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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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SCiNDU conference call for abstracts
by Geoffrey Goodhill May 18, 2017

May 18, 2017

SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) Joint meeting with the 2017 QBI Plasticity Workshop and the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience Dec 13-15th 2017 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Polina Anikeeva (MIT) Bernard Balleine (UNSW) Daphne Bavelier (U Geneva) John Bekkers (ANU) Kwabena Boahen (Stanford) Tobias Bonhoeffer (Max Planck Martinsried) Rosa Cossart (INMED Marseille) Kenji Doya (Okinawa) Adrienne Fairhall (U Washington) Marta Garrido (U Queensland) Alex Pouget (U Geneva) Pankaj Sah (U Queensland) Andre van Schaik (Western Sydney) Rafael Yuste (Columbia) Abstract submissions for poster presentation are welcome, deadline Oct 1st. Some submissions will be selected for oral presentation. See http://www.qbi.uq.edu.au/scindu for more details. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE, TRUCCOLO LAB, BROWN UNIVERSITY
by Wilson Truccolo May 17, 2017

May 17, 2017

Applications for post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of multiscale neural dynamics. Neural data consist of recordings of ensembles of single-neurons and high-density local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates. Current research projects include: (1) Role of neuronal network intrinsic dynamics in encoding and decoding of sensorimotor information. (2) Multiscale neocortical dynamics in human focal epilepsy: seizure transition, propagation and termination. (3) Precursor signatures of focal seizure transitions, prediction and control. The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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CFP: Latin American Workshop on Computational Neuroscience 2017
by Christian Brackmann May 17, 2017

