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Real World Eye Tracking course 2018 - booking now open
by Durant, Szonya Nov. 27, 2017

Nov. 27, 2017

We are pleased to announce that booking for the Real World Eye Tracking Course April 16 +17, 2018 at Royal Holloway, University of London, is now open. This course is supported by the BBSRC and is accredited by the Market Research Society (counting for 12h Continued Professional Development). It is run jointly by the Dept. of Psychology, Royal Holloway and Acuity Intelligence Ltd. Why do you need to know about eye tracking? >From glasses you can use almost anywhere to laptops with them built-in and now augmented and virtual reality headsets - eye tracking is everywhere! But not all eye trackers are created equal, and to get the best out of this technology you need look around. Whether for simply knowing where a person looks or understanding cognitive states in high pressure environments, this is a technology you can't afford to ignore. Why we run this course We believe you need some theoretical background to get the most out of eye-tracking, but we also recognise the value that comes from the hands-on experience of designing, running and analysing real studies. Our aim is to give you the confidence to dive in and save you from drowning when you do! No other course offers this range of cutting edge multi-platform systems in one place, without a sales-person in sight! Try things out, and see the results for yourself. What you will learn How to justify your use of eye tracking methods and understand the evidence they provide Where to find further information when running your own projects How to choose the right tools and begin running your own project How to get the most out of your research through good design and great analysis Course content The course contains a mix of interactive lectures and small team project work supervised by an expert in the field. All attendees will experience running an eye tracking project from start to finish. You will also get to chat with experts and develop a feel for issues, independent of hardware and software platforms, from various research applications. Please see further details on https://www.royalholloway.ac.uk/psychology/research/eyetracking.aspx or book directly on https://www.eventbrite.com/e/real-world-eye-tracking-course-tickets-3969635… Please note, places often sell out quickly! We look forward to welcoming you in April! Best wishes Szonya Durant (RHUL) Tim Holmes (AI Ltd) ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Postdoctoral Researcher at MPI Leipzig
by Thomas Knoesche Nov. 27, 2017

Nov. 27, 2017

Dear colleagues, the Max-Planck-Institute for Human Cognitive and Brain Sciences (MPI-CBS, Leipzig, Germany) in seeking a Postdoctoral Researcher for a period of 3 years. The position is part of a collaboration between the Pompeu Fabra University at Barcelona, (G. Deco) and the MPI-CBS (A.D. Friederici, A. Anwander, T.R. Knösche), entitled "The Dynamic Connectome Underlying Language in the Brain" financed by the DFG priority program “Computational Connectomics”. You will work in a multidisciplinary team of computational and cognitive neuroscientists, imaging experts, biomedical engineers, neurologists, etc. The MPI-CBS offers excellent research facilities and prime imaging equipment (including 7T and CONNECTOM scanners). Project Description The neural language network is well described by systematic neuroscientific studies and may serve as an example for large scale cognitive networks within the human connectome. Important parameters of dynamic network models concern the structural/effective connectivity between brain areas. These connections are realized by bundles of axons with variable density, myelination status, and diameters. This results in complex transfer behavior, which is likely to have a profound influence onto the dynamics of the entire network. We plan to (i) establish a mathematical model for the transfer function between brain areas through fiber bundles, (ii) parameterize this model with individually measured white matter microstructure (acquired partly using novel high-gradient MR technology – CONNECTOM) and general data from the literature, (iii) incorporate this model into a dynamic network model (iv) explore the effect of the parameters onto the dynamics of canonical network architectures, (v) validate the model with electrophysiological calibration experiments, and (vi) use it to establish relations between language function and microstructural properties of brain tissue. The successful applicant should have a strong background in Computational Neuroscience, preferably including a PhD thesis in that area. Experience with modeling dynamic systems in neuroscience is necessary. A fair degree of neurobiological and neuroimaging understanding will be an advantage. Remuneration is based on the payscale of the Max Planck Society. The Max Planck society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Please submit your application via our online system at http://www.cbs.mpg.de/vacancies (using subject heading “PD 24/17”). Closing date for applications is December 15th, 2017. Contact for informal enquiries regarding the post: PD Dr.habil. Thomas R. Knösche (knoesche(a)cbs.mpg.de) For more information about the group see: http://www.cbs.mpg.de/methods-and-development-groups/meg-and-cortical-netwo… -- --- PD Dr.habil. Thomas R. Knösche Group Leader Research group "Cortical Networks and Cognitive Functions" Max Planck Institute for Human Cognitive and Brain Sciences Stephanstraße 1A, 04103 Leipzig, Germany Phone: +49 341 9940-2619 Fax: +49 341 9940 2624 Email: knoesche(a)cbs.mpg.de http://www.cbs.mpg.de/~knoesche

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[WCCI 2018 Special Session] Interpretable Deep Learning Classifiers
by Teng Teck Hou Nov. 23, 2017

Nov. 23, 2017

[Apologies for cross-postings] Special Session on Interpretable Deep Learning Classifiers IEEE World Congress on Computational Intelligence 8 - 13 July 2018, Rio de Janeiro, Brazil www.ieee-wcci.org Chairs: Plamen P. Angelov, Lancaster University, UK p.angelov(a)lancaster.ac.uk Jose C. Principe, University of Florida, principe(a)cnel.ufl.edu Synopsis: Deep Learning is becoming a synonym of highly precise (reaching or surpassing capabilities of a human) computational intelligence technique. Very interesting and important results were reported recently in both scientific literature and also grabbed the imagination of the wider public and industry helping propel the interest towards AI, neural networks, machine learning. It was applied mostly to solve classification problems in image processing, but also for predictive tasks in speech processing and other problems. Despite the undoubted success in achieving high precision and avoiding handcrafting in feature selection a number of issues remain unresolved, such as: i) transparency and interpretability; ii) the requirement for extremely large training data set, computational resources and time; iii) overfitting and catastrophic failures with high confidence in some cases; iv) convergence proof for the case of reinforcement learning; v) rigid structure unable to be adapted/to dynamically evolve with new samples and/or new classes; vi)repeatability of the results. Methodologically, the vast majority of the techniques of this hot and quickly developing area are based exclusively on neural networks (convolutional, belief based, etc.). Very recently publications appear where the deep learning (multi-layer) architecture with different levels of abstraction is build based on fuzzy rulebased systems or fuzzy sets are used to represent coefficients/weights in Restricted Bolzman Machines, etc. The aim of the special session is to address the bottleneck issues listed above and discuss and represent alternative and most recent methods, techniques and approaches that can help resolve these issues. The specific sub-topics that will be of interest include: * Interpretable/Transparent Deep Learning * Computational and time complexity/efficiency of Deep Learning Methods * Repeatability of the results of Deep Learning Methods * Degree of confidence in the results of Deep Learning * Highly Parallelisable Deep Learning Methods * Deep Learning with proven convergence * Re-trainability and dynamically evolving structures/architectures for Deep Learning * Ensembles of Deep Learning Classifiers * Fuzzy Deep Rule-based Classifiers * Self-adaptive and Self-organising Deep Learning Architectures Also applications to: * Computer Vision * Image Classification * Robotics * Remote Sensing * Biology and Tomography * Surveillance and Defense * Industry 4.0 * Assistive Technologies and Digital Health Important dates: * Paper Submission Deadline 15 January, 2018 * Paper acceptance notification date 15 March, 2018 * Final paper submission deadline 1 May, 2018 Conference: 8-13 July, 2018 Submission Guidelines: Please follow the regular submission guidelines of WCCI 2018. Please notify the chairs of your submission by sending an email to: p.angelov(a)lancaster.ac.uk or principe(a)cnel.ufl.edu This special session is supported by the IEEE Task Forces on Deep Learning http://deeplearning.math.unipd.it/ and on Evolving and Adaptive Fuzzy Systems, http://www.caos.inf.uc3m.es/aefs/

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University of Sussex 4-year PhD Programme in Neuroscience
by Miguel Maravall Nov. 22, 2017

Nov. 22, 2017

Dear comp-neuro colleagues, We are now inviting applications for the PhD Programme in Neuroscience at the University of Sussex, for entry in September 2018. Could you please kindly distribute to interested students - we are very interested in applications from students with quantitative (physical sciences/computing/math) backgrounds. Thank you Best wishes Miguel Maravall University of Sussex 4-year PhD Programme in Neuroscience Sussex Neuroscience is now inviting applications for September 2018 entry to our funded PhD Programme, which includes a first year of laboratory rotations and taught modules. These support a transition into neuroscience from other science disciplines such as physics and computing, and provide students with the opportunity to both broaden and deepen their experience of different neuroscience fields and techniques. More than 40 supervisors are offering research projects across the following thematic areas: Circuits, Systems and Computational Neuroscience Cognitive and Behavioural Neuroscience Cellular and Molecular Neuroscience Translational and Clinical Neuroscience Application Deadline: January 8th 2018 The Sussex campus is home to one of the largest neuroscience research communities in the UK, with strong interdisciplinary interactions between the biological and computational sciences. Our PhD Programme attracts some of the brightest students internationally. Home/EU fees are waived and a stipend is provided. We also welcome applications from non-EU students; we are able to contribute top-up funds to exceptional international students who have secured external funding. All students on the Programme can access financial support to attend conferences and additional training opportunities in the UK and overseas throughout their PhD. For further information and application instructions, please visit: www.sussex.ac.uk/sussexneuroscience/study/4yearphd<http://www.sussex.ac.uk/sussexneuroscience/study/4yearphd>

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a fantastic post-doc opportunity in the University of Cambridge
by Julija Krupic Nov. 22, 2017

Nov. 22, 2017

Dear All, I am looking for talented and highly motivated researchers interested in studying how hippocampal spatial representations are generated and used for navigation. If you are interested please contact me directly krupiclab.com or apply here: http://www.jobs.ac.uk/job/BFR632/research-assistant-associate/ Best, Julija

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2018 Telluride Neuromorphic Cognition Engineering Workshop Call for Topic Proposals: Deadline 21.12.2017
by elisabetta chicca Nov. 22, 2017

Nov. 22, 2017

The call for 2018 Telluride Neuromorphic Cognition Engineering Workshop Call for Topic Proposals is now open. The 2018 theme for the workshop is * Embodied Perception and Cognition*. Deadline for proposals is *21.12.2017*. See the call here: https://docs.google.com/document/d/11tdwIIcJ75NagH5ENyQrG05z2pGKEt9EGRTOSWB… We look forward to your proposals. Regards, The 2018 Telluride Workshop Organizing Team -- Prof. Dr. Elisabetta Chicca CITEC - Bielefeld University Inspiration 1 33619 Bielefeld - Germany Tel.: +49 521 106-12043 Fax : +49 521 106-12348

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Postdoctoral position in Human Single Unit and Intracranial EEG to study Human Memory
by Zaghloul, Kareem (NIH/NINDS) [E] Nov. 22, 2017

Nov. 22, 2017

Hi, I would like to post the following advertisement for an available post-doc position to the comp-neuro listserv. If you could help me with that, I would appreciate it. Please let me know if you need any more information. Thank you for your help, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electrocorticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants who will be attending either the Society for Neuroscience (Washington, DC), or American Epilepsy Society (Washington, DC) conferences can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation.

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[jobs] Fully funded MS/PhD student positions in Data Science, Bio-inspired Robotics, and Neural Engineering at IST, VISTEC, Thailand
by Poramate Manoonpong Nov. 21, 2017

Nov. 21, 2017

Dear Colleagues, The School of Information Science and Technology (IST) at Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand, welcomes all applicants for our international Master's and Doctoral degree program. Our school offers a competitive, English language, interdisciplinary, world-class PhD training and research program in Information Science and Technology. We have 20 fully funded Master and PhD student positions. Our program includes 2-years MS, 5-years MS+PhD, and 3-years PhD options. The students will be formally affiliated with the Master/PhD program at IST, VISTEC, Thailand. They will have the opportunity to develop new algorithms and research ideas and perform experiments on real hardware, e.g., High performance computing, Advanced robotic systems, Exoskeleton, and Brain computer interface systems. Our basic research under the IST umbrella focuses on main areas: Data Science, Cloud/HPC, IOT, Bio-inspired Robotics, and Neural Engineering. Data Science and Engineering (Large-Scale Analytics, Data Engineering, Data Mining, Artificial Intelligence and Machine Learning): We address various scalability issues in machine learning, data mining, database query processing. We are especially interested in developing solutions for machine learning problems with an extremely large number of classes and a scalable system for managing and storing various forms of high-dimensional data. Our application domains include (but not limited to) natural language processing, time series data management, geospatial data mining, business intelligence, IoT data analytics, and health data analytics. Bio-inspired robotics: We address how to develop brain-like mechanisms for adaptive motor control and autonomous learning of embodied multi-sensorimotor robotic systems (i.e., bio-inspired robots, exoskeleton). We also transfer the developed mechanisms (BRAIN technology) to application areas like human-machine interaction, brain-machine interface, and rehabilitation (see www.brain.vistec.ac.th<http://www.brain.vistec.ac.th/> for more details). Neural Engineering: We address an investigation of closed-loop EEG-based Brain Computer Interface (BCI) helps bridge the gap in communication between man and machine. Understanding patterns of brain activity from basic neuroscience research will help engineering to optimize the BCI system that could be applied in the real-world environment. Advanced signal processing techniques and pattern recognition methods such as machine learning, artificial neural network, and deep learning can improve the efficiency of BCI by increasing information transfer rate and accuracy. Ultimately, research based on BCI could lead to the development of novel tools used in both clinical and healthy populations (see www.brain.vistec.ac.th<http://www.brain.vistec.ac.th/> for more details). Financial Support: This studentship includes 1) fee bursary to cover the tuition fee rate 2) a maintenance allowance during the study, 3) grant of 1 Million Bath scholarship for international research experience. Person Specification: The successful applicant from any nationality will have a strong undergraduate (first class or upper second class) and/or Master's degree in 1) Science (Physics, Mathematics, Computer and related fields) 2)Engineering (Computer, Mechanical, Electrical, Robotics, and related fields) 3) Applied Science (Information Technology, ICT, Machine Learning, and related fields) Applicants with excellent programming and analytical/mathematical skills as well as expertise and research interests lying at the intersection of Data science, Bio-inspired Robotics, and Neural Engineering are particularly welcome to apply. Applicants from non-English speaking countries will need to satisfy English language entry requirements. Application Documents: 1. CV 2. Official Transcripts 3. Statement of Purpose/ Statement of research interest Optional: 4. Letters of recommendation 5. English test score (TOEFL, IELTS, or other tests) 6. Publications, awards & honors 7. Portfolio and other relevant documents Applications should be submitted online by January 31st , 2018. http://www.vistec.in.th/admission/form.php http://www.vistec.in.th/admission/ For further information or questions please contact Box Leangsuksun E-mail: chokchai.l(a)vistec.ac.th<mailto:chokchai.l@vistec.ac.th> Vidyasirimedhi Institute of Science and Technology, Wangchan Valley 555 Moo1 Payupnai, Wangchan, Rayong 21210 Thailand Tel: +6633-01-4116 Website of VISTEC: http://www.vistec.ac.th<http://www.vistec.ac.th/>

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Multiple academic positions in Cognitive Analytics Research Laboratory, Ulster University
by Wong-Lin, Kongfatt Nov. 21, 2017

Nov. 21, 2017

Several academic positions in data analytics, including neuroinformatics, are available at Ulster University. They range from Lecturership (Assistant Professorship equivalent) to (Full) Professorship. The application deadline is 8 December 2017. Best, KongFatt Wong-Lin https://www.ulster.ac.uk/staff/k-wong-lin ----------------------------------------------------------------------- Professor of Data Analytics (2 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4MCZ2dF90…> http://www.jobs.ac.uk/job/BFM233/professor-of-data-analytics-2-posts/ Readers/Senior Lecturers in Data Analytics (3 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4MSZ2dF90…> http://www.jobs.ac.uk/job/BFM247/reader-senior-lecturer-in-data-analytics-3… Lecturers in Data Analytics (3 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4NCZ2dF90…> http://www.jobs.ac.uk/job/BFM258/lecturer-in-data-analytics/ Ulster University – Cognitive Analytics Research Laboratory, Faculty of Computing, Engineering and the Built Environment An exciting opportunity to contribute to internationally recognised research and help shape the future of data analytics. Ulster is a university in the top 3% globally, where excellence in teaching is underpinned by world-leading research. Ranked as one of the world’s top 150 young universities and in the top 25% of UK universities for overall research, Ulster is ambitious, forward-thinking and outward-looking. Our new Cognitive Analytics Research Laboratory is Northern Ireland’s first data analytics institute. It is a £4 million investment that brings together businesses, government and advanced academic research expertise to find innovative application areas for cognitive analytics techniques. It is part of an exciting programme of investment in new infrastructure and initiatives driven by a five-year strategic vision to deliver a university that is sustainable and innovative with a strong international reputation. Ulster has a long history of expertise in data analytics in both machine learning algorithms and the application of analytical techniques across a diverse range of domains including Health and Neuroinformatics. We are seeking to appoint talented and creative people with a genuine passion for their work, who will deliver outstanding research and teaching that encourages innovation, leadership and vision. The appointment is permanent and is open to applications from individuals or teams. Location: Magee campus, Derry~Londonderry. Attractive reward package including a competitive starting salary, pension scheme and financial assistance with relocation. Closing date for applications: 8 December 2017. For more information about this opportunity visit: www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> ------------------------------------------------ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Postdoctoral position in computational neuroscience and machine learning
by Maxim Bazhenov Nov. 20, 2017

Nov. 20, 2017

Applications are invited for a post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to develop neuroscience inspired machine learning algorithms capable of continual learning and adapting to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton (UC Irvine). The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and apply these principles to the artificial systems to enable continuous learning without catastrophic forgetting. The successful candidate will collaborate with a team of researchers to design neural network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation based on experimental data. These models will be used to derive learning principles that can be combined with advances in artificial intelligence and machine learning. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning, or, alternatively, experience in machine learning algorithms and some basic knowledge ofneuroscience. Experience with hierarchical learning, reinforcement learning, and/or goal-directed decision-making would be particularly helpful. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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NEST Conference 2017 --- Register NOW!
by Dennis Terhorst Nov. 17, 2017

Nov. 17, 2017

Dear all! Coming up mid of December the community of NEST users and developers will meet to discuss neuroscientific work with NEST and the status and future of simulation technology on the NEST Conference 2017 to be held on 19/20 December 2017 (Tuesday/Wednesday, lunch to lunch) at Haus Overbach in Barmen near Jülich, Germany. After our very successful and stimulating meeting in Karlsruhe last November, we are greatly looking forward to 24 hours filled with presentations and discussions of NEST applications to computational neuroscience and neurorobotics projects and NEST technology development. You are cordially invited to contribute to the program with your contribution! We are grateful to the Human Brain Project Outreach Programme and Education Programme for financial support. Important deadlines: - 19 November 2017: Extended deadline for submission of contribution - 26 November 2017: Extended deadline for registrations For details, contribution submission and registration, please see https://indico-jsc.fz-juelich.de/event/52/overview We are looking forward to seeing you all in December! best, Dennis Terhorst -- Dipl.-Phys. Dennis Terhorst Coordinator Software Development Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Theoretical Neuroscience, Institute for Advanced Simulation (IAS-6) Jülich Research Centre, Member of the Helmholz Association and JARA 52425 Jülich, Germany Building 15.22 Room 4004 Phone +49 2461 61-85062 Fax +49 2461 61- 9460 d.terhorst(a)fz-juelich.de

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Postdoc position in systems/computational neuroscience (retina)
by Philipp Berens Nov. 17, 2017

Nov. 17, 2017

Dear all, Thomas Euler and I have a postdoc position available. Applications are sought for a Postdoc position for a collaborative project in the groups of Thomas Euler and Philipp Berens at the Institute for Ophthalmic Research , the CIN, and the Bernstein Centre for Computational Neuroscience (BCCN) of the University of Tübingen. The project is part of the DFG Priority Programme „Computational Connectomics” (SPP 2041). The goal of the project is to combine functional imaging of excitatory and inhibitory signals with computational modeling based on connectomics data from electron microscopy to study the role of amacrine cell circuits in the retina. The candidate for the position ... must have a PhD in a relevant discipline (e.g. neuroscience) must have experimental skills ideally in functional 2P imaging, alternatively in electrophysiology has a strong background in neuroscience at the circuit or systems level, ideally in the visual system is proficient in modern programming languages (i.e. Python) is experienced in data analysis. The ideal candidate is self-motivated, independent, and able to learn quickly, is proficient in English verbal and written communication and has strong problem-solving skills. What we offer The positions is available immediately, with funding for 3 years and possible extension depending on further funding. The postdoc will work embedded in an highly collaborative, interdisciplinary environment, providing ample possibilities for career development. Applications should include a CV, a statement of research motivation and experience, and the names of at least two referees. Please compile your application in one single PDF-file and email it to positions(a)eulerlab.org. Further details: http://eulerlab.de/positions/ -- PD Dr. Philipp Berens (Group Leader) University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org phone: +49-7071-2988833

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ICMNS 2018: Call for Contribution
by Etienne Tanre Nov. 16, 2017

Nov. 16, 2017

We are delighted to announce the 4th International Conference on Mathematical Neuroscience (ICMNS 2018), to be held at the Congress Center in Juan-les-Pins, on the French Riviera. Tutorials will be held on June 10, and the main conference is June 11 - June 13. More details are given on the conference website: https://icmns2018.inria.fr <https://icmns2018.inria.fr/> The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. To fulfill this goal, we will hold a tutorial the day before the main meeting. The main conference will feature a broader set of topics in mathematical neuroscience, with a focus on (a) the use of experimental data in modeling studies; (b) theory and models that explore hypotheses and design better experiments; (c) rigorous mathematical models of neural systems; (d) improved methods for analyzing complex data sets. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by the Program Committee and divided into parallel talk sessions and poster sessions. Details will be given on the web site <https://icmns2018.inria.fr/>. The abstract submission <http://icmns2018.inria.fr/submission/> deadline is January 23, 2018. Student Awards: We offer student awards. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair <https://easychair.org/conferences/?conf=icmns2018>. Program Committee Daniele Avitabile (Univ. of Nottingham, UK) Nicolas Brunel (Duke Univ., USA) Carina Curto (Pennsylvania State Univ., USA) Rodica Curtu (Univ. of Iowa, USA) Mathieu Desroches (Inria Sophia-Antipolis, France) Lubomir Kostal (Inst. of Physiology, Czech Republic) Carlo Laing (Massey Univ., New Zealand) Benjamin Lindner (Bernstein C. for Comp. Neuroscience Berlin, Germany) Eva Löcherbach (Univ. Cergy-Pontoise, France) André Longtin (Univ. Ottawa, Canada) Jeff Moehlis (Univ. California Santa Barbara, USA) Hiroya Nakao (Tokyo Instit. of Technology, Japan) Patricia Reynaud Bouret (Univ Nice, France) Alex Roxin (CRM Barcelona, Spain) Delphine Salort (Univ Pierre et Marie Curie, France) Wilhelm Stannat (TU Berlin, Germany) Denis Talay (Inria Sophia-Antipolis, France) Michèle Thieullen (Univ Pierre et Marie Curie, France) Martin Wechselberger (Univ Sydney, Australia) Advisory Board Paul Bressloff (Univ. of Utah, USA) Evelyn Buckwar (JKU Linz, Austria) Stephen Coombes (Univ. of Nottingham, UK) Olivier Faugeras (Inria Sophia Antipolis, France) Julijana Gjiorgjieva (Max Planck Institute for Brain Research, Germany) Zachary Kilpatrick (Univ. of Colorado Boulder, USA) Robert Rosenbaum (Univ. of Notre Dame, USA) Romain Veltz (Inria Sophia Antipolis, France) We hope to see you in Juan les Pins this June! All the best, Susanne Ditlevsen Bard Ermentrout Etienne Tanré

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Postdoctoral Fellow Position in Human Neuroimaging
by Sylvia Morelli Nov. 16, 2017

Nov. 16, 2017

The Empathy and Social Connection Lab <http://www.morellilab.com/> at the University of Illinois at Chicago (PI: Sylvia Morelli) has an opening for a postdoctoral fellow to begin any time between January to July 2018. The postdoctoral fellow will have the opportunity to work on neuroimaging research related to empathy, prosociality, social networks, well-being, loneliness, and depression (including collaborative projects with the Stanford Social Neuroscience Lab <http://ssnl.stanford.edu/>). Successful applicants should have a PhD in neuroscience, psychology, computer science, statistics/biostatistics, mathematics, or a related field. They should also have a strong background in programming, statistics, and the design and analysis of fMRI experiments, as well as excellent communication and organizational skills. Experience with computational neuroscience techniques — such as multivariate pattern analysis, prospective prediction, machine learning, effective connectivity, or connectomics/graph theory — is a bonus, but not a requirement. The position will be fully funded for at least 2 years with the potential for a longer-term position. We will review applications beginning December 10, until the position is filled. Applicants should send a CV, a statement describing research interests and experience (maximum: 1 page), and contact information for two references to Sylvia Morelli (smorelli(a)uic.edu <mailto:smorelli@uic.edu>).

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PhD position in neural coding
by Matthew Chalk Nov. 16, 2017

Nov. 16, 2017

PhD position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: Applications are invited for a fully funded 3-year PhD studentship with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/ <http://www.institut-vision.org/en/>), within the University of Pierre and Marie Curie (UPMC), in Paris, France,. The project will involve investigating neural coding in the retina. Specifically, it will ask how neurons achieve diverse goals, such as optimising efficiency or making predictions about the future. The PhD will include both a theoretical and an experimental component. The theoretical part will extend work by Chalk et al. to develop a general theory of neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part, where we will test this theory in the retina, will be in close collaboration with the lab of Olivier Marre, who have developed techniques for recording from hundreds of retinal ganglion cells simultaneously (e.g. Marre et al. PLoS Comp. 2015). The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The ideal candidate should have a strong quantitative background, with a masters degree in fields such as physics, computer science or computational neuroscience. Applications should include a CV, a short letter of motivation (max 1 page), and letter of recommendation. The earliest starting date is January 2018. Electronic submissions should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions if you are interested.

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Deadline Approaching: Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong Nov. 15, 2017

Nov. 15, 2017

Dear Colleague, This is a friendly reminder that *Dec 1, 2017 *is the deadline for Columbia's search for *two faculty positions in Theoretical and Statistical Neuroscience.* We would appreciate it if you could forward the information below or the flier attached to any interested candidates. The link to apply is: academicjobs.columbia.edu/ applicants/Central?quickFind=65051 Thanks and Best Wishes, Larry Abbott and Liam Paninski *Two Junior Faculty Position in Theoretical / Statistical Neuroscience* The Department of Neuroscience, the Department of Statistics, and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University invite applications for two tenure-track positions at the Assistant or Associate Professor level, to begin in 2018. One position will focus on theoretical neuroscience with an appointment in the Department of Neuroscience. The other position will focus on the application of statistics to neuroscience with an appointment in the Department of Statistics. Both positions will include appointments as well as office and laboratory space in the Center for Theoretical Neuroscience and the Grossman Center of the Statistics of Mind within the Mortimer B. Zuckerman Mind Brain Behavior Institute housed in the Jerome L. Greene Science Center at Columbia. The Zuckerman Institute brings together scientists from diverse backgrounds whose research focuses on brain function, wiring, and development. We are seeking dynamic scientists interested in exploiting this multidisciplinary environment by interacting with Zuckerman Institute faculty as well as with others in the Columbia neuroscience, biological sciences, physical sciences, statistics, and machine learning communities, including the Data Science Institute. Zuckerman Institute faculty will function as full members of their home departments: tenure will be granted by the home department and faculty will contribute to teaching in their home departments and the Zuckerman Institute. Candidates will be expected to show expertise and an ability to lead a research program in theoretical and/or statistical neuroscience. Applicants are expected to have a strong record of scientific achievement and to demonstrate the ability to engage in innovative research and teaching. Applicants should hold a PhD in neuroscience, statistics, or a related area. Applications should be submitted through this link: academicjobs.columbia.edu/applicants/Central?quickFind=65051 The following documents should be uploaded with your application: cover letter, CV, research plan, teaching statement, three letters of reference or a listing of at least three references that can be contacted, and the inclusion of one or two publications. Women and minorities are strongly encouraged to apply. We will start to evaluate applications on December 1, 2017. Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.

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Call for SMARTSTART Applications
by Smart Start Coordination Office Nov. 15, 2017

Nov. 15, 2017

Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the next round in the winter term 2018/19. The Deadline for application is Wednesday, February 28, 2018. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de/> Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart(a)fz-juelich.de<mailto:smartstart@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Princeton Intensive Summer School in Neuroscience
by Carlos Brody Nov. 14, 2017

Nov. 14, 2017

** Princeton Intensive Summer School in Neuroscience ** We want to bring to your attention an intensive 4-week summer course, Cellular, Computational and Cognitive Neuroscience (C3N), designed to introduce physicists, mathematicians, engineers and computer scientists to the major questions and techniques of modern neuroscience, with a special emphasis in both lecture and laboratory components on modern recording and analysis methods, ranging from large scale electrode and optical recording (and optogenetic stimulation) to mathematical analysis of neural dynamics within the datasets produced by these methods. The course and application are described in detail at http://C3N.princeton.edu. Senior graduate students or postdoctoral fellows are particularly appropriate candidates for the C3N course. Grants from the NIMH and the Burroughs Wellcome Foundation allow us to meet the full financial needs of all admitted students. The application deadline is Feb. 1 2018. http://C3N.princeton.edu David Tank, Michael Berry and Alan Gelperin, Princeton Neuroscience Institute

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Call for Applications - 2018 Nengo Summer School
by Peter Blouw Nov. 14, 2017

Nov. 14, 2017

[All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce a special version of our annual Nengo summer school that will host the* first public access* to *Braindrop*, a new mixed analog-digital neuromorphic chip developed in collaboration with Stanford and Yale. In addition to introducing Braindrop, this two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [1]. Nengo is also being used to program a variety of state-of-the-art neuromorphic chips, including Braindrop! For a look at last year's summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals with a relevant background. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] Application Deadline: February 15, 2018 *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more... *Date and Location:* June 3th to June 15th, 2018 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) We look forward to hearing from you!

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PhD position: Calcium signalling in the C. elegans brain
by Melanie Stefan Nov. 14, 2017

Nov. 14, 2017

PhD position: Using C. elegans and computational modelling to understand the mechanisms governing calcium signalling in the brain A BBSRC-funded PhD position is available at the University of Edinburgh, in a joint project between the Busch lab and the Stefan lab. The project involves studying Calcium signalling in the C. elegans brain, using both experimental methods (genetics, behavioural assays, functional neuronal imaging) and computational modelling. Full funding is available for UK or EU citizens who have been resident in the UK for 3 years prior to commencement. Further details and instructions on how to apply are available here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=89850 The application deadline is 4 December 2017. If you wish to discuss the project, contact Emanuel Busch (Emanuel.Busch(a)ed.ac.uk) or Melanie Stefan (melanie.stefan(a)ed.ac.uk) -- Melanie I Stefan, PhD Edinburgh-Zhejiang Lecturer University of Edinburgh Edinburgh, UK, EH8 9XD http://melaniestefan.net

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Job Posting: Computational Neuroscience Applications Engineer
by Christian Rössert Nov. 13, 2017

Nov. 13, 2017

Dear Colleagues, INAIT is seeking a permanent and full-time Computational Neuroscience Applications Engineer INAIT is a spin-off from the Blue Brain Project that will leverage 12 years of experience on brain modeling and simulation to build the next generation AI systems. INAIT has a unique position in knowledge of brain structure and function, advanced software ecosystems, and an advanced team of scientists and engineers. We expect to radically innovate on current AI systems to more easily capture diverse brain-like capabilities. Send your cover letter and CV to contact(a)inait.ai Job description *Major duties and responsibilities:* - Contribute to the development of computational neuroscience applications using state of the art computational neuroscience simulation packages and INAIT applications - Contribute to the development of computational neuroscience models of neurons and neural networks - Perform a technical survey of computational neuroscience algorithms and technology *Essential skills and experience required:* - University degree in computational neuroscience - Professional experience in state of the art computational neuroscience simulation frameworks such as NEST, NEURON, GENESIS, … - Experience in developing computational models of morphologically and/or (preferred) point neuron models - Professional experience in Python code development - Professional experience using UNIX/Linux operating systems - Good team player - Fluent spoken and written English *Preferred:* - Experience in the development of state of the art computational neuroscience simulation frameworks such as NEST, NEURON, GENESIS, … - Experience in the use of computational neuroscience simulation frameworks paradigms on shared and/or distributed parallel machines. - Professional experience in the software development life-cycle including unit testing, continuous integration, version control, debugging and documentation *Profile:* - Master’s degree or PhD (preferred) in computational neuroscience followed by at least 2-years professional experience - Quality-driven work ethics - Successful track record in designing, developing and maintaining software projects Where: Lausanne, Switzerland Start date: As soon as possible Activity rate: 100% Deadline for application: until position is filled Duration of contract: CDI Send your cover letter and CV to contact(a)inait.ai INAIT SA EPFL-Innovation Park - Bat. D 1015 Lausanne Switzerland contact(a)inait.ai

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Post-doc position in electrophysiology/neural coding at Columbia University
by Qi Wang Nov. 11, 2017

Nov. 11, 2017

A postdoc position is immediately available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate's qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu. -- ====================================== Qi Wang, Assistant Professor Department of Biomedical Engineering Columbia University ET 351, 500 W 120th Street New York, NY 10027 Email: qi.wang@columbia.eduhttp://neclab.bme.columbia.edu/ <qw2161(a)columbia.edu>

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support for Two PhD Fellows in Bilbao, Caixa Fellowship
by Jesus Cortes Nov. 10, 2017

Nov. 10, 2017

Dear colleague La Caixa Foundation has published the call for International PhD fellowships within the program "INPhINIT". This call is providing excellent working conditions for excellent international students. More information at https://obrasociallacaixa.org/el/investigacion-y-becas/progr ama-de-becas-de-posgrado/inphinit/programme-description We will be supporting 2 applicants, one associated to the project “Machine Learning, Neurological Disorders and Brain Networks” supervised by Jesus M Cortes and the other associated to the project "Multi-scale epileptic networks: a longitudinal structural-functional study of human epileptic networks combining deep electrode recordings and MRI" supervised by Paolo Bonifazi. Applicants must have a background in Mathematics, Physics or Engineering. The student will work in the Computational Neuroimaging Lab in Biocruces (Bibao) focused on developing and applying brain connectivity methods in combination with machine learning (such as supervised and unsupervised classification), modeling (neuron or circuit levels) and imaging processing of different imaging modalities (such as magnetic resonance imaging or electroencepaholography). The student will interact with Engineers, Physicists and Clinical Researchers. Further details and readings: To study brain functioning and disfunctioning, the Computational Neuroimaging Laboratory in Biocruces (Bilbao) is focused on brain networks at the macroscale, thus affecting to the large-scale brain organization. While diffusion images provide information about structural connectivity, functional magnetic resonance imaging shed light on resting state functional connectivity. In this project, the student will work with different datasets, some of them publicly available, others acquired in our laboratory, covering different pathologies such as autism, patients in coma, epilepsy, patients with multiorganic failure, neurodegeneration such as Alzheimer’s disease or Parkinson and psychiatric disorders. https://www.frontiersin.org/articles/10.3389/fnagi.2017.00215/full http://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00007 https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01024/full https://www.nature.com/articles/srep10532 Working conditions: 3-years contract, gross salary of about 26.000 euro - 28.000 euro per year, and an extra travelling and conference budget of about 3.500 euro per year. Applicant requirements: At recruitment date, candidates must have MSc degree and an English certification of minimum B2. In addition, candidates must not have residence in Spain longer than 12 months in the 3 years prior to recruitment date. Interested applicants contact to: Prof. Jesus M Cortes Ikerbasque Research Professor Head of the Laboratory of Computational Neuroimaging, Biocruces, Bilbao (Spain) Coordinator of the Quantitative Biomedicine Unit, Biocruces, Bilbao (Spain) Research Professor at the University of the Basque Country (Spain) http://www.jesuscortes.info jesus.m.cortes(a)gmail.com and/or Dr. Paolo Bonifazi Ikerbasque Tenure Track Professor Computational Neuroimaging Laboratory http://www.ikerbasque.net/es/paolo-bonifazi paol.bonifazi(a)gmail.com -- http://www.jesuscortes.info <http://jesuscortes.info> https://neurokafe.github.io/ https://thesciencebridge.org/

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Fully funded PhD Studentship in Biomedical Engineering
by Jayawan Wijekoon Nov. 9, 2017

Nov. 9, 2017

Fully funded PhD Studentship in Biomedical Engineering at the University of Manchester (through UK Medical Research Council Doctoral Training Partnership) is now open to UK and EU candidates. The successful candidate who have obtained, or be about to obtain, an undergraduate or Masters qualification in a relevant subject and should meet the minimum entry requirements of the School. The successful PhD student will help to develop a wearable fetal health monitoring vest to reduce stillbirths. The PhD student is expected to carry out electronic engineering or signal processing research. This multidisciplinary project is carried out with the collaboration of St Mary's Hospital, Manchester. For more details, please click the link given below. If you need further details, you can contact me (email: Jayawan.wijekoon(a)manchester.ac.uk<mailto:Jayawan.wijekoon@manchester.ac.uk>) directly. Web link to apply for the studentship<https://www.findaphd.com/search/projectdetails.aspx?PJID=89880>: https://www.findaphd.com/search/projectdetails.aspx?PJID=89880 The deadline for the application is 17th of November 2017. Kind regards, -- Dr. Jayawan Wijekoon Lecturer in VLSI Design & Digital Systems Design D31B, Sackville Street Building, School of Electrical and Electronic Engineering The University of Manchester, Manchester, M13 9PL, UK Tel. +44 (0)161 306 4736

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CFP: Special Issue on Crossmodal Learning
by Pablo Barros Nov. 9, 2017

Nov. 9, 2017

CALL FOR PAPERS Special Issue on Computational Models for Crossmodal Learning of the Cognitive Systems Research Journal. https://www.journals.elsevier.com/cognitive-systems-research/ I. Aim and Scope The ability of processing crossmodal information is a fundamental feature of the brain that provides a robust perceptual experience for an efficient interaction with the environment. Consequently, the integration of multisensory information plays a crucial role in autonomous systems to create robust and meaningful representations of objects and events. For dealing with real-world information, an autonomous, intelligent system must be capable of processing, integrating, and segregating different modalities for the purpose of coherent perception, decision-making, and cognitive learning. Recent neurophysiological findings in crossmodal learning have inspired novel computational models with the aim to trigger biologically inspired behavioral responses. A rich set of neural mechanisms support the integration and segregation of multimodal stimuli, providing the means to efficiently solve conflicts across modalities. This special issue aims to invite contributors from psychology, computational neuroscience, artificial intelligence, and cognitive robotics to discuss current research on crossmodal learning mechanisms both from the theoretical and modelling perspective. II. Potential Topics Topics include, but are not limited to: - New theories and findings on crossmodal processing - New neuroscientific results on crossmodal learning - Machine learning and neural networks for learning multisensory representations - Computational models of crossmodal attention and perception - Brain-inspired approaches for multisensory integration - Multisensory robot perception III. Submission Authors must use the Evise system to submit their contibutions, more informations can be found here: https://www.journals.elsevier.com/cognitive-systems-research/ *All manuscripts must be submitted to the Special Issue "VSI: Crossmodal Learning"* - Paper submission deadline: 09.02.2018 IV. Guest Editors Pablo Barros, University of Hamburg, Germany German I. Parisi, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany Bruno Fernandes, Universidade de Pernambuco, Brazil -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info

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Postdoc at Edinburgh - Visual navigation in ants
by Barbara Webb Nov. 9, 2017

Nov. 9, 2017

A research associate position is available in the Insect Robotics group in the School of Informatics at the University of Edinburgh to work on developing experimental and modelling tools as part of the BBSRC funded project “Visual navigation in ants: from visual ecology to brain”, in collaboration with the University of Sussex. Excellent skills in programming are essential and candidates with experience in developing experimental tools such as visual tracking and trackballs, in carrying out advanced analysis of experimental data, in image processing and analysis, will be preferred. Ideally, candidates would also be familiar with invertebrate brain and behaviour research, and/or have expertise in modelling of sensory and neural systems. The post is full time and fixed term for 36 months. The post is available from 1st January 2018. Salary: £32,548 - £38,833 per annum Informal enquiries can be addressed to: Professor Barbara Webb (b.webb(a)ed.ac.uk) Principal Investigator of the project. Further details and the application form can be found at the University of Edinburgh website: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobsp ec?p_id=041829 Closing Date: Wednesday 6th December 2017 at 5pm (GMT). -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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EPFL Simulation Neuroscience I - Enrol now on edX.org!
by Eilif Muller Nov. 9, 2017

