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CFP Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots
by Pablo Barros July 23, 2019

July 23, 2019

Call For Papers - Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioral responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics, and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. This Research Topic invites authors to submit new findings, theories, systems, and trends in multisensory learning for intelligent agents and robots with the aim to foster the development of novel and impactful research which will contribute to the understanding of human behavior and the development of artificial systems operating in real-world environments. II. Potential Topics Topics include, but are not limited to: - New methods and applications for crossmodal processing and multisensory integration (e.g. vision, audio, haptics, proprioception) - Machine learning and neural networks for multisensory robot perception - Computational models of crossmodal attention and perception - Bio-inspired approaches for crossmodal learning - Multisensory conflict resolution and executive control - Sensorimotor learning for autonomous agents and robots - Crossmodal learning for embodied and cognitive robots III. Submission - Abstract - 28th August 2019 - Paper Submission - 02nd December 2019 We have special discounts for open access papers participating in this research topic. If you have any further question, please let us know. More information: https://www.frontiersin.org/research-topics/9321/closing-the-loop-from-huma… IV. Guest Editors Pablo Barros, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany German I. Parisi, Apprente, Inc., USA Jun Tani, Okinawa Institute of Science and Technology, Japan -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) 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.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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Open positions in human-machine interaction at Imperial College London
by Eden, Jonathan July 23, 2019

July 23, 2019

We at the human robotics group (https://www.imperial.ac.uk/human-robotics) use an integrative approach of neuroscience and robotics to investigate human sensorimotor control, and to design efficient human-machine interaction, assistive devices and training systems for neuro-rehabilitation. We have openings for 2 postdoctoral and 5 PhD positions for projects related to: - predictive haptic coding in animals and for robotics (https://www.ph-coding.eu/) - haptic communication between humans and with robots (see Takagi et al. Nature Human Behaviour 2017, PLoS Computational Biology 2018, eLife 2019; Li et al. Nature Machine Intelligence 2019.) - sensorimotor augmentation and control of supernumerary limbs (see Abdi et al. Scientific Reports 2016; Mehring et al. Nature Communication 2019) - technology for social neurorehabilitation (Mace et al. J of NeuroEngineering and Rehabilitation 2017, in collaboration with https://www.gripable.co/) - development of neural activity in infants born preterm and with cerebral palsy (see DallOrso et al. Cerebral Cortex 2018, Mutalib et al. J of NeuroEngineering and Rehabilitation 2019) Interesting applicants with suitable background(s) can submit a CV and <1 page of motivation for such position to <j.eden(a)imperial.ac.uk<mailto:j.eden@imperial.ac.uk>> with title "HRG position: <your name>". You can also ask for information at the same address. We are looking for postdocs with a strong background in computational modelling. These postdocs will have the opportunity to work with our network of collaborators and to be involved in guiding of PhD students in their respective projects. Suitable backgrounds for Ph.D. applicants may be in physics, related engineering fields and computer science. Note that the funding is only for the EU/EEA/UK level of fees for PhD studies at Imperial. However candidates from outside the EU are welcome to apply if they have suitable complementary funding. I look forward to your application! Etienne Burdet www.imperial.ac.uk/human-robotics<http://www.imperial.ac.uk/human-robotics> eburdet(a)ic.ac.uk<mailto:eburdet@ic.ac.uk> Imperial College London South Kensington campus SW7 2AZ London, UK

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NIH-BRAIN funded computational neuroscientist postdoc position @ Dierssen's lab Barcelona
by Linus Manubens Gil July 22, 2019

July 22, 2019

A computational neuroscientist researcher position is available in the lab of Mara Dierssen<https://www.crg.eu/en/programmes-groups/dierssen-lab> at the CRG. The Cellular and Systems Neurobiology lab at the Center for Genomic Regulation, a leading renowned center for biomedical research in Europe offers a full-time contract for a research assistant. We seek a physicist, computational biologist, computational engineer or mathematician to collaborate on (1) the imaging and analysis of whole mouse brains using light-sheet fluorescence microscopy, (2) the development of a computational framework for studying the relation between multiscale 3D neuromorphological properties and neuronal network connectivity with applications in the study of Down syndrome and (3) the analysis of stereo-EEG recordings applied to the study of seizure generation in intractable epilepsy. The projects are led by the team leader of the Cellular and Systems Neurobiology group Dr Mara Dierssen and the candidate will tightly collaborate with the team of Dr Bing Ye (UMichigan). If interested, please apply at: https://recruitment.crg.eu/content/jobs/position/computational-biologist-re… Find detailed information on the position in the link and below. Best! Linus Manubens-Gil, PhD Lab 522.04 - Cellular & Systems Neurobiology Systems Biology Centre for Genomic Regulation (CRG) c/Dr. Aiguader 88 08003, Barcelona About the team/ lab/ department The Dierssen lab is centered on understanding cognition and behavior and their perturbation in intellectual disability. We are an interdisciplinary team of physicists, bioinformaticians and experimental biologists, and we focus on data collection (behavior, 3D imaging, genomic data) of many variables of the system (longitudinal behavioral analysis, mesoscopic analysis of neuronal networks, gene expression patterns). We take advantage of computer modeling and bioinformatics analysis (gene networks, neuronal network modeling, etc.) to tackling classical unresolved questions in the field, such as: (a) pathological disturbances of structural optimality in single cell and neuronal networks, (b) genomic dependence of cognitive disturbances, (c) identification of predictive non-invasive biomarkers, (d) discovery of pro-cognitive therapies. Whom would we like to hire? Professional experience Must Have · Experience in computer programming (MATLAB/Python/R/C++) is required · Experience in brain clearing experimental protocols is highly desirable Desirable but not required/ Nice to have · Experience in Light-Sheet Fluorescence Microscopy imaging and terabyte-sized dataset handling is desirable · Experience in designing and developing computational methods for three-dimensional modelling is recommended · Experience with and/or the ability to quickly acquire skills in electrophysiological recordings and analysis (e.g. EEG/EMG) is desirable Education and training · PhD in physics, computational neuroscience/biology, mathematics, computational engineering or related fields Languages · Fluent level of English Technical skills · A formal training and strong background in programming and modeling · Good script programming skills (MATLAB, Python, R, C++, shell scripting) · Laboratory animal care training (in accordance with RD 53/2013, category B) will be highly valued Competences · Highly developed organization skills The Offer · Contract duration: 3 years · Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales. · Target start date: September 15, 2019 We provide a highly stimulating environment with state-of-the-art infrastructures, and unique professional career development opportunities. We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation. The CRG is committed to reconcile a work and family life of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours. Application Procedure All applications must include: 1. A motivation letter addressed to Dr Mara Dierssen. 2. A complete CV including contact details. 3. Contact details of two referees. All applications must be addressed to Dr. Mara Dierssen and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Deadline: Please submit your application by 15/08/2019

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Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" [journal Entropy, IF=2.419]
by Domenico Maisto July 19, 2019

July 19, 2019

Dear Colleagues, please consider submitting a research article/review to the special issue of *Entropy* <https://www.mdpi.com/journal/entropy> “*Probabilistic Inference in Goal-Directed Human and Decision-Making*”. This special issue aims to focus on recent computational, methodological, algorithmic advances regarding inferential processing in decision-making with particular attention on efficiency and biological plausibility. Topics include: - *computational and neuronal circuits* involved in goal-directed decision making, with a focus on the inferential mechanisms; - *novel probabilistic models and methods* in decision making including information-theory approaches, statistical and free-energy minimization, hierarchical models, deep networks - *decision-making applications* in ethological, social, psychological, psychiatric, robotics, and computer science research. *Entropy <https://www.mdpi.com/journal/entropy>* is an online open access interdisciplinary peer-reviewed journal of growing popularity providing an advanced forum for the development and/or application of entropic and information-theoretic studies in a wide variety of applications. Author Benefits: - *Open Access*: free for readers, with article processing charges (APC) paid by authors or their institutions. -* High visibility*: indexed by the Science Citation Index Expanded (Web of Science), MathSciNet (AMS), Inspec (IET), Scopus and other databases. - *Rapid publication*: manuscripts are peer-reviewed and a first decision provided to authors approximately 19.1 days after submission; acceptance to publication is undertaken in 5 days (median values for papers published in this journal in the second half of 2018). More information on the special issue website: https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference Looking forward to your contributions Dr. Francesco Donnarumma <francesco.donnarumma(a)istc.cnr.it> Dr. Domenico Maisto <domenico.maisto(a)icar.cnr.it> Dr. Ivilin Stoianov <ivilin.stoianov(a)istc.cnr.it> Guest Editors

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Postdoc position in Computational Cognitive Neuroscience - TU Dresden - Correction
by Lorenz Goenner July 17, 2019

July 17, 2019

(Apologies for re-posting because of a broken web link) Dear colleagues, the Systems Neuroscience Lab (Prof. Michael Smolka) at TU Dresden invites applications for a Postdoctoral Fellow in Computational Neuroscience The position is initially limited until June 30 th, 2023, and is subject to TV-L remuneration (E13 scale, 100%). Within the Technische Universität Dresden, the Section of Systems Neuroscience is closely associated with the Departments of Psychiatry and Psychology and the Neuroimaging Center, which offers excellent research collaborations (e.g. Computational Cognitive Neuroscience Lab, Prof. Stefan Kiebel) and infrastructure (3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, as well as TMS and TDCS). Our international and multidisciplinary group conducts cognitive neuroscience research at the cutting edge and the translation to clinical applications. In order to better understand human action control we investigate cognitive processes such as value-based decision-making and learning. On the clinical side we study how these neuro-cognitive mechanisms contribute to the complex behavioral dysfunctions observed in mental disorders. Our lab is engaged in two Collaborative Research Centers (CRC). The CRC 940 ‘Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions’, and the newly established TRR 265 ‘Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions’. These centers combine research in cognitive and computational neuroscience with research in clinical psychology and psychiatry. The position is an ideal opportunity to work in an interdisciplinary group of researchers, and contribute to a wide range of projects investigating computational and neuronal underpinning of human behavior Your tasks: • Computational modelling of behavioural data from decision-making tasks • Improving existing and developing new methods (e.g., reinforcement/temporal difference learning, Markov models, Bayesian and active inference models) with support by an experienced modelling group • Preparing manuscripts and presenting results at conferences • Instructing and supervising PhD students Your profile: • University degree (master or diploma) with a strong quantitative background (e.g., computational neuroscience, physics, mathematics, computer science, statistics) • Doctoral degree and documented interest in Computational Neuroscience, Cognitive Neuroscience, Psychology • Expertise in computational modelling of behavioural data • Programming skills in common software environments (e.g., Python, MATLAB) • Keen interest in collaboration with experimental researchers to study complex human behaviour • Expertise in neuroimaging data analysis would be advantageous We offer you: • Being part of the CRCs and their scientific activities • Working in a highly interdisciplinary team with leading cognitive and computational neuroscientists We look forward to receiving your complete application (one PDF-document including a cover letter with a brief summary of research interests, full CV, and two references) until July 29th, 2019. To apply and for informal inquiries, please contact: Prof. Michael Smolka (michael.smolka(a)tu-dresden.de)

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[journals] CfP: Special Issue on Inter- and Intra-subject Variability in Brain Imaging and Decoding
by Chun-Shu Wei July 16, 2019

July 16, 2019

Dear Colleagues, In collaboration with the journal Frontiers in Computational Neuroscience, we are bringing together a selected group of international experts to contribute to an open-access article collection on: Inter- and Intra-subject Variability in Brain Imaging and Decoding ( https://www.frontiersin.org/research-topics/10801/inter--and-intra-subject-… ) We welcome you to submit your work in the field of brain imaging and decoding. Manuscripts can be submitted to this Research Topic via either of the following three journals: Frontiers in Neuroscience (Brain Imaging Methods), Frontiers in Computational Neuroscience or Frontiers in Human Neuroscience. ABOUT THIS RESEARCH TOPIC Pervasive and elusive human variability, both across and within individuals, poses a major challenge in interpreting and decoding human brain activity. Differences in brain anatomy and functionality across individuals contribute to the inter-subject variability. Within an individual, changes in neural processing, non-stationarity of brain activities, the variation of neurophysiological mechanisms, and various unknown factors might give rise to the intra-subject variability. Recently, there has been an increasing number of studies that have focused on appreciating rather than ignoring variability. Through the lens of variability, they have led to a better insight into individual differences and cross-session variations, facilitating precision functional brain mapping and decoding based on individual variability and similarity. For instance, the robustness of brain decoding has been improved by transfer learning techniques that are capable of tackling variability in data collected from different subjects across different sessions and days. On the other hand, the applicability of a neurophysiological biometric relies on its manifest inter-subject variability and minimal intra-subject variability. Critical questions, therefore, arise regarding how inter- and intra-subject variability can be observed, analyzed and modeled, what pros and cons researchers might gain from the variability, and how to deal with the variability in brain imaging and decoding. The goal of this Research Topic is to encourage researchers to examine human variability in brain imaging and decoding, with a focus on both advantages and disadvantages of inter- and intra-subject variability in mapping and modeling brain functions. We welcome empirical, theoretical and meta-analytical work and encourage authors to re-examine their datasets through the scopes of human variability rather than averaged observations and overall interpretations. Subtopics of interest include, but are not limited to: • The imaging and characteristics of inter- and intra-subject variability in neuroimaging data. • Evaluating and tracking variability within a single subject and across multiple subjects. • Obtaining neuroscientific findings from leveraging the variability in brain activities. • Enhancing the performance of brain decoding against or through variability. • Generic model learning of brain imaging • Transfer learning and model adaptation based on inter-/intra-subject variability Keywords: variability, neuroimaging, brain mapping, brain decoding, functional brain modeling, brain-computer interface, EEG, MEG, fMRI, fNIRS Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review. GUEST EDITORS Tzyy-Ping Jung, University of California, CA, United States Corey Keller, Stanford University, CA, United States Junhua Li, University of Essex, United Kingdoms Yuan-Pin Lin, National Sun Yat-sen University, Taiwan Masaki Nakanishi, University of California, CA, United States Johanna Wagner, University of California, CA, United States Chun-Shu Wei, Stanford University, CA, United States Wei Wu, Stanford University, CA, United States Yu Zhang, Stanford University, CA, United States IMPORTANT DATES 17th August 2019 – Abstract submission deadline 15th December 2019 – Manuscript submission deadline I look forward to your response. Kind Regards, Chun-Shu Wei Topic Editor, Frontiers in Computational Neuroscience On behalf of the Topic Editors. Chun-Shu Wei, Postdoctoral Fellow, Psychiatry and Behavioral Science, Stanford University cswei.tw(a)gmail.com | 858.380.8231 | https://sites.google.com/view/cswei/

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Chief Medical Officer (CMO) vacancy in Berlin-based startup
by hamed bahmani July 16, 2019

July 16, 2019

*Dopavision GmbH* is a digital-health startup based in Berlin with the mission to disrupt vision care with digital solutions. We are backed with venture capital and a research grant from the German Federal Ministry of Education and Research (BMBF). We are developing a digital solution for myopia control which aim at modulating retinal dopamine by artificial light, in order to regulate the eyeball growth. We have successfully conducted proof-of-concept experiments and are now moving into pre-clinical investigations together with national and international academic partners. We are a team of 4 experienced scientists and startup entrepreneurs and supported by renowned scientific advisors and strategic pharmaceutical partners. We are now looking for a *Chief Medical Officer (CMO) *to join the leadership team and prepare, lead, and conduct the next stage human clinical studies. If you are passionate about eye, vision, clinical studies or digital health technologies and enjoy working in an early-stage startup, then we would like to get to know you! *Your Responsibilities* · Develop our clinical investigation strategy in order to successfully launch our product as a validated medical device · Decide on the overall company strategy as a member of the leadership team · Lead our clinical investigations through all phases – you’re responsible to achieve our scientific goals and manage the project · Manage our (not-so-small) budget for clinical investigations and contribute to fund-raising activities · Build and lead your team for medical and clinical investigations · Innovate clinical study protocols for our digital medical devices, e.g., by designing new blinding and placebo methods suitable for our break-through intervention · Work closely with our regulatory and product development team, as well as the science team to align activities and solve problems together · Become an expert in previously conducted clinical studies on myopia control, eye and vision care, and existing scientific literature · Build strong partnerships with industry partners from the pharmaceutical or medical device sector, and academic partners all around the world · Write and publish the results for internationally renowned scientific journals, and present them at international conferences · Communicate the clinical strategy to investors and business stakeholders *Your Qualifications* · MD or PhD in medical sciences, vision sciences, or life sciences with proven research experience · > 5 years of experience in clinical investigations in the pharmaceutical, health care, or medical device industry, thereof 3-5 years in a leadership or project management position · Experience in digital healthcare is a plus · Ideally deep expertise in at least one of the following areas: neurobiology of the eye, ophthalmology, myopia, or optics of the eye · Working knowledge of pharmaceutical or medical device regulatory frameworks · Excellent communication skills and fluent in English; German is a plus · Strategic thinking and excellent problem-solving abilities · Entrepreneurial experience or business experience in Asia is a big plus *What we offer* · Competitive base salary plus equity · You build the team with us and define the way our company will work – as employee number 5 · Shape the future of digital medicine and address an unmet medical need that affects billions of people world-wide · Invent new protocols and ways to perform clinical investigations for digital health care together with sharp minds in the team · Continue building your scientific career by publishing your findings in renowned international journals and present them at conferences · Work together with the best scientists in the field of myopia research from all around the world – Asia, Australia, and Europe, among others · Work together with opinion leaders in digital health in Germany from our partner Flying Health, as well as our internationally leading pharmaceutical partner · Build a great, fast-learning organization with us, with a flat hierarchy and direct communication · Offices in Mindspace, the coolest co-working space in the heart of Berlin (at least in our opinion) with free yoga classes, coffee and happy hours on the terrace Sounds like your next adventure? Apply online at http://www.dopavision.com/career-cmo.html – we’re looking forward to getting to know you! Not sure? Still take a moment to reach out to get to know us or ask your questions: jobs(a)dopavision.com *Location: *Berlin *Position: *Full-time Best regards, Dr. Hamed Bahmani Founder and Managing Director, Dopavision GmbH

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Final call for the Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann July 16, 2019

July 16, 2019

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course July 1-19, 2019 Final Announcement. Enrolments close on Friday. The Modeller’s Workshop is an on-line course is for researchers and students who wish to use the Brain Dynamics Toolbox to simulate their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments close Friday 19th July, 2019. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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NEURON course at SFN 2019 meeting
by Carnevale, Nicholas July 16, 2019

July 16, 2019

Using NEURON to Model Cells and Networks Friday, Oct. 18, 2019 from 9 AM to 5 PM at a downtown Chicago location. Satellite event to the 2019 Society for Neuroscience Meeting This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reaction-diffusion with the RxD class. The registration deadline for this course is Friday Oct. 4, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html for more information and a link to the registration form. --Ted

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Open position as Chief Technology Officer (CTO) in Berlin-based startup
by hamed bahmani July 15, 2019

