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Onsite interviews at SfN for Neural Data Analytics - Post Docs, Staff Scientists and Electrical Engineers
by Platt, Jo Ann Oct. 24, 2016

Oct. 24, 2016

Join our team to revolutionize medicine. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at the 2016 Neuroscience Meeting in San Diego for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt(a)northwell.edu for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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NIH BRAIN THEORIES--POSTDOCTORAL POSITION
by Stephen Jose Hanson Oct. 24, 2016

Oct. 24, 2016

NIH Post-doctoral Fellowship in BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Stephen José Hanson’s in the Department of Psychology and in RUBIC (Rutgers Brain Imaging Center) at Rutgers University, Newark, N.J. USA. The focus of research and training is in the area of computational neuroscience, and the development of brain network models based on graphical model selection using dynamical search procedures and the modeling of brain signals arising from neuroimaging data (e.g. fMRI). These projects will be performed in the lab of Dr. Hanson and in conjunction with Dr. Glymour’s (CMU) causal discovery research group. The ideal candidate will have a strong background in computation, statistics, probability theory, multivariate analysis and signal processing. Programming skill sets ( e.g., C++, R, Matlab, Debian, python) would be key to a successful candidate. Additionally, having background in neuroscience, neuroimaging or brain science more generally would be important to a successful application. This is a 2 year position with a 3 rd year possible. Starting date is flexible and with earliest start by December 1. Applications will be accepted until a candidate is hired. Inquiries should be addressed to Stephen José Hanson (jose(a)rubic.rutger s.edu). Please also send applications including a CV, statement of research interests, and the names and full contact details of three referees to jose(a)rubic.rutgers.edu. Relevant publications include: Ramsey J., Hanson S.J. Hanson C., Halchenko Y.O., Poldrack R.A., & Glymour C. (2010). Six problems for causal inference from fMRI. Neuroimage, 49, 1545-1558. Hanson, C., Hanson, S.J., Ramsey, J. & Glymour, C. (2013) Atypical effective connectivity of social brain networks in individuals with autism. J. Brain Connect. 3(6):578-89. Hanson, S. J. & Halchenko, Y. O. (2008). Brain reading using full brain support vector machines for object recognition: there is no face- identification area. Neural Computation, 20, 486-503 Poldrack, R.A., Halchenko, Y., & Hanson, S.J. (2010). Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychological Science, 20, 1364-1372 Ramsey, J., Glymour, M., Sanchez-Romero, R. and Glymour, C. (in Press) A million variables and more: The fa st greedy search algorithm for learning high dimensional graphical causal models, with an application to functional magnetic resonance images. International Journal of Data Science and Analytics. Rutgers 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, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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PhD position in Oxford
by Rafal Bogacz Oct. 24, 2016

Oct. 24, 2016

Dear Colleagues, Applications are invited from UK or EU residents for doctoral studies in computational neuroscience, to start in October 2017. The project will be supervised by Rafal Bogacz and will be carried out within the interdisciplinary team of the MRC Brain Network Dynamics Unit. The research can focus on areas investigated by Rafal Bogacz's Group, including: - models of decision making in the basal ganglia - optimising deep brain stimulation - predictive coding models of the cortex Candidates must have a very strong mathematical or computational background and an excellent undergraduate degree in a relevant discipline (e.g. computer science, engineering, mathematics, physics or neuroscience). An undergraduate 1st class or upper 2nd class degree (or equivalent grade) is required for graduate entry into Oxford. The minimum standards for English apply for applicants. This PhD (DPhil) studentship is funded by the Medical Research Council. To be eligible for a full award (stipend in addition to university/college fees) a student must have settled status in the UK, and must have been ‘ordinarily resident’ in the UK for three years prior to the start of the studentship. For further details about student eligibility requirements for full and fees-only awards, please see: http://www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/stude… Formal applications must be made via the University online application system. The relevant course code is: Doctor of Philosophy in Clinical Neurosciences – RD_CU1. In the covering letter, please describe the research you would like to conduct and clarify how your experience and skills would help you in that work. The closing date for applications is 12.00 noon on Friday 13th January 2017. Best wishes, Rafal

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Postdoctoral position in theoretical neuroscience - machine learning (RIKEN-BSI Japan)
by Andrea Benucci Oct. 19, 2016

Oct. 19, 2016

RIKEN Brain Science Institute - Japan Laboratory for Neural Circuits and Behavior www.benuccilab.net (Laboratory Head: Andrea Benucci) Research field Our laboratory studies the neural basis of sensory processing and decision-making in mice trained in behavioral tasks. We do so using a combination of computational and experimental approaches (electrophysiology, fluorescence imaging, and optogenetics). Job title and description: Postdoctoral positions The project will focus on using theoretical approaches based on machine learning (specifically on RNN) to capture key computational aspects of cortical processing in large neuronal populations. This work will be done in close collaboration with experimentalists to jointly design new experimental paradigms based on the theoretical simulations. Qualifications We seek exceptional candidates with a strong computational background, especially in the field of recurrent neural network simulations. Candidates should have a Ph.D. in a relevant field (e.g., Computational Neuroscience, Computer Science, Math, Physics). Proficiency in programming (e.g., MATLAB, C++) is necessary. The ideal candidate will be interested in engaging in experimental work as well. Work location The Neural Circuits and Behavior Team is located at RIKEN Brain Science Institute, Wako, Saitama, Japan. The institute is about 15 min away from the main Tokyo metropolitan area by train. Salary and benefits This is a funded position but applicants are strongly encouraged to apply for external funds. The employment contract is renewable on a yearly basis based on performance evaluation up to seven years from the start date. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Free, mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai) will be provided. These and other provisions are in accordance with RIKEN regulations. RIKEN is promoting a Gender Equity Program by taking various measures to create a workplace where both men and women are able to give full rein to their talents and abilities. http://www.riken.go.jp/en/careers/working-at-riken/benefits/ Application and required documents Interested applicants are encouraged to apply as soon as possible. Candidates should provide (1) cover letter, (2) CV and bibliography, (3) the names and contact information of three references (including the current supervisor, if available) with a brief description of your relationship to each reference. Send application to: andrea(a)benuccilab.net Selection process Applications will be reviewed as they are received. Shortlisted candidates will be invited to RIKEN-BSI for an in-person interview. --

