- Comp-neuro - lists.cnsorg.org

2018 Image Based Biomedical Modeling (IBBM) Course in Park City, Utah
by Rob MacLeod April 3, 2018

April 3, 2018

Park City Summer Course in Image Based Biomedical Modeling (IBBM) July 16-26, 2018 Newpark Resort in Park City, Utah ibbm.sci.utah.edu <http://ibbm.sci.utah.edu/> Contact: ibbm(a)sci.utah.edu <mailto:ibbm@sci.utah.edu> The fellowships have been announced for the new edition of the Image Based Biomedical Modeling (IBBM) <http://ibbm.sci.utah.edu/> Summer Course in July, 2018 and now it is time to fill the rest of the class for this year. As always, capacity is limited so please do not delay too long to be assured of a spot. Registration Deadline: April 16, 2018 Registration fee: $2,050 (includes room, all breakfasts and lunches, and social events) Travel: Arrive Sunday, July 15 and depart Friday, July 27. Please visit the web site for more details or contact me directly (macleod(a)sci.utah.edu <mailto:macleod@sci.utah.edu>). For Graduate Students, Postdocs, Faculty, and Industry. We especially welcome participants who are underrepresented in health-related sciences. This course creates field-specific expertise and hands-on experience in bioelectric or biomechanical problems that arise in current biomedical research and clinical practice. It provides training in numerical methods, image analysis, and computational tools necessary to carry out end-to-end, image-based, subject-specific simulations in bioelectricity or biomechanics, using freely available software. Organizers: Rob Macleod, Jeff Weiss, and Ross Whitaker Scientific Computing and Imaging (SCI) Institute Supported by the National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS) Best, The IBBM Team

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Fully funded PhD in Behavioral Neurophysiology at Sapienza University of Rome
by Stefano Ferraina April 3, 2018

April 3, 2018

A fully funded 3-year PhD position beginning November, 2018 is available in the PhD School of Neuroscience and PhD program in Behavioral Neuroscience <https://goo.gl/c644> at Sapienza University of Rome. The call is open to non-resident researchers only. The selected candidate will be involved in the activity of the *Curriculum in Behavioral Neurophysiology* in the lab of one of the faculty members listed here <https://sites.google.com/a/uniroma1.it/dottorato-in-neuroscienze-del-compor…> . We are looking for excellent candidates with Neurobiology, Physics, or Mathematics background. Prior training and experience in neuroscience and neural data analysis is desirable. The successful candidate will be fully founded (€ 19.800,00 per year). For further information please email to: stefano.ferraina(a)uniroma1.it Deadline for completing the online application is April 23 2018 ----- *Stefano Ferraina, MD PhD* Full Professor of Neurophysiology Dept Physiology and Pharmacology Sapienza University Piazzale Aldo Moro 5, 00185 Rome ITALY ph +39 0649910306; fax +39 0649690236

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KogWis2018 Conference Call
by Constantin Rothkopf April 2, 2018

April 2, 2018

KogWis 2018: 14th Biannual Conference of the German Cognitive Science Society Centre for Cognitive Science, Technische Universitaet Darmstadt S1|05: Hoersaal 122, Maschinenhaus, Magdalenenstrasse 12 Darmstadt, Germany, September 3-6, 2018 http://www.tu-darmstadt.de/kogwis2018 KogWis 2018 will be held in Darmstadt, Germany, and invites submissions of extended abstracts on current work in cognitive science. Generally all topics related to cognitive science are welcome. Contributions that address the focus of this meeting, that is, computational cognitive science are particularly encouraged. Computational approaches to cognitive science emphasize formalizing adaptive and intelligent behavior and have strong ties to machine learning and artificial intelligence. Confirmed keynote speakers: Frances Egan (Rutgers University) Noah Goodman (Stanford University) Mate Legyel (University of Cambridge) Iris van Rooij (Radboud University Nijmegen) Christopher Summerfiled (University of Oxford) Call for Presentations and Posters We call for extended abstracts for oral presentations and for posters. Submissions should be written in English, and be formatted according to the formatting guidelines below. Contributions must be submitted by 20 April 2018 via the EasyChair submission webpage: https://easychair.org/conferences/?conf=kogwis2018 All submissions will be peer-reviewed by members of the review committee. Acceptance will be based on novelty of research, significance of results, and quality of presentation. Accepted abstracts will be published in the online conference proceedings. All accepted contributions must be presented at the conference. So at least one author must register by the early registration deadline or the contribution will not be included in the program. The best submissions to KogWis 2018 will be selected for oral presentation at the conference. Important Dates Main conference: 03 - 06 September 2018 Submission deadline for extended abstracts: Friday, 20 April 2018 Notification of acceptance (presentations or posters): Monday, 28 May 2018 Early registration deadline: Monday, 02 July 2018 PhD Student Workshop Deadline: Monday, 23 July 2018 We are looking forward to meeting you in Darmstadt, Constantin Rothkopf, Dirk Balfanz, Ralf Galuske, Frank Jaekel, Kristian Kersting, Jakob Macke, Betty Mohler

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DEADLINE APPROACHING -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris
by A. Torcini March 30, 2018

March 30, 2018

The deadline for the workshop is approaching InSpire - New Insights on Complex Neural Dynamics to be held on June, 6th-8th, 2018, at Institut d'Etudes Avancés - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ deadline for registration: 20th April, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini

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Two Junior Women Canadian Research Chair positions, Faculty of Engineering, Sherbrooke, Québec, Canada
by Jean Rouat March 29, 2018

March 29, 2018

The faculty of engineering from Université de Sherbrooke, Québec, Canada is opening 2 Junior Women Canadian research chair positions. The research application domains are quite large and described on the web page: https://monemploi.sofe.usherbrooke.ca/sofe-service/f?p=103:40:0::NO:RP,40:P… My department (Electrical and Computer Eng.) is interested in recruiting candidates with expertises in neuroinformatics, neural networks and/or machine learning in relation with one of the domains described on the official announcement: neuroinformatics algorithms for neural networks/machine learning for embedded systems with low energy requirements, AI for transportation and mobility, neuronal prosthesis, etc. The deadline to submit to the dean of the faculty is 20 April 2018. Keywords: ———— Neural networks, Spiking neurons, Neurocomputational systems, Learning, Deep Learning, Artificial Intelligence, Human-machine interactions. All the best. Jean Rouat, Prof., coord. IGLU, http://iglu-chistera.github.io Université de Sherbrooke Université de Montréal Member of the centre for Interdisciplinary research Professeur titulaire, Professeur associé in Music Media and Technology NECOTIS: Computational Neurosciences Vision, neuroscience Lab McGill Schulich School of Music and Intelligent Signal Processing FAS- Sciences biologiques 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 90 avenue Vincent-d’Indy Montreal, Qc, 2500 boul. de l'université Montréal, Qc, Canada, H3A 1E3 Sherbrooke, Québec Canada, H3C 3J7 Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca Publications (not updated): https://www.gel.usherbrooke.ca/rouat/publications/publiDeJRouat.html

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque March 29, 2018

March 29, 2018

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation), is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat and may be developed at USP São Paulo, USP Ribeirão Preto or Unicamp. We seek candidates capable to develop independent research in one of the research lines below. *1. *Stochastic and/or computational modeling of the brain functioning. *2. *Acquisition, processing and quantitative analysis of electrophysiological data. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered. - A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis and knowledge of computer programming. Previous experience with multidisciplinary research teams is welcome. - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions * Applicants should complete and submit the application form at *neuromat.numec.prp.usp.br/postdoc-form <http://neuromat.numec.prp.usp.br/postdoc-form>*. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see *fapesp.br/en/6351 <http://fapesp.br/en/6351> *for instructions). - List of publications, with links to those available online. - A summary of your research plan for the next year, up to 5 pages length. It should explicitly address its place in the framework of the NeuroMat mission and research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to *postdoc-appl(a)numec.prp.usp.br <postdoc-appl(a)numec.prp.usp.br>*. Candidates are encouraged to apply at their earliest convenience until April 25, 2018. Appointments are expected to start on June 1, 2018. This opportunity is open to candidates of any nationalities. The selected candidate will receive a FAPESP's Post-Doctoral fellowship in the amount of R$7.174,80 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship which should be spent in items directly related to the research activity. More information about the fellowship is at: *www.fapesp.br/en/5427 <http://www.fapesp.br/en/5427>*. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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Tenure-Track Assistant/Associate Professor in Systems Neuroscience - Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
by Fleur Zeldenrust March 28, 2018

March 28, 2018

Tenure-Track Assistant/Associate Professor in Systems Neuroscience (0.8 - 1.0 FTE) Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands Link: http://www.ru.nl/werken/details/details_vacature_0/?recid=600469 As a tenure-track Assistant/Associate Professor of Systems Neuroscience, your research programme will centre on bridging experimental and theoretical approaches to provide mechanistic insights in cognition and behaviour. Ideally, you have a focus on human neuroimaging using MEG, and potentially combine this with experimental approaches involving animal models for cognition and behaviour. You should be a well-trained academic with an internationally visible profile as evidenced by publications in top-ranked scientific journals. You should hold a PhD degree in systems neuroscience, neurobiology, cognitive neuroscience or a related discipline. We expect you will contribute to the training of undergraduate and graduate Science students and also students enrolled in the Research Master’s programme of Cognitive Neuroscience of the Donders Institute. Furthermore, you will supervise PhD candidates, postdoctoral researchers and non-academic technical staff. The position is intended for a junior faculty member to be appointed at the Assistant Professor level, but if you are an experienced candidate with an established research programme, external funding and significant teaching experience, you may be considered for an appointment at the Associate Professor level. Work environment The Donders Institute for Brain, Cognition and Behaviour is a world-class interfaculty research centre housing more than 600 researchers devoted to understanding the mechanistic underpinnings of the human mind. Research at the Donders Institute is focused around four themes: 1. Language and communication, 2. Perception, action and control, 3. Plasticity and memory, and 4. Brain networks and neuronal communication. The Donders Institute was assessed by an international evaluation committee as ‘excellent’ and recognised as a ‘very stimulating environment, not only for top researchers but also for young talent’. The Donders Institute fosters a collaborative, multidisciplinary, supportive research environment with a diverse international staff. English is the lingua franca at the Institute. You will have your primary location at the Donders Centre for Cognitive Neuroimaging and will be embedded at the Donders Centre for Neuroscience of Radboud University’s Science Faculty. The Donders Institute has an MEG system (CTF, 275 channels), three 3T MRI systems, plus a 7T whole body system based in nearby Essen, EEG laboratories including a baby research lab, and NIRS and TMS laboratories. Scanning access to these facilities does not directly depend on the acquisition of third party funding. What we expect from you - several years of postdoctoral research experience; - the capability and proven ability to acquire research grants; - an aptitude for undergraduate and graduate teaching as evidenced by a university teaching qualification, or the willingness to acquire this certificate; - the proven ability to bridge experimental and more theoretical approaches; - a line of research that fits in with that of the Donders Institute; - a collaborative, open attitude and strong communication and management skills; - the qualities to become a successful research group leader. What we have to offer - employment: 0.8 - 1.0 FTE; - a maximum gross monthly salary of € 5,861 based on a 38-hour working week (salary scale 13); - in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; - starting salary will depend on experience; - duration of the contract: 6 years; - your performance will be evaluated after 6 years. If the evaluation is positive, you will be given a permanent contract; - you will be classified as an Assistant Professor (UD) or Associate Professor (UHD) in the Dutch university job-ranking system (UFO); - you will be able to make use of our Dual Career Service where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. More information about our employment conditions: http://www.ru.nl/ english/working-at/why-work-at-radboud-university-0/terms-employment/ Radboud University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Further information on the Donders Institute for Brain, Cognition and Behaviour: <http://www.ru.nl/donders>http://www.ru.nl/donders/ For more information about this vacancy, please contact: Prof. Richard van Wezel, Scientific Director DCN Telephone: +3124 361 42 47 E-mail: r.vanwezel(a)donders.ru.nl <R.vanWezel(a)donders.ru.nl> You should upload your application (attn. of prof. Richard van Wezel) exclusively using the link on the website (see below).Your application should include (and be limited to) the following attachment(s): - CV including contact details of three references - research statement Deadline for application: 20 May 2018. Interviews will take place in June 2018. Link for application: http://www.ru.nl/werken/details/details_ vacature_0/?recid=600469 -- Fleur Zeldenrust Assistant Professor Department of Neurophysiology Donders Institute for Brain, Cognition and Behaviour Faculty of Science, Radboud University Heyendaalseweg 135, postvak 33, kamer 02.204 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195