May 17, 2017

------------------------------------------------------------ ----------------- CALL FOR PAPERS Paper Submission Deadline: June 30, 2017 LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE 2017 November 22-24, 2017 Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. http://www.inf.ufrgs.br/lawcn/ Contact: lawcn2017(a)easychair.org ------------------------------------------------------------ ----------------- Computational neuroscience is the study of brain function regarding the information processing properties of the structures that make up the nervous system. It is an interdisciplinary science that links the diverse fields of neuroscience, as cognitive science, medicine, psychology, electrical engineering, biomedical engineering, mechanical engineering, computer science, mathematics, physics and even philosophy. The Federal University of Rio Grande do Sul (UFRGS), located in Porto Alegre, in the south of Brazil, has promoted a more restricted version of this Workshop in November 2012. Since then, participants and investigators in the interdisciplinary fields related to Computational Neuroscience are claiming to resume the realization of this event. In this sense, with a broader scope aiming to encourage young researchers and graduate master and doctorate students in all Latin America, this edition will have three main topics: a) neuroscience, b) neuroengineering and c) artificial intelligence and related techniques. The Workshop will consist mainly of the following activities: 1. presentation of up to 8 key renowned international and national researchers; 2. presentation of up to 50 oral presentations; 3. presentation of poster presentations; 4. presentation of practical applications in neuroscience, both from University and from companies active in the field; and 5. practical demonstration of the A2200 Enigma machine, which belongs to the Informatics Institute, as a special tribute to the 105th Birthday Anniversary of Alan Turing, considered one of the founding fathers of Computer Science. All participants who investigate and contribute to the understanding of the properties of the brain, such as Medicine, Physics, Computer Science, Engineering, Psychology, Philosophy and others are welcomed. Issues related to the support of Communication and Information Technology and High-Performance Computing in Neuroscience will receive particular attention. UFRGS is happy to welcome LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) in Porto Alegre, Brazil. GENERAL INFORMATION IMPORTANT DATES * June 30, 2017: Submission deadline for papers * August 20, 2017: Notification of acceptance * September 10, 2017: Camera-ready papers and copyrights signatures * November 13, 2017: Digital Posters due, which will be digitally presented * November 22-24, 2017: Workshop, UFRGS - Porto Alegre, Brazil. SCOPE LAWCN 2017 covers all aspects of Computational Neuroscience. Although the interdisciplinary nature of the Conference and the stimulus to work at intersections and the frontiers of different disciplines, for the sake of clarifying the scope of the Workshop, topics will be presented on the three main axes. The interest topics include (but are not limited to): a) Neuroscience: * Sensory processing * Network dynamics * Reinforcement learning * Motivation and decision making * Statistical approaches in neuroscience * Systems Neuroscience * Learning and memory Attention * Arousal of Sensory-Motor Integration Learning in networks * Ethical and philosophical issues related to Neuroscience * Educational issues b) Neuroengineering: * Large-scale recordings * Neural signal processing * Neuromodulation * Neuroprosthetics * Robotics * Biomedical devices development * Humanoid robots * Robots for Elderly People * Sensing in Robotics * Fusion of Sensors * Hardware implementations in Neuroscience * Software implementations in Neuroscience * Brain-Computer Interfaces: design and applications * Ethical and philosophical issues related to Neuroengineering * Educational issues c) Artificial Intelligence and related techniques: * Artificial Intelligence Techniques in Neuroscience * Bioinformatics * Clustering and Applications * Computer Vision, Cognitive and Humanoid Vision * Databases, Data Mining, Intelligent Data Analysis, Knowledge-based Systems and Linguistic Tools * Data Visualization and Applications * Deep Learning * Statistical Pattern Recognition/Document Processing and Recognition * Fuzzy and Hybrid Techniques * Geometric Algebra Application in Perception-Action * High-Performance Computing for Pattern Recognition * Image Coding, Processing, and Analysis * Kernel Machines * Mathematical Theory of Computational Neuroscience * Neural Networks * Parallel and Distributed Applications for Computational Neuroscience * Robotics and Humanoids * Shape and Texture Analysis * Signal Processing and Analysis * Spatio-temporal Analysis * Ethical and philosophical issues related to Artificial Intelligence * Educational issues KEYNOTE SPEAKERS LAWCN Organizing Committee is proud to announce the confirmation of the following invited talks: Dr. Francisco Sotres Bayón, Professor of Neurosciences at the National Autonomous University of México(UNAM), México Title of the talk: Understanding the Brain mechanisms of learned and innate motivational conflicts Dr. Laurence Devillers, Professor of Computer Science at Paris-Sorbonne University, Paris, France Title of the talk: Affective and Social Robotics: engagement, evaluation, and ethics Dr. Sen Cheng, Professor of Computational Neuroscience at the Ruhr University Bochum(RUB), Bochum, Germany Title of the talk: Intrinsic Sequences in the hippocampus for spatial navigation and memory storage Dr. Vinicius Rosa Cota, Professor of Electrical Engineering at the Federal University of São João del-Rei (UFSJ), São João del-Rei, Brazil Title of the talk: Toward a neural prosthesis to the epileptic brain by tackling neural hyper synchronism The confirmation of other invited speakers will be done soon. REGISTRATION FEES - Until 30/06/2017 Undergraduate Student: R$ 100,00 Graduate Student: R$ 150,00 Professionals: R$ 200,00 - Until 13/10/2017 Undergraduate Student: R$ 125,00 Graduate Student: R$ 175,00 Professionals: R$ 225,00 - After 14/10/2017 Undergraduate Student: R$ 150,00 Graduate Student: R$ 200,00 Professionals: R$ 250,00 Registrations can be done at http://www2.fundacaomedica. hcpa.ufrgs.br/siafnet/hinscricoesemcursosv3.aspx? 1598,I+LAWCN+-+LATIN+AMERICAN+WORKSHOP+ON+COM PAPER SUBMISSION AND PUBLICATIONS - Papers should be submitted exclusively through EasyChair website: https://easychair.org/conferences/?conf=lawcn2017 <https://easychair.org/conferences/?conf=lawcn2017> - Papers will be evaluated based on their originality, quality, and significance of the theoretical and practical contribution to Computational Neuroscience; - Only papers presented at the conference will be included in the proceedings; - All papers (Short and Full) and Digital Posters