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BrainModes conference - Brussels, Dec 1 and 2 - final call for abstracts
by Daniele Marinazzo Oct. 17, 2016

Oct. 17, 2016

Dear all Just a reminder and the final call for submitting an abstract for the poster presentation which will take place during the dinner at the BrainModes conference, that this year we will organize in Brussels, at the Royal Flemish Academy of Sciences (KVAB) on* Dec 1 and 2*. BrainModes (www.brainmodes.org) is an annual conference in which methods and models to interpret brain activity, and their applications are discussed. This year the theme will be: Coordinated brain activity: foundations and applications. We are proud of the lineup of speakers this year, including top experts in the field of computational, cognitive and clinical neuroscience. There will be also a workshop organized in Ghent on November 30 on methodological issues and demonstrations. The complete program, the info on registration, abstract submission and location are here http://www.da.ugent.be/brainmodes Please spread this information within your network of students and colleagues, and looking forward to see you. -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ https://twitter.com/dan_marinazzo BRAINMODES 2016 CONFERENCE http://www.da.ugent.be/brainmodes http://helpdesk.ugent.be/e-maildisclaimer.php

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Two postdoctoral positions at Kyoto U: Brain imaging and simulation
by Hidetoshi Urakubo Oct. 15, 2016

Oct. 15, 2016

Dear all, Integrated Systems Biology Lab at Kyoto U (Japan) invites applications for two post-doc positions. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Lab, Dep Sys Sci, Grad Sch Info, Kyoto U 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 ============================================== 1. Reconstruction and simulation of neural circuits in the brain We invite applications for a post-doc researcher in the areas of 3D image processing, computational neuroscience, and/or neurophysiology. A new collaborative project with U Tokyo has been launched for large-scale 3D imaging of neural networks and their reconstruction/simulation. Thus, the applicant will firstly analyze microscopic 3D images to identify biological neuronal networks in collaboration with Kasai-lab in U Tokyo (http://www.bm2.m.u-tokyo.ac.jp/english/index.html) The project is a part of “Synaptic optogenetics for memory structures”, which is founded by Japan Science and Technology Agency. 2. AI and brain simulation We are seeking a highly motivated post-doc researcher in artificial intelligence (including deep neural networks), brain simulation, and/or high performance computing (HPC). Join us in the "post peta-flops computing" project, a government funded project with the goal of using the K supercomputer and its successor to (1) develop HPC-based frameworks for large-scale neural image processing and to (2) build an innovative and large-scale artificial intelligence that mimics brain’s information processing. For both positions, basic qualifications include PhD in relevant fields with proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. You will participate in the project with our tenure track and post-doc researchers from various backgrounds including computational neuroscience, systems biology, bioinformatics, mathematical engineering, and machine learning. Our laboratory is also collaborating on daily basis with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa institute of science and technology (OIST), RIKEN Brain Science Institute, and other international laboratories. [Job title and Job description] Title: Full-time Researcher / Full-time Research Engineer Begin Date: 1. April 1st 2017 (negotiable) 2. November 1st 2016 (negotiable) Location: Yoshida-Honmachi 36-1, Sakyo-Ku, Kyoto-city, Japan. 606-8501 Contract: Annually renewed based on evaluation. 1. Up to 5 years 2. Up to 3 years Salary: Commensurate with qualifications and experience. Based on Kyoto University’s provision for researchers. Benefits:　Standard social insurance, Days off (weekends, public holidays, End of the year and the New Year, Kyoto University Foundation Day, summer vacation), Sick leave Other miscellaneous provisions are in accordance with Kyoto U regulations. [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV (including technical skills [programming languages, platforms, systems, etc] and corresponding achievements that are relevant to our project) 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 Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. [Number of openings] Two [Deadline for application] December 18th 2016 (will remain open if positions are not filled) [Application] Applications and/or any questions should be sent via mail or e-mail to: Integrated Systems Biology Laboratory (Shin Ishii-lab), Graduate School of Informatics, Engineering Bldg #1, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: kanae [at] sys.i.kyoto-u.ac.jp http://ishiilab.jp/kyoto/en/ Phone: +81-75-753-4908 Fax: +81-75-753-4907

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Lecturer/Senior Lecturer in Computer Science (Machine Learning / Biocomputation) (Closing Date 21 October)
by Steuber, Volker Oct. 14, 2016