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Job opening in Artificial Intelligence at Singapore Institute for Neurotechnology (SINAPSE)
by Tassos Gmail March 28, 2018

March 28, 2018

In the context of the Artificial Intelligence (AI) in Brain Sciences and Technology Initiative (AI@BRAIN), the Cognitive Engineering team of the Singapore Institute for Neurotechnology (SINAPSE) <http://www.sinapseinstitute.org/> will be launching new projects and opening job positions at the introductory level for Senior Research Fellow, Research Fellow and Research Assistant. We are inviting researchers with undergraduate/bachelor degree in Computer Sciences, Computer Engineering, Mathematics/Informatics or relevant Science (e.g. neuroscience) and Engineering (e.g. EE) fields with expertise in AI disciplines: machine learning, deep learning, reinforcement learning, machine perception and reasoning. Priority will be given to candidates with experience in multimodal data processing and multi-agent learning (e.g. deep multimodal learning methods, multimodal data fusion (e.g. graph-theoretic models, multilayer network analysis and community analysis). SINAPSE is a University-level Institute where research on brain, machine, and humans converge for many cutting-edge projects on brain-machine interface, robotics/prosthetics, and AI+cognitive sciences, giving the candidates a unique research environment, mentoring, and career-building experience. Accepted candidates will be involved in the development of AI algorithms for brain signal processing and analysis, as well as brain decoding (including cognitive state recognition, cognitive modeling and brain state modeling). Those who are interested in the jobs are invited to send their CV with two to three referee names and motivation letter to prof. Nitish Thakor (sinapsedirector(a)gmail.com <mailto:sinapsedirector@gmail.com> ), director of SINAPSE or to prof. Anastasios Bezerianos (anastasios.bezerianos(a)gmail.com <mailto:anastasios.bezerianos@gmail.com>). General Requirements: Fluency in written and spoken English (relevant certifications for candidates with no studying or working experience in English speaking countries), as well as Excellent communication skills and team working capabilities in multicultural environment, and independent and proactive character. Specific Requirments: 1. Senior Research Fellow; 1.1 Four (4) to eight (8) years Postdoctoral and/or Faculty position experience. 1.2 Research experience in AI models and algorithms. 1.3 Strong skills in Python and MATLAB programming 1.4 Fifteen (15) publications in international journals (five (5) as first or last author) and 20 book chapters and conference proceedings publications combined. 2. Research Fellow; 2.1 PhD degree in AI theory, models and applications 2.2 Minimum three3) years AI-relevant research experience. 2.3 Strong skills in Python and MATLAB programming 2.4 Minimum three (3) publications in international journals (two (2) as first author ) and 6 book chapters and conference proceedings publications combined 3. Research Assistant; 3.1 Bachelor degree 3.2 Undergraduate experience in AI courses and projects 3.3 Basic skills in Python and MATLAB programming 3.4 Relevant research experience and publications are an advantage Best Regards Tassos anastasios.bezerianos(a)gmail.com

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Post-doc - Detailed Neuronal Modeling - Blue Brain Project, Geneva, Switzerland
by emuller March 27, 2018

March 27, 2018

Dear comp-neuro community, I wish to draw your attention to an opening for a post-doctoral researcher in "Detailed Neuron Modeling" (full advert below), at the Blue Brain Project, EPFL Biotech Campus, Geneva, Switzerland. For more details, and instructions how to apply, see: https://recruitingapp-2863.umantis.com/Vacancies/524/Description/2 Best regards, Eilif ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits Task Leader - Community Engagement - HBP Brain Simulation SP EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller ------------------------------------------------------------------------------------- BBP - Post-doctoral Researcher in Detailed Neuron Modeling Your mission : The EPFL Blue Brain Project (BBP), situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. The BBP provides the community with regular releases of data, models and tools to accelerate neuroscience discovery and clinical translation through open science and global collaboration. Within the Cells & Circuits division we are looking for a Post-doctoral Researcher in Detailed Neuron Modeling Main duties and responsibilities include : The primary objectives for this position are to strengthen on-going large-scale detailed neuron modeling, model validation efforts in the project, and to undertake original scientific research to characterize the role of intrinsic cellular mechanisms in computation and dynamics at the network level. Scientific leadership is expected to supervise computational neuroscience students, as is an intimate knowledge of the employed software in order to interface with engineering teams. The position is in close contact with an electrophysiology lab and modeling will go hand in hand with available and newly acquired experimental data. Your profile : * PhD in neuroscience, computational neuroscience, physics or related field * Expert in NEURON and multi-compartment conductance-based modeling as demonstrated by strong publication record * Expert in scientific computing (python, scipy, numpy, hdf5, gsl, Linux, etc.) * Knowledge of whole cell electrophysiology, ion channel experiments * Experience in automated neuron model optimization techniques * Experience in other programming languages (C++), parallel computing and software development (unit testing, continuous integration, version control, debugging and documentation) is of advantage * Experience in supervision of students and teaching * Strong team player and fluent English in speech and writing We offer : * An internationally visible project in simulation-based research in neuroscience having a leading role in the EU FET flagship “Human Brain Project” * A young, dynamic, inter-disciplinary, and international working environment * Very competitive salary Start date : Until position is filled Term of employment : Fixed-term (CDD) Work rate : 100% Duration : 1 year (renewable) Contact : Applicants should submit a cover letter and a detailed CV in PDF format only, with file name “Surname_position _Cover Letter” and “Surname_positon _CV” electronically to jobs.bbp(a)epfl.ch Please refer to the position title in the “subject” field.

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Call for three 2-year postdoc positions at Aix-Marseille/Avignon on Language, Communication and the Brain
by Demian Battaglia March 27, 2018

March 27, 2018

The Center of Excellence on Brain and Language (BLRI, www.blri.fr/) and the Institute of Language, Communication and the Brain (ILCB, http://www.ilcb.fr/ ) offer: Three 2-year postdoc positions on any topic that falls within the area of language, communication, brain and modelling, including computational modelling and advanced data analyses. The BLRI-ILCB is located in Aix-en-Provence, Avignon and Marseille and regroups several research centers in linguistics, psychology, cognitive neuroscience, medicine, computer science, and mathematics. The scientific project, ideally interdisciplinary, should be supervised by at least one member of the BLRI/ILCB (see http://www.blri.fr/members.html) and should, if possible, involve two different laboratories of the institute. . Duration: 2 years (1 year, extendable for another year) . Monthly salary: ~2000 € net (depending on experience) HOW TO APPLY Candidates should first contact potential supervisor(s) among the members of the ILCB/BLRI. Below, you will find a list of projects and supervisors, with a potential computational neuroscience content, that will be given priority for this call: Olivier Coulon, Adrien Megerditchian "Nested cortical models for human and non-human primate inter-species comparisons" Andrea Brovelli, Demian Battaglia "Functional Connectivity Dynamics of the Language Network" Sylvain Takerkart, Hachem Kadri "Multi-modal averaging of neuroimaging data using multi-view machine learning. Methods and applications" Benjamin Morillon , Kristof Strijkers "Time as a functional mechanism of sensorimotor integration in speech and language?" Magalie Ochs "Human-Machine Interaction, Artificial agent, Affective computing, Social signal processing" Eric Castet "Efficiency of a Virtual Reality Headset to improve reading in low vision persons" etc. However, you can also apply to any subject, under the supervision of any ILCB/BLRI member (more info can be found here: http://www.blri.fr/members.html.) When the research project is finalized and approved by the supervisor(s), the application must be sent to nadera.bureau(a)blri.fr.

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Deep learning for video analysis | Postdoc / RA positions available
by Thomas Serre March 27, 2018

March 27, 2018

The computational vision research group, headed by Dr. Thomas Serre at Brown University, has an opening for a research assistant and/or a postdoctoral fellow to work in the area of computer vision and deep learning. The applicant will have the opportunity to develop state-of-the-art machine vision algorithms and join various multi-disciplinary projects ranging from evolutionary biology to behavioral and developmental science. Candidates are expected to have a strong background in modern computer vision and machine learning methods and a solid experience with modern deep learning libraries (tensorflow). An interest in biology and applications of computer vision to the biological sciences would also be a plus but is not a requirement for the position. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive. Research group: Information about Dr. Serre and his research group can be found at http://serre-lab.clps.brown.edu. Through Brown’s Center for Computation and Visualization (https://www.ccv.brown.edu) our group has access to a state-of-the-art computing facility with includes over 300K GPU cores and over 500 Teraflops of GPU computing power. Application: Please send your applications by email to thomas_serre(a)correct_university_name.edu where ‘correct_university_name’ should be replaced by ‘brown’. Please include a brief statement of interests and a curriculum vita (no letters of reference required at this stage). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. -- Thomas Serre | GMT -5:00 EDT | T: +1 401-484-0750 Associate Professor of Cog Ling & Psych Sciences | Brown University URL: goo.gl/G69SaF <http://serre-lab.clps.brown.edu> | Google Talk: tserre | Skype: thomas.serre

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Postdoc position available
by Berends, A.C. (Sander) March 27, 2018

March 27, 2018

Dear all, The Dutch research consortium 'Language in Interaction' is currently recruiting for a 3.5-year postdoctoral researcher position in the field of machine learning. The goal of this project “New Advances in Neural Networks for Coding of Neural Representations” is to advance the state of the art in both encoding and decoding of linguistic and semantic representations using advanced neural network architectures. Your responsibility will be to develop a general computational framework for encoding and decoding neural representations. The framework will make extensive use of state-of-the-art neural networks and other machine-learning techniques, which you will develop throughout this project. The models to be developed will be based on novel and efficient deep, generative and/or recurrent neural network architectures that aim to capture biologically plausible human cognitive processing at an unprecedented level of detail. You will help develop this new research line and assist in teaching and supervising Master’s and PhD students in the ACS lab. This position provides an opportunity to conduct world-class research as a key member of an interdisciplinary team operating at the interface between artificial intelligence and cognitive neuroscience. For more information, please visit: http://www.ru.nl/werken/details/details_vacature_0/?recid=600899 Best regards, Sander Berends Programme Manager - Gravitation Consortium "Language in Interaction" T: +31 (0)24 36 19838 | Radboud University Nijmegen | Donders Institute for Brain, Cognition and Behaviour | Centre for Cognitive Neuroimaging | Kapittelweg 29, 6525 EN, Nijmegen | P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands |

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2nd International Workshop on Neurodynamics (Ndy’18), September 26-29, 2018 Castro-Urdiales, Spain
by ROBERTO BARRIO March 27, 2018

