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PhD at CerCo, Toulouse, France
by Timothée Masquelier June 20, 2017

June 20, 2017

Beating Roger Federer: *Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device* *Goal: *PhD grant. *When:* starting from September 2017 (date may be flexible to some extent) *Topic:* How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system – based on FPGA circuits and ARM processor – an artificial neural networkwhich would replicate – and perhaps beat – the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. *The project is funded by a French National Research Agency (ANR)*, involving two sites and several researchers: - Robin Baurès, Benoit Cottereau, Timothée Masquelier and Simon Thorpe, CerCo, Toulouse. - Michel Paindavoine, GST, Dijon. *Where: *The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. *Tasks:* - Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. - VHDL coding to implement these numerical filters into the FPGA circuits of the cameras - C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system - Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball’s trajectories *Required skills:* - Strong knowledge on electronic, and openness to computational neurosciences - Knowledge in signal-image processing, and artificial neural network - Interest for multidisciplinary research - Ability to turn smoothly autonomous, once the road has been set - Ability to be at the interface of two scientific fields and two working areas - Programming with Matlab and/or Python for simulating the neural network - Programming in VHDL language for FPGA circuits - Programming in C/C++ language for porting the algorithms on ARM microprocessors - French is not a requirement if fluent in English, but willingness to learn would be beneficial *Citizenship Eligibility:* We discourage Iranian students to apply, since most likely the CNRS will not accept them for security/defense reasons, unfortunately. *Relevant publications for the project:* - Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5),1259-1276. - Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. - Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. - SmartNeuroCam by GST : https://gsensing.eu/fr/ category/sections/products *Contact:* *Robin Baurès, PhD* Associate Professor CerCo, Université Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 – France Office phone: 0033 (0)5 62 74 62 15 <05%2062%2074%2062%2015> Email : robin.baures(a)cnrs.fr *Pr Michel Paindavoine* GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine(a)gsensing.eu -- Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/

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PhD student candidate, “Multi-scale epileptic networks”
by Paolo Bonifazi June 15, 2017

June 15, 2017

Thank you for your attention - I apologize for possible multiple posting. At the Biocruces Health Research Institute (Bilbao, Spain) we are looking for a PhD student to develop and carry on a project entitled “Multi-scale epileptic networks”, financed by the Spanish Ministry (MINECO) and leaded by Dr. Paolo Bonifazi (Ikerbasque Tenure Track Researcher at Biocruces, member of the Computational Neuroimaging laboratory leaded by Prof. J. Cortes; http://www.jesuscortes.info) in collaboration with the Cruces University Hospital (Bilbao, Spain), the Ruber International Hospital (Madrid, Spain) and the University of Bari (Italy; Dr. S. Stramaglia). The project, aimed at studying longitudinally the multi-scale topology of human epileptic networks, combines electrophysiological data recorded through deep electrodes (implanted in epileptic patients undergoing surgery), with functional and diffusion MRI (acquired before the electrodes implant and post surgery after about six and twelve months). Depending on the interest of the candidates, the project might also involve epileptic animal model studies (using optogenetics, in-vivo electrophysiology and/or high field MRI, in collaboration with other local research institutions). The motivated Spanish or International candidates, possibly with a background in either Physics, Mathematics, Computer Science or Engineering, should contact as soon as possible (best if within Wednesday the 20th of June) Dr. Paolo Bonifazi (paol.bonifazi(a)gmail.com or paolo.bonifazi(a)osakidetza.eus) for detailed information. The PhD fellowship (for a maximum of 4 years) is funded by the Basque Government and the Ikerbasque Foundation (http://www.ikerbasque.net/) Deadline for the PhD fellowship application is 2nd of July. ==================== Paolo Bonifazi, PhD Ikerbasque Tenure Track Researcher Computational Neuroimaging Laboratory Biocruces Health Research Institute Hospital Universitario Cruces Plaza de Cruces, s/n E-48903. Barakaldo, Spain Tel +34 94 600 6000 (ext. 5298) Email: paol.bonifazi(a)gmail.com; paolo.bonifazi(a)osakidetza.eus http://www.ikerbasque.net/paolo-bonifazi

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Call for Abstracts: Bernstein Conference 2017
by Zrinka Gattin June 14, 2017

June 14, 2017

*Call for Abstracts: Bernstein Conference 201**7* * **New deadline for abstract submission:* June 28, 2017 for abstracts aimed as contributed talks and posters July 31, 2017 abstracts aimed as posters only ************************************************************** Satellite Workshops September 12-13, 2017 Main Conference September 13-15, 2017 PhD Symposium September 12 & 15, 2017 ************************************************************** The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. This year the conference is organized by the Bernstein Center for Computational Neuroscience Göttingen. The main conference (Sep 13-15, 2017) will be accompanied by satellite workshops (Sep 12-13, 2017) and a PhD symposium (Sep 12 & 15, 2017). An important part of the main conference will be the two poster sessions. We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). *DETAILS FOR ABSTRACT SUBMISSION:* Please note that the submission of an abstract does not replace the conference registration (www.bernstein-conference.de/registration <http://www.nncn.de/de/bernstein-conference/2017/registration>). Poster space is limited and early submission is encouraged. For abstract submission visit: www.nncn.de/en/bernstein-conference/2017/abstracts <http://www.nncn.de/de/bernstein-conference/2017/abstracts> *ABSTRACT SUBMISSION DEADLINES:* Posters to be considered as contributed talks: June 28, 2017 Other posters: July 31, 2017 *TRAVEL GRANTS* To support the participation of young researchers at the Bernstein Conference, the Bernstein Coordination Site offers 10 Travel Grants, each endowed with 500 €. Please find further information under www.nncn.de/en/bernstein-conference/2017/travel-grant <http://www.nncn.de/de/bernstein-conference/2017/travel-grant> *CONFERENCE DETAILS:* Conference registration is *OPEN* Early registration deadline: July 09, 2017 *ACCOMMODATION AND HOTEL RESERVATION:* *We strongly recommend early room booking!* *The number of available accommodation is limited due to several concurrent events. And many Hotels in Göttingen are already booked out for that week!* We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). Many expiration dates are already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. *We emphasize that it will be very difficult to book accommodation beyond the expiration dates. * Please find a list of the hotels at our Accommodations Website. VENUE Satellite Workshops, Main Conference and PhD Symposium: The Central Lecture Hall (ZHG), Platz der Göttinger Sieben 5, 37073 Göttingen, Germany VENUE Public Lecture: Alte Mensa, Wilhelmsplatz 1, 37073 Göttingen, Germany, September 13, 2017, 8 pm For more information on the conference, please visit the websitehttp://www.bernstein-conference.de We are looking forward to welcoming you in Göttingen! Program chair: Fred Wolf Koordinator: Zrinka Gattin Co-Organizers: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail:zrinka@nld.ds.mpg.de

