- Comp-neuro - lists.cnsorg.org

Computational Neuroscience opportunity -- startup tackling brain disorders with ML
by Nate Boyd July 26, 2019

July 26, 2019

System1 (system1.bio) is a drug discovery company for neurological and psychiatric disorders, combining applied research in 3D cell culture biology (cerebral organoids) and machine learning. We are looking for a senior scientist to lead development of our experimental neuroscience and machine learning platform. Help us create a unified understanding of neural pathways and drug interactions from calcium imaging, electrophysiology, and other data sets. Steer our research, coordinate efforts across biology and computation, and build our neuroscience team as we grow. This position reports to the CEO. Founded by repeat entrepreneurs and researchers from respected labs, System1 is assembling a multidisciplinary team with the goal of increasing understanding of how our neural circuitry works, how it fails, and how to heal it. We're located in San Francisco and have raised $30M of venture funding to date. More about us: https://docs.google.com/document/d/1rAW8riYpupEoynWLM7quNFFCrL_FTkDdJJleoS9… Organoid technology review: http://dev.biologists.org/content/144/6/938 Contact: nate(a)plusplustalent.com Warm regards, Nate Boyd linkedin.com/in/nateboyd

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Open postdoctoral researcher position at Stanford
by Aaron Milstein July 25, 2019

July 25, 2019

A postdoctoral research position is available in the lab of Dr. Ivan Soltesz in the Dept. of Neurosurgery, Stanford University School of Medicine, also affiliated with the Wu Tsai Neurosciences Institute at Stanford. The position is fully funded by NIMH through an NSF-NIH Collaborative Research in Computational Neuroscience research grant awarded to Stanford Instructor Dr. Aaron Milstein. The project is an international collaboration with Dr. Marlene Bartos at the University of Freiburg, Germany. The postdoctoral researcher will be co-mentored by Drs. Soltesz and Milstein. We are seeking a talented scientist to use modern computational modeling and data analysis methods to understand the roles of specific inhibitory and excitatory cell types found in hippocampal microcircuits in controlling spatial learning and memory. In particular, we are interested in nonlinear signal integration and associative synaptic plasticity mechanisms in the dendrites of granule cells in the hippocampal dentate gyrus, and their regulation by a unique class of excitatory interneurons implicated in epilepsy, the dentate mossy cells. This position represents a unique opportunity be co-mentored by multiple investigators at the forefront of the field, and includes funded travel to interact with experimental collaborators and to attend research conferences in the U.S. and Europe. We urge interested applicants to read the following papers describing our recent work, and to include in their cover letter any insighful comments and questions that they may have: http://doi.org/10.1126/science.aan3846 http://doi.org/10.1126/science.aan4074 http://doi.org/10.1038/s41586-018-0191-2 Required Qualifications: Ph.D. in neuroscience, computational neuroscience, bioengineering, or computer science Prior experience in modeling biological neural circuit function and/or plasticity in health and/or disease Required Application Materials: C.V. Contact information for 2 professional references A brief personal statement describing your perspective on biological neural circuit function and/or plasticity, including insightful comments and questions pertaining to recent publications by Drs. Aaron Milstein, Ivan Soltesz, Marlene Bartos and colleagues Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Apply here: https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-p…

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The Virtual Brain Node#9 Workshop, August 31 2019, Warsaw
by Julie Courtiol July 25, 2019

July 25, 2019

*TheVirtualBrain <https://www.thevirtualbrain.org/>* team is organising its *Node 9 Workshop on August 31, in Warsaw, Poland*! Please consider attending the workshop and sharing the information to your group in case this would be useful for them! For more infos, click here <https://www.thevirtualbrain.org/tvb/zwei/newswire-event-single/253901-works…> Hope to see you there! Best regards, Julie Courtiol Research Fellow Charité Universitätsmedizin Berlin ---------------------------------------- The workshop is dedicated to a theoretical and practical *understanding of large-scale brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB)*. This simulation environment enables the biologically realistic modeling of whole-brain network dynamics across different brain scales, using personalized structural connectome-based approach. Configurable brain network models generate macroscopic neuroimaging signals including functional MRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. 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 (generation, organization, storage, integration and sharing). The workshop is an official training event of the *NeuroInformatics 2019 <https://www.neuroinformatics2019.org/>* that will be held on September 1-2, also in Warsaw. *:: Workshop Format * • Lectures • Hands-on tutorials *:: Workshop Program Overview* • Architecture of TVB • Theoretical background of large-scale brain network modeling • Interacting with TVB using GUI and/or CLI • Personalization pipeline • Modeling resting-state networks, brain disorder, stimulation, mouse brain activity, etc. *Please make sure to register early as we only offer limited seats to ensure there are enough tutors for you.* *REGISTRATION CLOSES JULY 31st, 2019* *IMPORTANT TO NOTE* **Anyone is welcome to register to TVB Node #9!** You DO NOT need to be registered for NeuroInformatics 2019 in order to register for this workshop. Registration for TVB Node #9 workshop is separated from registration to NeuroInformatics 2019. *REGISTER HERE <https://en.xing-events.com/tvb-node9>*