Nov. 9, 2017

Dear Colleagues, I would like to bring to your attention a recently launched Massive Open Online Course (MOOC) on Simulation Neuroscience we are now offering on edX.org, leveraging the HBP Brain Simulation Platform. It is the first of 3 planned MOOCs through which we will teach students to construct and simulate data-driven microcircuits, like the Blue Brain cortical model. More details are below. Many thanks for forwarding to students who may be potentially interested. Best regards, Eilif ===== ANNOUNCEMENT ===== The Center for Digital Education of the École polytechnique fédérale de Lausanne (EPFL), Switzerland in cooperation with the Blue Brian Project is welcoming students to participate in a Massive Open Online Course (MOOC) entitled: Simulation Neuroscience I - Reconstruction of a single neuron Faculty: Prof. Henry Markram, Prof. Idan Segev, Prof. Sean Hill, Prof. Felix Schuermann, Samuel Kerrian, Lida Kanari, Werner Van Geit, Dr. Srikanth Ramaswamy, Dr. Eilif Muller Abstract: Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience. The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations. In a series of three courses, you will learn to use the state-of-the-art modelling tools of the Human Brain Project Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. This is the first course of the series that will teach you how to digitally reconstruct a single neuron. We invite you to join us and share in our passion to reconstruct, simulate and understand the brain! The course is targeted at senior bachelor, master or PhD students in science or engineering fields looking for an introduction to Simulation Neuroscience. It is a 6 week course, with an estimated course load of 5-7 hours per week. The course is open as of November 2nd, and is self-paced and can be started at any time. For more information: https://www.edx.org/course/simulation-neuroscience-epflx-simneurox ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits Task Leader - Community Engagement - HBP Brain Simulation SP EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller

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Postdoc positions available in Alex Pouget's lab
by Berk Gercek Nov. 9, 2017

Nov. 9, 2017

The laboratory of Alexandre Pouget, at the university of Geneva, will have one, possibly two, postdoc positions available in March 2018. Candidates with strong physics or math background, and with prior experience in computational neuroscience, are encouraged to apply. The topic of research will depend on the interest and profile of the candidate though the lab currently works on decision making, neural coding, probabilistic learning and probabilistic inference in neural circuits. One of these positions will be affiliated with the International Brain laboratory (see https://www.internationalbrainlab.com/) Candidates should send their CV to Alexandre Pouget at alexandre.pouget(a)unige.ch. -- ---------------------------------------- Berk Gercek Doctoral student, Pouget lab Université de Genève 1 rue Michel-servet 1205, Geneva, Switzerland

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RaPID 2018 Workshop @ LREC: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments
by Dimitrios Kokkinakis Nov. 8, 2017

Nov. 8, 2017

*[apologies for cross-postings]* *1st Call for Papers* RaPID 2018: "*Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments*" Half-day workshop at LREC2018 | Miyazaki, Japan | May 8th, 2018 Submission deadline: January 14th, 2018 (see also Important dates below) RaPID website: <https://spraakbanken.gu.se/eng/rapid-2018> The RaPID 2018 Workshop will follow up on the successful RaPID Workshop @ LREC2016 (<https://spraakbanken.gu.se/eng/rapid-2016>) *CALL FOR PAPERS:* RaPID-2018 will be an interdisciplinary forum for researchers to share information, findings, and experience on the creation and processing of data acquired or produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, Parkinsons or schizophrenia. Particularly, the workshop focus on the creation, annotation, description, processing and analysis of linguistic, paralinguistic and extra-linguistic resources (e.g., spontaneous spoken language; audio-recorded samples and transcripts; eye tracking measurements; wearable and in-situ sensor data etc.) from individuals at various stages of these impairments and with varying degrees of severity in order to identify, extract, process, correlate, evaluate and disseminate various linguistic phenotypes and measurements and thus aid the diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations (e.g., acoustic measures; phonological, syntactic and semantic features; eye tracking measurements; sensors, signs and multimodal signals). Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. *TOPICS OF INTEREST:* The topics of interest for the workshop session include but are not limited to: - Building, adapting and availability of linguistic resources, data sets and tools - Data collection methodologies - Acquisition and combination of novel data samples - Guidelines, annotation schemas, annotation tools - Addressing the challenges of representation, including dealing with data sparsity and dimensionality issues, feature combination from different sources and modalities - Domain adaptation of NLP tools - Acoustic/phonologic/phonetic, syntactic, semantic and pragmatic analysis of data; including modeling of perception (e.g. eye-movement measures of reading) and production processes (e.g. recording of the writing process by means of digital pens, keystroke logging etc.); use of gestures accompanying speech and non-linguistic behavior - Modeling and deep / machine learning approaches for early diagnostics, prediction, monitoring, classification etc. of various cognitive and psychiatric impairments - Information fusion - Evaluation of the significance of features in diagnostics - Evaluation of tools, systems, components, metrics, applications and technologies including methodologies making use of NLP - Evaluation, comparison and critical assessment of resources - Involvement of medical/clinical professionals and patients - Ethical and legal questions in research with human data in the domain, and how they can be handled - Deployment - Experiences, lessons learned and the future of NLP/AI in the area *SUBMISSION DETAILS:* Papers are invited in all of the areas outlined in the Topics of interest, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, NLP, and computer science. We welcome also papers discussing problems derived from the design of relevant data samples and populations, but also the exploitation of results and outcomes as well as legal and ethical questions on how to deal with such data and make it available. The workshop solicits papers describing original research. Papers may preferably describe substantial and completed work, but may also focus on a contribution, a negative result, an interesting application nugget, a software package, a small, focused contribution *or* work in progress. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research and challenges by bringing together researchers from various research communities. RaPID-2018 will be a half-day LREC workshop to be held in the afternoon of Tuesday the 8th of May 2018. The oral presentations will be allocated 10-20 minutes (please see the program for details), possibly, followed by a common poster session (depending on the volume of received submissions). Submitted papers must be formatted according to the camera-ready style for LREC 2018 (style guidelines, templates etc. for the camera-ready papers are provided on LREC's main conference page/Submission), and submitted electronically in PDF format through the START conference manager page [*to be announced soon*]. Authorship does not have to be anonymous and *papers should be 4-8 pages of content*. Additional, unlimited pages containing the list of references and appendices are allowed. We will strive to have all submissions reviewed by at least three, or more, members of the program committee. Depending on the volume of contributions, papers that describe systems or tools will be invited to give a demo of their system during a poster session. *IMPORTANT DATES:* - First call for papers: Monday, 6th of November, 2017 - Submission deadline: Sunday 14th of January, 2018 - Notification of acceptance: Saturday 10th of February, 2018 - Early-bird registration for the main conference *and* workshops is the 15th of February, 2018 - Camera-ready papers: Sunday 10th of March 2018 - RaPID Workshop: Tuesday 8th of May, 2018 *CONTACT:* Dimitrios Kokkinakis: dimitrios _DOT_ kokkinakis _AT_ gu _DOT_ se *ORGANIZING COMMITTEE:* - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Kristina Lundholm Fors, University of Gothenburg, Sweden - Kathleen Fraser, University of Gothenburg, Sweden - Charalambos Themistocleous, University of Gothenburg, Sweden - Graeme Hirst, University of Toronto, Canada - Alexandra König, Geriatric Hospital Nice and the University of Côte d'Azur, France - Frank Rudzicz, Toronto Rehabilitation Institute and the University of Toronto, Canada - Arto Nordlund, the Sahlgrenska Academy, University of Gothenburg, Sweden *PROGRAMME COMMITTEE**:* - Jan Alexandersson, DFKI GmbH, Germany - Eiji Aramaki, Kyoto University, Japan - Simon Dobnik, University of Gothenburg, Sweden - Jens Edlund, KTH - Royal Institute of Technology, Sweden - Gerasimos Fergadiotis, Portland State University, USA - Kathleen Fraser, University of Gothenburg, Sweden - Peter Garrard, St George's, University of London, UK - Lena Hartelius, the Sahlgrenska Academy, University of Gothenburg, Sweden - Graeme Hirst, University of Toronto, Canada - Kristy Hollingshead, Florida Institute for Human & Machine Cognition (IHMC), USA - Richard Johansson, University of Gothenburg, Sweden - Masatomo Kobayashi, IBM Research - Tokyo, Japan - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Alexandra König, Geriatric Hospital Nice and the University of Côte d'Azur, France - Peter Ljunglöf, Chalmers University of Technology, Sweden - Kristina Lundholm Fors, University of Gothenburg, Sweden - Arto Nordlund, the Sahlgrenska Academy, University of Gothenburg, Sweden - Marcus Nyström, University of Lund, Sweden - Paul Rayson, Lancaster University, UK - Vassiliki Rentoumi, SKEL, NCSR Demokritos, Greece - Fabien Ringeval, Université Grenoble Alpes, France - Frank Rudzicz, Toronto Rehabilitation Institute and the University of Toronto, Canada - Kairit Sirts, University of Tartu, Estonia - Hironobu Takagi, IBM Research - Tokyo, Japan - Charalambos Themistocleous, University of Gothenburg, Sweden - Athanasios Tsanas, University of Oxford, UK - Spyridoula Varlokosta, National and Kapodistrian University of Athens, Greece - Åsa Wengelin, University of Gothenburg, Sweden -

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Computational Neuroscience of Prediction: Upcoming Brain Conference
by Mihaela Vincze Nov. 8, 2017

Nov. 8, 2017

Dear Colleague, We would like to bring to your attention the upcoming Brain Conference on *Computational Neuroscience of Prediction <http://www.fens.org/Meetings/The-Brain-Conferences/The-Computational-Neuros…> *(Rungstedgaard, Denmark, 15-18 April) organised by *- Peter Dayan* (UCL, UK) and *- Kerstin Preuschoff* (Univ. of Geneva and EPFL, Switzerland) If interested, we would welcome your application. Kindly note the end of early application on *20 January. * The short talk presenters and 15 stipend awardees will be selected following the regular registration deadline (of 14 Feb). For reference, detailed information (speakers, application overview etc.) is available on the Brain Conference page. <http://www.fens.org/Meetings/The-Brain-Conferences/The-Computational-Neuros…> Please also feel free to disseminate information about this Brain Conference among your network. With kind regards, The Brain Conferences team *FENS* - Federation of European Neuroscience Societies 11 Rue d’Egmont, 1000 - Brussels, Belgium T: +32 2 545 04 06 E: mihaela.vincze(a)fens.org http://www.fens.org

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MCAA Academy: Call for Mentors
by Jolivet, Renaud Nov. 8, 2017

Nov. 8, 2017

Dear list, Please find below a call for mentors for a new program of the Marie Curie Alumni Association (MCAA) affiliated with EU institutions. MCAA Academy is a new program to support the career development of its members. Mentoring is at the core of the program. Our advanced mentoring platform provides a continuous, full-spectrum learning experience, allowing mentees to focus on the skills that matter the most, when they matter the most. We are seeking outstanding professionals to mentor MCAA members using this platform. Mentors are expected to have achieved an advanced stage in their career and be willing to provide leadership and advice to our members. The program will run for 6 months and will require up to 1 hour face time per month. Mentors and mentees will be matched according to their skills, interests and career goals. Do you want to become a mentor? Complete the registration form at https://www.mariecuriealumni.eu/form/mcaa-academy-call-mentors. Want to know more about the Marie Curie Alumni Association, visit https://www.mariecuriealumni.eu/. Regards, Renaud Jolivet — Prof. Renaud Jolivet University of Geneva, Physics Section CERN, Experimental Physics Department +41 79 830 2129 (mobile) +41 22 379 6275 (UNIGE) +41 22 767 2470 (CERN) renaud.jolivet(a)unige.ch<mailto:renaud.jolivet@unige.ch> linkedin.com/in/renaud-jolivet-63b5534<http://linkedin.com/in/renaud-jolivet-63b5534> http://unige.ch/dpnc/en/groups/renaud-jolivet/home/ https://scholar.google.ch/citations?user=9Ozwv7EAAAAJ&hl=en

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EPSRC funded PhD in Computational/Mathematical Neuroscience (funded for UK students)
by James Rankin Nov. 7, 2017

Nov. 7, 2017

*3 EPSRC funded PhD positions in Computational & Mathematical Neuroscience* UK students (or students who have spent last 3 years in UK) fully funded (fees and stipend) EU students partially funded (fees but no stipend) International students not eligible Application deadline: 10th January 2018 The studentships will provide funding for a stipend which is currently £14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. * The neural circuitry mediating multisensory integration in Platynereis larvae* Supervisors: Dr James Rankin and Prof Gáspár Jékely (Living Systems Institute, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2901 * Cortical network models to understand differential input response properties during active and silent states* Supervisors: Dr James Rankin and Dr Mick Craig (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2903 * Determination of parameter dependencies across diverse populations of neuronal and excitable cells* Supervisors: Dr James Rankin and Dr Joel Tabak (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2932 Apply through links above or contact pgrenquiries(a)exeter.ac.uk or j.a.rankin(a)exeter.ac.uk directly with any questions. -- <comp-neuro(a)neuroinformatics.be> http://emps.exeter.ac.uk/mathematics/staff/jar226

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Postdoc Position Available - Human Intracranial Electrophysiology
by Woolnough, Oscar Nov. 7, 2017

Nov. 7, 2017

Postdoctoral Research Positions Available Postdoctoral research positions are available at the NeuroImaging and Electrophysiology Lab (www.tandonlab.org) in the Department of Neurosurgery at the University of Texas Medical School in Houston. One position is funded by a recently awarded BRAIN Initiative U01 grant. The project uses electrocorticographic (ECoG) recordings to evaluate psycho-linguistic models of reading and speech production to create network level representation of language. Collaborators on the project with whom the post-doc will work closely are Nathan Crone (Hopkins), Greg Hickok (UCI), Stanislas Dehaene (College de France), Xaq Pitkow (Baylor) and Josh Breier (UT Houston). A second position is internally funded and will use existing ECoG data, electrical cortical stimulation mapping data and lesional analysis to probe the relationship between electrophysiology and causality. Project Description: This is a project brings together multiple modalities - intracranial EEG (iEEG) recordings, fMRI, lesional analysis, brain mapping and computational neuroscience to better understand the uniquely human behaviors of reading and speech production. More details about the U01 grant are online at NIH Reporter; details about the lab are at www.tandonlab.org. The post-docs will benefit from a close interaction with several expert collaborators in the fields of reading, semantics, and speech production. Post-doc Responsibilities: The selected individuals are expected to be highly motivated, team players with a passion to study cognitive processes using direct recordings in humans. He or she will be responsible for 1) optimizing and refining paradigms for use in the project, 2) data collection in the epilepsy monitoring unit and in the MRI scanner, 3) ECoG, cortical mapping and lesional data analysis using analysis pipelines existent in the lab and via the development of innovative strategies, and 4) data presentation at conferences, manuscript and grant writing. Requirements: The selected individuals must have a Ph.D. in one or more of the following - neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis or functional imaging studies of reading or language production is highly desirable. Crucial is the ability to independently code in either or all of the following – MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individuals must possess high ethical and professional standards. The individuals must possess the ability to work effectively independently, yet collaborate effectively on projects with multiple investigators. Publication records and prior academic credentials may also factor into hiring decisions. If you are interested, please email nitin.tandon(a)uth.tmc.edu<mailto:nitin.tandon@uth.tmc.edu> or call (713) 500-5475.

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SfN 2017: Visit the Bernstein Network Computational Neuroscience at booth #3523
by Alexandra Stein Nov. 7, 2017

Nov. 7, 2017

Dear all, The Bernstein Network Computational Neuroscience [6] will be an exhibitor at the SfN Meeting 2017. Please find us at the NEUROSCIENCE IN GERMANY booth #3523. The Bernstein Network will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities Furthermore, the German Neuroinformatics Node (G-Node) [7] will present their data management services [8] for organizing, sharing, and publishing research data. Demo presentations times are: Monday, Tuesday, Wednesday (Nov 13, 14, 15) 3pm - 5pm, or by individual appointment (mail to info(a)g-node.org<mailto:info@g-node.org>). We are looking forward to welcoming you at booth #3523! Best regards Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Post-doctoral position in the area of Neuroscience and AI, Kyoto University, Japan
by Hideaki Shimazaki Nov. 7, 2017

Nov. 7, 2017

A postdoc opportunity in the area of Neuroscience and AI is available at Kyoto University in Japan The lab of ‘cooperative intelligence’ was launched in the Dept. of Intelligence Science and Technology at Kyoto University in Japan since April 2017. This is a part of collaborative research activities between the department and Honda Research Institute Japan Co. Ltd. toward realizing a better society with humans and machines living together. In order to achieve this goal, our group strives to understand theoretical principles of organisms’ perception and behavior in adapting to environment, and apply these principles to machines. We aim at strengthening computational and statistical approaches to neuroscience (See references below) and extend the knowledge to create intelligent machines. A postdoc position is available for this research area. Our lab is located in a historic building at the main campus of Kyoto University. Kyoto is one of the oldest cities in Japan with a full of historic monuments. The academic and culturally rich environment of Kyoto is suitable for conducting creative research activities. Place: Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University Period: Present - 2020/3/31 Deadline of application: 2017/11/30 Please check the following URL for further information: https://drive.google.com/file/d/0B0HpHsDtiVezSFYxMVNYekFXWGc/view?usp=shari… To apply, please send a CV, a statement of research interest (maximum 2 pages), and contact information of two references to h.shimazaki(a)i.kyoto-u.ac.jp. Feel free to send any informal questions regarding this post. Sincerely, Hideaki Shimazaki, PhD Program-specific Associate Professor at Kyoto University Senior Scientist at Honda Research Institute Japan Email: h.shimazaki(a)i.kyoto-u.ac.jp Lab webpage: http://ci.ist.i.kyoto-u.ac.jp/index.php?id=10 Personal webpage: http://www.neuralengine.org --------------------- Refs: Donner C, Obermeyer K, Shimazaki H. Approximate inference for time-varying interactions and macroscopic dynamics of neural populations. PLoS Computational Biology (2017) 13(1): e1005309 Shimazaki H. Neurons as an Information-theoretic Engine. arXiv:1512.07855 (2015) (to appear as 'Neural Engine Hypothesis' in Ed. Chen and Sarma 'Dynamic Brain', Springer.) Shimazaki H, Amari S, Brown EN, and Gruen S, State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. PLOS Computational Biology (2012) 8(3): e1002385

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COSYNE 2018: Abstract submission closes soon, Registration, Travel grants
by Tomas Hromadka Nov. 6, 2017

Nov. 6, 2017

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. *Abstract submission deadline: 20 November 2017* Online registration opens: 10 November 2017 Travel grant submission opens: 10 November 2017 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer four travel grant programs for New Attendees, Presenters, Mentors, and Undergraduates. For details on applying, see Cosyne.org -> Travel grants. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Position in computational neuroanatomy at the Allen Institute
by Nuno da Costa Nov. 6, 2017

Nov. 6, 2017

Dear comp-neuro list members, We are seeking a scientist to work on the analysis of large scale electron microscopy datasets and to investigate the relationship between structure and function of cortical networks. The scientist will be an essential member of the Neural Coding team studying the relationship between neural circuits and neural dynamics by combining in vivo functional imaging with ex vivo state of the art Electron Microscopy in the visual cortex of mice. If you are interested on know of someone that is interested, the application link is: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=639564&… Many thanks and kind regards Nuno Nuno Macarico da Costa Assistant Investigator T: 206.548.8437 [cid:image001.png@01D356E8.F5D70FF0] www.alleninstitute.org<http://www.alleninstitute.org/>

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postdoc in statistical neuroscience of human language
by xaq pitkow Nov. 6, 2017

Nov. 6, 2017

Postdoctoral research position in neuroscience of Human Language POSITION: We seek a highly motivated postdoctoral research fellow for a collaborative team project interpreting intracranial recordings from human patients during language tasks. The fellow will apply statistical models to this neural data, and will help develop a dynamic network model of language. TEAM: The fellow will collaborate primarily with Houston-based neurotheorist Xaq Pitkow (xaqlab.com) and neurosurgeon Nitin Tandon (tandonlab.org) and our labs, and will also interact with other team members including Nathan Crone, Stan Dehaene, and Greg Hickok. The fellow will be a member of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, expertise in statistical machine learning, and interest in language processing. APPLYING: Applicants should email a letter of research interests and CV to Xaq Pitkow (xaq(a)rice.edu) along with contact information for three references. We look forward to hearing from you!

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Call for Participation: IEEE Brain Data Bank Competition – Boston
by Sam Michalka Nov. 5, 2017

Nov. 5, 2017

*Call for Participation: IEEE Brain Data Bank Competition – Boston* The IEEE Brain Initiative is sponsoring several challenges and competitions in 2017 to explore various brain/neuro datasets. You are cordially invited to explore the data and register for this competition in Boston on December 9th 9:45 AM – 4 PM. For more information about the event and how to register, please visit https://brain.ieee.org/news/call-participation-ieee-brain- data-bank-challenge-boston/ *Location* Charles River Analytics 625 Mt. Auburn St. <https://maps.google.com/?q=625+Mt.+Auburn+St.+%0D+Cambridge,+MA,+USA&entry=…> Cambridge, MA, USA Organizers * Seth Elkin-Frankston, Charles River Analytics * Sam Michalka, Olin College of Engineering * Wasim Q. Malik, Harvard/MIT If you have questions, please contact bdb-boston(a)ieee.org *Purpose* The aim of the competition is to bring a diverse group of individuals of varying backgrounds and experience together to analyze, visualize, and evaluate complex datasets. Competitors will have access to a multi-modal dataset that will challenge individuals with varying backgrounds in data science, computer science, biology, or neuroscience. Results will be evaluated on analytic approach, visualization, and final presentation and interpretation. *Background* Datasets are provided by the University of Illinois at Urbana–Champaign and were collected as part of a broader intervention-based study designed to test the effects of efficacy of interventions designed to enhance fluid intelligence. This study was one of several funded as part of the Strengthening Human Adaptive Reasoning and Problem-solving (SHARP< https://www.iarpa.gov/index.php/research-programs/sharp>) program at the Intelligence Advanced Research Projects Activity (IARPA< https://www.iarpa.gov/>). This specific intervention involved 48 training sessions of an adaptive visuo-spatial and change detection task. We provide both behavioral measures and neuroimaging data at pre- and post-intervention time points. We also provide summary and session-level descriptions of the training data collected during the intervention. *Challenge Questions* The goal of this challenge is to encourage thoughtful investigation and discussion around enhancement of human intelligence and strategies for rigorous investigation of these topics. Entries will be judged in three categories: data analysis, data visualization, and presentation and interpretation of findings. Participants can investigate any question(s) about the data that they wish. The following guiding questions are provided as a jumping off point: * Can intervention training predict changes in pre- and post-intervention performance? * How do measures of brain connectivity and structure relate to performance in intervention training? * How do measures of brain connectivity and structure relate to pre- and post-intervention performance? * How well can we predict post-intervention performance? Beyond pre-intervention performance, what factors serve as the best predictors? * Do performance changes on the two training intervention tasks differ? How do they each relate to changes in pre- and post-intervention performance and/or imaging data? *Data* Data is hosted by the IEEE Dataport<https://ieee-dataport.org/competitions/ ieee-brain-data-bank-competition-boston-ma>. To access IEEE Dataport, you need to have an IEEE account. You do not need to be an IEEE member to create an IEEE account, and you can use your own email address to create an account and password. Click here to sign up for an IEEE account.< https://www.ieee.org/profile/public/createwebaccount/showRegister.html> The full dataset is 11.29GB. The dataset can be downloaded in full, or in more manageable chunks separated as: * Behavioral and analyzed fMRI/DTI data * Structural T1 images * Raw resting-state fMRI data (divided in 5 file groups) * Raw DTI data Please note that access from IEEE DataPort will be granted after you have completed an access request. *Judging* Judges will include experts from Industry, Government, and Academia. Entries will be judged in three categories: * Data analysis including well-justified, innovative, and rigorous methodologies * Data visualization including novel, highly informative, and aesthetically appealing visualization techniques * Presentation and interpretation of findings including clear, informative delivery and compelling investigation and interpretation *Awards* IEEE Brain will sponsor cash awards. More details will follow.

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from normal learning and recognition to Alzheimer's disease
by Stephen Grossberg Nov. 4, 2017

Nov. 4, 2017

Dear Colleagues, I am writing to call your attention to the following article because the neural model that it describes links normal category learning and recognition to clinical disorders such as autism and Alzheimer’s disease, topics that are currently of great interest and concern. The clinical links emerged after the neural dynamics of vigilance control during normal category learning was sufficiently understood. Grossberg, S. (2017). Acetylcholine neuromodulation in normal and abnormal learning and memory: Vigilance control in waking, sleep, autism, amnesia, and Alzheimer’s disease. Frontiers in Neural Circuits, November 2, 2017, https://doi.org/10.3389/fncir.2017.00082 <https://doi.org/10.3389/fncir.2017.00082> Best, Steve Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg <http://en.wikipedia.org/wiki/Stephen_Grossberg> http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en <http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en>https://youtu.be/9n5AnvFur7I <https://youtu.be/9n5AnvFur7I> Wang Professor of Cognitive and Neural Systems Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve <http://cns.bu.edu/~steve> steve(a)bu.edu <mailto:steve@bu.edu>

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Fw: two postdoctoral positions in the Canavier Lab
by Canavier, Carmen C. Nov. 3, 2017

Nov. 3, 2017

The contact information for these positions has been updated. Please contact Carmen Canavier ccanav(a)lsuhsc.edu with any questions. Two Postdoctoral Researcher positions are available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the basal ganglia for the first position and of the hippocampus for the second position. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. The first position is to study the dynamic diversity of midbrain dopamine neurons in close collaboration with electrophysiologist Jochen Roeper at Goethe University in Frankfurt, Germany. The successful candidate will construct morphologically and biophysically realistic models of distinct subpopulations of dopamine neurons to account for experimentally observed differences in their bursting and pacemaking dynamics. These simulations will require in some cases incorporation of stochastic channel models and second messenger cascades. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…. The second position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1… LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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Late Bird call for the AoN Brainhack Warsaw [17-19th November 2017]
by Daniel Borek Nov. 2, 2017

Nov. 2, 2017

*AoN Brainhack Warsaw 2017* *November 17-19, 2017* *University of Warsaw, Warsaw, Poland* *— The blitz Late Bird registration open until 7th November 2017 —* On the weekend of *17-19th November 2017*, the first edition of AoN Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on* neuroscience-related projects*. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community ( <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x> Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. Attendees of various backgrounds are welcome to join! At the moment we are opening the Late Bird registration for project participants, which closes on 7th November 2017. Some of the projects got fully booked already and since they have limitations in terms of the number of participants, these projects have been closed for this round of registration. Please look at the list of the currently available projects : - Functional connectivity research: can we find a common ground? <https://brainhackwarsaw.github.io/#connectivity> - Development of video game for studying joint action dynamics <https://brainhackwarsaw.github.io/#game> - Hypothesis-driven white matter tractography from T1-weighted MRI images <https://brainhackwarsaw.github.io/#whitematter> - One channel EEG sleep staging with open source and open hardware NeuroOn sleep mask <https://brainhackwarsaw.github.io/#neuroon> - Building and using the “FlyPi”: the 3D-printed Neurobiology Lab <https://brainhackwarsaw.github.io/#flypi> - Unfolding the Subcortex <https://brainhackwarsaw.github.io/#subcortex> *All the applications which we received after the end of Early Bird phase, will be automatically considered as the Late Bird applications.* The applications will be reviewed and the notification of acceptance will be sent to the applicants until 10th October2017. A registration fee of *30EUR* (or 120PLN) will be requested upon acceptance. The registration fee will be spent on the catering during the event. In order to register, please visit our website and learn more about AoN Brainhack Warsaw! https://brainhackwarsaw.github.io/ <https://brainhackwarsaw.github.io/> We are looking forward to see you in Warsaw! *The AoN Brainhack Warsaw 2017 team*

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Post-doctoral Position in Computational Neuroscience
by sujith vijayan Nov. 2, 2017

Nov. 2, 2017

*Post-doctoral Position in Computational* *Neuroscience* The Neural Dynamics and Neural Engineering Lab at Virginia Tech has an opening for a post-doctoral position in computational neuroscience. This position is for three years and is being funded by the Army Research Office (ARO). The research project will involve employing biophysically based computational models to examine the role of rhythmic activity in the expression of emotional memories during behavior and their consolidation during sleep. An additional aim is to employ the newly developed models to gain insight into the pathophysiology of post-traumatic stress disorder (PTSD). Our lab investigates neural dynamics during active behavior and during off-line states, such as sleep, using a combination of computational modeling, signal processing techniques, and both invasive and non-invasive techniques for recording neural activity. The basic science knowledge gathered from these investigations is leveraged to understand how memories are instantiated in the brain, to gain insight into how learning occurs during brain machine interface (BMI) tasks, to improve BMI algorithms, and to develop the framework for stimulation and pharmacological therapies for diseases, especially those marked by abnormal neural dynamics during sleep (e.g., post-traumatic sleep disorder (PTSD) and Parkinson’s disease). Please see the lab website (www.vijayan.neuroscience.vt.edu) for more details. Candidates should have a Ph.D. in applied mathematics, computer science, engineering, neuroscience, psychology, or a related field. Strong programming skills and/or prior experience in modeling would be an asset. Interested candidates should send a CV, a statement of research interests, and the contact information for three references to svijayan9(a)gmail.com. Arrangements can be made to meet with candidates at the Society for Neuroscience conference in Washington, D.C. Sujith

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Submission deadline extended for the 15th International Multi-Conference on Systems, Signals and Devices SSD' 2018
by Nabil Derbel Nov. 1, 2017

Nov. 1, 2017

This email is a reminder for submitting your proposition to SSD'18 Our apologies if you receive multiple copies of this message. Dear Colleagues, <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=622c400fe7&e=415348fdfa> 15th International Multi-Conference on <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=5b2423bda6&e=415348fdfa> Systems, Signals and Devices SSD' 2018 March 19-22, 2018, Hammamet-Tunisia The International Multi-Conference on Systems, Signals and Devices 2018 will be held on March 19-22, 2018 in Hammamet - Tunisia. The SSD′2018 conference is an international forum dedicated to researchers and specialists in different fields of electrical engineering. It brings together scientists and practitioners from research organizations, universities and companies in a multidisciplinary event, with the aim of strengthening links between researchers of different specialties. This event will provide the opportunity to share together the latest achievements in systems and control. Both theoretical and applied papers are welcomed for submission to this event. Accepted and presented papers during the conference will be published in IEEEXplore. Authors of best papers presented at SSD conference will be offered an opportunity to publish their works in followed international books and in the following international journals: *Advances in Systems, Signals and Devices (ISSN 2365-7507, published by De Gruyter) *International Journal of Digital Signals and Smart Systems (ISSN 2389-0311, Inderscience). We would invite you to submit your recent research via SSD′2018 website ( <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=ba2f080a77&e=415348fdfa> Submission), or directly through EDAS the manager of the conference <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=51f907b252&e=415348fdfa> http://edas.info/N24004. In order to give more success to our Conference, I will be so grateful if you diffuse the Call for Papers of SDD′2018 and the website URL ( <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=abb75c66e2&e=415348fdfa> Call_for_Papers_SDD 2018) to your colleagues and Email contacts. The important dates are: Deadline for paper submission: November 30th, 2017. Notification of Acceptance: January 15th, 2018. Final paper manuscripts: January 31th, 2018. To write your paper, please respect the IEEE templates for LATEX formats or Microsoft Word that may be found at: <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=85b8beb6c0&e=415348fdfa> http://www.ieee.org/ conferences_events/ <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=8fe8bcc4c7&e=415348fdfa> conferences/publishing/ templates.html Best Regards For the organization committee

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Nov. 1, 2017

Nov. 1, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 – 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning." Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) 30 September 2017 * Tutorial and workshop proposals (Decision) 7 October 2017 * Paper submission 1 December 2017 * Decision notification 8 January 2018 * Camera-ready submission 2 February 2018 * Conference 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong * Ari Santoso, Ministry of Education and Culture ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za’in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA

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Postdoctoral position on modelling and neural analysis of perceptual decision-making at IDIBAPS / UPF (Barcelona)
by Alexandre Hyafil Oct. 31, 2017

Oct. 31, 2017

A postdoctoral research position in computational neuroscience is available immediately to work with Jaime de la Rocha at IDIBAPS (Barcelona) and Alexandre Hyafil at the Universitat Pompeu Fabra (Barcelona). The postdoctoral fellow will be a vital member of the interdisciplinary research team led by Jaime de la Rocha that studies perception and cognition using combined theoretical and experimental approaches. More specifically, the fellow's work will be part of an ERC-funded project aiming to unravel the behavioural principles and the neural mechanisms underlying how recent experience shapes perception and guides decisions. The fellow will (1) characterize the behavioural influence of recent history onto perceptual choices in rats and humans performing acoustic discrimination tasks, (2) analyze population recordings from cortical neurons obtained from rats to uncover the traces of recent history decision biases and (3) build dynamical models of behaviour based on the population recordings using a variety of machine learning tools. Behavioural and neural data is currently being acquired by other researchers in the lab. The work will be co-supervised between Jaime de la Rocha, head of the Cortical Circuit Dynamics Group (http://neuro.fcrb.es/delaRochaLab/) and Alexandre Hyafil who is establishing his new laboratory in the nearby UPF, and has in the last years develop a set analysis techniques fitted for our data. Both groups are part of the vibrant computational neuroscience community of Barcelona, which promotes the interaction among groups by organizing multiple internal activities. Applicants should have a strong background in computational neuroscience or applied mathematics and have a keen interest in interdisciplinary approaches that integrate modeling and experimental research. Programming proficiency (Matlab and/or Python) is required. Experience in machine learning methods, advanced statistics as well as nonlinear dynamical systems will be valued. Ability to collaborate in a pluridisciplinary team is essential. Initial appointment for this position is for two years. The salary is competitive and negotiable depending on the candidate's experience. Review of applications will begin immediately and will continue until the position is filled. Applicants, please send a resume, names and contact of 3 references and a cover letter explaining your interest and research experience to jrochav(a)clinic.cat and alexandre.hyafil(a)gmail.com. Do no hesitate to make informal contact first.

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UW-Milwaukee: 2 Faculty Positions
by Adam S Greenberg Oct. 31, 2017

Oct. 31, 2017

We're hiring two tenure-track Assistant Profs in Milwaukee! You'd be part of our growing Psychology department at the University of Wisconsin-Milwaukee. Application review for both positions begins on 12/20/17. More info at the links below. Assistant Professor - Neuroscience - https://jobs.uwm.edu/postings/26876 Assistant Professor - Clinical Psychology - https://jobs.uwm.edu/postings/26877 Thanks, Adam ___________________________ Adam Greenberg, Ph.D. Assistant Professor University of Wisconsin-Milwaukee Department of Psychology P.O. Box 413 Milwaukee, WI 53201 email: agreenb(a)uwm.edu<mailto:agreenb@uwm.edu> Tel. (414) 229-1106 Fax (414) 229-5219 http://www.snaplaboratory.com/ Twitter: @SNAPLabUWM ___________________________

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Post-doctoral Research Associate in Computational Neuroimaging in Dementia
by Wong-Lin, Kongfatt Oct. 30, 2017

Oct. 30, 2017

A 3.5 year fixed term post-doctoral research associate in Computational Neuroimaging post is available at the Intelligent Systems Research Centre, University of Ulster. The post-doctoral candidate will be involved in the new EU funded Centre for Personalised Medicine, Clinical Decision Making & Patient Safety Project. More specifically, s/he will work as part of a multidisciplinary team focused on dementia within the Centre and perform analysis and modelling of brain imaging and related data in dementia. All applicant should hold a degree in Computational Neuroscience/Biology/Sciences, Computing, Engineering, Physical Sciences, Bioinformatics, Mathematics, Statistics, Neuroscience, Data Sciences, or a cognate area. The successful applicant will be based primarily at the Intelligent Systems Research Centre, which also houses the NI Functional Brain Mapping Facility, and will have opportunities to interact with other related research teams and clinicians. Interested applicants are welcomed to apply at: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY4NzUzOCZ2dF90… Potential applicants may contact me for further inquiry. Please note that the application deadline is on the 15th November. --------------------------- Dr. KongFatt Wong-Lin University of Ulster, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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PhD position in computational modeling of hippocampal neurons
by Peter Jedlicka Oct. 29, 2017

Oct. 29, 2017

A PhD position is available to work with Peter Jedlicka (Justus Liebig University Giessen and Goethe-University Frankfurt) in a project aimed at computational modeling of hippocampal neurons. The PhD student will be involved in the generation and implementation of computational models focusing on synaptic plasticity and excitability of hippocampal neurons. The student will be using computer models to reproduce/predict data from electrophysiology experiments and developing simulation tools contributing to 3R animal protection strategies. The successful candidate should have a background in physics, mathematics, engineering, computational neuroscience, computational biology or a related field. Experience in scientific programming is necessary. Experience with compartmental modeling is a plus. The project includes morphological modeling in close collaboration with Dr. Hermann Cuntz (FIAS and Ernst-Strüngmann Institute, Frankfurt). The successful candidate will also collaborate with experimental and computational labs in Giessen and Frankfurt. Please submit your application, CV and statement of research interests to: Prof. Dr. Peter Jedlicka (Peter.Jedlicka(a)informatik.med.uni-giessen.de) Computer-Based Modeling in the field of 3R Animal Protection, Faculty of Medicine, Justus-Liebig-University, Giessen The project is related to these recent publications: Platschek S, Cuntz H, Vuksic M, Deller T, Jedlicka P. A general homeostatic principle following lesion induced dendritic remodeling. Acta Neuropathol Commun., 4:19 2016 Jedlicka P, Benuskova L, Abraham WC. A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo. PLoS Comput Biol. 11(11):e1004588, 2015 Beining M, Jungenitz T, Radic T, Deller T, Cuntz H, Jedlicka P, Schwarzacher SW. Adult-born dentate granule cells show a critical period of dendritic reorganization and are distinct from developmentally born cells. Brain Struct Funct. 222:1427-1446, 2017 -- Prof. Dr. Peter Jedlicka Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus-Liebig-University Rudolf-Buchheim-Str. 6 D-35392 Giessen

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PhD position in Reinforcement Learning and Decision Making under Uncertainty
by Obermayer, Klaus, Prof. Dr. Oct. 25, 2017

Oct. 25, 2017

Neural Information Processing Group, Fakultät IV, Technische Universität Berlin & Bernstein Center for Computational Neuroscience 1 PhD Position Reinforcement Learning and Decision Making under Uncertainty The successful candidate is expected join collaborative projects at the interface between computational neuroscience and machine learning (research topics: reinforcement learning and decision making under uncertainty). The position is affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group (http://www.ni.tu-berlin.de/) Starting date: January 1st, 2018 Salary level: E-13 TV-L The position is for a period of maximally of five years. Candidates should hold a recent Master degree and should have very good knowledge in the computational neuroscience and machine learning fields. Application material (CV, abstract of the Master thesis, copies of certificates and two letters of reference) should be sent to: Prof. Dr. Klaus Obermayer MAR 5-6, Technische Universität Berlin, Marchstrasse 23, 10587 Berlin, Germany http://www.ni.tu-berlin.de/ klaus.obermayer(a)tu-berlin.de preferably by email. All applications received before November 11th 2017 will be given full consideration, but applications will be accepted until the position is filled. To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored.

