- Comp-neuro - lists.cnsorg.org

Research associate position in matlab programming

by Tania Rinaldi Barkat

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

Aug. 14, 2017

International Brain Laboratory Staff Positions Ads

by Zachary Mainen

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

Aug. 11, 2017

PhD Studentship in Computational and Systems Neuroscience

by Christopher Buckley

There are still PhD positions available in our labs, see below. The role would involve computational modelling, dynamical systems analysis and control theory so we particularly encourage candidates with a computational, physics, maths or engineering background interested in getting involved in cutting edge experimental neuroscience to apply. PhD Studentship: Distributed neural processing of self-generated visual input in a vertebrate brain. A PhD studentship in Computational and Systems Neuroscience is available in the groups of Dr Christopher L Buckley (Department of Informatics) and Prof. Leon Lagnado (School of Life Sciences) at the University of Sussex. During movement, sensory input and motor output are bound in a closed-loop: motor actions shape sensory input and sensory inputs inform future motor commands. We will characterise the neural circuits involved in the interactions between the sensory and motor systems using light-sheet microscopy to image neural activity across the brain of live zebrafish in a virtual reality environment (Nature. 2013;493: 466–468). The project will involve computational modeling and “big-data” analysis as well as experiments. Appropriate backgrounds therefore include physical and computational science as well as neuroscience. Experience with programming and a quantitative approach are essential. More information about the project is available at https://tinyurl.com/kjtxoq9. Informal enquiries can be made to Chris Buckley<http://www.christopherlbuckley.com/> (c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk>) or Leon Lagnado<http://www.sussex.ac.uk/lifesci/lagnadolab/> (l.lagnado(a)sussex.ac.uk<mailto:l.lagnado@sussex.ac.uk>). Sussex Neuroscience<http://www.sussex.ac.uk/sussexneuroscience> is one of the foremost centers for Neuroscience research in the UK and the University of Sussex has a beautiful campus on the outskirts of the lively South Coast town of Brighton. Application: Please apply through the post-graduate application system of the University of Sussex (http://www.sussex.ac.uk/study/apply) Please include a brief statement of your scientific interests and skills/experience in the mandatory “research proposal”, including how you would imagine your role in the project (max 2 pages) and include a full CV. Indicate Dr Christopher L Buckley as your preferred advisor and clearly state the title of the studentship. When you apply, please send a copy of your application documents to c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk> and l.lagnado(a)sussex.ac.uk<mailto:l.lagnado@sussex.ac.uk>. Funding Notes The studentship includes a three year stipend at a standard rate (currently £14,296 per annum) and, in addition, fees at the UK/EU rate. Since the studentship only covers fees at the UK/EU rate, overseas applicants are kindly requested to state in their application how they propose to cover the difference between UK/EU and overseas fees. Deadline Applications will be considered on a rolling basis. Christopher L Buckley Lecturer in Neural Computation University of Sussex Department of Informatics Sussex Neuroscience Falmer Brighton, UK email: c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk> twitter: @drclbuckley

Aug. 11, 2017

Postdoc Position in Retina Research / Computational Neuroscience

by Gollisch, Tim

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

Aug. 11, 2017

[INNS-BDDL 2018] Call for Papers

by Teng Teck Hou

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

Aug. 11, 2017

Bernstein 2017 Workshop: "Multiscale modeling and simulation"

by Salvador Dura

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

Aug. 10, 2017

postdoc position

by Jean Daunizeau

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

Aug. 4, 2017

AoN Brainhack Warsaw 2017 - call for project proposals

by Natalia Bielczyk

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

Aug. 4, 2017

Post-doc positions in analyses of electron microscopic images from the brain (Kyoto U, Japan)

by Hidetoshi Urakubo

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

Aug. 4, 2017

Postdoctoral positions in systems/computational neuroscience at the University of Pennsylvania

by Maria Geffen

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

Aug. 3, 2017

CBIC 2017 deadline extension (15.08.2017)

by Luis Martí

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

Aug. 1, 2017

5-year research fellow position in Neuromorphic Machine Learning

by Schmuker, Michael

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

Aug. 1, 2017

PhD position in Neuroscience at the Bio-Imaging Lab, University of Antwerp, Belgium

by Georgios A. Keliris

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

July 31, 2017

Postdoctoral position: cortical microcircuit dynamics

by Okun, Michael (Dr.)

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

July 28, 2017

PhD Scholarship on Model-based Cognitive Neuroscience

by Jelmer Borst

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

July 27, 2017

Neuroinformatics 2017 in Kuala Lumpur, Malaysia, on August 20-21!

by INCF Congress

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

July 27, 2017

Human Brain Project: calls are open to join the project in the next project phase

by "Lührs, Anna"

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

July 27, 2017

One PhD and one PostDoc Position in Theoretical Neuroscience at the Georg-August University of Göttingen available

by Tetzlaff, Christian

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

July 26, 2017

PhD and Postdoc positions in cognitive neuroscience in Bordeaux

by Alexandre Zenon

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

July 25, 2017

Please post: postdoctoral fellowship available

by Andy Edwards

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

July 25, 2017

MBCC 2017: ICCV Workshop on Mutual Benefits of Cognitive and Computer Vision - Call For Papers

by Christopher Kanan

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

July 23, 2017

BCBT2017 Summer School. Registration deadline August 1st!

by BCBT, Bústia Compartida

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

July 23, 2017

NeuroMorpho.Org v7.2 released July 19th, 2017

by NeuroMorpho Administrator

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

July 21, 2017

8th NeuralEnsemble CodeJam workshop

by Andrew Davison

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

July 21, 2017

PhD studentship in Computational Neuroscience/Machine Learning

by Vassilis Cutsuridis

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

July 20, 2017