July 15, 2019

*Dopavision GmbH* is a digital-health startup based in Berlin with the mission to disrupt vision care with digital solutions. We are backed with venture capital and a research and development grant from the German Federal Ministry of Education and Research (BMBF). We are developing a digital solution for myopia control which can take the form of a smartphone app or an application for a virtual or augmented reality device, as well as smart glasses. We have completed proof-of-concept studies and are moving into pre-clinical investigations and technology development. We are a team of 4 experienced scientists and startup entrepreneurs and supported by renowned scientific advisors and strategic industry partners. We are now looking for a *Chief Technology Officer (CTO) *to join the leadership team and advance our product and technology strategy. If you are passionate about digital health and cutting-edge technologies and enjoy working in an early-stage startup where you can combine your strategic thinking with your hands-on mentality to develop a great consumer product, then we would like to get to know you! *Your Responsibilitie**s* · Develop our technology strategy to build a medical device which will be clinically validated and comply with medical device regulations · Decide on the overall company strategy as a member of the leadership team · Define and implement the hardware platform, software platform/technology stack and the systems infrastructure for our product · Lead the development of our application: Prototypes for different stages of experiments, and the final product · Build and lead your team of top-of-the-field developers and IT experts · Manage our product development and IT budget, and relations with external providers · Implement necessary processes for a digital medical device development setup: ISO-certification for quality management, technical documentation, and data protection · Work closely with our regulatory and clinical investigations team to successfully conduct clinical investigations, and apply for regulatory approval, risk management evaluations etc. · Communicate the technology strategy to partners and investors *Your Qualifications* · Proven experience as a CTO or similar leadership role in digital technology companies · Considerable years of experience in developing technology in a medically regulated context, ideally in a pharmaceutical, medical device or optics company · Knowledge on current digital technology trends, e.g., VR/AR/MR, eye tracking technology, smart wearables, digital displays · Track record of building successful consumer digital products, e.g., web applications, games, apps or similar · Experience with mobile native development frameworks · Understanding of budgets and business-planning · Experience with German/international data protection requirements · Excellent communication skills and fluent in English; German is a plus · Proven to be an inspiring leader to people and teams · Strategic thinking and excellent problem-solving skills · BSc/BA or higher in Computer Science, Biomedical Science, Engineering or a related field; MBA or other relevant graduate degree is a plus *What we offer* · Competitive base salary plus equity · You build the team with us and define the way our company will work – as employee number 5 · Shape the future of digital medicine and address an unmet medical need that affects billions of people worldwide · Develop a product used as a real medical treatment that can change thousands of lives · Build a great, fast-learning organization with us, with a flat hierarchy and direct communication · Access to our network of peers and partners who are shaping the Berlin ecosystem of digital health · Offices in Mindspace, the coolest co-working space in the heart of Berlin (at least in our opinion) with free yoga classes, coffee and happy hours on the terrace Sounds like your next adventure? Apply online at http://www.dopavision.com/career-cto.html – we’re looking forward to getting to know you! Not sure? Still take a moment to reach out to get to know us or ask your questions: jobs(a)dopavision.com *Location:* Berlin *Position:* Full-time Best regards, Dr. Hamed Bahmani Founder and Managing Director, Dopavision GmbH

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POSTDOCTORAL POSITIONS, BROWN UNIVERSITY (TRUCCOLO LAB)
by Wilson Truccolo July 15, 2019

July 15, 2019

Applications for postdoctoral positions in Computational Neuroscience 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 theoretical and data-driven stochastic models of neuronal network dynamics, including applications to propagation and control of epileptic seizures, and collective dynamics in neocortex. Neural data consist of recordings of ensembles of single-neurons and high-density local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates. 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/) 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 Associate Professor of Computational Neuroscience Department of Neuroscience & Carney Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Code release: SpykeTorch
by MASQUELIER Timothee July 15, 2019

July 15, 2019

We are proud to release our SpykeTorch open source code! https://github.com/miladmozafari/SpykeTorch SpykeTorch is an efficient PyTorch-based simulator of convolutional spiking neural networks, in which the neurons emit at most one spike per stimulus, and use rank-order-coding. It currently supports the STDP and Reward-modulated STDP learning rules. It can reproduce various recent papers by us and others. A Jupyter tutorial is provided, and an extensive documentation can be found here: http://cnrl.ut.ac.ir/SpykeTorch/doc/ See also the SpykeTorch paper: https://www.frontiersin.org/articles/10.3389/fnins.2019.00625/ Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini and Timothée Masquelier

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Dual Award PhD (UH/WSU) in Neuromorphic olfaction
by Michael Schmuker July 11, 2019

July 11, 2019

An exceptional opportunity for a dual award PhD position in Neuromorphic olfaction is open for EU/UK candidates at the University of Hertfordshire, UK, that includes a year abroad at Western Sydney University, Australia. The successful candidate will obtain a PhD degree from both institutions. We offer an exciting 3-year project in Neuromorphic computing under joint supervision of Dr Michael Schmuker (UHERTS), and Dr André van Schaik (WSU). The first and third year of the programme will be spent in the Biocomputation research group at UH, with the second year spent at the International Centre for Neuromorphic Systems, led by André van Schaik (WSU). The successful candidate has the unique opportunity to join two vibrant and research-driven teams at opposite ends of the world and carry home two PhD awards. The position comes with a bursary of £15,009 per year. Airfare to and from WSU in Australia is covered, too. The PhD is due to start in October 2019. EU/UK candidates with an exceptional interest in at least one of Neuromorphic computing, Event-based data processing, and chemical sensing should get in touch informally with Dr. Michael Schmuker <mailto:m.schmuker@biomachinelearning.net> by email as soon as possible. Shortlisting will begin on 21st July 2019. How to apply Download the application form <https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-fo…>, fill it out, save it to your disk, and return it to: Lynette Spelman and Emma Thorogood <mailto:doctoralcollegeadmissions@herts.ac.uk> Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net

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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes July 11, 2019

July 11, 2019

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The Impact Factor of the journal is 2.091 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Drift–diffusion models for multiple-alternative forced-choice decision making Alex Roxin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… A modified Hodgkin–Huxley model to show the effect of motor cortex stimulation on the trigeminal neuralgia network Mohammadreza Khodashenas, Golnaz Baghdadi and Farzad Towhidkhah https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach Richard Naud and André Longtin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate models Cheng Ly, Woodrow L. Shew and Andrea K. Barreiro https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Special Issue from the 2017 International Conference on Mathematical Neuroscience Zachary P. Kilpatrick, Julijana Gjorgjieva and Robert Rosenbaum 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 contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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3-year Research Associate in ActiveAI - University of Sheffield, UK
by Michael Mangan July 11, 2019

July 11, 2019

Are you a talented and ambitious computer scientist, computational neuroscientist or machine learner? Are you looking for an opportunity to develop the next generation AI algorithms that are required to realise the third wave of AI? We have a rare opportunity for a Research Associate to work on this problem within the Dept of Computer Science at the University of Sheffield (a world top 100 university) and in collaboration with world-leading neuroscientists in Australia through the prestigious £1.2m EPSRC Centre to Centre project (ActiveAI: active learning and selective attention for rapid, robust and efficient AI). Your primary role will be to develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the learning problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information, massively reducing the search space. In this way, we will both advance neuroscience and enable ActiveAI solutions which are efficient in learning and final network configuration, robust to real-world conditions and learn rapidly. You will work under the supervision of Dr Mike Mangan, and Professors Eleni Vasilaki and James Marshall, within the Department of Computer Science (top five in the UK in the most recent REF) in partnership with UK-based research collaborators in the £4.8m EPSRC Brains on Board Programme Grant. You will also lead a new collaboration with world-leading research partners in Australia (led by Prof Andrew Barron, Macquarie University) through extended secondments. You should be educated to PhD level (or be close to completion) in a related computational field (or equivalent industrial experience), with excellent skills in computational modelling, ideally the use of neural networks to either model biological systems or to solve complex tasks. Previous experience of GPU computing, embedding models onto robots, verification of models through neuroscientific or behavioural assays, are desirable although not essential, but candidates must have an aptitude for learning or improving these skills. The formal advert with application guidelines can be found here -> http://tiny.cc/gq268y -- Dr. Mike Mangan *Lecturer in Machine Learning & RoboticsSheffield Robotics & Dept of Computer ScienceUniversity of Sheffield* https://www.sheffield.ac.uk/dcs/people/academic/mmangan

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Bristol workshop 9-13 September 2019 - The Neuroscience Data Challenge
by Conor Houghton July 9, 2019

July 9, 2019

The Neuroscience Data Challenge is a collaborative workshop which will bring people together to apply modelling and data approaches to neuroscience. It will be a workshop and hackathon designed to give us the opportunity to work as colleagues to solve problems. The Neuroscience Data Challenge will be held in Bristol from 9-13 September 2019. All are welcome, there is no fee and there are some bursaries for students and postdocs. The format is based on the "study week" that is successful and popular in applied mathematics - there will be four neuroscience problems presented at the start of the week and we will self-organize around working on them together in groups. We are hoping for an informal, fun and productive week of collaborative research! For more information go to http://www.bristol.ac.uk/neural-dynamics/information/neuroscience-data-chal… All Welcome Conor on behalf of the organizing committee: Conor Houghton, Cian O'Donnell, Rui Ponte Costa, Amelia Burroughs. ________________________________________________________________________________ The Neuroscience Data Challenge is being supported by Reimagining Recruitment, a study funded by the EPSRC and hosted by Bath University, it aims to examine the success of collaborative workshops like this.

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Postdoc position in Computational Cognitive Neuroscience - TU Dresden
by Dimitrije Markovic July 9, 2019

July 9, 2019

Dear colleagues, We are looking for candidates for a four-year post-doctoral position in Computational Cognitive Neuroscience. The position is part of the newly established Transregio (TRR) 265 Funding Programme: "Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions". The candidates should show strong interest in combining research in cognitive and computational neuroscience with research in clinical psychology and psychiatry. The position is an ideal opportunity to work in an interdisciplinary group of researchers, and contribute to projects investigating computational and neuronal underpinning of human behaviour. For further details and application instructions, please see https://www.uniklinikum-dresden.de/de/jobs-und-karriere/stellenangebote/wis… Note : the application deadline has been extended to 31 July 2019. Best wishes, Dimitrije Markovic ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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Post doc at the NYU ECoG Lab
by Lucia Melloni July 9, 2019

July 9, 2019

Are you looking for an ambiguous postdoc opportunitu? keep reading ... The NYU ECoG group has an exciting opportunity for a postdoctoral fellow to contribute to a project aimed at unravelling laminar cortical computations and validating laminar resolution functional magnetic resonance imaging (fMRI) in humans. Laminar fMRI is becoming increasingly popular as it enables the study of feedback and feedforward flow of information in the living human brain (e.g., Muckli, Current Biology 2015). Yet, the neurovascular and physiological computations underlying laminar signals are not well understood. Our group is part of an exciting international collaboration that aims to rigorously validate laminar fMRI against laminar electrophysiology and develop a proper neurovascular coupling model. The postdoctoral fellow would contribute to this team effort involving researchers at NYU Langone Health, the Center for Magnetic Resonance Imaging in Minessotta (Essa Yacoub), and Maastrich University (Elia Formisano, Federico de Martino, Kamil Uludag). The project is funded by a BRAIN initiative RO1 grant. The role of the postdoc is to perform laminar electrophysiology in human subjects with epilepsy and as well as to conduct laminar fMRI in the same patients. We are seeking an enthusiastic and ambitious postdoc, with a strong background in human and/or animal electrophysiology and a desire to learn high-field MRI. No previous experience with MRI is required. A strong background in signal processing, and strong quantitative skills (e.g., Matlab, C++, Python) are required. The initial post is for 1 year with the opportunity to renew for up to 4 years. Postdoctoral researchers will be given the opportunity to participate in other lab research endeavors, and they are expected to make a strong contribution to the lab's overall research efforts. The research facilities at NYU are exceptional and include laminar electrophysiology setups as well as 7T MRI. The postdoc will join a vibrant community of researchers within NYU (NYU ECog, NYU Neuroscience Institute, and the NYU Center for Neural Science) and across the consortium of investigators at University of Minnesota and University of Maastricht. This is an excellent post for candidates who want to expand their research repertoire and learn new techniques, and to position themselves uniquely in the scientific landscape, leveraging laminar fMRI in humans to understand cortical computations. The possibility of dual training in electrophysiology and fMRI is unique. Interested individuals should apply by sending a cover letter, a CV and names of 2 referees who have agreed to provide recommendation letters to Lucia Melloni (lucia.melloni(a)nyulangone.org <mailto:lucia.melloni@nyulangone.org>) and Sasha Devore (sasha.devore(a)nyulangone.edu <mailto:sasha.devore@nyulangone.edu>). The post will be open until August 15, 2019. For any inquires please contact Lucia Melloni at lucia.melloni(a)nyulangone.org <mailto:lucia.melloni@nyulangone.org>

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PhD Position / Computational Neuroscience / Bordeaux, France
by Nicolas Rougier July 5, 2019

July 5, 2019

---------------------------------------------------------------------- Position: Phd in Computational Neuroscience Keywords: Basal Ganglia, Frontal Cortex, Decision Making, Planning Duration: 3 years, starting 01/09/2019 Location: Bordeaux, France Net salary: 1680 euros / month Contact: Fréderic Alexandre & Nicolas Rougier ---------------------------------------------------------------------- Mnemosyne (https://team.inria.fr/mnemosyne/) is an Inria research team associated with Labri, Bordeaux's computer research laboratory, hosted at the Neurocampus in Bordeaux (https://www.bordeaux-neurocampus.fr/) We work closely with labs in Neurosciences and Medicine in order to understand executive functions such as decision, reasoning and planning, using computational models of the main structure involved (frontal cortex, basal ganglia and hippocampus). We are currently looking for a motivated doctoral student to join us on the theme of decision making modeling, considering in particular the integration of indices of a different nature. This work is part of a collaborative project with the city and the university of La Rochelle and the funding for the thesis is secured (salary of 1680 euros net per month). The candidate may come from different Masters (computer science, cognitive science, neuroscience) and must have experience in computational neuroscience and machine learning with an interest in a bio-inspired approach. In addition to the CV, a letter of motivation will be proposed before an interview. Application to be sent to Frederic.Alexandre(a)inria.fr and Nicolas.Rougier(a)inria.fr

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15th Granada Seminar on Stochastic and Collective Effects in Neural Systems
by Prof. Dr. Joaquín J. Torres July 4, 2019

July 4, 2019

Dear Computational Neuroscience community This is an official announcement of the next "15th Granada Seminar on Computational and Statistical Physics" that will be held in Granada Spain, next September 17-20, 2019 in the Science Faculty of the University of Granada, Spain. The Granada Seminar is a topical conference whose pedagogical power is especially channelled towards young researchers. In fact, one interesting aspect of this meeting is the opportunity given to young researchers to present their results and to discuss their problems with leading specialists. The Granada Seminar is Organized by the "Institute Carlos I for Theoretical and Computational Physics, University of Granada, and it is Sponsored by: - Institute Carlos I, for theoretical and computational physics, University of Granada: http://ic1.ugr.es/home/ - European Physical Society This year edition the main topic of the conference is "Stochastic and Collective Effects in Neural Systems" including Biological aspects, Modeling, Dynamics, Networks, Function and Applications. The aim of this meeting is to bring together scientists interested in Neural Systems and their statistical and collective effects from real experiments, theoretical and computational models to applications. Confirmed Main Speakers: Roberto Barrio, Universidad de Zaragoza (Spain): Insect movement gaits: neuron model, CPG and patterns Ginestra Bianconi, Queen Mary University of London (UK) Jesús Cortés, Ikerbasque (Spain) Lucilla de Arcangelis, University of Campania "Luigi Vanvitelli" (Italy) Jose Maria Delgado, Universidad Pablo de Olavide (Spain): Learning as a functional state of the brain Andrea Gabrielli, Istituto dei Sistemi Complessi (Italy): Brain Network Topology Maps Schizophrenia Dysfunctional Substrates Andre Longtin, University of Ottawa (Canada): Detecting and Learning in Noisy Neurons: From Dendrites to Spontaneous Movements Joaquin Marro, Universidad de Granada (Spain):Is the Mind just an assembly of Phase Transitions? Jorge F. Mejías, University of Amsterdam (The Netherlands) Cyriel Pennartz, University of Amsterdam (The Netherlands): Predictive representations and population coding in visual and multisensory systems Dietmar Plenz, NIH National Institute of Mental Health (USA) Ander Ramos, Tecnalia (Spain) Alex Roxin, CRM Barcelona (Spain):A network model of place-cell turnover in CA1 Mavi Sánchez-Vives, Institut d'investigacions Biomèdiques (Spain) Samir Suweis, Universita di Padova (Italy): Simple (but not too simple) models to investigate complex brain dynamics Yuhai Tu, IBM Thomas J. Watson Research Center (USA): Optimal coding strategies in the periferal olfactory systems: Compressed sensing for an array of nonlinear olfactory receptor neurons with and without spontaneous activity Pablo Varona, Universidad Autonoma de Madrid (Spain) People interested to attend the conference and present their contributions please follow the link below for further information: http://ergodic.ugr.es/cp/index.php Contributions to the conference will be invited to submit an original manuscript for a forthcomming "Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing", in the Elsevier Journal Neurocomputing (Impact Factor: 4.072, Q1) -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada.

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DEADLINE NEAR: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO in CAPE TOWN
by Tim Vogels July 4, 2019

July 4, 2019

Dear all, The DEADLINE for next year’s IMBIZO is approaching very quickly, with only 4 days left. Don’t let this opportunity slip by, if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! We are very excited to announce that we have three new faculty this year, adding Prof. Eve Marder, of Brandeis University, Gruber and Kavli Prize winner, past president of SfN and generally awesome person in Neuroscience, coming with Prof Arthur Wingfield, also of Brandeis and also awesome person in neuroscience. And Prof. Henning Sprekeler, Technical University Berlin, Bernstein Award winner, and ALSO generally awesome person in neuroscience to our already great roster of lecturers. If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 8th July 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 30th June 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/ <http://isicni.gatsby.ucl.ac.uk/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. CONFIRMED FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Timothy Lillicrap - Google DeepMind Eve Marder - Brandeis University Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Anna Schapiro - University of Pennsylvania Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Arthur Wingfield - Brandeis University Byron Yu - Carnegie Mellon University Tutors Everton Agnes University of Oxford Annik Carson - McGill University Chris Currin - University of Cape Town Callie Federer - University of Colorado Grace Lindsay - University College London Richard Pang - University of Washington Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org <https://www.simonsfoundation.org/>) and the International Brain Research Organisation (IBRO) (http://ibro.info <http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa <http://trendinafrica.org/>, CNCB <http://www.cncb.ox.ac.uk/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Available Slot for Intensive Talks at CNS 2019 Workshop (W9) on "Neural Multiplexed Coding, Coexistence of Multimodal Coding Strategies in Neural Systems"
by Milad Lankarany July 3, 2019

July 3, 2019

Dear CNS-2019 attendees, Our workshop (*W9*) on "*Neural Multiplexed Coding*" will be held at CNS 2019 (Barcelona), on July 17th. Our workshop hosts 6 prestigious speakers (see our website: https://sites.google.com/view/cns-workshop-on-neural-mux/home) presenting their recent researches in 30-45 minutes, as well as a few number of intensive talks, each lasting 10-15 minutes. This is a new schedule for our workshop that we want to try, i.e., a workshop comprising larger talks (30-45 mins) + short intensive talks (10-15 mins). As the intensive talks are short, we would like to invite more speakers. So, any scientist (preference is given to Postdoc) that participates in CNS 2019 and is interested in our workshop can send me his/her request and the title of the presentation. Email: milad.lankarany(a)uhnresearch.ca or milad.lankarany(a)gmail.com Best Regards, Milad Lankarany, Ph.D. <https://sites.google.com/view/lnsbsp/home?authuser=0>

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Two Postdoctoral Positions in Auditory Biophysics: Optics & Theory
by Kozlov, Andriy July 3, 2019

July 3, 2019

We welcome applications for postdoctoral candidates with expertise in optics, instrument development, or theoretical modelling who want to apply their skills in the field of the biophysics of hearing. Two positions in Dr. Andrei Kozlov’s lab (www.kozlovlab.com<http://www.kozlovlab.com/>) in the Department of Bioengineering, Imperial College London are supported by a five-year Wellcome Trust Investigator Award: one experimental and one theoretical. We investigate mechano-electrical transduction by hair cells, the receptor cells of the inner ear. These cells can detect and amplify atomic-scale vibrations at thousands of cycles per second. We are interested in understanding the mechanisms underlying this extreme sensitivity. To achieve our goal, we combine novel experimental and theoretical approaches. The experimental position will focus on developing new optical methods, including laser interferometry, and combining them with electrophysiology. Practical knowledge of optics or optomechanics is essential for this work. For more information about this kind of research, see Kozlov et al., Nature, 2011. The theoretical position focuses on modelling mechano-electrical transduction, combining analytical and numerical techniques, and is in collaboration with Dr. Thomas Risler at Institut Curie in Paris. The successful candidate for this role will have a strong background and track record in Theoretical Soft Matter, Statistical Physics or a related discipline. For more information about this kind of research, see Gianoli, Risler and Kozlov, PNAS, 2017. The positions will start between September 2019 and January 2020. Please send the names of three references, a CV with a list of publications and preprints, and an application letter describing your interests and skills. Informal inquiries are welcome. Contact: Andrei Kozlov a.kozlov(a)imperial.ac.uk<mailto:a.kozlov@imperial.ac.uk>

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PhD Position in Data Science and Modeling in Neuroimaging at Jülich Research Centre (Germany)
by Oleksandr Popovych July 3, 2019