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Cluster of faculty positions in Computational Neuroscience at UC Davis
by Mark Steven Goldman Oct. 25, 2017

Oct. 25, 2017

The University of California at Davis is making a major expansion in Computational Neuroscience and related fields, with 10+ tenure-track faculty position openings in the next 3 years through clusters of hires in Computational Neuroscience (3 positions), Motor Control & Neural Engineering (2 positions), Network Science (2 positions), and Data Science (4 positions). UC Davis is a top-10 Public Research University (US News & World Report) located in the college-town of Davis, CA, 1 hour from the San Francisco Bay Area and 20 minutes from the state capital of Sacramento. All cluster and position descriptions can be found at the following website http://comphip2017.ucdavis.edu/. The two Computational Neuroscience faculty positions available this year are broadly targeted as described formally below: Assistant Professor - Computational Neuroscience The University of California, Davis invites applications for up to two tenure-track Assistant Professor positions in computational neuroscience. Each position will focus on identifying general principles of brain function; and/or on modeling and methods at the molecular, cellular, circuit, and/or systems levels that connect to data obtained from different experimental techniques. This is part of a 3-year initiative to hire 10+ new faculty across multiple departments who focus on advanced computational theory and methods, including clusters of hires in computational neuroscience, network science, and data science (see http://comphip2017.ucdavis.edu) QUALIFICATIONS: Ph.D. (or equivalent degree) in mathematics, statistics, computer science, engineering, physics, psychology, neuroscience, or related field; a demonstrated record of teaching, or evidence of the potential to teach undergraduate and graduate courses in the academic department or departments; a record of attracting, or the potential to attract, extramural funding; and excellent potential for interactions/collaborations. APPLICATION PROCESS: The position will remain open until filled. To ensure full consideration, completed applications should be received by November 20, 2017. Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Qualified applicants should submit a cover letter, curriculum vitae, statements of research and teaching interests, representative reprints and/or preprints, a statement of contributions to diversity, and at least three letters of recommendation electronically. The cover letter should indicate which of Neurobiology, Physiology, and Behavior; Computer Science; Statistics; Mathematics; or Physics would be the most appropriate academic departments. For more information, contact Prof. Mark Goldman (msgoldman(a)ucdavis.edu<mailto:msgoldman@ucdavis.edu>). For technical questions please contact Susan Sainz (swsainz(a)ucdavis.edu) Apply at UC Recruit: https://recruit.ucdavis.edu/apply/JPF01722

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NICE 2018 - call for abstracts is open
by Aimone, James Bradley Oct. 24, 2017

Oct. 24, 2017

Dear colleagues, The abstract call for NICE 2018 is now open: https://easychair.org/cfp/NICE_2018 Abstracts due: November 15, 2017 The 2018 Neuro-Inspired Computing Elements (NICE) Workshop is the 6th annual meeting of researchers in the neural computing field. Like previous workshops, NICE 2018 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology. NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry. We are asking for extended abstracts of two pages, with emphasis on novel results in brain-inspired neural algorithms for machine learning, neural computing architectures and hardware, theoretical neuroscience, and applications of neural computing. Event dates are Feb. 27-Mar.1, 2018, and this year the workshop is being hosted by Intel, at their Hillsboro, Oregon site. Registration and accommodation details will be available on the event website (niceworkshop.org<http://niceworkshop.org>) by end of October. Looking forward to seeing everyone in Hillsboro, Feb.27th. Brad Aimone

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3-year, ERC-funded, postdoctoral position at University of Birmingham, UK.
by Jennifer Cook Oct. 23, 2017

Oct. 23, 2017

The School of Psychology at the University of Birmingham, UK, invites applications for a 3-year position as a post-doctoral researcher. The successful candidate will work together with Dr. Jennifer Cook on a European Research Council (ERC)-funded project on the relationship between social cognition, motor control and dopamine system function (ERC-StG-Brain2Bee). The starting date for the position is 13th January 2018 (although there is some flexibility around start date). The closing date for applications is 10th November 2017. See here for details: http://www.jobs.ac.uk/job/BFB695/research-fellow/ *Project description:* Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s disease have been associated with dopamine system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. This project will use psychopharmacology and behavioural training in typical individuals to understand the relationship between dopamine system function, and social and motor ability. Insights from these initial studies will be used in studies of patients to better understand the relationship between DA system dysfunction and the social and motor symptoms of Parkinson’s disease. Results from this package of work will help us to move closer to a cross-disorder understanding of factors underlying variation in social and motor abilities. *The Candidate:* The successful candidate will be responsible for contributing to the development of a social and motor task battery; leading a study of social and motor function in patients with Parkinson’s Disease; and working with a team of researchers to run a psychopharmacology study to assess the effects of a dopaminergic drug on social and motor outcomes in 100 participants. Candidates should have substantial experience of behavioural experimental methods and ideally experience of working with a clinical population, and running and analysing psychopharmacology studies. This post will require analysing data associated with this project, preparing manuscripts for publication, presenting results at national and international conferences and the possible supervision of research assistants and students. Please note this post is aligned to external funding and therefore the salary on offer is up to a maximum of £32,548. -- Dr Jennifer Cook Birmingham Fellow School of Psychology University of Birmingham Tel: 0121 414 7218 <goog_589294029> www.jencooklab.com http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…

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EVIC 2017 - XIII IEEE Latin-American Summer School on Computational Intelligence
by Rodrigo Salas Oct. 23, 2017

Oct. 23, 2017

EVIC 2017 - XIII IEEE Latin-American Summer School on Computational Intelligence We apologize if you receive multiple copies of this message. Please distribute to anyone who may be interested. ================================================================ XIII IEEE Latin-American Summer School on Computational Intelligence (EVIC) December 13-15, 2017 Universidad de Valparaíso, Valparaíso, Chile Blanco 1911, CIAE Building, 4th Floor, Valparaíso, Chile. www.evic.cl Poster Competition - 1st call for abstract deadline: October 31th, 2017 (extended) 2nd call for abstract deadline: November 13th, 2017 http://www.evic.cl ================================================================ The XIII Summer School of Computational Intelligence will take place at Universidad de Valparaíso, Valparaíso, Chile. It is jointly organized by the Chilean Chapter of the IEEE Computational Intelligence Society and the School of Biomedical Engineering, Universidad de Valparaiso. The aim of the Summer School is to promote Computational Intelligence, bringing together areas such as Intelligent Control Systems, Robotics, Computer Vision, Computational Neuroscience, Science Data, Big Data, among others, in order to disseminate the basic knowledge and the latest research advances to students, professors and professionals from Chile and other Latin American countries. During the Summer School, a Student Poster Competition on Computational Intelligence will be held. ==== Confirmed speakers ==== Chin-Teng Lin, Faculty of Engineering & IT, School of Software University of Technology Sydney, Australia Paulo Lisboa, Department of Applied Mathematics, John Moores Liverpool University, UK Pablo Estevez, Department of Electrical Engineering, Universidad de Chile Wael El-Deredy, Biomedical Engineering School, Universidad de Valparaíso Pablo Zegers, Artificial Intelligence Entrepreneur Luis Aburto, Physical Science and Mathematics Faculty , Universidad de Chile Gonzalo Acuña, Department of Informatics, Universidad de Santiago de Chile Mauricio Araya, Department of Informatics, Universidad Técnica Federico Santa María Felipe Bello, Department of Informatics, Universidad de Santiago de Chile Sebastián Maldonado, Engineering and Applied Science Faculty, Universidad de los Andes Orietta Nicolis, Department of Statistics, Universidad de Valparaíso Bárbara Poblete, Computer Science Department, Universidad de Chile Carolina Saavedra, Biomedical Engineering School, Universidad de Valparaíso Miguel Solis, Engineering Faculty, Universidad Andrés Bello Felipe Tobar, Mathematical Modeling Center, Universidad de Chile Richard Weber, Physical Science and Mathematics Faculty, Universidad de Chile Alejandro Weinstein, Biomedical Engineering School, Universidad de Valparaíso ==== Organizing committee ==== Rodrigo Salas, Universidad de Valparaíso Claudio Held, Universidad de Chile Carolina Saavedra, Universidad de Valparaíso Doris Saez, Universidad de Chile Pablo Zegers, Emprendedor en Inteligencia Artificial Steren Chabert, Universidad de Valparaíso Alejandro Veloz, Universidad de Valparaíso ==== Important dates ==== Application for registration/travel scholarships (Chilean students) November 17th 1st call for extended abstract submission deadline: October 31th, 2017 (extended) 2nd call for extended abstract submission deadline: November 13th, 2017 ===== Paper submission ===== Authors should submit their articles in English as PDF files following the IEEE style guidelines for conference proceedings (limited up to 3 pages (US letter size)). The submission must include the following sections: Introduction, methods, results, discussion and conclusions. Affiliation should include the name of the student participating in the competition, and the name of the co-authors Submit your work in PDF format in the following link https://easychair.org/conferences/?conf=evic2017 Posters will be selected based on the quality of the extended abstract. The decision notification will be send by electronic mail. Posters should be posted according to the schedule which will be noted in the program. A committee of three experts will evaluate the posters and assign the first, second and third places. The awards will be announced on December 14th, 2017. Contact: Rodrigo Salas F. <rodrigo.salas(a)uv.cl>

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Call for submissions: 2nd HBP Student Conference
by HBP Education Oct. 23, 2017

Oct. 23, 2017

Dear all, Below please find the call for submissions for the 2nd HBP Student Conference in Ljubljana: Call for submissions: 2nd HBP Student Conference Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science 14-16 February 2018, Ljubljana, Slovenia Extended abstract submission deadline: 25 October 2017 The 2nd HBP Student Conference provides an open forum for the exchange of new ideas among young researchers working across various aspects of neuroscience, brain medicine and computer science relevant to the Human Brain Project. The scope of the conference offers a plethora of opportunities for extensive scientific discussions, both intra- and interdisciplinary, among peers and faculty, through a variety of discussion sessions, lectures and social events. We invite original high-quality submissions describing innovative research in all disciplines addressing the HBP research programme. Contributions emphasising theoretical and empirical foundations as well as novel approaches to specific problems with respect to the subprojects of the HBP are welcome. Finally, we particularly encourage submissions with a potential to inspire the research community by introducing new and relevant problems, concepts and ideas, even if the work is at an early stage of development. Participation in the 2nd HBP Student Conference is open to advanced master students, PhD students and young researchers, regardless of whether they are affiliated with the HBP or not and regardless of whether they make a submission to the scientific programme or not. Participation of young female investigators is highly encouraged. Child care is offered during the conference. Please use the registration form to indicate if you need this service. Seven travel grants will be available upon request for European students only (country of residence). Travel grant requests have to be sent to education(a)humanbrainproject.eu prior to the abstract submission deadline. For further information and abstract submission visit: https://education.humanbrainproject.eu/web/2nd-hbp-student-conference <https://humanbrainproject.us11.list-manage.com/track/click?u=2e28686501b59b…> We are looking forward to receiving your abstracts! Best regards, The HBP Education Programme Office Theresa Rass HBP Education Programme Project Assistant Medical University Innsbruck (MUI) Müllerstraße 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: education(a)humanbrainproject.eu <mailto:education@humanbrainproject.eu>

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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes Oct. 23, 2017

Oct. 23, 2017

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Fundamental Limits of Forced Asynchronous Spiking with Integrate and Fire Dynamics Anirban Nandi, Heinz Schättler, Jason T. Ritt and ShiNung Ching https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Symmetries Constrain Dynamics in a Family of Balanced Neural Networks Andrea K. Barreiro, J. Nathan Kutz and Eli Shlizerman https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… An Analysis of Waves Underlying Grid Cell Firing in the Medial Enthorinal Cortex Mayte Bonilla-Quintana, Kyle C. A. Wedgwood, Reuben D. O’Dea and Stephen Coombes https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… A Stochastic Version of the Jansen and Rit Neural Mass Model: Analysis and Numerics Markus Ableidinger, Evelyn Buckwar and Harald Hinterleitner https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Fast–Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes Maria Luisa Saggio, Andreas Spiegler, Christophe Bernard and Viktor K. Jirsa https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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2 tenure-track positions in Computational Neuroscience at Western University
by Jorn Diedrichsen Oct. 21, 2017

Oct. 21, 2017

Two Probationary (Tenure-Track) Faculty Positions in Computational Neuroscience The Faculty of Science at Western University is inviting applications for two probationary (tenure-track) faculty positions at the rank of Assistant or Associate Professor in Computational Neuroscience. These unique appointments are initially funded through BrainsCAN (brainscan.uwo.ca<http://www.uwo.ca/brainscan/index.html>), a $66M initiative funded by the Canada First Research Excellence Fund at Western University, and allow a research-intensive focus for the first 5 years of the appointment. Successful candidates will be provided a yearly research budget for this period, and will be eligible for further internal funding including research accelerator awards, and support for postdoctoral research fellows and PhD students. Applicants must have a Ph.D. or equivalent degree and be recognized internationally for excellence in computational neuroscience research. The ideal candidates will develop and apply computational and statistical data analysis methods to the modeling of neurophysiological, behavioral, or neuroimaging data in order to significantly contribute to the advancement of neuroscience. Candidates with either theoretical or empirical research programs are encouraged to apply. The position will commence on July 1, 2018 or as negotiated. The successful candidates will become members of the Brain and Mind Institute (www.uwo.ca/bmi<http://www.uwo.ca/bmi>) and will work in the highly collaborative environment in neuroscience, a key area of research strength at Western University. The BMI has 30 Principal Investigators working in the areas of behavioral, cognitive and clinical neuroscience, nearly 200 trainees, and an interdisciplinary neuroscience graduate program. Facilities at Western include a full range of ultra-high field, research-only, MRI scanners (3T, 7T, 9.4T) and state of-the-art laboratories for cognitive, behavioral, and neurophysiological testing in humans, nonhuman primates and rodents. The successful candidates will be appointed into one, or more, of either the Department of Statistical & Actuarial Sciences (www.uwo.ca/stats<http://www.uwo.ca/stats>), the Department for Applied Mathematics (www.uwo.ca/apmaths<http://www.uwo.ca/apmaths>), and the Department of Computer Science (www.csd.uwo.ca<http://www.csd.uwo.ca/>) as appropriate, in the Faculty of Science at Western (www.uwo.ca/sci<http://www.uwo.ca/sci>). Applications will be accepted until the positions are filled. Review of applications will begin on December 1st, 2017. For full details, please visit: http://www.uwo.ca/brainscan/work_with_us/vacancies/computational_neuroscien… Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Brain Modeling ToolKit
by Anton Arkhipov Oct. 20, 2017

Oct. 20, 2017

Dear Colleague, We would like to announce the alpha release of the Brain Modeling ToolKit (BMTK), developed at the Allen Institute for Brain Science: https://github.com/AllenInstitute/bmtk. BMTK is a python-based software package for building and simulating models of neuronal circuits. It supports simulations at four levels of resolution (biophysically detailed, point-neuron, population statistics, and machine intelligence) by providing wrappers to tools such as NEURON, NEST, diPDE, and TensorFlow. This is an alpha release and we are working on creating more extensive documentation and tutorials. Meanwhile, we are very much looking forward to hearing feedback on the existing functionality. If you could try out the package and let us know about your experience, that would be very much appreciated! At this early stage, we are happy to work closely with you to help you get started on using the BMTK. Please email the lead developer of BMTK, Kael Dai, at kaeld(a)alleninstitute.org<mailto:kaeld@alleninstitute.org>, or to me, at antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>, with any questions. A good place to start is the user guide: https://alleninstitute.github.io/bmtk We are looking forward to your feedback! Many thanks, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 [cid:image001.png@01D349BD.C61A1100] www.alleninstitute.org<http://www.alleninstitute.org/>

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final schedule for workshop on high performance computing in neuroscience
by Ted Carnevale Oct. 19, 2017

Oct. 19, 2017

The final schedule for the workshop on high performance computing in neuroscience, which will be held November 11 from 8:30 AM to 12:30 PM at the 2017 meeting of the Society for Neuroscience, is now available at http://www.nsgportal.org/SFN2017_workshop.html --Ted

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COSYNE 2018: Abstract submission is now open, Call for workshop proposals
by Tomas Hromadka Oct. 18, 2017

Oct. 18, 2017

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal deadline: 10 November 2017 Abstract submission deadline: 20 November 2017 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Breckenridge, CO, a ski resort located 100 miles (approximately two hours) from the Denver International Airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Workshop proposal deadline: 10 November 2017 Format: plain text only, please no attachments, email to workshops [at] cosyne.org (Laura Busse, Ralf Haefner) Proposals should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). - A list of confirmed speakers. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expcted to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE WORKSHOP QUESTIONS workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Post-doc position in Human Intracranial Physiology and Human Memory
by Zaghloul, Kareem (NIH/NINDS) [E] Oct. 18, 2017

Oct. 18, 2017

Hi, I would like to post the following advertisement for an available post-doc position to the comp-neuro listserve. If you could help me with that, I would appreciate it. Please let me know if you need any more information. Thank you for your help, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electro corticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants who will be attending either the Society for Neuroscience (Washington, DC), or American Epilepsy Society (Washington, DC) conferences can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation.

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Neuroscience Graduate Group at the University of Pennsylvania
by Gold, Joshua Oct. 18, 2017

Oct. 18, 2017

The Neuroscience Graduate Group (NGG; http://www.med.upenn.edu/ngg/) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2018. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and interdisciplinary community of scholars in this field, including: Geoff Aguirre, Neurology Vijay Balasubramanian, Physics Danielle S Bassett, Bioengineering David H Brainard, Psychology Maja Bucan, Genetics Johannes Burge, Psychology Alice S Chen-Plotkin, Neurology Brian Chow, Bioengineering Yale E Cohen, Otorhinolaryngology Diego Contreras, Neuroscience Long Ding, Neuroscience Steven Eliades, Otorhinolaryngology Russell Epstein, Psychology Christopher M Fang-Yen, Bioengineering Michael Freed, Neuroscience Maria Neimark Geffen, Otorhinolaryngology Joshua I Gold, Neuroscience Joseph W Kable, Psychology Michael J Kahana, Psychology Elani Katifori, Physics Max Kelz, Anesthesiology Konrad Kording, Neuroscience and Bioengineering Daniel Lee, Electrical and Systems Engineering Brian Litt, Neurology and Bioengineering Minghong Ma, Neuroscience Joel D Mainland, Neuroscience Philip Nelson, Physics Michael Platt, Neuroscience, Marketing, and Psychology Nicole C Rust, Psychology Marc Schmidt, Biology Robert G Smith, Neuroscience Alan A Stocker, Psychology Sharon Thompson-Schill, Psychology Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups. Penn also is home to the Computational Neuroscience Initiative (https://cni.upenn.edu) which oversees many of our academic and research programs related to computational neuroscience. The application deadline for the NGG is December 1, 2017. For more details please see our website: http://www.med.upenn.edu/ngg/app_info.shtml ----- Joshua Gold Chair, Neuroscience Graduate Group University of Pennsylvania Philadelphia, PA 19104-6074 jigold(a)pennmedicine.upenn.edu<mailto:jigold@mail.med.upenn.edu>

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PhD studentship in the Humphries lab
by Mark Humphries Oct. 18, 2017

Oct. 18, 2017

A potentially fully-funded UK/EU PhD studentship project is available in the Humphries lab at the University of Manchester, UK A wide range of neurological disorders, including Parkinson's disease, Huntington's disease and Tourette's syndrome have been linked to the aberrant activity of output neurons in the massive, subcortical striatum. It is unknown how such aberrant activity arises from the changes to the brain known to occur in these disorders. This project will test the hypothesis that the network of fast-spiking interneurons within the striatum are a common cause of this aberrant activity. Please see here for full details: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=84600&LID=1020 And here for how to apply, deadline Friday November 17th 2017: https://www.bmh.manchester.ac.uk/study/research/mrc-dtp/ Any questions please contact Dr Mark Humphries directly (mark.humphries(a)manchester.ac.uk<mailto:mark.humphries@manchester.ac.uk>) _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries <https://twitter.com/markdhumphries> Public blog: https://medium.com/the-spike

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3 postdoc positions for a 3 years interdisciplinary project on Human vs Machine Intelligence
by GOMEZ GUTIERREZ, Emilia Oct. 18, 2017

Oct. 18, 2017

Dear comp-neuro list, We are starting an interdisciplinary research project related to the scientific understanding of artificial intelligence and its influence on human cognition and behaviour, and we are currently building a team of postdocs. I thought the topic might be interesting for some researchers in this mailing list. Application deadline is in one week, October 26th. I copy a short summary below, but please contact me for further information. Best regards, emilia ------------------------------------------------------------------------- Emilia Gómez Associate Professor, Music Technology Group - DTIC Universitat Pompeu Fabra, Barcelona http://emiliagomez.com ----- The Joint Research Centre (JRC) <https://ec.europa.eu/jrc/>is the European Commission's science and knowledge service which employs scientists to carry out research in order to provide independent scientific advice and support to EU policy. The JRC Centre for Advanced Studies <https://ec.europa.eu/jrc/en/research/centre-advanced-studies> (JRC-CAS) was established to enhance the JRC’s capabilities to meet emerging challenges at the science-policy interface. JRC-CAS is now launching HUMAINT <https://ec.europa.eu/jrc/en/science-update/humaint-project>, a three year interdisciplinary project to understand the potential impact of machine learning in human behaviour and societal welfare. It will be carried out at JRC centre in Seville, Spain. There will be close collaboration with the Music Technology Group <http://mtg.upf.edu/> and the Department of Information and Communication Technologies of Universitat Pompeu Fabra <https://www.upf.edu/web/etic> in Barcelona, Spain. The project will (1) provide a scientific understanding of machine vs human intelligence; (2) analyze the influence of machine learning algorithms into human behaviour (3) investigate to what extent these findings should influence the European regulatory framework. In the context of this project, *three postdoc positions* in the area of machine learning and human behaviour are open for appointment from January 1, 2018, at the Joint Research Centre (European Commission) in Seville, Spain. The fully funded positions are available for a period of three years. Particular areas of interests: - Fairness, accountability, transparency, explainability of machine learning methods. - Social, ethical and economic aspects of artificial intelligence. - Cognitive and computational neuroscience, behavioural studies. - Human-computer interaction and human-centered machine learning. - Digital and behavioural economy. - Application domains: music and arts, social networks, health, transport, energy. We are looking for highly motivated, independent, and outstanding postdoc candidates with a strong background in machine learning and/or human behaviour. An excellent research track record, ability to communicate research results and involvement in community initiatives is expected. Candidates should have EU/EEA citizenship. The JRC <https://ec.europa.eu/jrc/> offers an enriching multi-cultural and multi-lingual work environment with lifelong learning and professional development opportunities, and close links to top research organisations and international bodies around the world. Postdoctoral researchers receive a competitive salary and excellent working conditions, and will define their own research agenda inline with the project goals. JRC-Seville is located in Cartuja 93 <https://www.google.es/maps/place/Joint+Research+Centre+(JRC-Seville)/@37.39…>scientific and technological park. Seville <https://www.youtube.com/watch?v=mZXdXzntmok> is the fourth-largest city in Spain. With more than 30 centuries of history (gateway of America for two centuries, main actor in the first circumnavigation of the Earth), three UNESCO World Heritage Sites, and privileged climate, it combines its historical and touristic character with a consolidated economic development and innovation potential. We are also open for *collaborations with external researchers*, as one of our goals is to build an expert network in the topics. You may obtain *further information* about the scientific aspects of the positions from Dr. Emilia Gómez (project scientific leader: emilia.gomez(a)upf.edu, <emilia.gomez(a)upf.edu> using the subject [humaint]) and at the following web pages http://recruitment.jrc.e c.europa.eu/?site=SVQ&type=AX&category=FGIV <http://recruitment.jrc.ec.europa.eu/?site=SVQ&type=AX&category=FGIV> and https://ec.europa.eu/jrc/en/working-with-us/jobs <https://ec.europa.eu/jrc/en/working-with-us/jobs>. *YOU CAN APPLY HERE <http://recruitment.jrc.ec.europa.eu/?site=SVQ&type=AX&category=FGIV> BY OCTOBER 26, 2017 * -- ------------------------------------------------------------------------- Emilia Gómez Associate Professor, Serra-Húnter & ICREA Academia Fellow Music Technology Group - DTIC Universitat Pompeu Fabra, Barcelona http://emiliagomez.wordpress.com

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CfP 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2018)
by Barakova, E.I. Oct. 18, 2017

Oct. 18, 2017

[We apologize if you receive multiple copies of this message] ========================================================================== *** Call for Papers *** 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2018) Jiangsu Conference Center, Nanjing, Sheraton, Tai'an CHINA August 27th - September 1st 2018 www.ro-man2018.org ========================================================================== ========================================================================== The 27th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2018, will be held in Nanjing and Tai'an, China, on August 27 to September 1st. This leading forum on Robot and Human Interactive Communication covers the state-of-the-art innovative results and the latest developments in a wide range of topics. This year's theme is "Social Intelligence in Interactive Robots". The conference will look at the impact of friendly, open, ecological and useful cognitive robots in practical & real life applications in healthcare, industry, edutainment, and more, in the context of coexistence and cooperation. The main conference will host presentations of original contributions including new methods, theories and applications of Human-Robot Interactive Communication Systems. Multi-disciplinary approaches and practical solutions are highly encouraged. The workshops, tutorials, and industrial sessions will provide an opportunity to participants from academia and industry to focus on specific and prospective topics. Three keynote speakers will give plenary talks about emerging technologies and methods in human-robot interactive systems and their future. Regular papers. Prospective authors are invited to submit high-quality papers reporting original results under the broad theme socially intelligent robots. Tutorials and workshops will provide half-day or full-day training or discussions in applied research and applications. Proposals for tutorials and workshops should include: objectives, intended audience, list of prospective speakers, and topic list. Special sessions. Prospective special session organizers are invited to submit a proposal to the special session chair. Papers submitted to special sessions will undergo the same review process as the regular papers and will be included in the conference proceedings. Poster Sessions. Prospective authors are invited to submit their recent applied research, innovative applications and work-in-progress to be broadly discussed in designated interactive sessions. Video/ Demos/ Exhibit sessions. The conference offers an excellent opportunity for the industry to showcase their products and services. Startups and labs are also invited to present their prototypes and concepts. Industrial sessions. Participants are invited to share their proof-of-concepts, advanced prototypes, and industrial applications to scientific and industrial audience. Important Dates: Special Sessions, Workshops & Tutorials: Submission Deadline: January 19, 2018 Notification of Acceptance:February 2, 2018 Regular Papers, Special Session Papers: Submission Deadline: March 19, 2018 Notification of Acceptance: May 15, 2018 Camera-ready Deadline: June 5, 2018 Interactive Poster Sessions, Video Sessions, and Demonstration Sessions: Submission Deadline: May 22, 2018 Notification of Acceptance: June 5, 2018 Honorary General Chair Kazuhiko Kawamura, USA General Chair Ryad Chellali, China/ Italy Financial Co-Chairs Honghai Liu, China Lyn Lee, China Program Co-Chairs Fulvio Mastrogiovanni, Italy Amit Kumar Pandey, France Haoping Wang, China Tutorial & Workshop Co-Chairs Juan Rojas, China Silvia Rossi, Italy Exhibition Industry Co-Chairs Pierre Blazevic, France Yi Yang, China Huan Tan, USA Awards Co-Chairs Mary Anne Williams, Australia Marwala Tshilidzi, South Africa Publication Co-Chairs John-John Cabibihan, Qatar Erdem Erdemir, USA Publicity Co-Chairs Emilia Barakova, The Netherlands Yudong Zhang, China Secretariat Meiling Kate Shen, China Contact: info(a)ro-man2018.org Emilia I. Barakova, Ph.D., Faculty of Industrial Design, Eindhoven University of Technology Laplace 32, 5612 AZ Eindhoven The Netherlands, Head ID Social Robotics Lab, Editor Personal and Ubiquitous Computing, Associate Editor Journal of Integrative Neuroscience, http://www.idemployee.id.tue.nl/e.i.barakova/

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Two Post-doc/PhD positions in computational modeling of epilepsy
by Jochen Triesch Oct. 18, 2017

Oct. 18, 2017

Two Post-doc/PhD positions are available in the context of Frankfurt's new Center for Personalized Translational Epilepsy Research (CePTER). The project focuses on better understanding circuit changes and neuroimmune interactions during the development of epilepsy and is jointly lead by Profs. Peter Jedlicka and Jochen Triesch. The positions are based at the Frankfurt Institute for Advanced Studies (https://fias.uni-frankfurt.de/en/) Frankfurt has a vibrant Neuroscience community and the successful candidates will work closely together with experimental labs. Ideal candidates will have obtained a PhD/Master Degree in Computational Neuroscience or closely related field and have a strong interest in applying their knowledge to problems of medical relevance. Prior experience with modeling spiking neural networks or compartmental modeling is highly desirable. Experience in modeling epilepsy, neural plasticity and neuro-immune interactions is a plus. Earliest starting date is in January 2018. Review of applications will continue until the positions have been filled. Applications (single pdf file including CV, list of publications, statement of research interests and names and email addresses of three references) should be sent to jedlicka(a)em.uni-frankfurt.de and triesch(a)fias.uni-frankfurt.de . Peter Jedlicka and Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Postdoctoral position in memory and sleep at U-Michigan
by Kamran Diba Oct. 17, 2017

Oct. 17, 2017

The Diba Lab for Neural Circuits and Memory <https://sites.lsa.umich.edu/diba-lab/> at the University of Michigan is currently looking for a qualified postdoctoral scholar. We are focused on understanding mechanisms supporting cross-regional circuit dynamics in waking and sleep and their respective roles during memory formation. We use large-scale in-vivo electrophysiology, optical imaging, circuit manipulations (including optogenetics), network modeling (in collaboration with Sen Cheng <http://www.rd.ruhr-uni-bochum.de/neuro/wiss/pi/cheng.html.en>’s Lab at Ruhr University-Bochum) and extensive data analyses to investigate these questions in hippocampal and cortical networks. The preferred candidate would have experience in one or more of these areas: unit/spectral analysis, computational network modeling, electrophysiology, imaging, neuroanatomy. Postdocs will provide scientific input in the project and will be trained with the goal of becoming independent investigators. Please contact Kamran Diba directly mailto:kdiba@umich.edu <kdiba(a)umich.edu> and include your CV and description of your research interests and experience. Salaries will follow the National Research Service Awards (NRSA) postdoctoral payscale <https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html>.

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PhD position in computational & experimental approaches to naturalistic behavior
by Constantin Rothkopf Oct. 17, 2017

Oct. 17, 2017

Applications are invited for a PhD student position in the lab of Constantin Rothkopf at the Technical University Darmstadt. The lab is part of the newly established Centre for Cognitive Science and the Institute of Psychology. Our work focuses on computational and experimental approaches to further the understanding of naturalistic, sequential visuomotor behavior in humans, including experimental approaches to investigate cue integration in complex natural tasks (e.g., motor control, locomotion, navigation and spatial orientation). Current topics include: - statistics of visuomotor behavior in naturalistic tasks, - image statistics during visuomotor behavior in-the-wild, - optimal control models of visuomotor behavior, - inverse-optimal-control in human visuomotor behavior, - eye-movements in naturalistic tasks, - cue integration for navigation (optic flow and locomotion, locomotion and cognitive maps). For further information please visit our websites: http://www.pip.tu-darmstadt.de/ http://www.fias.uni-frankfurt.de/~rothkopf/ Applicants need to have a Master's degree in cognitive science, computer science, psychology, or related fields. In addition to a strong general interest in cognitive science, computational science, experimental psychology, and interdisciplinary research, the ideal candidate has a background in eye-tracking or virtual reality technology. Experience with programming (e.g. Python, Matlab, C++, Unity) is inevitable. Analytical aptitude as well as awareness of experimental literature is expected. We offer a supportive and multidisciplinary environment driven by scientific curiosity, lab facilities for measuring extended behavior (e.g. visuomotor, motor, locomotive, spatial) in-the-wild and in VR, as well as international collaborations. Informal inquiries may be made to Constantin Rothkopf at constantin.rothkopf(a)cogsci.tu-darmstadt.de

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Postdoctoral positions in theoretical neuroscience
by Jonathan Touboul Oct. 17, 2017

Oct. 17, 2017

Up to two postdoctoral positions are available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net <http://mathematical-neuroscience.net/>). Research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. Techniques include numerical simulations, dynamical systems (with delays, jumps and/or multiple timescales), probabilities and statistical physics. All projects will involve heavy collaboration with experimental groups in Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ <http://www.brandeis.edu/departments/mathematics/>) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ <http://www.bio.brandeis.edu/>). Opportunities to teach in the math department could be available and are encouraged! Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. Applications from under-represented groups are strongly encouraged. Candidates should send their CV, a cover letter indicating their research interests and professional goals, and names and contact information of two references to jtouboul(a)brandeis.edu <mailto:jtouboul@brandeis.edu> . Best wishes, Jon

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Two postdoc positions Canavier lab
by Canavier, Carmen C. Oct. 16, 2017

Oct. 16, 2017

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: SOM-recruits(a)lsuhsc.edu; reference 00049561. Applications should be received before Nov 15 to ensure consideration for the position. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans. A second Postdoctoral Researcher position will available Jan 1.?in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study the dynamic diversity of midbrain dopamine neurons in close collaboration with electrophysiologist Jochen Roeper at Goethe University in Frankfurt, Germany. The successful candidate will construct morphologically and biophysically realistic models of distinct subpopulations of dopamine neurons to account for experimentally observed differences in their bursting and pacemaking dynamics. These simulations will require in some cases incorporation of stochastic channel models and second messenger cascades. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the basal ganglia. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Please email CV to ccanav(a)lsuhsc.edu for more information. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.?

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Announcing our new Computational Neuroscience Center at the University of Washington; positions available
by fairhall＠u.washington.edu Oct. 16, 2017

Oct. 16, 2017

We’re delighted to announce the formation of the University of Washington Computational Neuroscience Center (compneuro.washington.edu) The Center brings together research across the full spectrum of mechanisms and functions of the brain, developing new theoretical, computational and statistical tools to unify and interpret the extraordinary data on neural systems being gathered by our partners in Seattle and around the world. Come join us! Faculty positions: We’re hiring an assistant professor to join the UW-CNC in the Department of Physiology and Biophysics. Application review is still open! http://depts.washington.edu/pbiopage/2017-compneuro-faculty-search/ Center administrator: We have an opening for someone passionate about facilitating and building the interdisciplinary scientific community of the UW-CNC. Role includes administering training programs and outreach, grantwriting support for center grants, organizing conferences and meetings, and recruiting for the center, with opportunities for writing about the center and its science and more. Please send a cv/resume and statement of interest to cncadmin(a)uw.edu. Postdoctoral positions: We are hiring a postdoctoral fellow to join our Swartz Center for Theoretical Neuroscience, position available immediately. To apply send a research statement, cv and the contact information for at least two referees to cncadmin(a)uw.edu Graduate students: UW has numerous graduate programs suitable for students interested in neural computation. Funding and training opportunities are many, including NIH Training Program in Neural Computation and Engineering at UW, the Big Data in Genomics and Neuroscience Training Grant, the University of Washington Institute for Neuroengineering, and the Center for Sensorimotor Neural Engineering. See http://compneuro.washington.edu/studies-in-neural-computation-and-engineeri… for a list and for typical application deadlines. Adrienne Fairhall Eric Shea-Brown

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Postdoctoral Research position available immediately
by Avrama Blackwell Oct. 16, 2017

Oct. 16, 2017

The Computational and Experimental Neuroplasticity laboratory (http://krasnow1.gmu.edu/CENlab/avrama.html) at George Mason University invites applications for a Postdoctoral Research position / software engineer beginning Oct 1, 2017. The successful candidate will contribute to ongoing, cutting-edge research in computational systems biology & neuroscience by further development of our stochastic reaction-diffusion software, NeuroRD and further development of parameter optimization software. CENlab is an interdisciplinary, dynamic and creative research group at Mason’s Krasnow Institute for Advanced Study, located in northern Virginia (15 miles west of Washington, D.C.). The hired applicant is expected to make valuable contributions to computational neuroscience software by (1) design and implementation of new features for NeuroRD (https://github.com/neurord/stochdiff) (2) extension of parameter optimization software (https://github.com/neurord/ajustadore) to signaling molecules and (3) investigating the role of calcium dynamics and cell signaling pathways in learning and plasticity. In each of these projects, the candidate is expected to contribute to publications and presentations on the new software as well as addressing neurobiological questions of interest. The candidate will closely interact with other members of CENlab including model developers and experimentalists. Requirements: Ph.D. in a relevant field (e.g. computer science, physics, bioinformatics, engineering) and at least one publication in reputable journal. Experience in software development (scientific software, python and C++ or JAVA preferred). Expertise with Unix operating systems. Knowledge of stochastic processes and biological processes. To apply, please respond to http://jobs.gmu.edu/postings/41446. Include curriculum vitae and cover letter; indicate whether you will be attending the 2017 SFN conference if you apply prior to Nov 8. Position will be filled as soon as a suitable candidate is found. The successful applicant will have office space, a unix computer workstation, and a post-doctoral level salary supplemented by excellent state employee benefits. More information: * NeuroRD website: https://github.com/neurord * Krasnow Institute for Advanced Study: http://krasnow.gmu.edu * George Mason University: http://www.gmu.edu George Mason University is an innovative, entrepreneurial institution with national distinction in a range of academic fields. Enrollment is 30,000, with students studying in over 150 degree programs at campuses in Arlington, Fairfax, Loudoun and Prince William. George Mason University is an equal opportunity employer encouraging diversity.