March 27, 2018

2nd International Workshop on Neurodynamics (Ndy’18) September 26-29, 2018 Castro-Urdiales, Spain http://cody.unizar.es/events/neurodynamics18/ https://www.ciem.unican.es/2nd-international-workshop-neurodynamics *** Scientific committee *** Peter Ashwin, University of Exeter, UK. Roberto Barrio, Universidad de Zaragoza, Spain. Silvia Daun, University of Cologne, Germany. Mathieu Desroches, Inria, Sophia Antipolis, France. Toni Guillamon, Universidad Politécnica de Cataluña, Spain. Serafim Rodrigues, Basque Center of Applied Mathematics, Spain. Neuroscience is nowadays one of the most collaborative and active scientific research fields as it has been increasingly involving the participation of experts from other disciplines. In particular, computational and mathematical aspects of neuroscience are currently playing an important role both in modeling and replicating experimental findings and in explaining the underlying mechanisms of neurophysiological or cognitive processes. Differential equations are ubiquitous in the modeling of such phenomena and, consequently, nonlinear dynamics and dynamical systems techniques become fundamental sources of new mathematical and computational tools to study neuroscience models. The aim of this Second Workshop on Neurodynamics, NDy'18 (first edition was NDy'14) is to present an overview of successful achievements in this rapidly developing collaborative field by putting together different types of applications of nonlinear dynamics (geometrical tools in dynamical systems, numerical methods, computational schemes, dynamical measures,...) to different problems in neuroscience (mononeuronal dynamics, network activity, cognitive problems,...). Additional emphasis will be put on experimental findings seeking for theoretical explanations, and therefore this meeting is focussed on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behavior in the applied neurosciences. Importantly, it will draw attention to those pieces of mathematical theory which are likely to be relevant to future studies of the brain. The final goal is spreading together mathematical methodology and neuroscience challenges and stimulating future cross-collaborations among participants, being Mathematical Neuroscience the generic topic for NDy'18. The workshop length will be 4 days, distributed in special sessions and talks, with several round tables on different topics. --------------------------------------------------------------------- *** IMPORTANT DATES *** Short abstract/Title submission deadline 14th May 2018 Acceptance notification 31st May 2018 Payment deadline (reduced fee, 220 Euros) 30th June 2018 Payment deadline (complete fee, 270 Euros) 6th September 2018 The registration includes the coffee-breaks, lunches and social dinner. --------------------------------------------------------------------- Send your abstract as soon as possible (always before May 14th) by e-mail to cody(a)unizar.es *************************************************** Prof. Roberto Barrio Computational Dynamics Group (CoDy) Departamento de Matematica Aplicada University of Zaragoza Edificio de Matematicas, planta tercera. c/ Pedro Cerbuna 12, 50009-Zaragoza SPAIN email: rbarrio(a)unizar.es web: http://cody.unizar.es Tel: (34) 976762480 ***************************************************

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Public Lists of Open Science Resources + Open Computational Neuroscience Resources
by Austin Soplata March 26, 2018

March 26, 2018

Hello, On GitHub, I've just put up some rather large public lists of: Open Science Resources https://github.com/asoplata/open-science-resources , and Open Computational Neuroscience Resources https://github.com/asoplata/ open-computational-neuroscience-resources That I think could be helpful. Contributions are very welcome! Best, Austin Soplata -- Austin E Soplata Doctoral Candidate in Computational Neuroscience, Boston University L - linkedin.com/in/*austinsoplata* <http://www.linkedin.com/in/austinsoplata> P - 901 486 9833 T - @austinsoplata <https://twitter.com/austinsoplata>

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Software engineer position
by Tomislav Milekovic March 26, 2018

March 26, 2018

The lab of Prof. Michel at the University of Geneva is offering a software engineer position to work on development and advancement of brain-computer interfaces - devices that link persons' neural activity with computers, robotic limbs or implanted stimulators - with the aim of restoring communication and independence of people with paralysis. The successful candidate will work on several well-funded projects and is expected to transition to other projects in the future as those are initiated. The ideal candidate will have: 1. Degree in Computer Science or Computer Engineering 2. Successfully developed real-life project(s) in C/C++ 3. Experience in interfacing with hardware APIs 4. Experience in development of modular and multithreaded software frameworks that can be easily extended to work with other hardware and other software packages 5. Experience in the development of GUI (Qt, wxWidgets.) 6. Excellent coding standards, following industry best practices regarding code commenting, code documentation, version control, unit and integration tests. The following will also be a plus: 1. Knowledge of linear algebra and related C libraries (LAPAC, BLAS, etc.) 2. Some experience in development of Matlab software 3. Knowledge of real-time operating systems 4. The ability to manage multiple development projects The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of software development, engineering, neuroscience, and prosthetics. They will collaborate with several labs and companies of the newly founded Campus Biotech in Geneva. University of Geneva provides state-of-the-art facilities and is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive salaries ranking amongst the highest in the world. Applications including a CV, short motivation letter, and the names and full contact details of two referees should be sent to tomislav.milekovic(a)unige.ch <mailto:tomislav.milekovic@unige.ch> . Link to the job add: https://drive.switch.ch/index.php/s/OHxsPGEDyS6mFYx

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Clinical neuroengineering postdoc
by Tomislav Milekovic March 26, 2018

March 26, 2018

The lab of Prof. Michel at the University of Geneva is offering a postdoctoral position financed by the Swiss National Science Foundation for up to two years to work on clinical neuroengineering projects aimed at restoring communication and independence of people with tetraplegia and locked-in syndrome using brain-controlled assistive devices and prostheses. The successful applicant will be supervised by Dr. Tomislav Milekovic, a junior group leader under the senior supervision of Prof. Christoph Michel. They will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. These brain-computer interfaces will utilize adaptive decoders in order to restore independence of people with locked-in syndrome. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the quantitative analysis of electrophysiological neural signals (EEG, ECoG, LFP, spikes) 3. Experience in assembling and maintaining brain-computer interface systems 4. Leading brain-computer interface experiments with human or animal subjects 5. Experience in developing and using neural decoders 6. Experience in C/C++ software development The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. They will collaborate with several labs of the newly founded Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking amongst the highest in the world. Applications including a CV, statement of research interests, and the names and full contact details of two referees should be sent to <mailto:tomislav.milekovic@unige.ch> tomislav.milekovic(a)unige.ch. Link to the job add: https://drive.switch.ch/index.php/s/GUmf8l7fkYUXCyh

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Applied computational neurophysiology postdoc
by Tomislav Milekovic March 26, 2018

March 26, 2018

The lab of Prof. Michel at the University of Geneva is offering a postdoctoral position financed by the Wyss Center for Bio and Neuroengineering for up to two years. The successfully candidate will work on: 1. Analysis of intracortical microelectrode and ECoG recordings of people with paralysis and non-human primate models of neurological injuries and disorders. 2. Leveraging the gained knowledge to develop and advance methods for brain-controlled neuroprostheses. The successful applicant will be supervised by Dr. Tomislav Milekovic, a junior group leader under the senior supervision of Prof. Christoph Michel. The ideal candidate will have: 1. Background in computational/theoretical neuroscience, physics or mathematics 2. Experience in the quantitative analysis of electrophysiological neural signals (EEG, ECoG, LFP, spikes) 3. Expertise in development and testing of data processing and decoding computational algorithms for brain-computer interfaces 4. Experience in using computer clusters 5. Experience in Matlab The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. They will collaborate with several labs of the newly founded Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking amongst the highest in the world. Applications including a CV, statement of research interests, and the names and full contact details of two referees should be sent to <mailto:tomislav.milekovic@unige.ch> tomislav.milekovic(a)unige.ch. Link to the job add: https://drive.switch.ch/index.php/s/gxTk2BjEd2rovZc

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[meetings] [LM2018] last week for submission!
by Vicky Vouloutsi March 26, 2018

March 26, 2018

Dear colleagues, Please find below the second call for participation to the 7th edition of Living Machines. Apologies for cross-posting but please share this announcement with your colleagues. *Deadline extended: March 30* Looking forward to seeing you in Paris! ------------------------------------------------------------ ------------------------------------------ *third Call for Papers, Satellite Events and Sponsors* *Living Machines VII: The 7th International Conference on Biomimetic and Biohybrid Systems* *16 – 19 July 2018* To be hosted at the Museum National D’Histoire Naturelle, Grand Amphitéâtre du Museum, and UPMC, Paris, France, EU Accepted papers will be published in Springer *Lecture Notes in Artificial Intelligence* Submission deadline: March 30th, 2018 http://livingmachinesconference.eu/2018 ____________________________________________________________ _________________ *ABOUT LIVING MACHINES 2018* The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. *Biomimetics* is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. *Biohybrid* systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can interact with their physical and social environments. • Biomimetic computers and architectures —neuromimetic emulations of the physiological basis for complex adaptive behaviour. • Active biomimetic materials and structures that self-organize and self-repair. • Nature-based designs and manufacturing processes. • Biohybrid brain-machine interfaces and neuronal implants and neuroprosthetics. • Artificial organs and body-parts including sensory organ-chip hybrids and advanced prostheses and cyber-physical systems. • Organism-level biohybrids and symbiosis such as robot-animal or robot-human systems. *ACTIVITIES* The main conference will take the form of a *three-day single-track oral * and* poster presentation programme*, 17th to 19th July 2018, Museum National D’Histoire Naturelle, Grand Amphitéâtre du Museum, and UPMC, Paris, France, EU. The conference programme will include *five plenary lectures* from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of *Satellite Events* hosted at École Normale Supérieure, Paris. *SUBMITTING TO LIVING MACHINES 2018* We invite both *full papers* and *extended abstracts *in areas related to the conference themes. All contributions will be refereed, and accepted papers will appear in the Living Machines Proceedings, published in the* Springer-Verlag Lecture Notes in Artificial Intelligence.* Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal *Connection Science*. *Satellite events* Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day* tutorials, symposia *or *workshops *on related themes to be held on the 16th July at the École Normale Supérieure in Paris (Http://www.ens.fr/en) Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! *EXPECTED DEADLINES* March 30th, 2018 Paper submission deadline April 28th, 2018 Notification of acceptance May 15th, 2018 Camera-ready copy July 16th – 19th, 2018 Workshops and Conference *SPONSORSHIP* Organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organisers to discuss the terms of sponsorship and necessary arrangements. We also offer a number of attractive options to potential sponsors. *VENUE* Consistent with the Living Machines’ tradition of choosing historical venues at the crossroads between life and human sciences, this year the conference will take place at the Museum National D’Histoire Naturelle ( http://www.mnhn.fr) a historical museum located in the heart of Paris that for almost 400 years has focused on nature and its relationship with humans. The museum is immersed in history, yet at the heart of current affairs, and is also working to be projected towards the future. Poster sessions will be organized at UPMC. *Organising Committee:* *Jose Halloy*, Université Paris Diderot (Local Organizing Chair) *Paul Verschure*, IBEC-BIST (Co-Chair) *Tony Prescott*, University of Sheffield (Steering Committee) *Vicky Vouloutsi,* IBEC-BIST, Barcelona (Programme Chair) *Michael Mangan*, University of Lincoln (Programme Co-Chair) *Nathan Lepora*, University of Bristol (Communications) *Anna Mura*, IBEC-BIST, Barcelona (Web and Communications) *Local* *Organising Committee:* *Stéphane Doncieux*, Prof. UMPC, ISIR *Benoît Girard*, DR CNRS, UPMC, ISIR *Emmanuelle Pouydebat*, DR CNRS, Muséum d’Histoire Naturelle *Vincent Bels*, Prof. Muséum d’Histoire Naturelle -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS)

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Post-doc positions in Neuromorphic Engineering - SINAPSE/NUS/Singapore
by Andrei Nakagawa March 26, 2018