July 3, 2019

PhD Position in Data Science and Modeling in Neuroimaging at Jülich Research Centre and University of Düsseldorf, Germany One PhD position is available in data science and computational modeling with a focus on the data-driven analysis of neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects aiming to study the effective connectivity of functional brain networks derived from task-based and resting-state fMRI data. In particular, applicability, reliability and limitations of the Dynamical Causal Modeling (DCM) approach will be investigated in various large samples of healthy subjects and patients and compared to other approaches. We are specifically looking for candidates with training in data science/computational neuroscience/applied mathematics/physics or related fields and skills in programming and big data analysis. The candidate will be responsible for the preparation and preprocessing of the necessary fMRI data, development and implementation of data analysis pipelines, as well as writing manuscripts for publication. The position provides a unique opportunity to work in an interdisciplinary environment and training in processing, analysis and modeling of neuroimaging data. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: Master’s degree in Applied Mathematics, Physics, Engineering, Computer Science or related fields. Experience with neuroimaging data processing and analysis and related software packages (FSL, SPM, MRtrix, etc.). Experience with programming languages such as Matlab/Python/Shell scripts/C/C++. Familiarity with mathematical data modeling, parallel programming and simulations on high-performance computational clusters will be a plus. Strong English-language writing & communication skills. To apply: Please send your CV, MA certificate, names of two referees, a one-page letter of motivation (emphasizing any related work/projects), up to 3 representative publications and/or examples of program code, if available, to Dr. Oleksandr Popovych via email (o.popovych(a)fz-juelich.de) Please mention “PhD application DCM” in the subject. -- --------------------------------------- PD Dr. Oleksandr Popovych Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 3332 eMail: o.popovych(a)fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre (Germany)
by Oleksandr Popovych July 3, 2019

July 3, 2019

PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre and University of Düsseldorf, Germany One PhD position is available in computational neuroscience with a focus on mathematical modeling of brain dynamics based on neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects involving large-scale dynamical brain models derived from multimodal neuroimaging data (structural, functional & diffusion magnetic resonance imaging, MRI) combined with numerical simulations and analysis of model dynamics and parameter space. We are specifically looking for candidates with training in applied mathematics/computational neuroscience or related fields and experience in programming and numerical simulation of neuronal models/nonlinear dynamical systems. The candidate will be responsible for preparation of necessary neuroimaging data, derivation, validation and analytical and numerical investigation of the whole-brain dynamical models, and writing manuscripts for publication. The position provides an opportunity to work in an interdisciplinary environment and training in mathematical modeling of neuroimaging data and methods for data analysis. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: Master’s degree (or equivalent) in Applied Mathematics, Physics, Engineering, Computer Science or a related field. Experience with programming languages such as C/C++/CUDA/Python/Matlab/R. Familiarity with numerical simulations of nonlinear dynamical systems/differential equations/neuronal models. Experience with parallel programming and simulations on high-performance computational clusters will be a plus. Experience with neuroimaging data processing and analysis and related software packages (FSL, SPM, MRtrix, etc.) will be of advantage. Strong English-language writing & communication skills. To apply: Please send your CV, names of two referees, one-page letter of motivation (emphasizing any related work/projects), up to 3 representative publications and/or examples of program code, if available, to Dr. Oleksandr Popovych via email (o.popovych(a)fz-juelich.de) Please mention “PhD application CNS” in the subject. -- --------------------------------------- PD Dr. Oleksandr Popovych Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 3332 eMail: o.popovych(a)fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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Open Source Brain workshop 9-11 Sept 2019 & new publication
by Gleeson, Padraig July 2, 2019

July 2, 2019

[Apologies if you receive multiple copies of this due to cross-posting] The 2019 Open Source Brain workshop will be held in Alghero, Sardinia on 9-11th September 2019. Full details: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 Open Source Brain (http://www.opensourcebrain.org) is a platform for sharing and collaboratively developing models in computational neuroscience. Models of cells and circuits in standardised formats can be visualised, analysed and simulated through a standard web browser. A key driver for the development of this technology is to improve accessibility, scientific scrutiny, reproducibility and reuse of models of brain function. The platform is described in a recent paper in Neuron: https://www.cell.com/neuron/fulltext/S0896-6273(19)30444-1 The 2019 OSB Workshop will highlight the latest features of OSB and engage current and future users of the platform through invited talks, posters, hands on demonstrations, and user presentations. Since we are substantially expanding the functionality of Open Source Brain to enable sharing of standardized experimental data used to build and test the models of neurons and circuits, this year’s meeting will have two key themes: 1) Accessible sharing of cellular neuroscience data Through support for the Neurodata Without Borders (NWB) format, OSB will facilitate sharing of multiple types of experimental data used to constrain computational models, including electrophysiological recordings, Ca2+ fluorescence imaging, 2D, 3D and 4D imaging and behavioural data. Challenges, requirements and solutions to data standardization will be discussed. 2) Modelling cortical structures across scales Cortical networks are modelled at many scales from abstract representations of interacting populations (neural masses) to networks of biophysically and morphologically detailed cell models. NeuroML is being expanded to cover a greater range of these models, which will allow them to be shared and simulated on OSB, facilitating comparison of models and ideas between researchers. This ongoing work is taking place as part of the SIG on Standardised Representations of Network Structures<https://www.incf.org/activities/standards-and-best-practices/incf-special-i…>. Registration The registration fee for the meeting for 3 days will be £130. This will help cover organisation and speaker costs, meeting room hire, lunch, tea and coffee for 3 days and one workshop dinner. Please register here<https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-life-scienc…>. Registration closes on 1st September 2019. Confirmed speakers Yazan Billeh (Allen Institute, USA) Matteo Cantarelli (MetaCell Ltd) Alex Cayco Gajic (UCL, UK & École Normale Supérieure, France) Sharon Crook (Arizona State University, USA) Jeffrey S. Diamond (NINDS, USA) Matt Earnshaw (University College London, UK) Jan Fousek (Aix Marseille Université, France) Padraig Gleeson (University College London, UK) Boris Marin (Universidade Federal do ABC, Brazil) Diego Restrepo (University of Colorado, USA) Simon Schultz (Imperial College, UK) Angus Silver (University College London, UK) Sacha van Albada (Jülich Research Centre, Germany) For more details please see: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 The OSB 2019 organising committee Padraig Gleeson Matt Earnshaw Angus Silver

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Academic Fellowship positions Computational Neuroscience, Nottingham
by Mark van Rossum June 30, 2019

June 30, 2019

The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and structural and functional Imaging research. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with a strong vision that are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. For more info and the online application form see http://jobs.nottingham.ac.uk/SCI215819 For informal inquiries contact Mark van Rossum, mark.vanrossum(a)nottingham.ac.uk, +44-115-7486851 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 contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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【2019ICCBC】International Collegiate Competition for Brain-inspired Computing
by 郑浩 June 30, 2019

June 30, 2019

Dear Collegiates, International Collegiate Competition for Brain-inspired Computing [2019 ICCBC] is an annual academic activity hosted by Tsinghua University to provide a platform for international communication and collaboration on issues of integrating neuroscience and computer science to build intelligent machines and solve real-world issues. This contest is organized by the center for brain-inspired computing research [CBICR] at Tsinghua University. We look forward to talents who have insights into these issues. Final will be held in Oct in Tsinghua University. Prize is BIG! Airfare can be partly covered for finalists! More information can be found bellow and on official website: https://contest.cbicr.org/en/ ICCBC 2019 International Collegiate Competition for Brain-inspired Computing What is contest about？ How computation emerges from the human brain is a fundamental and unsolved mystery for general intelligence and behavior. The combination of neuroscience and computer science is considered as the most promising approach to the development of artificial general intelligence (AGI) - one of the most exciting blueprints of this century. How the computational principles in the brain promote artificial intelligence strategies and how to implement silicon-based brain-inspired systems are the key research topics in brain-inspired computing. In this annual contest, we gather global talents who have unique insights into these issues, or who have creative ideas on applications to solve real-world problems. This contest provides a unique platform for the participants to share their knowledge, discuss the state-of-the-art and examine the future challenges of brain-inspired computing. In addition, participants have the opportunity to win decent prizes. What is the expectation? In this year’s contest, we generalize brain-inspired computing to a broader extent, reflecting the integration of neuroscience and computer science on issues related to general intelligence. Themes include Perception, Cognition, Computation and Decision making. Embodiment can be theories, algorithms, hardware, software, application, etc. Two special topics are setup this year. The Education topic aims to promote a better education system based on our knowledge of brain development and AI strategies. The “Hybrid topic” aims to inspire ideas on hybrid computing models. Since heterogeneity is a common feature of neural system, it is of great importance to intelligent behavior but its implementation is not trivial. Hybrid models that integrate AI and spiking neurons are possible approaches. For more details, please go to https://contest.cbicr.org/en/ Organization and partner Host: Tsinghua University Organizer: Office of Scientific R&D, Tsinghua University Center for Brain-Inspired Computing Research Co-organizers: Tsinghua Holdings, Co., Ltd CETHIK Group Corporation Lynxi Technologies Co., Ltd. Awards | Total award amount | RMB 1,000,000 | | Grand prize | RMB 300,000 for one team | | First prize | RMB 100,000 for two teams | | Second prize | RMB 60,000 for three teams | | Third prize | RMB 30,000 for four teams | | Excellence prize | RMB 20,000 for six teams | | Second prize for the preliminary round | RMB 5,000 for 16 teams | Evaluation In accordance with the principles of fairness, impartiality, and openness, all entries will be evaluated based on the following criteria and weightings: Novelty (25%) Technical advancement and difficulty (20%) Completeness and reproducibility (20%) Live presentation and demonstration (15%) Application value and significance (10%) Formality of document reporting (10%) Time Table | Events | Deadline | Comments | | Online application | 28 July 2019 | Login to the official website https://contest.cbicr.org/ and fill in the registration information. | | Entry submission | 15 Sept. 2019 | Document requirements: slide presentation, technical documentation, source code, videos, application executables, etc. | | Finals | 19-20 October 2019 | 16 teams will advance to the finals. Invited Talks and Poster Session on first day Slide Presentation and Awarding on second day | Past review The contest has cumulatively received applications of 444 teams from 131 different universities. The entries covered a large range of aspects including algorithm, software and hardware. In 2018, the team from the Institute of Automation, Chinese Academy of Sciences won the special award and was awarded 300 thousand RMB in cash. For more details, please refer to the official web “Past review”: https://contest.cbicr.org/en/index.php?id=27 Contact Official website: https://contest.cbicr.org/en/ for more details Tel: (+86) 010-62787245 Email: contest(a)cbicr.org Info about Organizer The Center for Brain Inspired Computing Research (CBICR) was established in September 2014 at Tsinghua University. It is the first research center in China to advance brain-inspired intelligence, covering neural functional, computing theory, neural coding, machine learning algorithms, operational systems, programming software, system integration, architecture design, chip processing, material science and nanotechnology. The center consists of 35 affiliated faculties from seven departments at Tsinghua University, including neuroscience science, electronic engineering, microelectronics, computer science, automation, material science and precision instrument, with the goal of innovations on interdisciplinary research. The center focuses on the development of brain-inspired computing by integrating neuroscience and computer science. -- ICCBC Team

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[DEADLINE EXTENSION]: The 2nd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019): ENTERING THE ERA OF BIG DATA VIA TRANSFER LEARNING AND DATA HARMONIZATION
by MLCN Workshop June 30, 2019

June 30, 2019

Dear Colleagues,The submission deadline for MLCN 2019 workshop as a satellite event of the MICCAI 2019 conference has been extended to 14/07/2019. For more information, please visit https://mlcnws.com/call-for-papers/ . Call for Papers Recent advances in neuroimaging and machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. The MLCN 2019 workshop (https://mlcnws.com) as a satellite event of MICCAI 2019 (https://www.miccai2019.org) aims to bring together researchers in both theory and application from various fields in domains such as *e.g.* machine learning, neuroimaging, predictive clinical neuroscience, *etc.* Topics of interests include, but are not limited to: - Transfer learning in clinical neuroimaging - Model stability in transfer learning - Data prerequisites for successful transfer learning - Domain adaptation in neuroimaging - Data harmonization across sites - Data pooling – practical issues - Cross-domain learning in neuroimaging - Interpretability for transfer learning - Unsupervised methods for domain adaptation - Multi-site data analysis, from preprocessing to modeling - Big data in clinical neuroimaging - Scalable machine learning methods - Benefits, problems, and solutions of working with very large datasets SUBMISSION PROCESS: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging related to big data, transfer learning, and data harmonization. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with up to 8-pages and using the CMT system at https://cmt3.research.microsoft.com/MLCN2019. The MLCN workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI 2019 conference. IMPORTANT DATES: - Paper submission deadline: July 14, 2019 (23:59 PST) - Notification of Acceptance: August 5, 2019 - Camera-ready Submission: August 12, 2019 - Workshop Date: October 13, 2019 Best regards, MLCN 2019 Organizing Committee <https://mlcnws.com/organization/>, Email: mlcnworkshop(a)gmail.com Website: https://mlcnws.com/ twitter: @MLCNworkshop <https://twitter.com/MLCNworkshop>

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Neuronal Oscillations Workshop at CNS-2019 - July 17, 2019 - Barcelona + Data Blitz
by Horacio G. Rotstein June 29, 2019

June 29, 2019

Dear All, We would like to call your attention to the CNS-2019 ( https://www.cnsorg.org/cns-2019) workshop on "Neuronal Oscillations: mechanisms, computational properties, and functionality" on July 17, 2019. Please check the information here <http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm> http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm The CNS workshops originated as a spontaneous gathering of CNS participants interested in discussing a specific topic. In order to revive this tradition and give the opportunity to the community to interact, this year we are including a *data blitz* session. CNS participants interested in briefly presenting their work are encouraged to do so. It will be helpful if you contact us in advance to be able to plan. Looking forward to seeing you in Barcelona Horacio -- Horacio, NY/NJ area. Horacio G. Rotstein, PhD (he/him/his) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

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Fw: Research Associate Position in Early detection of Alzheimer's
by Dr. Krishna Miyapuram June 28, 2019

June 28, 2019

Applications are invited from interested and motivated candidates for the post of Research Associate in a time-bound research project funded by India-Trento Programme for Advanced Research for a temporary period purely on contractual basis. Principal Investigator Dr. Krishna Prasad Miyapuram. Project Title Early detection of Alzheimer’s using Individualized Brain Atlases and Machine Learning. Name of the Post Research Associate. Salary Rs. 36000/- + HRA (subject to revision as per DST norms). Essential Qualification PhD in Psychology, Cognitive Science, Neuroscience, Computer Science, Electrical Engineering, Biomedical Engineering, or any other related field. Desirable Qualification Previous knowledge of structural and functional MRI, Brain Imaging Techniques, Programming experience in Matlab, Brain connectivity Analysis, Familiarity with Machine Learning techniques. Tenure The appointment will be for One Year duration. How to Apply Interested candidates should apply by sending a CV by e-mail to the PI Dr Krishna Prasad Miyapuram Assistant Professor (HSS & CSE) Indian Institute of Technology – Gandhinagar (email: kprasad(a)iitgn.ac.in) preferably before July 5th, 2019. The applications will remain open until the Position is filled. Selection will be based on the interview (by telephone for outstation candidates). Shortlisted candidates will be intimated well in advance the date and time of the interview. Contact E-mail: kprasad(a)iitgn.ac.in.

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Two related articles on Efficient Coding in the Brain
by Jeff Krichmar June 28, 2019

June 28, 2019

Dear Colleagues, I don’t usually like to post papers to these lists. But, I thought it was more than just a coincidence that two papers from our group on how the brain efficiently represents information came out today. Hope you enjoy. Feedback is most welcome. "Neural correlates of sparse coding and dimensionality reduction” M Beyeler, EL Rounds, KD Carlson, N Dutt, and JL Krichmar PLoS Computational Biology https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006… "Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future” JL Krichmar, W Severa, MS Khan, JL Olds Frontiers in Neuroscience - Neuromorphic Engineering Section https://www.frontiersin.org/articles/10.3389/fnins.2019.00666/full 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

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Modeller's Workshop for the Brain Dynamics Toolbox, 1-19 July 2019.
by Stewart Heitmann June 27, 2019

June 27, 2019

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course July 1-19, 2019 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This on-line course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($100) close Friday 7th July, 2019. Late enrolments ($150) close Friday 19th July, 2019. Lifetime Access This is a self-paced on-line course. After enrolling, students have unlimited lifetime access to the course materials. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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Postdoctoral position at the University of Pittsburgh
by Anna Manelis June 27, 2019

June 27, 2019

*Postdoctoral Position opening at the University of Pittsburgh in neuroimaging of mood disorders* Candidates are being considered for a post-doctoral associate position in the Anticipation, Cognition and Emotion lab ( www.ace.pitt.edu ) at the University of Pittsburgh (http://www.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Pittsburgh is a vibrant community which promotes diversity and collaboration within its university and medical systems. Our lab works in conjunction with the University of Pittsburgh Medical Center to perform neuroimaging studies which will help us to better understand mood disorders, including major depressive disorder and bipolar disorders. *Required Qualification*s: we are seeking a highly motivated candidate with a PhD degree (or anticipated PhD degree) in psychology, cognitive neuroscience, computational neuroscience or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. A successful candidate will have excellent writing and communication skills. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory and/or anticipatory and emotional processing in individuals with mood disorders. *Responsibilities*: · Help to run fMRI/fNIRS experiments · Analyze fMRI, MRI, DTI and fNIRS neuroimaging data · Write manuscripts · Present findings from studies at conferences This is a full-time position that can be extended to 3 years. We are looking for someone to join our lab in Fall 2019 (with some flexibility). This position is funded by the NIMH and salary will vary based on experience. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to *Anna Manelis (manelisa(a)upmc.edu <manelisa(a)upmc.edu>).*

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Paper: Forward propagation closed loop learning
by Bernd Porr June 27, 2019

June 27, 2019

Dear all, we have a new paper out where we have propagated errors forwards (and not backwards): "For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to change the weights. In closed loop settings, it is far more obvious how to define desired sensory inputs than desired actions, however. To train a deep network using errors defined in the input space would call for an algorithm that can propagate those errors forwards through the network, from input layer to output layer, in much the same way that activations are propagated. In this article, we present a novel learning algorithm which performs such ‘forward-propagation’ of errors. We demonstrate its performance, first in a simple line follower and then in a 1st person shooter game." https://journals.sagepub.com/doi/10.1177/1059712319851070 The PDF of the accepted submission version can be found on my personal homepage: https://www.berndporr.me.uk/Porr_Miller_FCL_2019_Adaptive_Behaviour.pdf https://www.berndporr.me.uk/publications.php The code is available here: https://github.com/glasgowneuro/feedforward_closedloop_learning A video clip of the learning behaviour of a simple FPS agent is here: https://www.youtube.com/watch?v=QLVDBdlAQLY Best, /Bernd Porr & Paul Miller -- www: http://www.tinnitustailor.tech http://www.attys.tech http://www.glasgowneuro.tech http://www.berndporr.me.uk Mobile: +44 (0)7840 340069

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LAST DAYS to register to the Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy
by suweis infn June 26, 2019