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Tenure Track Position in Applied Mathematics at Brandeis
by Jonathan Touboul Oct. 14, 2017

Oct. 14, 2017

Brandeis University, Department of Mathematics, invites applications for a tenure-track position in applied mathematics at the rank of assistant professor beginning fall 2018. Candidates must have a Ph.D. in mathematics or a related field, demonstrate potential for excellence in research, and display a commitment to teaching. An ideal candidate will be expected to help to build an applied mathematics program within the department, and to interact with other science faculty at Brandeis. Candidates from all areas of applied mathematics will be considered. First consideration will be given to applications received by November 15. Applications should include an AMS cover sheet, a curriculum vitae, research and teaching statements, and four letters of recommendation, one of which addresses teaching effectiveness. Applications should be submitted through MathJobs.org <http://mathjobs.org/>: https://www.mathjobs.org/jobs/jobs/10791 <https://www.mathjobs.org/jobs/jobs/10791>

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Tenure-Track Position at University of Maryland: Neurobiology/Biophysics
by Daniel A. Butts Oct. 13, 2017

Oct. 13, 2017

The Department of Biology at the University of Maryland, College Park invites applications for a tenure track Assistant Professor in Neuroscience and/or Biophysics. We seek outstanding candidates taking innovative experimental and/or theoretical/computational approaches to address major questions that complement and/or integrate the interests of our sensory neurobiology and biophysics groups. Applicants must have a doctoral degree and should have developed, or have demonstrated the potential to develop, an outstanding research program that garners competitive extramural funding. Postdoctoral experience is preferred. Applicants also must exhibit a commitment to excellence in teaching and mentoring, including working with students and groups from underrepresented backgrounds. The University of Maryland and Department of Biology are committed to increasing the diversity of the campus community. Candidates who have experience working with a diverse range of faculty, staff, and students, and who can contribute to the climate of inclusivity are encouraged to identify their experience in these areas. To Apply: https://ejobs.umd.edu The University of Maryland, College Park is the flagship campus of the University of System of Maryland and is one of the most rapidly advancing public research universities in the country. We have close interactions with the University of Maryland Medical School in Baltimore and our close proximity to Washington D.C. facilitates interactions with researchers at an extraordinary range of institutions (e.g., NIH, NIST, HHMI). The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. -------------------------------- Daniel A. Butts, Ph.D. Associate Professor Department of Biology and NACS University of Maryland, College Park Biosciences Research Building 1118 (301) 405-9890 http://neurotheory.umd.edu

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NEST Conference 2017 --- Register NOW!
by Hans Ekkehard Plesser Oct. 13, 2017

Oct. 13, 2017

Dear colleagues! It is a great pleasure to invite current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org) to the NEST Conference 2017 to be held on 19/20 December 2017 (Tuesday/Wednesday, lunch to lunch) at Haus Overbach in Barmen near Jülich, Germany. After our very successful and stimulating meeting in Karlsruhe last November, we are greatly looking forward to 24 hours filled with presentations and discussions of NEST applications to computational neuroscience and neurorobotics projects and NEST technology development. You are cordially invited to contribute to the program with your contribution! We are grateful to the Human Brain Project Outreach Programme and Education Programme for financial support. Important deadlines: - 1 November 2017: Deadline for submission of contribution and travel grant applications - 15 November 2017: Deadline for registrations For details, contribution submission and registration, please see https://indico-jsc.fz-juelich.de/event/52/overview We are looking forward to seeing you all in December! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Two open faculty positions; U Colorado Medical School
by Zylberberg, Joel L Oct. 12, 2017

Oct. 12, 2017

Dear Colleagues, The Dept. of Physiology and Biophysics at the University of Colorado Medical School is looking for two new faculty members in neuroscience and / or physiology, including computational neuroscience. The advert is attached. Please consider applying and / or forward this advert to colleagues who might be interested. Thanks for your consideration. Sincerely, __ Joel Zylberberg, Ph.D. Assistant Professor Department of Physiology and Biophysics University of Colorado School of Medicine www.jzlab.org<http://www.jzlab.org> CIFAR Azrieli Global Scholar, Learning in Machines and Brains program ~the neuroscience is theoretical, but the fun is real

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Postdoctoral fellowship in the neuroscience of decision-making
by Paul Cisek Oct. 11, 2017

Oct. 11, 2017

Postdoctoral fellow in the neuroscience of decision-making Department of neuroscience, laboratory of Paul Cisek Applications are invited for a postdoctoral fellowship in cognitive neuroscience, in the laboratory of Paul Cisek at the University of Montréal. Our research group studies the neural mechanisms of decision-making in humans and non-human primates using computational models of the nervous system as well as behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording, and we have several ongoing collaborations involving fMRI, MEG and intracranial EEG. See www.cisek.org/pavel <http://www.cisek.org/pavel> for information on current projects and a list of sample publications. The successful applicant will lead a research project investigating real-time dynamic decision-making through simultaneous multi-electrode recordings in the basal ganglia and the prefrontal, premotor and motor cortex of non-human primates. A Ph.D. in neuroscience or related field is required, and prior experience in neurophysiology and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural mechanisms, prepare manuscripts for publication, and participate in international conferences. For further information, please contact Dr. Paul Cisek (paul.cisek(a)umontreal.ca <mailto:paul.cisek@umontreal.ca> ). Applicants are asked to send a cover letter, curriculum vita, copies of academic transcripts, an optional statement of research interests, and the names and contact information of 2 or 3 references, to: Dr. Paul Cisek Department of neuroscience, University of Montréal C.P. 6128 Succursale Centre-ville Montréal, QC H3C 3J7, CANADA Phone: 514-343-6111 x4355 Web: www.cisek.org/pavel <http://www.cisek.org/pavel> email: paul.cisek(a)umontreal.ca <mailto:paul.cisek@umontreal.ca> Applications will be accepted until the position is filled, but preference will be given to applications received by November 30, 2017. Interviews will be possible at the Society for Neuroscience meeting (Washington DC, November 11-15, 2017)

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Postdoc positions available at University of Pittsburgh
by Runyan, Caroline A. Oct. 11, 2017

Oct. 11, 2017

Postdoctoral positions are available in the Runyan lab in the Department of Neuroscience at the University of Pittsburgh and the Center for the Neural Basis of Cognition. Our research involves dissecting inhibitory and neuromodulatory circuits across the cortical hierarchy. Our goal is to understand how changes in behavioral context and brain state shift local information processing and the transmission of information between cortical networks. We use two-photon imaging of population activity and optogenetics in head-fixed mice performing perceptual decision-making tasks. See Runyan et al., Nature, 2017 and carolinerunyan.org<http://carolinerunyan.org> for more information about our work. We are seeking individuals with experience in two-photon imaging, large-scale electrophysiology, optogenetics, and/or computational modeling. As we build our laboratory and our own approach to understanding the brain, the ideal candidates should have strongly driven scientific curiosity and problem-solving skills, as well as excellent interpersonal skills. This position offers the opportunity to participate in building a new research program, and to work in the highly collaborative, collegial environment at the University of Pittsburgh and Carnegie Mellon University. See cnbc.cmu.edu and cnup.neurobio.pitt.edu for more details. Interested candidates should send a CV, statement of research interests, and contact information for at least two references to runyan(a)pitt.edu. Caroline Runyan Assistant Professor Department of Neuroscience University of Pittsburgh Office: Langley A453, 412-383-4336 runyan(a)pitt.edu

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Postdoctoral position at the University of Rochester
by Tatiana Pasternak Oct. 10, 2017

Oct. 10, 2017

Postdoctoral position in cognitive neuroscience Postdoctoral position to study cortical circuitry underlying memory-guided visual decisions is available immediately in the laboratory of Dr. Tatiana Pasternak in the Department of Neuroscience and Center for Visual Science. The focus of the research program is on the activity of large populations of simultaneously recorded neurons across cortical network to identify on a trial-by-trial basis neural codes and network dynamics that underlie memory and comparison processes during perceptual decisions. The analysis will emphasize inter-neuronal and inter-areal interactions and synchrony as well as population decoding algorithms. Experimental approaches include array recording of spiking and LFP activity from prefrontal and extrastriate visual cortical regions of non-human primates during memory-guided sensory comparison tasks. Other approaches include reversible inactivation and microstimulation of identified cortical sites. An important component of the work is a collaboration with computational neuroscientists and developing models aimed at mechanisms underlying maintenance and utilization of visual information in decision-making. Preference will be given to candidates with strong quantitative background with experience in the analysis of physiological data and extracellular recordings. Applicants with strong background in related disciplines of systems neuroscience and/or computer science & engineering are welcome to apply. Experience with MATLAB/PYTHON programming and proficient knowledge of the English language are required. The University of Rochester offers a stimulating research environment and excellent opportunities for interactions and training in cognitive neuroscience and visual science. Interested applicants should send CV and names/contact information of three references to Dr. Pasternak. Please include a cover letter detailing your current research activities, expertise and the reasons for your interest in this position. **************************************** Tatiana Pasternak, Ph.D. Professor Departments of Neuroscience, Brain & Cognitive Science, Biomedical Engineering, and Center for Visual Science University of Rochester 585 275-8668 (office)

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PhD positions at the Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany
by Jochen Triesch Oct. 10, 2017

Oct. 10, 2017

8th Call for applications: International Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany The International Max Planck Research School (IMPRS) for Neural Circuits was established in 2011 and offers up to ten fully-paid positions every year for talented students holding a relevant Master´s or Bachelor´s as their highest degree to perform research resulting in a PhD. The program is taught in English. The common focus of the the International Max Planck Research School (IMPRS) for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method. Research areas are perception, connectomics, theoretical neuroscience, synaptic plasticity, brain dynamics, neural circuits, behavior and systems neuroscience. In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community. Students will participate in a tailor-made educational program including research rotations and neuroscience courses but also in trainings in transferable skills as well as retreats, conferences and summer schools and lecture series. We welcome excellent students to apply to the program. Till December 1, 2017, it will be possible to apply for a position starting in the Fall of 2018. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt, taking place in February 5-7, 2018. Shortly after the symposium, the students will receive a letter with an offer or rejection. More information, including Frequently Asked Questions, can be found on our website www.imprs.brain.mpg.de. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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2 postdoc positions in Geometric Methods for Deep and Reinforcement Learning at RIST
by Luigi Malagò Oct. 9, 2017

Oct. 9, 2017

=========================================================== *Subject*: 2 postdoc positions in Machine Learning (1 year, renewable up to 3 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 20 October 2017 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc- positions-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for 2 postdoc positions, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 3 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in- deep-learning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 20 October 2017 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 9, 2017

Oct. 9, 2017

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A list of relevant faculty, sorted by their primary departmental affiliation, is provided below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] * AndrÃ© A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in CDS) - Computational models of memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition, image processing. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Brenden Lake (also in CDS) - Computational modeling of cognition. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Center for Data Science (CDS) (deadline: 18 December) [https://cds.nyu.edu/academics/phd-in-data-science/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Mathematics (deadline: 18 December) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 18 December) [http://physics.as.nyu.edu/page/graduate] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://as.nyu.edu/econ/degree-programs/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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Workshop announcement: The Probabilistic Brain, March 2018
by Ulrik Beierholm Oct. 8, 2017

Oct. 8, 2017

Dear Colleagues We are very pleased to invite you to an exciting 2-day workshop on *probabilistic approaches to learning, perception, and action* in the historic city of Durham in the North-East of England: see the workshop website <https://sites.google.com/view/tpbw2018/>. The workshop will take place on *March 23rd-24th 2018*, and registration is *open now*. Speakers: Vikranth Rao Bejjanki, Hamilton College ● Nick Chater, University of Warwick ● József Fiser, Central European University ● Aldo Faisal, Imperial College London ● Samuel Gershman, Harvard University ● Janneke Jehee, Donders Institute ● Rebecca Lawson, UCL / Cambridge ● Laurence T Maloney, NYU ● Pascal Mamassian, Ecole Normale Supérieure ● Christopher Summerfield, University of Oxford ● Jane Wang, Google DeepMind The workshop is supported by the Experimental Psychology Society and Durham University. For full info on the workshop format and topics, our location and travel, and Registration, please see the workshop website <https://sites.google.com/view/tpbw2018/>. Hope to see you there, The organisers, Marko Nardini ● Ulrik Beierholm ● Maria Olkkonen (Durham University) ● Tessa Dekker (UCL) ● Laurence T Maloney (NYU)

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[jobs] Assistant and Associate Professor positions in Bio- and Neural Robotics in Odense
by Poramate Manoonpong Oct. 8, 2017

Oct. 8, 2017

The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, invites applications for Assistant or Associate Professor with research focus in Neural Robotics, Bio-inspired or Biorobotics, available from January 2018 and based in Odense. The positions are based in the Embodied Systems for Robotics and Learning (ESRL) unit and will complement the unit's existing research activities: - biorobotics; - neural models of control for embodied robots; - bio-inspired / neural learning mechanisms; - cross-modal and multi-modal sensory interpretation; - development of bio-inspired and embodied robotic hardware; - bio-inspired collective behaviour in robot groups; - embedded electronics design and research; - development and use of robotic educational tools; - morphological computation and the role of embodiment. Duties comprise research and teaching, student project supervision and acquisition of external funding. If you have a Ph.D. in a computing, mathematical, computational neuroscience or robotics-related discipline and a research track record including strong interdisciplinary work in one or more of the topics above, send us an application: for more detail and application form see [1]. The closing date is the 27th of October, 2017. For more information about these positions, please contact Professor John Hallam <john(a)mmmi.sdu.dk<mailto:john@mmmi.sdu.dk>>. [1] https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?Po…

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M-GATE: 15 PhD positions available in leading labs across Europe on the physiology and circuits of memory [WITH FIXED LINK; APOLOGIES]
by Francesco Battaglia Oct. 6, 2017

Oct. 6, 2017

M-GATE is a network of 8 leading European institutions funded by a Marie Sklodowska-Curie Action of the European Commission, for 15 PhD students Healthy brain physiology, as well as diseases of memory circuits such as epilepsy and Alzheimer will be studied. Detailed circuit analysis approaches in animals will be combined with work on human subjects and theoretical approaches. New experimental and analytical technologies will be developed and deployed, also in collaboration with industrial partners. Positions are available with the following PIs: - Dr. Francesco Battaglia (network coordinator)/Dr. Lisa Genzel Donders Institute, Radboud University Nijmegen, The Netherlands; - Dr. Clifford Kentros; NTNU, Trondheim, Norway - Dr. Hugo Spiers; University College London - Dr. Christophe Bernard Université d’Aix/Marseille, France - Dr. Pim Drinkenburg; Janssen Pharmaceutica BV, Beerse, Belgium - Dr. Alessandro Treves; SISSA International School for Advanced Studies, Trieste, Italy - Dr. Nachum Ulanovsky; Weizmann Institute, Rehovot, Israel - Dr. Misha Tsodyks; Weizmann Institute, Rehovot Israel - Dr. Rosa Cossart; Institut de neurobiologie de la Mediterranée, Marseille France We will offer to the students a training program including events at all participating institutions, including theoretical courses, experimental methodologies and transferable skills. The details of the network and all projects are available at our website http://www.mgate.eu <http://www.mgate.eu/> requirements and application procedures vary by PhD project, as described in the website. Please contact the project PIs (addresses available on the website) for questions on the project. General inquiries may be directed to the network coordinators at info(a)mgate.eu <mailto:info@mgate.eu>. In general, we will give full consideration to applications received by Nov., 30 2017.

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Two Post-doctoral positions available in Rome
by Aldo Genovesio Oct. 6, 2017

Oct. 6, 2017

Two ERC funded Post-doctoral positions in Primate Neurophysiology are available in the laboratory of Aldo Genovesio at the Medical School of the Sapienza University of Rome, Italy. Both positions are of one year renewable for at least other two years. We are looking for candidates with a PhD in the field of neuroscience, statistics, biomedical engineering, computer science, or related fields with a background in training animals, recording and analysis of neuronal data or in computational neuroscience. Experience with data analysis, programming (C/C++ and Matlab), and a quantitative approach are important. One position is for a candidate with previous experience in training animals, recording and analysis of neuronal data. The other position is for a candidate with a background in computational neuroscience or computer science. He is expected to analyze the activity of large sets of single cells of simultaneously recorded neurons and local fields and to develop computational models of the data. The ERC project investigates using multi-site electrode arrays the neural activity underlying prediction, categorization, and monitoring of self and others goals actions in the prefrontal cortex during social interaction with a focus on the Frontal Pole cortex, a prefrontal area only recently investigated at the single cell level in our past studies. Inquiries should be addressed to genovesiolab(a)gmail.com. All interested candidates should send a CV, a brief description of research interests for a preliminary evaluation and names and contact of 2 references to genovesiolab(a)gmail.com. The start date is flexible. The salary will be determined based on the experience. Prof. Aldo Genovesio Department of Physiology and Pharmacology Sapienza University of Roma Piazzale Aldo Moro 5; 00185 Roma E-mail: aldo.genovesio(a)uniroma1.it

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AoN Brainhack Warsaw 2017 - call for participants - early bird registration till 15.10
by Daniel Borek Oct. 6, 2017

Oct. 6, 2017

*AoN Brainhack Warsaw 2017* *November 17-19, 2017* *University of Warsaw, Warsaw, Poland* *— The early bird registration extended to 15th October2017 — * On the weekend of *17-19th November 2017*, the first edition of AoN Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on* neuroscience-related projects*. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community ( <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. Attendees of various backgrounds are welcome to join! Below you could see list of projects which will be realised during our three day event: 1. Functional connectivity research: can we find a common ground? <https://brainhackwarsaw.github.io/#connectivity> 2. Detecting trypophobia triggers <https://brainhackwarsaw.github.io/#connectivity%23trypophobia> 3. Development of video game for studying joint action dynamics <https://brainhackwarsaw.github.io/#connectivity%23game> 4. Training a human-like movie evaluation system based on the semantic features of the storylines <https://brainhackwarsaw.github.io/#connectivity%23movies> 5. Hypothesis-driven white matter tractography from T1-weighted MRI images <https://brainhackwarsaw.github.io/#connectivity%23whitematter> 6. One channel EEG sleep staging with open source and open hardware NeuroOn sleep mask <https://brainhackwarsaw.github.io/#connectivity%23neuroon> 7. Building a brain-ageing biomarker using machine learning <https://brainhackwarsaw.github.io/#connectivity%23ageingbiomarker> 8. Building and using the “FlyPi”: the 3D-printed Neurobiology Lab <https://brainhackwarsaw.github.io/#connectivity%23flypi> *‘Early bird’* registration for project participants,* closes on 15th October 2017*. The applications will be reviewed and the notification of acceptance will be sent to the applicants until 20th October2017. We welcome everyone at the AoN Brainhack Warsaw 2017 event. We would like to prepare the equipment and the clusters properly before the event, therefore we are asking the participants to register in advance and choose the projects of their preference. We will do our best to make sure that everyone can take part in the project they like, and that the projects are well prepared for the participants. In any case, we welcome everyone to come, watch the event and help us at the first Brainhack in the history of AoN conference! A registration fee of 25EUR (or 100PLN) will be requested upon acceptance. The registration fee will be spent on the catering during the event. To register please visit our page and learn more about the Brainhack Warsaw! https://brainhackwarsaw.github.io/ <https://brainhackwarsaw.github.io/> We looking forward to see you in Warsaw! *The AoN Brainhack Warsaw 2017 team*

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M-GATE: 15 PhD positions available in leading labs across Europe on the physiology and circuits of memory
by Francesco Battaglia Oct. 6, 2017

Oct. 6, 2017

M-GATE is a network of 8 leading European institutions funded by a Marie Sklodowska-Curie Action of the European Commission. We offer to 15 promising young researchers the opportunity to get a world-class doctoral training and do cutting edge research on memory circuits. Healthy brain physiology, as well as diseases of memory circuits such as epilepsy and Alzheimer will be studied. Detailed circuit analysis approaches in animals will be combined with work on human subjects and theoretical approaches. New experimental and analytical technologies will be developed and deployed, also in collaboration with industrial partners. Positions are available with the following PIs: - Dr. Francesco Battaglia (network coordinator) Donders Institute, Radboud University Nijmegen, The Netherlands; - Dr. Rosa Cossart; Institut de neurobiologie de la Mediterranée, Marseille France - Dr. Hugo Spiers; University College London - Dr. Christophe Bernard Université d’Aix/Marseille, France - Dr. Pim Drinkenburg; Janssen Pharmaceutica BV, Beerse, Belgium - Dr. Clifford Kentros; NTNU, Trondheim, Norway - Dr. Alessandro Treves; SISSA International School for Advanced Studies, Trieste, Italy - Dr. Nachum Ulanovsky; Weizmann Institute, Rehovot, Israel - Dr. Misha Tsodyks; Weizmann Institute, Rehovot Israel We will offer to the students a training program including events at all participating institutions, including theoretical courses, experimental methodologies and transferable skills. The details of the network and all projects are available at our website http://www.mgate.eu <http://www.maget.eu/>. Job requirements and application procedures vary by PhD project, as described in the website. Please contact the project PIs (addresses available on the website) for questions on the project. General inquiries may be directed to the network coordinators at info(a)mgate.eu <mailto:info@mgate.eu>. In general, we will give full consideration to applications received by Nov., 30 2017.

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Open position: Expert in machine learning and high-performance computing
by Daniel Zysman Oct. 5, 2017

Oct. 5, 2017

The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry. To apply: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do… <https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do…> For more information about our department: https://bcs.mit.edu/ <https://bcs.mit.edu/> Job Description: PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems. Job Requirements: Bachelor’s degree (advanced degree preferred) in a scientific field or computer science; at least four years’ experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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PhD positions at the Univ. of Leicester (for UK/EU candidates only)
by Quian Quiroga, Rodrigo (Prof.) Oct. 5, 2017

Oct. 5, 2017

Fully Funded PhD Studentships (for UK/EU candidates only) Centre for Systems Neuroscience, University of Leicester, UK. www.le.ac.uk/csn The Centre for Systems Neuroscience at the University of Leicester, UK, offers up to 2, 3-Year Fully Funded (stipend plus fees) PhD positions for UK/EU candidates, to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory formation. Candidates should have very good quantitative skills (data processing, and programing in Matlab), a strong background in neuroscience and, ideally, good experience with neurophysiology recordings. They should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Valeria Zonato, Research Centre Manager, vz12(a)le.ac.uk or 0116 252 3249. Interested candidates should send their curriculum vitae and a brief description of their scientific interests to Valeria Zonato (vz12(a)le.ac.uk<mailto:vz12@le.ac.uk>). The closing date for the applications is Friday 15th September 2017.

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COSYNE 2018: Call for workshop proposals and Meeting announcement
by Tomas Hromadka Oct. 5, 2017

Oct. 5, 2017

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES NEW Workshop pre-proposal deadline: 14 October 2017 NEW Workshop proposal deadline: 10 November 2017 Abstract submission opens: 10 October 2017 Abstract submission deadline: 20 November 2017 ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------- PRE-PROPOSALS In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by *14 October 2017.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory but workshops with a pre-proposal will have priority. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org) The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Breckenridge, CO, a ski resort located 100 miles (approximately two hours) from the Denver International Airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Deadline for pre-proposals: 14 October 2017 Deadline for proposals: 10 November 2017 Format: plain text only, please no attachments, email to workshops [at] cosyne.org (Laura Busse, Ralf Haefner) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE WORKSHOP QUESTIONS workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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High performance computing workshop at SFN 2017
by Ted Carnevale Oct. 4, 2017

Oct. 4, 2017

Seats are still available in the workshop Using the Neuroscience Gateway Portal (NSG) for Parallel Simulations Saturday, Nov. 11 from 9 AM to noon which we are presenting in downtown Washington, DC as a satellite to this year's SFN meeting. NSG eliminates most technical and adminstrative barriers to using high performance computing resources, and even gives away free CPU time on parallel supercomputers. Software currently installed on NSG includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. At this workshop you will learn how to use this NSF-supported resource in your computationally-intensive modeling and data analysis projects. You will also hear presentations from several research teams about how they are using NSG in their own research. For a description of the workshop and its application form, see http://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html The registration deadline is Friday Oct. 28. --Ted

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Postdoctoral Position in Computational Approaches to Rodent Social Neurophysiology
by Liu, Robert C Oct. 4, 2017

Oct. 4, 2017

Postdoctoral Position in Computational Approaches to Rodent Social Neurophysiology Yerkes National Primate Research Center and the Department of Biology Emory University, Atlanta, Georgia The laboratories of Robert Liu, Gordon Berman and Larry Young at Emory University are accepting applications for a postdoctoral scientist working in a collaborative team to use quantitative behavioral and electrophysiological methods to study pro-social interactions in rodents. The research combines recent advances in computational ethology (Berman et al, Interface, 2014) with in vivo electrophysiology and optogenetics in socially interacting prairie voles (Amadei, Johnson et al, Nature, 2017), a premier rodent model for the formation of social bonds (Lim et al, Nature, 2004). Our NIH-funded project's goal is to use prior behavioral and neurophysiological activity to build predictive models of social dynamics leading to a pair bond. PhD required. We are looking for a candidate with a strong background in experimental, in vivo extracellular electrophysiology (ideally in rodents) and computational data analysis and scientific programming. Training in the neurobiology of social behavior, social information processing, sensorimotor integration, and/or the neural circuitry for reward and reinforcement would also be viewed favorably. Emory University and the Yerkes National Primate Research Center have a rich, collaborative neuroscience community (http://biomed.emory.edu/PROGRAM_SITES/NS/) especially in the areas of translational social neuroscience (http://ctsn.emory.edu/) and computational neuroscience (http://compneurosci.college.emory.edu/) Research at Emory in the neurobiology of social behavior extends across many labs from the molecular level through the organismal level in animal models and humans, with a particular interest in the functions of oxytocin (http://www.oxytocin.emory.edu/) Ongoing efforts include both elucidating normal processes and ameliorating deficits found in human conditions, like autism spectrum disorder. To inquire or apply, please email robert.liu(a)emory.edu<mailto:robert.liu@emory.edu>. Review of applications will begin immediately and continue at least through Oct. 31, or until the position is filled. Applications should include a CV, the names and full contact information of 3 references, and at least one representative publication. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. References: Amadei EA*, Johnson ZV*, Kwon YJ, Shpiner AC, Saravanan V, Mays W, Ryan S, Walum H, Rainnie D, Young LJ, Liu RC (2017). Dynamic corticostriatal activity biases social bonding in monogamous female prairie voles, Nature, 546(7657):297-301. doi:10.1038/nature22381<http://www.nature.com/articles/doi:10.1038/nature22381> Berman GJ, Choi DM, Bialek W, Shaevitz JW (2014). Mapping the stereotyped behaviour of freely moving fruit flies. Journal of the Royal Society Interface, 11(99):20140672. doi:10.1098/rsif.2014.0672<http://doi.org/10.1098/rsif.2014.0672> Lim, MM, Wang Z, Olazábal DE, Ren X, Terwilliger EF, Young LJ (2004). Enhanced partner preference in promiscuous species by manipulating the expression of a single gene. Nature, 429(6993):754-757. doi:10.1038/nature02539<http://www.readcube.com/articles/10.1038/nature02539> Robert C. Liu, PhD Associate Professor Department of Biology Emory University O. W. Rollins Research Center Rm 2131 1510 Clifton Rd NE Atlanta, GA 30322 USA Phone: +1 404-727-5274 Email: robert.liu(a)emory.edu<mailto:robert.liu@emory.edu> Lab Website<http://www.biology.emory.edu/research/Liu/html/index.php> ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Quantification of the Function of Criticality: Call for Contributions
by Nergis Tomen Oct. 4, 2017

Oct. 4, 2017

[Apologies if you received this message more than once] Dear Colleagues, We are calling for abstracts for contributions towards a publication on *The Functional Role of Critical Dynamics* *in Neural Systems*. The collection will be published by Springer and will be free of charge for the authors. The main aim of this collection will be to bring together research and ideas linking together criticality in the cortex, dynamical and emergent network states and the putative role such states may serve in the way of function and computational advantages. The intended format of the book is a collection of short and concise chapters focusing around this central theme, in order to allow for many different perspectives to be represented. If you would like take part in this publication, please send an extended abstract summarizing your planned contribution, following the guidelines below, to A. Janssen (*ajanssen**(a)neuro.uni-bremen.de* <ajanssen(a)neuro.uni-bremen.de>) who will be coordinating the communications by *October* *25th*. For details of the planned contents and structure of the full contributions, as well as our expected timeline, please see below. Full papers will be expected by the end of this year. Best wishes, Udo Ernst & Nergis Tomen & Michael Herrmann *Guidelines for your contribution * We are aiming for a publication that will give a broad overview of the state of research linking neuronal avalanches and self-organized criticality (SOC) to neural function and information processing (for the related concepts please see e.g. [Bak, Tang and Wiesenfeld, 1987] and [Beggs and Plenz, 2003]). Due to the computational advantages of simple systems operating close to a phase transition (e.g. [Langton, 1990]), there has been a growing interest in the neuroscience community in the recent years to tackle the question “Can critical dynamics be useful for the brain?”. And this was the central theme of the *Excellence Workshop "Dynamical network states, criticality and cortical function"* that took place on 25-28 March 2017 in Hanse-Wissenschaftskolleg, Delmenhorst, Germany ( *http://www.h-w-k.de/index.php?id=2240* <http://www.h-w-k.de/index.php?id=2240>). In light of the positive feedback and interest we received from the community, we are now aiming to bring together different ideas and approaches related to critical dynamics and its potential functional role in cortical information processing, and we are looking forward to your contributions. We will have a two-stage submission process for the authors. The first stage is to submit an extended abstract that can be of any format, but should include a title and contact information of the authors and should begin with a very brief summary of the main message of the contribution. As a guideline it is suggested that the length of the extended abstract is 1 to 4 pages and that it contains 1 to 4 figures. Please submit your abstract to *ajanssen**(a)neuro.uni-bremen.de* <ajanssen(a)neuro.uni-bremen.de> by *October 25th*. Full papers will be requested before the end of this year. The final papers are expected to include an easy-to-follow introduction, one or more well-evidenced claims and a substantial discussion section. The full papers are limited in size to 15-20 pages each (each page about 450 words), including figures and references. There will be LaTeX and MS Word templates provided by Springer for the full contributions. Each contribution will be peer-reviewed by at least 2 colleagues before being published. Each author of a contribution is also expected to act as a reviewer for 2-3 other contributions. We plan to include reviewers from outside the field to provide 'critical' input. Realistically, we estimate that the review process will start in in winter 2017 and end in spring 2018. We expect the submissions to present original research by the authors.This can include new results or review of past research by the authors (for review papers, it is allowed to include research by other persons where suitable, as long as it does not constitute a major part of the contribution). We believe it is important for contributions to put forward a vision or perspective on criticality research. It is important to make connections to the functionality of the concepts described in your contribution (e.g. how do the properties observed in your model/experiments relate to information transfer/processing, behavioural performance, computation, communication and configuration, etc.). Where applicable, it is allowed and encouraged to talk about predictions and theories about how the contents of a contribution may relate to active computation in the cortex, what practical advantages and biological mechanisms they may be linked to as well as what direction future research should take to answer such questions. We encourage the authors to actively try to draw connections between their own research, research of other scientists in their field as well as outside of their field (e.g. discussing ties with experimental results in a theoretical contribution and vice versa). Thank you for considering these guidelines.

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Start-up EEG hardware and data analytics roles at start-up
by Brian Murphy Oct. 4, 2017

Oct. 4, 2017

BrainWaveBank's mission is to transform how cognitive illness is diagnosed and treated so that people can live longer, healthier, more fulfilling lives. Our 16-channel EEG headset is designed for home-use, and is supported by a platform of tablet-based games and cloud-based analytics to track cognitive performance and health. We are now expanding, and hiring a number of software, hardware and scientific roles into our Dublin and Belfast offices. We are seeking exceptional candidates for these roles (see links below for full details): - Senior EEG Research Engineer, Dublin • Full-time - EEG Research Engineer, Dublin • Full-time - Machine Learning Engineer, Dublin • Full-time - Cognitive Neuroscientist, Dublin • Full-time - EEG Hardware Design Lead, Belfast • Full-time - Full Cloud Stack SW Engineer, Belfast • Full-time - Senior Mobile Developer (Android), Belfast • Full-time - Trial Manager, Belfast • Full-time View full details of the roles and apply through: https://www.indeedjobs.com/brainwavebank/_hl/en_GB Learn more about the team and mission: http://www.brainwavebank.com -- Dr. Brian Murphy Co-Founder and Chief Scientific Officer BrainWaveBank Ltd M: +44 7716 686654 M: +353 86 0666732 E: brian(a)brainwavebank.com Twitter: @brainwavebank www.brainwavebank.com The information contained in this email transmission is confidential and may be privileged. If you are not the intended recipient, any use, dissemination, distribution, publication, or copying of the information contained in this email is strictly prohibited. If you have received this email in error, please immediately notify us by telephone at +44 028 9264 6600 or email info(a)brainwavebank.com and delete the email from your system. Thank you for your co-operation. BrainWaveBank Ltd is a limited company registered in Northern Ireland. Registered number: NI628481. Registered office: 32-36 Dublin Road, Belfast BT2 7HN.

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Postdoc/programmer position at the Okinawa Institute of Science and Technology
by Erik De Schutter Oct. 4, 2017

Oct. 4, 2017

The Computational Neuroscience unit (https://groups.oist.jp/cnu) at the Okinawa Institute of Science and Technology, Japan has an opening for a postdoctoral researcher or technician in software development and computational modeling of stochastic neuronal reaction-diffusion processes. Initial duration is two years with an option to extend. The hired postdoctoral researcher or technician is expected to make valuable contributions to the STEPS project (http://steps.sourceforge.net) in two ways: 1) by researching molecular neuronal processes and designing novel techniques and routines for accurate computational modeling of such systems, and 2) contributing to realistic applications of the new techniques in biological modeling studies. In performing these tasks, the candidate is expected to contribute to publications that are either based on theory and computational techniques, or geared more towards answering real biological questions through computational modeling. As such the ideal candidate will have a scientific background but also possess good programming skills. There will be many opportunities to interact with other STEPS developers in our lab and also other researchers working on related cerebellar projects, and also to collaborate on STEPS development with the Blue Brain Project, EPFL, Geneva. Competences: For the postdoctoral position a recent PhD is required in a relevant discipline such as neuroscience, molecular biology, biophysics, biochemistry, and for a technician a masters degree is required in a similar discipline or computer science. For either position, we require a talented programmer with experience in C++ and Python. In satisfying these criteria, it is expected that the candidate has some experience of modeling neuronal or other biological processes computationally, but this is not essential if the candidate has a strong enough interest in moving into the field. Fluent English conversation and writing skills are required. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab. Contributions of technicians are honored by authorship on relevant publications. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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Postdoctoral position in computational neuroscience at UCSD
by Maxim Bazhenov Oct. 3, 2017

Oct. 3, 2017

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov (http://www.bazhlab.ucsd.edu/) at the University of California, San Diego to study role of sleep in memory and learning. The ultimate goal of the project is to understand how the interaction among brain areas during sleep leads to consolidation of memory for recent learning and how sensory or electrical stimulation can enhance memory consolidation. This project involves close collaboration with several experimental laboratories. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be applied to understand network dynamics that are involved in the processes of memory consolidation, to design optimal stimulation approaches, to guide data analysis and to make predictions for future experimental studies. Qualified applicants are expected to have experience in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required. Knowledge of PYTHON and MATLAB is a significant plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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APA Technology, Mind, & Society Conference - Submissions due Oct 20
by Jeff Krichmar Oct. 1, 2017

Oct. 1, 2017

Dear Colleagues, This upcoming APA conference on Technology, Mind, & Society may be of interest to many of you. Keynote speakers include Cynthia Breazeal (MIT, Jibo Inc.), Justine Cassell (CMU), Eric Horvitz (Microsoft Research Labs), and Alex "Sandy” Pentland (MIT). Paper submissions are due October 20th. See:http://pages.apa.org/tms/ Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma The American Psychological Association will hold an interdisciplinary conference on Technology, Mind, and Society in Washington, D.C., on April 5-7, 2018. Scientists, practitioners, policymakers, and students from around the world are invited to participate in the event. The conference will provide a venue for reporting and assessing current efforts to understand and shape the interactions of human beings and technology, for identifying priorities for future work, and for promoting exchange and collaboration among participants. The conference will feature four keynote speakers: Cynthia Breazeal (MIT), Justine Cassell (Carnegie Mellon), Eric Horvitz (Microsoft Research), and Sandy Pentland (MIT). APA invites you and your colleagues and students to submit papers, symposia, and posters for this conference, which will be organized around the following broad themes: • Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human-technology interactions as mutually adaptive systems, role of technology in advancing other areas of scientific research, and related topics. • Foundations of technology design: Development of technologies informed by psychological, behavioral, and social science research. • Applications: Development, use, and impact of specific technologies in domains such as aging, education, mental and physical health, recreation, and the workplace. • Broader implications: Ethical and policy questions concerning the opportunities and challenges arising from human-technology interactions. The deadline for submissions is October 20, 2017. The conference is open to researchers, professionals, and students in all relevant areas, including psychology and other behavioral and social sciences, neuroscience, computer science, engineering, design, health research, education research, city and regional planning, public policy, history of science and technology, and philosophy. The conference aims to address the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, gaming, geographic information systems, autonomous vehicles, and biomedical technologies (e.g., brain-machine interfaces, genetic engineering). APA is sponsoring the conference in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery — Special Interest Group for Computer-Human Interaction (ACM SIGCHI). We look forward to seeing you at the Technology, Mind, and Society Conference! For additional information, see the conference website (http://pages.apa.org/tms/) If you have any questions, please contact the APA Science Directorate (science(a)apa.org)

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Postdoc in computational neuroscience of consciousness
by Srivas Chennu Sept. 30, 2017

Sept. 30, 2017

In the School of Computing at the University of Kent (UK), we are seeking to recruit a Research Associate to work on the computational neuroscience of consciousness. This post is part of the EPSRC project "A Computational Prototype for Electroencephalographic Brain Connectomics" awarded to Dr. Srivas Chennu. This exciting project sits at the interface of signal processing, machine learning and neuroscience. More information is available at the link below: https://www.cs.kent.ac.uk/people/staff/sc785/mohawk.html This role will involve: • Develop a computational prototype for electroencephalographic brain connectomics for discriminating states of awareness and use real datasets and develop simulations to test and validate the prototype. • Working with the PI, interact with collaborators at partner sites to explore deployment of the prototype at the bedside of patients with disorders of consciousness • Communicate and disseminate project outcomes in academic publications, scientific conferences, technical reports, web-based platforms and social media You will play a key role in this project, focusing on the development of the software prototype. In addition to working closely with Dr. Chennu, you will interact regularly with clinicians and neuroscientists at the Universities of Cambridge and Liége. Both partners have made available a large dataset of EEG acquired from patients and controls, which will be used to test and validate the prototype to be developed here. You will be supported in your role by Dr. Chennu, in addition to PhD students in the research group, and will be able to access the broad-ranging expertise available across other members of the Data Science group and the School of Computing. This is a fixed term post (to start in Jan 2018, date negotiable) and will provide the successful candidate with a rich collaborative environment: it is positioned within the recently formed Data Science group at the University of Kent, and will involve close collaboration with external partners at the Universities of Cambridge and Liège (Belgium). To succeed in this role you will: • A PhD in Computer Science/Neuroscience, or be near completion • Experience of EEG/MEG Signal Processing, Machine Learning in Neuroscience and MATLAB and/or Python in Neuroscience • Experience of working in a research environment and the ability to liaise with other external partners *The School of Computing* at Kent is a welcoming and supportive environment that has recently been recognised with a Bronze Athena SWAN award. We are a well-balanced, inclusive and diverse community that aims to further enhance our achievements and reputation in teaching, research and innovation. Start date for applications: 29 September 2017 Closing date for applications: 05 November 2017 Interviews are to be held: 29 November 2017 Please see the link below to view the full job description and also to apply for this post. If you require further information about this post/project please contact the PI, Dr. Srivas Chennu at sc785(a)kent.ac.uk. For any questions regarding the application process please contact The Resourcing Team on jobs(a)kent.ac.uk quoting ref number: STM0847 https://www11.i-grasp.com/fe/tpl_kent01.asp?s=4A515F4E5A565B1A&jobid=41306, 5425238748&key=50937013&c=223465364822&pagestamp=sewzjjuhsdmqkvijvz

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Post-doctoral Research Scientist in Cochlear Implant Research, Psychoacoustics and Virtual Acoustics
by Seeber, Bernhard Sept. 29, 2017

Sept. 29, 2017

Dear List, we are inviting applications for a post-doctoral research scientist to join our team in cochlear implant research, psychoacoustics and/or virtual acoustics. Main responsibilities are: - Research on binaural hearing and auditory scene analysis with normal hearing listeners and/or users of cochlear implants and/or - Development of techniques for and experiments in interactive audio-visual virtual reality - Development of listening tests and statistical analysis of the results - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. The position is full time and will start at the earliest convenient date. We offer... you the opportunity to join an interdisciplinary team, to work with up-to-date technical equipment including an anechoic chamber hosting a virtual reality system, and to learn about the latest methods in hearing research. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich (www.bccn-munich.de) the Munich School of BioEngineering (www.bioengineering.tum.de) the Graduate School of Systemic Neurosciences (www.gsn.uni-muenchen.de) the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please find further information at www.aip.ei.tum.de. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension. Women are explicitly encouraged to apply. Severely handicapped persons will be favored if they are equally qualified. In principle, the position could also be filled part-time. Munich - the city famous for the Oktoberfest, high-end cars and its unique location to the Alps - is a bustling, international and interesting place to live which also offers a wide range of opportunities to engage in cultural and leisurely activities - from opera to skiing. Interested? I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application stating research interests preferably by email no later than 31 October 2017 to: Prof. Dr.-Ing. Bernhard Seeber Professorship for Audio Information Processing Technical University of Munich Arcisstrasse 21 80333 Munich Germany Email: aip(a)ei.tum.de. For further information about the post, including qualification requirements, please visit www.aip.ei.tum.de. Kind regards, Bernhard Seeber -- DAGA Conference Munich, 19.-22. March 2018 http://2018.daga-tagung.de/ Note: Abstract submission deadline: 01.11.2017 Prof. Dr.-Ing. Bernhard U. Seeber Professor of Audio Information Processing Dept. of Electrical and Computer Engineering Technical University of Munich Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.ei.tum.de www.bseeber.de

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PhD Studentship in Computer Science -- University of Surrey, UK
by a.gruning＠surrey.ac.uk Sept. 29, 2017

Sept. 29, 2017

% PhD Studentship in Computer Science % Studentship start date: January 2018 % Application deadline: September 30, 2017 # Funding amount Fee waiver and a stipend of £16,000 per annum for a Home (UK/EU) student # Position Summary Applications are invited for a cutting-edge 3-year Ph.D. project in the Department of Computer Science, University of Surrey, UK in a number of areas, including machine learning especially deep learning and neural networks, complex systems, and evolutionary computation, with application to biomedicine, transport, security and design optimisation. Applications are particularly welcome to one of the following highlighted projects: 1. Neural networks for biomedicine. The project will focus on constructing a framework for the formulation of bio-inspired learning rules for deep learning neural networks. Its aim is to develop a mathematical and conceptual framework within which bio-inspired learning algorithms can be formulated clearly and concisely for ease of their application, understanding, and generalisation. This project will build upon an ongoing project, namely the Human Brain Project (HBP), a multi-billion Flagship project funded by the EU Horizon 2020. This project area will be co-supervised by Dr Clive Cheong Took and Dr André Grüning. 2. Modelling and controlling the dynamics and time evolution of complex systems. The aim of this PhD is to develop a computational framework for maximising the effect of external interventions in a complex system, and do so in a predictable and trusted manner. Such systems include: transportation networks; social networks; multi-modal patient care systems; social-ecological systems; and many others where there are no single points of control or failure. The core objective is to bring together formal verification and machine learning and develop approaches that allow model checking and scenario appraisal in complex systems. This project area will be co-supervised by Dr Sotiris Moschoyiannis and Dr Clive Cheong Took. For more about the NICE group, see http://www.surrey.ac.uk/cs/research/nice. # Department of Computer Science The Department of Computer Science at the University of Surrey, within the Faculty of Engineering and Physical Sciences, has an international reputation for research and teaching. Our research excellence is reflected from the fact that Surrey’s research in computer science has been consistently ranked World Top 150 and UK Top 10 in the SJTU ARWU Subject Ranking in Computer Science since 2012. Similarly, Surrey’s Computer Science subject is ranked at 6 th position in the UK according to the latest Guardian University Guide 2018, which focuses more on teaching excellence. Research in the Department is focused on two main areas: Nature Inspired Computing and Engineering (NICE) and Secure Systems. The NICE group is internationally leading in the area of evolutionary computation, machine learning, brain-inspired computing and complex systems with application to optimisation, data analytics, image processing, swarm robotics, healthcare and bioinformatics. The Secure Systems 1 International (non-UK/EU) students are also eligible to apply, but will be expected to bring additional funding to cover the difference (currently £14,815 per year) between UK/EU and international fees: see https://www.surrey.ac.uk/postgraduate/pgr-fees. # Qualifications To apply you should have at least an upper second class honours degree (or overseas equivalent) in Computer Science, or a suitable technical science or engineering subject such as Computer Engineering and Electronic Engineering. Preference will be given to those with appropriate MSc or equivalent research/industrial experience in relevant areas. Experience in a relevant area is not required, but advantageous. The candidate is expected to have solid mathematical knowledge, including calculus and linear algebra. Hands-on skills in one of the programming languages is expected, such as Matlab, Python, Java, or C/C++. In addition, the applicant must have good communication skills and be fluent in English. We look for a candidate that is self-motivated, engaging, and is a team player. # Application Procedure The application process requires the submission of a CV, two letters of recommendation or contact information of two referees, copies of degree certificates and transcripts from all university-level courses taken. More information about how to apply can be found in the Computer Science PhD page by clicking on the ‘apply online’ button. In addition to the above, as part of your application, you are also required to upload the following documents: - Statement of purpose (1-3 pages) where you introduce yourself, explain why you want to pursue a PhD, present your qualifications and describe your future research plans; - Research proposal describing your research area of interest and motivation in one of the relevant areas. Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. For any questions regarding the application process or an informal discussion about the position especially the highlighted projects, please contact the named supervisors of the specific project given before. For more general queries about the studentship contact Dr Andre Gruning <a.gruning(a)surrey.ac.uk> Surrey continuously strives to be an attractive employer. We acknowledge, understand and embrace diversity. # Useful links: Potential PhD Supervisors and their research interest and publications: - https://www.surrey.ac.uk/cs/people/clive_cheong_took/ - https://www.surrey.ac.uk/cs/people/andre_gruning/ - https://www.surrey.ac.uk/cs/people/sotiris_moschoyiannis/ - https://www.surrey.ac.uk/cs/people/yaochu_jin - https://www.surrey.ac.uk/cs/people/paul_krause - https://www.surrey.ac.uk/cs/people/hongying_tang PhD in Computer Science at Surrey: - http://www.surrey.ac.uk/postgraduate/computer-science-phd - https://www.surrey.ac.uk/department-computer-science/study/postgraduate-res… - https://www.surrey.ac.uk/department-computer-science/study/postgraduate-res… The NICE group - http://www.surrey.ac.uk/cs/research/nice -- Brief? Here's why: http://emailcharter.org<http://emailcharter.org/> Dr Andre Gruning Senior Lecturer (Associate Professor) Postgraduate Research Director Department of Computer Science University of Surrey, Guildford GU2 7XH United Kingdom

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NIH/NSF funded postdoc (U Penn/U Houston/CU Boulder)
by Zachary Kilpatrick Sept. 28, 2017

Sept. 28, 2017

We are seeking a postdoctoral fellow to join an NIH/NSF funded interdisciplinary project that includes Joshua Gold (University of Pennsylvania), Krešo Josić (University of Houston), and Zack Kilpatrick (University of Colorado, Boulder). Our aim is to understand how the brain accumulates evidence in dynamic environments. The project is guided by the overriding hypothesis that brain networks involved in decision-making computations incorporate learned expectations of the environment to implement adaptive decision-making. We seek a candidate who can work at the interface of experimental, computational, and theoretical neuroscience. As part of an interdisciplinary team, The candidate will develop models of neural circuits that approximate normative evidence accumulation in dynamic environments. The candidate will also help to validate these models, using behavioral data from humans and neural recordings from primates performing dynamic decision tasks. For further information please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)colorado.edu <mailto:zpkilpat@colorado.edu>)

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Winter School on Deterministic & Stochastic Models in Neuroscience in Toulouse: December 11 to 15, 2017
by Zachary Kilpatrick Sept. 28, 2017

Sept. 28, 2017

We are glad to announce that from the 11th to the 15th of December 2017 will take place a Winter School on Deterministic and Stochastic Models in Neuroscience at the Institut de Mathématiques de Toulouse in France. The main objective of this event is to organise a winter school around stochastic and deterministic models arising in neuroscience by providing a series of lectures given by internationally reknown speakers for a broad audience (graduate students, PhD students, Postdoctorates, researchers and professors) along with specific research talks. This winter school will showcase some recent and ongoing modeling problems in neuroscience with a strong emphasis on the stochastic and deterministic methods developped to treat them. There will be two lectures dedicated to stochastic methods and two for deterministic ones. The research talks will complement and enlarge these courses with for example topcis on neural field equations, numerical methods or kinetic models of neuronal networks. The webpage of the event can be found here: http://www.cimi.univ-toulouse.fr/mib/en/School-DSMN <http://www.cimi.univ-toulouse.fr/mib/en/School-DSMN> Please note that there will be financial support for a selected number of students (graduate students, PhD students, Post-doctorates) covering local expenses: hotel, metro tickets and food. Students can apply here: http://www.cimi.univ-toulouse.fr/en/registration-winter-school-deterministi… <http://www.cimi.univ-toulouse.fr/en/registration-winter-school-deterministi…> The registration for the winter school is free but mandatory. Lunches and a diner buffet will be covered by the conference. Scientific organizers Patrick Cattiaux & Grégory Faye

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Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong Sept. 28, 2017

Sept. 28, 2017

Dear Colleague, Columbia has announced a search for two faculty positions in theoretical/statistical neuroscience that are described below (also attached). We would appreciate it if you could forward this information to any interested candidates. We will start to evaluate applications on December 1, 2017. Here is a link to the announcement and the site for applying: academicjobs.columbia.edu/applicants/Central?quickFind=65051 Thanks and Best Wishes, Larry Abbott and Liam Paninski *Two Junior Faculty Position in Theoretical / Statistical Neuroscience* The Department of Neuroscience, the Department of Statistics, and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University invite applications for two tenure-track positions at the Assistant or Associate Professor level, to begin in 2018. One position will focus on theoretical neuroscience with an appointment in the Department of Neuroscience. The other position will focus on the application of statistics to neuroscience with an appointment in the Department of Statistics. Both positions will include appointments as well as office and laboratory space in the Center for Theoretical Neuroscience and the Grossman Center of the Statistics of Mind within the Mortimer B. Zuckerman Mind Brain Behavior Institute housed in the Jerome L. Greene Science Center at Columbia. The Zuckerman Institute brings together scientists from diverse backgrounds whose research focuses on brain function, wiring, and development. We are seeking dynamic scientists interested in exploiting this multidisciplinary environment by interacting with Zuckerman Institute faculty as well as with others in the Columbia neuroscience, biological sciences, physical sciences, statistics, and machine learning communities, including the Data Science Institute. Zuckerman Institute faculty will function as full members of their home departments: tenure will be granted by the home department and faculty will contribute to teaching in their home departments and the Zuckerman Institute. Candidates will be expected to show expertise and an ability to lead a research program in theoretical and/or statistical neuroscience. Applicants are expected to have a strong record of scientific achievement and to demonstrate the ability to engage in innovative research and teaching. Applicants should hold a PhD in neuroscience, statistics, or a related area. Applications should be submitted through this link: academicjobs.columbia.edu/applicants/Central?quickFind=65051 The following documents should be uploaded with your application: cover letter, CV, research plan, teaching statement, three letters of reference or a listing of at least three references that can be contacted, and the inclusion of one or two publications. Women and minorities are strongly encouraged to apply. We will start to evaluate applications on December 1, 2017. Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.