March 26, 2018

Dear all, On behalf of the* Singapore Institute for Neurotechnology (SINAPSE)*, I would like to present an opportunity for Postdoctoral Researchers. The Singapore Institute for Neurotechnology (SINAPSE) ( www.sinapseinstitute.org) at the National University of Singapore (NUS) is looking to hire *two* Postdoctoral Research Associates to enhance their research efforts in *neuromorphic engineering,* *neuromorphic sensing, robotics and prosthetics. * The areas of expertise and experience include: - Integrating multi-modal sensing to improve navigation, manipulation or movement; - Deploying machine learning architectures on robotic/prosthetic devices. - Designing novel mechanisms, for hands and grippers, integrating visual, tactile and haptic sensing; - Implementing bimanual object manipulation algorithms; - Designing spike-based machine learning algorithms. Candidates should have a PhD in engineering, science or related field, have experience in designing complex hardware software systems and developing and applying machine learning architectures for tasks such as object detection (visual/tactile), object tracking and object manipulation. In addition, candidates should have good collaborative and communication skills and be able to work in an interdisciplinary team. We are seeking for creative and imaginative people that are passionate about integrating hardware and software to build biologically inspired systems that perceive, act, and interact with the environment; deploying state-of-the-art machine learning on devices in the real world. We are offering competitive salaries contract and relocation assistance. These are positions without teaching obligations, however applicants with academic aspirations will have the opportunity to supervise undergraduate and graduate students, organize and take part in workshops, and electively get involved in research grants or industry partnerships. To indicate interest, please send a CV to: *Dr. Alcimar Soares* *email: alcimar.soares(a)gmail.com <alcimar.soares(a)gmail.com>.* *Applications will be accepted until the position is filled.* *Environment* SINAPSE is a very exciting place to develop high level and novel research. The lab brings together engineers, scientists and clinical researchers with a common goal of making an impact on society, focused on Neurotechnologies for basic science, clinical application and commercialization. Here, you would find an array of advanced technology: microelectronics for building neural interfaces, imaging tools and technologies for studying function and dysfunction of brain, optical methods for manipulating the nervous system, cognitive and computational methods for assessing neural/brain function, robotics for rehabilitation and neuromorphic systems for modeling the nervous system to inspire the next generation of robots and intelligent machines. The National University of Singapore (NUS) is the leading engineering and scientific institution in Asia centered upon education and basic research. Kind regards, *Andrei Nakagawa Silva, MSc* Singapore Institute for Neurotechnology - SINAPSE National University of Singapore - NUS URL: http://www.sinapseinstitute.org Biomedical Engineering Lab Federal University of Uberlandia URL: http://www.biolab.eletrica.ufu.br/en Contact Skype: andrei.nakagawa1 Phone: +65 9397-7263

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[jobs] Start-up in Berlin seeks biologists for multiple open positions (senior and junior)
by Arnab Chakrabarty March 26, 2018

March 26, 2018

Start-up in Berlin seeks biologists for multiple open positions (senior and junior) neuraltrain GmbH is a newly founded digital health start-up based in Berlin developing innovative, digital mental health solutions. We are looking for biologist(s)/neuroscientist(s) for one of the current projects on a digital therapy solution in depression and affective disorders. Start dates are as soon as possible. RESPONSIBILITIES: * Design, conduct, analyse and present experimental research from the project * In-depth literature review and meta-analyses; in particular, brain oscillations, psychophysics, perceptual learning, depression, internet-based therapy interventions are topics of relevance * Identification and establishment of scientific collaboration with academic partners * Writing reports, grants, publications in English WE DESIRE: * PhD in Neurosciences/ Psychology/ Biology; fresh graduates and post-docs are particularly encouraged to apply * Expertise in the following areas: neuronal oscillations, affective sciences, psychophysics, perceptual learning, EEG, EMG, skin conductance experiments and Depression. * Programming and some app development experience is a strong plus * Experience as an independent researcher in any of the above areas * Knowledge of Python and/or willingness to learn, strong statistical and analytical skills * Entrepreneurial mentality and an ownership/stakeholder attitude to get things done * Knowledge of 'key opinion leaders' in depression and psychiatry, psychology, brain oscillations is a plus You do not have to match all the criteria to apply. We will assess your fit on a case by case basis. We are an equal opportunities employer and favour diversity. We offer a young and dynamic working environment in a hip and exciting co-working space called MINDSPACE right in the heart of Berlin. We are a small, but growing team and are very well-connected in the Digital Health ecosystem. We offer enough flexibility to grow personally and professionally. Location: Berlin Position: Full-time If you feel addressed by this job description, feel encouraged to get in touch at chakrabarty(a)neuraltrain.de<mailto:chakrabarty@neuraltrain.de> with your CV and cover letter describing your motivation for the project and digital health. Dr. Arnab Chakrabarty Founder and CEO, neuraltrain GmbH --- Contact Details: Dr. Arnab Chakrabarty CEO, neuraltrain GmbH Phone: +49 (0)160 97041155 Email: chakrabarty(a)neuraltrain.de<mailto:chakrabarty@neuraltrain.de> --- Company Details: Address: neuraltrain GmbH, c/o F.H. Incubator GmbH, Friedrichstr. 68, 10117 Berlin, Germany Registered at Handelsregister des Registergerichts Charlottenburg; Registernummer: HRB 191630 B UStID: Pending Managing Director: Dr. Arnab Chakrabarty --- This e-mail and any attachment is for authorised use by the intended recipient(s) only. It may contain proprietary material, confidential information and/or be subject to company privilege. It should not be copied, disclosed to, retained or used by, any other party. If you are not an intended recipient then please promptly delete this e-mail and any attachment and all copies and inform the sender. Thank you.

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Faculty jobs in brain stimulation at Stanford University
by Wei Wu March 26, 2018

March 26, 2018

To whom it may concern, I wanted to share a link to this job posting for those who are interested: http://med.stanford.edu/content/dam/sm/psychiatry/documents/ about_us/FacultyJobs/BrainStimulation.pdf

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11ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 3—8 September, 2018
by Jakob Jordan March 25, 2018

March 25, 2018

11ᵗʰ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the University of Camerino https://python.g-node.org Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced: see how far we got in previous years <https://python.g-node.org/wiki/archives#stats>! Date & Location =============== 3–8 September, 2018. Camerino, Italy. Application =========== You can apply online: https://python.g-node.org/wiki/applications Application deadline: 23:59 UTC, 31 May, 2018. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://python.g-node.org/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Organizing, documenting, and distributing scientific code • Testing scientific code • Profiling scientific code • Advanced NumPy • Advanced scientific Python: decorators, context managers, generators, and elements of object oriented programming • Writing parallel applications in Python • Speeding up scientific code with Cython and numba • Memory-bound computations and the memory hierarchy • Programming in teams Also see the detailed day-by-day schedule: https://python.g-node.org/wiki/schedule Faculty ======= • Ashwin Trikuta Srinath, Cyberinfrastructure Technology Integration, Clemson University, SC USA • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde Denmark • Juan Nunez-Iglesias, Melbourne Bioinformatics, University of Melbourne Australia • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux France • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, freelance consultant, Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Berlin Germany • Caterina Buizza, Personal Robotics Lab, Imperial College London UK • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland • Jakob Jordan, Department of Physiology, University of Bern, Switzerland Switzerland For the University of Camerino Italy: • Flavio Corradini, Computer Science Division, School of Science and Technology, University of Camerino Italy • Barbara Re, Computer Science Division, School of Science and Technology, University of Camerino Italy Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD Position in Computational Neuroscience
by Obermayer, Klaus, Prof. Dr. March 25, 2018

March 25, 2018

PhD Position in Computational Neuroscience & Machine Learning Neural Information Processing Group, Fakultät IV, Technische Universität Berlin and Bernstein Center for Computational Neuroscience, Berlin, Germany Salary grade E13 (TV-L Berliner Hochschulen) Duration: max. 5 years Starting date: October 1st, 2018 Working field: The successful candidate is expected to join collaborative research projects at the interface of computational neuroscience and machine learning. The position is also affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group. For more information about our current research projects see: http://www.ni.tu-berlin.de/. Requirements: Successfully completed university degree (Master, Diplom or equivalent) in Computational Neuroscience, Computer Science or another MINT subject; very good knowledge of machine learning and Computational Neuroscience; experience in teaching (supervision of tutorials) is desirable; very good German and English skills. How to apply: Please send your written application with the reference number (IV-158/18) and the usual documents to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Neuronale Informationsverarbeitung, Prof. Dr. Obermayer, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin or - preferably - by e-mail to klaus.obermayer(a)tu-berlin.de. Closing date: April 20th, 2018 To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Please send copies only. Original documents will not be returned.

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Methods in Neuroscience at Dartmouth (MIND) 2018 Computational Summer School
by Matthijs van der Meer March 23, 2018

March 23, 2018

Methods in Neuroscience at Dartmouth (MIND) 2018 Computational Summer School https://summer-mind.github.io/ July 30th - August 7th, 2018 Application Deadline: April 29th, 2018 We are delighted to welcome applications for the second annual Methods in Neuroscience at Dartmouth (MIND) Computational Summer School. The theme of this year’s summer school is Narratives and Natural Contexts. There has been renewed interest in extending the study of neural and psychological phenomena in highly controlled laboratory settings to more naturalistic paradigms that more closely reflect the rich spatiotemporal structure of the real world. Bridging this divide requires developing new experiments and analytic methods. The goal of our summer school is to provide a forum for gaining hands-on experience with some of the latest computational tools that can help gain insight into understanding how our brains process naturalistic stimuli and contexts. We will offer a mix of expertise at a broad range of spatiotemporal scales and domains (e.g. behavioral, cognitive, social; circuit, whole-brain, and social networks; etc.). In addition, we will maintain our special focus on training students to use and contribute to open-source tools, data sharing, and other “best practices” for open science. For more information, and/or to apply, please visit our website, https://summer-mind.github.io/. Please note that this year’s application deadline is April 29, 2018. You may also find information about last year’s summer school (theme: multiscale network dynamics) along with all course materials here, https://summer-mind.github.io/2017.html. We anticipate a diverse and talented mix of graduate students, postdoctoral researchers, and junior faculty will participate in the summer school, and we hope to see you this summer in Hanover! Kind regards, Luke Chang, Jeremy Manning, and Matt van der Meer Directors Jim Haxby, Thalia Wheatley, and Dan Rockmore Advisory Committee This event is sponsored by the Center for Social Brain Sciences, Center for Cognitive Neuroscience, Dartmouth Research Computing, and Neukom Institute for Computational Sciences at Dartmouth.