June 26, 2019

ConTaMiNEURO 2019 Summer school ,Venice, Italy (September 9th - September 14th, 2019) - LAST DAYS TO REGISTER I would like to bring to your attention to the Summer School in Computational and Theoretical Models in Neuroscience, ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> Thanks to the support of our sponsor, in particular the University of Padova and the newborn Padova Neuroscience Center (PNC <http://pnc.unipd.it/>), the early bird registration fee for Ph.Ds students and Post Docs is 200 Euro, DEADLINE is 30 June 2019. FEW PLACES STILL AVAILABLE ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> wants to convey central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, tutorials and seminars. During the course’s mornings, distinguished international faculty deliver lectures and seminars on selected topics in computational neuroscience (see below). For the remainder of the time, students work on research projects under close supervision of tutors and faculty. Research projects will include data analyses and the development of theories to explain experimental observations. The School is will take place from 9 to 14 September at palazzo Ca Bottacin of the University Ca’Foscari, in the heart of Venice. All the details can be found at the school website: http://neuroschool19.liphlab.com/ <http://neuroschool19.liphlab.com/> ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> is co-organized by Samir Suweis, Amos Maritan, Maurizio Corbetta, Marco Formentin, Stefano Vassanelli (University of Padova), Achille Giacometti (University of Venice) and Miguel A. Munoz (University of Granada). Invited Speakers Ken Miller, Columbia University, USA. Yiota Poirazi, IMBB-FORTH, Creta. Nicolas Brunel*, Duke University, USA. Andrea Brovelli, University of Marsille. Jordi Soriano, University of Barcellona Mazzuccato Luca, Columbia University & University of Oregon Stefano Panzeri, IIT Rovereto Jesus Cortes, IKERBASQUE: The Basque Foundation for Science Lucilla De Arcangelis, University of Naples Raffaella Burioni, University of Parma Gustavo Deco, Pompeu Fabra University, Barcelona Susanne Ditlevsen, University of Copenaghen Alessandro Treves, Trieste SISSA Misha Tsodyks, Weizmann Institute of Science Marco Zorzi, University of Padova Lamberto Ballan, University of Padova Eleni Vasilaki, University of Shieffield Marcello Pelillo, European Center of Living Techonology & University of Venice Tommaso Fellin, IIT Genova Maria Victoria Sánchez Vives , ICREA-IDIBAPS (Barcelona) Marco dal Maschio, University of Padova Serena del Santo, University of Granada Lorenzo Fontolan, Janelia Farm - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ass. Prof. Samir Suweis Physics Dept., University of Padova www.liphlab.com @SamirSuweis Tel: +39 049 827 71 74

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The 3rd International Neural Dynamics Summer School 2019
by Conor Houghton June 26, 2019

June 26, 2019

We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics (TRENDs). This is an opportunity for undergraduate and Masters students to experience experimental and computational neuroscience research. More info can be found here: http://www.bristol.ac.uk/neural-dynamics/information/trends/ 04/09/2019 – 06/09/2019 Bristol University, UK The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (both in vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds (Physics, Engineering, Maths, Computer Science, Neuroscience, Psychology etc.). For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 3 July, 2019 All the best Conor

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3 year postdoc position available
by Dietmar Heinke June 25, 2019

June 25, 2019

The Computational Psychology Lab (https://comp-psych.bham.ac.uk/ ) seeks to recruit a full-time postdoctoral-level Research Fellow for a research project titled "Integrating vision and action through selection history". It is funded by two bodies, UK Research and Innovation (ESRC) and US-funding agency NSF (National Science Foundation). The US collaborator is Professor Joo-Hyun Song, Brown University https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences… The project aims at advancing our understanding of how humans execute visually-guided reaching in multi-object environments. It takes a highly interdisciplinary approach by combining computational modelling and empirical work. The research will be based on earlier work published here: Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12. http://dx.doi.org/10.1016/j.neunet.2015.10.005<http://dx.doi.org/10.1016/j.neunet.2015.10.005> Informal enquiries should be directed to Dietmar Heinke at D.G.HEINKE(a)bham.ac.uk Closing date: 24 July 2019 An on-line application can be submitted at the bottom of this page: https://bham.taleo.net/careersection/external/jobdetail.ftl?job=19000076&tz… Main Duties/Responsibilities * Undertake work within the specified research grant (ES/T002409/1): * Extend CoRLEGO to model data collected by Professor Joo-Hyun Song * Compare models using Bayesian methods * Conduct behavioural experiments under guidance of Professor Joo-Hyun Song * Disseminate research findings for publication, research seminars, etc. * Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline * Contribute to knowledge transfer in computational modelling and related areas that is of benefit to the College and the University, often under supervision of the Principle investigator * Contribute to public engagement activities * Contribute to generating funding and writing bids Person Specification Skills and Knowledge: * Programming skills (preferably in MatLab), mathematical skills Experience in at least three of the following fields: * Robotics, computer vision, computational modelling, behavioural science (human vision or/and movement control), Bayesian statistics, Markov Chain Monte Carlo (MCMC) methods, Dynamic neural fields Generic skills: * Ability to communicate complex information clearly * Ability to work in an interdisciplinary project * Understanding of and ability to contribute to broader management/administration processes Qualifications * PhD preferably in electrical engineering, computer science, physics or mathematics

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WCCI2020 Glasgow, Scotland - Call for papers
by Stefan Wermter June 25, 2019

June 25, 2019

*IEEE World Congress on Computational Intelligence* WCCI2020 Facebook <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.facebook.com_wcci2…> WCCI2020 Twitter <https://urldefense.proofpoint.com/v2/url?u=https-3A__twitter.com_wcci2020&d…> 19-24 July 2020, Scottish Event Campus <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sec.co.uk_&d=DwMFa…>, Glasgow. wcci2020.org <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_&d=DwMFaQ…> On behalf of the WCCI Organizing Committee <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_-3Fpage-5…>, it is our great pleasure to invite you to the IEEE World Congress on Computational Intelligence. The 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) is the world's largest technical event in the field of computational intelligence. IEEE WCCI 2020 will host three flagship conferences under one roof : * IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) * FUZZ-IEEE - IEEE International Conference on Fuzzy Systems * IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. *Important deadlines: <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_&d=DwMFaQ…>* 15Nov2019 Special Session & Workshop Proposals 15Dec2019 Competition & Tutorial Proposals 15Jan2020 Paper submission 15Mar2020 Paper Acceptance Notification 15Apr2020 Final paper submission & Early registration 19-24Jul2020 Conference Dates ------------------------------------------------------------------------ *Calls: <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.wcci2020.org_wp-2D…>* (click to see pdf description) *Call for Papers <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.wcci2020.org_wp-2D…> : * Papers for IEEE WCCI 2020 should be submitted electronically using the Congress website www.wcci2020.org and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. *Call for Special Sessions: * IEEE WCCI 2020 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions are to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs : Richard Duro, University of A Coruña. Spain <mailto:Richard Duro. Special Session Co-Chair. WCCI2020 Glasgow. Uof A Coru%C3%B1a. Spain<richard(a)udc.es>?subject=WCCI2020%20Glasgow,%20UK%20-%20FUZZ%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Humberto Bustince, Public University of Navarra, Pamplona, Spain <mailto:Humberto Bustince. Special Session Co-Chair. WCCI2020 Glasgow. Public Uof Navarra. Pamplona. Spain<bustince(a)unavarra.es>?subject=WCCI2020%20Glasgow,%20UK%20-%20CEC%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> David Corne, Heriot-Watt University, Scotland, UK <mailto:David Corne. Special Session Co-Chair. WCCI2020 Glasgow. Heriot-Watt U. Scotland. UK<dwcorne(a)gmail.com>?subject=WCCI2020%20Glasgow,%20UK%20-%20IJCNN%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Xiao-Jun Zeng, University of Manchester, UK <mailto:Xiao-Jun Zeng. Special Session Co-Chair. WCCI2020 Glasgow. Uof Manchester. UK<x.zeng(a)manchester.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Cross-disciplinary%20and%20Applications%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Tutorials: * IEEE WCCI 2020 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs : Barbara Hammer, Bielefeld University, Germany <mailto:Barbara Hammer. Tutorial Session Co-Chair. WCCI2020 Glasgow. Bielefeld U. Germany<bhammer(a)techfak.uni-bielefeld.de>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Plamen Angelov, Lancaster University, UK <mailto:Plamen Angelov. Tutorial Session Co-Chair. WCCI2020 Glasgow. Lancaster U. UK<p.angelov(a)lancaster.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Ponnuthurai Suganthan, Nanyang Technological University, Singapore <mailto:Ponnuthurai Suganthan. Tutorial Session Co-Chair. WCCI2020 Glasgow. Nanyang TechU. Singapore<epnsugan(a)ntu.edu.sg>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Competitions: * IEEE WCCI 2020 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chairs : Huanhuan Chen, University of Science and Technology of China, China <mailto:Huanhuan Chen. Competition Co-Chair. WCCI2020 Glasgow. Uof Science and Technology of China. China<hchen(a)ustc.edu.cn>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Jialin Liu, Southern University of Science and Technology, Shenzhen, China <mailto:Jialin Liu. Competition Co-Chair. WCCI2020 Glasgow. Southern UofS&T. Shenzhen. China<liujl(a)sustc.edu.cn>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Bill Buchanan, Edinburgh Napier University, UK <mailto:Bill Buchanan. Competition Co-Chair. WCCI2020 Glasgow. Edinburgh Napier U. UK<B.Buchanan(a)napier.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Christos Panayiotou, University of Cyprus, Cyprus <mailto:Christos Panayiotou. Competition Co-Chair. WCCI2020 Glasgow. Uof Cyprus. Cyprus<christospspamucy.ac.cy>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Workshops: * The 2020 IEEE WCCI invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below: Ali Minai, University of Cincinnati, USA <mailto:Ali Minai. Workshop Co-Chair. WCCI2020 Glasgow. Uof Cincinnati. USA<ali.minai(a)uc.edu>?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Lipo Wang, National Technological University of Singapore <mailto:Lipo Wang. Workshop Co-Chair. WCCI2020 Glasgow. National TechU. Singapore<elpwang(a)ntu.edu.sg>?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> ------------------------------------------------------------------------ *Venue: * IEEE WCCI 2020 will be held in Glasgow, Scotland, UK - one of Europe's most dynamic cultural capitals and the "World's Friendliest City" [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC) <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sec.co.uk_&d=DwMFa…>, which was a key venue for the 2014 Glasgow Commonwealth Games. ------------------------------------------------------------------------ * IEEE WCCI 2020 General Co-Chairs * Amir Hussain <mailto:Amir Hussain. General Co-Chair. WCCI2020 Glasgow. Edinburgh Napier U. Scotland. UK<hussain.doctor(a)gmail.com>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Founding Head of the Cognitive Big Data and Cybersecurity (CogBiD) Research Lab, Edinburgh Napier University, Scotland, Marios Polycarpou <mailto:Marios Polycarpou. General Co-Chair. WCCI2020 Glasgow. Uof Cyprus<mpolycar(a)ucy.ac.cy>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Director of the KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus Xin Yao <mailto:Xin Yao. General Co-Chair. WCCI2020 Glasgow. Southern Uof S&T. China<x.yao(a)cs.bham.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Chair, Dept of Computer Science and Engineering, Southern University of Science & Technology, Shenzhen, Guangdong, China *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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[meetings] Call for contributions: Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019, Okinawa, Japan
by Danish Shaikh June 25, 2019

June 25, 2019

Call for contributions ----------------------------- Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019: The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Okinawa, Japan Date: November 22, 2019 Location: Okinawa Institute of Science and Technology, Onna-son, Okinawa, Japan Workshop url: https://arilab.unit.oist.jp/swarm2019/#ws Workshop overview ---------------------------- Active perception in animals involves executing behaviours that move sensory appendages (e.g. eyes, pinnae, antennae or whiskers) in space to increase flow of sensory stimuli as well as the sampled information content. This increased sampling can significantly improve the animal's understanding of its environment. In this context, perception (interpretation of sensory stimuli) and action (behaviours that move the sensory appendages) are tightly coupled. Several biological studies have identified the important role of movement-based active sensing for increasing sensory volumes and many robotic studies have investigated the principles underlying active perception in adaptive behaviour. Insects and rodents are very promising model organisms to study active perception, as they possess highly mobile sensory appendages, a wide variety of sensilla and a well-studied nervous system. The neurorobotic approach, i.e. developing robotic models of biological neural mechanisms, is well-suited for hypothesis-testing as it allows one to isolate and embed the neural mechanism of interest within an artificial body that can sense and act in the real world. This relieves scientists from the task of modelling the statistics of sensory stimuli, as the real world provides these statistics for free. This full day workshop brings together leading experts, from both biology and neurorobotics perspectives, to shed light on the principles underlying active antennal perception as well as its neural correlates and discuss the neurorobotic approach to modelling active perception. Learning outcomes: - Understanding the basic concepts and principles of active perception - Knowledge of neural correlates of active perception - Knowledge of embodied AI and the neurorobotic approach - Applying these concepts and knowledge in developing agents/robots that utilise actively moving antennae to execute navigation behaviours such as taxis The full-day workshop consists of: - Theory (lectures): Invited talks by experts from biology and neurorobotics, - Practice tutorial: Hypothesis-testing via neurorobots in simulated and/or real-world navigation tasks, - Discussion and future directions Submission guidelines ------------------------------ Contributions in the form of 1 page conf. style abstract on active perception. This includes both studies in biological organisms as well as in robots. All abstracts must be formatted in the SWARM conference style, templates for which can be found here - https://arilab.unit.oist.jp/swarm2019/#submission Selected contributions will be presented in a form of a poster during the workshop. We particularly encourage young scientists to contribute their research results (reporting early-stage research where results are not yet available is welcome as well). We also welcome live robot demonstrations on active perception models. Submissions have to be sent to danish[at]mmmi.sdu.dk (please replace [at] with @) in PDF format only. One author per accepted workshop contribution (poster and/or demo) is required to register for and attend the workshop to present the accepted abstract. Outstanding contributions might be selected for oral presentations. Relevant dates -------------------- Deadline for abstract submission: August 21, 2019 Anywhere on Earth time - https://time.is/Anywhere_on_Earth Notification of acceptance: September 21, 2019 Workshop: November 22, 2019 Tentative list of speakers ---------------------------------- - Einat Couzin-Fuchs (University of Konstanz, Germany) - Venkatesh N. Murthy (Harvard University, USA) - Danish Shaikh (University of Southern Denmark, Denmark) - Alejandro Pequeño Zurro (University of Southern Denmark, Denmark) Workshop organizers ----------------------------- Danish Shaikh Alejandro Pequeño Zurro Contact ----------- Danish Shaikh (danish[at]mmmi.sdu.dk) Assistant professor Embodied Systems for Robotics and Learning Maersk Mc-Kinney Moller Institute University of Southern Denmark Campusvej 55, 5230 Odense M Denmark Tel. (office): +45 6550 9526 www.sdu.dk

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Computational Neuroscience PhD and Postdoc Positions, University of Calgary
by Wilten Nicola June 23, 2019

June 23, 2019

The newly formed research group of Dr. Wilten Nicola, at the Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary invites applications for talented PhD and postdoctoral researchers commencing in the fall of 2019 or Winter of 2020. The Nicola lab is focused on the interplay between network connectivity, and dynamics in populations of spiking neurons.. We attack this problem using two general approaches: *Bottom Up*: Given a set of synaptic weights, what dynamics or phenomenon emerge in a network of neurons coupled by these weights? Potential methods*: Fokker-Planck systems, Mean-field approaches, Wilson-Cowan modelling. * *Top Down*: Given a desired dynamical system that a network should display, how should the individual neurons be coupled together such that the network displays these dynamics? *Potential methods: Inverse Problem Theory and Machine Learning approaches to training Recurrent Neural Networks.* *PhD Requirements:* An undergraduate/masters degree in Mathematics, Physics, Statistics, Engineering, or other quantitative fields with a strong interest in neuroscience, or machine learning. *Postdoctoral Requirements*: A PhD in applied/pure mathematics, computational neuroscience, physics, or related quantitative fields. As part of the Hotchkiss Brain Institute, an eagerness to collaborate with experimental researchers in the department is a must! Examples include Jaideep Bains, Cam Teskey, Stephanie Borgland, and Jonathan Epp. Calgary, Canada’s fastest growing major city, is vibrant and multicultural with a population of more than 1,000,000. Situated near the Rocky Mountains, Banff National Park and Lake Louise, Calgary offers great quality of life and outstanding recreational activities. *Interested candidates for the positions should submit, via email, a curriculum vitae, and a summary of research interests. PhD candidates should also submit undergraduate/masters transcripts. Postdoctoral candidates should submit reprints of (up to) their three most relevant publications by August 15th. Submit directly to * Dr Wilten Nicola Assistant Professor Faculty of Medicine, University of Calgary Foothills Medical Center 1403 29th Street NW Calgary, Alberta, Canada T2N 2T9 Email: nicolacompneurolab(a)gmail.com *Applications will be considered until all positions are filled.*

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Full-time and Internship positions at Apple
by Burak Yildiz June 23, 2019

June 23, 2019

We have a full-time position and an internship position in Computational Neuroscience at Apple in the San Francisco Bay Area. It's a rare opportunity to do neuroscience research in industry! Please apply directly through Apple's website. - Computational Neuroscientist / Machine Learning Scientist (Full-time) https://jobs.apple.com/en-us/details/200071090/computational-neuroscientist… - Quantitative Systems Neuroscientist PhD Intern (6 months starting from September 2019) https://jobs.apple.com/en-us/details/200059097/quantitative-systems-neurosc… Burak Yildiz Sr. Research Scientist at Apple

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postdoctoral position announcement
by Yuri Dabaghian June 20, 2019

June 20, 2019

*Job Title: * *Postdoctoral Associate in Neural Circuits of Learning and Memory* NIH-funded postdoctoral positions are immediately available to study neural circuit mechanisms of learning and memory and their involvements in neurological disorders. Successful candidates will a) design and perform in vivo electrophysiological experiments that record a large number of single neurons in rats performing behavioral tasks, in combination with optogenetic, pharmacological and computational approaches, and b) carry out extensive, in-depth computational analyses of the recorded data and develop of data-driven models of neuronal network dynamics during spatial learning. Experimental position will be based in the laboratory of Dr. Daoyun Ji at Baylor College of Medicine, which conducts high-quality hypothesis-driven research on exciting questions of how specific memory representations are formed, recalled and consolidated, which aspects of memory processing are impaired in neurodegenerative diseases and how they can be rescued at the neural circuit level. Computational and modeling position, focusing on recently developed methods of data analyses, will be based in the laboratory of Dr. Yuri Dabaghian the Department of Neurology at the University of Texas Houston, McGovern Medical School. A Ph.D. in basic sciences/engineering or equivalent is required. Candidates with background in neuroscience, physical sciences, mathematics, and/or engineering are encouraged to apply. Previous experiences in data analyses, electrophysiology, animal behavior, and/or optogenetics using transgenic models or viral injections are preferred, but not required. We are looking for scientists who share our research interests and who are motivated by exciting science and eager to learn new skills. To apply, please send application materials including a detailed CV, cover letter, and contact information of 3 references to Profs. D. Ji (dji(a)bcm.edu) and Dr. Yuri Dabaghian (yuri.a.dabaghian(a)uth.tmc.edu) The position is available immediately, until filled. *Minimum Education: *Ph. D. in basic sciences or engineering. *Minimum Job Experience:* None. *Additional Information:* https://www.bcm.edu/research/labs/daoyun-ji https://med.uth.edu/neurology/faculty/yuri-a-dabaghian-phd/ Send application and inquiries to yuri.a.dabaghian(a)uth.tmc.edu and dji(a)bcm.edu. *Job Category*: Postdoctoral Fellow/Associate *Required Documents*: CV, cover letter, and contact information of 3 references *Optional Documents*: None

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Job opening at predoctoctoral level @ Madrid. Machine Learning Human Brain Aging Project
by Jaime Gomez-Ramirez June 17, 2019

June 17, 2019

One predoctoctoral position is available at Fundación CIEN (Centre for Research in Neurodegenarative Diseases) in Madrid, Spain ( https://www.fundacioncien.es/) PILEP +90 “Longevity research program Spain-Portugal +90 (PILEP+90)”. PILEP +90 is an International Research Project including the University of Braga (Portugal), University of Southern Denmark (Denmark) and Fundación CIEN (Madrid, Spain). The candidate will work in the PILEP +90 project "Application of machine learning to study factors of healthy and pathological aging”, led by Jaime Gómez-Ramírez at Fundación CIEN. The researcher will be affiliated with Big Data Research & Brain Analytics Unit, Area of NeuroImaging at Fundación CIEN. The goal of this project is to use state-of-the-art machine learning to understand human brain aging. In particular, the project will study healthy subjects 90 years or older. For this purpose, the project lead will have access to magnetic resonance imaging (MRI), lifestyle, cognitive performance and genetic data of the participants in the study. Fundación CIEN is home to a multidisciplinary community of scientists in neuroscience, with special focus on aging, both healthy and pathological. The researcher will have access to a large MRI dataset collected in the last 8 years and will collaborate with the international partners in the project. Qualifications: Candidates should have university degree in a relevant field (e.g, or computer science, physics, engineering, psychology or mathematics) by the start date. The candidate should have experience in computer programming (Python, Matlab, C) and statistical data analysis. The ideal candidate will have a publication record that includes computational modeling and empirical data analysis and will be interested to apply or be enrolled in a PhD program. The appointment is for one year, the salary is 23.400 euros gross before taxes. The contract includes contributions to the Spanish social Security system, which covers for illness, injuries and accidents at work, unemployment, maternity and paternity leave. The selection process is open for candidates that already have the legal right to work in the EU. We especially encourage applications from women and members of minorities that are underrepresented in science. The position is available immediately. The deadline to apply is the 25th of June 2019. Applicants are invited to submit their applications at https://ciberned.cientifis.com/Publica/Convocatorias/Solicitantes/Solicitan… . Applicants are requested to send in CV, degree certificate, cover letter (including a brief summary of previous research accomplishments and future plans) with two to three referee names. Applicants may contact Dr. Gomez-Ramirez directly (email: jgomez(a)fundacioncien.es) for further information. More information about the project can be found at https://cenie.eu/en/blogs/pilep90/application-data-mining-techniques-identi… Jaime Gomez-Ramirez, PhD Big Data Research & Brain Analytics Unit, Area of NeuroImaging Centre for Research in Neurodegenerative Diseases Fundación Reina Sofia Valderrebollo, 5 Madrid, Spain