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Postdoctoral position in theoretical neuroscience at NYU
by Cristina Savin Sept. 27, 2017

Sept. 27, 2017

Applications are invited for a postdoctoral scholar position in the Savin group at NYU. We are looking for an innovative and enthusiastic researcher with a strong quantitative background (e.g. Math, Physics, Computer Science) and experience in Neuroscience research and/or Machine Learning. The lab uses theoretical tools based on machine learning and statistics to study the neural correlates of learning and memory at the circuit level. For information about recent publications and ongoing projects see: www.cns.nyu.edu/~csavin <http://www.cns.nyu.edu/~csavin> Potential topics include: - probabilistic computation in neural circuits and its neural signatures, with a focus on learning - circuit level models of memory that aim to explain human memory behavior The postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The position is funded for 2 years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu> including: - CV - a statement of research interests - contact details of three people that are familiar with your work

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Postdoctoral position in Virtual Neuroprosthesis
by Emmanuelle Tognoli Sept. 27, 2017

Sept. 27, 2017

http://www.ccs.fau.edu/~tognoli/virtualNeuroprosthesis.html The BioRobotics Lab at Florida Atlantic University (FAU) invites applications for a NIH NIBIB-funded Postdoctoral position to develop a Virtual Neuroprosthesis aimed at providing a sense of touch in amputees and limb-absent people. Candidates should have a PhD in one of the following degrees: mechanical engineering, electrical engineering, biomedical engineering, bioengineering or related, with interest and/or experience in transdisciplinary work at the intersection of robotic hands, biology, and biomedical systems. Prior experience in the neural field will be considered an advantage, though not a necessity. Underrepresented minorities and women are warmly encouraged to apply. The postdoctoral researcher will be co-advised across the department of Mechanical Engineering and the Center for Complex Systems & Brain Sciences through an interdisciplinary team whose expertise spans Robotics, Microfluidics, Behavioral and Clinical Neuroscience and Orthopedic Surgery. The position will be for one year with a possibility of extension based on performance. Salary will be commensurate with experience and qualifications. Review of applications will begin immediately and continue until the position is filled. The application should include: (1) a cover letter with research interests and experiences, (2) a CV, (3) names and contact information for three professional references. Qualified candidates should send contact: tognoli(a)ccs.fau.edu -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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PostDoctoral Position at the LMU (Munich) : dissection of functional cortical network dynamics
by Anton Sirota Sept. 27, 2017

Sept. 27, 2017

*Post-Doctoral* position is available *immediately* at the laboratory of Prof. Anton Sirota at the Ludwig-Maximilians University München (Germany) for the research project that is part of international interdisciplinary collaborative research consortium BrainCom (http://www.braincom-project.eu) The goal of the project is to identify decoding capacity of the network dynamics across cortical circuits derived from the multichannel surface and depth cortical field potential recordings for applications to neuroprosthetics. As a corollary, we aim to develop, for the first time, experimentally-derived circuit-level forward model for the depth and surface cortical field potentials. The project will combine extracellular recordings using newly-developed very large scale high density multichannel arrays with optogenetic circuit-specific manipulation and quantitative behavior analysis in rodents, as well as novel analytical approaches. Project will be integrated into diverse and innovative research program of the Sirota lab (http://cogneuro.bio.lmu.de) Our laboratory is part of Bernstein Centre for Computational Neuroscience Munich (http://www.bccn-munich.de) Munich Cluster for Systems Neurology (http://www.synergy-munich.de) and the Graduate School of Systemic Neurosciences (http://www.gsn.uni-muenchen.de) Applicants are expected to be highly motivated, hard working, creative and capable of independent, analytical and critical thinking. PhD in neuroscience and a strong background in physics, computer science or engineering are required. Solid experience in in vivo electrophysiology, optogenetics and computational neuroscience is highly desirable. Strong quantitative and technical skills are a must. Good knowledge of signal processing and machine learning is a plus. Proficiency in English and good written and oral communication skills are a prerequisite. Good social and teamwork, as well as excellent organizational skills, are expected. Candidates are expected to have first author peer-reviewed publication record. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension.Candidate selection will be open until the position is filled. LMU Munich is an equal opportunity employer. Applications of women and disabled persons, given similar qualification, are preferred. Applications should include a full CV, a 1 page statement of past experience, research interests, and career goals, along with contact information of at least 2 referees. Please, send your application electronically as a single PDF file to Dr Anton Sirota at sirota(a)bio.lmu.de

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Postdoctoral positions in theoretical neuroscience
by Brent Doiron Sept. 27, 2017

Sept. 27, 2017

The Doiron group at the University of Pittsburgh (www.math.pitt.edu/~bdoiron) is currently seeking up to two postdoctoral fellows to work on cutting edge problems in theoretical neuroscience. Research topics include: 1) The genesis and consequences of neuronal variability in cortical networks 2) Biologically realistic modeling of assembly formation in cortical circuits 3) How learning and memory impact population codes All projects will involve heavy collaboration with several prominent experimental groups (primate and rodent) both in Pittsburgh as well as abroad. The positions are 3-year terms (contingent upon satisfactory progress) with competitive salary and benefits packages offered by the University of Pittsburgh. The successful candidate will join the Mathematics department at the University of Pittsburgh (www.math.pitt.edu) and will have strong ties to the Center for the Neural Basis of Cognition in Pittsburgh (http://www.cnbc.cmu.edu) Candidates should have a Ph.D. in computational neuroscience, mathematics, physics, or engineering and have an excellent track record of scholarship. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested persons should send their CV, a cover letter stating research interests and career goals, and names and contact information of two references to bdoiron(a)pitt.edu . The competition will remain open until the positions are filled. Best Brent -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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Job Announcement: Computational Neuroscience RA
by Stacie Warren Sept. 26, 2017

Sept. 26, 2017

Dear Colleagues, A Computational Neuroscience Research Assistant position is currently available at Palo Alto University to support the Clinical Cognitive and Affective Neuroscience Programs directed by Stacie L. Warren, PhD and Tilman Schulte, PhD. This is an exciting opportunity to work on a range of cognitive and affective studies that focus on executive function, emotion regulation, stress responsivity, reward processing, and aging on neural circuitry. Populations of interest include healthy adults, adults with or at risk for developing psychopathology, and neurological disorders. Opportunities to develop and apply novel data analysis techniques, to co-author research publications, and to assist with similar studies in children through a partnership with Stanford University are also available. Primary Responsibilities: Developing software/scripts to implement algorithms for data quality control, preprocessing, analysis, and management. Developing and implementing statistical/mathematical modeling (e.g., machine learning algorithms) to characterize high-dimensional datasets. Assisting with analyzing neuroimaging research data using neuroimaging-specific programs and/or software (e.g., FSL, Freesurfer, SPM, AFNI). Qualifications: BA/BS in a relevant field by the time of appointment. Proficiency in programming (e.g., Matlab, Python, C/C++, java) and shell scripting. Proficiency with Linux OS and file system. Experience with any of the following: signal and image processing, machine learning, statistical/mathematical modeling. Excellent organizational and interpersonal communication skills are required. Strong background in biomedical engineering, computer science, applied mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Experience in neuroimaging data analysis is desired. A two-year commitment is required. This is a full-time position with a competitive salary and benefits. To apply, send a CV, a cover letter stating your research interests and career goals, and contact information for three references to swarren(a)paloaltou.edu. Review of applications will begin immediately. -- Stacie L. Warren, Ph.D. Assistant Professor Clinical Psychology Ph.D. Program Palo Alto University 1791 Arastradero Rd. Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

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Postdoctoral positions in neural coding - IIT Rovereto, Italy
by Stefano Panzeri Sept. 26, 2017

Sept. 26, 2017

We are seeking candidates for up to three postdoctoral position in computational neuroscience in the Neural Computation Laboratory at the IIT ( http://cncs.iit.it/labs/neural-computation ) directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and located in Rovereto (Trento), Italy. This laboratory aims to crack the neural code using neural network modeling and computational analyses of neurophysiological experiments. The laboratory offers a range of strongly interdisciplinary expertise in computational neuroscience, including information theory and other types of advanced single-trial neural analyses, advanced spectral analysis, and biophysically plausible neural network modeling. The successful candidate will develop and use tools for the analysis of large-scale simultaneous recordings of the spiking activity of cells in the cortex to understand how populations of neurons carry information. The successful candidate would have the opportunity to benefit from an extensive set of existing collaborations with leading neurophysiological laboratories, including those of Nikos Logothetis at Max Planck Tubingen (collaborating on oscillations, sensory information coding and neuromodulation), Tommaso Fellin at IIT (collaborating on Optogenetics, Neurophysiology and Neural coding), Mathew Diamond at SISSA (collaborating on the behavioral impact of information carried by spike timing), and Christopher Harvey at Harvard Medical School (collaborating on neural population dynamics and decision making). We are willing to consider candidates interested in any of the aspects of neural coding of interest to the laboratory. Candidates must hold a PhD in a numerate scientific discipline. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For reference to recent work of the lab please see : Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Besserve M, et al (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus- modulated information transfer. PLoS Biology 13(9): e1002257 The formal deadline for applications is Oct 15th 2017. However, interested candidates are advised to contact informally Stefano Panzeri ( stefano.panzeri(a)iit.it) *as soon as possible*. The formal application should be sent by email to selezioni(a)iit.it and to Stefano Panzeri (*stefano.panzeri(a)iit.it) <stefano.panzeri(a)iit.it)>*. The formal application should contain the applicant’s CV, a brief statement of research interests, and names and email addresses of 2 or 3 referees. Thanks Stefano Panzeri

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postdoctoral positions in brain-inspired computing at Sandia National Laboratories
by Chance, Frances S. Sept. 25, 2017

Sept. 25, 2017

**apologies for the multiple emails from Sandia – this is an advertisement for a separate postdoctoral position than the computational neuroscience postdoc that was advertised last week. I’m very excited to see the neuroscience community at Sandia grow - I think a number of persons on this list have appropriate backgrounds for either position and would encourage those persons to apply to both. Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on state-of-the-art computational and mathematical approaches and applications for brain-inspired computing. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include developing neural models and novel adaptive machine learning algorithms, as well as applying machine learning to develop new neuromorphic computing approaches. Some information on Sandia's neural-inspired computing research can be found at http://neuroscience.sandia.gov/. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter "658203" into the search box to locate this posting. For questions please contact William Severa (wmsever(a)sandia.gov<mailto:wmsever@sandia.gov<mailto:wmsever@sandia.gov%3cmailto:wmsever@sandia.gov>>) or Craig Vineyard (cmviney(a)sandia.gov<mailto:cmviney@sandia.gov<mailto:cmviney@sandia.gov%3cmailto:cmviney@sandia.gov>>). Additionally, we also encourage potential applicants to consider several of Sandia's laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_…) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowshi…) While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months.

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Research Associate in Functional Brain Mapping
by Dheeraj Rathee Sept. 25, 2017

Sept. 25, 2017

*Dear All,* *Research Associate in Functional Brain Mapping * Applications are invited for a Post-Doctoral Research Associate (PDRA) in functional brain mapping (FBM) to work on a project aimed at discovering neuromarkers that facilitate stratification of patients with Alzheimer´s disease. The position is currently for 2 years, with possibility for further extension subject to securing funder’s approval. *Ref*( http://www.jobs.ac.uk/job/BEA525/research-associate-in-functional-brain-map… ) : 2752/ 1672326 *Location:* Ulster University, Magee campus, Derry~Londonderry, Northern Ireland, UK. *Salary*: £27,300 to £40,015 *Closing Date*: 4th October 2017 *Duties: *The successful candidate will use MEG data recorded during cognitive tasks, stimulations, and resting state protocols to explore functional connectivity and other appropriate measures for characterizing individuals with different stages of AD and detecting individuals at the risk of developing AD. S/he will also develop and evaluate methods for assessing treatment effects on individuals with AD in collaboration with industry. *Northern Ireland Functional Brain Mapping (NIFBM) facility: *The NIFBM is located at the Intelligent Systems Research Centre ( https://www.ulster.ac.uk/research/institutes/computer-science/groups/intell… ) of Ulster University, Magee campus, Derry~Londonderry. It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing, Engineering and the Built Environment and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University. *Eligibility Requirements: *An eligible candidate should have a degree in Computing Science, Electronic Engineering, Physics, or a closely related discipline, or a higher degree in the same or related subjects. Applicants with other relevant degrees e.g. medicine, psychology, neuroscience or biomedical sciences may also be considered, subject to demonstration of substantial neuroimaging expertise. A PhD degree in an area relevant to the post is also an essential requirement. It is also required that a candidate: - Has extensive hands-on EEG/MEG experience including protocol design, setting up experiments and stimulations, and data acquisition; - Has strong skills and expertise in EEG/MEG analysis using modern tools such as Fieldtrip, SPM, MNE, and/or Brainstorm; - Has research track record in cognitive or clinical neuroscience supported by at least two high quality journal publications suitable for submission in to UK’s Research Excellence Framework (REF); - Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants. Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at: http://www.jobs.ac.uk/job/BEA525/research-associate-in-functional-brain-map… For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM facility. E-mail: g.prasad(a)ulster.ac.uk, Phone: 028 71675645. -------------------------------------------------------- [image: Ulster University] <http://www.ulster.ac.uk/> *Prof. Girijesh Prasad*, Professor of Intelligent Systems, Director, Northern Ireland Functional Brain Mapping facility for MEG studies, Intelligent Systems Research Centre, School of Computing & Intelligent Systems, Faculty of Computing & Engineering, Ulster University, Magee campus, Derry~ Londonderry BT48 7JL, N. Ireland, UK. *T:* +44 - (0)28 71 - 675645, 675409 *E:* g.prasad(a)ulster.ac.uk *W:* https://www.ulster.ac.uk/staff/g.prasad.html https://www.ulster.ac.uk/research/institutes/computer-science/groups/intell… *--------------------------* *Thanks & Regards* *Dheeraj Rathee* PhD Student Intelligent Systems Research Centre | Faculty of Computing and Engineering Ulster University (Magee Campus ) Northland Road, Derry Northern Ireland, UK BT 48 7JL Email Id: dheeraj.rathee(a)gmail.com | rathee-d(a)email.ulster.ac.uk Contact : +447459549514 Skype : dheeraj.rathee || Research Gate <https://www.researchgate.net/profile/Dheeraj_Rathee> || LinkedIn <https://in.linkedin.com/pub/dheeraj-rathee/97/162/2a8?domainCountryName=Ind…> *A 'Peaceful' Mind is a 'Productive' Mind. * *CONFIDENTIALITY NOTE : The information transmitted, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, re-transmission, dissemination or other use of, or taking of any action in reliance upon this information by person(s) or entities other than the intended recipient(s) is prohibited. If you have received this mail in error , please notify the sender and destroy any copies of the information. * * *************END OF DISCLAIMER*************** *

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Fully funded PhD student positions at IMPRS Brain and Behavior Bonn/Florida
by Jakob Macke Sept. 25, 2017

Sept. 25, 2017

The INTERNATIONAL MAX PLANCK RESEARCH SCHOOL (IMPRS) FOR BRAIN AND BEHAVIOR is a transatlantic collaboration between the University of Bonn and the Max Planck associated Center for Advanced European Science and Research (caesar) along with the USA partners Florida Atlantic University and the Max Planck Florida Institute for Neuroscience (MPFI). We seek to fill at least 15 fully funded PhD student positions - NEUROSCIENCE OUR SCHOOL: The first of its kind to unite two Max Planck Institutes (caesar and MPFI) on both sides of the Atlantic, and their university partners (Bonn University and FAU): the IMPRS FOR BRAIN AND BEHAVIOR offers a competitive, English language, interdisciplinary, world-class PhD training and research program in the neurosciences. OUR RESEARCH: IMPRS for Brain and Behavior research projects address how sensory information is encoded in neural circuits and is transformed ultimately to behavior. This research ranges from understanding molecular signaling cascades in spines during learning to understanding how sensory and motor circuits are activated in the awake behaving animal. THE POSITIONS: More than 35 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. YOUR PROFILE: Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Master’s degree (or equivalent) in biology, chemistry, physics, mathematics, computer science, engineering, or other relevant subject. Truly superior bachelor students may be considered. Fluency in written and spoken English. OUR OFFER: Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for 3 years (extension possible) and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Positions must be started not later than October 1, 2018. YOUR APPLICATION: Apply online at: http://www.imprs-brain-behavior.mpg.de by the December 1, 2017 deadline. Only applications submitted through the online portal will be considered! Short-listed candidates will be interviewed in March 12-13, 2018. CONTACT: Denise Butler, Coordinator (IMPRS.info(a)caesar.de)

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Several postdoctoral research positions in Statistical Neuroscience
by xaq pitkow Sept. 20, 2017

Sept. 20, 2017

POSITION: We seek several highly motivated postdoctoral research fellows for a collaborative team project building statistical tools for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join principal investigators and theorists Krešimir Josić, Genevera Allen, Xaq Pitkow, Ankit Patel, and Robert Rosenbaum. The team will interact closely with experimentalists including co-Investigator Andreas Tolias and several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

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AMCOS save the date
by AMCOS Conference Sept. 20, 2017

Sept. 20, 2017

SAVE THE DATE *AMCOS –** Analysis and Modeling of Complex Oscillatory Systems* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying *tutorials* by leading experts will interactively introduce the different conference themes. Do you want to present your work? *Registration and abstract submission opens October 15, 2017*. More info at amcosconference.com. *Date and Venue* Tutorials: March 19, 2018 Conference: March 20 - 23, 2018 PRBB <http://www.prbb.org/>, Parc de Recerca Biomèdica de Barcelona *List of speakers* (*TBC) - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Alain Destexhe*, - Albert Díaz-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Leon Glass, - Sonja Grün, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao*, - Diego Pazó, - Juan G. Restrepo, - Alex Roxin, - Tilo Schwalger*, - Damián H. Zanette. *Topics covered* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *Tutorials* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. *Organizers* The doctoral students (Early Stage Researchers <http://www.uni-potsdam.de/cosmos-itn/people/early-stage-researchers-esrs/>) of the H2020 Marie Curie project COSMOS <http://www.uni-potsdam.de/cosmos-itn/> . For further information see amcosconference.com or contact us via e-mail < amcosconference(a)upf.edu>. Please forward to anyone interested.

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postdoctoral positions in computational neuroscience at Sandia National Laboratories
by Chance, Frances S. Sept. 19, 2017

Sept. 19, 2017

Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on understanding neural computation at the circuit level. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include computational models of retina, visual cortex (or the neural circuitry underlying perception), and the hippocampus. More information on Sandia’s neuroscience research can be found at http://neuroscience.sandia.gov/. We are also encouraging potential applicants to look at several of Sandia’s laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_…) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowshi…) While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter “658202” into the search box to locate this posting. For questions please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>).

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post-doc positions to work on integrated information theory (IIT) with Prof. Giulio Tononi at University of Wisconsin-Madison
by Larissa Albantakis Sept. 19, 2017

Sept. 19, 2017

*Post-doc position(s) to work on Integrated Information Theory (IIT) * Prof. Giulio Tononi, University of Wisconsin, Madison Several postdoctoral positions are available at the Wisconsin Institute for Sleep and Consciousness in the laboratory of Prof. Giulio Tononi to study complex systems within the framework of integrated information theory (IIT). Immediate funding is available for a range of projects including the foundational development of IIT’s mathematical framework, the development of practical measures of integrated information, and their applications to complex systems (biological and artificial). *Required:* - Strong training in an analytically rigorous discipline such as theoretical or computational biology/neuroscience, physics, mathematics, computer science, or engineering - Programming experience (knowledge of MATLAB, Python, and/or C++ is of advantage) * Preferred:* - Experience in information theory and complex systems - Interest in the philosophy of causation Appointments are renewable from year to year for up to three years, starting as soon as possible or until the positions are filled. Postdoc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement (500 words maximum) describing their research interests and potential role within the lab, and email addresses and phone numbers of three references to: Giulio Tononi, MD, PhD (gtononi(a)wisc.edu) Note that generic applications will not be considered. To demonstrate a real interest in IIT, we strongly recommend applicants calculate the Φ value of a small network—three fully connected XOR logic gates, without self-loops, in state 0, 0, 0 (all off)—using the IIT online interface and include the result in the application email. For more information, see http://integratedinformationtheory.org/, or contact Larissa Albantakis, PhD (albantakis(a)wisc.edu) or William Marshall, PhD (wmarshall3(a)wisc.edu) -- Larissa Albantakis, PhD Department of Psychiatry University of Wisconsin 6001 Research Park Blvd Madison, WI 53719

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Postdoctoral position (Mathematical Neuroscience) at QIMRB, Brisbane Australia
by Matthew Aburn Sept. 19, 2017

Sept. 19, 2017

Mathematical Neuroscience Research Fellow (full time 3 year appointment) - Innovative biomedical modelling - Attractive salary packaging & superannuation options This research fellow will pursue large-scale computational modelling and simulation of brain activity, and innovative analyses of time series and neuroimaging data, with particular focus on epilepsy. *Responsibilities* - You will contribute to developing and analysing new mathematical models of large-scale brain activity, including both biophysical neural mass models and networks of non-linear oscillators. - Simulate computational models on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in analysis of non-linear dynamical systems, particularly neural mass or neural field models or coupled non-linear oscillators; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

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Postdoctoral position (Bayesian Computation) at QIMRB, Brisbane Australia
by Matthew Aburn Sept. 19, 2017

Sept. 19, 2017

Bayesian Computation Research Fellow (full time 3 year appointment) - Cutting edge data science - Attractive salary packaging & superannuation options This research fellow will develop new systems for model selection and model-based prediction, combining large data sets from patient neuroimaging and intracranial recordings, with biophysical forward models of brain dynamics. *Responsibilities* - You will contribute to the design of systems for Bayesian inference on large data sets, to perform model selection, parameter estimation, data assimilation and prediction using forward models of brain dynamics. - Implement these methods on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research, including an application to diagnosis and treatment of epilepsy. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, statistics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; and evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in applying computational Bayesian methods such as Sequential Monte Carlo, MCMC, Variational Bayes; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

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University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex
by Tim Murphy Sept. 15, 2017

Sept. 15, 2017

University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex. The Murphy lab at the University of British Columbia is looking for both graduate students and postdoctoral fellows to join a dynamic research team focused on the function of mouse cortex in both normal brain as well as models of stroke and neuropsychiatric disorders. <http://www.neuroscience.ubc.ca/faculty/murphy.html> http://www.neuroscience.ubc.ca/faculty/murphy.html Applicants should have experience in quantitative methods and computer programming and/or behavioral neuroscience. Software systems include both data acquisition and analysis using Python or/and Matlab. Current projects evolve around automated brain imaging/interventions using mouse home cages <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/. The lab has a fully equipped maker space with a 3D printer and electronics and other hardware fabrication facilities. Future work includes integration of behavioral tasks, including go-, no-go- and fine motor control with automated brain imaging and optogenetic stimulation or inhibition. Projects are focused around two major disease areas, which include stroke and mouse models of neuropsychiatric disorders. The laboratory is part of the UBC Centre for Brain Health and the Graduate program in Neuroscience. These entities form a vibrant research community. Applicants are encouraged to apply directly to Tim Murphy and after an initial application are expected to include 3 letters of reference plus an undergraduate and graduate transcript. Salary and stipends are consistent with Canadian granting standards. Please write: <mailto:thmurphy@mail.ubc.ca> thmurphy(a)mail.ubc.ca Tim Murphy, PhD Professor Kinsmen Lab, Dept. of Psychiatry University of British Columbia 2255 Wesbrook Mall Detwiller Pavilion Rm. 4N1 Vancouver, B.C. V6T 1Z3 Canada 604-822-0705 office

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Postdoctoral fellowship in human intracranial electrophysiology: Cedars-Sinai Medical Center and California Institute of Technology
by Ueli Rutishauser Sept. 15, 2017

Sept. 15, 2017

*** Apologies for multiple postings*** A postdoctoral position focused on investigating the neural mechanisms of learning and memory is available in the Laboratory of Ueli Rutishauser at Cedars-Sinai Medical Center and Caltech. The lab is broadly interested in human memory and decision making. We focus on understanding how new long-term memories are formed, how existing memories are retrieved to make choices, how memories for social stimuli such as faces are formed, and on utilizing this knowledge to develop new treatments for memory disorders. We utilize a combination of in-vivo electrophysiology (single-neuron and local field potential recordings), neuroimaging, computational and behavioral approaches. The focus of this project is on single-neuron recordings in epilepsy patients to investigate the role of theta-oscillations in coordinating activity during memory-based decisions. The applicant will join a vibrant and collaborative interdisciplinary research team consisting of investigators at both Cedars-Sinai Medical Center and the California Institute of Technology. We provide ample opportunity for training with state-of-the art equipment, facilities, analytical methods, and experimental techniques. Our work is funded by the NSF, McKnight Endowment fund, and NIH, including a newly established NIH BRAIN consortium between Cedars-Sinai/Caltech (Rutishauser, Mamelak, Adolphs), University of Toronto (Valiante), Johns Hopkins University (Anderson), and Harvard/Childrens (Kreiman). This provides ample opportunity to work with large-scale single-neuron datasets to test model predictions. This position is based at Cedars-Sinai in Los Angeles. Candidates should have a recent PhD in neuroscience or related field with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, and statistics skills are required. Previous electrophysiology experience is preferred. Excellent written and oral English communication skills are required. Previous human intracranial EEG and/or macaque electrophysiology experience is a strength. The position is available as early as Nov 1st 2017, with a competitive salary and benefits package commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Cedars-Sinai is an equal opportunity employer. Applicants should send a CV, brief statement of research interests, and contact information for 2-3 references to Ueli Rutishauser at rutishauseru(a)csmc.edu. Information about the lab and a list of publications can be found at www.rutishauserlab.org . Applications will be reviewed on an ongoing basis. -- Ueli Rutishauser, Ph.D. http://rutishauserlab.org/

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Open position: clinical data manager, Marseille
by Irene Yujnovsky Sept. 14, 2017

Sept. 14, 2017

> > Clinical data manager for national consortium on epilepsy surgery - Aix-Marseille Université > Marseille, FRANCE > > > A position for an experienced clinical data manager is open to create and maintain an epileptic patient database including registration, normalization and security issues and to ensure the communication with the key partners in the academic, clinical and industry sectors with the aim of generating individual Virtual Patient models using The Virtual Brain (TVB) platform as framework (see http://www.thevirtualbrain.org) This database will be generated in the context of the EPINOV (Improving EPilepsy surgery management and progNOsis using Virtual brain technology) project led by Professor Fabrice Bartolomei (http://fr.ap-hm.fr/service/neurophysiologie-clinique-hopital-timone) funded by the RHU programme. > > Qualification > > Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. They should have a degree in biomedical engineering, medical informatics or equivalent level of knowledge. Candidates must possess a solid experience in management of clinical and/or research data and programming (C, MATLAB, Python). Experience with neuroimaging data (stereotactic EEG, MRI, DTI, MEG, EEG), clinical trials, neuroinformatics and its standard formats (for instance DICOM, XNAT, BIDS), machine learning and Big Data would be considered an advantage. > > The EPINOV project and consortium > We are a national consortium composed of clinicians, researchers and industrial partners interested in improving epilepsy surgical prognosis using large–scale brain modelling based on individual epileptic patient data. A prospective, randomized multicenter trial will be conducted with subjects suffering from drug-resistant epilepsy. The clinical trial will systematically evaluate the added value of personalized brain modelling in the surgical decision making. > > Terms of salary and employment > Salary will depend on the diploma and previous experience. Operating languages in the consortium are both French and English. > > Applications including a cover letter, curriculum vitae and the names of two referees should be sent by October 31st 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr > > --

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[jobs] Post-doctoral Position in Brain- and biosignal-based speech recognition @ the Italian Institute of Technology (IIT)
by Alessandro D'Ausilio Sept. 14, 2017

Sept. 14, 2017

The IIT (Italian Institute of Technology) Centre for Translational Neurophysiology (CTNSC) is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition. Please find more information here: https://www.iit.it/careers/openings/opening/515-postdoctoral-position-in-br… Deadline: September 25th

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SCiNDU abstract deadline Oct 1st
by Geoffrey Goodhill Sept. 14, 2017

Sept. 14, 2017

A reminder that the SCiNDU abstract deadline is October 1st: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) Joint meeting with the 2017 QBI Plasticity Workshop and the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience Dec 13-15th 2017 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Polina Anikeeva (MIT) Bernard Balleine (UNSW) Daphne Bavelier (U Geneva) John Bekkers (ANU) Kwabena Boahen (Stanford) Tobias Bonhoeffer (Max Planck Martinsried) Rosa Cossart (INMED Marseille) Kenji Doya (Okinawa) Adrienne Fairhall (U Washington) Marta Garrido (U Queensland) Alex Pouget (U Geneva) Pankaj Sah (U Queensland) Andre van Schaik (Western Sydney) Rafael Yuste (Columbia) Abstract submissions for poster presentation are due by Oct 1st. Some submissions will be selected for oral presentation. See http://www.qbi.uq.edu.au/scindu for more details. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden
by Arvind Kumar Sept. 13, 2017

Sept. 13, 2017

*Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden* We invite applications for a joint PhD position in the groups of Dr. Arvind Kumar (KTH Royal Institute of Technology, Stockholm, Sweden) and Dr. Dinos Meletis (Karolinska Institute, Stockholm, Sweden) to study the dynamics of neuronal ensembles in mouse striatum. *Brief** description of the project* Striatum is the main input of the basal ganglia and plays an important role in a diversity of cognitive and motor functions. The goal of the project is to understand how the population activity of striatal neurons encodes external stimulus and behavioral states of the animal. To this end the student will record, analyse and model the striatal activity in different conditions. *Qualifications* We are looking for a student with a MSc (or equivalent) degree in Physics or Engineering and a strong background in data analysis and/or analysis and modeling of physical systems. Previous knowledge of neuroscience would be useful but not necessary. *Appointment* This will be a joint position at KTH and KI Stockholm, Sweden. The employment as a Phd student is time limited following the regulations for Ph.D. employment in the Higher Education Ordinance (~ 5 years with 80% PhD studies and 20% department service including teaching) of Sweden. *About the research groups* The PhD student will work under the supervision of Dr. Arvind Kumar and Dr. Dinos Meletis. *Dr. Kumar's* research group is based at the *KTH Royal Institute of Technology, Stockholm. *He uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. His lab is developing mathematical models of brain diseases to create a theoretical framework to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in diseases (e.g. Parkinson's diseases, epilepsy, anxiety). Relevant to the project, in last few years they have developed computational models of the striatum and basal ganglia to understand the role of input correlation, emergence of neuronal assemblies and oscillations. More information about Kumar lab *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* *Dr. Meletis'* lab is based at the *Karolinska Institute, Stockholm*. The lab studies neural circuits that are responsible for generating motivated behaviors, for example the basal ganglia and the serotonin system, and how dysfunction in the activity of neuron subtypes can lead to reward disorders. The lab has established experimental methods to perform large-scale in vivo imaging of the activity of neuron subtypes during behavior in freely moving mice and methods to precisely perturb the activity of genetically defined neurons (optogenetics). Relevant to the project, the lab is investigating the distinct role of striatal neuron subtypes in learning and representing reward and punishments, with the aim to develop an understanding of the neural and ensemble computations that underlie behavior. More information about Meletis lab http://meletislab.org/ *Application* The application should include the following documents: 1. CV including your relevant professional experience and knowledge. 2. Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages. 3. Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long. 4. Weblink of representative publications or technical reports 5. Contact information for two reference persons. We reserve us the right to contact references only for shortlisted candidates. Send the above info as a single zip file to Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *Application deadline: 30 Sept. 2017* *For more info. contact* Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* Dr. Dinos Meletis: *Dinos.Meletis(a)ki.se <Dinos.Meletis(a)ki.se>* *http://meletislab.org/ <http://meletislab.org/>* -- Dr. Arvind Kumar Computational Biology, School of Computer Science and Communication KTH, Royal Institute of Technology, Stockholm, Sweden. Adjunct Faculty at: Bernstein Center Freiburg, Neurobiology and Biophysics, Faculty of Biology University of Freiburg, Germany http://www.bcf.uni-freiburg.de/people/details/kumar cancer blog: http://theoryofcancer.blogspot.com cricket blog: http://rightarmoverfast.blogspot.com

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Open post-doctoral position in Theoretical Neuroscience - INS, Marseille, France
by Irene Yujnovsky Sept. 13, 2017

Sept. 13, 2017

Post-doctoral position in the Theoretical Neuroscience Group - INS, Marseille, France *Summary* The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project EPINOV to work on statistical & dynamical modeling of seizure propagation using personalized brain modeling and neuroinformatics approaches on a cohort of hundreds of epilepsy patients. EPINOV is one of 10 large-scale projects selected in the 3rd round of French scientific excellence program «RHU» managed by the National Research Agency (ANR). The aim of the EPINOV project is to significantly improve presurgical interpretation, guide surgical strategies and translate computational tools into clinical routine of personalized medicine. We use individual MRI scans to reconstruct brain anatomy and connectivity, which are combined with a neural mass model and fit using the Bayesian modeling software Stan to individuals’ intracranial electrophysiology data (stereotactic EEG), validated by clinical data from other modalities, such as MEG, fMRI, and semiology. *Responsibilities* • Scale up statistical models “vertically” to handle more data and higher resolution anatomy, using model comparison techniques to evaluate the advantage of different model structures • Scale out models “horizontally”, performing coherent, reliable inference across a large cohort of patients using dedicated, on-site HPC resources • Develop routines to evaluate and visualize inference results, making them amenable to clinical interpretation • Integrate developed code into existing code bases and pipelines *Qualification*** • Highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. • PhD degree in computational neuroscience, mathematical or statistical modeling, machine learning or equivalent level of knowledge. • Significant, demonstrable experience in data fitting (Bayesian modeling, Dynamical Causal Modeling (DCM), Monte Carlo, etc) will be highly appreciated. • Experience with working in a Linux/HPC environment • Programming in a numerically oriented language (R, Python, MATLAB) • Familiarity with Git, unit testing, Docker/VMs is a plus *The Theoretical Neuroscience group*** We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment*** A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30th 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr <mailto:irene.yujnovsky@univ-amu.fr> More information about the INS and the Theoretical Neurosciences Group can be found at: http://ins.univ-amu.fr <http://ins.univ-amu.fr/> --

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Sept. 12, 2017

Sept. 12, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 – 19, 2018 in Sanur – Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) 30 September 2017 * Tutorial and workshop proposals (Decision) 7 October 2017 * Paper submission 1 December 2017 * Decision notification 8 January 2018 * Camera-ready submission 2 February 2018 * Conference 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Valeri Mladenov, Technical University of Sofia, Bulgaria Petia Koprinkova-Hristova, Bulgarian Academy of Sciences, Bulgaria Petia Georgieva, University of Aveiro, Portugal Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za’in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA

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Postdoc Position in ENIMGA-Sleep Working Group
by Masoud Tahmasian Sept. 12, 2017