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Chair and Director in Neural Computation Research Group - University of Nottingham
by Stephen Coombes June 14, 2017

June 14, 2017

Dear all, The University of Nottingham is looking to appoint an outstanding individual as Chair and Director to lead the development of a new Neural Computation Research Group. This will be a joint appointment between the Schools of Mathematical Sciences and Psychology. For further information please follow the link below to the full job advert: http://www.nottingham.ac.uk/jobs/currentvacancies/ref/PROF176717 The closing date is Friday, 7th July 2017. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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Postdoctoral position on the Inventive Use of Mathematics
by Christian Lebiere June 12, 2017

June 12, 2017

A post doctoral position is available on a NSF project studying how mathematical knowledge is learned and then used in inventive ways. Candidates with a Ph.D. in cognitive psychology, cognitive neuroscience, computer science, or related fields are encouraged to apply. The project has taken many approaches to this question including behavioral studies, neural imaging, and computational modeling. The involvement of the post doc in this position will depend on their strengths, interests, and what they want to lean. The position has funding for at least 2 years. Interested candidates should send inquiries and applications (CV, research interests, references) to John Anderson (ja(a)cmu.edu)

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[INNS-BigData 2018] Call for Papers
by Teng Teck Hou June 11, 2017

June 11, 2017

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

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Postdoctoral position and lab/manager position available in the Zacks lab
by Jeff Zacks June 8, 2017

June 8, 2017

Dear Colleagues, We have two positions available in the lab; one for a postdoctoral fellow, one for a lab manager/research assistant. Please pass these along to any graduating seniors or nearly-done PhD students you think would be appropriate. Thanks! Jeff Zacks Jeffrey M. Zacks, Ph.D. Associate Chair, Department of Psychological & Brain Sciences Professor of Radiology Washington University in Saint Louis 1 Brookings Drive St. Louis, MO 63130-4899 314-935-8454 314-935-7588 (fax) jzacks(a)wustl.edu <mailto:jzacks@wustl.edu> http://dcl.wustl.edu/~jzacks 1) Postdoctoral position in the computational cognitive neuroscience of event cognition Dynamic Cognition Lab, Washington University The Dynamic Cognition Lab, headed by Jeff Zacks, seeks a postdoctoral researcher to work on an ONR-funded project examining comprehension and memory of complex, naturalistic events. This effort will involve computational modeling, behavioral experiments, and pattern-based fMRI. It will engage collaborators at Wash U, and also at UC Davis, Princeton, Harvard, and NYU. The position is funded for three years with potential for extended funding. Ideally, candidates will be available to start in Fall 2017. Potential applicants may want to have a look at the lab web site (dcl.wustl.edu <http://dcl.wustl.edu/>) for information on current related research. (See also psychweb.wustl.edu, and neuroscience.wustl.edu for information on related resources.) A PhD in Psychology or Neuroscience is required for this position. Desirable additional qualifications include: * Previous experience with neuroimaging, especially MVPA * An interest in event cognition and memory * A promising publication record To apply, please send a statement of research interests and CV, and have two letters of evaluation sent by faculty familiar with your work. Email submission is fine; please send application materials or questions about the position to jzacks(a)wustl.edu. If you prefer paper mail the address is: Department of Psychological & Brain Sciences Washington University Saint Louis, MO 63130 2) Lab manager/research assistant Washington University in St. Louis, Psychology Department Seeking a motivated associate to assist with behavioral and functional MRI experiments, starting summer 2017. An ideal candidate would be a newly-graduated undergraduate who has a strong curiosity about cognitive and computational neuroscience, and has relevant coursework and laboratory experience in this area. Duties will include interacting with human participants, data collection and analysis, and also managerial functions such as scheduling facilities and coordinating with other research team members. Required qualification: * Undergraduate degree in psychology, neuroscience, or a related field. Desirable qualifications: * Programming skills * Research experience with human subjects * Experience with functional MRI * Experience with film production This full-time, federally funded position provides a great opportunity to gain experience before going on to an advanced degree. St. Louis is a vibrant, affordable city, and Washington University has a rich community of cognitive scientists and neuroscientists. Two-year commitment required. Health benefits provided. To apply, see the PDF application at the Dynamic Cognition Laboratory website, http://dcl.wustl.edu. Jeffrey M. Zacks, Ph.D. Washington University Department of Psychology Campus Box 1125 St. Louis, MO 63130-4899 314.935.8454 jzacks(a)wustl.edu

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Fully-funded PhD studentship in "Data-driven null models for big data networks"
by Mark Humphries June 8, 2017

June 8, 2017

We seek PhD candidates for the project "Data-driven null models for big data networks", supervised by Dr Mark Humphries at the University of Manchester. We are developing network theory approaches to analysing data in systems neuroscience (Humphries, 2017, https://doi.org/10.1101/115485 ). The aim of this PhD project is to develop an analysis framework for separating signal from noise in data-driven networks. We will develop new, flexible data-driven null models for network structure - models that will predict noise. Using these models, we will create powerful ways of extracting the signal network from observed data. With these signal networks, we will then explore how they change the conclusions we can draw from our observed data, what large-scale structures they uncover in the networks, and how they can track changes to networks over time. Applications will be assessed on a rolling basis, so please apply as soon as possible. This studentship is MRC-funded, so only open to UK and EU students. More information, and how to apply: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=78216&LID=1020 Questions: mark.humphries(a)manchester.ac.uk<mailto:mark.humphries@manchester.ac.uk> Our lab: http://www.systemsneurophysiologylab.manchester.ac.uk/ _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries <https://twitter.com/markdhumphries> Public blog: https://medium.com/the-spike