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2 PhD Positions at NTNU (Norway)
by Benjamin Dunn June 17, 2019

June 17, 2019

Two PhD positions (1 for theory and 1 for experiments) are currently available to characterize the population neural activity in normal and Alzheimer’s disease animals. This is part of a collaboration between the Kavli Institute for Systems Neuroscience, NTNU and the Department of Mathematics, NTNU. Please apply here: https://www.jobbnorge.no/en/available-jobs/job/170189/2-phd-fellowships-in-… The deadline is July 1st! Ben (Benjamin Dunn)

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Ph.D. positions in Neuromorphics and Robotics at KTH Stockholm
by Jörg Conradt June 17, 2019

June 17, 2019

Here a call for open Ph.D. positions in Neuromorphics and Robotics (algorithms and hardware), exact project flexible. Application deadline July 12. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:274694 Would you know of anyone interested? Please forward. Any information needed? Please anyone inquire informally by brief email. Information on our work here ("old and somewhat outdated" pages from my former group): http://tum.neurocomputing.systems/en/research/index.html Thank you! I am very much looking forward to increasing the group at KTH. Jörg [Kth Logo] Jörg Conradt Prof. Dr. KTH Royal Institute of Technology Computational Science and Technology School of Electrical Engineering and Computer Science Lindstedtsvägen 5, SE-114 28 Stockholm, Sweden Phone: +46-8-790 6231 Email: conr(a)kth.se<mailto:conr@kth.se>, Web: www.kth.se<http://www.kth.se/>

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Full Professorship Theoretical Systems Neuroscience
by Carsten Mehring June 13, 2019

June 13, 2019

The Faculty of Biology of the University of Freiburg invites applications for a Full Professorship (W 3) for Theoretical Systems Neuroscience at the Department of Biology III to be filled as soon as possible. This professorship is also particularly suitable for highly qualified early career researchers. The future job holder should be internationally renowned for the investigation of complex brain functions using modern theoretical neuroscientific approaches. In this context, investigations at the systems level using modern approaches from the theoretical and/or computational neurosciences are particularly welcome. Thematically, the professorship should focus on one of the following areas: learning mechanisms, decision-making processes, sensory systems, sensorimotor integration/control, or the mechanistic understanding of neuronal networks in functional and dysfunctional brains. Collaborations with the experimental and theoretical neuroscientific research groups and research centres established in Freiburg are very welcome. Further information on neuroscientific research in Freiburg can be found on the website www.neuro.uni-freiburg.de <http://www.neuro.uni-freiburg.de/> as well as on the homepages of the Faculty of Biology www.bio.uni-freiburg.de <http://www.bio.uni-freiburg.de/> and the Bernstein Center Freiburg www.bcf.uni-freiburg.de <http://www.bcf.uni-freiburg.de/>. Teaching contributions to the MSc Neuroscience, the BSc and MSc Biology, the Master of Education Biology as well as contributions to the organization of the MSc Neuroscience are expected. Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching, at the level of a Habilitation according to the German academic system, are expected. We are particularly pleased to receive applications from women for the position advertised here. The following application documents are to be submitted: o Curriculum vitae o Certificates of degrees and academic qualifications as well as references o Complete list of papers and invited lectures specifying the 10 most important publications Please send your application including supporting documents mentioned above and the application form (http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf <http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf>) citing the reference number 00569, by 31.07.2019 at the latest. Please send your application to the following address in electronic form: The Dean of the Faculty of Biology, Schänzlestr. 1, D-79104 Freiburg. Via e-mail: application(a)biologie.uni-freiburg.de <mailto:application@biologie.uni-freiburg.de>Further information on the appointment procedure can be found in the Procedure Governing Appointments to Professorships at the University of Freiburg, available under http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf <http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf#_blank>

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Post-doctoral Fellow Advertisement
by Zaghloul, Kareem (NIH/NINDS) [E] June 13, 2019

June 13, 2019

Hi, I would like to post the following ad for a post-doctoral position to the computational neuroscience listserv: Position Title Post-doctoral position in human intracranial physiology and human memory Position Description 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 intracranial EEG (iEEG), captured from participants with drug resistant epilepsy and from participants 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 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. Applicants who will be attending the Society for Neuroscience (Chicago, IL) conference can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at:zaghloulka@mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs. If you could post this ad for me and confirm that everything is ok, I would appreciate it. Thank you, 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

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TVB Node#9 Workshop - Warsaw, August 31
by Julie Courtiol June 12, 2019

June 12, 2019

*The Virtual Brain: Node#9 Workshop* 31 August 2019 Warsaw, Poland This workshop will explain the fundamental principles of full brain network modelling using the open-source neuroinformatics platform The Virtual Brain (TVB) <https://www.thevirtualbrain.org/>. This simulation environment enables the biologically realistic modelling of brain network dynamics using connectome-based approaches across different brain scales. Researchers from different backgrounds can benefit from an integrative software platform including a simulation core written in Python and a supporting framework for data management. The workshop is organized with interleaved oral presentation and hands-on sessions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. The TVB Node#9 is an official training course of the Neuroinformatics2019 <https://www.neuroinformatics2019.org> holding on September 1-2, also in Warsaw. Registration and further information: bit.ly/tvb-node9 Contact: julie.courtiol(a)charite.de Best regards, Julie -- Julie Courtiol Charité Universitätsmedizin Berlin

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BRAIN Theories postdocs to develop history dependent theories across scales.
by Fidel Santamaria June 11, 2019

June 11, 2019

Two Postdoctoral positions to develop a framework to study history dependent activity across scales and species. The objective of this NIH BRAIN Theories project is to develop a unified theoretical framework to study history dependence across the nervous system. This is based on our previous work on using fractional order differential equations to study reaction diffusion and spiking dynamics in single neurons. In this project, we will further extend our theory to determine variability in cortical neurons, understand the effect of history dependence on network dynamics, coding, and information rates; and will apply our knowledge at the cellular level to predict and understand sensory processing in intact animals. This is an expansive project, with multiple collaborations. The fitting candidates will have the opportunity to interact with laboratories at McGill University, in Canada; Max Planck Institute for Dynamics & Self Organization, in Germany; and the Allen Brain Institute. Your theoretical background could be in dynamical systems, applied math, or computational neuroscience. Having knowledge of fractional order differential equations is a plus, but not required. Technically, you need to know Matlab. Knowledge of python and NEURON are a plus. You have to have a fundamental knowledge of neuroscience or demonstrate a willingness to catch up. The laboratory has all the necessary resources, from high end CPU/GPU servers, to local clusters, and access to the largest supercomputers and cloud services through the Texas Advanced Computer Center and the Chameleon Cloud. The laboratory also offers an interdisciplinary environment where experiments in cerebellar research are combined with computational and theoretical approaches. We just acquired a new multi-photon microscope with spatial light modulation capabilities that will allow us to interrogate the cerebellum in ways not possible before. San Antonio is one of the best places to live in the US. It is one of the most affordable large cities in the country, the weather is mild for most of the year, and you can afford to have a nice life. If interested, send a cover page, CV, and list of three references to fidel.santamaria(a)utsa.edu -- Fidel Santamaria, PhD Associate Professor Department of Biology One UTSA circle University of Texas at San Antonio, San Antonio, TX 78249 Office: (210) 458-6910 Lab: (210) 458-6982 Fax: (210) 458-5658 Office/Lab Location: BSB 1.03.30 http://www.utsa.edu/santamarialab/index.htm

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Official PGENESIS 2.4 release and GENESIS 2.4 Update
by Dave Beeman June 10, 2019

June 10, 2019

I would like to announce the Official Release of PGENESIS 2.4 along with a significant update to GENESIS 2.4. GENESIS is implemented with an object-oriented design that groups related object and command definitions into separately compiled libraries. Parallel GENESIS (PGENESIS) adds a library with a "postmaster" object to the usual usual GENESIS objects and commands. This allows a GENESIS simulation (e. g. a large network model) to be split into many MPI processes that communicate through the postmaster. The November 2014 release of GENESIS 2.4 was intended to be the last packaged GENESIS 2 distribution for download from the GENESIS web site (http://genesis-sim.org/GENESIS) As GENESIS is user-supported, rather than centrally developed, updates to GENESIS and PGENESIS are now obtained from the Repository for Continued Development of the GENESIS 2.4 Neural Simulator (https://github.com/genesis-sim/genesis-2.4) The object-oriented design and organization not only fosters the community development of neural models, but of the simulator itself. This new mutually-developed release of PGENESIS is such an example. As users have continued to contribute new libraries and improvements, there has been an increased use and extension of GENESIS and PGENESIS for its original purpose of realistically modeling cortical networks of multicompartmental neurons on parallel computers. Recent updates to GENESIS and a merge of the GENESIS/PGENESIS development branch from the U.S. Army Research Laboratory have addressed a number of issues in order to increase its scalability for modeling very large networks on high performance computing resources, allowing for models of millions of neurons. These improvements have made it necessary for a new release of a combined package of the May 2019 GENESIS 2.4 Update and the PGENESIS 2.4 Official Release. Information about this release and downloads are available from the GENESIS web site (http://genesis-sim.org/GENESIS) The official release of PGENESIS 2.4 is much improved from the December 2014 preliminary release. Updates of GENESIS since the 2014 release allow the fast "hsolve" solver to be used with new synaptic plasticity models and measurements of cortical field potentials. The efficient delivery of spike events when hsolve is used with large network models results in increases in simulation speed by factors of 10 to 20. This release of PGENESIS 2.4 is also now available for running large-scale network simulations on supercomputers at the Neuroscience Gateway Portal (NSG). For further information, see the https://www.nsgportal.org web page. Dave Beeman

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Neuromechanics workshop at Bernstein 2019
by Charlotte Le Mouel June 7, 2019

June 7, 2019

We are pleased to announce the "Neuromechanics in humans and other animals" workshop at the Bernstein Conference for Computational Neuroscience 2019. The workshop will take place in Berlin over two half-days, the afternoon of Tuesday 17th September, from 14h to 18h30, and the morning of Wednesday 18th September, from 8h30 to 12h30. The workshop program is attached. The list of speakers is: Prof. Friedl de Groote, KU Leuven, Belgium Prof. Ann Hallemans, University of Antwerp, Belgium Prof. Jaap van Dieën, University of Amsterdam, Netherlands Prof. Marcus Gruber, University of Konstanz, Germany Prof. Heiko Wagner, University of Münster, Germany Dr. Anne Koelewijn, FAU Erlangen-Nürnberg , Germany Dr. Susanne Lipfert, TU München, Germany Dr. Emanuel Andrada, University of Jena, Germany Registration costs for the workshop are 60 until 9th July / 80 until 30th August/ 100 on site. Further information on the conference is available here: http://bernstein-conference.de/ All the best, Dr. Charlotte Le Mouel and Dr. Alexander Spröwitz Dynamic Locomotion Group, Max Planck Institute for Intelligent Systems

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Bernstein Conference 2019 - deadlines approaching
by Bernstein Communication June 7, 2019

June 7, 2019

BERNSTEIN CONFERENCE 2019, September 17-20 in Berlin The deadline for abstracts aimed as contributed talks and posters is approaching! ************************************************************** Deadline for abstracts aimed as contributed talks and posters: June 13, 2019 Deadline for abstracts aimed as posters only: July 03, 2019 ************************************************************** ABSTRACT SUBMISSION We are inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. For abstract submission and more information please visit: bernstein-conference.de/2019/abstracts SELECTION OF CONTRIBUTED TALKS: The contributed talks will be selected in a (double-)blind review process. Please design your abstract accordingly and ensure that no author or affiliation identifiers are included. Cite all relevant prior work (including your own) only in the passive voice or in the third person (for example, “It has been shown that… [1]” or "They have shown that... [1]”), do not use the words “my” or “our”, and do not include references to funding sources. Abstracts that have not been properly anonymized cannot be considered for contributed talks. Submission of an abstract does not replace conference registration (intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=1969&language=1&Entry=9). For more information on the conference, please visit: bernstein-conference.de -- Dr. Claudia Duppé/ Dr. Nikola Schwarzer Press and Public Relations Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) phone: (+49) 0761 203 96787 mail: bernstein.communication(a)fz-juelich.de<mailto:bernstein.communication@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de/de/start_page> ______________________________________ Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany?lang=de> 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…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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postdoc position at UCL: decision neuroscience, computational psychiatry
by Hauser, Tobias June 7, 2019

June 7, 2019

The Developmental Computational Psychiatry lab, based at University College London (www.devcompsy.org<http://www.devcompsy.org>) is offering a postdoc position to work in decision neuroscience and computational psychiatry (esp. OCD). We are looking someone with a strong background in computational modelling, neuroimaging and/or psychiatry. The postdoc will be joining a young and interdisciplinary lab that works at the intersection of computational neuroscience, psychiatry, pharmacology and cognitive development. This means that the position offers the freedom to pursue own projects under Tobias' supervision. The position is based at the Max Planck UCL Centre for Computational Psychiatry & Ageing Research and the Wellcome Centre for Human Neuroimaging at UCL. This is a unique environment with access to cutting-edge neuroimaging facilities (3 & 7T fMRI, MEG, etc.) and is embedded in the very collaborative, world-class UCL computational neuroscience community. Potential candidates may contact Tobias directly to talk about the position and potential projects in person. This position is funded by Wellcome Trust. Application deadline is 15 June 2019. More details and application submission here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgwNzQ0NiZ2dF90… Best, Tobias --- Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Investigator Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk> www.tobiasuhauser.com<http://www.tobiasuhauser.com/> www.devcompsy.org<http://www.devcompsy.org>

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Research Fellow Position in Seizure Prediction
by Levin Kuhlmann June 7, 2019

June 7, 2019

We have a Research Fellow opening through a collaboration between the University of Melbourne and Monash University for someone to develop and crowdsource machine learning and data science approaches to solving seizure prediction. Seizure prediction will enable the generation of warnings so a person with epilepsy can move to safety, or activation of electrical stimulation or drug delivery to prevent seizures. Our team leverages unique long-term human brain activity data to find novel, clinically relevant solutions to seizure prediction, and publishes these findings in the highest impact neurology journals (Lancet Neurology, Nature Reviews Neurology, Nature Neuroscience, Brain, PNAS). The appointed research fellow is expected to successfully contribute to and drive innovative research activities to help make seizure prediction a viable option to support patients with epilepsy. The successful candidate will hold a PhD or equivalent qualification complemented with experience in machine learning, data science, signal processing, dynamical systems theory, time series analysis and/or cloud computing. Applications close: 2nd July 2019 To apply visit: https://careers.pageuppeople.com/422/ci/en/job/900082/research-fellow-seizu…

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Open PhD position in Juelich, Germany: An approach to tracking the provenance of data acquisition and analysis in neuroscience
by Martina Reske June 6, 2019

June 6, 2019

The Helmholtz School for Data Science in Life, Earth and Energy offers a PhD position in neuroscience! See here for more information on the specific position: https://www.hds-lee.de/fileadmin/user_upload/HDS_LEE/open_positions/An_appr… Kind regards, Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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Calling all python programmers!
by Marina June 5, 2019

June 5, 2019

Check out this unique job opportunity at the Allen Institute for Brain Science and apply to be part of a diverse team of neuroscientists and engineers working to understand how experience influences neural processing. Python fluency and a desire to work as part of a team are key qualifications. Apply here: Job posting on Indeed <https://www.indeed.com/viewjob?jk=964ae8a153d09354&q=allen+institute&l=Seat…> *Software Engineer I – Software tools for behavioral neuroscience * The Allen Institute for Brain Science seeks a Software Engineer to be an essential member of a scientific team investigating how neural circuits represent visual categories and how this coding is modified by experience, expectation, and motivation. The datasets created as part of this project will be publicly released as an open data resource for the community, in line with the Allen Institute’s core principles of big science, open science & team science. The primary role of this Software Engineer will be to work closely with neuroscientists and engineers to develop and maintain software tools for conducting and analyzing experiments designed to measure brain activity during behavior. This will require developing an in depth understanding of the scientific motivation and rationale of these studies in order to effectively translate scientific requirements into code. Accordingly, experience with or interest in neuroscience is highly valued. As part of a highly collaborative environment with an existing software ecosystem, good communication and enthusiasm for working with and learning from others is essential to this role. This position will serve as a bridge between scientific and engineering teams by contributing to early development alongside scientists, then helping to translate that development work into a highly standardized production environment. This will involve making use of existing tools and building extensions that can be used for new avenues of research. Responsibilities of this position include designing and writing stimulus control software, testing and troubleshooting code for running experiments and interacting with experimental hardware, building visualization tools to observe data acquisition in real time, writing tests, validation functions, and documentation to ensure that code is robust and results are accurate, attending meetings to discuss scientific goals and task requirements, and facilitating cross team coordination. *RESPONSIBILITIES* - Collaborate with diverse scientific and technical teams - Contribute to the design and creation of open data resources - Work with scientists and software engineers to transform complex requirements into software - Develop code to control and interact with hardware for running experiments - Implement behavior task logic in code using existing or new codebases - Understand and utilize internal databases for data management - Create and analyze visual stimuli such as images or 3D rendered objects - Write, test and troubleshoot scripts for running behavior experiments - Write unit tests and validation functions to ensure that software is working according to specifications - Write well documented code, refactor and document existing code - Manage scientific analysis codebase, address GitHub issues, maintain documentation - Build visualization tools to evaluate data quality and scientific results - Transfer knowledge of scientific code to the Process Engineering team for production implementation - Enjoys solving problems - Strong communication skills - Desire to work as part of a team in a collaborative environment - Dedicated team player *REQUIRED QUALIFICATIONS* - Bachelor’s degree in a relevant technical discipline, such as computer science, computational neuroscience, data science, or biomedical engineering - Proficient in Python - Strong programming ability for scientific computing - Experience with Python tools for scientific computing (numpy, scipy, pandas, scikit-learn, scikit-image, etc) - Working knowledge of Git for version control and collaborative coding - Experience writing unit tests, debugging code, using profiling tools *DESIRED QUALIFICATIONS* - 1+ years of relevant experience in a team oriented software development environment - 1+ years of experience with scientific computing - Experience with systems or behavioral neuroscience - Experience refactoring existing code bases to improve maintainability. - Experience with relational (e.g. postgres, SQL) and/or distributed (e.g. MongoDB) databases - Experience with scientific data visualization - Experience with image or signal processing - Experience with hardware interfaces, graphical user interfaces - Experience meeting aggressive timelines and deliverables - Experience pursuing research projects in collaborative fashion

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postdoctoral position
by Daniel Ferris June 5, 2019