Oct. 14, 2016

Lecturer/Senior Lecturer in Computer Science (Machine Learning / Biocomputation) School of Computer Science University of Hertfordshire, UK Salary £32,004 to £48,327 per annum depending on qualifications and experience Full time position working 37 hours per week (1.0 FTE) Closing date 21 October 2016 Applications are invited for a Lecturer or Senior Lecturer in the School of Computer Science, University of Hertfordshire. The successful candidate will be expected to contribute to the School's teaching and curriculum development activities, and to strengthen its research activities. We are looking to recruit specifically a computer scientist with background in machine learning or data science related to biocomputation (including computational neuroscience). By Data Science we broadly mean the extraction of meaning from large quantities of data. The successful candidate will also have the flexibility to teach across mainstream topics in computer science. The School has an international reputation for teaching and research, with 58 academic staff, 20 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the School teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. The person appointed will be expected to contribute to learning and teaching relevant to core computer science topics, participate in curriculum review and development, design and develop new modules, and supervise student projects at all levels. The appointee will strengthen the research culture in the School by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Preference will be given to candidates who can contribute to teaching and research as outlined above. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English and the ability to teach at undergraduate and postgraduate level. It is desirable that candidates have a track record of publication, external research funding, collaboration across disciplines, experience of different types of assessment and higher education quality assurance. They should also have the ability to play a role in the routine running of the School of Computer Science. Applications should be made through http://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies (reference 014050). Informal enquiries may be addressed to Dr Volker Steuber (Head of the Biocomputation Research Group, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly to these email addresses will not be accepted. We are committed to providing a supportive environment. The university also provides an onsite childcare facility and child-centred holiday clubs. The University is required to meet UKVI visa regulations. Applicants who do not currently have the right to work in the UK will have to satisfy UKVI regulations before they can be appointed. ?

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High Performance Computing Workshop at SFN 2016
by Ted Carnevale Oct. 13, 2016

Oct. 13, 2016

A few seats remain available in the workshop Using the Neuroscience Gateway Portal (NSG) for Parallel Simulations Saturday, Nov. 12 from 9 AM to noon which we are presenting in downtown San Diego as a satellite to this year's SFN 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 several research teams about how they are using NSG in their own research. The registration fee is $25, but if you have already signed up for the NEURON course on Friday, Nov. 11, you may register for the NSG workshop for only $15. For a description of the workshop and its application form, see http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html The registration deadline is Friday Oct. 28. --Ted

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Postdoctoral researcher to study cause-effect power of neural systems across spatiotemporal scale
by Hill Sean Oct. 13, 2016

Oct. 13, 2016

Postdoctoral position in the Laboratory for the Neural Basis of Brain States Prof. Sean Hill, École Polytechnique Fédérale de Lausanne (EPFL) Campus Biotech, Geneva, Switzerland The Laboratory for the Neural Basis of Brain States (LNBBS), part of the Blue Brain Project, focuses on understanding cortical and thalamocortical structure and function and the relationship to states of the brain including wakefulness, sleep and anesthesia. LNBBS is part of the EPFL Blue Brain Project (BBP), a Swiss national brain initiative situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing infrastructure and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. A postdoctoral position is available in the laboratory of Prof. Sean Hill (EPFL, http://www.hill-lab.org : http://bluebrain.epfl.ch) in collaboration with the Prof. Giulio Tononi (Wisconsin Institute for Sleep and Consciousness, www.integratedinformationtheory.org ) to study cause-effect power of neural systems across spatiotemporal scales. Immediate funding is available for a project using the framework of integrated information theory [1] to study foundational questions regarding causation and emergence in a detailed model of a cortical column [2]. The model is a comprehensive, multi-scale digital reconstruction of rat somatosensory microcircuitry, consisting of over 31,000 biophysically detailed multi-compartment neurons with 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. Causal properties are explored at micro scales and at multiple macro scales by black-boxing the model in various ways and applying measures of integrated information to the resulting macro level systems [1, 3]. Candidates are expected to have strong training in a discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. Experience in information theory, complex systems, and neural modelling software (e.g. Neuron, NEST) are a plus. Programming experience is required (knowledge of MATLAB, Python, and/or C++ is of advantage). Appointments are for an initial 1-year renewable contract, starting as soon as possible or until the position is filled. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Sean Hill, (sean.hill(a)epfl.ch) For more information, contact Sean Hill (sean.hill(a)epfl.ch) or Giulio Tononi (gtononi(a)wisc.edu) [1] Tononi G, Boly M, Massimini M, and Koch C. Integrated information theory: from consciousness to its physical substrate. Nature Reviews Neuroscience (2016). [2] Markram et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 2015 Oct 8;163(2):456-92. doi: 10.1016/j.cell.2015.09.029. [3] Marshall W, Albantakis L, Tononi G (2016) Black-boxing and cause-effect power. arXiv:1608.03461 [q-bio.NC]

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Two NIH BRAIN Initiative funded computational postdoctoral positions available: Brown University and Mass. General Hospital
by Stephanie Jones Oct. 12, 2016