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Registration Open - EPFL Online Course: Simulation Neuroscience I
by Eilif Muller June 7, 2017

June 7, 2017

Dear Colleagues, I would like to bring to your attention this upcoming new course on Simulation Neuroscience we are offering online, leveraging the HBP Brain Simulation Platform. It is the first of 3 planned courses through which we will teach students to construct and simulate data-driven microcircuits, like the Blue Brain cortical model. More details are below. Many thanks for forwarding to students who may be potentially interested. Best regards, Eilif ===== ANNOUNCEMENT ===== The Center for Digital Education of the École polytechnique fédérale de Lausanne (EPFL), Switzerland in cooperation with the Blue Brian Project is welcoming students to participate in a new online course entitled: Simulation Neuroscience I - Reconstruction of a single neuron Faculty: Prof. Henry Markram, Prof. Idan Segev, Prof. Sean Hill, Prof. Felix Schuermann, Samuel Kerrian, Lida Kanari, Werner Van Geit, Dr. Srikanth Ramaswamy, Dr. Eilif Muller Abstract: Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience. The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations. In a series of three courses, you will learn to use the state-of-the-art modelling tools of the Human Brain Project Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. This is the first course of the series that will teach you how to digitally reconstruct a single neuron. We invite you to join us and share in our passion to reconstruct, simulate and understand the brain! The course is targeted at senior bachelor, master or PhD students in science or engineering fields looking for an introduction to Simulation Neuroscience. It is a 6 week course, with an estimated course load of 5-7 hours per week. The registration deadline is June 13, 2017 The start date of the course is June 15, 2017 Registration is limited due to available compute resources, on a first-come, first-served basis. For more information: https://actu.epfl.ch/news/mooc-simulation-neuroscience-reconstruction-of-a-… ------------- Dr. Eilif Muller Section Manager - In Silico Neuroscience - Experimentation EPFL - Blue Brain Project QIJ 3ème étage CH-1015 Lausanne 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

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Permanent academic positions in computational neuroscience/ machine learning at assistant and associate professor level
by Eleni Vasilaki June 6, 2017

June 6, 2017

There are two permanent academic openings in the Department of Computer Science, University of Sheffield, in the area of Computational Neuroscience within the Machine Learning group. Lecturer/Senior Lecturer/Reader in Machine Learning and Computational Neuroscience. Lecturer/Senior Lecturer/Reader in Machine Learning and Robotics. Lecturer is roughly equivalent to Assistant professor and Senior Lecturer/Reader to Associate Professor in the US system. Since it was established in 1982, the Department of Computer Science at the University of Sheffield has attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research. For more information please see: https://www.sheffield.ac.uk/dcs/jobs/index Prof. Eleni Vasilaki, DPhil CEng MIET Computer Science, University of Sheffield, www.dcs.shef.ac.uk/~eleni

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Call for participation and posters: IMOL2017 – Third International Workshop on Intrinsically Motivated Open-ended Learning
by Gianluca Baldassarre <gianluca.baldassarre＠istc.cnr.it> June 5, 2017

June 5, 2017

*** Apologies for cross-posting *** Dear colleagues, this mail is to invite you to "IMOL2017 – Third International Workshop on Intrinsically Motivated Open-ended Learning" that will be held in Rome, October 4th-5th-6h, 2017. IMOL 2017 is the third international workshop on Intrinsically Motivated Open-ended Learning. Following previous editions, IMOL 2017 aims to further explore the promise of intrinsically motivated open-ended lifelong learning in robots and artificial systems. *We are opening the call for participation and posters (more details on the website and below) with deadline July 16th, 2017*. More info available at imol-conf.org and below. Best wishes, the organizers: Gianluca Baldassarre, Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto ------------------------------------------------------------ ---------------------------------------- *IMOL2017 – Third International Workshop on Intrinsically Motivated Open-ended Learning* Organizers: Gianluca Baldassarre, Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto We are pleased to announce the “Third International Workshop on Intrinsically-Motivated Open-ended Development (IMOL2017)”, which will be held in Rome, Italy, on 4-5-6 October 2017 in a beautiful central location. <http://www.residenzadiripetta.com/it/> All information regarding the workshop, including an extended description of the its scope, can be found in the website imol-conf.org Following two previous workshops, the highly focused “Third International Workshop on Intrinsically-Motivated Open-ended Development (IMOL2017)” aims to further explore the promise of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event. To this purpose, it will feature high profile keynote presentations and the participation of an audience of about 60 people. It will foster close interaction among the participants by enabling intense peer-to-peer discussions, poster sessions, and collective round tables directed toward specific objectives. It will take place at a lovely venue in the center of Rome fostering interactions, with evenings devoted to autonomous exploration of the city. It will be followed by a call for papers to be published in an open journal special issue (e.g. a Frontiers in Neurorobotics Research Topic). *Aims of the Workshop* The Workshop will occur over three whole days, with the last session of each day dedicated to a plenary discussion targeting three important topics: (1) The identification of the most important open challenges in the field of autonomous open-ended lifelong learning, with the aim of compiling a list of high-impact goals identified as important next-steps. (2) The definition of one or more benchmarks for evaluating models and architectures for autonomous open-ended learning (at a later date, an open competition will be held based on the benchmark). (3) The identification of the most promising approaches and techniques to tackle the open challenges identified under point (1). *Topics of interest* - Autonomous robots lifelong learning - Multi-task reinforcement learning - Deep reinforcement learning - Intrinsic motivations - Curriculum learning - Goal self-generation - Multiple task solution and parameterized skills - Neural/probabilistic representations and abstractions Architectures for open-ended learning - Goal-based skill learning - Knowledge transfer and avoidance of catastrophic forgetting - Compositionality and chunking - Hierarchies of goals and skills - Mitigating risks of real-world deployment of open-ended learning systems *Current list of invited speakers* - Baldassarre, Gianluca - Barto, Andrew - Bellemare, Marc - Calinon, Sylvain - Cangelosi, Angelo - Konidaris, George - Merrick, Kathryn - Natale, Lorenzo - O’Regan, Kevin - Oudeyer, Pierre-Yves - Peters, Jan - Polani, Daniel - Reinhart, Felix - Rolf, Matthias - Ruecker, Elmar - Santucci, Vieri Giuliano - Stulp, Freek - Triesch, Jochen - Uchibe, Eiji *Call for Application* Participation in the workshop is free of charge and includes the lunches for the three days. However, the workshop is limited to a restricted number of people given the capacity of the venue and the aim of the event. Prospective attendees should express their interest in participating by submitting the form downloadable from the link below, and their willingness (or not) to contribute a poster. In this case, people is also invited to submit a short/extended abstract (max 2 pages), possibly including figures. The submissions will be selected on the basis of the quality and of how well they fit the workshop’s aims. Both senior and young researchers, including Ph.D. students, are encouraged to submit to ensure a full representation of the community. Moreover, applicants are also requested to indicate in the form their willingness to participate in a special issue in Frontiers in Neurorobotics. This request aims to investigate the overall interest for the initiative, which will be followed by a standard Frontiers call after the workshop. Application deadline: July 16th, 2017 Notification of acceptance: July 27th, 2017 Please submit the form downloadable here <http://www.imol-conf.org/wp-content/uploads/2017/05/IMOL2017_ApplicationFor…> and the optional abstract (subject: “IMOL2017 submission: name, last name”) to: *imol.conf(a)gmail.com <imol.conf(a)gmail.com>* ------------------------------------------------------------ ---------------------------------------- -- .|.CS...|.......|...............|..|......US.|||.|||||.||.||||..|...|....... Gianluca Baldassarre, Ph.D., Laboratory of Computational Embodied Neuroscience, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (LOCEN-ISTC-CNR), Via San Martino della Battaglia 44, I-00185 Roma, Italy E-mail: gianluca.baldassarre(a)istc.cnr.it Web: http://www.istc.cnr.it/people/gianluca-baldassarre Tel: +39 06 44 595 231 Fax: +39 06 44 595 243 Motto: 'Learn from the past, live in(tensely) the present, dream for the future' Life mission statement: 'Serve humanity through core knowledge' ...CS.|||.||.|||.||..|.......|........|...US.|.|....||..|..|......|.........