June 5, 2019

A postdoctoral researcher position studying human locomotion is available in the laboratory of Dr. Daniel Ferris ( https://faculty.eng.ufl.edu/human-neuromechanics-laboratory) This position is for an initial one-year appointment, and has the potential to be renewed for an additional three years based on performance and funding availability. Dr. Ferris has a long history of training professionals who have entered and succeeded in both academic and industry positions. The postdoctoral research will work on a currently funded NIH project (U01 AG061389) designed to identify neural correlates of mobility impairments in older adults. Research will involve using high-density electroencephalography (EEG) to track changes in electrocortical dynamics in older adults in a longitudinal study. Subjects will walk on a range of terrain surfaces to determine how they compensate for surfaces that challenge their stability. We will determine whether poorer walking performance is associated with the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH). CRUNCH is a well-supported model of brain activity patterns that are seen when older individuals perform tasks of increasing complexity. CRUNCH describes the over-recruitment of frontoparietal brain networks that older adults exhibit in comparison to young adults, even at low levels of task complexity. CRUNCH also describes the limited reserve resources available in the older brain. These factors cause older adults to quickly reach a ceiling in brain resources when performing tasks of increasing complexity. *Attributes of UF and Gainesville*: The BME Department is housed in a state-of-the art building that is located in the medical school and steps from engineering. The University of Florida is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that’s comfortable for families, yet attractive for young professionals. In 2013 the financial website NerdWallet deemed Gainesville the #1 fastest growing US city ( http://www.eng.ufl.edu/careers/why-gainesville) The J. Crayton Pruitt Family Department of Biomedical Engineering is one of only a few departments in the nation to be co-localized with a top-ranked medical school, veterinary school and dental school. The department is housed in a new state-of-the-art building (completed in 2010) that is co-located with the medical school and steps from engineering. Biomedical Engineering at UF partners with many local research centers and institutes including the McKnight Brain Institute, the Clinical and Translational Science Institute, the National High Magnetic Field Laboratory and the Malcom Randall VA Medical Center. *Minimum Qualifications*: Applicants must have a Ph.D. in neuroscience, biomedical engineering, kinesiology or a related biomedical science area. Applicants must have experience with manuscript preparation and submission. Experience with Matlab, EEGLAB, EEG, and motion analysis is desirable. *Salary:* minimum is $48,000 annually *Days to post:* Position is open until filled. *Special Instructions to applicants:* In addition to applying online to Careers at UF (https://jobs.ufl.edu/) Applicants should send a CV, a brief statement of interest, and contact information for two references to Dr. Ferris at dferris(a)bme.ufl.edu. Review of applications will start immediately and continue until the position is filled. -- Daniel P. Ferris, Ph.D. Editor-In-Chief, IEEE-TNSRE editortnsre(a)gmail.com

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Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen
by Rufin VanRullen June 5, 2019

June 5, 2019

Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen [Apologies for cross-postings] We are seeking talented and motivated students and post-docs for a number of open positions, in a collaborative effort between the labs of Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse). The positions will be based in Toulouse (France), with numerous opportunities to travel, in particular for visits to and close collaborations with the Serre lab at Brown University (USA). The successful candidates will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. Applicants for the PhD positions should hold a Masters degree or equivalent. Applicants for the post-doc positions should hold a PhD, or expect to receive their PhD shortly. Candidates must have a strong background in computer vision and/or computational neuroscience and/or machine learning. Excellent python programming skills and Tensorflow/PyTorch experience are required. Additionally, applicants at the post-doc level should ideally have a track record of relevant publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.). Exceptional candidates with a primary degree in Neuroscience and strong programming/quantitative abilities will also be considered. The fellows will be located in a state-of-the-art facility within the new ANITI (Artificial and Natural Intelligence Toulouse Institute) research center in Toulouse, France. They will be part of the AI Research Chairs held by Thomas Serre ("Reverse-engineering the brain") and Rufin VanRullen ("Deep Learning with semantic, cognitive and biological constraints"). They will also benefit from a lively local community of Deep Learning researchers: the Toulouse Interdisciplinary Deep Learning "TIdDLe" group (https://tiddle-group.github.io) Perks include: competitive salaries, clement weather, high quality of life, vibrant research environment. To apply, send a CV, a short (<1 page) explanation of research interests, and the name of 3 potential referees to thomas_serre(a)brown.edu and rufin.vanrullen(a)cnrs.fr The positions start in Fall 2019 (later start dates can be negotiated), the application procedure is and will remain open until all positions are filled. For more information about ongoing research projects in our labs, consult: http://serre-lab.clps.brown.edu/ and http://cerco.ups-tlse.fr/~rufin/ Some relevant papers: D. Linsley, J. Kim, & T. Serre. Sample-efficient image segmentation through recurrence. ArXiv 2019. https://arxiv.org/abs/1811.11356 D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. Neural Information Processing Systems, 2018. https://neurips.cc/Conferences/2018/Schedule?showEvent=11042 D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and where to attend. International Conference on Learning Representations, 2019. https://openreview.net/forum?id=BJgLg3R9KQ VanRullen, R., Reddy, L. (2019). Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. Nat Comm Biol. https://www.nature.com/articles/s42003-019-0438-y VanRullen, R. (2017). Perception Science in the age of Deep Neural Networks. Front. Psychology 8:142. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.00142/full McLelland, D. & VanRullen, R. (2016). Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. PLoS Comput Biol 12(10), e1005162. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005…

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Post-doctoral position in neural circuitry underlying sensory perception
by Pedro Lagomarsino de Leon Roig June 5, 2019

June 5, 2019

We invite applications for two postdoctoral positions focusing on the application of causal optogenetic approaches to dissect the neural circuits underlying sensory perception. The applicants should have a strong background in neurophysiology, circuit neuroscience, or behavioral neuroscience and be highly independent with a strong propensity for interdisciplinary research. Previous experience with electrophysiological recordings, two-photon GCaMP imaging, optogenetics or behavioral analysis is desirable. Candidates must hold a PhD in neuroscience, physics, bio-engineering or a related discipline and be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and who are willing to interact with both experimental and theoretical neuroscientists. Research activities will be carried out in the Optical Approaches to Brain Function Laboratory, supervised by Dr. Fellin. For reference to recent work please see Forli et al. Cell Reports 2018, Zucca et al. eLife 2017; Bovetti and Fellin, J. Neurosci. Methods 2015; Beltramo et al., Nat. Neurosci. 2013. Applications (full CV, two recommendation letters, and statement of research interest) should be sent by email to Dr. Tommaso Fellin ( tommaso.fellin(a)iit.it)

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Post-doc Position in Open-Ended Deep Reinforcement Learning
by Jochen Triesch June 4, 2019

June 4, 2019

We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu) For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction. We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus. The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living. Applications should be sent as a single pdf file to triesch(a)fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year. -- 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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one postdoc position on testing models of mood and meta-cognition through large scale mobile platform - UPF & Telefonica Alpha (Barcelona)
by Alexandre Hyafil June 4, 2019

June 4, 2019

One fully funded postdoc position is available under the supervision of Rubén Moreno Bote and Alexandre Hyafil jointly between University Pompeu Fabra (UPF) and the innovation facility Alpha powered by Telefonica, both in Barcelona, Spain. The position involves part time at the Theoretical and Cognitive Neuroscience group at the *Center for Brain and Cognition* (UPF)( https://www.upf.edu/web/ruben-moreno-bote) and at Alpha (www.alpha.company/) Alpha was established by Telefonica in January 2016 to address some of the biggest problems in society by conceiving and delivering radical solutions and breakthrough technology. The candidate will use psychophysics tasks on a large-scale mobile platform with >5k users to track the dynamics of meta-cognition and mood across various days. Candidates should have a PhD and expertise in Computational Neuroscience, Cognitive neuroscience or Cognitive psychology. Ideally he/she should have ample experience with psychophysics and sophisticated data analysis / machine learning techniques. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona. Candidates, please send a CV, letter of motivation and contact emails for references to alexandre.hyafil(a)upf.edu. Informal enquiries are recommended. Gross salary: 36 k€/year. Deadline: until the position is filled. Starting date: as soon as possible. Initial appointment is for one year.

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Independent Research Fellow in Neural Data Science (UK)
by Mark Humphries June 3, 2019

June 3, 2019

The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment. We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently. For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2 For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019 Please send informal enquiries to Professor Mark Humphries: mark.humphries(a)nottingham.ac.uk 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 contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Full-Time Research Assistant (RA)/ Lab Manager at Max Planck Institute, Research Group of Lucia Melloni
by Lucia Melloni June 1, 2019

June 1, 2019

We are hiring! Come join us as a Research Assistant/Lab Manager We are looking for a passionate and talented Lab Manager to join the research group of Lucia Melloni at the Max Planck Institute for Empirical Aesthetics (Frankfurt am Main, Germany). Our lab is interested in understanding why we perceive and remember the way we do, and specifically why we are conscious. To tackle those questions we use a range of methods including psychophysics, magnetoencephalography, functional magnetic resonance imaging, and invasive recordings in epilepsy patients. The lab manager is expected to provide support for research activities carried out in the lab but also to pursue research projects of his/her own. The position is particularly suited for a recent graduate from a Neuroscience, Psychology, Cognitive Science, Computer Science or related program who is seeking to work in an innovative research environment in preparation for graduate school. A two-year commitment is expected; the anticipated start date is August 2019 or soon after. Interested applicants are welcome to email Lucia Melloni directly for enquiries regarding the position (lucia.melloni(a)ae.mpg <mailto:lucia.melloni@ae.mpg>.de). Please submit your application, including a CV and a cover letter describing your background, experience and motivation - preferably in pdf format, and the names of two references that have previously agreed to be contacted no later than June 24, 2019, to: job(a)ae.mpg.de <mailto:job@ae.mpg.de> and lucia.melloni(a)ae.mpg.de <mailto:lucia.melloni@ae.mpg.de> with the subject Lab Manager L.Melloni For the full job description please see here <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>: https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht… <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>

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6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality". Registration + Abstract submission are now open
by MFES, events May 31, 2019

May 31, 2019

6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality" 5-6 September 2019 Frankfurt am Main, Germany =========================================== The Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2019 will take place this year on September 5th and 6th at the Ernst Strüngmann Institute in Frankfurt, Germany. This year's theme is 'The recurrent cortex: feedback, dynamics, and dimensionality'. The conference will feature eleven internationally renowned speakers who will give talks on neural feedback, signal dimensionality, and temporal dynamics. Ample time for both formal and informal discussion has been included in the schedule. There will also be a poster session for which we welcome submissions. Confirmed speakers =========================================== Sacha van Albada Alessandra Angelucci Carina Curto Peter Dayan Thomas Fraps Nikolaus Kriegeskorte Jakob Macke Tatyana Sharpee Fred Wolf Rafael Yuste Li Zhaoping Registration and abstract submission are now open! =========================================== For more information and to register for the conference or submit a poster presentation, please visit: www.esi-frankfurt.de/esisync/<http://www.esi-frankfurt.de/esisync/> Or contact: esi-sync(a)esi-frankfurt.de<mailto:esi-sync@esi-frankfurt.de> Limited spaces are available, so early registration is encouraged. Best Regards, The ESI SyNC 2019 organizing team: Wolf Singer Pascal Fries Renata Vajda William Barnes Christini Katsanevaki Katharine Shapcott Cem Uran Yiling Yang

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Threshold Networks conference - Nottingham
by Stephen Coombes May 30, 2019

May 30, 2019

Threshold Networks July 22 - 24, 2019 Nottingham, UK https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.notti…> This workshop will bring together a community of people interested in both networks and dynamics, with an eye to both mathematical tractability and applications to biology, engineering, physics, and the social sciences. The emphasis will be on ‘thresholds’ in their broadest sense as exemplified by node dynamics or interactions that are described by simple, yet possibly non-smooth or discontinuous switch-like processes. The workshop will cover both theory and applications. The meeting will have no parallel sessions, and it is expected to involve around 60 participants (with 11 main speakers) and contributed poster presentations. Speakers: Chris Bick, University of Exeter, UK Mario Di Bernardo, University of Bristol, UK Ginestra Bianconi, Queen Mary University of London, UK Jonathan Crofts, Nottingham Trent University, UK Des Higham, University of Strathclyde, UK Renaud Lambiotte, University of Oxford, UK Naoki Masuda, University of Bristol, UK Peter Mucha, University of North Carolina, USA Sarah Muldoon, University at Buffalo, USA Yamir Moreno, University of Zaragoza, Spain Mason Porter, UCLA, USA We are accepting abstracts for poster presentations at ThresholdNetworks2019(a)nottingham.ac.uk <mailto:ThresholdNetworks2019@nottingham.ac.uk> The registration fee for the conference is 100.00 GBP. A “Tutorial Day” (covering key concepts in dynamical systems and network science) will also take place prior to the meeting (on July 21). Some financial assistance may be available to assist graduate students who attend both the training workshop and the conference. Further details of this meeting and how to register may be found at https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.notti…> Scientific Organisers Yi Ming Lai, Rüdiger Thul, and Stephen Coombes, University of Nottingham Mason A. Porter, UCLA Enquiries should be sent to: ThresholdNetworks2019(a)nottingham.ac.uk <mailto:ThresholdNetworks2019@nottingham.ac.uk> 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 contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Call for abstracts: RSS2019 Workshop "Pervasively Neuro-Dynamic Robotics"
by Yulia Sandamirskaya May 29, 2019

May 29, 2019

Dear Colleagues, we are excited to invite you to attend the Workshop “Pervasively Neuro-Dynamic Robotics: Do insights from neuroscience, cognitive science, and neuromorphic engineering lead to a radically new vision?”: https://www.ini.rub.de/rss2019-workshop/ <https://www.ini.rub.de/rss2019-workshop/> The workshop will be held on June 23 (afternoon) 2019 in Freiburg, Germany, as part of the Robotics Science and Systems (RSS) 2019 conference: http://www.roboticsconference.org <http://www.roboticsconference.org/> We invite submissions of 1-2 page abtracts describing recent work on neuronal and cognitive architectures than emphasize autonomy of behavior generation. The selected abstracts will be invited to be presented as a Demo showing autonomous generation of behavior and/or Poster showing a recent example of a neuronal cognitive architecture You can submit your abstract by email to ysandamirskaya(a)ini.uzh.ch <mailto:ysandamirskaya@ini.uzh.ch> . Please, make sure that your submission contains your institutional address. If you like, you can attach a photo, which we will upload on the Workshop's webpage. Deadline for submission: 8. June 2019! Decisions will be announce on June 10. We are looking forward to your submissions and our discussions during the workshop! Yulia Sandamirskaya and Gregor Schöner — Workshop organisers — — Dr. Yulia Sandamirskaya Institute of Neuroinformatics (INI) UZH / ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: ysandamirskaya(a)ini.uzh.ch <mailto:ysandamirskaya@ini.uzh.ch> Tel: +41 44 63 53045 www.sandamirskaya.eu <http://www.sandamirskaya.eu/> https://neurotechai.eu <https://neurotechai.eu/>

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Multiple postdoc positions uOttawa
by Richard Naud May 29, 2019

May 29, 2019

Multiple postdoc positions uOttawa Theoretical neuroscience, nonlinear/statistical physics, cellular electrophysiology and imaging, computational neuroscience University of Ottawa Multiple theoretical, computational and experimental neuroscience postdoctoral positions are available immediately at the Centre for Neural Dynamics of the University of Ottawa. Position 1: Theoretical neuroscience and nonlinear/statistical physics focusing on the dynamics of a population of core recurrent neurons within the hippocampus and their role in temporal and spatial memory. The candidate will be involved in collaborations between Profs. Len Maler, André Longtin and Jean-Claude Béïque. Position 2: Experimental and computational neuroscience focusing on dendritic integration. Expertise in cellular electrophysiology and/or computational neuroscience is an asset. The candidate will be involved in collaborations between Profs. Richard Naud and Jean-Claude Béïque. Position 3: Computational and experimental neuroscience focusing on dendritic integration and recurrent circuitry. Expertise in cellular electrophysiology and/or computational neuroscience is an asset. The candidate will be involved in collaborations between Profs. André Longtin, Richard Naud, Jean-Claude Béïque and Len Maler. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics. uOttawa’s Neuroscience community is fast expanding, highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the UNESCO World Heritage Rideau Canal, and is surrounded by an extensive greenbelt and the vast Gatineau Park twenty minutes away. This bilingual, safe and culturally-rich city lies along the border between the provinces of Ontario and Québec, is a few hours of driving away from Montréal and Toronto and served by an international airport. Each position is for one year with automatic renewal for a second year following satisfactory progress, and a possible extension to a third year. Interested candidates should submit their CV and a brief statement of research interests to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> . The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. Jean-Claude Béïque André Longtin Len Maler Richard Naud

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IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO 2020 #isiCNI2020
by Antrobus, Alexander May 29, 2019

May 29, 2019

We would like to draw your attention to the fourth IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 30th June 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 30th June 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/<http://isicni.gatsby.ucl.ac.uk/> Questions? isicn.imbizo(a)gmail.com<mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. INVITED FACULTY Dora Angelaki - Baylor College of Medicine Demba Ba - Harvard University Adrienne Fairhall - Washington University Ila Fiete - University of Texas Peter Latham - University College London Timothy Lillicrap - Google DeepMind Blake Richards - University of Toronto Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Thomas Tagoe - University of Ghana Andrew Trevelyan - Newcastle University Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Byron Yu - Carnegie Mellon University Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org<https://www.simonsfoundation.org/>) and the International Brain Research Organisation (IBRO) (http://ibro.info<http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa<http://trendinafrica.org/>, CNCB<http://www.cncb.ox.ac.uk/>, Gatsby Foundation<http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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PhD positions in Neuromorphic olfaction
by Michael Schmuker May 29, 2019

May 29, 2019

PhD positions in Neuromorphic machine learning, AI and robotics for chemical sensing Biocomputation Group University of Hertfordshire UK We are seeking candidates who want to join an international team of researchers with the goal to push the boundaries of chemical discovery. We use machine learning, AI and robotics to develop new methods for chemical sensing (electronic noses), gas-based navigation in robots, and knowledge discovery in chemical space. Our group leverages a new kind of computing hardware, so called neuromorphic systems, to translate processes from the brain into algorithms for efficient computing. We take inspiration from neuroscience to develop massively parallel, event-based, and power-efficient algorithms for machine learning, inference and control. Possible project topics include: * Bio-inspired signal processing and pattern recognition for chemical sensing, * Gas-based navigation for robots, * Deep learning for fragrance and aroma discovery, * Computing on neuromorphic hardware. Candidates with diverse skill profile are most welcome, e.g. with a background in: * Machine learning and AI, or * Neuroscience and neural computation, or * Signal processing and computer engineering, or * Fragrance/aroma chemistry and computational chemistry methods . Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible, too. Please contact Dr Michael Schmuker for informal inquiries (m.schmuker(a)biomachinelearning.net ). Application forms and instructions how to apply are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research… . The short-listing process will begin on 1 July 2019. — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net

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Research Fellow(s), Max Planck UCL Centre London
by Fischer, Susan May 29, 2019

May 29, 2019

Research Fellow(s) Wellcome Centre for Human Neuroimaging UCL Queen Square Institute of Neurology MAX PLANCK UCL CENTRE FOR COMPUTATIONAL PSYCHIATRY AND AGEING At the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, we are seeking multiple suitably qualified postdoctoral fellows for a new initiative with Telefónica Innovación Alpha. The overarching goal is to exploit computational approaches to brain and behaviour to leverage insights into core deficits that underpin behavioural change and mental well-being. The postholder will be directly involved in tech-transfer of the research results achieving an immediate real-world impact and improving mental health of the general population. Supervision will be provided by Ray Dolan, Steve Fleming, Tobias Hauser, Quentin Huys, and Robb Rutledge. Applicants must have, or be close to obtaining, a PhD in neuroscience, psychology, or a quantitative field (e.g. Computer Science, Engineering, Physics). Expertise using computational approaches in the study of reinforcement learning and decision making or expertise with machine learning techniques is essential, so is knowledge of theoretical and computational neuroscience in relation to learning and decision making. Experience in fMRI and/or MEG is desirable. Experience in smartphone-based data acquisition and in collaborating with industry and start-ups and/or in supporting tech-transfer is desirable. Positions are available as soon as possible and are funded for 2 years in the first instance. Starting salary on the UCL Grade 7 scale, £35,328 – £42,701 pa, inclusive of London Allowance, superannuable. You should apply for this post through UCL's online recruitment – www.ucl.ac.uk/hr/jobs<http://www.ucl.ac.uk/hr/jobs> where you can download a job description and person specification using ref: 1803769. If you have any queries regarding the application process, please contact Miss E Bertram, Personnel Manager, UCL Institute of Neurology, (email: IoN.HRAdmin(a)ucl.ac.uk<mailto:IoN.HRAdmin@ucl.ac.uk>). It would be helpful if applicants could provide a telephone number that they can be contacted on during office hours. Applicants may contact Professor Ray Dolan directly (email: r.dolan(a)ucl.ac.uk<mailto:r.dolan@ucl.ac.uk>) for further information. Closing date: 2 June 2019 ________________________________ Susan Fischer Research Coordinator (London) Max Planck UCL Centre for Computational Psychiatry and Ageing Research Russell Square House 10-12 Russell Square London, WC1B 5EH Tel: +44 (0)207 679 8187 https://www.mps-ucl-centre.mpg.de/en Follow us on Twitter: @MPC_CompPsych<https://twitter.com/MPC_CompPsych>

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[High Performance Computing] Become a specialist!
by Master in HPC May 29, 2019

May 29, 2019

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Wellcome Trust funded four-year PhD programme in Neural Dynamics.
by Conor Houghton May 29, 2019

May 29, 2019

We are looking for applicants to the Neural Dynamics four-year PhD programme at the University of Bristol; this is to fill one place to join the cohort starting in September 2019. http://www.bristol.ac.uk/neural-dynamics/ <http://www.bristol.ac.uk/neural-dynamics/> We offer a generous four-year studentship stipend, PhD registration fees at the current Home/EU rate, substantial research expenses, and funds for travel to conferences or courses. We are able to waive the international fee for a successful international student. The deadline for applications is Wednesday 19 June 2019. All the best Conor Houghton

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Job Openings in Neuromorphic Computing
by Peter Blouw May 28, 2019

May 28, 2019

Applied Brain Research <https://appliedbrainresearch.com/> (ABR) is a company that develops software and builds AI applications <https://www.youtube.com/watch?list=PL0Xs4sfQU-Q1MeTNaizzFWYv1Xz3ua7ZA&v=mua…>using neuromorphic methods and hardware. Our fifteen person team spun out of a computational neuroscience lab at the University of Waterloo, and works with world leading industrial partners and has early access to cutting edge technology to develop the next generation of AI hardware <https://vimeo.com/262517015>. We are growing. We are looking to hire for two positions: an FPGA Design Engineer <https://appliedbrainresearch.com/careers/?jobId=85z2t_rOLoOR>, and a Machine Learning Engineer <https://appliedbrainresearch.com/careers/?jobId=pyH1jqKudezj>. Further details about each position can be found by following the links above. For any general questions, feel free to contact info(a)appliedbrainresearch.com. We look forward to hearing from you!

