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Faculty and senior postdoc positions at University of Tokyo
by Mingbo Cai March 5, 2020

March 5, 2020

How does human intelligence arise? Can we create artificial intelligence to extend or complement human intelligence? The International Research Center for Neurointelligence (IRCN) at The University of Tokyo was recently launched to solve these challenges under the World Premier International (WPI) Research Initiative of Japan. International Research Center for Neurointelligence, The University of Tokyo, Japan, has now open positions for highly motivated Senior Postdoctoral Research Fellows and Open-Rank Faculty (Assistant, Associate, and Full Professor). You will have access to our world-class technologies and facilities, extensive global collaboration networks, and vibrant international environment. In addition to independent research, successful candidates will endeavor to bridge disciplines as key computation members in our highly collaborative Team Science ecosystem. Current research themes include attention, prediction, intrinsic activity, social intelligence, autism, psychosis risk, multi-scale imaging, and critical period mechanisms. Senior postdoctoral fellows will have scientific independence and a career path to positions in industry and academia. We strongly encourage applications from international and female candidates to further enhance our diverse environment. The official language of IRCN is English and bilingual support is provided for life in cosmopolitan Tokyo. https://ircn.jp/en/careers/20200225-projectprofessor Mingbo Cai International Research Center for Neurointelligence University of Tokyo

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Two Post-Docs position @University of Padova on "Personalized whole brain models for neuroscience: inference and validation"
by Samir Suweis March 4, 2020

March 4, 2020

TWO OPENINGS FOR POST-DOC POSITIONS Two post-doc calls have been opened (see details below) in the context the following project funded by the Department of Information Engineering, University of Padova: Title of the project Personalized whole brain models for neuroscience: inference and validation Abstract of the project: Contemporary neuroscience has embraced network science to study the complex and self- organized structure of the human brain, with the promise of addressing key societal issues such as neural degeneration and treatment of neurological and psychiatric diseases and damages. These objectives will be pursued in this highly interdisciplinary project following a data-driven model based approach: our final goal is to design novel algorithmic solutions for data-driven inference of whole-brain mesoscale dynamical models as well as to develop and validate (or invalidate) models based on both data driven as well as methodological studies. Ideally, these models should provide solid grounds to develop (i) novel individual-level features for predicting cognitive and behavioral deficits originated by brain lesions or neuro- degeneration and (ii) simulation tools for designing personalized treatments such as stimulation. Team: The post-docs will work in an interdisciplinary team composed of Engineers, Psychologists, Neurologists and Physicists Salary: Approx. 25Keuro/year gross Duration: 20 months (can possibly be extended to 32 months) Opening date: approx. March 2nd, 2020 Closing date: approx. April 2nd, 2020 Link PostDoc#1: https://www.dei.unipd.it/node/26525 Link PostDoc#2: https://www.dei.unipd.it/node/26510 Contacts: Prof. Alessandro Chiuso Department of Information Engineering University of Padova chiuso(a)dei.unipd.it Prof. Alessandra Bertoldo Department of Information Engineering University of Padova bertoldo(a)dei.unipd.it POST DOCTORAL POSITION # 1 TITLE: Development and analysis of novel models and methods for effective connectivity in whole-brain network models Activity: The Post-Doc will develop and refine algorithms for estimation of effective connectivity models from neuroimaging data (fMRI) providing also an in-depth comparison between different classes of methodologies (e.g. DCM-like models and “Granger’’ causality type models). He/she will also actively collaborate in the validation studies and work in close interaction with the external collaborators (neurologists, neuroscientists, physicists). Profile: The ideal candidate should have a recent PhD in engineering, applied mathematics/physics, statistics, computer science, and related fields. He/she must have demonstrated experience in complex system modeling and advanced analytic techniques (e.g. multivariate approaches, machine learning, graph theory etc.). Strong analytical/mathematical skills are a requirement. Experience in one or more areas of neuroimaging will be plus. Programming skills (C, C++, Python, Matlab) are not a prerequisite, but a clear advantage. Moreover, the candidate must be highly motivated and creative individual with the ability to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. POST DOCTORAL POSITION # 2 TITLE: Analysis and validation of novel models and methods for effective connectivity in whole-brain network models Activity: The activities will be mainly related to the preprocessing and analysis of neuroimaging data as well as validation, via systematic statistical testing, of effective connectivity models on animal data as well as on stroke patients. In particular, the post-doc will be involved in the design of experiments and conduct human neuroimaging research on normal brain organization and changes in network architecture among patients with stroke, with an emphasis on effective and functional connectivity network mapping. The post-doc will compare the human results with those he/she will obtain working with whole- brain rs-fMRI signals from the animal model. Profile: The position is open to recent PhDs in applied mathematics/physics, computer science, engineering, statistics and related fields, with demonstrated ability to conduct high impact research. The successful applicant will have expertise in anatomical MRI, dMRI and/or rs-fMRI analysis, familiarity with control theory and system identification, time-series analysis, statistics and graph theoretic and network modeling. Expertise in vivo electrophysiology signals analysis is also desirable. Experience with neuroimaging analysis programs (ANTs, FSL, SPM, FreeSurfer or other relevant programs), and strong knowledge on programming (e.g. good command of scripting, Python and Matlab) is also expected. Clearly, the successful candidate will be part of a diverse and multidisciplinary group including engineers of different specialties, neuroscientists, physicists, therefore a strong attitude and flexibility in team-working are required to foster cross-breeding and fertilization among the different disciplines involved in the project.