must be in PDF format and include abstract, figures, tables and references in the minimum/maximum amount of pages (according to the category desired); - Papers can be submitted in four categories (see image bellow): - Short paper not related directly to Computer Science: - Length: between 3 and 8 pages - Languages: English, Spanish and Portuguese - Short paper related to Computer Science: - Length: between 6 and 8 pages - Language: English - Full paper not related directly to Computer Science: - Length: between 10 and 15 pages - Languages: English, Spanish and Portuguese - Full paper related to Computer Science: - Length: between 10 and 15 pages - Language: English - Papers that are not related directly to Computer Science will be published in the Latin-American Workshop on Computational Neuroscience Proceedings and can be submitted in English, Portuguese or Spanish. Papers that are related to Computer Science will be published in Springer-Verlag Communications in Computer and Information Science (CCIS) Proceedings (ISSN 1865-0929), and the best papers will be indicated to be published in Education, Technology and Culture (ISSN 1808-0588) or IEEE-RITA (ISSN 1932-8540). - Papers (Short and Full) can be selected by the Program Committee for Oral or Poster presentations, regardless its length and category. - At least one author of each accepted paper for oral or poster presentation must register at the conference. If more than one paper per author is accepted, there is an extra registration fee; - Since LAWCN has goals to foster and encourage investigation careers of young and talented researchers, the Program Committee will select the best papers to be published in indexed journals. Contacts with editors have already been made and will continue until the realization of the Workshop to stimulate Science divulgation. - One of the authors must sign and attach a disclosure form if the paper is accepted; - More details about the papers submission process can be found on the Congress web page. LAWCN AWARDS The Program Committee will select the three best oral presentations (one for each main topic of the event) during the workshop. One of the authors of these papers will be entitled to a prize that will consist of amounts up to USD 300 for registration in scientific events in areas related to the Workshop and which occur in 2018, as well as free registration for the next edition of LAWCN. These awards will depend on the amount obtained by the registrations. ORGANIZERS General Chair: Prof. Dr. Dante Augusto Couto Barone, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Deputy General Chair: Prof. Dr. Marino Bianchin, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Organizing Committee: Christian Puhlmann Brackmann IFFAR, Santa Maria, RS, Brazil Dante Augusto Couto Barone UFRGS, Porto Alegre, RS, Brazil Eduardo Oliveira Teles IFBA, Camaçari, BA, Brazil Heron Pereira UFRGS, Porto Alegre, RS, Brazil Jaime Andres Riascos Salas UFRGS, Porto Alegre, RS, Brazil Marino Muxfeldt Bianchin UFRGS, Porto Alegre, RS, Brazil Paulo Rogério de Almeida Ribeiro UFMA, São Luís, MA, Brazil Pedro Schestatsky UFRGS, Porto Alegre, RS, Brazil Rodrigo Alejandro Sierra UFRGS, Porto Alegre, RS, Brazil Program Committee: Alexandre César Muniz de Oliveira, Informatics Department, Federal University of Maranhão (UFMA), São Luís, Brazil Antônio Carlos Roque, Physics and Mathematics Department, São Paulo University (USP), Ribeirão Preto, Brazil Areolino de Almeida Neto, Informatics Department, Federal University of Maranhão (UFMA), São Luís, Brazil Christian Haag Kristensen, Psychology Faculty, Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Porto Alegre, Brazil Dante Augusto Couto Barone, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Diana Adamatti, Center of Computational Sciences, Federal University of Rio Grande (FURG), Rio Grande, Brazil Edson Prestes e Silva Junior, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Eduardo López-Larraz, Institute of Medical Psychology and Behavioural Neurobiology, University of Tübingen, Tübingen, Germany Eduardo Vicentini de Medeiros, Experimental Philosophy and Cognitive Studies Laboratory, Vale do Rio dos Sinos University (UNISINOS), Porto Alegre, Brazil Fabrício Lima Brasil, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Felipe Meneguzzi, Informatics Faculty, Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Porto Alegre, Brazil Francisco Sotres Bayón, Celular Physiology Institute, National Autonomous University of México (UNAM), México Frederico Augusto Casarsa de Azevedo, Max Planck Institute for Biological Cybernetics, Tübingen, Germany Gustavo Gauer, Psychology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Hougelle Simplício Gomes Pereira, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Jés de Jesus Fiais Cerqueira, Electrical Engineer Department, Federal University of Bahia (UFBA), Salvador, Brazil Jim Tørresen, Department of Informatics, University of Oslo (UiO), Oslo, Norway Juan Verdejo-Román, Brain and Behavior Research Center, University of Granada (UGR), Granada, Spain Luciana Porcher Nedel, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Luis Fernando Cardenas Parra, Psychology Department, Los Andes University, Bogotá, Colombia Marco Rocha Curado, University Medical Center Freiburg, Freiburg, Germany Marcos Yuzuru de Oliveira Camada, Electrical Engineering Graduate Course, Federal University of Bahia (UFBA), Salvador, Brazil Marino Muxfeldt Bianchin, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Miguel Perez Garcia, Mind, Brain and Behavior Research Center, University of Granada (UGR), Granada, Spain Olavo Amaral, Biochemical Medicine Institute, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil Patricio Donnelly Kehoe, Scientific and Technological Center of Rosario, National University of Rosario (UNR),Rosario, Argentina Paulo Rogério de Almeida Ribeiro, Computer Engineering Department, Federal University of Maranhão (UFMA), São Luís, Brazil Pedro Schestatsky, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Reinhold Scherer, Institute of Neural Engineering, Graz University of Technology, Graz, Austria Renan Cipriano Moioli, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Risto Ilmoniemi, Department of Neuroscience and Biomedical Engineering,Aalto University, Helsinki,Finland Rodrigo Alejandro Sierra, Biosciences Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Rukiye Uzun, Department of Electronics and Electrical Engineering,Bulent Ecevit University (BEU), Zonguldak, Turkey Sen Cheng, Computational Neuroscience Institute, Ruhr University Bochum (RUB), Bochum, Germany Silvio Cesar Cazella, Department of Exact and Applied Social Sciences,Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil Victor Christian Paredes Cauna, Texas A&M University, Bryan/College Station, USA Vinicius Rosa Cota, Electrical Engineering Department, Federal University of São João del-Rei (UFSJ), São João del-Rei, Brazil