Oct. 12, 2016

Hello, Can you please post the following ad to the compneuro mailing list? Thank you, Stephanie Two NIH BRAIN Initiative funded computational postdoctoral positions available: Brown University and Mass. General Hospital The field of neuroscience is experiencing unprecedented growth in the ability to record from and manipulate brain circuits in humans and in animal models. MEG/ EEG are the leading methods to non-invasively record human neural dynamics with millisecond temporal resolution. However, it is still extremely difficult to interpret the underlying cellular and circuit level generators of these ‘macro-scale’ signals without simultaneous invasive recordings. Supported by a BRAIN Initiative grant through NIH we have started a collaborative project between Brown University, Yale University and Massachusetts General Hospital (MGH) to develop and a new software tool for circuit level interpretation of human brain activity measured with MEG/EEG. We are hiring two post-docs to join our team. A three-year postdoctoral position at Brown University PI: Dr. Stephanie Jones contact: Stephanie_Jones(a)brown.edu A three-year postdoctoral position at Massachusetts General Hospital PI: Dr. Matti Hämäläinen contact: msh(a)nmr.mgh.harvard.edu The post-docs hired will work among a team of researcher at Brown University, MGH, and Yale University on the design and implementation of a user-friendly, GUI-driven, open-source model of neocortical circuitry for the interpretation of non-invasively measured human brain activity. The neural model will be integrated into existing source localization software (MNE-Python) so that researchers can study the location, time course, and neural mechanisms of their human brain imaging data all in one package. Additionally, the post-docs will work with several test case groups to apply the model in a variety of tasks and clinical conditions. Interested candidates must have experience in Python programming and software engineering. The postdoc at Brown will work more on the computational modeling aspect of the software while the post doc at MGH will concentrate on the integration of MEG/EEG source modeling with computational neural modeling. Candidates with knowledge in computational modeling using NEURON and/or source localization methods will be given preference. Please send a CV, statement of research interests, and three letters of recommendation to contact addresses listed above. ******************************************* Stephanie R. Jones, PhD Associate Research Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://www.brown.edu/research/labs/jones/

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PhD Position in Computational Cognitive Neuroscience at FIU in Miami
by Fabián Soto Oct. 10, 2016

Oct. 10, 2016

The Computational Cognitive Neuroscience Lab at FIU in Miami (PI Dr. Fabian Soto) is looking for a doctoral student to start in the Fall of 2017. The student will work in the development of new methods to test independent processing of stimulus dimensions in the brain, within a framework that combines general recognition theory (a multidimensional version of signal detection theory) and population encoding models. The developed methods will be applied to the analysis of EEG and fMRI studies on object categorization. Our lab's research focuses on understanding the interplay between learning and visual processes in object categorization. We use a combination of behavioral, computational, and brain imaging techniques. FIU is classified as an R1 (highest research activity) institution by the Carnegie Foundation. It is Florida’s fastest growing public research university, the fourth largest university in the US, and one of the nation’s largest hispanic-serving institutions. FIU has recently established a state-of-the-art neuroimaging center (the Cognitive Neuroscience and Imaging Center), which hosts a research-dedicated 3T Siemens MAGNETOM Prisma MRI scanner and a fully equipped mock scanner for pre-scan and movement training. If you know of any potentially interested candidates with a broad scientific background who are interested in neuroimaging, psychology, and computational modeling, please have them contact Dr. Fabian Soto at fabian.soto(a)fiu.edu. More information about FIU’s Cognitive Neuroscience doctoral program in Psychology is available at http://cn.fiu.edu. The deadline for application is December 1st of 2016. -- Fabian A. Soto Assistant Professor Department of Psychology Florida International University Modesto A. Maidique Campus 11200 SW 8th St, AHC4 460 Miami, FL 33199 Phone: 305-348-8423 Fax: 305-348-6670 Email: fabian.soto(a)fiu.edu

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Postdoc in Warsaw - kernel-based method of electrophysiological source imaging
by Daniel Wójcik Oct. 10, 2016

Oct. 10, 2016

https://neuroinflab.wordpress.com/jobs/ POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE: kESI – kernel-based method of electrophysiological source imaging The Neuroinformatics Laboratory (https://neuroinflab.wordpress.com/) at the Nencki Institute of Experimental Biology (http://www.nencki.gov.pl) invites applications for a postdoctoral position (36 months). The goal of the project is to develop, implement and investigate a new technique of source localization of specific events in neural activity, such as a seizure, from multimodal imaging data, including ECoG (strip and grid electrodes), depth electrophysiological recordings, and MRI data from humans. The method will be validated with ground truth model data and tested on clinical data obtained from epilepsy patients. The fellow will build on already existing tools and techniques developed in the lab, see especially Potworowski et al. 2012 and Ness et al. 2015. The ideal candidate will have a strong computational background, experience in numerical solutions of PDEs, electrodynamics, computational neuroscience, or brain imaging. We can only accept candidates 0 to 7 years after reception of PhD. To apply or ask for further information send email to d.wojcik(a)nencki.gov.pl. Applications should include a CV, statement of research interests, and the names and full contact details of three referees. We are accepting applications until the position is filled. -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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RAHA 2016 - Invitation and late Breaking Poster Session
by Dr. Shyam Diwakar Oct. 8, 2016

Oct. 8, 2016

Dear Colleagues, Apologies for cross-posting. Amrita University, India at its backwater-nestled campus in Kollam, Kerala is set for RAHA 2016 - International Conference on Robotics and automation for Humanitarian Applications to be held from December 18-20, 2016. The organizers are calling in for late-breaking posters in robotics, neurorobotics, societal and humanitarian applications and related topics. We welcome you to submit content and showcase new studies in the fields of robotics and related topics. RAHA 2016 brings together top researchers, practitioners, and experts from the field of robotics for humanitarian applications. The conference will host 6 plenary and 16 keynote speakers from top universities and industry. Poster session Details: http://raha2016.org/call-for-abstracts-late-breaking-posters Conference website: http://raha2016.org Speakers: http://raha2016.org/speakers I look forward to meeting you in December. Shyam -- Shyam Diwakar, Ph.D. Amrita University http://www.amrita.edu/compneuro Disclaimer : The information transmitted in this email, 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, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita University. If you received this in error, please contact the sender and destroy any copies of this information.