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Google Summer of Code: open source models of cortical networks
by Gleeson, Padraig March 4, 2020

March 4, 2020

--Apologies for cross-posting-- Google Summer of Code<https://summerofcode.withgoogle.com/> is an initiative to encourage students to contribute to open source software projects. Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF<http://incf.org/> has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative<http://www.opensourcebrain.org> is encouraging students to apply to be part of this. The successful candidate for our our proposal<https://neurostars.org/t/gsoc-2020-project-idea-10-open-source-cross-simula…> will take published models of cells and networks from the cortex and convert them into open, standardised formats (e.g. NeuroML and PyNN) and share them on the OSB platform as a resource for the wider community. These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. This opportunity is particularly relevant for Masters & PhD students currently working in model development/analysis in computational neuroscience. Many students are already reusing/converting/updating existing models as part of their work and this is a great opportunity to get paid extra to do this! Closing date for student applications: 31st March 2020 Period of working on projects: 18 May - 17 August 2020 More information on the cortical modelling project can be found here<https://neurostars.org/t/gsoc-2020-project-idea-10-open-source-cross-simula…>. There is another OSB project related to sharing data in Neurodata Without Borders format here<https://neurostars.org/t/gsoc-2020-project-idea-31-osb-conversion-of-public…>. Multiple other project ideas from other neuroinformatics and computational neuroscience initiatives (including The Virtual Brain, Brian, LORIS, GeNN, SciUnit, PyNN, OpenWorm) can be found on the INCF project ideas page<https://neurostars.org/c/gsoc>. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk<mailto:p.gleeson@ucl.ac.uk> -----------------------------------------------------

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Call for Papers :International Conference on Artificial Intelligence and Big Data (AIBD 2020)
by Fredrick Johnson March 4, 2020