Sept. 12, 2017

Postdoc Position in ENIMGA-Sleep Working Group ENIGMA-Sleep Working Group has an opening for a post-doctoral position to study brain structure and function in insomnia. The post is based at the Institute of Medical Science and Technology (IMSAT), Shahid Beheshti University, Tehran, Iran. The Institute has a Sleep Laboratory with wireless polysomnography equipment, access to a 3T MRI scan, High resolution EEG, TMS with Neuronavigation system, Psychophysics labs as well as clinical studies facilities. Title of project: Structural and functional maladaptation in insomnia disorder Supervisior: Dr. Masoud Tahmasian MD PhD, Prof. Mojtaba Zarei MD PhD FRCP(UK) The ENIGMA consortium brings together many researchers to understand brain structure, function, and pathophysiology of disease, based on neuroimaging and genetic data. ENIGMA members are multi-disciplinary scientists from all over the world with research projects on neuroscience, clinical psychiatry, and genetics. The ENIGMA-Sleep Group is a recently launched group lead by Dr. Masoud Tahmasian and Prof. Mojtaba Zarei from the Institute of Medical Science & Technology (IMSAT), Shahid Beheshti University, Tehran, Iran. The collaborating teams from across the globe endeavor to join knowledge, experience and vision to address important questions in sleep physiology and its disorders using cutting edge brain imaging techniques and relating them with clinical and laboratory investigations. IMSAT was approved by the Ministry of Science, Research and Technology, and established in 2016. It is one of the fastest growing multidisciplinary research Institute in Iran with well-trained and experienced faculty members from science, engineering and medicine. Our fields of expertise include medical imaging, image processing, clinical trials, wearable technologies, brain stimulation engineering, auditory technology, control engineering, and biomedical technology. There is a wide range of facilities for research at IMSAT including, but not limited to, MRI, EEG, Polysomnography, and actigraphy. There is also a dedicated high performance server for various data analysis. Eligibility: Applicants must have a PhD degree in medical science, neuroscience or engineering with a minimum of one-year research experience in an overseas University. The funding is only available to Iranian nationals. Duration: One year, with possibility to extend for the second year upon successful progression Salary: The successful applicant will be hired by the University with funding support already secured at the rank of assistant professor. Interested individuals should send their CV to m_tahmasian(a)sbu.ac.ir

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NEURON course at SFN 2017 meeting
by Ted Carnevale Sept. 11, 2017

Sept. 11, 2017

Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience. If you're a lab director trying to decide whether to add computational modeling to your research program, a grad student or postdoc who is just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are, this one-day course is for you! It starts with a practical introduction that reviews basic concepts and presents a workflow for building and using models of cells and networks, and moves on to topics that include how to speed up simulations, using Python with NEURON, and modeling reactive diffusion with the RxD class. For more information and the registration form, see https://www.neuron.yale.edu/neuron/static/courses/dc2017/dc2017.html --Ted

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Lecturer in Computer Science (Biological computation - including computational neuroscience)
by Peter Andras Sept. 11, 2017

Sept. 11, 2017

Lecturer in Computer Science Keele University - School of Computing and Mathematics Salary: £33,943 to £39,324 p.a. Grade 7a Hours: Full Time Contract Type: Permanent Closes: 20th September 2017 Job Ref: KU00000544 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of £134 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at <http://www.keele.ac.uk/> http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of staff in Keele Universitys Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from dynamic and enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science (e.g. software engineering, security, human-computer interaction, biological computation, machine learning, formal methods, distributed systems but not restricted to these particular fields), and who have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The lectureship post is part of continued growth and expansion of computer science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. Candidates will be expected to develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data or ageing research. Details of the research carried out in Computer Science at Keele can be found at: <http://www.keele.ac.uk/scm/research/compsci/> http://www.keele.ac.uk/scm/research/compsci/ The successful candidate will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. For full post details and online application form please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Or follow the link: people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3 d061051EnUQ <https://people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VAC ANCY_ID%3d061051EnUQ&WVID=0493472Nsk&LANG=USA> &WVID=0493472Nsk&LANG=USA Interviews will be held on: 18th October 2017 --- Professor Peter Andras Professor of Computer Science and Informatics Director of Postgraduate Research, Faculty of Natural Sciences Head of Computing Division, School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Web: <http://www.scm.keele.ac.uk/staff/p_andras/> www.scm.keele.ac.uk/staff/p_andras/

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Energy Efficient Neural Code in Individual Neurons and Brain Circuits
by Yu, Yuguo Sept. 11, 2017

Sept. 11, 2017

In collaboration with Frontiers in Neuroscience, section Neuroenergetics, Nutrition and Brain Health, we are organizing a Research Topic titled "Energy Efficient Neural Code in Individual Neurons and Brain Circuits", hosted by Yuguo Yu, Satish Iyengar. As host editor, I would like to encourage you to contribute to this topic. Please find more information about Research Topics below, including the publishing fees that apply. You can also visit the homepage we have created on the Frontiers website, which defines the focus of the topic, and where all published articles will appear. https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_Neu… Please note the submission deadline for this Research Topic: Oct 28, 2017 With your agreement to take part, I would request you submit an abstract in advance of any manuscript submission you choose to make (deadline identified at the homepage above). As I am using the Frontiers system to manage this topic, please first indicate your decision to participate by clicking on one of the following links. AGREE to Participate https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_Acc… DECLINE to Participate https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_Dec… Let me know if you have any questions about my Research Topic. I look forward to hearing from you soon. With best regards, Yuguo Yu Guest Associate Editor, Neuroenergetics, Nutrition and Brain Health www.frontiersin.org<http://www.frontiersin.org/> Frontiers | Peer Reviewed Articles - Open Access Journals<http://www.frontiersin.org/> www.frontiersin.org Open-access publisher of peer-reviewed scientific articles across the entire spectrum of academia. Research network for academics to stay up-to-date with the latest ... ABOUT FRONTIERS RESEARCH TOPICS Founded by scientists in 2007, Frontiers is a community-rooted open-access publisher, driving innovations in peer review, article-level metrics and research networking. The "Frontiers in" journal series hosts 54 journals covering more than 350 academic specialties, with a network of over 200,000 leading researchers worldwide. Frontiers is a registered member of the Open Access Scholarly Publishers Association (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.oaspa.org_member_Fr… ) and was recognized by the ALPSP Award for Innovation in Publishing in 2014. The idea behind a Frontiers Research Topic is to create a comprehensive collection of peer-reviewed articles that address a specific theme of research, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, and more. Please see the relevant journal for a full list of accepted article types. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used as educational material, be sent to foundations that fund your research, to journalists and press agencies, or to your professional network. E-books are free to read and download. Once published, your articles will be free to access for all readers, indexed in relevant repositories, and as an author in Frontiers, you retain the copyright to your own papers and figures. FRONTIERS PUBLISHING FEES Manuscripts accepted for publication are subject to publishing fees, which vary depending on the article type. Research Topic A type articles receive a discount on publishing fees; please see here for a full fee table, and further relevant FAQs: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.frontiersin.org_abo… .=

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Software Development Engineer position on Brain Computer Interfaces at Inria, France
by Maureen Clerc Sept. 8, 2017

Sept. 8, 2017

Dear colleagues, Please take note and circulate the following job offer. With apologies for multiple postings. Maureen Clerc ------------------------------------------------------------------------------------------------------------------------------ S oftware Development Engineer position available at Inria Sophia Antipolis, France Summary Inria Sophia Antipolis is seeking to a fill software development engineer position to work on Brain-Computer Interfaces (BCI). The P300-speller BCI application developed at Inria Sophia Antipolis allows severely disabled patients to communicate using brain activity, measured through electroencephalography (EEG). It has shown excellent performance when tested extensively with 20 patients at Nice CHU. However it still requires some improvements to meet patients' expectations. This project, funded by patient associations, aims to bring BCI out of the lab, and deploy it to its end-users. Responsibilities • Analyze existing software. • Reduce dependencies on third-party libraries. • Automatize installation and calibration. • Study portability onto tablet. • Make application adaptable to users' needs. Qualification • Highly motivated to work on a translational project in Brain Computer Interfaces. • Masters degree in computer science or equivalent degree of knowledge. • Significant, demonstrable experience (at least four years) in C/C++ programming. • Experience with working in a Linux environment. • Familiarity with version management (Git, mercurial), compilers and compiling systems (cmake). • Familiarity with EEG and BCI would be appreciated. • Knowledge of graphical interfaces and visualization (OpenGL, Qt, Gtk) would be appreciated. Work environment Inria is a research institute dedicated to numerical sciences. In Sophia Antipolis (20 km from Nice), the Athena team develops methodology for non-invasive imaging of the Central Nervous System. In particular, it hosts a full-fledged Electroencephalography laboratory and investigates Brain-Computer Interfaces, in the context of the Inria Project-Lab bci-lift. Software development is organized within a development team including other software engineers and researchers, following agile development principles. Terms of salary and employment A 15-month renewable contract will be established. Salary will depend on diploma and experience. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30th 2017 to: Dr. Maureen Clerc at maureen.clerc(a)inria.fr More information about Inria and the Athena team can be found at: https://team.inria.fr/athena/

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Postdoctoral position in Camouflage Pattern Design and Eye-Tracking Experimentation
by Leslie Osborne Sept. 7, 2017

Sept. 7, 2017

Postdoctoral position in Camouflage Pattern Design and Eye-Tracking Experimentation Marine Biological Laboratory, Woods Hole, MA 02543, USA Type: RESEARCH Position: FULL-TIME POST-DOCTORAL SCHOLAR Description: A position for a postdoctoral fellow in computational vision in biological systems is available to study visual camouflage in the Hanlon Lab at MBL, in collaboration with groups at UC Irvine (C. Chubb) and NTHU (C.C. Chiao) and the University of Chicago (S. Palmer and L. Osborne). The goal of the 3-year study is to develop a generative model of successful camouflage patterning and edge design, both at rest and in motion. Camouflage patterns will be inspired by natural animal behaviors, particularly in cephalopods - octopus, cuttlefish, squid – marine fishes, and insects. The postdoc will be involved in the statistical analysis of natural images and artists’ camouflage designs. Our approach is to use gaze tracking during visual search to define metrics of camouflage success and, complementarily, to measure the statistics of image features that draw human gaze. Visual stimuli for search tasks will be taken from natural image and video databases in the Hanlon and Palmer laboratories and artworks created by students at the Rhode Island School of Design. Human gaze tracking data will be collected and analyzed in the Osborne laboratory. The fellow may participate in data collection from live animals and human subjects, but the primary focus will be image and gaze data analysis. Education and Experience: The ideal candidate will have a background in computational analysis or computer vision, and a Ph.D. in computational biology (e.g. neuroscience, cognitive science, animal behavior), physics, computer science, or a related field. Programming experience in MATLAB is highly desirable. Experience in image and video analysis, and programming experience in Python or C, are also desirable. Previous experience in visual psychophysics is not required, but would be helpful. Environment: The Hanlon Laboratory is part of the Eugene Bell Center at the Marine Biology Laboratory. Founded in Woods Hole, Massachusetts in 1888, the MBL is a private, nonprofit institution and an affiliate of the University of Chicago. Utilizing unique and highly tractable marine and aquatic model organisms, high throughput and comparative genetic approaches, novel imaging technologies and the latest advances in data-intensive computational analysis, scientists in the Bell Center, in collaboration with colleagues at the University of Chicago and the Argonne National Laboratory, are providing answers to some of the most fundamental and intriguing questions in biology. The candidate will interact closely with: (i) the team at MBL (the PI and lab personnel); (ii) faculty collaborators at University of Chicago and UC Irvine; (iii) the summer neurobiology and imaging community at MBL; and (iv) art students and faculty at the Rhode Island School of Design. Duration: This position is for 2.5 years. Desired start date is 1 November 2017 or as soon thereafter as feasible. Web link to MBL job listing: https://mbl.simplehire.com/postings/search <https://mbl.simplehire.com/postings/search> Questions: Send inquiries to Roger Hanlon rhanlon(a)mbl.edu <mailto:rhanlon@mbl.edu> Stephanie Palmer sepalmer(a)uchicago.edu <mailto:sepalmer@uchicago.edu> Leslie Osborne osborne(a)uchicago.edu <mailto:osborne@uchicago.edu> Application: The application comprises a cover letter, CV, a 1-2 page description of past research experience, the contact information for 3 references. Follow links at https://mbl.simplehire.com/postings/search <https://mbl.simplehire.com/postings/search> to upload application materials. EEO Statement: MBL supports individuals in reaching their full potential by offering equal employment opportunities and an environment that actively values diversity. MBL complies with all applicable laws concerning hiring and employment practices and is firmly committed to maintaining a workplace free from discrimination by age, ancestry, color, disability, gender, genetic predisposition, national origin, military status, race, religion, or sexual orientation. MBL requires all newly-hired staff to undergo a background check. Background checks are conducted after a conditional offer of employment has been accepted by the applicant. Leslie C. Osborne, Ph.D. Department of Neurobiology Department of Organismal Biology and Anatomy The University of Chicago 947 East 58th St. P415 Chicago IL 60637 osborne(a)uchicago.edu +1 773-834-7989

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Postdoc Position Available - Human Intracranial Electrophysiology
by Woolnough, Oscar Sept. 7, 2017

Sept. 7, 2017

Postdoctoral Research Positions Available One postdoctoral research position is available at the NeuroImaging and Electrophysiology Lab (www.tandonlab.org) in the Department of Neurosurgery at the University of Texas Medical School in Houston. This position is funded by a recently awarded BRAIN Initiative U01 grant for which Dr. Tandon is the PI. The project uses electrocorticographic (ECoG) recordings on a large cohort (n=80) to evaluate psycho-linguistic models of reading and speech production with the goal being to create network level representation of language. Collaborators on the project with whom the post-doc will work closely are Nathan Crone (Hopkins), Greg Hickok (UCI), Stanislas Dehaene (College de France), Xaq Pitkow (Baylor) and Josh Breier (UT Houston). Project Description: This is a close multi center collaboration that brings together investigators with established track records in intracranial EEG (iEEG) recordings, neuroscience of language and computational neuroscience to better understand the uniquely human behavior of reading and producing language. More details about the U01 grant are online at NIH Reporter. The post-doc will benefit from a close interaction with several experts in the fields of reading, semantics, and speech production. Post-doc Responsibilities: The selected individual is expected to be a highly motivated, team player that has the passion to study cognitive processes using direct recordings in humans. He or she will be responsible for 1) optimizing and refining paradigms for use in the project, 2) data collection in the epilepsy monitoring unit and in the MRI scanner, 3) ECoG data analysis using analysis pipelines existent in the lab and via the development of innovative strategies, and 4) data presentation at conferences, manuscript and grant writing. Requirements: The selected individual must have a Ph.D. in one or more of the following - neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis or functional imaging studies of reading or speech production is highly desirable. Crucial is the ability to independently code in either or all of the following – MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professionalism standards, be able to adapt to a changing environment, reorganize schedules dynamically, and work with tight deadlines. The individual must possess the ability to work effectively independently, yet collaborate effectively on projects with multiple investigators. A strong publication record and excellent prior academic credentials are highly desirable. If you are interested, you can email us at nitin.tandon(a)uth.tmc.edu or call us at (713) 500-5475.

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[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems, 14(1), 2017
by Pierre-Yves Oudeyer Sept. 7, 2017

Sept. 7, 2017

Dear colleagues, I am happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence and neuroscience. It is available at: http://goo.gl/dyrg6s Featuring dialog: === "Exploring Robotic Minds by Predictive Coding Principle" == Dialog initiated by Jun Tani with responses from: Andy Clark, Doug Blank, James Marshall, Lisa Meeden, Stephane Doncieux, Giovanni Pezzulo, Martin Butz, Ezgi Kayhan, Johan Kwisthout and Karl Friston == Topic: The idea that the brain is pro-actively making predictions of the future at multiple levels of hierarchy has become a central topic to explain human intelligence and to design general artificial intelligence systems. This dialog discusses whether hierarchical predictive coding enables a paradigm shift in development robotics and AI. In particular, the dialog reviews the importance of various complementary mechanisms to predictive coding, which happen to be right now very actively researched in artificial intelligence: intrinsic motivation and curiosity, multi-goal learning, developmental stages (also called curriculum learning in machine learning), and the role of self-organization. They also underline several major challenges that need to be addressed for general artificial intelligence in autonomous robots, and that current research in deep learning fails to address: 1) the problem of the poverty of stimulus: autonomous robots, like humans, have access to only little data as they have to collect it themselves with severe time and space constraints; 2) the problem of information sampling: which experiments/observations to make to improve one’s world model. Finally, they also discuss the issue of how these mechanisms arise in infants and participate to their development. Call for new dialog: === "One Developmental Cognitive Architecture to Rule Them All?" == Dialog initiated by Matthias Rolf, Lorijn Zaadnoordijk, Johan Kwisthout == This new dialog asks whether and how it would be useful both epistemologically and in practice to aim towards the development of a “standard integrated cognitive architecture”, akin to “standard models” in physics. In par- ticular, they ask this question in the context of understanding development in infants, and of building developmental architectures, thus addressing the issue of architectures that not only learn, but that are adaptive themselves. Those of you interested in reacting to this dialog initiation are welcome to sub- mit a response by November 30th, 2017. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let me remind you that all issues of the newsletter are all open-access and available at: http://icdl-epirob.org/cdsnl I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Chair of the IEEE CIS AMD Technical Committee on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau Assistant Editor Inria Mnemosyne team http://fabien.benureau.com

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workshop on high performance computing in neuroscience
by Ted Carnevale Sept. 5, 2017

Sept. 5, 2017

This year the workshop on the Neuroscience Gateway Portal (NSG) will be held on Saturday, Nov. 11, from 9 AM to noon in downtown Washington DC near the convention center, as a satellite to the Society for Neuroscience meeting. This workshop will show you how to use this NSF-supported resource in your computationally- intensive modeling and data analysis projects. It will also feature presentations from neuroscientists on how they are using high performance computing (HPC) resources in their own research. The NSG has a simple, convenient browser-based interface for running simulations and data analysis tasks on HPC hardware, and provides free CPU time. It also has a RESTful interface for programmatic access. Currently installed software includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. The registration deadline for this workshop is Friday Oct. 27, but you should register soon because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html for more information and a link to the registration form. --Ted

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workshop announcement - Experimental and Theoretical Analysis of Cortical Dynamics - Rovereto Italy
by Stefano Panzeri Sept. 5, 2017

Sept. 5, 2017

The HBP Partnering Project SloW Dyn <https://www.flagera.eu/wp-content/uploads/2016/02/FLAG-ERA_JTC2015_Project_…>, a FLAG-ERA <https://www.flagera.eu>Project, in collaboration with the Istituto Italiano di Tecnologia <http://cncs.iit.it/> and in collaboration with the EITN <https://www.eitn.org/> (European Institute of Theoretical Neuroscience, Human Brain Project) are organizing a one day workshop on: *Experimental and Theoretical Analysis of Cortical Dynamics* Location: Istituto Italiano di Tecnologia, Corso Bettini 31, Rovereto, Italy Date and time: Friday September 22nd, 2017, from 9am to 6pm *Abstract:* Brain function is hypothesized to emerge from the concerted context-dependent dynamics of its networks. This workshop explores theoretical and experimental approaches for the analysis of brain dynamics at multiple spatial and temporal scales. *Confirmed speakers*: Ruth Benavides-Piccione, Cajal Institute, Madrid Maurizio Corbetta, University of Padova Egidio D'Angelo, University of Pavia Alain Destexhe CNRS, Paris Tommaso Fellin IIT, Genoa Mathieu Galtier, Rhythm, Paris Alessandro Gozzi, IIT, Rovereto Maurizio Mattia ISS, Rome Ruben Moreno-Bote, UPF, Barcelona Stefano Panzeri IIT, Rovereto Mavi Sanchez-Vives, IDIBAPS, Barcelona Davide Zoccolan, SISSA, Trieste Hosts: Stefano Panzeri and Tommaso Fellin Attendance is free, but prior registration is needed. For registration and more information, please email slowdynconference(a)gmail.com regards Stefano Panzeri

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REMINDER: Computational Neuroscience Job at the Krembil Research Institute
by Frances Skinner Sept. 5, 2017

Sept. 5, 2017

Hello all, Just a reminder about the following Faculty position in Computational Neuroscience (see below). *To ensure consideration, please submit your application by September 11th for the latest.* Thank you. --------- https://www.recruitingsite.com/csbsites/uhncareers/JobDescri ption.asp?SiteID=10031&JobNumber=805761 Job Posting #8045761 Position: Computational Neuroscience Research Scientist Site: Krembil Research Institute/Toronto Western Hospital Department: Research Reports to: Director Status: Permanent Full-time The Krembil Research Institute at the University Health Network in Toronto Canada invites applicants to apply for a Scientist position in the area of Computational Neuroscience. The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. The Krembil is one the principal research institutes of the University Health Network of academic teaching hospitals associated with the University of Toronto; the Krembil is also one of the largest research institutes in Canada focusing on human neurological disease from both a basic science and clinical research perspective. The University Health Network (UHN) is Canada's largest academic medical centre, comprising four major teaching hospitals. Qualified applicants must attach their letter of interest, research plan, resume PDF format to the online application and complete some initial screening questions. The search committee will begin to review applications in September with a potential start date in Winter 2018. Posted Date: June 22, 2017 Closing Date: Until filled UHN thanks all applicants, however, only those selected for an interview will be contacted. UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted. -- Frances Skinner, PhD Krembil Research Institute/UHN and Univ Toronto www.skinnerlab.org

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Postdoctoral Researcher Position
by Avrama Blackwell Sept. 5, 2017

Sept. 5, 2017

The Computational and Experimental Neuroplasticity laboratory (http://krasnow1.gmu.edu/CENlab/avrama.html) of Kim “Avrama” Blackwell at George Mason University invites applications for a Postdoctoral Research position / software engineer beginning Sept 1, 2017. The successful candidate will contribute to ongoing cutting-edge research in computational systems biology & neuroscience by further development of our stochastic reaction-diffusion software, NeuroRD and further development of parameter optimization software. The position involves design and implementation of new features for both softwares, providing technical support to lab members developing NeuroRD models and investigating the role of calcium dynamics and cell signaling pathways in learning and plasticity, and writing journal articles and giving presentations on the new software features. CENlab is an interdisciplinary, dynamic and creative research group at Mason’s Krasnow Institute for Advanced Study, located in northern Virginia (15 miles west of Washington, D.C.). Requirements: Ph.D. in a relevant field (e.g. computer science, physics, bioinformatics, engineering) and at least one publication in reputable journal. Experience in software development (scientific software, python and C++ or JAVA preferred). Expertise with Unix operating systems. Knowledge of stochastic processes. To apply, please send curriculum vitae and cover letter to kblackw1(a)gmu.edu. Position will be filled as soon as a suitable candidate is found. The successful applicant will have office space, a unix computer workstation, and a post-doctoral level salary supplemented by excellent state employee benefits. More information: * NeuroRD website: https://github.com/neurord * Krasnow Institute for Advanced Study: http://krasnow1.gmu.edu * George Mason University: http://www.gmu.edu George Mason University is an innovative, entrepreneurial institution with national distinction in a range of academic fields. Enrollment is 30,000, with students studying in over 150 degree programs at campuses in Arlington, Fairfax, Loudoun and Prince William. George Mason University is an equal opportunity employer encouraging diversity.

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Open position: Research scientist in the field of data analysis
by Orth, Boris Sept. 5, 2017

Sept. 5, 2017

The Jülich Supercomputing Centre (JSC) operates one of the most powerful supercomputing infrastructures in Europe and makes it available to researchers at Forschungszentrum Jülich, in Germany and throughout Europe. The JSC’s “Federated Systems and Data” division develops software for data analysis, data management and access to distributed storage and computing systems. The “Simulation Laboratory Neuroscience” in the “High Performance Computing in Neuroscience” division of JSC provides community-specific support for neuroscientists with respect to complex simulations and data analyses on supercomputers, as well as their methods. Both divisions closely collaborate within the “Helmholtz Analytics Framework”. We are looking to recruit a Research scientist in the field of data analysis Your Job: In many scientific disciplines, the analysis of large data sets plays a crucial role. As part of a team in JSC, you will be working interdisciplinary with scientists from other institutes of Forschungszentrum Jülich, as well as from other Helmholtz Centres, in the areas of Earth System Modelling, Structural Biology, Aerospace, Medical Imaging and Neuroscience. In particular, you will analyse, develop and optimize analysis methods and workflows applied in neuroimaging. On this basis, you will support research groups in sharing their methods and tools, and in deriving generic methods and tools. Your Profile: * A university degree in computer science, mathematics, or a related subject * Profound knowledge and experience in algorithm development * Experience in software development and programming with languages such as Python, C++, R * Knowledge and experience with methods like multivariate statistics, error analysis, machine learning, inference approaches * Interest to collaborate closely with developers and users from academia and industry * Strong proactivity * Good command of spoken and written English and ideally German Ideally, good knowledge of * Scripting languages common in the Unix environment (Bash) * Parallel programming (MPI, OpenMP) * Common programming tools and software distribution systems (e.g., Docker, Easybuild) * Analysis of large neuroimaging datasets as well as the relevant software packages (e.g., FSL, FreeSurfer, MRtrix) Our Offer: * Excellent research and computing infrastructure of one of the largest research centres in Europe, ideally situated between the cities of Cologne, Düsseldorf, and Aachen * A comprehensive further training programme, including English language courses * Flexible working hours and various opportunities to reconcile work and family life * Limited for 3 years with possible longer-term prospects * Full-time position with the option of slightly reduced working hours * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…> via our online recruitment system on our career site, quoting the reference number 2017-194. Contact Human Resource Development and Recruiting Judith Dresen Tel.:+49 2461 61 9700 -- Dr. Boris Orth HPC in Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-9123 Fax +49 2461 61-6656 www.fz-juelich.de/ias/jsc<http://www.fz-juelich.de/ias/jsc> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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ANDA 2018 - G-Node Advanced Neural Data Analysis Course, March 5 - 22, 2018, Jülich, Germany
by Frings, Maren Sept. 5, 2017

Sept. 5, 2017

ANDA 2018 - G-Node Advanced Neural Data Analysis Course March 5 - 22, 2018 Haus Overbach, Juelich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). Date and Venue March 5 - 22, 2018 Haus Overbach, Juelich-Barmen, Germany Faculty · Moshe Abeles, Bar-Ilan Univ, Israel · Michael Denker, Juelich Research Center and RWTH Aachen Univ, Germany · Alain Destexhe, CNRS, Gif sur Yvette, France · Sonja Grün, Juelich Research Center and RWTH Aachen Univ, Germany · Björn Kampa, RWTH Aachen, Germany · Christian Machens, Champalimaud Centre for the Unknown, Portugal · Martin Nawrot, University of Cologne, Germany · Yifat Prut, Hebrew Univ Jerusalem, Israel · Alexa Riehle, CNRS, Marseille, France · Jonathan Victor, Weill Cornell Medical College, USA · Thomas Wachtler, G-Node, LMU Munich, Germany Topics covered Single neuron properties and statistics · Stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Unitary Events · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Data mining · Data management, reproducibility, data sharing · Elephant toolbox Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. Course Fee A course fee of 800 Euros will be charged to accepted students. The course fee contributes to covering accommodation and meals, including coffee breaks. A few stipends will be available to support students with documented need of funding. Housing Accommodation in 2-bed rooms for students will be provided at the course site. How to apply The application should include · a letter of motivation (max 1 page) · curriculum vitae (please indicate the relevant courses you have taken) · description of programming experience · a letter of recommendation. Please send all documents as a single PDF file to <advanced-course(a)g-node.org<mailto:advanced-course@g-node.org>>. Deadlines Applications must be received by October 15, 2017. Early application is encouraged because number of participants is limited. For further information see https://portal.g-node.org/advanced-course-2018/ Organizers · Sonja Grün, Juelich Research Center and RWTH Aachen Univ, Germany · Martin Nawrot, University of Cologne, Germany · Thomas Wachtler, G-Node, Ludwig-Maximilians-Universität München, Germany Dr. Maren Frings Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Forschungszentrum Jülich GmbH and JARA 52425 Jülich, Germany Building 15.22 Room 4004 Phone +49 2461 61-9468 Fax +49 2461 61-9460 m.frings(a)fz-juelich.de<mailto:m.frings@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Bernstein 2017 Workshop, "The Neural Code: Universal Grammar or Area-Specific Mechanisms?"
by Hazem Toutounji Sept. 4, 2017

Sept. 4, 2017

Dear Colleagues, We would like to draw your attention to the upcoming workshop *The Neural Code: Universal Grammar or Area-Specific Mechanisms?* at the *Bernstein Conference 2017*, which will take place preceding the conference on *September 12-13* in *Göttingen, Germany*. *Abstract:* The brain responds to sensory stimuli with complex, yet structured, patterns of action potentials, which in turn gives rise to perception, action, remembrance and other facets of the organism's mental life. Finding order in the complexity of neural activity, and the quest for the neural code, occupied much of both experimental and theoretical neuroscience in the last decades. Several general theories of how the brain might encode and transfer information have been suggested, partly backed by experimental evidence. Attractor dynamics, binding by synchrony, brain oscillations acting at multiple temporal scales and Bayesian coding are some of the more prominent proposals into this direction. The debate whether these strategies are different facets of a fundamental neural grammar, or are local codes within functionally distinct brain regions, is far from settled. The aim of the workshop is to bring together experts in the field of neural coding, in order to discuss basic mechanisms of information encoding and the deeper question of whether there is a unifying grammar of neural representations. Schedule: Tue, Sept 12, 2017 13:00 Damian Battaglia, Aix-Marseille University, Marseille, France *Do oscillations modulate information processing? From routing states to computing modes* 13:45 Mattia Rigotti, Physical Sciences Department, IBM T. J. Watson Research Center, Yorktown Heights, NY *Functional role of the dimensionality of neural responses* 14:30 General discussion 15:00 Coffee Break 15:30 Máté Lengyel, University of Cambridge, UK *A sampling-based neural code of uncertainty in V1 (and I bet elsewhere, too)* 16:15 Nicolas Brunel, University of Chicago, Chicago, USA *Statistics of connectivity in networks optimizing information storage: fixed point attractors vs sequences* 17:00 Misha Tsodyks, Weizmann Institute of Science, Israel *Population spikes codes for processing and working memory* 17:45 General discussion Wed, Sept 13, 2017 9:00 Stefano Panzeri, Neural Computation Laboratory, Istituto Italiano di Tecnologia, Genova, Italy *The relationship between cross-cell coupling and the timescales of population coding across cortex* 9:45 Thilo Womelsdorf, Vanderbilt University, Nashville, Tennessee, USA *Neural coding and inter-areal integration of goal-relevant information using spike bursts* 10:30 *Coffee break* 11:00 Pascal Fries, Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany *Rhythms for Cognition: Communication through Coherence* 11:45 Genaral discussion Kind regards, Eleonora Russo and Hazem Toutounji -- Dr. rer. nat. Hazem Toutounji Postdoctoral Researcher in Theoretical Neuroscience Central Institute of Mental Health Medical Faculty Mannheim of Heidelberg University Square J5, 68159 Mannheim, Germany office: +49-621-1703-2366

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PhD Opportunities in the Department of Cognitive Sciences at the University of California, Irvine
by Jeff Krichmar Sept. 4, 2017

Sept. 4, 2017

Dear colleagues, The Department of Cognitive Sciences at the University of California, Irvine is seeking graduate students for admission in Fall 2018. We invite exceptional and highly motivated candidates to apply for full-time PhD research in computational neuroscience, machine learning, computational vision, neural networks, and neurorobotics. Students will have the opportunity to work in the Cognitive Anteater Robotics laboratory (PI: Jeff Krichmar), the Neuromorphic Machine Intelligence laboratory (PI: Emre Neftci), and the newly established Visual Perception laboratory (PI: Zyg Pizlo) at UC Irvine. For more information about ongoing research see: · http://www3.psych.purdue.edu/~zpizlo/ · http://nmi-lab.org/ · http://www.socsci.uci.edu/~jkrichma/CARL/ Projects include: · Cognitive robotics for decision-making, planning, perception, and memory. · Efficient coding in the brain. · Models of neuromodulation. · Neurobiologically inspired vision models. · Models of human problem solving. · Neuromorphic engineering and machine learning · Spike-based computation Applicants should have strong mathematical and computer programming skills, as well as good communication skills. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Founded in 1965, UCI is the youngest member of the prestigious Association of American Universities. The campus has produced three Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. UCI has more than 30,000 students and offers 192 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $5 billion annually to the local economy. For more information about the Cognitive Sciences graduate program, please see: http://www.cogsci.uci.edu/graduate/index.php Jeff Krichmar Professor Department of Cognitive Sciences University of California, Irvine Email: jkrichma(a)uci.edu Website: http://www.socsci.uci.edu/~jkrichma Emre Neftci, PhD (ETH Zurich) Assistant Professor Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, University of California, Irvine Email: eneftci(a)uci.edu Zygmunt Pizlo Professor Falmagne Endowed Chair in Mathematical Psychology Department of Cognitive Sciences University of California, Irvine Email: zpizlo(a)uci.edu

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[Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition
by Amir Aly Sept. 4, 2017

Sept. 4, 2017

CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environment so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the “Symbol Emergence” problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is “Cognitive Mirroring”, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *– Radboud University – The Netherlands 2. *Thomas Hermann*– Bielefeld University – Germany 3. *Tetsuya Ogata *– Waseda University – Japan 4. *Erhan Oztop *– Ozyegin Universiy – Turkey 5. * Stefan Wermter *– University of Hamburg – Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/conferences/?conf=rlhrc2017>*. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates <http://www.sigchi.org/publications/chipubform>*. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *– Osaka University – Japan 2. *Amir Aly *– Ritsumeikan University – Japan 3. *Yukie Nagai *– National Institute of Information and Communications Technology – Japan 4. * Takayuki Nagai *– The University of Electro-Communications – Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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Bernstein 2017 workshop: "Information transmission and communication in brain circuits"
by alireza valizadeh Sept. 4, 2017

Sept. 4, 2017

Dear All, We would like to draw your attention to the half day workshop *"Information transmission and communication in brain circuits"* at Bernstein Conference 2017, Sep 13, Göttingen, Germany. *Abstract:* The question of how the brain integrates the mutiplicity of local processes dispersed through its entire anatomy is a fundamental question in neuroscience. Any single cognitive function may involve several specialized areas whose association is mediated by the functional integration among them. Such integration is mediated by information exchange between brain areas through the routes which can change in fast timescales over which the structure is fixed, providing a flexible effective connectivity despite the rigidity of the infrastructure over fast timescales. The flexibility of the information routing and dynamic effective connectivity are a consequence of the multistability of the collective dynamics of the brain networks. In other words, a single structural connectivity can support plenty of degenerate dynamical states for each of which a special pattern of information transfer between the nodes is observed. Neuronal collective oscillations are hypothesized to provide such a basis for the dynamics communication between brain regions. Several lines of experimental evidences and theoretical arguments indicate that the phase relations between the oscillations of different brain regions can alter effective connectivity by modulating the gain of mutual influence between them. In this workshop the notion of information transfer in brain circuits and the role of brain rhythms in providing a dynamic effective communication network will be reviewed and the latest theoretical and experimental achievements will be presented. *Speakers:* - Wolf Singer (Max Planck Institute), - Mark Timme (Max Planck Institute) - Demian Battaglia (Aix-Marseille University) - Christoph Kirst (The Rockefeller University) - Santiago Canals (Instituto de Neurociencias de Alicante) - Raul Vicente (University of Tartu) - Leonardo Gollo (QIMR Berghofer Medical Research Institute) - Alireza Valizadeh (Institute for Advanced Studies in Basic Sciences) *Website:* http://www.nncn.de/en/bernstein-conference/2017/satellite-workshops/informa… Best regards, Alireza Valizadeh, Claudio Mirasso ------------------------------------------------------------------------ Alireza Valizadeh Associate professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS) School of cognitive sciences, Institute for research in fundamental sciences (IPM) Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade(a)iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html ------------------------------------------------------------------------

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CfPs Journal of Integrative Neuroscience: Brain-Inspired Intelligence Technology
by Reinoud Maex Sept. 2, 2017

Sept. 2, 2017

Call for Papers Special issue of the Journal of Integrative Neuroscience on Brain-Inspired Intelligence Technology Guest Editors: R.J. Martis, H. Lin, E. Barakova and Y. Zeng BRAIN-INSPIRED INTELLIGENCE TECHNOLOGY Brain-inspired intelligence technology aims to showcase the principles and mechanisms of human intelligence through development of brain-inspired intelligent systems. It is an effort to extract, integrate and analyse these principles and mechanisms across scale from quantum neuroscience to cognitive science research in pioneering the next wave of sentient technologies. The special issue is unprecedented, showcasing brain-inspired technology beyond 2020. Deadline for submission:25 November 2017 How to Submit: Authors are requested to submit their manuscript via the submission system available at http://msTracker.com/submit1.php?jc=jin In the “Cover Letter” box please indicate you are submitting your paper to the special issue on Brain-Inspired Intelligence Technology Topics of relevance include: * Biophysical neural networks * Brain-inspired cognitive models * Wetware design * Neurophotonics * Elemental conscious constructs * Quantum entanglement in agents * Cognitive technology supporting brain-inspired intelligence * Brain connectome based on optical nanoscopy technology * Observer-independent intelligence * Pico-scale resolution patch-clamping * Brain-inspired super and general artificial intelligence * New deep neural networks for brain-inspired learning * Brain-inspired intelligent hardware infrastructures * Cognitive neurorobotics For more information contact: Yi Zeng, Ph.D Deputy Director Research Center for Brain-inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing, China, 100190 Email: yi.zeng(a)ia.ac.cn see also http://www.iospress.nl/wp-content/uploads/2017/03/CfP_Brain-Inspired_Intell…

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APA Technology, Mind, & Society Conference - Submissions due Oct 20
by Jeff Krichmar Sept. 2, 2017

Sept. 2, 2017

Dear Colleagues, This upcoming APA conference on Technology, Mind, & Society may be of interest to many of you. Visit: http://www.apascience.org/conference/index.html The American Psychological Association will hold an interdisciplinary conference on Technology, Mind, and Society in Washington, D.C., on April 5-7, 2018. Scientists, practitioners, policymakers, and students from around the world are invited to participate in the event. The conference will provide a venue for reporting and assessing current efforts to understand and shape the interactions of human beings and technology, for identifying priorities for future work, and for promoting exchange and collaboration among participants. The conference will feature four keynote speakers: Cynthia Breazeal (MIT), Justine Cassell (Carnegie Mellon), Eric Horvitz (Microsoft Research), and Sandy Pentland (MIT). APA invites you and your colleagues and students to submit papers, symposia, and posters for this conference, which will be organized around the following broad themes: • Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human-technology interactions as mutually adaptive systems, role of technology in advancing other areas of scientific research, and related topics. • Foundations of technology design: Development of technologies informed by psychological, behavioral, and social science research. • Applications: Development, use, and impact of specific technologies in domains such as aging, education, mental and physical health, recreation, and the workplace. • Broader implications: Ethical and policy questions concerning the opportunities and challenges arising from human-technology interactions. The deadline for submissions is October 20, 2017. Submissions can be made here: https://www.openconf.org/APAScience2018TMS/openconf.php The conference is open to researchers, professionals, and students in all relevant areas, including psychology and other behavioral and social sciences, neuroscience, computer science, engineering, design, health research, education research, city and regional planning, public policy, history of science and technology, and philosophy. The conference aims to address the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, gaming, geographic information systems, autonomous vehicles, and biomedical technologies (e.g., brain-machine interfaces, genetic engineering). APA is sponsoring the conference in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery — Special Interest Group for Computer-Human Interaction (ACM SIGCHI). We look forward to seeing you at the Technology, Mind, and Society Conference! For additional information, see the conference website. If you have any questions, please contact the APA Science Directorate (science(a)apa.org) Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Scientist I/II - Computational Neuroscience at Allen Institute for Brain Science
by Stefan Mihalas Sept. 1, 2017

Sept. 1, 2017

POSITION SUMMARY We are seeking to fill a position at the level of Scientist to work on coarse-grained models of cortical networks aiming to understand how the observed structure and activity gives relate to cortical computations necessary for visual processing (e.g. figure ground segregation, integration of context). We use mouse vision as a model system and this position will focus on using population statistics (http://alleninstitute.github.io/dipde/) and filter neuron model simulation tools. More specifically, the scientist will work on (i) fitting network models with simple neurons which network structures are consistent with the observed mesoscopic connectivity and in vivo cellular activity, (ii) simulate the activity of such networks at neuronal an population levels and (iii) analyzing the relation between observed network structure and that predicted from different models of cortical computations. ESSENTIAL DUTIES AND RESPONSIBILITIES * Participate in team efforts to find network parameters which are consistent with activity (http://observatory.brain-map.org/visualcoding/) and connectivity (http://connectivity.brain-map.org/) data. * Simulate cortical networks parameterized from experimental data using population and simplified neuron model simulation tools. * Analyze how computations in vision (e.g. figure/ground segregation, integration of context) result from networks similar to those simulated. * Interact with groups performing simulations at other levels of resolution and with experimental groups. * Maintain clear and accurate communication with supervisor and team members. * Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS SCIENTIST I * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * Strong background in scientific computing is required. * Experience in computational neuroscience is preferred. SCIENTIST II * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * 4+ years of postdoctoral experience in computational science * Preferred Computational neuroscience * Strong background in scientific computing is required. * Strong publication record. Preferred Qualifications: * Ability to meet aggressive timelines and deliverables in a collaborative environment. * Proven independent thinking and flexibility. * Strong written and verbal communication skills * Experience in pursuing research projects in collaborative fashion. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. To apply please visit https://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/. Applications will be considered on an ongoing basis. Apologies for coss-posting, Stefan Mihalas Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org<http://www.alleninstitute.org/> Affiliate Assistant Professor Department of Applied Mathematics University of Washington

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5th Baltic-Nordic School on Neuroinformatics (BNNI 2017)
by Marja-Leena Linne Sept. 1, 2017

Sept. 1, 2017

5th Baltic-Nordic School on Neuroinformatics BNNI 2017 Theoretical modelling of brain functions in neurological and psychiatric disorders: Advancing future neuroscience and medicine through Neuroinformatics methods Place: Neuroscience Institute Lithuanian University of Health Sciences Eiveniu str.4, Kaunas Lithuania Time: 6-7 October 2017 More information and applications at: web.lsmuni.lt/bnni/en Important dates: 10 September 2017: Application deadline 12 September 2017: Acceptance notification 6-7 October 2017: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2017 to be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania. The course is interdisciplinary and covers modeling at different levels of organization of the brain, focusing on neurological and psychiatric disorders. The course combines lectures, tutorials and computer exercises. This school is the fifth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI in Warsaw 2016, Poland). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes: Marja-Leena Linne, Tampere University of Technology, Finland; The Human Brain Project Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Tuomo Mäki-Marttunen, Simula Research Laboratory, Oslo, Norway Inga Griskova-Bulanova, Institute of Bioscience, Vilnius University, Lithuania Rima Naginiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Andrius Radziunas, Department of Neurosurgery, Medical Academy, and Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania and others. Venue: The lectures will be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Eivenių str. 4, Kaunas, Lithuania Practical arrangements: There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. The course is supported by the Research Council of Lithuania and Lithuanian University of Health Sciences. We are looking forward to welcoming you at the BNNI 2017 in Kaunas, Lithuania!