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We're hiring! New open position at LANVIE - University of Geneva
by Margherita Mauri May 31, 2017

May 31, 2017

Dear All, We are recruiting a research assistant/postdoc for a full time position at the LANVIE https://www.unige.ch/medecine/psyat/en/research-groups/935frisoni/ Please find the job description below: * Field: Alzheimer's disease (AD) and cognitive disorders 1. Study of AD biomarkers 2. Study of the biological basis of cognitive impairment due to Suspected Non-Alzheimer Pathology (SNAP) and of the interplay between amyloidosis and tau-related Neurodegeneration * Projects: 1. Epinettes database - A clinical database for diagnosis and prognosis of patients consulting at the Memory Clinics of the HUG 2. SNAP - Study of the biological basis of cognitive impairment due to Suspected Non- Alzheimer Pathology 3. Human Brain Project (HBP) - Medical Informatics Platform * Tasks: 1. Image analysis: Analysis of MRI and PET images of the brain finalised to the extraction and study of AD imaging biomarkers and cognitive pathologies (Freesurfer, FSL, Matlab, SPM) 2. Didactics: didactic activities management; MSc student supervision 3. Project management: Clinical ethical submissions; Work and data management; Communication and team management 4. Research tasks: Identification of new research opportunities and submission of project funding applications; presentation of research results according to need, participation in international and local conferences and publication in scientific journals; Identification, development and maintenance of collaborative relationships with current and future KOLs, scientific experts, scientific groups and study sites; Participation in working groups, boards, commission representing a project or the Team ; 5. To be customized basing on CV. Should you are interested in this position, please send your CV, cover letter and list of publication to margherita.mauri(a)unige.ch. Best regards, Margherita Margherita MAURI Assistante de Recherche Hôpitaux Universitaires de Genève et Université de Genève LANVIE - Laboratoire de Neuroimagerie du Vieillissement, Chemin du Petit Bel-Air 2 (Bâtiment Voirons) CH 1225 - Chêne Bourg

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Call for Abstracts: Information Processing in Complex Systems
by Eckehard Olbrich May 31, 2017

May 31, 2017

Call for Abstracts The Information Processing in Complex Systems (IPCS'17 https://ipcs.computationalscience.nl/) satellite meeting is organized during the Conference on Complex Systems. Our objective is to provide a forum for researchers who follow an information-theoretic approach to complex systems. Here they can present recent achievements and discuss promising hypotheses and further research directions. It will be a one-day event in September 20, 2017, as part of the Conference on Complex Systems (CCS'17 <http://ccs17.unam.mx/>). This conference is the official annual conference of the Complex Systems Society and is scheduled to convene in September 17-22, 2017. Background All systems in nature can be considered from the perspective that they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred. Indeed, bits of information about the state of one element will travel – imperfectly – to the state of the other element, forming its new state. This storage and transfer of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system reveals fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics could be translated into the language of information processing which in turn will provide a lingua franca for complex systems. Based on the success of the previous year, IPCS’17 will again combine classical and quantum information approaches. If you would like to attend this scientific discourse then you only need to register for CCS’17. Note that the deadline for early registration is June 15. Abstract Submission We invite abstracts for oral presentations of work where information theory is used to tackle a complex systems problem. Our submission page (https://easychair.org/conferences/?conf=ipcs17) is open until June 30, 2017. Please keep the word count for the abstract to max. 300. There is the possibility to upload an extended anstract (single page pdf, one figure). Organizing committee Rick Quax (University of Amsterdam) Eckehard Olbrich (MPI Leipzig) Mile Gu (Nanyang Institute of Technology) Manlio de Domenico (Universitat Rovira i Virgili) For further informations or questions please contact ipcs17(a)easychair.org -- Dr. Eckehard Olbrich Max Planck Institute for Mathematics in the Sciences Inselstrasse 22 D-04103 Leipzig Germany Tel.: +49 341 9959 568 Fax: +49 341 9959 658 E-mail: olbrich(a)mis.mpg.de

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PhD Studentships in Computational Neuroscience
by Steuber, Volker May 31, 2017

May 31, 2017

PhD Positions in Computational Neuroscience Biocomputation Research Group Centre for Computer Science and Informatics Research University of Hertfordshire UK Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. Projects involve the development and simulation of models of neurons and neuronal networks to study information processing in the cerebellum or olfactory system and /or the application of machine learning techniques for the analysis of neural data. A description of our research interests and a list of publications can be found on our webpage (http://biocomputation.herts.ac.uk/).? Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.? Please contact Dr Volker Steuber for informal enquiries. Application forms are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research… and should be returned to Mrs Lorraine Nicholls, Research Student Administrator, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083. The short-listing process will begin on 16 June 2017.