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Information theory workshop at CNS*2017 -- call for contributed talks
by Joseph Lizier May 17, 2017

May 17, 2017

Dear all, We are pleased to announce the Workshop on Methods of Information Theory in Computational Neuroscience, at CNS*2017, Antwerp, Belgium. The workshop will be held over the final two days of the main conference, July 19 and 20. Our confirmed invited speakers include the following (schedule available soon): * Selin Aviyente, Michigan State University -- "Directed Information: Application to EEG during cognitive control" * Lionel Barnett, University of Sussex -- "Information Transfer in Continuous and Discrete Time" * Karl Friston, University College London -- "Active inference and artificial curiosity" * Renaud Jolivet, University of Geneva -- "Energy-efficient information transfer at synapses" * Lubomir Kostal, Academy of Sciences of the Czech Republic -- "Reference frame independence as a constraint on the mutual information decomposition" * Joseph T. Lizier, The University of Sydney -- "Estimating information transfer between spike trains" * Daniele Marinazzo, University of Ghent -- "Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI" * Jil Meier, Delft University of Technology -- "The epidemic spreading model and the direction of information flow in brain networks" * Viola Priesemann, Max Planck Institute for Dynamics and Self-organization, Goettingen -- TBA * Adrià Tauste, Universitat Pompeu Fabra -- TBA * Tatjana Tchumatchenko, Max Planck Institute for Brain Research, Frankfurt -- TBA * Taro Toyoizumi, RIKEN Brain Science Institute -- "A Local Learning Rule for Independent Component Analysis" * Raul Vicente, University of Tartu -- TBA Also, we would like to call for contributions of talks (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Joseph Lizier (joseph.lizier(a)sydney.edu.au) by Friday June 2, 2017. Please see our website http://bit.ly/cns2017itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier Viola Priesemann Justin Dauwels Taro Toyoizumi Alexander Dimitrov Lubomir Kostal Michael Wibral

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Call for Abstracts: Bernstein Conference 2017
by Zrinka Gattin May 17, 2017

May 17, 2017

*Call for Abstracts: Bernstein Conference 201**7* *** **Deadline for abstract submission:* June 14, 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 14, 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> This year for the first time, the Bernstein Association offers Travel Grants for participation in the Bernstein Conference. Each of the 10 Travel Grants is endowed with 500 €. Please find further information under the link:www.nncn.de/en/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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Abstract submission and registration open for Integrated Systems Neuroscience 2017 meeting (September 7-8, Manchester, UK)
by Mark Humphries May 16, 2017