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Please post to the comp-neuro list
by McCormick, David Oct. 7, 2016

Oct. 7, 2016

POSTDOCTORAL POSITIONS in Theoretical and Computational Neuroscience The Swartz Center in Theoretical Neurobiology at Yale University invites applications for two postdoctoral positions in Theoretical and Computational Neuroscience. We seek exceptional candidates with experience in computational and/or quantitative neuroscience to collaborate with computational/experimental biologists towards the understanding of the nervous system from the level of synapses to complex networks. The candidate may work in one or more laboratories of Jessica Cardin, Damon Clark, Michael Crair, George Dragoi, Thierry Emonet, Michael Higley, Joe Howard, Alex Kwan, Daeyeol Lee, David McCormick, John Murray, and Steven Zucker (see http://swartz-initiative.medicine.yale.edu<http://swartz-initiative.medicine.yale.edu/>). Candidates must hold a Ph.D. or equivalent degree. Please send a Curriculum Vitae, selected reprints, and a statement of research plans including the laboratories of interest. All application materials should be sent electronically to the following e-mail address: david.mccormick(a)yale.edu<mailto:david.mccormick@yale.edu>. Applications will be reviewed as they are received, with a target date of November 30th, 2016. Positions are available starting January 2017. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. ----------------------------------------------------------- Thanks! David A. McCormick Professor, Neuroscience | Yale University School of Medicine Dept. Neuroscience 333 Cedar Street | New Haven, CT 06510 | 203.785.5981 www.mccormicklab.org<http://www.mccormicklab.org/> | www.neurobiology.org<http://www.neurobiology.org/>

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"Closed Loop Neuroscience" book release
by ahmed el hady Oct. 7, 2016

Oct. 7, 2016

Dear All, I would like to share with you the exciting news that my edited volume "Closed Loop Neuroscience", has just been published by Academic Press. The following is the link for the book: http://store.elsevier.com/Closed-Loop-Neuroscience/Ahmed-El-Hady/isbn-97801… . This reference book gathers work from across neuroscience, which employs closed loop methodologies, under the umbrella of what can be called “Closed Loop Neuroscience”. The book is built on three axes: theoretical, experimental and philosophical. The contributors come from a myriad of disciplines from physics, mathematics, linguistics, neuroscience, philosophy, engineering and computer science. The following is the table of contents: Theoretical Axis 1. Adaptive Bayesian methods for closed-loop neurophysiology 2. Information geometric analysis of neurophysiological data 3. Control theory for closed loop neurophysiology 4. Testing the theory of practopoiesis using closed loops 5. Local field potential analysis for closed loop neuromodulation 6. Online event detection requirements in closed-loop neuroscience 7. Closing Dewey's Circuit 8. Stochastic optimal control of spike times in single neurons 9. Hybrid systems neuroscience 10. Computational Complexity and the Function-Structure-Environment Loop of the Brain 11. Subjective Physics 12. Contextual emergence in neuroscience Experimental Axis 13. Closed loop methodologies for cellular electrophysiology 14. Bidirectional Brain-Machine Interfaces 15. Adaptive brain stimulation for Parkinson’s disease 16. Closed loop neuroprosthetics 17. Closed Loop Limbic Neurostimulation 18. Conscious brain-to-brain communication Philosophical Axis 19. Philosophical aspects of closed loop neuroscience 20. Closed Loops in Neuroscience and Computation: What It Means and Why It Matters Your feedback is very important for me so please let me know if you have any comments about it. My email is ahady(a)princeton.edu. I would really appreciate if you recommend the book to your librarian, colleagues and anyone you think might benefit from it. I hope you will enjoy the book , All the best, Ahmed El Hady Dr. Ahmed El Hady Princeton Neuroscience Institute Howard Hughes Medical Institute Washington Road | Princeton, NJ 08544 Tel: +1-609-258-7954 Fax: +1-609-258-1028 Website: http://scholar.princeton.edu/ahmedelhady/home

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Open positions in Theoretical/Computational Neuroscience at the Max Planck Institute for Brain Research in Frankfurt
by Gjorgjieva, Julijana Oct. 7, 2016