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Extended Deadline: Coupling & Causality in Complex Systems, Sep 25-27, Cologne, Germany
by Michael von Papen May 30, 2017

May 30, 2017

============================================================== CALL FOR PAPERS (*Extended Deadline June 15*, 2017) http://c3s.uni-koeln.de ============================================================== INTERNATIONAL CONFERENCE: *Coupling and Causality in Complex Systems* September 25-27, 2017, Cologne, Germany -------------------------------------------------------------- The interdisciplinary conference Coupling and Causality in Complex Systems (C3S) is hosted by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne (UoC), Germany. It is organized by the Institute of Geophysics & Meteorology, UoC, the Institute of Clinical Neuroscience and Psychology, Heinrich-Heine University Düsseldorf and the Department of Cognitive Neuroscience at the Research Center Juelich. -------------------------------------------------- *Invited Speakers* Jörg Breitung - Macroeconomic Policy Institute, University of Cologne, Germany David Gross - Institute of Theoretical Physics, University of Cologne, Germany Philip Holmes - Mechanical and Aerospace Engineering / Princeton Neuroscience Institute, Princeton, USA Ankit Khambhati - Department of Bioengineering, University of Pennsylvania, USA Laura Marzetti - Department of Neuroscience, Università degli Studi "G. d'Annunzio" Chieti - Pescara Arkady Pikovsky - Institute of Physics and Astronomy, University Potsdam, Germany Michael Rosenblum - Institute of Physics and Astronomy, University Potsdam, Germany Jakob Runge - The Grantham Institute for Climate Change, Imperial College London -------------------------------------------------- *Preliminary Session Program* We will have different sessions with differing topics and each session will be opened by one of the invited speakers. Here is a preliminary version of our program: Session 1 Synchronization I Arkady Pikovsky Session 2 Synchronization II Silvia Daun Session 3 Coupled oscillators I Phil Holmes Session 4 Coupled oscillators II Michael Rosenblum Session 5 Phase coupling Laura Marzetti Session 6 Network structures Ankit Khambati Session 7 Bayesian networks David Gross Session 8 Granger causality I Jörg Breitung Session 9 Granger causality II Esther Florin Session 10 Causal network measures Jakob Runge Further topics of interest for the conference include, amongst others, research and methods development on: functional connectivity, (partial directed) coherence, network topology, graph-theoretic measures, directed graphs, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy. -------------------------------------------------------------- *Scientific Organizing Committee* Silvia Daun - Institute of Zoology, University of Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany Esther Florin - Institute of Clinical Neuroscience and Psychology, Düsseldorf, Germany Joachim Gross - Center for Cognitive Neuroimaging, Glasgow, UK Michael von Papen - Institute of Geophysics & Meteorology, Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany -------------------------------------------------------------- *Abstract* Complex systems such as the human brain, Earth’s climate and economy are characterized by a multitude of coupled processes on different spatial and temporal scales. In order to better understand the dynamics of the system at hand each scientific area has developed specific tools to identify, model and quantify these processes. The conference Coupling and Causality in Complex Systems (C3S) will present a collection of these approaches with the aim to provide scientists with new analysis strategies for their field. The conference focuses on how to characterize a complex system and on the methods for estimating and modeling of statistical coupling (e.g. network coherence, creation and modulation of small networks and local or long-range synchronization by cross frequency phase-phase and phase-amplitude coupling) and causality (e.g. Granger causality, transfer entropy). Therefore, data analysts from different study fields including neuroscience, mathematics, physics, biology, and economy will present their approaches with a particular focus on the methods they use. The aim of this conference is to foster discussions and the transdisciplinary exchange of advanced techniques, methods, and algorithms, thereby stimulating potential future collaborations. -------------------------------------------------------------- *PAPER SUBMISSION AND REGISTRATION* Authors are invited to submit conference abstracts with up to 400 words. Authors of exceptional abstracts will be given the opportunity to present their research in a talk. However, poster sessions will be provided with ample time for discussions. For your submission, please use the conference website c3s.uni-koeln.de. To register, please send an email with the subject "registration" to c3s-conference(a)uni-koeln.de. Please be sure to include your full name, your affiliation and whether you qualify as student (also PhD candidates) or not. The registration fee will cover snacks and refreshments during coffee breaks, lunch and a dinner with all participants. Early-bird registration is available until July 10 with a reduced fee of 100 EUR (50 EUR for students), after July 10 the registration fee will be 200 EUR (100 EUR for students). -------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 15, 2017 Author Notification: end June, 2017 Early-bird registration: July 10, 2017 Conference: September 25-27, 2017 ============================================================== Please find the call for papers and more information at the conference website: http://c3s.uni-koeln.de. For questions regarding the conference feel free to contact us via c3s-conference(a)uni-koeln.de. -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen(a)uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.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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Call for Abstracts: Workshop on Social Learning and Cultural Evolution (SlaCE 2017)
by Julien Hubert May 28, 2017