May 16, 2017

We are excited to announce that registration and abstract submission is open for the second Integrated Systems Neuroscience meeting (7-8th September 2017, Manchester, UK) For registration and abstract submission information, please visit: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ Deadlines: Abstract submission: June 30th 2017 (Decision: July 28th) Registration: August 11th Meeting information: The goal of this meeting is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits. A poster session with wine reception will be held on the first evening. Confirmed speakers: Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/

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One PhD Position in Computational Neuroscience at the University of Bremen, Germany
by David Rotermund May 16, 2017

May 16, 2017

The Computational Neuroscience lab at the University of Bremen headed by Dr. Udo Ernst offers a PhD position in the field of Neural Network Modelling and Data Analysis. Successful candidates will join an international research group dealing with Neural Dynamics, Criticality in Neural Systems, Information Processing and Feature Integration in the Visual System (www.bernstein.uni-bremen.de) The project in the SPP 1665 "Resolving and manipulating neuronal networks in the mammalian brain - from correlative to causal analysis" funded by the DFG is entitled: "Interareal phase coherence as a mechanism for attention-dependent neuronal signal routing" The visual system selectively processes information in dependence on the current behavioral task. However, the neural mechanisms underlying flexible computation in the brain are presently not known. In our troica project, engineers, neurobiologists and theoreticians collaborate to investigate this important topic for understanding brain function. Your task will be to build and to simulate selective information processing in neural models of the visual system, and to compare your results to data from electrophysiological recordings and intracortical microstimulation performed in rats and macaque monkeys. You will work in a highly interdisciplinary, exciting research environment which is embedded into the "Schwerpunktsprogramm 1665" funding twelve similar projects throughout Germany (http://www.spp1665.de) The position is funded with a salary comparable to a 65 % TVL13 position and comes with support for 3 years and direct supervision by the principal investigator. Ideal candidates have a MSc in Neuroscience, Physics, or Computer Sciences. They must have a strong background in physics and/or computational neuroscience and solid programming experience, ideally in Matlab or Python. Above all, they must have a strong motivation, a sense for responsibility, interest for detailed analysis, and a distinct desire to learn. Fluency in English is required (both written and spoken). If you are interested, please send your complete application at your earliest convenience by e-mail (see detailed instructions below) to ajanssen(a)neuro.uni-bremen.de. Severely disabled applicants and women with essentially identical and personal suitability will be preferentially selected. === Detailed instructions for applicants === Your application must comprise: == Motivation letter == Your 1-2 page essay should reply the following questions: * What is your background? In which fields have you worked before and how do you think this can be useful for the present job? * What attracts you to the field of neuroscience? * Which problem(s) in neuroscience are you most interested in? * Which kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and how do you approach a research problem? * What are your plans for your future career? == Curriculum Vitae == Send a classical tabular CV with your contact details, your date-of-birth, a current photograph, and all stages of education and employment. == List of skills, awards, publications == List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. == Contact details of two academic references == One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. Please send your application to ajanssen(a)neuro.uni-bremen.de! All documents must be in PDF format and must not be compressed. Combine all documents to a single PDF file or at least name the separate files appropriately. If we find your application interesting, we will let you know within three to four weeks and potentially ask for more documents.

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Postdoctoral position (Cogn Neuro) in Milwaukee, WI
by Adam S Greenberg May 15, 2017