Oct. 7, 2016

We invite applications for PhD positions and have openings for Master and Bachelor students interested in writing their thesis or doing internships in our group 'Computation in Neural Circuits' at the Max Planck Institute for Brain Research in Frankfurt, Germany. Postdoctoral candidates are also encouraged to inquire for open positions. We use mathematical and computational approaches to study how neurons and the connections between them get organized into circuits that are flexible to learn, yet remain robust to external perturbations. We focus on the emergence of complex properties at the single neuron and circuit level during early development. For example, we study how synaptic plasticity, homeostasis and development of ion channel expression interact to produce functional adult circuits. We are also interested in how these specific properties emerge evolutionarily, shaped by various biophysical constraints. Our work is supported by close experimental collaborations based on different animal models, from rodent to fruit fly, giving us access to individual circuit components. Successful applicants can work on a range of projects including theoretical model development and analytical calculations, numerical simulations, data analysis, and applications to novel datasets from collaborating labs. Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and interest in interdisciplinary research. Background in neuroscience is desirable but not required, and some programming experience is necessary. To apply for these positions, please submit the following to comp.neural.circuits(a)gmail.com<mailto:comp.neural.circuits@gmail.com> 1. A curriculum vitae 2. A motivation letter or a description of research interests (please explain your scientific interests, what are you strengths when working on a problem, why our group) 3. Contact details for 2-3 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code Our institute also hosts the IMPRS graduate school in 'Neural Circuits' which has an open call for PhD applications with a deadline of December 15, 2016: http://brain.mpg.de/graduate-studies/call.html For more information or informal inquiries, please get in touch! Julijana Gjorgjieva, PhD Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4 60438 Frankfurt/Main, Germany http://brain.mpg.de/research/computation-in-neural-circuits-group.html

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Symposia on Memory, March 6-10 2017, Barcelona
by Alex Roxin Oct. 6, 2016

Oct. 6, 2016

Dear all, I'm happy to announce that registration is open for the week-long series of Symposia on Memory at the Centre de Recerca Matemàtica from 6-10 of March, 2017 in Barcelona, Spain. These symposia bring together experimental and theoretical researchers in the neuroscience of memory to present and discuss work on topics such as: sleep, hippocampal function, the molecular basis of memory, synaptic plasticity, spatial learning, human memory, and more. The full list of invited speakers as well as a partial list of abstracts for the invited talks is on the website. A detailed schedule is forthcoming. As a registered participant you can submit an abstract for a contributed talk or a poster. For more information and to register see http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_Symposia.aspx The symposia are part of the Intensive Research Program (IRP) on the Mathematics of Memory at the Centre de Recerca Matemàtica in Bellaterra (Barcelona), Spain. The program kick-off is a week-long winter school on the mathematics of memory, the Memory School, from the 16th to the 20th of January, 2017. A preliminary course schedule is available on the website. As a registered participant at the school you can submit an abstract to present a poster. Registration is open! http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_School.aspx For more information on the IRP on Memory please visit the website below http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/IRP-MATHMEM.aspx best regards, Alex (on behalf of the coordinators: Nicolas Brunel, Sandro Romani and Alex Roxin)

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Call for posters and participation: The 3rd International Symposium on Cognitive Neuroscience Robotics
by amser116 Oct. 6, 2016

Oct. 6, 2016

Call for posters and participation: (apologies for cross-posting) The following international symposium will be held in Osaka, Japan in December 2016. The theme of the symposium is Constructive Developmental Science, which aims at understanding human cognition by means of interdisciplinary approach (e.g., psychology, cognitive science, neuroscience, and robotics). We will have world-leading researchers from different disciplines as invited speakers and would like to invite you to present a poster of your recent achievement. Please see the symposium homepage for more details: http://www.cnr.osaka-u.ac.jp/?p=1835&lang=en ============================================ The 3rd International Symposium on Cognitive Neuroscience Robotics: Toward Constructive Developmental Science ============================================ Date: Sunday, December 11 – Tuesday, December 13, 2016 Place: Science Hall, Senri Life Science Center, Osaka, Japan Fee: No fee except banquet Registration: Advance registration is required (see the following homepage) Program: http://www.cnr.osaka-u.ac.jp/?p=1835&lang=en Invited speakers: - Rechele Brooks, University of Washington - Helge Ritter, Bielefeld University - Giulio Sandini, Italian Institute of Technology - Shinsuke Shimojo, California Institute of Technology Sponsors: - Institute for Academic Initiatives, Osaka University “Division of Cognitive Neuroscience Robotics” - JSPS Grant-in-Aid for Specially Promoted Research “Constructive Developmental Science Based on Understanding the Process from Neuro-Dynamics to Social Interaction” Best regards, Yukie Nagai, on behalf of the symposium organizers — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

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high performance computing with the Neuroscience Gateway Portal
by Ted Carnevale Oct. 6, 2016

Oct. 6, 2016

Space is still available in the workshop on the Neuroscience Gateway Portal (NSG), but if you are interested you should act soon because space is limited and the registration deadline is Friday Oct. 28. The NSG is an NSF-supported resource for neuroscientists whose research involves computationally intensive modeling and/or data analysis. It has a simple, convenient user interface for running simulations and data analysis tasks on HPC hardware, and provides free CPU time. Currently installed software includes Brian, GENESIS, MOOSE, NEST, NEURON, PyNN, Freesurfer, and the Virtual Personalized Multimodal Connectome Pipeline. The workshop will be held on Saturday, Nov. 12, from 9 AM to noon, just before the start of the 2016 SFN meeting, at a downtown San Diego location near the convention center. The agenda includes instruction on how to use the NSG in your own research, a hands-on exercise, and presentations by research teams about how they are using the NSG for their own high performance computing needs. See http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html for more information and a link to the registration form. --Ted