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Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms - DEADLINE EXTENDED
by samarasinghe＠ini.rub.de Sept. 1, 2017

Sept. 1, 2017

Please note that the deadline for applications to the position below has been extended to *15.09.2017*. *Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> by *15**.09****.2017*. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16

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Postdoc position: computational models of visual memory, Rust lab, UPenn
by Rust, Nicole C Sept. 1, 2017

Sept. 1, 2017

A postdoctoral position focused on developing computational models of visual memory is available in the laboratory of Nicole Rust at the University of Pennsylvania. The lab is broadly interested in understanding the neural processing supporting massive-capacity, single-trial visual memories of images. This specific position involves developing classes of computational models that describe where and how visual memories are stored in the brain as well as how the percept of visual familiarity is signaled. Models include extensions of state-of-the-art descriptions of visual processing (e.g. deep neural networks) as well as more dynamic, mechanistic descriptions. To constrain these models, the researcher will interface with experimentalists in the lab who record and perturb neural signals in monkeys and tree shrews. Opportunities also exist to collaborate with the Simoncelli lab at NYU, the Yamins lab at Stanford, and with other members of the Penn Computational Neuroscience Initiative. Candidates should have a Ph.D. in Computational Neuroscience, Computer Science or a related field prior to starting. The ideal candidate has extensive experience in computational modeling as well as working with behavioral and/or neural data. To inquire about this position, please submit a CV and a brief statement of research interests to nrust(a)psych.upenn.edu<mailto:nrust@psych.upenn.edu>. Nicole Rust Associate Professor Department of Psychology University of Pennsylvania Philadelphia, PA http://www.sas.upenn.edu/psych/rust-lab/

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[EAIS 2018] Paper Submission deadline is on Saturday, 20th of January 2018 2359 UTC-12hr
by Teng Teck Hou Sept. 1, 2017

Sept. 1, 2017

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) 25-27 of May 2018, Island of Rhodes, Greece http://easyconferences.eu/eais2018/ ################################################## Contributions will be selected based upon their quality as evaluated by the reviewers. An online submission system for contributions will be made available on this webpage soon. Papers must be comprised of up to 8 pages and they will be published in the IEEE Explore All contributions have to be prepared according to the IEEE conference style guidelines. To see the Topics please visit: http://easyconferences.eu/eais2018/topics.html ################################################## The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in the exotic island of Rhodes (Greece) which has a beautiful medieval town built by the crusaders and it is preserved as UNESCO monument. A main characteristic of Rhodes is its long ancient history with many ancient Greek sites. Set against the historic backdrop of Rhodes island is the elegant and pisturesque lowrise architecture of Aldemar Amilia Mare Village, an all-inclusive seaside resort. Newly refurbished luxury rooms with sea or garden views are the perfect choice for all holidaymakers, f rom singles to families. Dive into crystal clear swimming pools, try a wide range of watersports at the beach, enjoy the Spa Centre with its fully equipped fitness area and sample the cosmopolitan delights of the themed restaurants. ##############################Important Dates############################## * Paper Submission January 20, 2018 * Special Session Proposals 20 December, 2017 * Paper Decision Notification January 15, 2018 * Camera-Ready Submission February 15, 2018 * Authors registration To be announced * Conference May 25 - 27 2018 ########################################################################### ########################## At least three distinguished Keynote Speakers will be invited ########################## ##################### SPECIAL ISSUES ################################### Selected papers (from the list of the accepted and presented ones) will be considered for publication and inclusion in Special Issue of the EVOLVING SYSTEMS (EVOS) Springer Journal. At least one more Special Issue will be edited ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * General co-Chairs Plamen Angelov, Lancaster University, UK Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece PC co-Chairs Edwin Lughofer Johannes, Kepler University Linz, Austria Lazaros Iliadis, Democritus University of Thrace Honorary co-Chairs Dimitar Filev, Ford Motor Company, USA Nikola Kasabov, Auckland University of Technology, New Zealand Special session co-Chairs Abdelhamid Bouchachia, University of Bournemouth, UK Jose Antonio Iglesias, Carlos III University of Madrid (Leganes, Spain) Organizing Chair Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece Local Organizing co-Chairs Constantinos Demertzis, Democritus University of Thrace, Greece Antonis Papaleonidas, Democritus University of Thrace, Greece Workshop co-chairs M. Sayed - Mouchaweich, Universite Lille, France Andre Paim Lemos, Univerity Minas Gerais, Brazil Publicity and Publication co-Chairs Teck-Hou, Teng Singapore Management University, Singapore Antonis Papaleonidas, Democritus University of Thrace, Greece Web Admin Kyriakos Georgiades, Easy Conferences, Cyprus * International Program Committe Plamen Angelov, Lancaster University, UK Rosangela Ballini, University of Campinas, Brazil Jorge Cassillas, University of Granada, Spain Dejan Dovzan, University of Ljubljana, Slovenia Nadine Gaertner, SAP, Germany Lazaros Iliadis, Democritus University of Thrace, Greece Nik Kasabov, Auckland University of Technology, New Zealand Spyros Likothanasis, University of Patras, Greece Daniel Furtado Leite, Federal University of Lavras, Brazil Andre Lemos, Federal University of Minas Gerais, Brazil Edwin Lughofer, Johannes Kepler University, Linz, Austria Yannis Manolopoulos, Aristotle University of Thessalonii, Greece Trevor Martin, University of Bristol, UK Seiichi Ozawa, Kobe University, Japan Witold Pedrycz, University of Alberta, Canada Radu-Emil Precup, University of Timisoara, Romania Olga Senyukova, Lomonosov Moscow State University, Moscow, Russia El Mustapha Mouaddib, Universite de Picardie Jules Verne, France Jus Kocijan, Jozef Stefan Institute, Ljubljana,Slovenia ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Aristotle University of Thessaloniki, Greece * Democritus University of thrace, Greece ##########################################################################

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Penn Psych - Faculty Search
by Rust, Nicole C Aug. 29, 2017

Aug. 29, 2017

Assistant Professor, Cognitive or Affective Science Department of Psychology, University of Pennsylvania The Department of Psychology at the University of Pennsylvania intends to make multiple appointments in the areas of Cognitive Science and Affective Science over the next several years. Our primary focus is at the junior, Assistant Professor level, but in exceptional circumstances a more senior hire may be considered. We are interested in candidates with research interests in the areas, broadly defined, of cognitive science (e.g., learning and memory, perception, attention, language, or decision making) or affective science (e.g., clinical or health psychology; social, moral, or political psychology; positive psychology; or the psychology of individual differences), and who use any number of approaches, including but not limited to computational, neuroscientific (behavioral, systems, or cognitive), or developmental. Interested candidates should submit materials online at http://facultysearches.provost.upenn.edu/postings/1121 and include a curriculum vitae, statements of research and teaching interests, and the names and contact information of three referees. Candidates will contribute to the teaching mission of the university with introductory courses such as Introduction to Psychology, Introduction to Brain and Behavior, Cognitive Psychology, or Abnormal Psychology, as well as advanced undergraduate or graduate courses in specific areas of interest. Referees will be contacted by the University with instructions on how to submit a recommendation letter to the website. Review of applications will begin on September 18, 2017 and continue until the position is filled. The Department of Psychology is strongly committed to Penn’s Action Plan for Faculty Diversity and Excellence and to creating a more diverse faculty (for more information, see http://www.upenn.edu/almanac/volumes/v58/n02/diversityplan.html) The University of Pennsylvania is an equal opportunity employer. Minorities, women, individuals with disabilities, and protected veterans are encouraged to apply. Nicole Rust, Ph.D. Associate Professor Department of Psychology University of Pennsylvania Philadelphia, PA 19104 http://www.sas.upenn.edu/psych/rust-lab/

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[jobs] Researcher in Cognitive Robotics
by Di Nuovo, Alessandro Aug. 29, 2017

Aug. 29, 2017

Apologies for multiple postings. A fixed-term position is available at Sheffield Hallam University (UK), within Sheffield Robotics. The post is funded by the EPSRC project EP/P030033/1 - Number Understanding Modelling in Behavioural Embodied Robotic Systems (NUMBERS). Details of the post and the link for applying can be found here: http://www.jobs.ac.uk/job/BDR925/researcher-cognitive-robotics/ NUMBERS is a highly inter-disciplinary cutting-edge cognitive robotics research programme lead by Dr Alessandro Di Nuovo and developed in collaboration with Sheffield Robotics. The project sees the participation of Plymouth University and Stanford University (USA), and received the support of the NVIDIA Corporation (USA). It will utilise one of the most advanced child-like robotic platforms (the "iCub") to construct a novel artificial cognitive model of mathematical cognition by imitating human like learning approaches for developing number understanding. The researcher will contribute to the project by carrying out experiments with the iCub, including: Software development. Collecting and analysing data. Guaranteeing continuity of the robotic experiments. The researcher will also be an active member of the Sheffield Robotics team contributing to scientific publications and supporting exhibitions and demonstrations. Experience of working with the iCub robotic platform would be an advantage as well as the knowledge of deep learning software frameworks. This is an exciting opportunity to contribute to the development of the next generation of socially interactive robots capable of learning and mimicking advanced capabilities of human intelligence. Contact e-mail: a.dinuovo(a)shu.ac.uk

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[Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition
by Amir Aly Aug. 28, 2017

Aug. 28, 2017

CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environment so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the “Symbol Emergence” problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is “Cognitive Mirroring”, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *– Radboud University – The Netherlands 2. *Thomas Hermann*– Bielefeld University – Germany 3. *Tetsuya Ogata *– Waseda University – Japan 4. *Erhan Oztop *– Ozyegin Universiy – Turkey 5. * Stefan Wermter *– University of Hamburg – Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/conferences/?conf=rlhrc2017>*. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates <http://www.sigchi.org/publications/chipubform>*. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *– Osaka University – Japan 2. *Amir Aly *– Ritsumeikan University – Japan 3. *Yukie Nagai *– National Institute of Information and Communications Technology – Japan 4. * Takayuki Nagai *– The University of Electro-Communications – Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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Postdoc position in electrophysiology/neural coding at Columbia University
by Qi Wang Aug. 28, 2017

Aug. 28, 2017

A postdoc position is available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording and quantitative analytical methods. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu.

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Bernstein 2017 Workshop: "Multiscale modeling and simulation"
by Salvador Dura Aug. 27, 2017

Aug. 27, 2017

Dear All, We would like to bring your attention to the* "Multiscale modeling and simulation" workshop* at the *Bernstein Conference 2017, Sept 12-13, Göttingen, Germany.* *Website: *http://www.nncn.de/en/bernstein-conference/2017/ satellite-workshops/multiscale-modeling-and-simulation-dura-bernal-lytton *Short abstract:* Understanding brain function requires characterizing the *interactions occurring across many temporal and spatial scales*. Mechanistic multiscale modeling aims to organize and explore these interactions across these scales. Multiscale models can provide insights into how changes at the molecular and cellular levels affect dynamics at local networks and brain areas. At the highest levels, they allow us to connect neural activity to theories of behavior, memory and cognition. The recent introduction of large neuroscience projects in US and EU Brain Research through Advancing Innovative Neurotechnologies (BRAIN) and Human Brain Project (HBP) respectively provide an opportunity to rapidly gather new and more accurate data to incorporate into the multiscale models. This workshop will present some of the* latest multiscale modeling tools and approaches in neuroscience, as well as representative examples of datadriven multiscale neural simulations*. The workshop aims to encourage both computational and experimental neuroscientists to make use of multiscale modeling in their research. *Organizers: *Salvador Dura-Bernal and Bill Lytton (SUNY Downstate) *Speakers:* *Tue, Sept 12:* - Bill Lytton (SUNY Downstate) - Jean Pierre Changeux (Pasteur Institute) - Volker Steuber (University of Hertfordshire) - Robert McDougal (Yale University) - Salvador Dura-Bernal (SUNY Downstate) - Cliff C Kerr (University of Sydney) *Wed, Sept 13:* - Szabolcs Kali (Hungarian Academy of Science/HBP) - Marianne Bezaire (Boston University) - Daniel Durstewitz (ZI Mannheim) - Kael Dali (Allen Institute for Brain Science) We look forward to seeing you there! Best Salva -- Salvador Durá-Bernal, Ph.D. Research Assistant Professor State University of New York Downstate Medical Center

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PhD, Master and Postdoc positions in theoretical neuroscience at the MPI for Brain Research
by Tatjana Tchumatchenko Aug. 27, 2017

Aug. 27, 2017

PhD, Master and Postdoc positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are looking for undergraduate students interested in writing a Master or PhD thesis and also have open positions for Postdocs to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics(a)gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko

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Postdoctoral opportunity
by Timothy O'Leary Aug. 25, 2017

Aug. 25, 2017

Post-doctoral position in theoretical neuroscience, University of Cambridge Description We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate in Theoretical and Computational Neuroscience to join the research group of Dr Timothy O’Leary in the Department of Engineering, University of Cambridge (http://www.olearylab.org/) The successful applicant will undertake exciting collaborative research projects in systems neuroscience, with the opportunity to work closely with experimental laboratories in Harvard Medical School, HHMI Janelia and the Weizmann Institute of Science. The post will therefore involve significant travel. A range of projects is available, covering themes of neural representations of behaviour, neuromodulation and regulatory control in the nervous system. The successful applicant will have, or be near to obtaining, a PhD in theoretical neuroscience, applied mathematics, control engineering, physics, or theoretical biology, and will have extensive research experience demonstrated by a strong publication record. A solid grounding in neuroscience is important. The position is initially for three years with possibility of extension, with a 6 month probation period. The appointment commences December 1, 2017but start date is flexible within reason. We offer a competitive salary in line with experience and we especially encourage applications from minorities and underrepresented groups. Full application details are available here: http://www.jobs.cam.ac.uk/job/14796/ Closing date: 2017-10-02 Employment start date: 2017-12-01 Contract length: 3 years Institution: University of Cambridge *Timothy O'Leary* Department of Engineering, University of Cambridge, United Kingdom Phone +441223746527 Email tso24(a)cam.ac.uk

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advertised postdoc position
by Matthew Chalk Aug. 25, 2017

Aug. 25, 2017

Postdoc position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: A postdoctoral position is available for a project with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/) within the University of Pierre and Marie Curie, in Paris, France. The project will involve investigating principles of neural coding in the retina. Specifically, the project will investigate how different coding objectives, such as optimising efficiency or encoding predictive information, can explain the diverse ways that neurons in the retina respond to visual stimulation. The postdoc will include both a theoretical and an experimental component. The theoretical part of the project will extend previous work by Chalk et al. to develop a general theory of optimal neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part will involve running experiments to test this theory in the retina. The experimental part will be in close collaboration with members from the lab of Olivier Marre, who have developed techniques for recording from hundreds of retinal ganglion cells simultaneously (e.g. Marre et al. PLoS Comp. 2015). The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The ideal candidate should have a PhD with a strong, quantitative background (ideally in fields such as machine learning and/or theoretical neuroscience). The position is funded for three years. Applications should include a CV, a statement of research interests (max 1 page), and two letters of recommendation. The earliest starting date will be 14/01/18. Electronic submissions in pdf-format are preferred and should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions about the position if you are interested.

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Fully funded PhD position on machine learning for neuroimaging data analysis
by Diego Sona Aug. 23, 2017

Aug. 23, 2017

We are seeking candidates for a PhD position entitled “Computational Methods for Brain Connectivity Analysis”. The research will aim at developing novel approaches based on machine learning for the analysis of structural and functional brain connectivity from neuroimaging data (e.g., fMRI, rsMRI, DTI, MEG, EEG, etc.). The aim is to better understand the brain and characterize the neurological and neurodegenerative diseases. The successful candidate will have the opportunity to work in an interdisciplinary environment. The applicant should have a background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ <https://nilab.fbk.eu/>) and the Pattern Analysis and Computer Vision Laboratory (PAVIS, http://pavis.iit.it/ <http://pavis.iit.it/>). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it <http://www.cimec.unitn.it/>). Interested candidates must apply for the PhD grant following the instructions in the call published by Università degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school <http://ict.unitn.it/application/ict_doctoral_school>) referring to position A5. Deadline for the formal application is August 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) Interested candidates are also invited to contact Paolo Avesani (avesani(a)fbk.eu <mailto:avesani@fbk.eu>) and Diego Sona (diego.sona(a)iit.it <mailto:diego.sona@iit.it>) by emailing their CV and a short statement of interest in this position. For further information on the position and the application process refers to the following links http://ict.unitn.it <http://ict.unitn.it/> http://ict.unitn.it/application/project_specific_grants <http://ict.unitn.it/application/project_specific_grants> Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it pavis.iit.it/people/diego-sona ---------------------------------------------------------

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Assistant Professor Neural Mechanisms of Cognition and Behavior, Emory University (Atlanta, USA)
by Liu, Robert C Aug. 23, 2017

Aug. 23, 2017

Assistant Professor, Neural Mechanisms of Cognition and Behavior The Department of Psychology at Emory University invites applications for a tenure-track position at the level of assistant professor with an anticipated start date of August 1, 2018. We seek applicants to establish an independent, federally-funded program of research aimed at understanding mechanisms of cognition and behavior at biological and psychological levels with a goal of building on Emory's strengths in behavioral, cognitive, affective, social, computational, developmental, and/or comparative neuroscience. We also seek applicants with a strong commitment to undergraduate and graduate teaching. Laboratory space for small animals as well as research facilities for humans (including a research-dedicated 3T MRI scanner) are available. Applicants whose research uses cutting-edge techniques in small animals and bridges to studies with humans are particularly encouraged to apply. Ph.D. required. Candidates should submit applications at psychology.emory.edu. Please include a CV, a research statement, a teaching statement, two or three representative publications, and three letters of recommendation. Please also include a brief statement in your cover letter that addresses past activities and future plans to advance equity, inclusion, and diversity in your professional career. Review of applications will begin on November 1, 2017, and applications received up to 30 days after review begins will be given full consideration. Emory University (Atlanta, GA) is a diverse community that values multiple perspectives and is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. Women, minorities, persons with disabilities and veterans are encouraged to apply. Robert C. Liu, PhD Associate Professor Department of Biology Emory University O. W. Rollins Research Center Rm 2131 1510 Clifton Rd NE Atlanta, GA 30322 USA Phone: +1 404-727-5274 Email: robert.liu(a)emory.edu<mailto:robert.liu@emory.edu> Lab Website<http://www.biology.emory.edu/research/Liu/html/index.php> ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms
by samarasinghe＠ini.rub.de Aug. 23, 2017

Aug. 23, 2017

*Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> by 31.08.2017. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16

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Memory GATE opens early for 2 theoretical PhD students at SISSA
by Alessandro Treves Aug. 23, 2017

Aug. 23, 2017

Memory research: Ground-breaking, Applied, and Technological Exchanges is an EU-funded Innovative Training Network coordinated by Francesco Battaglia and including groups at the Radboud (Nijmegen), UCLondon, NTNU-Trondheim, INSERM & AMU (Marseille), Weizmann, Janssen Pharma and SISSA, which will host 15 PhD students on projects taking different approaches to hippocampal memory functions, starting in early 2018. The two theorists to be hosted at SISSA, however, have to be admitted to its Cognitive Neuroscience PhD, by attending the exam in Trieste on Sept 11-12, 2017, see http://www.sissa.it ----------- Deadline August 31st, 2017 --------------- Ideal candidates, who can be of any nationality but must not have spent much time in Italy in the last 3 years, enjoy analytical, mathematical and computational excursions when seeking fundamental network understanding. Those admitted will be awarded a SISSA fellowship for the first few months, and later a much higher, EU-set M-GATE fellowship once the ITN operates. Feel free to inquire about limbo (then please send a CV) to ale(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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Neuromodulation of Neural Microcircuits NM2 Conference 2017
by Srikanth Ramaswamy Aug. 22, 2017

Aug. 22, 2017

We are delighted to announce the upcoming Neuromodulation of Neural Microcircuits (<https://nm2.epfl.ch/>NM2) Conference 2017<https://nm2.epfl.ch> (https://nm2.epfl.ch/) The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: • Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits • Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease • Integrate knowledge to build a unifying view of the neuromodulation of different brain regions • Inform and attract new talent to drive forward neuromodulation research • Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program<https://nm2.epfl.ch/page-145616-en.html> with a stimulating lineup of speakers<https://nm2.epfl.ch/page-145624-en.html>! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration<https://nm2.epfl.ch/page-145625-en.html> includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to submit poster abstracts<https://nm2.epfl.ch/page-146294-en.html>. Some abstracts will be selected for flash talks. Early bird registration is open until August 21st, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten

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Postdoctoral Fellowship: Enhancing Real-World Memory
by Christopher Honey Aug. 22, 2017

Aug. 22, 2017

POSTDOCTORAL FELLOW: ENHANCING REAL-WORLD MEMORY A fully-funded postdoctoral position is available in Dr. Christopher Honey's lab in the Department of Psychological and Brain Sciences at Johns Hopkins University (www.honeylab.org) Working with the Barense Lab at the University of Toronto, our team is developing a memory prosthetic device which enhances memory for everyday events. This postdoctoral research would lead investigations into how memory can be optimized by grouping, timing and framing of replay events. The ideal candidate would be conversant in both neuropsychological theory of memory as well as the computational analysis of real-world audiovisual data. Johns Hopkins is home to a large and vibrant community of neuroscience researchers, and features strong connections between psychology, systems and cognitive neuroscience, biomedical engineering and computer science. Postdoctoral fellows will have access to the MARCC computing cluster; a top-notch neuroimaging center, including 3T and 7T scanners; new TMS and EEG facilities are housed in the PBS department; human intracranial experiments are possible via neurology collaborators in Baltimore and Toronto. The targeted start date for this position is October 2017. The initial appointment is for one year, with the opportunity for renewal thereafter. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University's goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant. QUALIFICATIONS Candidates should have a PhD in a relevant field (e.g., psychology, cognitive science, neuroscience, physics, mathematics, computer science) and a record of published work related to memory and/or wearable devices. Strong programming skills are required. APPLICATION INSTRUCTIONS To apply, please email chris.honey(a)jhu.edu, providing: a current CV, a brief summary of research accomplishments and plans; two example publications or computational projects; contact information for three references.

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Postdoctoral researcher, neuroimaging & computational neuroscience
by Megan Peters Aug. 21, 2017

Aug. 21, 2017

Postdoctoral researcher, neuroimaging & computational neuroscience (Megan Peters) The Neural Computation Lab in the Department of Bioengineering at the University of California, Riverside, led by Dr. Megan Peters, is seeking a postdoctoral researcher. Topics of investigation include neural substrates of uncertainty, decision-making, and perceptual awareness using computational analysis and neuroimaging (fMRI, EEG). The successful candidate holds a Ph.D. or equivalent in computational neuroscience, bioengineering, applied math, computer science, or related field, and has substantial computational background in analyzing neuroimaging data (e.g., MVPA, connectivity, graph theory) and ideally computational modeling (Bayesian, signal detection theory, neural networks). Proficiency in at least one programming language (Matlab, Python, etc) is required. Our research group is part of a strong and lively neuroscience research community at UCR, and has strong ties to other groups in southern California and worldwide, including at UCLA (Hakwan Lau’s group; Michele Basso’s group; Alicia Izquierdo’s group), Advanced Telecommunications Research (ATR) in Kyoto (Mitsuo Kawato’s group), and Nagoya University (Kazuhisa Shibata’s group). Initial appointment will be for one year, with the possibility to renew up to five years. Compensation will be according to the NIH payscale. The University of California is an equal opportunity employer. Applications from women and underrepresented minorities are encouraged. To apply, please send a CV, statement of interests, up to 3 letters of recommendation and any relevant reprints to Dr. Peters at mpeters(a)engr.ucr.edu. We are accepting applications until the position is filled. -- Megan Peters, Ph.D. Assistant Professor Department of Bioengineering University of California, Riverside http://www.engr.ucr.edu/faculty/meganpeters.html

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postdoc in Barcelona to do single cell recordings in humans
by Quian Quiroga, Rodrigo (Prof.) Aug. 21, 2017

Aug. 21, 2017

*** Apologies for multiple postings*** Dear all, Please see below details of a postdoc position at the Barcelona ßeta Brain Research Center to study memory mechanisms by performing single cell recordings in humans in collaboration with Hospital del Mar. Cheers, Rodrigo Postdoc Position Barcelona ßeta Brain Research Center (BBRC) The Barcelona ßeta Brain Research Center (BBRC) offers a fully funded postdoc position at the research group headed by Professor Rodrigo Quian Quiroga. The group is part of a new Research Program on Memory, complementary to ongoing research at BBRC dealing with the Prevention of Alzheimer Disease. The group is associated to the epilepsy group headed by Dr. Gerardo Conesa at Hospital del Mar, a health center close to BBRC. Research will involve the study single cell recordings in humans. These recordings are performed in epileptic patients for curative surgery. In particular, the project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. The successful candidate will contribute to performing recordings with patients at the Hospital del Mar and the analysis of the data to investigate the role of these neurons in memory formation, consolidation, long-term coding and recall. Candidates should have excellent quantitative skills (data processing, and programming, preferably in Matlab) and ideally, a strong background in neuroscience and experience with neurophysiology recordings. They should be able to work both independently and as part of a research team within the BBRC. The position is initially offered for 2 years, with the possibility to extend it for another 2 years. Salary will be competitive, depending on experience. The closing date for the applications is Monday 25th August 2017. Start date will be in October 2017. For application details and further particulars see: https://fpmaragall.org/en/wp-content/uploads/sites/3/2014/07/Postdoc_Neural… Informal inquiries are welcome and should be submitted electronically to: rh(a)fpmaragall.org Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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FW: 5th Baltic-Nordic School on Neuroinformatics BNNI 2017
by Marja-Leena Linne Aug. 20, 2017

Aug. 20, 2017

5th Baltic-Nordic School on Neuroinformatics BNNI 2017 Theoretical modelling of brain functions in neurological and psychiatric disorders: Advancing future neuroscience and medicine through Neuroinformatics methods Place: Neuroscience Institute Lithuanian University of Health Sciences Eiveniu str.4, Kaunas Lithuania Time: 6-7 October 2017 More information and applications at: http://web.lsmuni.lt/bnni/en Important dates: 3 September 2017: Application deadline 10 September 2017: Acceptance notification 6-7 October 2017: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2017 to be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania. The course is interdisciplinary and covers modeling at different levels of organization of the brain, focusing on neurological and psychiatric disorders. The course combines lectures, tutorials and computer exercises. This school is the fifth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI in Warsaw 2016, Poland). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes Marja-Leena Linne, Tampere University of Technology, Finland Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Tuomo Mäki-Marttunen, Simula Research Laboratory, Oslo, Norway Rima Naginiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Andrius Radziunas, Department of Neurosurgery, Medical Academy, and Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania and others. Venue The lectures will be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Eivenių str. 4, Kaunas, Lithuania Practical arrangements There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. The course is supported by the Research Council of Lithuania and Lithuanian University of Health Sciences. We are looking forward to welcoming you at the BNNI 2017 in Kaunas, Lithuania!

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Late registration open for Integrated Systems Neuroscience
by Mark Humphries Aug. 17, 2017

Aug. 17, 2017

Dear colleagues, late registration for the Integrated Systems Neuroscience meeting is now open until Friday September 1st Please register here: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ ISN is a forum for the state-of-the-art in systems and computational approaches to key neural circuits. This year our speakers range across population coding; decision-making; hippocampus; whole CNS imaging; cortical dynamics; and motor circuits Our Speakers Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) ISN2017 is being held in Manchester, UK, on the 7-8th September. Any questions? Late-breaking poster? Please contact us at isn2017(a)manchester.ac.uk<mailto:isn2017@manchester.ac.uk> Hope to see you in Manchester! Mark Humphries & Rasmus Petersen Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health | University of Manchester @markdhumphries Public blog: medium.com/the-spike<http://medium.com/the-spike>

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Open position: Expert in machine learning and high-performance computing
by Daniel Zysman Aug. 16, 2017

Aug. 16, 2017

The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry. To apply: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do… <https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do…> For more information about our department: https://bcs.mit.edu/ <https://bcs.mit.edu/> Job Description: PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems. Job Requirements: Bachelor’s degree (advanced degree preferred) in a scientific field or computer science; at least four years’ experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. ------------------------------------------------------ Daniel Zysman Computational Course Co-Instructor MIT, Department of Brain & Cognitive Sciences

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Fully funded PhD studentship in Computational Neuroscience
by Vassilis Cutsuridis Aug. 16, 2017

Aug. 16, 2017

PhD Position in Computational Neuroscience (EU/UK candidates only) MLearn Research Group (http://mlearn.lincoln.ac.uk/) School of Computer Science University of Lincoln UK Applications are invited for a PhD position in the Machine Learning (MLearn) Research Group at the University of Lincoln. Projects involve the development and simulation of models of neuronal networks (microcircuits) of learning and memory in animal and human entorhinal cortex and hippocampus in health and disease (e.g. epilepsy, schizophrenia, Alzheimer's disease). A starting point of the project is the paper by Cutsuridis V, et al. (2010). Encoding and retrieval in the hippocampal CA1 microcircuit model. *Hippocampus*, 20(3): 423-446. <http://vassiliscutsuridis.com/docs/Journal_papers/CutCobGraHippo2010.pdf> <http://mlearn.lincoln.ac.uk> Student applicants should have excellent computational and numerical skills and a very good first degree in computer science, engineering, maths, physics, or a related discipline. Successful student candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). This PhD studentship is ONLY OPEN to UK/EU students. The ideal candidate should be highly motivated, technically skilled, a team player and driven to push forward the development of the next generation of deep associative memory neural-networks. Your written and spoken English skills should be excellent. As a PhD student, you may also have the opportunity to teach as a demonstrator in the School of Computer Science. Research in Computer Science at the University of Lincoln has been recognised as internationally excellent and world leading. The School of Computer Science provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Lincoln, two hours northeast of London. Please contact Dr Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) or Prof. Stefanos Kollias (skollias(a)lincoln.ac.uk) for informal enquiries. If you’re interested to apply, please email your CV, a brief statement of your scientific interests, and three reference letters to Dr. Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) <vcutsuridis(a)lincoln.ac.uk> Applications will be assessed on a rolling basis. Vassilis Cutsuridis School of Computer Science University of Lincoln Lincoln LN6 7TS U.K. Tel: +44 (0) 1522 83 5107 Email: vcutsuridis(a)lincoln.ac.uk Web: http://staff.lincoln.ac.uk/vcutsuridis Personal Web: http://www.vassiliscutsuridis.com/

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Postdoctoral position / Optimizing NEST for Modular Supercomputing Architecture
by Hans Ekkehard Plesser Aug. 15, 2017

Aug. 15, 2017

com Dear Colleagues! I am looking for a post-doc to join my group to work on optimizing NEST (www.nest-simulator.org) for a novel modular supercomputing architecture developed by the DEEP-EST collaboration (www.deep-projects.eu) and to combine NEST simulations with simultaneous detailed LFP model (HybridLFPy, http://inm-6.github.io/hybridLFPy) or spike-train analysis (Elephant, neuralensemble.org/elephant) exploiting the heterogeneous DEEP-EST architecture. The position is funded by DEEP-EST, an EU FET-HPC project, coordinated by Forschungszentrum Jülich and involves academic and industry partners. The position is available immediately until the end of the project (June 2020). The full announcement for the position is available at https://www.jobbnorge.no/en/available-jobs/job/141149/postdoctoral-fellow-i… Please get in touch if you have any questions! Hans Ekkehard -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Leaders and followers: Quantifying consistency in spatio-temporal propagation pattern
by Thomas Kreuz Aug. 15, 2017

Aug. 15, 2017

Dear all, may I kindly draw your attention to our paper on the new multivariate directional measure *SPIKE-Order*. In this paper we propose a new approach to quantify consistency of spatio-temporal propagation patterns in sequences of discrete events (e.g. spike trains). This includes a sorting from leader to follower. As usual we show some applications to neurophysiological data. *Leaders and followers: Quantifying consistency in spatio-temporal propagation pattern <http://iopscience.iop.org/article/10.1088/1367-2630/aa68c3/meta>* Thomas Kreuz, Eero Satuvuori, Martin Pofahl and Mario Mulansky New J. Phys., *19*, 043028 (2017). Abstract: Repetitive spatio-temporal propagation patterns are encountered in fields as wide-ranging as climatology, social communication and network science. In neuroscience, perfectly consistent repetitions of the same global propagation pattern are called a *synfire pattern*. For any recording of sequences of discrete events (in neuroscience terminology: sets of spike trains) the questions arise how closely it resembles such a synfire pattern and which are the spike trains that lead/follow. Here we address these questions and introduce an algorithm built on two new indicators, termed *SPIKE-order* and *spike train order*, that define the *synfire indicator* value, which allows to sort multiple spike trains from leader to follower and to quantify the consistency of the temporal leader-follower relationships for both the original and the optimized sorting. We demonstrate our new approach using artificially generated datasets before we apply it to analyze the consistency of propagation patterns in two real datasets from neuroscience (giant depolarized potentials in mice slices) and climatology (El Niño sea surface temperature recordings). The new algorithm is distinguished by conceptual and practical simplicity, low computational cost, as well as flexibility and universality. Implementations are provided online in three free code packages called SPIKY <http://www.fi.isc.cnr.it/users/thomas.kreuz/Source-Code/SPIKY.html> (Matlab GUI), PySpike <http://mariomulansky.github.io/PySpike/>(Python library) and, most recently, cSPIKE <http://www.fi.isc.cnr.it/users/thomas.kreuz/Source-Code/cSPIKE.html>(Matlab command line with MEX-files). Best regards, Thomas Kreuz PS: Three further recent articles: *Measures of spike train synchrony for data with multiple time scales <http://www.sciencedirect.com/science/article/pii/S0165027017301619>* Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic, Irene Malvestio, Fleur Zeldenrust, Kerstin Lenk, Thomas Kreuz JNeurosci Methods *287*, 25 (2017). Background Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the ISI-distance, the SPIKE-distance and SPIKE-synchronization, are preferable to time scale parametric measures, since by adapting to the local firing rate they take into account all the time scales of a given dataset. New method In data containing multiple time scales (e.g. regular spiking and bursts) one is typically less interested in the smallest time scales and a more adaptive approach is needed. Here we propose the A-ISI-distance, the A-SPIKE-distance and A-SPIKE-synchronization, which generalize the original measures by considering the local relative to the global time scales. For the A-SPIKE-distance we also introduce a rate-independent extension called the RIA-SPIKE-distance, which focuses specifically on spike timing. Results The adaptive generalizations A-ISI-distance and A-SPIKE-distance allow to disregard spike time differences that are not relevant on a more global scale. A-SPIKE-synchronization does not any longer demand an unreasonably high accuracy for spike doublets and coinciding bursts. Finally, the RIA-SPIKE-distance proves to be independent of rate ratios between spike trains. Comparison with existing methods We find that compared to the original versions the A-ISI-distance and the A-SPIKE-distance yield improvements for spike trains containing different time scales without exhibiting any unwanted side effects in other examples. A-SPIKE-synchronization matches spikes more efficiently than SPIKE-synchronization. Conclusions With these proposals we have completed the picture, since we now provide adaptive generalized measures that are sensitive to firing rate only (A-ISI-distance), to timing only (ARI-SPIKE-distance), and to both at the same time (A-SPIKE-distance). *Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains <https://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.022203>* Irene Malvestio, Thomas Kreuz, Ralph G Andrzejak Physical Review E *96*, 022203 (2017). The detection of directional couplings between dynamics based on measured spike trains is a crucial problem in the understanding of many different systems. In particular, in neuroscience it is important to assess the connectivity between neurons. One of the approaches that can estimate directional coupling from the analysis of point processes is the nonlinear interdependence measure L. Although its efficacy has already been demonstrated, it still needs to be tested under more challenging and realistic conditions prior to an application to real data. Thus, in this paper we use the Hindmarsh-Rose model system to test the method in the presence of noise and for different spiking regimes. We also examine the influence of different parameters and spike train distances. Our results show that the measure L is versatile and robust to various types of noise, and thus suitable for application to experimental data. *SPIKE-order <http://www.scholarpedia.org/article/SPIKE-order>* Thomas Kreuz, Eero Satuvuori, Mario Mulansky Scholarpedia, *12*(7):42441 (2017). -- Institute for complex systems, CNR Via Madonna del Piano 10 50119 Sesto Fiorentino (Italy) Tel: +39-349-0748506 Email: thomas.kreuz(a)cnr.it Webpage: http://www.fi.isc.cnr.it/users/thomas.kreuz/

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Research Associate, Neuroimaging analyst, Western University
by Jorn Diedrichsen Aug. 15, 2017

Aug. 15, 2017

Western University has received a $66M investment from the Canada First Research Excellence Fund (CFREF). This investment will bring together researchers from across the University under a unifying initiative called BrainsCAN. The mission of BrainsCAN is to reduce the burden of brain disorders that affect sensory, cognitive, and motor functions. The initiative aims at extending and mobilizing knowledge of the mappings between neural circuits and mental functions to deliver evidence-based interventions. The Research Associate, Neuroimaging Analyst will apply their expertise and knowledge to support ongoing research projects directed by the principal investigators of the BrainsCAN initiative. The incumbent will become part of BrainsCAN’s Computational Core, which aims to develop new computational techniques for the analysis of behavioral, brain imaging, and neuronal data. The incumbent will play a lead role in training staff, students and postdoctoral fellows in the application of data analysis and modelling techniques. The incumbent will have developed an independent method-based research portfolio, and will support and operationalize new and innovative computational techniques. Working with individual laboratories, the incumbent will help to develop research and project plans, advise on data analysis techniques and statistical inference related to neuroimaging and electrophysiological research, and assist in the technical and statistical aspects of manuscripts and research reports. Deadline for applications: September 27th Further particulars: https://www.academicacareers.com/node/7227 Please contact me if you have further questions, Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Research associate position in matlab programming
by Tania Rinaldi Barkat Aug. 14, 2017

Aug. 14, 2017

Our lab, hosted by the Department of Biomedicine of Basel University, Switzerland, is currently seeking a research associate for a 6-month project. The role would be to write an analysis program in matlab for neuronal data from electrophysiological recordings, as well as analyze the data. JOB DESCRIPTION The first part of the project consists of writing an extension of a professional, user-friendly matlab program for the analysis of electrophysiological data based on an existing program we already have in the lab. The successful candidate will interact with experimentalists in our lab, understand their needs and produce a modular and user-friendly matlab program for extracellular neuronal recordings. The second part of the project consists of using this program to analyze data aimed at deepening our understanding of the brain. Start date is as soon as possible. The period of employment is 6 months, with possibility of extension. YOU ARE OUR NEW RESEARCH ASSOCIATE IF YOU: - Have extensive programming experience in matlab - Have previously worked with neuroscience data, ideally electrophysiological recordings - Have the dual ability of analyzing researchers’ need and translating it into code - Are a creative problem-solver - Are a self-starter and an independent researcher ABOUT THE LAB www.brainsoundlab.com The aim of our lab is to understand the role of specific neural circuits in making sense of sounds. We combine optogenetics, in vivo electrophysiology, voltage-sensitive dye imaging and behavioral assays to explore the functions of neuronal circuits in the mouse auditory cortex. To apply, please send your CV and a cover letter briefly summarizing your research interests to Tania Barkat (tania.barkat(a)unibas.ch) --------------------------- Tania Rinaldi Barkat Assistant Professor in Neurophysiology Basel University Department of Biomedicine, room 7001 Klingelbergstrasse 50-70 4056 Basel Switzerland +41 61 207 1638 www.brainsoundlab.com

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International Brain Laboratory Staff Positions Ads
by Zachary Mainen Aug. 11, 2017