May 15, 2017

Please email me If you'd like to meet face-to-face to discuss this position during the 2017 Vision Sciences Society Meeting in Florida. Postdoctoral Research Position in Cognitive Neuroscience Department of Psychology, University of Wisconsin, Milwaukee The Sensory Neuroscience, Attention, & Perception Laboratory (SNAP Lab) of Dr. Adam Greenberg is recruiting a postdoctoral researcher to begin late Summer/early Fall 2017 (flexible start date). We study the neural mechanisms of attention and perception in humans using a large range of cognitive neuroscience tools including neuroimaging (fMRI, diffusion imaging), TMS, computational modeling, and neuropsychological methods. Please find additional laboratory details at http://snaplaboratory.com. This fully funded position was created to coincide with multiple grant-funded studies of visual/auditory attention in both normal volunteers and cancer patients. Thus, a wide range of specific projects are possible along with the possibility of writing manuscripts on existing data. New project development is also strongly encouraged. Successful candidates will have a PhD in a relevant field (e.g., Psychology, Neuroscience, Computer Science, Biomedical Engineering, etc.), should be highly motivated, and able to work both independently and as part of a team. Experience with TMS is especially desirable, as is a strong background in attention and perception. Experience with other techniques used in the lab are welcome but not required. Proficiency in programming/scripting (e.g., MATLAB, Linux shells) is necessary. Initial appointment will be full-time for one year, with renewal contingent upon productivity. UW-Milwaukee is an R1 (Carnegie Classification) public, urban research university. Neuroscience faculty in the department cover a large range of research including the neurobiology of learning & memory, aging, addiction, sleep, emotion, and of course attention and perception. The program has experienced unprecedented growth in recent years, particularly in cognitive neuroscience, and is an integral part of a large neuroscience community in the Milwaukee area. Milwaukee is a vibrant, affordable city on the shores of Lake Michigan (90 miles from Chicago) with a high quality of life and a thriving urban culture, food, arts, & music scene. An award-winning network of parks and biking/hiking trails allow for plentiful outdoor activities during all seasons. Applications should be addressed to Adam Greenberg (by email to SNAPLab-Postdoc(a)uwm.edu<mailto:snaplab-postdoc@uwm.edu>) including (1) a statement of research interests that discusses your fit with the lab, (2) a current CV, and (3) the names/emails of three references. Applications will be accepted until the position is filled. ___________________________ Adam Greenberg, Ph.D. Assistant Professor University of Wisconsin-Milwaukee Department of Psychology P.O. Box 413 Milwaukee, WI 53201 email: agreenb(a)uwm.edu<mailto:agreenb@uwm.edu> Tel. (414) 229-1106 Fax (414) 229-5219 http://www.snaplaboratory.com/ Twitter: @SNAPLabUWM ___________________________

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Fully funded PhD position on computational methods for brain connectivity analysis
by Diego Sona May 11, 2017

May 11, 2017

We are seeking candidates for a PhD position entitled “Computational Methods for Brain Connectivity Analysis” which mainly concerns with the development of novel approaches (based on pattern recognition and machine learning methodologies) for the brain connectivity analysis of neuroimaging data (fMRI, rsMRI, DTI, MEG, EEG, etc.). The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ <https://nilab.fbk.eu/>) and the Pattern Analysis and Computer Vision Department (PAVIS, http://pavis.iit.it/ <http://pavis.iit.it/>). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it <http://cimec.unitn.it/>). The applicant should have a strong background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The successful candidate will have the opportunity to work in an interdisciplinary environment. Interested candidates are invited to contact Paolo Avesani (avesani(a)fbk.eu <mailto:avesani@fbk.eu>) and Diego Sona (diego.sona(a)iit.it <mailto:diego.sona@iit.it>) by emailing their CV and a short statement of interest in this position. The candidates must in any case formally apply for the PhD grant following the instructions in the call published by Università degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school <http://ict.unitn.it/application/ict_doctoral_school>) referring to position A3. Deadline for formal application is May 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) For further information on the position and the application process refers to the following links http://ict.unitn.it <http://ict.unitn.it/application/ict_doctoral_school> http://ict.unitn.it/application/project_specific_grants <http://ict.unitn.it/application/project_specific_grants>

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Deadline extended to 21st May: Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction"
by Peter König May 11, 2017