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open faculty and fellow positions at CSHL
by Engel, Tatiana July 25, 2019

July 25, 2019

Dear colleagues, I would like to bring to your attention the open Fellow and Faculty positions at the Cold Spring Harbor Laboratory. The Fellow position is an opportunity for early independence for candidates who recently finished or are about to finish their PhD, it provides resources for building a small research group and a possibility of promotion to the faculty. Both positions include computational/theoretical neuroscience. Please do not hesitate to contact me if you have any questions about the positions or how to apply. 1) Faculty: https://www.cshl.edu/about-us/careers/faculty-positions/ 2) Fellow: https://www.cshl.edu/research/fellows-programs-at-cshl/cshl-fellows-program… Sincerely, Tatiana -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

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Postdoctoral Position in Pain and Affect
by Atlas, Lauren (NIH/NCCIH) [E] July 24, 2019

July 24, 2019

Our lab, the Section on Affective Neuroscience and Pain (ANP Lab), is recruiting one to two postdoctoral researchers with expertise in computational modeling, fMRI, and/or affective science to lead new projects on the psychological modulation of pain and emotional experience using high field imaging (7-Tesla MRI). Our lab is part of NIH's intramural research program, and is affiliated with the intramural programs of NCCIH, NIMH, and NIDA. For more information on postdoctoral positions within NIH, see https://www.training.nih.gov/programs Research in the ANP Lab focuses on the mechanisms by which expectations, learning, and other cognitive and affective factors influence pain, emotion, and clinical outcomes. We combine approaches from experimental psychology, neuroimaging, psychophysiology, and computational modeling to investigate pain and emotional experience in healthy individuals as well as individuals with chronic pain and/or affective disorders. We are particularly interested in the intersection of appetitive and aversive learning, how psychosocial factors influence pain and clinical outcomes, and questions motivated by pain’s central role in the opioid crisis. Postdoctoral researchers are expected to develop their own projects, with guidance, and to collaborate with other researchers in the lab. For more information about our research, see: https://nccih.nih.gov/research/intramural/atlas-lab We are looking for someone to spearhead new projects using high field imaging (7T-FMRI) to examine pain and perception across domains. The candidate should have a strong background in psychology and neuroscience and must have received a Ph.D. in a relevant field by the time of appointment. Candidates with successful publications in the fields of pain, emotion, and/or computational modeling are encouraged to apply. Postdoctoral positions require experience with 1) design of behavioral and fMRI experiments and 2) analysis of fMRI data using statistical parametric mapping packages (SPM, AFNI, etc.). Programming skills in MATLAB, C, and/or Python are highly desirable. These requirements will be flexible for candidates with clinical experience in pain populations. Appointments and salary are commensurate with research experience and accomplishments. The candidate will be supported with the excellent intramural NIH fellowship in a stimulating and interactive research environment at NIH. NIH has exceptional multidisciplinary research facilities including structural and functional MRI, MEG, PET, and TMS. Our lab is fully funded with dedicated weekly scan time, a full-time data analyst, and the opportunity to work alongside some of the world’s foremost fMRI experts. Training in advanced imaging and other techniques is available, as are courses in grant writing and career development. How To Apply Applicants should submit a CV, a brief description of research interests and career goals, and the names of three references to: lauren.atlas(a)nih.gov(Investigator/Chief, Section on Affective Neuroscience and Pain, NCCIH/NIMH/NIDA, NIH). Applications will be accepted until the position is filled. The Department of Health and Human Services and NIH are equal opportunity employers committed to equity, diversity and inclusion.

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Dual Award PhD (UH/WSU) in Neuromorphic olfaction - deadline and scope extended
by Michael Schmuker July 23, 2019

July 23, 2019

Now open for all applicants! An exceptional opportunity for a dual award PhD in Neuromorphic olfaction is open 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 UH and WSU. 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 ideal candidate has an exceptional interest in at least one of neuromorphic computing, event-based data science, chemical sensing. The position comes with a bursary of £15,009 per year. Airfare to and from WSU in Australia is covered, too. There is no restriction on the candidate’s current country of residence. Interested? Please get in touch informally with Dr. Michael Schmuker <mailto:m.schmuker@biomachinelearning.net> by email as soon as possible. Don’t delay! Shortlisting will begin on 29th July 2019 (extended deadline). 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 <https://biomachinelearning.net/>

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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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