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Job openings at Jülich Supercomputing Centre
by Jochen Martin Eppler March 23, 2018

March 23, 2018

Dear all, at the Jülich Supercomputing Centre at Forschungszentrum Jülich, Germany, we currently have two open positions in the context of the Human Brain Project: * Scientific programmer in computational neuroscience<http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2018-061-EN…> * Senior scientific developer in computational neuroscience<http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2018-062-EN…> For details about the institute and the positions, please follow the links. Best regards, Jochen! -- Dr. Jochen Martin Eppler Phone: +49(2461)61-96653 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Brain Dynamics Toolbox for Matlab
by Stewart Heitmann March 23, 2018

March 23, 2018

Dear all, The Brain Dynamics Toolbox (http://www.bdtoolbox.org <http://www.bdtoolbox.org/>) is open-source software for simulating dynamical systems in neuroscience. It is for researchers and students who wish to explore mathematical models of brain function using Matlab. It includes a graphical tool for simulating dynamical systems in real-time as well as command-line tools for scripting large-scale simulations. Custom systems of differential equations can typically be defined in less than 100 lines of standard matlab code. The graphical interface is designed to be used as both a research tool and a teaching tool. Its hub-and-spoke architecture allows new combinations of numerical solvers and interactive plots (time plots, phase plots, bifurcation diagrams, space-time plots, etc) to be applied to any model with no additional programming effort. Version 2018a of the Brain Dynamics Toolbox has just been released and is available from http://www.bdtoolbox.org <http://www.bdtoolbox.org/> The Handbook for the Brain Dynamics Toolbox is available from https://www.amazon.com/dp/198057250X <https://www.amazon.com/dp/198057250X> The toolbox will be featured at the at the Australian Connectomics School (ACS-2018) in Melbourne, 30 May to 1 June 2018. Best Regards Stewart Heitmann & Michael Breakspear QIMR Berghofer Medical Research Institute Systems Neuroscience Group

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Now hiring: The Krembil Centre for Neuroinformatics, CAMH - Toronto, Canada
by Sean Hill March 22, 2018

March 22, 2018

The Krembil Centre for Neuroinformatics (www.krembilneuroinformatics.ca<http://www.krembilneuroinformatics.ca>) based at CAMH (www.camh.ca<http://www.camh.ca>), and fully affiliated with the University of Toronto, Canada, is hiring world-leading specialists to transform our understanding of mental health by organizing, integrating, analyzing, visualizing and modelling data across all levels of the brain —from genes to circuits to behaviour. This multimodal data is gathered across the clinical environment including genetic, epigenetic, MRI, DTI, fMRI, hd-EEG, actigraphy and electronic medical record data. Teams will employ state-of-the-art techniques including topological data analysis, machine learning and multiscale computational modeling to accelerate identification and treatment of mental health disorders. Research is performed in an open, team science environment, with an emphasis on reproducible data-driven research and a patient-centric approach. A focus on global collaboration is key to transforming our understanding of mental health and its treatment. The centre will operate as an incubator for medical technologies to identify, manage and treat mental illness, while shaping policy at national and global levels. The centre is expanding with the following openings (see http://krembilneuroinformatics.ca/apply for full details and to apply): *Independent Scientist for Computational Genomics The Independent Scientist for Computational Genomics will build and lead a team of talented bioinformatics researchers, computational biologists, and computer scientists who employ and develop state-of-the-art genetic, epigenetic and transcriptomic analyses and predictive models to provide new insights into mental health and brain disorders in a data driven way, making outcome predictors and identifying optimal intervention opportunities. *Independent Scientist for Brain Circuit Modelling The Independent Scientist for Brain Circuit Modelling will build and lead a team responsible for the development, simulation and analysis of dynamic and perturbable computational models of biophysically detailed brain circuitry (for both preclinical and human brains), integrating genetic, epigenetic and transcriptomic data, and ion channel, cellular and synaptic biophysics. The team will work in close collaboration with other groups involved in detailed biophysical modeling, e.g. the Blue Brain Project and Allen Institute for Brain Science. The team will also be responsible for curating and maintaining data, literature and models to enable data-driven modeling of brain circuitry in health and disease, in addition to the concurrent construction of atlases, development of analysis approaches and identification of biomarkers to define mental health and brain disorders in a data driven way, such as aberrant dynamical processes. *Independent Scientist for Whole Brain Modelling The Independent Scientist for Whole Brain Modelling will build and lead a team responsible for the development of dynamic and perturbable causal models of the human brain, in health and in the context of mental illness, incorporating multi-modal neuroimaging and expression data including, but not limited to, structural, functional, diffusion and spectrometry MRI, PET/CT and EEG. The team will also be responsible for the concurrent construction of atlases, development of analysis approaches and identification of biomarkers to define mental health and brain disorders in a data driven manner. *Independent Scientist for Whole Person Modelling The Independent Scientist for Whole Person Modeling will build and lead a team responsible for the development and application of predictive modeling approaches for individual citizen, patient and population trajectories and outcomes. This includes tools, pipelines and approaches for the exploration, visualization and analysis of complex high-dimensional data, with the aim of the data-driven definition of mental health and brain disorders, and the establishment of outcome predictors and identification of optimal intervention opportunities. *Independent Scientist for Brain and Health Knowledge Management The Independent Scientist for Brain and Health Knowledge Management will build and lead a team responsible for organizing and disseminating data, models and literature related to the definition and treatment of mental health disorders to support both researchers and clinicians. This team will maintain and curate ontologies of brain disorders and link to data, analyses, visualizations, literature and models supporting their definition. This clinical support platform will support reasoning and inference across definitions and datasets to bridge psychiatric and neurological disorders. *Knowledge Engineering Lead The Krembil Centre for Neuroinformatics is launching a knowledge engineering initiative to structure and map vast quantities of clinical and research data into a unified schema and develop a knowledge graph. This initiative will lay the technical foundation to support supervised and unsupervised content discovery, enable data mining, and facilitate interactive modes of engagement with our data corpus. A new Knowledge Engineering team is being established to spearhead the implementation of this initiative. This is a unique opportunity to partner with world-class researchers in the creation of unprecedented knowledge discovery tools. *Brain Imaging Data Engineer The Brain Imaging Data Engineer role will be accountable for managing and enhancing the solution for collecting, storing, curating and integrating brain imaging data sets across the organization, including, but not limited to the following modalities: MRI, PET and EEG. You will work closely with the senior architects on the technology team as well as collaborating with scientific leads. You will be accountable to evolve the technology solution to keep up with industry changes to ensure the solution remains optimal. *Molecular Data Engineer The Molecular Data Engineer role will be accountable for managing and enhancing the solution for collecting, storing, curating and integrating molecular data sets across the organization. You will work closely with the senior architects on the technology team as well as collaborating with scientific leads. You will be accountable to evolve the technology solution to keep up with industry changes to ensure the solution remains optimal. *Senior Project Manager – BrainHealth Databank The Senior Project Manager will work with multiple stakeholders both internal and external to CAMH and be responsible for the hands-on leadership and oversight for the development and execution of work plans, accountabilities, and timelines associated with the BrainHealth Databank initiative. The BrainHealth Databank platform will be specifically designed to support multidimensional phenotyping studies that combine digital phenotyping and laboratory-based data across existing and future clinical studies at CAMH. All data will be organized within the knowledge graph of the BrainHealth Databank. The platform will support configuration of studies that integrate common data elements and CRFs, wearable and mobile devices, voice samples, electronic medical record (EMR) extracts, outcome assessments and health care system usage. CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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CFP, Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems, ALife 2018
by Manuel Baltieri March 21, 2018

March 21, 2018

[Apologies for cross-posting] ********** Call for Papers ********** Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life/ <https://sites.google.com/view/hybrid-life/> 2018 Artificial Life conference (ALife) Tokyo, JAPAN, 23-27 July 2018 - http://2018.alife.org/ <http://2018.alife.org/> --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 19th March 2018 – Paper submission deadline 23rd April 2018 – Paper acceptance notification 21st May 2018 – Camera-ready version 23-27th July 2018 – Artificial Life conference (ALife), Tokyo, Japan Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the a-life community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, University of Sussex, Brighton, UK. m.baltieri(a)sussex.ac.uk <mailto:m.baltieri@sussex.ac.uk> Keisuke Suzuki, University of Sussex, Brighton, UK. k.suzuki(a)sussex.ac.uk <mailto:filippo.m.bianchi@uit.no> Hiryuki IIzuka, Hokkaido University, Sapporo, Japan hiroyukiiizuka(a)gmail.com <mailto:hiroyukiiizuka@gmail.com> Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life/ <https://sites.google.com/view/hybrid-life/> or get in touch with m.baltieri(a)sussex.ac.uk <mailto:m.baltieri@sussex.ac.uk>. All the best, -- Manuel Baltieri, EASy group Department of Informatics, University of Sussex, UK Twitter: @manuelbaltieri

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Abstract submission for Neuroinformatics 2018 in Montréal, Canada is open!
by congress March 21, 2018

March 21, 2018

Dear all, Abstract submission for Neuroinformatics 2018 in Montréal, Canada on August 9-10 is now open! 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. Neuroinformatics 2018 will be a great opportunity to introduce new participants to the field of neuroinformatics and highlight new and innovative tools and approaches. Providing a forum for infrastructure providers and developers of tools, standards, and best practices to help define the capabilities of the global network, receive training on how to participate in the Open, FAIR and Citable global network and learn how to provide better services to their constituents. *Abstract submission deadline is April 30: **neuroinformatics2018.org/abstracts <http://neuroinformatics2018.org/abstracts>* Registration will open shortly. More information: *neuroinformatics2018.org <http://www.neuroinformatics2018.org>* Please spread this information to anyone you feel would be interested in attending. *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 www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Montréal!* Best Regards The INCF Secretariat <http://www.neuroinformatics2018.org> <http://www.neuroinformatics2018.org>

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DynaSim: A MATLAB/GNU Octave Toolbox for Neural Modeling and Simulation
by Jason Sherfey March 20, 2018

March 20, 2018

Dear Colleagues, We are happy to announce the release of DynaSim, an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It was designed to speed up and simplify the process of generating, sharing, and exploring network models of neurons with one or more compartments; it is the first, comprehensive neural modeling and simulation platform developed in MATLAB. It provides C compilation, optimized vector calculations, multi-core processing, and support for compute clusters to overcome the traditionally slow simulation speeds of MATLAB. It is also available for high performance computing via the Neuroscience Gateway web portal. A paper introducing DynaSim was recently published in Frontiers in Neuroinformatics: https://www.frontiersin.org/articles/10.3389/fninf.2018.00010/full. Documentation is available online at http://dynasimtoolbox.org. We hope this tool reduces barriers for investigating dynamics in neural models, facilitates collaborative modeling, and complements other tools being developed in the neuroinformatics community. Most of all, we hope you find this toolbox useful! Please direct questions to the lead developer, Jason Sherfey < sherfey(a)mit.edu> or the user mailing list: https://groups.google.com/forum/#!forum/dynasim-users. Best regards, Jason Dr. Jason Sherfey Postdoctoral Research Fellow Psychological & Brain Sciences, Boston University Massachusetts Institute of Technology The Picower Institute for Learning & Memory http://JasonSherfey.com

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PhD/postdoc in Sensory and Behavioral Neuroscience, Gjorgjieva and Grunwald Kadow Labs in Frankfurt/Munich
by Gjorgjieva, Julijana March 20, 2018