May 11, 2017

Deadline for abstract submission and registration extended to 21st May! ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" in Osnabrück from the 6th to 8th July 2017 (http://www.occam-os.de/occam.html) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tamil Asfour*, Karlsruhe Institute of Technology Verena Hafner*, Humboldt-Universität of Berlin Ivan Herreros*, UPF Barcelona Concetta Morrone*, University of Pisa Bernhard Hommel*, Leiden University Ivana Konvalinka*,Technical University of Denmark Simone Schütz-Bosbach*, LMU Munich Markus Siegel*, University Tübingen Luciano Fadiga*, University of Ferrara Tobias Heed*, University of Bielefeld Basil Wahn*, Osnabrück University Ophelia Deroy*, University of London Susan Brennan, Stony Brooks University Thomas Metzinger*, University Mainz Merle Faihurst*, University of London Hauke Heekeren*, Free University Berlin The OCCAM (Osnabrück Computational Cognition Alliance Meeting) is organized by Gordon Pipa, Frank Jäkel and myself and brings together well established outstanding researchers as well as young promising scientists. This year, the 6th workshop of the series, jointly with the socSMCs project and coordinates with Andreas Engel (http://socsmcs.eu/) we focus on social interactions. The topic comprises theoretical, computational, physiological and robotics approaches. The program includes full length talks (see above), student presentations, a poster session, guided poster tours and a public talk to the general audience. We go to great length to actively involve all participants. Furthermore, there will also be time for informal discussions. Osnabrück is a charming town with a long history many places worth visiting (https://www.osnabrueck.de/english.html) It is conveniently located at the intersection of major train routes and has a local airport with good connections to major hubs (Frankfurt, Munich, London-City Airport) as well as a selection of further direct connections. More detailed travel information can be at http://www.occam-os.de/travel-info.html. We'd be happy if this meeting is of interest to you or your students and hope to welcome you in Osnabrück in summer 2017. Best, Peter, Gordon, Frank & Andreas -- Prof. Dr. Peter König Institute of Cognitive Science University Osnabrück Wachsbleiche 27 49090 Osnabrück +49 541 969 2399 http://cogsci.uni-osnabrueck.de/~NBP/

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Call for Extended Abstracts: ICML2017 Workshop on Computational Biology
by Sandhya Prabhakaran May 10, 2017

May 10, 2017

Dear all, We invite submissions to the Workshop on Computational Biology (https://sites.google.com/ view/compbioworkshopicml2017) to be held in conjunction with ICML 2017 (https://2017.icml.cc/) conference in Sydney, Australia (Aug 6th - 11th, 2017). In Computational Biology, there have been credible developments in many high-throughput technologies that enable data generation from many interesting biological systems. The gamut of novel algorithms in Machine Learning makes it very attractive to apply these methods to the challenging biological questions. It therefore only seems befitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments. We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We invite extended abstracts dealing with interesting applications of ML methods or bioinformatics approaches to biological and biomedical data arising from, but not limited to NGS technologies (ATAC-seq, ChIP-seq, Hi-C etc), CyToF, single-cell sequencing, electronic health records, and imaging technologies. In terms of methods, supervised and unsupervised ML, deep learning, multi-task learning, kernel methods, probabilistic graphical models would all be appropriate for the workshop. Important Dates --------------- Deadline for submissions : June 5th 2017 Notification of acceptance : June 16th, 2017 Workshop date : Aug 10th or 11th, 2017 Submission ---------- All novel Computational Biology approaches are of interest to the workshop. We welcome original extended abstracts that present recently published work as well as preliminary ideas. Extended abstracts should not exceed 4 pages in length (plus 1 optional page for references) and should be in pdf format (one column, font size 12). The submission need not be anonymized. If the abstract concerns previously published work, please cite the original paper in the workshop submission. All accepted contributions shall be presented at the poster session. There will be Travel Awards for Contributed Talks and Awards for Best Poster Presentations. Accepted abstracts will have the option of being published on the workshop website. For authors who do not wish their abstracts to be posted online or become citable, please mention this in the workshop submission. Submissions should be made through the EasyChair system: https://easychair.org/ conferences/?conf=wcb2017 Invited Speakers ---------------- Anshul Kundaje (https://profiles.stanford. edu/anshul-kundaje), Stanford University Suchi Saria (http://www.suchisaria.com/) Johns Hopkins University Cheng Soon Ong (http://www.ong-home.my/) Data61, Canberra Registration ------------ All participants must register for the ICML 2017 workshop (https://2017.icml.cc/ Register2). Contact ------- For workshop-related queries please contact: wcbicml(a)gmail.com We are looking forward to your submissions! Organizing Committee: Dana Pe'er (https://www.mskcc.org/ research-areas/labs/dana-pe-er ), MSKCC Christina Leslie (https://www.mskcc.org/ research-areas/labs/christina- leslie), MSKCC Barbara Engelhardt (https://www.cs.princeton.edu/ ~bee/), Princeton University Elham Azizi (http://elhamazizi.info/) MSKCC Sandhya Prabhakaran (http://sandhyaprabhakaran. com/), MSKCC Meghana Kshirsagar (http://www.cs.cmu.edu/~ mkshirsa/), MSKCC Ambrose Carr (http://ambrosejcarr.com/) MSKCC (MSKCC: Memorial Sloan Kettering Cancer Center, NYC)