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Postdoctoral Fellowship in System Neuroscience
by Majid Mohajerani Oct. 5, 2016

Oct. 5, 2016

A position as Postdoctoral Fellow is now open for an outstanding postdoctoral associate to conduct research in the field of neural network functions at the Canadian Centre for Behavioural Neuroscience at the University of Lethbridge, Alberta. Our goal is to understand cellular and brain system mechanisms of memory and cognitive processing in animal models of healthy brain and memory disorders associated with aging and brain damage. Our research focusses on information coding, neural dynamics and system level neural interactions among diverse brain regions (e.g., hippocampus, prefrontal, retrosplenial, parietal and anterior cingulate cortices). This research will be supported by state-of-the-art facilities including advanced two-photon imaging, microendoscope imaging, wide-field voltage and calcium imaging, and high-density multi-unit electrophysiological recording and optogenetic techniques. The project is a collaborative effort between the research groups of Prof. Bruce McNaughton and Dr. Majid Mohajerani. Successful candidates will join the highly collaborative and interdisciplinary Canadian Centre for Behavioural Neuroscience (http://www.uleth.ca/artsci/neuroscience/our-faculty) and Brain Dynamics group (http://lethbridgebraindynamics.com/) which has outstanding research strengths in the areas of learning and memory, decision making, information coding and related diseases such as Alzheimer's, schizophrenia, addiction and stroke. Salary scales will be competitive with NIH standards for postdoctoral researchers. The position will be initially for 1 year with possibility of renewal depending on performance review at the end of the first 9 months. QUALIFICATIONS Preference will be given to candidates with strong quantitative and neuroscience methodological backgrounds such as neural ensemble recording, 2-photon or other in vivo neural activity imaging or in brain mapping. Good verbal and written communication skills are a must. Experience in MATLAB will be an asset. Candidates should be prepared to learn and use cutting-edge physiological, anatomical, and computational techniques, such as virtual reality-based rodent behavioural systems, optogenetic manipulations, and statistical methods for the analysis and modelling of data. HOW TO APPLY Interested applicants should send an email to Dr. McNaughton ( <mailto:bruce.mcnaughton@uleth.ca> bruce.mcnaughton(a)uleth.ca) with cc to Dr. Mohajerani ( <mailto:mohajerani@uleth.ca> mohajerani(a)uleth.ca ) and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information of three references. Applications are encouraged from women and minorities.

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo Oct. 4, 2016

Oct. 4, 2016

Applications for post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of multiscale neural dynamics. Neural data consist of recordings of single-neuron ensembles and local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates. Research topics include: (1) Role of neuronal network intrinsic dynamics in neural encoding and decoding. (2) Multiscale neocortical dynamics in human focal epilepsy: seizure transition, propagation and termination. (3) Precursor signatures of focal seizure transitions, prediction and control. The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Two PhD Positions for Neural Network Research Using High-density Microelectrode Arrays
by Felix Franke Oct. 4, 2016

Oct. 4, 2016

*PhD Positions for Students with Neurobiology Background or Engineering/Data-analysis Background for Neural Network Research Using High-density Microelectrode Arrays* We are currently seeking PhD students with a neurobiology background, or with an engineering/data analysis background, who will conduct electrophysiological experiments with high-density microelectrode arrays. The students will investigate how information is processed by neuronal networks and by the corresponding individual neurons and subcellular units within active networks. Suitable candidates should either have a background in neurobiology/neuroscience, or interest in evaluating large-scale complex data sets and a background in engineering or computer science. The candidate should be interested in interdisciplinary collaborative work in the area of electronics/neurobiology/data processing. Programming skills (for example Matlab, Python, R, etc.) are required, and knowledge of mathematics, statistics and data analysis methods, or experience in cell culturing and sterile techniques, or - possibly - patch clamp will be an asset. For more information see: https://www.bsse.ethz.ch/bel/open-positions.html -- Felix Franke, PhD ETH Zürich, D-BSSE Bio Engineering Laboratory (BEL) http://www.bsse.ethz.ch/bel

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Deadline extended for Brains and Bits NIPS Workshop
by Konrad Kording Sept. 29, 2016

Sept. 29, 2016

We just expanded the NIPS brains and bits deadline by a week: http://www.stat.ucla.edu/~akfletcher/brainsbits.html Consider joining us if you are interested in neural data science.

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Open PhD Position in Neuroscience at the University of Bremen, Germany
by David Rotermund Sept. 29, 2016