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!) - Application deadline June 3
by Klaus Wimmer May 28, 2019

May 28, 2019

Applications to the new Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) are open until June 3rd. Please see the course website for further details: www.bambschool.org. BAMB! <http://www.bambschool.org> teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply. Dates and location: September 4-10, downtown Barcelona, Spain Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (UPF/CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (UPF/CRM, Barcelona) Kerstin Preuschoff (Geneva) Alfonso Renart (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund <https://www.psychologicalscience.org/members/awards-and-honors/estes-fund>, from the Sociedad Española de Neurociencia <http://www.senc.es/> and from the Centre de Recerca Matemática <http://www.crm.cat>.

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[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE
by Gigg Liu May 27, 2019

May 27, 2019

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

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Post-doc in Computational Neuroimaging of Decision-Making
by Yannis Delis May 26, 2019

May 26, 2019

We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds. The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand. The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable. Interested candidates are invited to contact Dr. Ioannis Delis (*i.delis(a)leeds.ac.uk <i.delis(a)leeds.ac.uk>*), email their CV and briefly explain their interest in this position. Starting date is flexible.

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ReScience C : special issue on 2019 ICLR Reproducibility Challenge in machine learning
by Nicolas Rougier May 23, 2019

May 23, 2019

Dear all, It’s my great pleasure to announce that selected papers from the 2019 ICLR Reproducibility Challenge in machine learning (coordinated by J.Pineau) have been published in ReScience C and are freely accessible at: ReScience C, volume 5, issue 2 (2019), ICLR Reproducibility Challenge 2019 https://rescience.github.io/read/#volume-5-2019. If you’re interested in organizing a challenge or editing a special issue, feel free to contact me. Nicolas Rougier, ReScience C editor-in-chief.

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Call for Papers: Special Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic May 22, 2019

May 22, 2019

Dear Colleagues, You are cordially invited to submit a manuscript to Special Entropy Issue "Information Theory in Computational Neuroscience" https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… Deadline for manuscript submissions: 31 January 2020 With best regards, Claudius Gros and Dimitrije Markovic Abstract ====== Brains empower living organisms with extraordinary information processing capabilities. Complex spatio-temporal dependencies present in their environments may be learned, long- and short-term memories of experiences and plans regarding the future. Importantly, information processing in the brain happens over multiple spatio-temporal scales, from single synapses and synaptic terminals to dendritic trees and neuronal bodies, all the way up to neuronal networks and large brain areas. Hence, it is not surprising that information theory has led to many exciting developments in computational neuroscience, providing tools essential for our modern understanding of the computational principles that govern the development, structure, physiology, and dynamics of the nervous system. In this Special Issue, we aim to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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Post-doctoral post in Madrid Brain Dynamics of addiction
by jose luis perez velazquez May 21, 2019

May 21, 2019

*Post-Doc position*: *Dynamics of brain activity in addiction and compulsive reward-seeking* Responsible for electrophysiological recordings in behaving animals (rats) using rodent models of reward-seeking and addiction. One year*, starting immediately* Location: Madrid-Spain Dedication: Full time Experience with in vivo electrophysiological recordings in freely behaving animals is required. It would be an asset if the incumbent has some experience with the Skinner box, but is not required (teaching will be provided). Data analysis will involve the scrutiny of brain dynamic patterns in the rodents’ brains during addictive behaviours, using MATLAB codes already available from the investigators. Experience with basic data analysis will be an advantage as well. Contact: Fivos Panetsos, Professor fivos(a)ucm.es Director, Neuro-computing & Neuro-robotics Research Group Complutense University of Madrid Director, Neural Plasticity Research Group Health Research Institute, San Carlos Clinical Hospital (IdISSC), Madrid

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ICTALS 2019 registration open
by Goodfellow, Marc May 21, 2019

May 21, 2019

Dear All, Registration is now open for ICTALS 2019 at the University of Exeter 2-5th September 2019. Please see: www.exeter.ac.uk/ictals2019/registration/<http://www.exeter.ac.uk/ictals2019/registration/> Early bird registration is open until 31 July 2019 at the following rates: Students £250 Faculty/ Clinician £400 Industry £500 Lived experience (non-scientist) £30 for the first 20 registrants. Spaces are limited, so we would encourage you to register as soon as possible. The International Conference for Technology and AnaLysis of Seizures, 2019 (ICTALS2019) will take place at the University of Exeter, September 2nd - 5th 2019. The goal of this conference is to bring together neurologists, neuroscientists, researchers from quantitative disciplines and people with lived experience of epilepsy in order to work as a community to advance our understanding of epilepsy and develop practical ways to improve diagnosis and treatment. This is the second ICTALS conference, which is an evolution of the previous International Workshop on Seizure Prediction (IWSP) series. The theme for this year's conference will be: "The Epilepsy Journey: from first seizure to treatment and beyond". We will emphasise how advances in our understanding of the dynamics of brain networks can be used to make a difference to people with epilepsy at all points of their journey: from elucidating the causes of the first seizure to diagnosing epilepsy, understanding how ictogenic networks give rise to recurrent seizures and how this insight can inform personalised treatment. To encourage this focus on translatable output of research we will seek to include all relevant communities. In addition to focussing on current scientific, clinical and technological advances, we will take steps to increase accessibility for people with lived experience of epilepsy. For further information see http://exeter.ac.uk/ictals2019 We look forward to seeing you in Exeter in September! Best wishes Marc Goodfellow, on behalf of the local organising committee.

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Places left for training courses before INCF's Neuroinformatics 2019
by Malin Sandström May 21, 2019

May 21, 2019

Dear all, there are still som places left for the (free) training courses we are arranging in Warsaw on August 31, the day before Neuroinformatics 2019. All courses are free to attend for registered participants. The TVB WS explains fundamental principles of full brain network modelling using the TVB open source neuroinformatics platform. Lectures & hands-on sessions allow participants to immediately apply concepts from the lectures to their simulations. http://bit.ly/2Hs9L7h The HBPBrainSim short course introduces participants to the Brain Simulation Platform (BSP). After the course participants will be able to use the BSP to access HPC systems to configure & run simulations and visualize & analyze simulation results. http://bit.ly/2Ht7AQN The course ‘Neuroscience data integration through use of digital brain atlases’, a combination of lectures & hands-on training, introduces participants to a workflow for spatial integration of morphological features in a 3D reference atlas. http://bit.ly/2HqnPOh See https://www.neuroinformatics2019.org/ for more information. Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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PhD position in computational neuroscience at the University of Amsterdam (deadline June 6)
by Jorge Mejias May 20, 2019

May 20, 2019

Dear all, A PhD position in computational neuroscience is available at the Cognitive and Systems Neuroscience Group at the Swammerdam Institute for Life Sciences, University of Amsterdam (the Netherlands). The main objective of the project is to investigate the neural mechanisms of multisensory perception and sensory predictions, within the context of a novel theoretical framework of perception and consciousness that is being developed in the Group. These neural mechanisms will be investigated using theoretical and computational approaches based on both biophysically detailed models of corticothalamic circuits and neural network models trained with deep learning strategies. The research is partially funded by the Human Brain Project and will benefit from collaborations with local experimental teams and with other European research groups. The project will be supervised by Jorge Mejias (leader of the Computational Neuroscience Team) and Cyriel Pennartz (head of the Cognitive and Systems Neuroscience Group). We are seeking a highly qualified and motivated candidate with a Master's degree in neuroscience (with strongly developed quantitative skills) or in a related field, including physics, mathematics, computer science, or biomedical engineering. The candidate is expected to have a solid mathematical background (calculus, differential equations, dynamical systems) and strong programming skills (MATLAB, Python). Knowledge in methods of computational neuroscience and deep learning is a plus. English is the official language of the lab, therefore good English communication skills are expected. We offer a full-time appointment for a maximum period of four years (18 months plus a further 30 months after a positive performance evaluation) and should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance to courses and (international) meetings. The gross monthly salary will range from €2,325 in the first year to €2,972 in the final year, according to the Dutch salary scale for PhD candidates. Additional benefits include a holiday allowance and an end-of-year bonus (8% and 8.3% of the gross annual salary, respectively) and generous vacation, pension and social security conditions in accordance with the Collective Labour Agreement of Dutch Universities. Candidates coming from abroad might also be eligible for highly attractive tax benefits. The lab is located in the state-of-the art facilities of the Science Park at the University of Amsterdam, with good communications with other academic facilities and research centers in the city. The University of Amsterdam is one of the top research universities in Europe, with a strong focus on the research area of brain and cognition. Amsterdam is one of the most vibrant cities in Europe, with a rich historical and cultural heritage that includes the UNESCO World Heritage city center and canals, dozens of world-class museums and restaurants, and an exciting nightlife. The city promotes a healthy lifestyle with plenty of outdoor life, parks and recreational areas, an excellent bicycle path network, and an expat-friendly environment. The deadline for applications is June 6th, 2019. Applications may only be submitted online by following the link below (where additional information is also provided): https://www.uva.nl/en/content/vacancies/2019/05/19-292-phd-candidate-in-com… Your application must include a CV (including contact details of two academic references) and a letter of motivation. Please combine these documents in one single attachment and also mention the months (not just years) in your CV when referring to your education and work experience. To enable us to process your application immediately, please quote vacancy number 19-292 and the position you are applying for. For informal inquiries, you may contact Dr. Jorge Mejias (j.f.mejias at uva.nl) of Prof. Cyriel Pennartz (C.M.A.Pennartz at uva.nl). Kind regards, Jorge F. Mejias, PhD Assistant Professor of Computational Neuroscience Cognitive and Systems Neuroscience Group Swammerdam Institute for Life Sciences Amsterdam, the Netherlands -- Jorge F. Mejias, PhD Assistant Professor Cognitive and Systems Neuroscience Swammerdam Institute for Life Sciences University of Amsterdam, 1098XH Amsterdam The Netherlands www.ugr.es/~jmejias

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Postdoc Position: Modeling Language in the Human Brain Using Artificial Neural Networks
by Christopher Honey May 19, 2019

May 19, 2019

MODELING LANGUAGE IN THE HUMAN BRAIN USING ARTIFICIAL NEURAL NETWORKS A joint postdoctoral position is available in the labs of Christopher Honey and Tal Linzen at Johns Hopkins University. ( https://www.honeylab.org and https://caplabjhu.org ) The goal of this project is to use state-of-the-art artificial neural networks to understand the mechanisms and architectures that enable the human brain to integrate linguistic information at the levels of syllables, words and sentences. For this purpose, the project lead will have access to high-fidelity intracranial recordings from the surface of the human brain, as people process sentences and narratives. In parallel, this project is expected to generate new computational models and analytic methods for natural language processing (NLP), informed and constrained by human data. Johns Hopkins is home to a large and vibrant community in neuroscience and computational linguistics, and the training environment will span the Departments of Cognitive Science, Psychological & Brain Sciences, and Computer Science. The postdoctoral researcher will be affiliated with the Center for Language and Speech Processing, one of the world’s largest centers for computational linguistics (https://www.clsp.jhu.edu/) For candidates who wish to collect new datasets, Hopkins provides a top-notch neuroimaging center, including 3T and 7T scanners; new TMS and EEG facilities housed in the PBS department; and access to human intracranial experiments via neurology collaborators in Baltimore and Toronto. The postdoctoral researcher will have access to a large number of GPUs for training neural networks and other computational models through the Maryland Advanced Research Computing Center. The position is available immediately, though start date is somewhat flexible. Applications will be reviewed on a rolling basis. The initial appointment is for one year, with the opportunity for renewal thereafter. We especially encourage applications from women and members of minorities that are underrepresented in science. *Qualifications*: Candidates should have (i) a PhD in a relevant field (e.g., linguistics, cognitive science, neuroscience, physics, psychology, mathematics, or computer science) by the start date; (ii) a publication record that includes computational modeling and empirical data analysis. The ideal candidate will have a combined background in computational linguistics, machine learning and neuroscience. *Application Instructions*: To apply, please email a cover letter (including a brief summary of previous research accomplishments and future plans), a current CV, and a relevant publication to neural.language.modeling.jhu(a)gmail.com. In the CV or cover letter, please include contact information for three references. For any questions, feel free to email Chris Honey (chris.honey(a)jhu.edu) and Tal Linzen ( tal.linzen(a)jhu.edu)

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Postdoc position on causal learning in France
by Mehdi Khamassi May 17, 2019

May 17, 2019

*Post-Doc position in Computational Neuroscience on causal learning * *Institut des Systèmes Intelligents et de Robotique, Paris (UMR7222)* *Groupe d'Analyse et de Théorie Economique, Lyon (UMR 5824)* *General Information* Workplace: LYON/PARIS Employer: CNRS Type of contract: FTC Scientist Contract Period: 18 or 24 months Expected date of employment: 2 September 2019 Proportion of work: Full time Remuneration: between 2643 and 3766 Euros gross monthly salary depending on the candidate’s experience Desired level of education: PhD Experience required: indifferent *Missions*: The objective of our project is to investigate the neural and computational bases of causal learning. In particular, we will focus on causal learning in the context of goal-directed instrumental behaviors, which rely on learning rules determined by the contingency//between actions and outcomes. In order to unravel the neural and computational bases of action-outcome causal learning, we need to lift two key barriers. The first barrier is the lack of neurocomputational models that formalise the above-mentioned theoretical framework to make precise predictions about the underlying neural computations. The second barrier is the lack of clear understanding of the brain network dynamics supporting action-outcome causal learning. *Activities: * The selected candidate will contribute to lift the first barrier, by developing neurocomputational models that: i) formalise internal representations and computations predicted by causal learning theories (/rational /and /Bayesian /frameworks); ii) make predictions about the dynamics of neural activity (i.e., neurobiological plausibility) and fit single-participant behavioral patterns (i.e., computational flexibility). Among the possible learning models, two seem to provide the adequate theoretical and computational framework: Active Inference and Reinforcement learning. The former is a Bayesian approach postulating that human behaviour can be reduced to the minimization of variational free energy, which is an upper bound on Shannon surprise (Friston, 2010). The latter provides a complementary view and formalizes human behavior as a process that aims at maximizing cumulative (extrinsic or intrinsic) reward (Sutton & Barto, 1998). The selected candidate will help designing a new experimental protocol to test the specific predictions of these computational frameworks, and compare them with Bayesian model comparison methods. The experiment will involve human subjects and be realized with the facilities of the GATE (Experimental Economics) laboratory in Lyon, France. Then we will derive a computational model which best accounts for human behavior while they learn causalities, and make model-driven predictions for a new task involving brain imaging (fMRI, MEG, SEEG) performed in humans by partners of the project. *Skills*: Applicants should be highly motivated, have a PhD in computational neuroscience, physics, computer science, or related fields, with a track record of publications. Confirmed experience in computational modelling and programming skills are mandatory. Preference will be given to applicants with previous experience in causal learning models in neurosciences. *Work context*: We have obtained funding from the French Agence Nationale de la Recherche for 4 years project aiming at lifting the previously mentioned two barriers. The project involves both theoreticians (Mateus Joffily in GATE, Lyon, France; Mehdi Khamassi in ISIR, Paris, France; David Lagnado in UCL, London, UK) and experimentalists (Andrea Brovelli in INT, Marseille, France; Julien Bastin in GIN, Grenoble, France). This 2 years post-doctoral research position is available to work at the interface between two laboratories: the GATE in Lyon and the ISIR in Paris. *Additional Information*: The position is available immediately and applications will be reviewed until the position is filled. The selected candidate will be hired for a period of 18 to 24 months with a salary corresponding to the level of research scientist according to the standards of the National Center of Scientific research (CNRS). Salary will include social security, health and retirement benefits. Applications should include: 1) a cover letter briefly describing experience, motivation and skills adapted for the position, as well as research interests; 2) complete CV and publication list; and 3) two letters of reference that should be sent directly to us by the evaluators. Notification of interest should be sent to both Mehdi Khamasi (mehdi.khamassi(a)upmc.fr <mailto:mehdi.khamassi@upmc.fr>) and Mateus Joffily (joffily(a)gate.cnrs.fr <mailto:joffily@gate.cnrs.fr>). Applications shall be done through the following website: https://emploi.cnrs.fr/Offres/CDD/UMR5824-TAIDAO-009/Default.aspx?lang=EN. -- Mehdi Khamassi, PhD, HDR Permanent research scientist (CRCN) at the Centre National de la Recherche Scientifique, Institute of Intelligent Systems and Robotics Sorbonne Université, Paris, France http://www.isir.upmc.fr Director of Studies for the Cogmaster program Ecole Normale Supérieure, EHESS, Univ. Paris Descartes http://sapience.dec.ens.fr/cogmaster/www/ Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://www.iccs.gr/en/?noredirect=en_US Visiting Researcher at the Department of Experimental Psychology University of Oxford, UK https://www.psy.ox.ac.uk Main contact details: Mehdi Khamassi Sorbonne Université, Campus Pierre et Marie Curie - ISIR - BC 173 4 place Jussieu, 75005 Paris, France tel: + 33 1 44 27 28 85 cell: +33 6 50 76 44 92 email: mehdi.khamassi(a)upmc.fr http://people.isir.upmc.fr/khamassi

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Open PhD position, application deadline May 31st
by Jochem Rieger May 16, 2019

May 16, 2019

Dear list, The Applied Neurocognitive Psychology Lab at the University Oldenburg in collaboration with the Division of Energy at OFFIS offer a PhD position in the project: "Neurophysiology and modelling of expert cognition and decision making¨ The projects goal is to develop a model-based understanding of neuronal processing differences between expert and novice controllers of safety critical systems (e.g. power grids) that allows human performance prediction. Methodologically, the project combines brain activation measurements in fNIRS and/or MRI during realistic simulations of control tasks with machine learning for data driven human modeling. The position is available *from July 16th, 2019* until July 15th, 2022 (German TV-L E13, 65%). The full job announcement can be found here: https://uol.de/stellen/?stelle=66622 You can contact me for further questions regarding the position. The *application deadline is May 31st, 2019*. Please send your application including a cover letter, CV, a list of potential referees, links to recent publications, and copies of certificates for academic grades to Prof. Rieger as an email attachment (preferred) in one pdf file to jochem.rieger(a)uol.de <mailto:jochem.rieger@uol.de>. Regards, Jochem -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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Workshop: Spike Sorting and Reproducibility for Next Generation Electrophysiology
by Matthias Hennig May 16, 2019