May 28, 2017

Dear Colleagues, This is a call for abstracts for the Second International Workshop on “Social Learning and Cultural Evolution (SlaCE)”, which will be held at ECAL 2017 in Lyon, France. Organizers: Julien Hubert, j.g.hubert(a)vu.nl <mailto:j.g.hubert@vu.nl> Jacqueline Heinerman, j.v.heinerman(a)vu.nl <mailto:j.v.heinerman@vu.nl> Evert Haasdijk, e.haasdijk(a)vu.nl <mailto:e.haasdijk@vu.nl> Chris Marriott, dr.chris.marriott(a)gmail.com <mailto:dr.chris.marriott@gmail.com> James Borg, j.borg(a)keele.ac.uk <mailto:j.borg@keele.ac.uk> Peter Andras, p.andras(a)keele.ac.uk <mailto:p.andras@keele.ac.uk> Submission deadline: June 27, 2017 Notification of acceptance: July 27, 2017 Submission website: https://easychair.org/conferences/?conf=slace2017 <https://easychair.org/conferences/?conf=slace2017> Workshop website: http://www.climbinggiants.com/slace/2/index.html <http://www.climbinggiants.com/slace/2/index.html> Contact e-mail: j.g.hubert(a)vu.nl <mailto:j.g.hubert@vu.nl> ********* DESCRIPTION ******** In social species, learning from others, i.e. social learning, is one of the cornerstones of cognitive development. Social learning has been shown to increase the learning speed of individuals, but also enables them to reach a higher performance in comparison with learning individually. Social learning also enables local populations to develop a culture that can evolve over time. Realising social learning in artificial systems faces many challenges requiring inputs from machine learning, robotics and evolutionary biology. The aim of this workshop is to promote discussions on social learning and cultural evolution with a special emphasis on the future of of the field. Social learning has been actively studied in psychology but is still in its infancy in artificial systems. Many open questions remain, such as when is social learning advantageous, or what kind of information should be transferred. These questions have been studied but a consensus has yet to be reached, mainly because of the difficulty to compare results in social learning due to the absence of a common research framework. This workshop is devoted to discuss and establish such a framework that will push the research forward. The core of the workshop will consist of short presentations from contributors on their work in the field (current or historical), collective research goals and milestones in social learning and cultural evolution or new concepts, modelling techniques or research questions. Presenters are encouraged to address any of the following topics (though this list is not exhaustive): - Social Learning Mechanisms - Social Information Transfer - Transfer learning - The interaction between social and non social learning - The interaction between learning and evolution - Environmental Variability, Environmental Complexity, and Social Learning - Social Learning Strategies - Social Learning and Life History Evolution - Models of Learning in Nature - The Evolution of Culture - Communication - Social Networks and Social Contagion on networks - Group structure and learning bias - Social Robotics - Grounded (Animat) models of Social Learning - Do our definitions match those used in other related fields (i.e Imitation, Culture, ...) - Human Cultural Evolution (Cumulative Culture) - Co-operation - Gene-Culture Co-Evolution/ Dual Inheritance Theory - Philosophy of Culture - Memetics The workshop will conclude with a fishbowl discussion on the future of Social Learning and Cultural Evolution research in ALife. We ask potential contributors to submit an extended abstract (1 page). We are open to presenters who are contributing during the main ECAL conference to also talk about their work during the workshop in order to have additional discussions. PhD students and young career academics who are new to the field are encouraged to submit to this workshop. SLACE-2017 will be held on September 4th 2017, at ECAL 2017 Kind Regards, Julien, James, Jacqueline, Evert, Chris and Peter — Julien Hubert, PhD Computational Intelligence Group Computer Science Department Faculty of Sciences - VU University Amsterdam

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Open position: PhD in signal processing / computational & clinical neuroscience
by Alan May 26, 2017

May 26, 2017

Dear all, Please find an open position for a PhD in signal processing / computational & clinical neuroscience *Project title: ** *NeuroCog – Parkinson action (https://neurocog.univ-grenoble-alpes.fr) Funding body: UGA Contract duration: 3 years Starting date: From September 2017 on. *Job description:* The successful candidate will develop new TMS/EEG methods (acquisition and processing) for early Parkinson’s disease diagnosis that will quantify the impairment of cortical excitability. *Requested expertise: ** *Computer science / Signal processing / Parkinson’s disease / Neuroimaging / Brain stimulation *Project scientific summary:* Parkinson's disease (PD) is the second most frequent neurodegenerative disorder. Unfortunately, there is no cure for PD and no neuroprotective treatment and about 95% of patients will become demented within 25 years after the diagnosis. The presentation and evolution of PD is highly heterogeneous between patients and some PD phenotypes are more at risk of having a more severe and progressive course of the disease. In particular, although cognitive deficits are very frequent in old patients, in younger patients it is difficult to predict whether they will develop early cognitive disturbances. For this PhD project, we assume that in PD patients with a subtype characterized by prevalent cognitive issues, the impairment of cortical excitability in the fronto-parietal networks would be a new biomarker detectable at an early disease stage. We will thus study the cortical excitability using innovative methodologies that will be first developed in healthy subjects (Harquel et al, 2016; in press) and then longitudinally tested in a cohort of de novo PD patients. Overall, this project investigates PD phenotypes under a neurophysiological perspective that is highly innovative. *Host research groups:* The main goal of the primary host research group (Brain Stimulation & Systems Neuroscience, PI: Olivier David) is to study large-scale brain networks in order to develop new applications of brain stimulation in the field of psychiatry, movement disorders and epilepsy using a translational approach based on clinical and preclinical research. The secondary host lab (Laboratory of Psychology and Neurocognition, PhD co-director: Dr A. Chauvin) is a Cognitive Science Research Unit affiliated to the CNRS (National Institute of Biological Sciences, section 26) and to two universities (University Grenoble-Alpes, Grenoble and University of Savoie Mont Blanc, Chambery). Members of the LPNC who compose the TMS group have an interdisciplinary approach which encompasses engineering, experimental psychology; computational and mathematical modelling; neuropsychology; cognitive psychiatry; and neuroimaging. In addition, the PhD fellow will be in constant interaction with the Movement Disorder Unit of CHUGA (PI: Pr E Moro) and other research groups within the NeuroCog project working on the same cohort of PD patients. Very close interactions between experimentalists, methodologists and clinicians, will offer an optimal environment to develop skills of young scientists. Contacts: Dr Olivier David, Research Director, Inserm, Olivier.David(a)inserm.fr. Dr Alan Chauvin, Assistant Professor, UGA, Alan.Chauvin(a)univ-grenoble-alpes.fr. *Please send application including CV, statement of research interests, and the names and full contact details of at least two referees.** * References: Harquel, S., Bacle, T., Beynel, L., Marendaz, C., Chauvin, A., & David, O. (2016). Mapping dynamical properties of cortical microcircuits using robotized TMS and EEG: Towards functional cytoarchitectonics. NeuroImage, 135, 115–124. Harquel, S., Diard, J., Raffin, E., Passera, B., DallIgna, G., Marendaz, C., et al. (In press). Automatized set-up procedure for transcranial magnetic stimulation protocols. NeuroImage -- New E-mail : Alan.Chauvin(a)univ-grenoble-alpes.fr -- Laboratoire de Psychologie et NeuroCognition LPNC CNRS UMR 5105 Université Grenoble Alpes(UGA) Batiment Science de l'Homme et Math (BSHM) 38041 Grenoble Cedex 09 Alan.Chauvin(a)univ-grenoble-alpes.fr 33 (0) 476 825 926