March 20, 2018

Reminder and deadline extension: The labs of Julijana Gjorgjieva (Max Planck Institute for Brain Research, Frankfurt, Germany) and Ilona Grunwald Kadow at the TUM School of Life Sciences, Technical University of Munich, Germany invite applications for a fully-funded position (Postdoc or PhD student). We are looking for highly-motivated individuals with a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields), experience in programming and data analysis, and a desire to develop cutting-edge experimental techniques. Previous background in neuroscience, imaging or behavioral analysis is a plus! The project will examine the neural basis of need and effort-based decision-making in a collaboration between the Gjorgjieva lab, which develops theoretical models of neural circuit processing, and the Grunwald Kadow lab, which studies neural circuits underlying sensory processing and decision making in animal models. The project aims to uncover circuit principles and behavioral readouts of motivation, persistence, and value perception as a function of internal state or experience (e.g. hunger). In particular, the Grunwald Kadow lab is collecting rich data sets of behavioral trajectories of single Drosophila flies as well as functional imaging data (i.e. multiphoton and light-sheet) of neuronal populations (e.g. modulatory neurons). The project will aim to develop advanced analysis techniques that extract key statistical features of the behavioral trajectories and imaging data, and build mathematical models that reproduce the data and make new predictions to be further tested experimentally. By combining behaviour, genetics and imaging, we will also develop neural circuit models that involve several brain areas, including sensory brain areas and higher cognitive regions of the fly brain (i.e. mushroom body). References: S. Sayin J. Gjorgjieva, I. C. Grunwald Kadow (2018). A neural circuit arbitrates between perseverance and reward in hungry Drosophila. BioRxiv doi.org/10.1101/259119<http://doi.org/10.1101/259119> J. Gjorgjieva, G. Drion and E. Marder (2016). Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance. Curr Opin Neurobiol 37:44-52. Lewis L, Siju KP, Aso Y, Friedrich AB, Bulteel AJB, Rubin GM, Grunwald Kadow IC (2015). A higher brain circuit for immediate integration of conflicting sensory information in Drosophila. Current Biology PMID: 26299514, doi: 10.1016/j.cub.2015.07.015 Application: The position will be based at the Technical University of Munich, with frequent visits to the Max Planck Institute for Brain Research in Frankfurt, two of the most exciting and international cities in Germany. The application deadline has been extended to: April 15, 2018. Applicants will be considered until the position is filled. For further information please visit: http://www.cns.wzw.tum.de and http://www.neuro.wzw.tum.de or email gjorgjieva(a)brain.mpg.de and ilona.grunwald(a)tum.de. To apply, please email the following to: neuro(a)wzw.tum.de (ref. GGK application) 1. A curriculum vitae 2. A letter of motivation explaining your scientific interests, your strengths when working on a problem, why us etc. 3. Contact details for 2 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code etc. ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

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Cajal Course in Computational Neuroscience -- Deadline April 2
by Jakob Macke March 20, 2018

March 20, 2018

Dear colleagues, final reminder and line-up for the Cajal Computational Neuroscience Course in Lisbon this summer. We extended the deadline to April 2, so there is still time to apply! Best, Jakob Macke CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 12 August - 1 September 2018, Champalimaud Centre for the Unknown, Lisbon, Portugal http://www.cccn.pt Applications deadline: 2 April 2018 (midnight, CET time) DIRECTORS • Joe Paton (Champalimaud Centre for the Unknown, Portugal) • Jakob Macke (TU Darmstadt & Research Center Caesar Bonn, Germany) • Christian Machens (Champalimaud Centre for the Unknown, Portugal) Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. More information on the course website, http://www.cccn.pt Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-courses-2018/CCCN-2018/A… Contact address: Simone Zacarias, simone.zacarias(a)research.fchampalimaud.org Confirmed faculty: Matthias Bethge, University of Tübingen Kevin Briggman, Research Center Caesar, Bonn, Germany Megan Carey, Champalimaud Centre for the Unknown, Portugal Claudia Clopath, Imperial College London, UK Sophie Deneve, ENS Paris, France Rainer Engelken, Columbia University, US Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany Pedro Goncalves, Research Center Caesar, Bonn, Germany Michael Häusser, Wolfson Institute for Biomedical Research, University College London, UK Andreas Herz, Bernstein Center for Computational Neuroscience Munich, Germany Simon Laughlin, University of Cambridge, UK Gilles Laurent, Max Planck Institute for Brain Research, Germany Máté Lengyel, University of Cambridge, UK Jennifer Linden, UCL Ear Institute, UK Elliot Ludvig, Warwick University, UK Anthony Movshon, New York University, USA Maneesh Sahani, Gatsby Computational Neuroscience Unit, UCL, UK Cristina Savin, New York University, USA Jeffrey Taube, Dartmouth College, USA Eero Simoncelli, New York University, USA Tim Vogels, Oxford University, UK Byron Yu, Carnegie Mellon University, USA Jakob Macke www.mackelab.org

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postdoctoral positions in theoretical neuroscience at the Kavli Institute in Trondheim
by Yasser Roudi March 19, 2018

March 19, 2018

Postdoctoral positions in theoretical/computational neuroscience are available at the Kavli Institute for Systems Neuroscience/Centre for Neural Computation in Trondheim, Norway. The position(s) is a part of the Kavli Institute for Systems Neuroscience. The Centre for Neural Computation is a recently established centre of excellence funded for 10 years by the Norwegian Research Council. We offer an international and multidisciplinary environment in which creativity and scientific discourse is valued and stimulated. Through our widespread network of international collaborations, unique career possibilities are offered. See http://www.ntnu.no/cbm/ for detailed information. The position will be part of the group headed by Professor Yasser Roudi. The position/s will be for 2 years. The successful applicant will take part in mainly independent research in theoretical neuroscience and statistical inference within the Roudi group. The specifics of the projects are up to agreement and discussion and new and novel ideas are highly welcome. Developing models of grid cells and their interactions with hippocampus as well as analysis of neural data from these areas will be one possible directions of research that can be taken during the tenure of the position. For more Information and details about how to apply please see https://www.jobbnorge.no/ledige-stillinger/stilling/149615/post-doc-kavli-i…

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FENS Satellite Meeting on "Receptive Fields: Analysis, Models and Applications": 6 July 2018 - applications open
by Anthony Burkitt March 18, 2018

March 18, 2018

Dear Colleagues, I would like to draw your attention to the FENS Satellite Meeting on "Receptive Fields: Analysis, Models and Applications", to be held on 6th July 2018. Applications are open at the Workshop website: fenscibf2018.eventbrite.com.au<http://fenscibf2018.eventbrite.com.au> RECEPTIVE FIELDS: ANALYSIS, MODELS AND APPLICATIONS At this FENS satellite meeting, eight world-leading researchers will discuss the latest advances on the formation and analysis of visual receptive fields and place maps, bringing together insights and discoveries from around the world. Topics will include state-of-the-art experimental and computational approaches to receptive field analysis, visual pathways, place maps and adaptation to the statistics of the visual environment. KEYNOTE SPEAKERS: • Tatyana Sharpee SALK Institute, USA • Michael Ibbotson National Vision Research Institute, Australia • Yves Fragnac CNRS, France • Jose-Manuel Alonso State University of New York, USA • TR Vidyasagar University of Melbourne, Australia • Dirk Jancke Ruhr University, Germany • Elizabeth Zavitz Monash University, Australia • Simon Schultz Imperial College, UK MEETING DETAILS DATE: Friday, 6 July 2018 TIME: 9am – 5pm CEST / Germany (Berlin) Time VENUE: Hotel NH Collection Berlin Friedrichstraße, Friedrichstraße 96, 10117 Berlin, Germany COST: Early bird fee by 6 April 2018 - €30 ; Standard fee by 22 June 2018 - €50 ; Registration includes refreshments, lunch and snacks. REGISTER HERE URL: fenscibf2018.eventbrite.com.au<http://fenscibf2018.eventbrite.com.au> CONTACT Email: Tenille Ryan (tryan(a)aco.org.au<mailto:tryan@aco.org.au>)

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Failures of adaptively timed hippocampal learning during memory consolidation and Fragile X syndrome
by Grossberg, Stephen March 17, 2018

March 17, 2018

The following two articles model how failures of adaptively timed learning and incentive motivational support by hippocampus (i.e., failure of “time cells”) can cause clinical problems in memory consolidation and Fragile X syndrome: ***************** Franklin, D. J., and Grossberg, S. (2017). A neural model of normal and abnormal learning and memory consolidation: Adaptively timed conditioning, hippocampus, amnesia, neurotrophins, and consciousness. Cognitive, Affective, and Behavioral Neuroscience, 17, 24-76. http://link.springer.com/article/10.3758/s13415-016-0463-y This article explains and simulates the kinds of data that many cognitive neuroscientists have reported after the famous case of the amnesic patient HM; namely, how, after some learning occurs, early vs. late lesions of amygdala, hippocampus, or orbitofrontal cortex can cause very different memory consolidation problems. ***************** Grossberg, S., and Kishnan, D. (2018). Neural dynamics of autistic repetitive behaviors and Fragile X syndrome: Basal ganglia movement gating and mGluR-modulated adaptively timed learning. Frontiers in Psychology, Psychopathology. https://doi.org/10.3389/fpsyg.2018.00269. This article explains how Fragile X syndrome can be caused when mGluR-mediated adaptively timed hippocampal learning and support of motivated attention fail.

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Call for papers - Special issue on Operations Research for Neuroscience II
by Ruben A. Tikidji-Hamburyan March 15, 2018

March 15, 2018

Dear Colleagues, ~~~ Apologies for cross-posting ~~~ We are happy to announce a second special issue on Operations Research for Neuroscience. The special issue will be published in the journal Annals of Operations Research, Springer. We strongly encourage the submission of manuscripts which propose further developments of modern formal theories (such as the free-energy principle, integrated information, Bayesian inference, etc). The use of methods from modern operations research in neuroscience is a prerequisite for any paper submitted to this special issue to enter the reviewing process. Submission deadline: December 1, 2018 Please find the CfP as plain text below or as a pdf file here: CfP - ANOR SI OR for Neuroscience <https://sites.google.com/site/rubentikidjihamburyan/research/CfP-ANOR_SI_OR…> Best, Ruben ____________________________________________________ ― Call for Papers ― Annals of Operations Research Special Issue Operations Research for Neuroscience II ____________________________________________________ After the positive and encouraging response from the scientific and wider community to the special issue Operations Research for Neuroscience, the journal Annals of Operations Research (Springer) now invites submissions of papers to a second special issue on the same subject, called Operations Research for Neuroscience II. Neuroscience, a multidisciplinary science, is concerned with the study of the structure and functions of the nervous system. It comprises aspects of physiology, cellular and molecular biology, as well as behavioral and cognitive science. Recent technological and theoretical advances offer promising opportunities for better understanding of the nervous system at the quantitative level. New optogenetic, in vitro and in vivo multielectrode recording, neuroimaging, brain imaging, and other modern techniques provide high-quality data that can be used in elucidating the fundamental mechanisms of information processing in the nervous system. The rapidly growing pool of experimental data has triggered the development of new mathematical models that can provide new insights into the functioning of the nervous system at various scales, ranging from that of molecular biology to that of the organizational principles of behavior and cognition. Sophisticated analyses of intracellular signaling or dynamics in heterogeneous neural networks, conditional behavior, or connections of brain regions in decision-making lead to theoretical problems, addressed by operations research. Although, operations research is actively used in bottom-up approaches--from experimental observation to consistent theory-- it also widely overlaps modern and rapidly developing formal theories, for example the free-energy principle, integrated information theory, and may others. The special issue will cover a broad range of topics in the field of neuroscience using operations research approaches, methods, and theories. Potential topics include, but are not limited to, the following areas and methodologies of neuroscience: o intracellular signaling and regulation o synaptic plasticity o dynamics in heterogeneous neural networks o intelligent systems and control o perceptual, cognitive, and behavioral functions o learning and memory o spatio-temporal network analysis o behavioral economics and finance o linguistics and cognition o combinatorial optimization o signal and information processing o neuroimaging and functional brain imaging processing o computational modeling and simulation o formal theoretical approaches: the free-energy principle, integrated information, Bayesian inference, etc. The use of methods from modern operations research in neuroscience is a prerequisite for any paper submitted to this special issue to enter the reviewing process. Annals of Operations Research is abstracted and indexed in the following databases: Science Citation Index, Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Zentralblatt Math, Google Scholar, EBSCO, CSA, ProQuest, ABS Academic Journal Quality Guide, Academic OneFile, Academic Search, Computer Abstracts International Database, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, ECONIS, Expanded Academic, International Abstracts in Operations Research, Mathematical Reviews, OCLC, SCImago, STMA-Z, Summon by ProQuest. The Special Issue is officially endorsed by EURO Conference 2018, Valencia. Guest Editors: Erik Kropat, Ruben A. Tikidji-Hamburyan, Gerhard-Wilhelm Weber Important Date: Submission deadline of full papers: December 1, 2018. Submission Details: The format of manuscripts for the Annals of Operations Research as well as guidelines can be found on the web page of Springer, the publisher of the journal: http://www.springer.com/journal/10479/submission. Authors should submit a cover letter mentioning that the paper is for a special issue and a manuscript via the journal's online submission site: http://www.editorialmanager.com/anor. When prompted, please select the article type “S.I.: OR in Neuroscience II”. All papers submitted for publication will be carefully refereed. In case of any question please contact by e-mail one of the following guest editors: Dr. Erik Kropat Department of Computer Science Universität der Bundeswehr München Werner-Heisenberg-Weg 39 85577 Neubiberg, Germany E-mail: erik.kropat(a)gmx.de Dr. Ruben A. Tikidji-Hamburyan Department of Cell Biology and Anatomy Health Sciences Center, Louisiana State University New Orleans, Louisiana 70112, USA E-mail: rtikid(a)lsuhsc.edu Prof. Dr. Gerhard-Wilhelm Weber Faculty of Engineering Management Chair of Marketing and Economic Engineering Poznan University of Technology ul. Strzelecka 11 60-965 Poznan, Poland E-mail: gerhard.weber(a)put.poznan.pl