Sept. 29, 2016

The Institute for Theoretical Physics at the University of Bremen, headed by Prof. Dr. Klaus Pawelzik, offers a PhD position in the field of Complex Adaptive Systems. Successful candidates will join an international research group that is located in the field of Complex Adaptive Systems with a specialization in Econophysics, Psychophysics and Computational Neuroscience. In the latter we work on Attention, Neuronal Dynamics, Learning and Neurotechnology. The project funded by the DFG is entitled: “Dynamic instabilities from information annihilation in neuronal networks” Many Complex Adaptive Systems, including human balancing behavior, financial markets, and neuronal networks, exhibit complex spatio-temporal activity. Interestingly, all these systems feature a dynamic balance of opposing influences. In this project we will investigate the consequences of simple but biologically realistic mechanisms that yield a balance of excitatory and inhibitory inputs into neurons. In particular, we will determine the conditions where this balance does not result in simple equilibria but causes complex temporal dynamics and power-law distributed avalanches of activity in recurrent networks. This topic is part of a long term research program where we investigate whether a single general principle, by which criticality emerges from an efficient absorption of information, can account for these observations in a wide range of systems. The position is funded with a salary comparable to a 65 % TVL13 position and comes with support for 3 years and direct supervision by the principal investigator. Ideal candidates have a MSc degree in Physics or Mathematics. In any case they must have a strong background in physics and/or computational neuroscience and solid programming skills. Above all, they must have a strong motivation, a sense for responsibility, interest for detailed analysis, and a distinct desire to learn. Fluency in English is required (both written and spoken). If you are interested, please send your complete application by 23th October 2016 by e-mail (see detailed instructions below) to ajanssen(a)neuro.uni-bremen.de. Severely disabled applicants and women with essentially identical and personal suitability will be preferentially selected. Detailed instructions for applicants ===================== Your application must comprise: Motivation letter -------------------- Your 1-2 page essay should reply the following questions: What is your background? In which fields have you worked before and how do you think this can be useful for the present job? What attracts you to the field of neuroscience? Which problem(s) in neuroscience are you most interested in? Which kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and how do you approach a research problem? What are your plans for your future career? Curriculum Vitae --------------------- Send a classical tabular CV with your contact details, your date-of-birth, a current photograph, and all stages of education and employment. List of skills, awards, publications List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. Contact details of two academic references -------------------------------------------------------- One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. Please send your application to ajanssen(a)neuro.uni-bremen.de by 23th October 2016! All documents must be in PDF format and must not be compressed. Combine all documents to a single PDF file or at least name the separate files appropriately. If we find your application interesting, we will let you know within two weeks and potentially ask for more documents.

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2 Available PhD Positions in Artificial Intelligence and Neuro-Cognitive Robotics, Ritsumeikan University, Japan
by Amir Aly Sept. 28, 2016

Sept. 28, 2016

**Apologies for Cross Posting ** *2 Available PhD Positions in Artificial Intelligence and Neuro-Cognitive Robotics at the Emergent Systems Laboratory, Ritsumeikan University, Japan* The Emergent Systems Laboratory [Link <http://www.em.ci.ritsumei.ac.jp/en>] at Ritsumeikan University in Japan (nearby Kyoto) announces 2 available PhD positions in artificial intelligence and neuro-cognitive robotics as a part of the new project: *"*Comparison and Fusion of Artificial Intelligence and Brain Science*"*. The successful PhD candidates will be involved in research about: *Understanding Neural Computation for Double Articulation Analysis Bridging Sensory-motor Information and Natural Language in Human Brain*, under the supervision of Tadahiro Taniguchi (Project Coordinator) [ Link <http://www.tanichu.com/profile>]. *I. Positions Description * Human brain can analyze a two-layer hierarchical structure embedded in speech signal called *double articulation structure* (i.e., speech signal is segmented into words and phonemes in a hierarchical manner). However, the computational process of double articulation analysis in human brain has not been revealed in neuroscience. In artificial intelligence and developmental robotics, we have not developed - yet - a robot that can automatically learn language from human-robot and sensorimotor real-world interactions in an unsupervised manner. This project aims to contribute to : - Understanding the neural mechanism supporting human and robot language acquisition involving double articulation analysis. - Developing unsupervised machine learning methods for building the next-generation communicative robots. - Developing deep learning and Bayesian probabilistic models integrating language, planning, and sensorimotor behaviors. - Investigating theories bridging between deep learning and Bayesian nonparametrics. Each PhD candidate is expected to contribute to a part of the project. *II. Candidate Profile* - Good mathematical background. - English communication skill for daily discussion and writing papers: IELTS 6 (TOEIC 740). - Programming skills in C++, Python, or Matlab for machine learning and intelligent robot. - Applicants are expected to be interested in natural language, language acquisition, and the human cognitive neural system of social behavior. *III. Application* Please send your application to (adm(a)em.ci.ritsumei.ac.jp) no later than *31 October 2016*, including: - List of publications. - Copies of 2 major publications. - Outline of past research (free format). - Motivation letter (free format). - Outline of prospective research (free format). - 2 Reference letters. Further details about the available positions and admission procedures are available on: *PhD Positions in Artificial Intelligence and Neuro-Cognitive Robotics <http://www.em.ci.ritsumei.ac.jp/info/call-for-phd-candidates-research-assis…>* . Ritsumeikan University is a fast growing international research environment with interdisciplinary research areas, and is the biggest private university in the west of Japan. The College of Information Science and Engineering is the biggest college in the field of Information Science in Japan, and the Graduate School is receiving a large number of KAKENHI Japanese governmental research grants. *IV. Related Papers* [1] Tadahiro Taniguchi, Shogo Nagasaka, Ryo Nakashima, Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals, IEEE Transactions on Cognitive and Developmental Systems, Vol. PP (99) .(2016) DOI: 10.1109/TCDS.2016.2550591 [2] Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura, Naoto Iwahashi, Tetsuya Ogata, and Hideki Asoh, Symbol Emergence in Robotics: A Survey, Advanced Robotics, Vol.30, (11-12) pp. 706-728 .(2016) DOI:10.1080/01691864.2016.1164622 ---------------------------------------------- Amir Aly, Ph.D. Postdoctoral Research Associate 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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