Aug. 11, 2017

Dear all, Please see below 5 available positions for staff with the International Brain Lab. Dissemination through your contacts would be much appreciated. Best, Zach Mainen --- The International Brain Laboratory (https://www.internationalbrainlab.com/) is seeking 5 collaborators who will play key roles in a new large-scale international collaboration in brain research. The IBL combines the efforts of approximately 50 scientists in 20 laboratories toward understanding the brain-wide basis of a complex behavior. The project will involve recording the activity of millions of neurons in the working brain and building mathematical models of the resulting data. The data sets this project will produce are vast and complex, including physiological recordings, behavioural measurements, and video, all of which must be standardized into common formats, integrated into a single database, and subjected to quality control. These core positions will support the both experimental and theoretical work through the entire lifecycle of data, including acquisition, analysis, modeling and dissemination. Project Manager (PM) - The primary responsibilities of the PM will include ensuring delivery of key milestones, managing overall project budget and finances, facilitating project governance and internal communication, and liaising with funders, external agencies and partners. Candidates should have demonstrated success in project management of a comparable scale and a strong background in scientific research. Technical Manager (TM) - The TM will be responsible for ensuring reproducibility of experiments across labs by (1) helping to establish and maintain a common set of experimental apparatus for behavior and neural recordings and (2) establishing procedures for standardizing, monitoring and troubleshooting experimental conditions, including animal subjects, surgical procedures, materials, etc. The position will involve extensive travel between ten experimental laboratories at six institutions across the U.S. and Europe. The ideal candidate would have a PhD in neuroscience and very strong technical and experimental skills. Strong organizational and interpersonal skills are required. Prior experience in laboratory or project management is desirable. Data Coordinator (DC) - The DC will work closely with our contributing labs and scientific programming staff to ensure the integrity and organization of data collected by experimental labs. The ideal candidate would have a PhD in neuroscience, and extensive experience with large neurophysiological and behavioral datasets. Attention to detail and ability to work collaboratively are both essential. Strong computing ability is also important, including knowledge of relational databases, Python and MATLAB. Scientific MATLAB Programmer (SMP) - The SP will contribute to the design of applications and pipelines for organization, storage and analysis of this data. The job will involve building software and data infrastructure for this collaborative research project, and supporting it. The ideal candidate will have extensive experience with MATLAB and previous work with big data in scientific research. Knowledge of Python and relational databases and experience interfacing with experimental control hardware is desirable. Senior Scientific Programmer (SSP) - The SSP will lead the design of applications and pipelines for organization, storage and analysis of this data. The job will involve building software and data infrastructure, as well as a role in ensuring data integrity, working closely with data providers to ensure it meets project standards. The ideal candidate will have extensive experience with relational databases and Python. Experience with MATLAB, previous work with big data in scientific research, and experience interfacing with experimental control hardware would also be desirable. Remuneration will be competitive and commensurate with experience. There is considerable flexibility in base location within the U.S. and Europe. To apply, please send cover letter and CV to info(a)internationalbrainlab.com with subject: PositionAcronym LastName. Review of applications will begin immediately and continue until the position is filled, with an ideal start date of Sept.-Oct., 2017. --- Zachary F. Mainen, Ph.D. Champalimaud Neuroscience Programme Champalimaud Centre for the Unknown Av. Brasília s/n 1400-038 Lisbon Portugal +351 210 480 100 zmainen(a)neuro.fchampalimaud.org <zmainen(a)fchampalimaud.org> www.neuro.fchampalimaud.org/group/mainen @zmainen

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Postdoc Position in Retina Research / Computational Neuroscience
by Gollisch, Tim Aug. 11, 2017

Aug. 11, 2017

A postdoc position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The group studies information processing and neural coding in the neural network of the vertebrate retina, using a combination of electrophysiological and computational approaches. Experimental methods include extracellular multielectrode-array recordings and intracellular recordings from neurons in the isolated retina (mouse and salamander), using both wild-type retinas and optogenetic retina models of vision restoration therapy. A strong focus of the group is to combine these experiments with novel tools for data analysis and mathematical modeling. Our research group if part of the strong and lively neuroscience research community of Göttingen, including the university, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen and of the Collaborative Research Center "Cellular Mechanisms of Sensory Processing" (http://sfb889.uni-goettingen.de/) For more information about the research group, please visit the group's website: http://www.retina.uni-goettingen.de/. We are looking for a highly motivated scientist with a good background in electrophysiology or computational/theoretical neuroscience. Experience in both of these areas is a bonus, but not required. Experience in computer programming or in scripting of data analysis routines is also a plus. The position is for 2 years initially with the possibility for renewal. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV, a statement of what interests you about the group's work, and contact details for two references. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Prof. Dr. Tim Gollisch University Medical Center Goettingen, Dept. of Ophthalmology Waldweg 33, 37073 Goettingen Tel. +49 (0)551 39-13542 tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de> www.retina.uni-goettingen.de<http://www.retina.uni-goettingen.de>

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Aug. 11, 2017

Aug. 11, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Sanur - Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 19, 2018 in Sanur Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas Important Dates ################################################################### * Tutorial and workshop proposals (Submission) 15 September 2017 * Tutorial and workshop proposals (Decision) 30 September 2017 * Paper submission 2 November 2017 * Decision notification 31 December 2017 * Conference 17 - 19 April 2018 ################################################################### Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong kong Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Hendro Nurhadi, Institut Teknologi Sepuluh Nopember, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Zain, La Trobe University, Australia ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ##########################Sponsoring Organizations########################## * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ############################################################################

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Bernstein 2017 Workshop: "Multiscale modeling and simulation"
by Salvador Dura Aug. 10, 2017

Aug. 10, 2017

Dear All, We would like to bring your attention to the "Multiscale modeling and simulation" workshop at the Bernstein Conference 2017, Sept 12-13, Göttingen, Germany. Website: http://www.nncn.de/en/bernstein-conference/2017/satellite-workshops/multisc… Short abstract: Understanding brain function requires characterizing the interactions occurring across many temporal and spatial scales. Mechanistic multiscale modeling aims to organize and explore these interactions across these scales. Multiscale models can provide insights into how changes at the molecular and cellular levels affect dynamics at local networks and brain areas. At the highest levels, they allow us to connect neural activity to theories of behavior, memory and cognition. The recent introduction of large neuroscience projects in US and EU Brain Research through Advancing Innovative Neurotechnologies (BRAIN) and Human Brain Project (HBP) respectively provide an opportunity to rapidly gather new and more accurate data to incorporate into the multiscale models. This workshop will present some of the latest multiscale modeling tools and approaches in neuroscience, as well as representative examples of datadriven multiscale neural simulations. The workshop aims to encourage both computational and experimental neuroscientists to make use of multiscale modeling in their research. Organizers: Salvador Dura-Bernal and Bill Lytton (SUNY Downstate) Speakers: Tue, Sept 12: - Bill Lytton (SUNY Downstate) - Jean Pierre Changeux (Pasteur Institute) - Volker Steuber (University of Hertfordshire) - Robert McDougal (Yale University) - Salvador Dura-Bernal (SUNY Downstate) - Cliff C Kerr (University of Sydney) Wed, Sept 13: - Szabolcs Kali (Hungarian Academy of Science/HBP) - Marianne Bezaire (Boston University) - Daniel Durstewitz (ZI Mannheim) - Kael Dali (Allen Institute for Brain Science) We look forward to seeing you there! Best Salva -- Salvador Durá-Bernal, Ph.D. Research Assistant Professor State University of New York Downstate Medical Center

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postdoc position
by Jean Daunizeau Aug. 4, 2017

Aug. 4, 2017

Dear all, Please find below the description of an open postdoc position. Do not hesitate to contact me should you require additional information. Best, Jean. **** Postdoctoral position in computational cognitive neuroscience **** This position is available at the Brain and Spine Institute (Paris, France) <http://icm-institute.org/en/>, in the Motivation, Brain & Behaviour team <https://sites.google.com/site/motivationbrainbehavior/>, under the direction of Dr. Jean Daunizeau. The position will follow standard French salaries at INSERM. Expected starting date: Fall 2017. *Computational cognitive neuroscience* uses mathematical modelling as a tool to understanding how mental processes (e.g., perception, memory, attention, emotion, etc...) are controlled by brain circuits. Its breadth typically ranges from biological models of neural network activity to cognitive models of brain information processing, to machine learning approaches to neuroscience data. In line with this approach, the Motivation, Brain & Behaviour group addresses the issue of identifying the* neural bases of motivation in health and disease* with a strong multi-disciplinary focus. The successful candidate will team with students with very diverse academic backgrounds (from neurology, psychiatry, biology and psychology, to philosophy, to economics and mathematics). S/he will be expected to contribute to all aspects of the research, including computational modelling, as well as data collection and analysis. A non-exhaustive list of possible projects is provided here: https://sites.google.com/site/jeandaunizeauswebsite/students. Required skills: - *[Mandatory]* Ph.D. either in Cognitive Neuroscience or in Engineering (or related fields) - *[Mandatory]* Autonomy in programming in MATLAB, Python or C - *[Desired]* Experience in computational models of neural and/or cognitive processes - Fluency and solid writing skills in English are expected. French is not a requirement. Please apply to jean.daunizeau(a)gmail.com with a recent CV, a brief (1 page) summary of your previous research and a letter of motivation. -- Jean Daunizeau Motivation, Brain and Behaviour group (ICM) web: http://sites.google.com/site/jeandaunizeauswebsite/

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AoN Brainhack Warsaw 2017 - call for project proposals
by Natalia Bielczyk Aug. 4, 2017

Aug. 4, 2017

AoN Brainhack Warsaw 2017 November 18-19, 2017 University of Warsaw, Warsaw, Poland *— The call for proposals extended to 1st September 2017 — * On the weekend of 18-19th November 2017, the first edition of *AoN Brainhack* *Warsaw* will take place. During this two-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016). The venue and the exemplary projects are presented on our website: *https://brainhackwarsaw.github.io/ <https://brainhackwarsaw.github.io/>* Please note this Brainhack is a satellite event for the interdisciplinary Aspects of Neuroscience conference which will take place on 24-26th November 2017 in Warsaw. Participation in the conference is not mandatory but we encourage to also consider this. Important deadlines: Deadline for project proposals: September 1st, 2017 Announcement of projects: September 15th, 2017 Participant registration starts: September 1st, 2017 Deadline for participant registration: November 1st, 2017 At the moment, the *call for project proposals* is open. The proposals can include various forms of a group activity, e.g., data analysis, app development, a two-day discussion club, developing a new software etc. The organizers will provide a few openly available datasets to the project authors, but developing projects using private datasets is also welcome. *Please send the project proposals and all the related questions to the mailing address: **brainhackwarsaw(a)gmail.com <brainhackwarsaw(a)gmail.com>* Also, please team up with us! Join our channel #brainhack-warsaw-2017 on Brainhack Slack project (https://brainhack-slack-invite.herokuapp.com) for the updates, and share your own ideas with us! We are looking forward to working with you at the AoN Brainhack Warsaw! *The AoN Brainhack Warsaw 2017 team:* Natalia Bielczyk, MSc, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands (natalia.bielczyk(a)gmail.com) Krzysztof Bielski, MSc, Faculty of Psychology, University of Warsaw, Warsaw, Poland Michał Bola, PhD, Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Warsaw, Poland Daniel Borek, MSc, Faculty of Physics, University of Warsaw, Warsaw, Poland, (dtborek@g <norbert.kopco(a)upjs.sk>mail.com) Beata Goźlińska, BSc, Faculty of Physics, University of Warsaw, Warsaw, Poland

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Post-doc positions in analyses of electron microscopic images from the brain (Kyoto U, Japan)
by Hidetoshi Urakubo Aug. 4, 2017

Aug. 4, 2017

Dear members of Comp-neuro mailing list, Integrated Systems Biology Lab at Kyoto University invites applications for research position for analyses of three-dimensional microscopic images and/or functional magnetic images (fMRI, for example) from the animal/human brain, with a strong motivation into systems/computational neuroscience. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Laboratory, Department of Systems Science, Graduate School of Informatics, Kyoto University Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan Phone: +81-75-753-4908 Fax: +81-75-753-4907 Email: urakubo-h(a)sys.i.kyoto-u.ac.jp ============================================== [[[ Post-doc positions in analyses of electron microscopic images from the brain ]]] We are seeking a highly motivated post-doc researcher, with a background in 3d/bio image processing and/or computational neuroscience. We are conducting research projects, “Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS; up to 2019/3/31; http://brainminds.jp/en/ ; Phil. Trans. R. Soc. B 370: 20140310),” and “Brain Information Dynamics underlying Multi-area Interconnectivity and Parallel Processing (Grant-in-Aid for Scientific Research on Innovative Areas, MEXT, Japan; up to 2022/3/31).” Those projects aim to map the structure and function of neuronal circuits to understand the vast complexity of the human/marmoset/rodent brains. The candidate will work on the projects on 3D reconstitution of marmoset brain atlas from 3D microscopic images (from EM and/or Optical) under collaboration with experiment teams. For this position, a PhD or a MD degree, a proven track record of peer-reviewed publications, and solid communication skills in English and/or Japanese are essential. All projects are done with our tenure track and post-doc researchers of various backgrounds including systems biology, bioinformatics, computational biology, mathematical engineering, and machine learning. Our laboratory also has a strong collaboration with other laboratories in Advanced Telecommunications Research Institute International (ATR) and RIKEN Brain Science Institute. [Job title and Job description] Title is a Full-time Researcher / Full-time Research Engineer The position is open after October 1st 2016 (negotiable) Work location is Yoshidahonmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501 The contract is annually renewable up to the end of those projects based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto U regulations (Kyoto University’s regulations). [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Number of openings] One or two [Deadline for application] Nov 1st (will remain open if positions are not filled) [Send application to] Shin Ishii Integrated Systems Biology Laboratory, Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shin Ishii <ishii-secr [at] sys.i.kyoto-u.ac.jp> http://ishiilab.jp/kyoto/en/

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Postdoctoral positions in systems/computational neuroscience at the University of Pennsylvania
by Maria Geffen Aug. 3, 2017

Aug. 3, 2017

Postdoctoral positions in systems/computational neuroscience at the University of Pennsylvania The Geffen Laboratory of Auditory Coding at the University of Pennsylvania ( http://www.med.upenn.edu/hearing ) has an opening for an experimental and a computational neuroscience postdoctoral fellow positions. We are looking for energetic, talented, friendly, enthusiastic and creative researchers who have recently completed or are about to complete their PhD. Qualifications: experience in systems, computational or molecular neuroscience methods; excellent quantitative skills and proficiency or willingness to learn scientific programming, such as Matlab or python. Our laboratory seeks to deepen our understanding of neuronal circuits and dynamics of neuronal populations contributing to auditory perception and learning. We use state-of-the-art methods including two-photon imaging of Calcium activity in behaving, head-fixed rodents, large-scale electrophysiological chronic and acute recordings, optogenetic, pharmacological and behavioral techniques, in combination with computational modeling and theoretical work. Projects underway in the laboratory include: investigating intra-cortical and subcortical circuits supporting auditory adaptation to statistical regularities of sounds; identifying neuronal circuits for hearing in the presence of noise and in complex acoustic environments; unraveling neuronal circuits controlling learning-driven changes in auditory perception. The Geffen Laboratory is a creative, productive and collaborative group, and the postdoctoral fellows will have many opportunities to interact and collaborate with members of our and other laboratories across the Penn campus and beyond. We are part of the Hearing Research Center, the Computational neuroscience initiative (https://cni.upenn.edu/) and the Mahoney Institute of Neurosciences (http://www.med.upenn.edu/ins/) University of Pennsylvania is a To apply, please send a CV along with a cover letter briefly summarizing your research interests and pdfs of recent publications to mgeffen(a)med.upenn.edu <mailto:mgeffen@med.upenn.edu> .

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CBIC 2017 deadline extension (15.08.2017)
by Luis Martí Aug. 1, 2017

Aug. 1, 2017

Dear colleagues, Please disseminate to interested parties and apologies for multiple postings. All the best, LM XIII Brazilian Congress on Computational Intelligence (CBIC 2017) ----------------------------------------------------------------- Call for Papers - http://www.cbic2017.org On behalf of the organizing committee, it is our pleasure to invite you to the XIII Brazilian Congress on Computational Intelligence -XIII Congresso Brasileiro de Inteligência Computacional- (CBIC 2017) that will take place at the Institute of Computing of the Universidade Federal Fluminense in Niterói, Rio de Janeiro, Brazil from 30 October to 1 November 2017. CBIC 2017 aims to provide a high-level international forum for scientists, researchers, engineers, professionals, and educators to disseminate their latest research results and exchange views of the future research directions in the area of computational intelligence. In this edition of CBIC, we have the pleasure of having top-notch researchers as keynote speakers: - Marc Schoenauer (INRIA-Saclay/LRI/Université Paris-Saclay, France), - José Manuel Molina López (Universidad Carlos III de Madrid, Spain), and - José A. Lozano (University of the Basque Country and Basque Center for Applied Mathematics, Basque Country, Spain). Paper submissions should be 10-12 pages long, written in English, Portuguese or Spanish using the Springer LNCS style. Topics of interest of CBIC are organized in three tracks (but not limited to them): - Evolutionary, swarm and nature-inspired computation: genetic algorithms, evolutionary multi-objective optimization, estimation of distribution algorithms, genetic programming, artificial immune systems, swarm intelligence, collective intelligence, evolvable hardware, bio-inspired methods, etc. - Neural and machine learning systems: artificial neural networks, deep learning, machine learning, molecular and quantum computing, complex networks, reinforcement learning, hybrid systems, etc. - Fuzzy and stochastic reasoning: fuzzy systems, fuzzy control and decision making, uncertainty analysis, rough sets, fractals, multi-agent systems, game theory, etc. For submission instructions and online submission forms go to http://www.cbic2017.org/Submissions. Important dates --------------- - Workshop and tutorial proposal deadline: 15.07.2017 UTC-12:00 - Workshop and tutorial acceptance notification: 30.07.2017 - Paper submission deadline (extended): 15.08.2017 UTC-12:00 - Paper acceptance notification: 01.09. 2017 - Registration opens: 07.09.2017 - Early registration ends: 01.10. 2017 UTC-12:00 - CBIC 2017 conference: 30.10 — 01.112017 Looking forward to welcoming you in Niterói, Luis Martí - General Chair Nayat Sánchez-Pi - Program Chair

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5-year research fellow position in Neuromorphic Machine Learning
by Schmuker, Michael Aug. 1, 2017

Aug. 1, 2017

Applications are invited for a 5-year research position in the Biocomputation group at the University of Hertfordshire, under the supervision of Dr Michael Schmuker. This position offers the unique opportunity to explore the interdisciplinary field of neuromorphic machine learning, branching out into artificial intelligence, computational neuroscience, robotics and data science. We are looking for excellent candidates who are keen to explore neuro-inspired machine learning and artificial intelligence using specialised hardware systems such as SpiNNaker and BrainScaleS. For more details and to apply please see the advert at http://www.jobs.herts.ac.uk (reference 014832, deadline: 21st August 2017). — Dr Michael Schmuker Senior Lecturer (Assistant Professor) Biocomputation group University of Hertfordshire http://biomachinelearning.net

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PhD position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium
by Georgios A. Keliris July 31, 2017

July 31, 2017

PhD position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium The Faculty of Pharmaceutical, Biomedical and Veterinary is seeking to fill a full-time (100%) vacancy (m/f) in the Department of Biomedical Sciences (Bio-Imaging Lab) under the supervision of Prof. Georgios A. Keliris PhD position investigating the role of neuromodulation in learning and memory The goal of the project is to understand the neural mechanisms modulating learning and memory in rats. A multimodal approach and combination of state-of-the-art methods (MRI-imaging, electrophysiology, optogenetics and pharmacogenetics) will be used to uncover both the global network as well as specific cellular mechanisms. This approach will also be employed in animal models of neurodegenerative diseases such as Alzheimer’s Disease. Job description · You prepare a doctoral thesis in the field of neuroscience / biomedical imaging. · You publish scientific articles related to the research project of the assignment. Profile and requirements · You hold a master degree in neuroscience, biomedical sciences, or related fields. · You can submit outstanding academic results. · Students in the final year of their degree can also apply. · Foreign candidates are encouraged to apply. · Your academic qualities comply with the requirements stipulated in the university’s policy <https://www.uantwerp.be/en/about-uantwerp/mission-vision/three-core-tasks/r…>. · You are quality-oriented, conscientious, creative and cooperative. · You are fluent in English and have strong communication skills, both in writing and oral presentations · You are a team player · Strong background in one or more of: imaging, computational neuroscience, mathematics, programming (e.g. Matlab/Python/C/…) will be considered as a bonus We offer · a doctoral position for a period of one year, with the possibility of renewal for a further three-year period after positive evaluation; · the start date is as soon as possible · a dynamic and stimulating work environment. How to apply? · Applications should be submitted to Georgios.Keliris(a)uantwerpen.be <mailto:Georgios.Keliris@uantwerpen.be> and should include a copy of your CV and a cover letter. · A pre-selection will be made from amongst the submitted applications. · More information about the application and the position can be obtained from Prof. Georgios A. Keliris

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Postdoctoral position: cortical microcircuit dynamics
by Okun, Michael (Dr.) July 28, 2017

July 28, 2017

Applications are invited for a postdoctoral position to carry out research on cortical microcircuit dynamics. Research will involve analysis and modelling of cortical population recordings, focusing on changes occurring in the infraslow frequencies (0.01 - 1 Hz). The position is at the Centre for Systems Neuroscience, University of Leicester, UK. The project will involve advanced computational and experimental approaches - our experimental facilities include in vivo electrophysiology and 2-photon microscopy setups. Additional details on the PI and the Centre can be found at www2.le.ac.uk/departments/npb/people/mo178 and www.le.ac.uk/csn An ideal applicant would have a quantitative background and strong computational, programming and statistical skills (e.g. a PhD in computational/systems neuroscience, applied mathematics, computer science or related subjects). Previous experience in systems neuroscience research is a significant advantage. Start date is flexible and candidates will be considered on a rolling basis, however anyone applying before 14th of September is guaranteed to be considered. Funding for this position is available for (at least) 3 years. Leicester has a large student community thanks to its two universities, and is within easy reach (~1 hour by train) of London, Birmingham and Sheffield. Interested applicants are most welcome to contact Michael Okun (m.okun(a)le.ac.uk)

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PhD Scholarship on Model-based Cognitive Neuroscience
by Jelmer Borst July 27, 2017

July 27, 2017

PhD Scholarship on Model-based Cognitive Neuroscience The Institute of Artificial Intelligence of the University of Groningen offers a four-year scholarship for a PhD position on model-based cognitive neuroscience. Model-based cognitive neuroscience is the area of research that bridges the disciplines of computational cognitive modeling and cognitive neuroscience. Cognitive models – be it symbolic process models, mathematical models, or neural network models – are notoriously hard to evaluate based on behavioral measures alone. For that reason, researchers have turned to neuroscience (M/EEG, fMRI) as an additional source of information. At the same time, neuroimaging data is often so complex that it is difficult to fully account for with traditional analysis methods. As a solution, cognitive and mathematical models have been used within the analysis stream to interpret neural measures directly. This dual approach, using neuroscience to inform models and models to inform neuroimaging analyses, is very powerful, and has led to the emerging field of model-based cognitive neuroscience (see a recent special issue of the Journal of Mathematical Psychology for an introduction: Palmeri, Love, & Turner, 2017; Turner, Forstmann, Love, Palmeri, & van Maanen, 2017). The PhD position is available in the cognitive modeling group, under supervision of Jelmer Borst. The goal of our group is to better understand cognitive processes in the human mind. To achieve this, we combine computational modeling with fMRI, EEG, and MEG data, and also apply machine learning techniques to analyze neural data. Top candidates will be invited to write and develop their own research project within the general scope of this research line. The selection procedure for the scholarship is as follows: 1. Candidates apply by submitting a cover letter and CV (see below for details). 2. Based on the cover letters, several candidates will be invited to write a short research proposal within the topic of model-based neuroscience. 3. These candidates will be asked to present this proposal as part of the job interview. 4. After the selection, the candidate’s proposal will be further developed in collaboration with the PhD advisors: Jelmer Borst, Niels Taatgen, and Hedderik van Rijn. Qualifications Successful candidates will have completed a Master’s degree (or equivalent) in Cognitive Neuroscience, Artificial Intelligence, or another field of science relevant for the position. The ideal candidate has experience with M/EEG or fMRI and cognitive modeling, and has strong programming skills. Conditions The PhD student will be enrolled in the PhD Scholarship Programme and receive a scholarship of € 2027 per month (gross) from the University of Groningen for a period of four years. Date The preferred start date is November 1, 2017, but this can be postponed to February 1, 2018. Application Please see the attachment for details on the application procedure. The application deadline is August 30. For more information, contact Jelmer Borst (j.p.borst(a)rug.nl <mailto:j.p.borst@rug.nl>). http://www.rug.nl/education/phd-programmes/phd-scholarship-programme/phd-sc… <http://www.rug.nl/education/phd-programmes/phd-scholarship-programme/phd-sc…> -- Jelmer Borst Assistant Professor University of Groningen Dept. of Artificial Intelligence E: j.p.borst(a)rug.nl <mailto:j.p.borst@rug.nl> W: http://www.jelmerborst.nl/ <http://www.jelmerborst.nl/>

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Neuroinformatics 2017 in Kuala Lumpur, Malaysia, on August 20-21!
by INCF Congress July 27, 2017

July 27, 2017

Neuroinformatics 2017 will be held in Kuala Lumpur, Malaysia, on August 20-21! We have an exiting program lined up, you can see the full program and speakers here: http://neuroinformatics2017.org/program/ The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. More information: http://neuroinformatics2017.org/ Please spread this information to anyone you feel might be interested in attending. We look forward to seeing you in Kuala Lumpur! Best wishes, the INCF Secretariat *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF at www.incf.org <http://www.incf.org>*

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Human Brain Project: calls are open to join the project in the next project phase
by "Lührs, Anna" July 27, 2017

July 27, 2017

Dear colleagues, As most of you know, the Human Brain Project (HBP) is a Horizon2020 FET Flagship project with a duration of 10 years. One of the main objectives is to build and operate a European Scientific Research Infrastructure for brain research, cognitive neuroscience and other brain-inspired sciences. The HBP recently opened four Calls for Expression of Interest (CEoI), through which new partners can join the HBP Consortium in the next project phase, April 2018 - March 2020. One of the Calls is about "Co-designing the HBP digital infrastructure for advancing the understanding of multilevel brain organisation”. The available budget of EUR 1,839,424.00 will be split between two selected proposals. The submission deadline for this and the others calls is 30 September 2017, 17:00 CEST. More information about the call mentioned above: http://opencalls.humanbrainproject.eu/forms/16/overview <http://opencalls.humanbrainproject.eu/forms/16/overview> The overview of all open calls is published here: https://www.humanbrainproject.eu/en/collaborate/open-calls/ <https://www.humanbrainproject.eu/en/collaborate/open-calls/> Questions regarding the CEoI about co-designing the HBP infrastructure can be sent to: codesigning-hbp(a)opencalls.humanbrainproject.eu <mailto:codesigning-hbp@opencalls.humanbrainproject.eu> Best regards, Anna Lührs Simulation Lab Neuroscience Division HPC in Neuroscience Phone: +49 2461 61 8931 Jülich Supercomputing Centre E-mail: a.luehrs(a)fz-juelich.de Institute for Advanced Simulation http://www.fz-juelich.de/ias/jsc Forschungszentrum Jülich GmbH ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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One PhD and one PostDoc Position in Theoretical Neuroscience at the Georg-August University of Göttingen available
by Tetzlaff, Christian July 26, 2017

July 26, 2017

The research groups of Prof. Florentin Wörgötter and Dr. Christian Tetzlaff offer one fully-funded PhD and one fully-funded PostDoc position for 4 years. Both groups are based in the Faculty of Physics of the University of Göttingen and work interdisciplinary on the field of self-organizing neural networks with focus on learning, plasticity, and memory. The research goals of both positions are to develop and analyze new theoretical models of learning-related molecular dynamics in dendritic spines. These projects will be in direct cooperation with experimental groups from the Göttingen Campus (e.g., together with the labs of Prof. Silvio Rizzoli and Prof. Stefan Hell) and they are part of a new established collaborative research center (SFB 1286 - "Quantitative Synaptology") at the University of Göttingen, Medical Center Göttingen, Max Planck Institute for Dynamics and Self-Organization, and Max Planck Institute for Biophysical Chemistry. The PhD student will have the opportunity to become member of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences. Ideal candidates have experience and interest for mathematical and computational methods as well as for fundamental cell biology. The closing date is 30th of September 2017. Start date is as soon as possible. Applications should be send electronically (preferably one pdf-document) to: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de> and worgott(a)gwdg.de<mailto:worgott@gwdg.de>

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PhD and Postdoc positions in cognitive neuroscience in Bordeaux
by Alexandre Zenon July 25, 2017

July 25, 2017

PhD and Postdoc positions in Cognitive Neuroscience in Bordeaux, France Applications are invited for a PhD and a post-doctoral position in cognitive neuroscience at the INCIA, Bordeaux, France. The 3-year positions are funded by the Junior Chair from IDEX Bordeaux. The successful candidates will work on the theoretical development and experimental validation of a neurobiological model of cognitive effort and cognitive fatigue, based on information theory. This work will involve behavioural experiments, neuroimaging and computational modelling. Requirements: Postdoctoral applicants must hold a PhD in neuroscience with strong experience in computational modelling and/or neuroimaging. PhD applicants must hold a Master's degree in a neuroscience-related field (e.g. medicine, biology, psychology, ...). Previous experience in research and data analysis will be valued. Expected start date: Autumn 2017 Send applications with CV, 2 letters of recommendation and motivation letter to alexandre.zenon(a)u-bordeaux.fr<mailto:alexandre.zenon@u-bordeaux.fr>

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Please post: postdoctoral fellowship available
by Andy Edwards July 25, 2017

July 25, 2017

Postdoctoral fellowship in computational neuroscience: Simula, Oslo Simula Research Laboratory is pleased to offer a 4-year postdoctoral fellowship in computational modelling of multiscale processes in neuroplasticity. Please see the full position description and requirements at our applications page: https://www.simula.no/about/job/postdoctoral-fellowship-neur al-systems-modeling Andy Edwards Senior Scientist Simula Research Laboratory

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MBCC 2017: ICCV Workshop on Mutual Benefits of Cognitive and Computer Vision - Call For Papers
by Christopher Kanan July 23, 2017

July 23, 2017

## CALL FOR PAPERS (CfP) ## ICCV International Workshop on ‘Mutual Benefits of Cognitive and Computer Vision (MBCC)’ 29 October 2017 Venice, Italy (https://sites.google.com/site/mbcc2017w/home) _____________ Aim and Scope As researchers working at the intersection of biological and machine vision, we have noticed an increasing interest in both communities to understand and improve on each other’s insights. Recent advances in machine learning (especially deep learning) have led to unprecedented improvements in computer vision. These deep learning algorithms have revolutionized computer vision, and now rival humans at some narrowly defined tasks such as object recognition (e.g., the ImageNet Large Scale Visual Recognition Challenge). In spite of these advances, the existence of adversarial images (some of which have perturbations imperceptible to humans) and rather poor generalizability across datasets point out the flaws present in these networks. On the other hand, the human visual system remains highly efficient at solving real-world tasks and capable of solving many visual tasks. We believe that the time is ripe to have extended discussions and interactions between researchers from both fields in order to steer future research in more fruitful directions. This workshop will compare human vision to state-of-the-art machine perception methods, with specific emphasis on deep learning models and architectures. Our workshop will address many important questions. They include: 1) What are the representational differences between human and machine perception? 2) What makes human vision so effective? and 3) What can we learn from human vision research? Addressing these questions is not as difficult as previously thought due to technological advancements in both computational science and neuroscience. We can now measure human behavior precisely and collect huge amounts of neurophysiological data using EEG and fMRI. This places us in a unique position to compare state-of-the-art computer vision models and human behavioral/neural data, which was impossible to do a few years ago. However, this advantage also comes with its own set of problems: Which task/metric to use for comparison? What are the representational similarities? How different are the computations in a biological visual system when compared to an artificial vision system? How does human vision achieve invariance? This workshop is a great opportunity for researchers working on human and/or machine perception to come together and discuss plausible solutions to some of the aforementioned problems. ______ Topics for submission include but are not limited to: - architectures for processing visual information in the human brain and computer vision (e.g. feedforward vs feedback, shallow vs deep networks, residual, recurrent, etc) - limitations of existing computer vision/deep learning systems compared to human vision - learning rules employed in computer vision and by the brain (e.g. unsupervised/semi-supervised learning, Hebb rule, Spike timing dependent plasticity) - representations/features in humans and computer vision - tasks/metrics to compare human and computer vision (e.g. eye fixation, reaction time, rapid categorization, visual search) - new benchmarks (e.g. datasets) - generalizability of machine representation to other tasks - new techniques to measure and analyze human psychophysics and neural signals - the problem on invariant learning - conducting large-scale behavioral and physiological experiments (e.g., fMRI, cell recording) ______________ Invited Speakers We have invited leading researchers from both Cognitive Science and Computer Vision to inspire discussions and collaborations. 1. Michael Tarr, Carnegie Mellon University 2. Davide Zoccolan, International School for Advanced Studies (SISSA), Trieste, Italy ___________________ Submission Guidelines We are inviting both full paper (5-8 pages) and extended abstract (2-4 pages) submissions to the workshop. Submitted papers must follow the ICCV paper format and guidelines (available on the ICCV 2017 webpage). All submissions will be handled via the CMT website: https://cmt3.research.microsoft.com/MBCC2017/ Full papers: The submitted papers should have a maximum length of 8 pages, including figures and tables; additional pages must contain only cited references. The review will be double-blind. Please make sure all authors or references to authors are anonymized. Full paper submissions must not have been published before. Extended abstracts: We invite submissions of extended abstracts of ongoing or already published work as well as demos or prototype systems (ICCV format). Authors are given the opportunity to present their work to the right audience. The review will be single-blind. ______________ Important Dates Full Paper submission: August 1st, 2017 Extended Abstract submission: August 5th, 2017 Notification of acceptance: August 15th, 2017 Camera-ready paper due: September 30th, 2017 Workshop: October 29th, 2017 (Morning Session) _____________________________ Workshop Organizing Committee Ali Borji, University of Central Florida Pramod RT, Indian Institute of Science Elissa Aminoff, Fordham University Christopher Kanan, Rochester Institute of Technology _______ Contact mbccw.iccv2017(a)gmail.com

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BCBT2017 Summer School. Registration deadline August 1st!
by BCBT, Bústia Compartida July 23, 2017

July 23, 2017

*Registration deadline postponed: 1 August 2017* For more information on how to apply, please go to BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> ------------------------------ ------------------------------------------------------------------ *Barcelona Cognition, Brain and Technology Summer School -BCBT2017* University Pompeu Fabra, Barcelona, Spain. 28 August - 8 September 2017 BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> Join us for the 10th edition of *"Barcelona Cognition, Brain and Technology summer school - BCBT2017 *" be held 28 August-8 September 2017 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). This year the school is supported by the ERC project CDAC <http://specs.upf.edu/projects/2810> that investigates the role of consciousness in adaptive behavior combining empirical, computational and robot-based approach. BCBT is also supported by EPISENSE <https://www.humanbrainproject.eu/sp3>, a subproject of the Human Brain Project <https://www.humanbrainproject.eu/>(HBP) that investigates brain mechanisms of perception and memory. This is the 10th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures <https://www.youtube.com/user/ConvergentScienceNw/playlists> are available online with the BCBT *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2017 edition, we plan a *1st week* of the school addressing *Neural basis of Consciousness *while the *2nd week* will include presentations aimed at the investigation of *Evolutionary and Developmental aspects of nervous systems and behavior.* Friday 8 is reserved for the presentation of the student projects to which everybody is invited. *BCBT is organized by* Paul Verschure, ICREA and University Pompeu Fabra Barcelona, ES, Tony Prescott, Sheffield University, UK Anna Mura, University Pompeu Fabra Barcelona, ES

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NeuroMorpho.Org v7.2 released July 19th, 2017
by NeuroMorpho Administrator July 21, 2017

July 21, 2017

Dear colleagues, We’re pleased to announce the July 19, 2017 release of Version 7.2 of NeuroMorpho.Org<http://neuromorpho.org/>, adding 7721 reconstructions from 83 new datasets. The repository now provides access to 70,025 cells and passed 7 million downloads in 163 countries. Please visit the What’s new page<http://neuromorpho.org/WIN.jsp> for details on the added data and other updates. The literature coverage was also updated to include publications through June 2017. We are continuously grateful to all the data contributors<http://neuromorpho.org/acknowl.jsp#DC> who freely share their hard-won tracings with the community. We appreciate any and all feedback and comments. Our apologies if you receive multiple versions of this message through cross-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/acknowl.jsp#NMO> ---------------- Giorgio Ascoli<http://krasnow1.gmu.edu/cn3/ascoli>, PhD University Professor Bioengineering Department<http://bioengineering.gmu.edu/>, Volgenau School of Engineering<http://volgenau.gmu.edu/> Neuroscience Program<http://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study<http://krasnow1.gmu.edu/> Director, Center for Neural Informatics, Structures, & Plasticity<http://krasnow1.gmu.edu/cn3> MS2A1 - George Mason University<http://gmu.edu/>, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of “Trees of the Brain, Roots of the Mind<http://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>” (MIT Press, 2015<http://mitpress.mit.edu/books/trees-brain-roots-mind>) Founding Editor-in-Chief, Neuroinformatics<http://link.springer.com/journal/12021>

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8th NeuralEnsemble CodeJam workshop
by Andrew Davison July 21, 2017

July 21, 2017

Dear colleagues, You are invited to participate in the 8th NeuralEnsemble CodeJam workshop, which will take place 13th-15th September 2017 in Lausanne, Switzerland. http://neuralensemble.org/meetings/CodeJam8/ The goal of the CodeJam is to catalyze open-source, collaborative software development in computational and systems neuroscience and neuroinformatics, by bringing together researchers, students and engineers to share ideas, present their work, and write code together. Mornings are dedicated to invited and contributed talks, leaving the afternoons free for discussions, tutorials and code sprints. CodeJam #8 is sponsored by the Human Brain Project Best regards, Andrew -- Andrew Davison, PhD Unité de Neurosciences, Information et Complexité (UNIC) Centre National de la Recherche Scientifique 1, avenue de la Terrasse 91198 Gif sur Yvette France Tel: +33 1 69 82 34 51 http://www.andrewdavison.info/

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PhD studentship in Computational Neuroscience/Machine Learning
by Vassilis Cutsuridis July 20, 2017

July 20, 2017

PhD Position in Computational Neuroscience/Machine learning MLearn Research Group School of Computer Science University of Lincoln UK Applications are invited for a PhD position in the MLearn Research Group at the University of Lincoln. Projects involve the development and simulation of models of neurons and neuronal networks hippocampal memory functions (Cutsuridis V, et al. (2010). Encoding and retrieval in the hippocampal CA1 microcircuit model. *Hippocampus*, 20(3): 423-446) <http://vassiliscutsuridis.com/docs/Journal_papers/CutCobGraHippo2010.pdf> and/or applications of machine learning (deep learning) techniques for the analysis of data. A description of our research interests and a list of publications can be found on our webpage (http://mlearn.lincoln.ac.uk/) Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). This studentship is only open to UK and EU students. The ideal candidate should be highly motivated, technically skilled, a team player and driven to push forward the development of the next generation of deep associative memory neural-networks. Your written and spoken English skills should be excellent. As a PhD student, you may also have the opportunity to teach as a demonstrator in the School of Computer Science. Research in Computer Science at the University of Lincoln has been recognised as internationally excellent and world leading. The School of Computer Science provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Lincoln, two hours north of London. Please contact Dr Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) or Prof. Stefanos Kollias (skollias(a)lincoln.ac.uk) for informal enquiries. If you’re interested in this position and you would like to apply, please send your CV, statement of research interests, three reference letters and a photo to Dr. Vassilis Cutsuridis: vcutsuridis(a)lincoln.ac.uk Applications will be assessed on a rolling basis, so please apply as soon as possible. Kind regards, Vassilis --- Dr Vassilis Cutsuridis School of Computer Science University of Lincoln Lincoln LN6 7TS U.K. Tel: +44 (0) 1522 83 5107 Email: vcutsuridis(a)lincoln.ac.uk Web: http://staff.lincoln.ac.uk/vcutsuridis Personal Web: http://www.vassiliscutsuridis.com/

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Neuromodulation of Neural Microcircuits NM2 Conference 2017
by Ramaswamy Srikanth July 20, 2017

July 20, 2017

We are delighted to announce the upcoming <https://nm2.epfl.ch> Neuromodulation of Neural Microcircuits (<https://nm2.epfl.ch>NM2) Conference 2017<https://nm2.epfl.ch>. The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: • Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits • Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease • Integrate knowledge to build a unifying view of the neuromodulation of different brain regions • Inform and attract new talent to drive forward neuromodulation research • Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program<https://nm2.epfl.ch/page-145616-en.html> with a stimulating lineup of speakers<https://nm2.epfl.ch/page-145624-en.html>! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration<https://nm2.epfl.ch/page-145625-en.html> includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to apply for several travel awards<https://nm2.epfl.ch/page-146294-en.html> by submitting poster abstracts<https://nm2.epfl.ch/page-146294-en.html>. Some abstracts will be selected for flash talks. Early bird registration is open until July 31st, 2017. Abstract submission is open until August 13th, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten [cid:CCBC7D9D-9041-4146-88BA-CC744BDBB811@epfl.ch]

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