March 4, 2020

International Conference on Artificial Intelligence and Big Data (AIBD 2020) April 25~26, 2020, Copenhagen, Denmark https://acsty2020.org/aibd/index.html Call for Papers International Conference on Artificial Intelligence and Big Data (AIBD 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Artificial Intelligence and Big Data. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence and Big Data. Topics of interest include, but are not limited to, the following Artificial Intelligence * AI Algorithms * Artificial Intelligence Tools and Application * Computational Theories of Learning * Data Mining and Machine Learning Tools * Fuzzy Logic * Heuristic and AI Planning Strategies and Tools * Hybrid Intelligent System * Intelligent System Architecture * Knowledge Representation * Natural Language Processing * Knowledge-based Systems * Neural Networks * Pattern Recognition * Reasoning and Evolution * Recent Trends and Developments of AI, Big Data * Robotics Big Data * Big Data Techniques, models and algorithms * Big Data Infrastructure and platform * Big Data Search and Mining * Big Data Security, Privacy and Trust * Big Data Applications in AI, Bioinformatics, Multimedia etc * Big Data Tools and systems * Big Data Mining and AI * Big Data Management * Cloud and grid computing for Big Data * Machine Learning and AI for Big Data * Big Data Analytics and Social Media * 5G and Networks for Big Data Paper Submission Authors are invited to submit papers through the conference Submission System by March 07,2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from AIBD 2020, after further revisions, will be published in the special issue of the following journal. * Machine Learning and Applications: An International Journal (MLAIJ) * International Journal of Artificial Intelligence & Applications (IJAIA) Important Dates Submission Deadline : March 07, 2020 Authors Notification : April 10, 2020 Registration & camera -- Ready Paper Due : April 15, 2020 Contact Us Here's where you can reach us : aibd(a)acsty2020.org or aibdconf(a)yahoo.com

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Cognitive Science Master program in Moscow Russia
by Cogito HSE March 4, 2020

March 4, 2020

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CNS*2020 Melbourne: Abstract DEADLINE EXTENDED
by Martin Zapotocky March 3, 2020

March 3, 2020

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* Call for Abstracts - Deadline Extension* *29th Annual Computational Neuroscience Meeting (CNS*2020)* Melbourne, Australia July 18--22, 2020 https://www.cnsorg.org/cns-2020-quick The CNS*2020 abstract submission deadline has been extended to *Wednesday, March 11* at 11:00 pm Pacific Time. Note that one of the authors *must register* as sponsoring author for the main meeting before abstract submission. *Travel awards up to 1,000 USD* are available for student and postdoc members of OCNS to attend the main meeting. Please note that an extended abstract is required when applying for a travel award or oral presentation format. *The Travel Award application deadline *coincides with the abstract submission deadline. For a statement on the Covid-19 outbreak and CNS*2020 registration, please see: <http://clicks.memberclicks-mail.net/ls/click?upn=0q9n39ErOfD80mnaMiQultun8I…>https://www.cnsorg.org/cns-2020-covid-19-updates Abstract Submission for the main meeting: https://www.cnsorg.org/cns-2020-abstract-submission The Call for Workshops remains open: https://www.cnsorg.org/cns-2020-call-for-workshops -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL:www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email:zapotocky@biomed.cas.cz 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 the Czech Academy of Sciences. 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 the Czech Academy of Sciences.

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2 PhD positions in the European Training Network project ENTRAIN-VISION in Prague
by Jan Antolik March 3, 2020