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Two Research Associate/Assistant Positions in Interpersonal Neural Connectivity at Cambridge University
by Dr V Leong May 25, 2017

May 25, 2017

--- TWO RESEARCH ASSOCIATE/ASSISTANT POSITIONS IN INTERPERSONAL NEURAL CONNECTIVITY AVAILABLE --- The Baby-LINC Lab at Cambridge University is seeking two highly-skilled and motivated post-doctoral researchers to join our multidisciplinary data analysis team! We have recently completed an ESRC-funded large-scale EEG hyperscanning study on mother-infant neural coupling in relation to early learning. We are interested in understanding the interpersonal neural oscillatory dynamics that underpin different mother-infant social interactional states (such as joint attention versus inattention). We are also interested in characterizing the topology of coupled neural networks during successful learning and information transfer within mother-infant dyads. Candidates should be able to demonstrate strong technical expertise in one or more of the following areas : 1) Neural connectivity analysis 2) Signal processing (artifact identification and denoising) 3) Information theoretic analysis 4) Machine learning (including Bayesian learning) Applicants should have already obtained (or be about to complete) a PhD in a relevant subject, which may include (but is not limited to) the fields of computational neuroscience, cognitive neuroscience, biomedical physics, and engineering. Excellent programming skills are essential as the post-holder(s) will be expected to contribute to the lab’s in-house library of custom-built analysis scripts. Experience with EEG/MEG analysis is desirable. Excellent organisational and communication skills are essential, as the candidate must work well as part of a larger research team which includes international collaborators. This is an exciting opportunity to join pioneering research in the field of interpersonal neuroscience, at a time when there is growing interest and momentum. Two posts are available. One post, appointed through the University of Cambridge, is available at the level of Research Associate (post-doctoral) or Research Assistant (PhD to be awarded), on a 50% part-time basis. A second full-time (100%) post is available at the level of Research Associate only. This second post will be appointed through Nanyang Technological University (Singapore), but the post-holder will be entirely based in Cambridge. All suitable applicants will automatically be considered for both posts, unless the candidate indicates otherwise. We would like both successful candidates to begin as soon as possible, and no later than 1st August 2017, but flexible working arrangements can be considered. Informal enquiries are welcome, and can be made to Dr Victoria Leong by email (vvec2(a)cam.ac.uk) or telephone (+ 44 1223 333567). For further information, and to apply : http://www.jobs.cam.ac.uk/job/13871/ -- Victoria Leong, PhD Assistant Professor of Psychology Nanyang Technological University (Singapore) Affiliated Lecturer Department of Psychology, University of Cambridge (UK)

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Postdoc in Connectomics at UPenn
by Ragini Verma May 24, 2017

May 24, 2017

Postdoctoral positions in diffusion imaging are available immediately at the Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA. Candidates must have a background in Electrical or Biomedical Engineering, Computer Science, Applied Math or MR Physics, with experience in diffusion imaging. Knowledge of maine learning techniques is a plus. Current projects involve work on connectomics, multi-compartment models, edema-invariant tractography and joint structural-functional connectivity analysis and their application to brain tumors, traumatic brain injury and autism. Good programming skills is a must. All projects have a strong emphasis on method development (for technical publications) but require subsequent clinical application of the same. The positions call for interaction with clinical collaborators. Please contact the head of the diffusion group, Ragini Verma (Associate Professor of Radiology) at Ragini.Verma(a)gmail.com and Ragini.Verma(a)uphs.upenn.edu <https://mail.uphs.upenn.edu/owa/redir.aspx?SURL=y44JoDKtWxPkUtTXoC_Nf05OEJx…> .

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2017 Cell Modeling Workshop
by Greg Hood May 24, 2017

May 24, 2017

Dear Colleague, We would like to make you aware of the following workshop to be held at the Pittsburgh Supercomputing Center: CELL MODELING WORKSHOP Workshop Dates: June 26 - 28, 2017 Application Deadline: June 2, 2017 For more details, or to apply visit: http://mmbios.org/cmw2017 This workshop will cover theory and practice for the design and simulation of cell models focused on diffusion-reaction systems such as neurotransmission, signaling cascades, and other forms of biochemical networks. During the workshop, participants will learn how to use the tools developed by MMBioS to create, run, and analyze models of cellular microphysiology and apply them to their own research questions. This workshop lasts three full days, and attendees are strongly encouraged to bring ideas/data for their own simulation projects. The daily schedule includes theoretical and practical lectures, instructor-guided hands-on tutorials, and opportunities for one-on-one interaction with the instructors on individual project development.

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PhD Position in Computational Neuroscience of perceptual decision-making at UPF (Barcelona)
by Alexandre Hyafil May 24, 2017

May 24, 2017

One fully funded PhD position is available under the supervision of Alexandre Hyafil in the group of Theoretical and Cognitive Neuroscience of Rubén Moreno Bote. The group is part of the *Center for Brain and Cognition* at the University Pompeu Fabra (UPF), Barcelona, Spain ( https://www.upf.edu/web/ruben-moreno-bote) The candidate will study theoretical models of perception in complex environments and design and analysis human experiments to directly test these models. He/she could also be involved in the design and analysis of animal behavioral and multielectrode neural data. Candidates should have *Physics*, *Mathematics* or *Machine Learning* background, ideally with knowledge of *Neuroscience* or *Computational Neuroscience*, and interested in theory and applications. We will also consider candidates with *Psychology* background interested in computational modeling. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona (http://www. barcelonaneuroscience.com) Candidates, please send a full CV and an extract of grades for degree and master studies should be sent to alexandre.hyafil(a)upf.edu. Deadline: until the position is filled. Starting date: any time between October 2017 and January 2018.