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ACT-R Summer School application deadline approaching
by db30＠andrew.cmu.edu March 15, 2018

March 15, 2018

The deadline for applications, April 15th, is now only one month away. 2018 ACT-R Summer School and Master Class Carnegie Mellon University July 9-13, 2018 ACT-R is a unified theory of cognition that has been implemented in a software system called a cognitive architecture that can be used to develop computational cognitive models. It has been applied to modeling tasks that range from experimental tasks like simple reaction time and list learning, to real world tasks like driving a car and air traffic control. The 2018 ACT-R Summer School will take place at CMU in Pittsburgh from July 9-13. It consists of both a Summer School for beginning users and a Master Class for more experienced users. The Summer School will train researchers in the use of ACT-R for cognitive modeling using the ACT-R tutorial. Each day will consist of a morning theory lecture covering one or two tutorial units, an afternoon discussion session on the topics of the day, and modeling assignments which participants are expected to complete during the day and evening. The Master Class is organized in parallel with the Summer School. The Master Class offers the opportunity for ACT-R modelers to work on their own projects with guidance from experienced ACT-R researchers. There is no curriculum for the Master Class, but Master Class students are welcome to attend the Summer School lectures and discussion sessions. To provide an optimal learning environment, admission to the Summer School and Master Class will be limited. To apply for the Summer School, please email a curriculum vitae and a statement of purpose to db30(a)andrew.cmu.edu. Demonstrated experience with a modeling formalism similar to ACT-R will strengthen a Summer School application. To apply for the Master Class please email a curriculum vitae along with some information about your level of experience with ACT-R and some details on the project you expect to work on during the Master Class. Applications are due by April 15th and applicants will be notified of admission by April 30th. Admission to the Summer School and Master Class is free. Housing will be available in the CMU dormitories for approximately $65/day (single) or $50/day (shared). More information about ACT-R, including papers published by the ACT-R community, can be found on the ACT-R web site: <http://act-r.psy.cmu.edu/>. For more information on the Summer School and Master Class you can email Dan Bothell at db30(a)andrew.cmu.edu.

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Call for papers - Special issue on Brain-Computer Interfaces for Human Augmentation
by Davide Valeriani March 15, 2018

March 15, 2018

Dear all, I thought some of you might be interested in contributing to this special issue of Brain Sciences about BCI for human augmentation. The deadline for manuscript submissions is *30 April 2018*. Please do get in touch if you are interested. More info at: *http://bit.ly/bcihuman <http://bit.ly/bcihuman> *or http://www.mdpi.com/journal/brainsci/special_issues/Brain_Computer_Interface P.S. Apologies for cross-posting. Best regards, Davide -- *Dr Davide Valeriani* Senior Research Officer BCI-NE Lab University of Essex *E* dvaler(a)essex.ac.uk *W* www.davidevaleriani.it

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CFP: The OMG-Emotion Recognition Challenge
by Pablo Barros March 15, 2018

March 15, 2018

CALL FOR PARTICIPATION The One-Minute Gradual-Emotion Recognition (OMG-Emotion) held in partnership with the WCCI/IJCNN 2018 in Rio de Janeiro, Brazil. https://www2.informatik.uni-hamburg.de/wtm/OMG-EmotionChallenge/ I. Aim and Scope Our One-Minute-Gradual Emotion Dataset (OMG-Emotion Dataset) is composed of 420 relatively long emotion videos with an average length of 1 minute, collected from a variety of Youtube channels. The videos were selected automatically based on specific search terms related to the term ``monologue''. Using monologue videos allowed for different emotional behaviors to be presented in one context and that changes gradually over time. Videos were separated into clips based on utterances, and each utterance was annotated by at least five independent subjects using the Amazon Mechanical Turk tool. To maintain the contextual information for each video, each annotator watched the clips of a video in sequence and had to annotate each video using an arousal/valence scale and a categorical emotion based on the universal emotions from Ekman. We release the dataset with the gold standar for arousal and valence as well the invidivual annotations for each reviewer, which can help the development of different models. We will calculate the final Congruence Correlation Coefficient against the gold standard for each video. We also distribute the transcripts of what was spoken in each of the videos, as the contextual information is important to determine gradual emotional change through the utterances. The participants are encouraged to use crossmodal information in their models, as the videos were labeled by humans without distinction of any modality. We also will let available to the participant teams a set of scripts which will help them to pre-process the dataset and evaluate their model during in the training phase. We encourage the use of neural-computation models based on deep learning, sel-organization and recurrent neural networks, just to mention some of them, as they present the sate-of-the-art performance in such tasks. II. How to Participate To participate, please send us an email to barros(a)informatik.uni-hamburg.de with the title "OMG-Emotion Recognition Team Registration". This e-mail must contain the following information: Team Name Team Members Affiliation Each team can have a maximum of 5 participants. You will receive from us the access to the dataset and all the important information about how to train and evaluate your models. For the final submission, each team will have to send us a .csv file containing the final arousal/valence values for each of the utterances on the test dataset. We also request a link to a GitHub repository where your solution must be stored, and a link to an ArXiv paper with 4-6 pages describing your model and results. The best papers will be invited to submit their detailed research to a journal yet to be specified. Also, the best participating teams will hold an oral presentation about their solution during the WCCI/IJCNN 2018 conference. III. Important Dates Publishing of training and validation data with annotations: March 14, 2018. Publishing of the test data, and an opening of the online submission: April 11, 2018. Closing of the submission portal: April 13, 2018. Announcement of the winner through the submission portal: April 18, 2018. IV. Organization Pablo Barros, University of Hamburg, Germany Egor Lakomkin, University of Hamburg, Germany Henrique Siqueira, Hamburg University, Germany Alexander Sutherland, Hamburg University, Germany Stefan Wermter, Hamburg University, Germany -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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Faculty position in Math Biology at NJIT
by Victor Matveev March 14, 2018

March 14, 2018

Dear comp-neuro list members, The Department of Mathematical Sciences (DMS) at New Jersey Institute of Technology (NJIT) invites applications for a tenure-track position at the assistant professor level in mathematical biology. A second DMS tenure-track assistant professor position in the broader area of applied mathematics is advertised separately (links provided below). The appointment is to start in Fall 2018. Candidates should have a Ph.D. in mathematics, applied mathematics or a related discipline, with an established record of independent research, strong potential for seeking external research support, and a commitment to teaching at graduate and undergraduate levels. Candidates working in any subfield of mathematical biology will be given consideration. Currently, members of the DMS mathematical biology group are engaged in research in computational neuroscience, biological rhythms, biofluids and mechanosensing. To apply, please visit https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=35 The second position in applied mathematics is advertised separately at https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=30 Submissions must include (a) cover letter, (b) resume/CV, (c) research statement, (d) teaching statement, and (e) names and contact information for at least four references. Review of applications will begin immediately and will continue until the position is filled. Please direct any questions to the search committee chair, Victor Matveev, at matveev(a)njit.edu. DMS is recognized for its strong program in applied mathematics, which offers B.S., M.S., and Ph.D. degrees, with Ph.D. program tracks in applied mathematics as well as in applied probability and statistics. NJIT is in the University Heights neighborhood next to vibrant downtown Newark, about 12 miles west of New York City. The NJIT campus is adjacent to the campus of Rutgers-Newark, with which it shares several academic programs. DMS has close collaborative ties to the Department of Biological Sciences at NJIT. Excellent potential for outside collaboration is also afforded by the close geographic proximity of NJIT to other prominent centers for biological research such as the Center for Molecular and Behavioral Neuroscience at Rutgers-Newark, New Jersey Medical School, NYU, Columbia University, and Rockefeller University. Apart from mathematical biology, DMS faculty work in diverse fields of applied mathematics including fluid dynamics, granular matter, nonlinear waves, applied analysis, scientific computing, dynamical systems, and probability and statistics. NJIT is an Equal Opportunity / Affirmative Action Employer and strongly encourages women, minorities, and persons with disabilities to apply. -- ___________________________________ Victor Matveev, Professor Applied Math, Biophysics & Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

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Call for contributions: Grenoble Workshop on Models and Analysis of Eye Movements, June 06-08 2018
by Simon Barthelmé March 14, 2018

March 14, 2018

Grenoble workshop on models and analysis of eye movements: June 06-08 2018 Eye movements are easy to acquire and highly valuable for the study of cognitive processing. Their analysis presents interesting statistical challenges: scanpaths are complex spatiotemporal signals with relevant information at different spatial and temporal scales, from microsaccades to fixation patterns. The goal of this workshop is to bring together researchers who develop and use models to understand eye-movement data. We welcome contributions on all aspects of eye movement modelling and analysis, from saliency prediction to latent state models. Possible forms of contribution are: oral presentation, poster or demonstration. Deadline for abstract submission: April 22 2018 Deadline for registration: May 13 2018 Invited speakers: - Antje Nuthmann, University of Kiel - Yulia Sandamirskaya, University of Zurich & ETH - Jean Lorenceau, CNRS, LSP, ENS - Jean-Michel Boucheix, LEAD-CNRS, Université de Bourgogne Franche-Comté Location: Grenoble is the largest city in the French Alps, with a large and vibrant academic community. It is easy to get to, with two major airports (Lyon & Geneva) in the vicinity and a TGV connection to Paris. More information and registration at: eyemovements.sciencesconf.org

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Bernstein Conference 2018 - Call for Workshops - New Deadline: March 28, 2018, 3 pm CET
by Kerstin Schwarzwaelder March 14, 2018

March 14, 2018

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2018 in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 25 - 26, 2018 Main Bernstein Conference: September 26 - 28, 2018 New Deadline for Satellite Workshop proposal submission: March 28, 2018, 3 pm CET Notification of Workshop acceptance: April 2018 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The selection criteria for Workshop proposals will include scientific excellence, topical relevance and gender diversity. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Satellite Workshop schedule: September 25, 2018, 2:00 pm - 6:30 pm September 26, 2018, 8:30 am - noon Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs – FINANCIAL SUPPORT: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Up to 10 selected workshops can receive financial support up to 1.500,00 € each. Coffee break catering will be provided. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSAL PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment 4) Optional: a comment on how the organizers plan to achieve gender diversity among speakers Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2018/satellite-workshops New Deadline for submission of Workshop proposals: March 28, 2018, 3 pm CET CONTACT: bernstein.network(at)fz-juelich.de We are looking forward to seeing you in Berlin! WORKSHOP SELECTION COMMITTEE: Jakob Macke (Workshop Chair) Tatjana Tchumatchenko (Workshop Vice Chair) Axel Borst Nicolas Brunel Anne Churchland Claudia Clopath Gaute Einevoll Adrienne Fairhall Gilles Laurent (Program Chair) Mate Lengyel Elad Schneidman Susanne Schreiber (Program Vice Chair) Terry Sejnowski Henning Sprekeler (Conference Host) Fred Wolf -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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University of Melbourne - LECTURER (5 Positions; Female Applicants Only)
by Uwe Aickelin March 14, 2018