March 3, 2020

2 PhD positions are available in the European Training Network project ENTRAIN-VISION <http://www.entrain-vision.eu/> in Prague, within the Marie Sklodowska-Curie ETN - Early Stage Researcher (PhD) program. Blindness is the most feared handicap leading to the greatest exclusion from society by reducing patient autonomy and mobility. Clinical trials have demonstrated the possibility to regain some useful vision with retinal prostheses in patients having lost photoreceptors. New approaches are entering into clinical trials such as photovoltaic implants, optogenetic therapy and even cortical prostheses for patients having lost eye to brain connection. In the ENTRAIN-VISION <http://www.entrain-vision.eu/> project, the Early Stage Researchers (ESRs) will work on these innovative technologies for restoring vision in blind patients. Their training in academic institutes or industry will be completed by several secondments, including at least one at an industry partner. In addition, several summer schools will address scientific subjects on vision restoration and transferable skills in technology transfer, clinical trials, start-up creation, and communication to the media. At the Computational Systems Neuroscience Group (CSNG <http://antolik.net/>) at Charles University in Prague, we will address the problem of how to encode visual stimulus, such that the stimulation of the targeted visual processing stage (retina, thalamus or cortex) leads to perception of the given stimulus by the implanted subject. We will address this question via computational means, relying on both large-scale recurrent spiking neural network models of early visual system <https://www.biorxiv.org/content/biorxiv/early/2019/04/18/610378.full.pdf>, as well as novel <https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi…>deep neural network <https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi…> machine learning techniques. This way, we will inform the future design of the visual prosthetic devices and contribute to the information processing software that will run on the implanted hardware. What we offer: - Obtain a PhD from Charles University <https://cuni.cz/uken-1.html> in Prague. - Internships at technological innovators Innovatric <http://innovatrics.com/> and GoodAI <https://goodai.com/>, and 3 month secondment at another ENTRAIN-VISION <http://www.entrain-vision.eu/> partner (see attachments for full list). - Work in close collaboration with the leading vision restoration lab of Dr. Serge Picaud <http://www.institut-vision.org/en/retinal-information-processing-pharmacolo…> at the Institute de la Vision <http://www.institut-vision.org/>, Paris. - A full-time 3-year paid contract, starting September 2020. Main tasks and responsibilities: - Building and testing large-scale recurrent spiking neural network models of early visual system. - Extending these simulations with model of the prosthetic system, and calibrating the resulting simulation stack against physiological data provided by the project partners. - Developing encoding schemes for visual stimuli that will provide both accurate and efficient stimulation of the neural visual substrate. - Evaluating candidate encoding schemes in the simulation environment. - Finding efficient implementations of the selected encoding schemes in the low-powered prosthetic hardware. Skills and qualifications: - Bachelor (BSc) and Master (MSc) in Physics/Mathematics/Engineer/Neuroscience/Computer Science or related fields - Programming skills: Python. - Willing to learn new skills and work in teams - High level of English proficiency - Prior experience in neural modelling a plus For further information on all project partners, *how to apply* and *deadlines* please see attached documents. Ján Antolík <http://antolik.net/>, PhD -- Associate Researcher Computational Systems Neuroscience Group Faculty of Mathematics and Physics Charles University in Prague, Czech Republic

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CAMP at Bangalore 2020 Course application deadline extended
by U.S.Bhalla March 3, 2020

March 3, 2020

Dear Colleagues, The deadline to apply for CAMP at Bangalore 2020 has been extended till *March 10*. The course runs from 29 June 2020 to 14 July 2020. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on — *Hippocampus beyond Space, and Dimensionality & Manifolds*. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline: 10 March 2020, 11:59 PM IST Referee letters must reach by 12 March 2020, 11:59 PM IST *Speakers:* Aaron Batista, University of Pittsburgh, USA Alessandro Treves, SISSA, Italy Collins Assisi, IISER Pune, India Kishore Kuchibhotla, Johns Hopkins University, USA Marianne Fyhn, University of Oslo, Norway Sachin Deshmukh, IISc Bangalore, India Srdjan Ostojic, Ecole normale supérieure, France Suhita Nadkarni, IISER Pune, India Taro Toyoijumi, RIKEN, Japan Torkel Hafting, University of Oslo, Norway Visit the course website *http://camp.ncbs.res.in/* for more details about the course and previous CAMPs. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) Best, Organizing Committee CAMP 2020

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Special Issue on “Computational Models of M/EEG and Their Applications"
by Benedetta Franceschiello March 3, 2020