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Post-doctoral Position in Computational Neuroscience
by sujith vijayan May 22, 2017

May 22, 2017

The Neural Dynamics and Neural Engineering Lab at Virginia Tech has an opening for a post-doctoral position in computational neuroscience. This position is for three years and is being funded by the Army Research Office (ARO). The research project will involve employing biophysically based computational models to examine the role of rhythmic activity in the expression of emotional memories during behavior and their consolidation during sleep. An additional aim is to employ the models developed to gain insights into the pathophysiology of post-traumatic stress disorder (PTSD). Candidates should have a Ph.D. in applied mathematics, computer science, engineering, computational neuroscience, or a related field. Strong programming skills and/or prior experience in modeling would be an asset. Interested candidates should send a CV, a statement of research interests, and the contact information for three references to svijayan9(a)gmail.com. Arrangements can be made to meet with candidates at the Sleep conference in Boston (June 3-7) or at the Society for Industrial and Applied Mathematics (SIAM) conference in Pittsburgh (July 10-14). Best, Sujith

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Postdoctoral Position in Primate Circuits/Systems Neuroscience, Hoffman Lab
by Hoffman, Kari May 19, 2017

May 19, 2017

Postdoctoral Research Position in Neural Circuits of Learning and Memory in Non-human Primates Vanderbilt University, Dr. Kari Hoffman The Perception and Plasticity lab (PI: Kari Hoffman) at Vanderbilt University is recruiting a postdoctoral researcher to investigate the neural circuit dynamics underlying memory formation and flexible learning in macaques. Approaches include 1) multi-site electrode array recordings and closed-loop stimulation during visual exploration and 2) high-density wireless recordings during freely-moving tasks and in sleep to identify neural correlates of learning. See http://wp.me/P5TndN-m. Successful candidates will have a PhD in a relevant field (e.g., Neuroscience, Computer Science, Biomedical Engineering, Psychology) and be able to work both independently and as part of a team. Applicants should have experience with macaque behavior or neural ensemble analysis, proficiency in programming/scripting and statistical modeling, and a record of published work related to the areas of interest. The candidate will join a vibrant research community of systems and integrative neuroscience and vision science at Vanderbilt University, including the Vanderbilt Brain Institute and the Vanderbilt Vision Research Center. Vanderbilt University is an Equal Opportunity/Affirmative Action Employer. The start date is flexible. Funding is available for at least three years. The initial appointment will be for one year, with the opportunity for renewal. Applicants should email kari.hoffman(a)vanderbilt.edu<mailto:kari.hoffman@vanderbilt.edu> with a research statement summarizing area of interest, previous accomplishments, and long-term research goals; a CV; and contact information for three references.

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BBP- Postdoctoral Position in Neuro-Glia-Vasculature Modeling
by Daniel Keller May 19, 2017

May 19, 2017

BBP- Postdoctoral Position in Neuro-Glia-Vasculature Modeling A postdoctoral position in modeling of neuro-glia-vasculature is available at the Blue Brain Project at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (www.epfl.ch) The Blue Brain Project, based in Geneva, Switzerland, performs large-scale simulations of the brain. The neuro-glia-vasculature project will extend the model of astrocytes and vasculature to include better prediction of blood flow and energy usage.The position entails development of methods and systems to perform multi-scale modeling and integrate knowledge of the signaling pathways involved in glial messaging. The ideal candidate will have a Ph.D. in computational neuroscience or related field. Experience in modeling of metabolism, blood flow, and/or biochemical signaling cascades is desired. Strong biology and mathematical background, as well as coding competence in Python, C++, and NEURON would also be useful for the position. We are looking for highly motivated individuals to be part of a highly multidisciplinary group working at the interface of neuroscience, physics and computer science. Candidates should possess good writing, collaboration, and communication skills. Selected candidates will join a prestigious project that is pioneering simulation neuroscience research, composed of a young, dynamic, interdisciplinary, and international team. We offer a state-of-the-art working environment based at the Biotech Campus in Geneva ( http://www.campusbiotech.ch/en/ ) with access to cutting edge simulation, informatics and computing facilities. Post-doctoral contracts are generally for one year, renewable for up to two years.Salaries are quite competitive as well, even after taking into account differences in the cost of living. Interested 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 use the reference of the position title in the “object” field.

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PhD position in computational cognitive neuroscience at University of Groningen
by Marieke van Vugt RUG May 18, 2017

May 18, 2017

Dear colleagues, We have a new PhD position in computational cognitive neuroscience as part of a larger COFUND grant to the Data Science and Systems Complexity centre of the University of Groningen. You will work in an interdisciplinary team of scientists from Cognitive Modeling and Control Engineering (including myself and Prof. Ming Cao), on a project that you will be able to help design. The link to the 18 projects (including the computational cognitive neuroscience project in collaboration with Cardiff University) is http://www.rug.nl/research/fse/themes/dssc/cofund/training/ <http://www.rug.nl/research/fse/themes/dssc/cofund/training/> The DSSC Research Training Programme is a Marie Sklodowska-Curie COFUND action developed at the University of Groningen that will train 10 PhD students for 4 years to be part of the next generation of interdisciplinary data and complexity experts. Brief description of the COFUND project: Today’s world is a highly complex system that is producing massive amounts of data daily. We can only progress towards urgent global priorities such as sustainable energy, personalized healthcare, safety or the creation of the data- driven economy if we can predict and control the dynamic nature of such systems. This challenge calls for an integrated approach that uses data to understand the behaviour of complex systems and for experts who can handle data and complexity problems for society at large. For more details, DSSC COFUND website is www.rug.nl/dssc-cofund <http://www.rug.nl/dssc-cofund>. Applications should be submitted online <http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=…> by July 15th. The PhD could start anywhere between October 2017 and March 2018. Kind regards, Marieke van Vugt -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

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