March 14, 2018

Dear Colleagues, International Women’s Day provided us with the opportunity to reflect upon the diversity within our School. The Melbourne School of Engineering has 182 women academic staff, but this represents just 22 per cent of our total academic numbers. We are committed to remedying this imbalance and lifting the representation of women to 30 per cent by 2022. To help enact this change, I’m pleased to announce five new continuing positions that we are making available to women of exceptional calibre, in all fields of engineering, computing and information systems. The five positions are across the School and we are accepting applications from all related areas. To view complete position descriptions, click here<http://jobs.unimelb.edu.au/caw/en/job/894257/lecturer-5-positions-female-ap…>. These positions are a key component of a broad suite of programs we have implemented at MSE that are aimed at increasing the recruitment, retention and promotion of women. Successful appointees will be given the opportunity to play a significant role in realising the industry engagement targets of MSE 2025, develop internationally recognised research portfolios, establish funding streams to support these portfolios, and to enhance interdisciplinary research within and outside the University, whilst contributing to teaching and curriculum development within MSE. Applications for part-time or other flexible working arrangements will be welcomed and will be fully considered subject to meeting the inherent requirements of the position. Close date: 8 Apr 2018 Uwe Aickelin -------------------------------------------------------------------------------------------------------------- Professor Uwe Aickelin – Head of School School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building University of Melbourne, Victoria 3010, Australia T. +613 8344 3635 E: uwe.aickelin(a)unimelb.edu.au <mailto:uwe.aickelin@unimelb.edu.au> W: http://aickelin.com<http://aickelin.com/>

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Translational Neurophysiology - RA, Postdoc, or Staff Scientist
by Platt, Jo Ann March 13, 2018

March 13, 2018

The Translational Neurophysiology Laboratory at the Center for Bioelectronic Medicine, headed by Assistant Professor Stavros Zanos MD PhD, focuses on physiological and translational research and development of bioelectronic devices and therapies in small (rodents) and large animal (swine) models. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, acute and chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will be involved in the development of novel paradigms to record from and adaptively modulate the function of the central and peripheral nervous system (brain, spinal cord, ganglia, peripheral nerves) in rodents, in healthy animals and in disease models. Mouse and rat stereotaxic brain surgery Extracellular and/or intracellular in vivo neurophysiology Histology, tract tracing Optogenetics Optical imaging Autonomic physiology Keywords : neurophysiology, small animal, rodent, recording, stimulation, brain, peripheral nerves, chronic implants, surgery, optogenetics, optical imaging, autonomic nervous system Qualifications : Doctorate degree (Ph.D, M.D. or D.V.M.), required (MSc for research associate candidates) Authored/co-authored research papers and/or scientific abstracts, required. Research experience in rodent neurophysiology, required. In vivo optical imaging and optogenetic stimulation experience, preferred. Knowledge of data analysis software (e.g. Matlab), preferred. Send email including cover letter, CV and publications to: jojoplatt(a)theplattassociates.com The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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M-GATE School: Under the Surface of Memory Phenomena
by Alessandro Treves March 12, 2018

March 12, 2018

TEX2018, the Cognitive Neuroscience summer activity at SISSA, Trieste will host this year "Under the Surface of Memory Phenomena", a school https://indico.sissa.it/e/tex2018/ organized by the M-GATE Innovative Training Network (https://www.mgate.eu/) open to other participants, from June 25 to July 3 2018. Apply now for 10-night accommodation, at cost (340 Euro), or register for self-organized participation (within space constraints), and join us also for the in-set symposium Remembering Daniel Amit, and Beyond! Deadline for applications April 2. Clever inquiries from tex(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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MBL Methods in Computational Neuroscience Course - deadline March 20
by Stephen A. Baccus March 12, 2018

March 12, 2018

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 24, 2018, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 20*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2018 Course Directors: Stephen Baccus, Stanford University Xiao-Jing Wang, New York University 2018 Confirmed Faculty: Larry Abbott, Columbia University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Institute Claudia Clopath, Imperial Col. London Kenji Doya, Okinawa Inst. Sci. Tech. Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Mark Goldman, UC Davis Kenneth Harris, U. College London James Haxby, Dartmouth University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Jonathan Pillow, Princeton University David Redish, U. Minnesota Terry Sejnowski, Salk Institute Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind Hongkui Zeng, Allen Institute

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New NSF funding opportunity
by Tuller, Betty K. March 12, 2018

March 12, 2018

APOLOGIES FOR MULTIPLE POSTINGS A new solicitation has been posted that might be of interest. It’s called The Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities” (https://nsf.gov/funding/pgm_summ.jsp?pims_id=505528&org=NSF&sel_org=NSF&fro…) and is one of NSF’s “Ten Big Ideas.” For FY2018, there are two main themes: 1) Foundations for Augmenting Human Cognition 2) Embodied Intelligent Cognitive Assistants Letters of Intent are due April 16 and Full proposals are due June 4. Please take a look at the solicitation. Our sciences have a lot to say in this domain. Betty Tuller, Ph.D. Director, Program in Perception, Action, and Cognition National Science Foundation 2415 Eisenhower Avenue Alexandria, VA 22314 Tel: 703.292.7238 Fax: 703.292.9068 The PAC program has additional requirements for submission: http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5686. A new Proposal and Award Policies and Procedures Guide is now available at http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf18001<http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf16001>

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PhD position in neuroscience available immediately (Italy/USA)
by Carlos Andres Mendez Guerrero March 12, 2018

March 12, 2018

*PhD Position in neuroscience available immediately* A new European Research Council (ERC) Consolidator grant starts at the University of Torino, Italy, for 5 years (~ 2 million euros). The grant “LIGHTUP – Turning the cortically blind brain to see” is awarded to prof. Marco Tamietto (www.marcotamietto.com) The project investigates the neural correlates of visual awareness and of non-conscious vision in patients with *blindsight* and in non-human primates (macaques) with V1 destruction. To this aim, a broad range of methods will be used, including 3T and 7T (f)MRI, neurophysiological recordings and brain stimulation (TMS). The project is embedded in an outstanding international and interdisciplinary context, including the University of Oxford, UK, Tilburg University (NL) and NIH (USA), with granted access to their excellent facilities. We offer a full-time PhD Student post for 4 years. Applications of highly motivated candidates with interests in systems neuroscience, vision sciences and neuroimaging are welcomed. The successful applicant will be appointed by the University of Torino (Ita), but he/she will be expected to spend a significant amount of time at the NIH in Bethesda (USA). For more details (salary, requirements, contact..) please visit the laboratory website: http://www.marcotamietto.com

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Two open positions in circadian patterning of neural activity
by Meredith, Andrea March 6, 2018

March 6, 2018

Postdoctoral Positions Available in Electrophysiology and Imaging Two positions are available in the lab of Dr. Andrea Meredith, at the University of Maryland School of Medicine, to study the circadian patterning of neuronal activity. We are seeking a highly motivated team-players to contribute to our studies of the circadian regulation of intrinsic excitability and intracellular signaling in the suprachiasmatic nucleus (SCN) of the hypothalamus, the brain's intrinsic 'clock.' One project is an NIH BRAIN Initiative<https://www.braininitiative.nih.gov/>-funded study involving high resolution imaging with novel FRET-based sensors to record rhythmic signals in SCN neurons and the circuit. Other projects involve deciphering the biophysical mechanisms that contribute to circadian regulation of membrane excitability by the large conductance Ca2+-activated BK channel and other ion channels (see Nature Neuroscience 9:1041<https://www.nature.com/articles/nn1740>, 2006; Nature Communications 7:10837<https://www.nature.com/articles/ncomms10837>, 2016; and Journal of General Physiology 15:259<http://jgp.rupress.org/content/150/2/259.long>, 2018). The Meredith Lab (http://meredithlab.org) is focused on understanding the mechanisms that contribute to circadian regulation of membrane excitability and daily oscillations in action potential activity in the SCN circuit, using techniques such as voltage- and current-clamp, multi-electrode array recordings, imaging, molecular biology, transgenics, and in vivo telemetry. Requirements: We are seeking candidates with a PhD in neuroscience, biophysics, physiology, or other relevant field. Experience with electrophysiological recordings or imaging is required. Excellent oral and written communication skills (fluent in English) required. To apply: Please send by email to Dr. Andrea Meredith (ameredith(a)som.umaryland.edu<mailto:ameredith@som.umaryland.edu>) with: - your CV - a letter describing your research accomplishments, expertise, and career goals - contact information for three references The Department of Physiology (http://medschool.umaryland.edu/physiology) offers outstanding research and NIH-funded postdoctoral training opportunities. The University of Maryland School of Medicine, located in downtown Baltimore, is the oldest public medical school in the U.S. and the founding campus of the University of Maryland system. The School of Medicine ranks 6th among all 76 public medical schools. ___________________________________________________________ Andrea Meredith, PhD Associate Professor Dept. of Physiology and Program in Neuroscience University of Maryland School of Medicine 655 W. Baltimore Str. BRB 5-002 Baltimore, MD 21201 410-706-5991<tel:410-706-5991> office ameredith(a)som.umaryland.edu<mailto:ameredith@som.umaryland.edu> http://meredithlab.org<http://meredithlab.org/>

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6th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2018)
by Marja-Leena Linne March 6, 2018

March 6, 2018

6th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2018) Understanding the Brain: from Neuroscience to Deep Learning Place: Ventspils University of Applied Sciences Inženieru 101, Ventspils Latvia Time: 11-13 June 2018 More information and applications at: web.lsmuni.lt/bnni2018/en<http://web.lsmuni.lt/bnni2018/en> Important dates: 2 April 2018: Application deadline 15 April 2018: Acceptance notification 11-13 June 2018: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2018 to be held at the Ventspils University of Applied Sciences, Ventspils, Latvia in 11-13 June 2018. The course is interdisciplinary and covers modeling at different levels of organization of the brain. Additionally this year's training course is planned more diverse and will include also EEG/SEEG signal processing techniques, forward and inverse modeling of the brain and various aspects of deep learning algorithms. This school is the sixth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland, BNNI 2017 in Kaunas, Lithuania). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes: Marja-Leena Linne, Tampere University of Technology, Finland; The Human Brain Project Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Gaute Einevoll, UiO Department of Physics The Faculty of Mathematics and Natural Sciences, Norway Radu Ranta, CRAN, University of Lorraine, France Louis Maillard, CHRU Hôpital central - Nancy, CRAN, University of Lorraine, France Janis Hofmanis, Smart Technology Research Center, Ventspils University of Applied Sciences, Ventspils, Latvia and others. Venue The lectures will be held at the Ventspils University of Applied Sciences, Inženieru 101, Ventspils, Latvia. Practical arrangements There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. Although Student accommodation will be available at a reduced cost. Ventspils University of Applied Sciences can provide a student dormitory rooms - 2 students per room, 2 rooms per block. One block costs 51 EUR (12,75 EUR for one person per night). We are looking forward to welcome you at the BNNI 2018 in Ventspils, Latvia!

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