May 16, 2019

Spike Sorting and Reproducibility for Next Generation Electrophysiology 24. and 25. June 2019 Informatics Forum, University of Edinburgh Registration deadline: 31. May 2019 The analysis of extracellular recordings is a computationally and conceptually complex task with multiple sources of error and bias that can affect subsequent data interpretation. The advent of high-density extracellular micro-electrode arrays (MEAs) now allows recording from hundreds to thousands of channels that poses significant challenges. Additionally, current analysis workflows lack standardisation, and few attempts have been made to make perform systematic comparisons between different solutions and approaches. This workshop will bring together electrophysiologists and developers of tools for the analysis of extracellular recordings, with the following goals: - to showcase new approaches to analyse large scale recordings - to discuss approaches for validation and quality control - to discuss how elements of reproducibility and provenance can be added to typical analysis workflows Invited Speakers: Alessio Buccino, Oslo David Jaeckel, MaxWell Espen Hagen, Oslo Felix Franke, ETHZ Samuel Garcia, CNRS James Jun, Flatiron Institute Jeremy Magland, Flatiron Institute André Marques Smith, UCL Olivier Marre, Institut de la vision Hernan G Rey, Leicester Evelyne Sernagor, Newcastle Olivier Winter, Champalimaud Pierre Yger, Institut de la vision Registration is free (workshop dinner cost is £30). More info: http://workshops.inf.ed.ac.uk/ssnge/ Organisers: Matthias Hennig, Edinburgh Cole Hurwitz, Edinburgh Jeremy Magland, Flatiron Alessio Buccino, Oslo -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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PhD scholarship within Data Science and Computational Neuroscience at the Norwegian University of Life Sciences (NMBU)
by Kristin Tøndel May 16, 2019

May 16, 2019

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position related to Data Science and Computational Neuroscience: https://www.jobbnorge.no/en/available-jobs/job/168816/phd-scholarship-withi… Please share with your network. Best regards, Kristin Tøndel

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[meetings] CfP: Workshop at ICDL-Epirob 2019: Mapping the self
by Matej Hoffmann May 14, 2019

May 14, 2019

** * ******************************************* ** * ICDL-Epirob 2019 Workshop * * Mapping the self: * * infants, robots, and modeling * ******************************************* Key Facts ========= ICDL-Epirob 2019 Workshop, Monday, August 19, 2019 Location: Oslo, Norway at Ingeniørenes hus møtesenter (Engineer’s House Conference Centre) Submission deadline: June 10, 2019 Notification: June 30, 2019 Workshop URL:<https://urldefense.proofpoint.com/v2/url?u=http-3A__dyalab.mines.edu_2019_r…>https://sites.google.com/site/matejhof/events/mapping-the-self Main conference URL: https://icdl-epirob2019.org/ Submission link: https://easychair.org/conferences/?conf=irm19 Organizers ========== * Daniela Corbetta <https://psychology.utk.edu/faculty/corbetta.php>(Univ of Tennessee, USA) * Matej Hoffmann <https://sites.google.com/site/matejhof/home>(Prague, Czech Republic) * Jeffrey Lockman <http://www2.tulane.edu/sse/psyc/faculty-and-staff/faculty/lockman.cfm>(New Orleans, USA) * Verena Hafner <https://adapt.informatik.hu-berlin.de/vvh/>(Berlin, Germany) Description =========== Our bodies constitute the interface between our mind and the surrounding world. To interact effectively with the world, babies and robots need to discover the different parts of their bodies, and their physical and mechanical properties. They need to know where their limbs are in space, how far they can extend, how they work, and what range of actions they can achieve with them. Such body representations are essential for developing a sense of the self and for defining the limits of the peripersonal space. The aim of this workshop is to bring together researchers in the fields of developmental psychology, developmental robotics, embodied cognition, body mapping, and computational modeling to create a productive, collaborative, and multidisciplinary forum from which different facets of these fundamental processes linked to body mapping and mapping the self will be explored. The workshop will be organized around three general themes with specific speakers and experts in each area: 1. Body mapping: This theme will group developmental and learning studies in infants, adults, and robots on self-touch, self-exploration of the body, self-localization, and haptic perception to understand how the mapping of the self forms. 2. Defining the peripersonal space: This theme will examine the range and conditions through which our peripersonal space develops, is being perceived, and being modulated through interactions with objects, people, and events in our daily surroundings. This theme will contrast infant, children, and adult studies as well as computational models. 3. Sense of self and body ownership: This third theme will explore how our brain builds a map and sense of ownership of objects as extensions of our own body. Studies and models on tool use learning, prostheses mastery, including studies on the rubber hand illusion will provide a framework to understand how perception and action of inanimate objects can be experienced as functional extensions of our body and self. Confirmed Invited Speakers ======================= Daniela Corbetta (Univ. Tennessee, USA) Jeffrey J. Lockman (Tulane Univ., USA) Sergiu Popescu (Paris Descartes University, France) Matej Hoffmann (Czech Tech. Univ, Czech Rep) Gianluca Baldassarre / Vieri Santucci (CNR, Italy) Jean-Paul Noel (NYU, USA) Rory Bufacchi (Univ. College London, UK) Alban Laflaquiere (AI Lab, Softbank Robotics, France) Benjamin Kuipers (Univ. of Michigan, USA) Tamar Makin (Univ. College London, UK) Dorothy Cowie (Durham, UK) Verena Hafner (Humboldt-Univ., Germany) Target audience ============= Cognitive psychologists, developmental psychologists, developmental roboticists, embodied cognition, cognitive neuroscience, researchers on the self, computational modeling, machine learning Format of contributions ================== We invite participants to submit a 500-word abstract for a single-blind review by the workshop organizers. Selected abstracts will be presented as Posters -- few selected possibly as short talks. The contributions should present findings that are related to any of the three themes of the workshop (body mapping, peripersonal space, and sense of self). This is an especially great opportunity for young researchers who wish to participate in this workshop, share their findings, and interact with experts in this multidisciplinary and emerging research field. The 500-word submissions should be in Word or LaTeX with a title no longer than 120 characters. Please use the following formatting linked here <https://www.overleaf.com/latex/templates/simple-single-page-abstract-templa…>. Authors’ names and affiliations should be on the abstract. Submission link: https://easychair.org/conferences/?conf=irm19 On behalf of the organizers, Matej Hoffmann * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague https://sites.google.com/site/matejhof/home +420 224 357 387

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Postdoc in Vision at UPenn
by Burge, Johannes May 14, 2019

May 14, 2019

An NIH funded post-doc position is available at the University of Pennsylvania w Johannes Burge. A postdoctoral position is available in Johannes Burge’s lab at the University of Pennsylvania to work on the psychophysics and the computations underlying depth and motion perception. We use both artificial and natural stimuli to probe the function of the human visual system, with a focus on understanding how the pattern of light falling on the back of the eye is used to recover 3D structure and movement in the environment. We have a variety of high-end displays in the lab, the capability for eye tracking and pupillometry, high-fidelity databases of natural signals, and custom software tools for statistical learning. For more information on specific projects please see the lab website: http://burgelab.psych.upenn.edu/contact.html <https://t.co/hSN0qdRoYJ> . Applicants should have a background in at least a subset of psychophysics, eye-tracking, visual optics, computational neuroscience, and will have the opportunity to gain training in any of these areas. The initial appointment is for one year, with the potential for renewal. The start date is flexible but the position is available immediately. The lab is part of the Computational Neuroscience Initiative at UPenn, a multi-disciplinary group of top researchers working on problems in sensation, perception, and cognition. Interested applicants should send a CV, a statement of interest, and at least two references to jburge(a)sas.upenn.edu<mailto:jburge@sas.upenn.edu> I will be available to meet at VSS or to schedule interviews on Skype. Johannes ======================== Johannes Burge, PhD Assistant Professor Department of Psychology Neuroscience Graduate Group University of Pennsylvania http://burgelab.psych.upenn.edu jburge(a)sas.upenn.edu (215) 573 6528

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INCF Software Carpentry course at SfN, October 17-18
by Malin Sandström May 14, 2019

May 14, 2019

Dear all, INCF will organize a Software Carpentry course ( https://incf.github.io/2019-10-17-sfn/) at SfN in Chicago, on October 17-18. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information on what will be taught and why, please see the paper “Best Practices for Scientific Computing”; https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.10017… Apply via the form linked on this page, latest *May 31*: https://www.incf.org/node/305 Best regards, Malin Sandström -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Three Positions in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE)
by Verhoef, J.P. (Julia) May 14, 2019

May 14, 2019

Three Positions in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.06.19 Application deadline: 28 May 2019 [Logo NWO] [Logo Language in Interaction] Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims to cross the boundaries of various disciplines to unravel the neurocognitive mechanisms of language and its interaction with other cognitive systems. This specific project aims to advance our understanding of the mechanisms of fast, flexible linguistic inference by leveraging recent major advances in our understanding of the representations and computations necessary for sequential model-based action planning. Currently, our consortium advertises 2 Postdoc positions and 1 PhD position. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organisation for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: Inference for language and action planning: Common computations? All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. More information on: www.languageininteraction.nl/BQ5-3p.html<https://www.languageininteraction.nl/BQ5-3p.html> General requirements for all positions are: * a degree in linguistics, psychology, cognitive neuroscience, computer science or a related field; * affinity with quantitative analyses; * strong motivation; * excellent proficiency in written and spoken English. What we have to offer * employment: 1.0 FTE; * terms of employment depend on the position applied for; * you will be appointed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University; * Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance; * you will be able to make use of our Dual Career Service<http://www.ru.nl/dualcareerservice> where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Are you interested in our excellent employment conditions<http://www.ru.nl/english/arbeidsvoorwaarden?kn>? Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium<https://www.languageininteraction.nl/home.html> Further information on: the different positions, including terms of employment<https://www.languageininteraction.nl/BQ5-3p.html> Further information on: our five Big Questions<https://www.languageininteraction.nl/Bigquestions.html> For more information about this vacancy, please contact: additional information can be obtained from the contacts for the different positions. Are you interested? You should upload your application (attn. of Prof. dr. R. Cools) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter quoting at the top the number of the position you apply for * your curriculum vitae, including a list of publications and the names of at least two people who can provide references Please apply before 28 May 2019, 23:59 Amsterdam Time Zone. [Apply]<https://www.ru.nl/applyonline?recid=601989&tk=uk> No commercial propositions please. Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) Room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands |T: +31 (0)24 3666272 E: J.Verhoef(a)donders.ru.nl|<mailto:J.Verhoef@donders.ru.nl|>Office hours: 9-14 hr on Mon - Fri Follow Language in Interaction on Twitter<https://twitter.com/in_interaction> Like Language in Interaction on Facebook<https://www.facebook.com/languageininteraction/>

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Bernstein Conference 2019 in Berlin: Call for Abstracts
by Bernstein Communication May 13, 2019

May 13, 2019

BERNSTEIN CONFERENCE 2019 in Berlin - Abstract submission and registration now open! Early bird registration deadline: July 09, 2019 Please register here: https://www.intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=… <https://www.intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=…> The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference includes two poster sessions, which are an important part of the conference. For more information on the conference, please visit: www.bernstein-conference.de<http://www.bernstein-conference.de> ************************************************************** Satellite Workshops September 17-18, 2019 Main Conference September 18-20, 2019 PhD Symposium September 20-21, 2019 ************************************************************** ABSTRACT SUBMISSION We are inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). For abstract submission please visit: bernstein-conference.de/2019/abstracts<https://www.bernstein-network.de/en/bernstein-conference/2019/abstracts?set…> Submission of an abstract does not replace conference registration.<https://www.intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=…> ABSTRACT SUBMISSION DEADLINES: Abstracts aimed as contributed talks and posters: June 13, 2019 Abstracts aimed as posters only: July 03, 2019 SELECTION OF CONTRIBUTED TALKS: The contributed talks will be selected in a (double-)blind review process. Please design your abstract accordingly and ensure that no author or affiliation identifiers are included. Cite all relevant prior work (including your own) only in the passive voice or in the third person (for example, “It has been shown that… [1]” or "They have shown that... [1]”), do not use the words “my” or “our”, and do not include references to funding sources. Abstracts that have not been properly anonymized cannot be considered for contributed talks. TRAVEL GRANTS: To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 €. Application deadline for travel grants: June 21, 2019 Please find further information under bernstein-conference.de/2019/apply-for-a-travel-grant<https://www.bernstein-network.de/en/bernstein-conference/2019/apply-for-a-t…> ACCOMMODATION AND HOTEL RESERVATION: We have allcocated a certain number of rooms for you in selected hotels and we are cooperating with VisitBerlin, Berlin's tourist platform through which we are able to offer a customized hotel room booking platform. Conference participants can choose between different hotel categories. We strongly recommend early room booking! Please find further information under bernstein-conference.de/2019/hotels<https://www.bernstein-network.de/en/bernstein-conference/2019/hotels?set_la…> POSTDOC MEETING, Sept 17, 7:00 pm: This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. VENUE SATELLITE WORKSHOPS and POSTDOC MEETING Marchstrasse 23 10587 Berlin (10 min. walk from the Technische Universität Berlin (TU Berlin) Main Building) VENUE MAIN CONFERENCE: Technische Universität Berlin (TU Berlin) Main Building Strasse des 17. Juni 135 10623 Berlin VENUE PHD SYMPOSIUM: Bernstein Center Berlin Campus Nord Philippstrasse 13 House 6 10115 Berlin We are looking forward to welcoming you in Berlin! Conference Chair and Host: Henning Sprekeler Program Chair: Susanne Schreiber Program Vice Chair: Elad Schneidman Workshop Chair: Tatjana Tchumatchenko Workshop Vice Chair: Tim Vogels Technical Organization: Bernstein Coordination Site (BCOS) ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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JOBS: Academic positions at UCL in AI /stats/machine learning for neuroimaging
by Andre Altmann May 12, 2019

May 12, 2019

Forwarded on behalf of Prof. Alexander: Dear all, Please see links below for two new academic positions in neuroimaging, image analysis, and applications in neurology. Both are joint posts between UCL’s Centre for Medical Image Computing (within Computer Science and Medical Physics) and UCL's Institute of Neurology and National Hospital for Neurology and Neurosurgery. The roles have a technical focus, but are designed to enable cutting-edge technical development in neuroimage analysis and its rapid translation to application in clinical research and clinical practice. Queries welcome. Deadline 22nd May. Interviews 27th June. All the best. Danny post 1: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTc4NTM5NCZ2dF90… post 2: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTc4NTQwMiZ2dF90… ——————————————————————— Prof. Daniel Alexander Director of the Centre for Medical Image Computing Department of Computer Science UCL Gower Street London WC1E 6BT Tel: 020 7679 2419 ———————————————————————

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Information theory workshop at CNS*2019 -- call for contributed talks
by Lubomir Kostal May 12, 2019

May 12, 2019

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at CNS*2019, Barcelona, Spain. The workshop will be held over the final two days of the main conference, July 16 and 17. Our confirmed invited speakers include the following (schedule available soon): * Julijana Gjorgjieva, Max Planck Institute for Brain Research, Frankfurt * Takyua Isomura, RIKEN Center for Brain Science * Renaud Jolivet, University of Geneva * Lubomir Kostal, Academy of Sciences of the Czech Republic * David Kappel, Georg-August University, Goettingen * Wiktor Mlynarski, Institute of Science and Technology Austria, Vienna * Adria Tauste, BarcelonaBeta Brain Research Center * Raoul Vicente, Institute of Computer Science, University of Tartu * Michael Wibral, Georg-August University, Goettingen Also, we would like to call for contributions of talks (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Lubomir Kostal (kostal(a)biomed.cas.cz) by Friday May 31, 2019. Earlier submissions will be prioritised. Please see our website (http://www.biomed.cas.cz/~kostal/CNS2019-ITW/) for more details. We hope you will join us there! Lubomir Kostal Joseph Lizier Viola Priesemann Justin Dauwels Taro Toyoizumi Michael Wibral Adria Tauste -------------------------------------------- Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of CAS. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of CAS.

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!), September 4-10, 2019 [Second announcement]
by Alexandre Hyafil May 10, 2019

May 10, 2019

The new Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (UPF/CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (UPF/CRM, Barcelona) Kerstin Preuschoff (Geneva) Alfonso Renart (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) Dates and location: September 4-10, downtown Barcelona, Spain Applications are open until June 3rd. Please see the course website for further details: www.bambschool.org. The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund <https://www.psychologicalscience.org/members/awards-and-honors/estes-fund>, from the Sociedad Española de Neurociencia <http://www.senc.es/> and from the Centre de Recerca Matemática <http://www.crm.cat>.

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Postdoctoral position in computational neuroscience and artificial intelligence
by Maxim Bazhenov May 10, 2019

May 10, 2019

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study memory and learning and to develop neuroscience inspired algorithms capable of continual learning, generalization of knowledge and adaptation to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton. 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 anatomically realistic neuronal network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation in sleep and awake based on experimental data. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning. 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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Neural data scientist position at the Flatiron Institute
by Eftychios Pnevmatikakis May 9, 2019

May 9, 2019

Apologies for cross-posting: The Center for Computational Mathematics at the Flatiron Institute in New York City is looking for a full time data scientist to work on neuroscience related projects. The main focus of this position will be on the development and support of CaImAn <https://github.com/flatironinstitute/caiman>, an open source software package for standardized and reproducible analysis of fluorescence microscopy (calcium imaging) data. Basic duties: - Researching novel data analysis algorithms for large scale fluorescence microscopy data. - Maintenance of existing codebase and user support. Qualifications: - BA/BS degree (MA or PhD preferred) in Engineering, Computer Science, Mathematics, Neuroscience or related technical field. - Programming experience in Python. - Background in either neural data analysis, machine learning, statistics, image processing, or computer vision is preferred. Informal inquiries should be sent to epnevmatikakis(a)flatironinstitute.org For more information and to apply please follow this link <https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareer…> .

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Professorship in Artificial Intelligence
by Steuber, Volker May 8, 2019

May 8, 2019

Professor of Artificial Intelligence University of Hertfordshire, UK School of Computer Science, College Lane Campus, Hatfield Salary £58,293 to £64,397 pa dependent on skills and experience FTE: Full time position working 37 hours per week (1.0FTE) Duration of Contract: Permanent position Closing date: 3 September 2018 Applications are invited for an exceptionally well qualified Professor of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. The School hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. We encourage applications from researchers across a wide spectrum of AI, and particularly encourage applications from researchers working on emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda, and will actively contribute to increase research impact of the School, in the enthusiastic, welcoming and collegiate environment of the school. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the relevant Artificial Intelligence community and management and leadership ability. The professor will have opportunity to contribute actively to interdisciplinary research projects at the school and university level. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016194?. Informal enquiries may be addressed to Dr Volker Steuber (Associate Dean Research, 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 by email will not be accepted.

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ML staff scientist position at NIMH/NIH
by Ryan Philips May 8, 2019

May 8, 2019

The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for a Staff Scientist position in the Intramural Research Program (IRP), Section on Neurobiology of Fear & Anxiety. This section examines neural systems models of emotion/cognition interactions. This is done in two ways: one that focuses on anxiety in health and disease, and the other that uses a developmental perspective using large datasets. Four types of data are exploited, clinical/behavioral assessment, psychophysiology, fMRI (particularly 7T high-resolution scanner) and MEG. The candidate must have a doctoral degree (PhD) in computational neuroscience, or computer science/engineering and at least 5 years of experience post Ph.D. analyzing large datasets, modeling complex neural systems, using advanced machine learning algorithms. Experience with technical computing in MATLAB, R, C++ and a strong mathematical skill set is required. Knowledge of multi threaded and paralell computing environments is desirable. An interest in neuroscience or prior experience in neuroscience related fields is a plus. The staff scientist is expected to be a key member of the Section on Neurobiology of Fear and Anxiety, contributing to analytical methodology, design of new projects. Salary will be commensurate with education and experience. Applicants should send curriculum vitae and two letters of recommendation to Monique Ernst, MD, PhD, 301-675-4525, ernstm(a)mail.nih.gov. Applications will be accepted beginning April 1st. The position will be open until filled. HHS and NIH are Equal Opportunity Employers. Applications from women, minorities and persons with disabilities are strongly encouraged.

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