March 3, 2020

Dear colleagues, The call for papers for our special in Brain Topography on “Computational Models of M/EEG and Their Applications" - is out! The full call can be found here <https://www.springer.com/journal/10548/updates>. Please feel free to distribute this call to colleagues who you think might be interested, and do not hesitate to contact us with any questions. Important dates at a glance: - informal proposal to the guest editors* before *March 31st*, 2020 - manuscript submission from now until *June 15th*, 2020 **katharina.glomb(a)unil.ch <katharina.glomb(a)unil.ch>, benedetta.franceschiello(a)fa2.ch <benedetta.franceschiello(a)fa2.ch> and jlefebv3(a)uOttawa.ca <jlefebv3(a)uOttawa.ca> with “BTOP Special Issue Proposal” as the subject line* A list of topics include the following, though interested authors are encouraged to expand beyond them: *Computational models of M/EEG at the level of single cells and micro-circuits:* models of single-cell or ensemble activity of different types of neurons that are relevant to the analysis and modeling of M/EEG recordings. *Computational models of M/EEG at the level of neural masses and neural fields:* models of population dynamics and how they could determine specific features of the electrical activity recorded by M/EEG *Macroscopic computational models for M/EEG taking into account brain connectivity and/or gradients:* models investigating the contributions of brain connectivity and/or cortical gradients to global activity. *Applications of computational models of M/EEG:* how quantitative and qualitative measures extracted through computational models of M/EEG help to interpret behavioural or perceptual mechanisms, e.g.: brain stimulation, epilepsy, anesthesia, coma and disorders of consciousness, neuropsychiatric disorders, and brain-computer interfaces. Best regards, -- Benedetta Franceschiello, Ph.D. Postdoctoral Fellow Laboratory for Investigative Neurophysiology <https://www.unil.ch/line/en/home.html> UNIL and Department of Radiology RC7, Centre Hospitalier Universitaire Vaudois (CHUV) and Service of Ophthalmology Fondation Asile des Aveugles Tel: +41 787409774 Rue du Bugnon 46, CH-1011 Lausanne https://sites.google.com/view/benedettafranceschiello-phd/

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Job Opening at the Allen Institute for Brain Science: Computational Studies of Cortical Circuits
by Anton Arkhipov March 3, 2020

March 3, 2020

An exciting opportunity to work at the Allen Institute for Brain Science: Scientist I/II - Computational Studies of Cortical Circuits. Apply here: https://alleninstitute.org/what-we-do/brain-science/careers/job-search/ Follow the link above and choose "Scientist I/II - Computational Studies of Cortical Circuits" from the list of available positions. Please feel free to contact me with any questions: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. Scientist I/II - Computational Studies of Cortical Circuits The Allen Institute for Brain Science is seeking exceptional candidates for a position of Scientist in our Seattle-based, multidisciplinary organization. The Scientist will join the computational team of Anton Arkhipov and will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits. Our computational team collaborates closely with experimentalists to build systematic classifications of structure and function of the mouse visual cortex based on high-throughput recordings in vitro (e.g., http://celltypes.brain-map.org and Gouwens et al., Nature Neurosci., 2019) and in vivo (e.g., https://portal.brain-map.org/explore/circuits and Siegle et al., bioRxiv 805010, 2019). Using systematically constructed models of neurons from diverse types (Gouwens et al., Nature Comm., 2018), we are building and simulating data-driven, highly realistic models of the mouse visual cortex (Arkhipov et al., PLOS Comp. Bio., 2018; Billeh et al., Neuron, in press, 2020; https://portal.brain-map.org/explore/models/mv1-all-layers) The team has also developed and disseminated the software enabling such modeling studies (https://alleninstitute.github.io/bmtk/ and https://github.com/AllenInstitute/sonata) Join us to analyze world-class experimental data and build the next generation of brain models. This work will enable mechanistic predictions regarding structure and function of cortical circuits and will drive new experiments. Job Responsibilities: * Collaborate with in-house experimentalists to analyze data from Neuropixels electrophysiology and/or 2-photon calcium imaging in the mouse brain, as well as electron microscopy connectomics. * Use these data to build and simulate models of cortical circuits, in order to study mechanisms connecting circuit structure and function. * Publish/present findings in peer-reviewed journals/scientific conferences. Required Qualifications: * PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields. * Strong publication record. Preferred Qualifications: * Track record of scientific excellence and independent thinking. * Experience in computational neuroscience and/or systems neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). * Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. * Experience with scientific programming (e.g., in Python) and sharing/collaborative development of software (e.g., GitHub) is a plus. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Anton Arkhipov Associate Investigator T: 206.548.8414 [cid:image002.png@01D5F0BA.BCEF7290] www.alleninstitute.org<http://www.alleninstitute.org/>

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