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Vanderbilt University - Multimodal Imaging Data Analyst Position
by Vago, David R May 10, 2017

May 10, 2017

Job description Vanderbilt University – Osher Center for Integrative Medicine – Data Analyst The Contemplative Neuroscience and Integrative Medicine lab (CNIM)<http://davidvago.bwh.harvard.edu/contemplative-neuroscience-and-integrative…> at the Osher Center for Integrative Medicine at Vanderbilt University Medical Center<https://www.vanderbilthealth.com/osher/> invites applications for a data analyst position. The appointment is for 1-3 years with the possibility to establish an independent program and a faculty appointment at VUMC The mission of The Osher center's new CNIM research laboratory is to alleviate suffering and improve well-being through rigorous investigation of the mind. Under the direction of David Vago, PhD<https://faculty.mc.vanderbilt.edu/Faculty/Details/41416>, the CNIM utilizes a translational approach to identify and characterize neurobiological substrates mediating psychopathology, to better predict outcomes and clarify potential biologically-based diagnostic and therapeutic strategies for those suffering with mental illness and chronic pain. This is an exciting opportunity to contribute your technical expertise and creativity to innovative research projects in a collaborative, multi-disciplinary environment and to gain experience in patient-centered research using psychological, first-person phenomenological, cognitive-behavioral, genomic, neuroendocrine, physiological (e.g., EEG, EMG, ECG, HR, BP, pupillary, skin conductance) and multimodal (e.g., fMRI, MRI, DTI, MRS, EEG-fMRI) brain imaging techniques. The successful candidate will have access to state-of-the-art brain imaging and computational facilities at the Vanderbilt University Institute of Imaging Science (VUIIS)<http://www.vuiis.vanderbilt.edu/>, the VU Brain Institute<https://medschool.vanderbilt.edu/brain-institute/>, the largest DNA databank (BioVU) in the world, and Vanderbilt Institute for Clinical and Translational Research (VICTR) in order to carry out high-impact multi-disciplinary research and development of innovative mental health applications. Access to de-identified medical record information and data associated with participation in integrative medicine therapies is also available from Bravenet<http://www.bravewell.org/current_projects/bravenet/>, the nation's largest practice-based integrative medicine research network across 19 collaborative institutions. The successful candidate will work closely with our expert team of clinicians and research staff, neuroimaging faculty, and collaborators across the Vanderbilt University campus to contribute to the rigorous investigation of mind-brain-body interactions and their therapeutic relevance in health care settings. The post-doctoral fellow will be expected to contribute to ongoing projects and to develop an independent line of research. Mentorship, training, and professional development opportunities will be provided to facilitate the fellow's future career in academic, research, or industry settings with expertise in affective neuroscience, the science of meditation and integrative medicine. We are seeking a candidate with the following qualifications/experience: * A PhD and relevant research experience in cognitive neuroscience, computational neuroscience, brain network modeling, biostatistics, bioinformatics, or related fields. * Experimental paradigm design/implementation (e.g., E-Prime, Presentation, PsychoPy, etc.), * Psychophysiological experimentation (e.g., Startle-blink, skin conductance, etc.) * Neuroimaging analyses (e.g., GLM, MVPA, ICA, functional and anatomical connectivity/morphometry) using both BOLD and ASL. * Computational methods and programming/scripting skills used in neuroimaging (e.g., Matlab, C/C++, Python, AFNI, FSL, SPM, Freesurfer). * Exceptional skills in experimental design, quantitative methods, statistical modeling, and the ability to carry out independent data entry and statistical analyses using standard software packages (e.g., SPSS, SAS, R) are particularly desirable. * Solid mastery of written English and show evidence of peer-reviewed publications. Candidate must be eligible to work in United States. We offer a competitive salary that is commensurate on experience plus full benefits. Start date as soon as possible. This is a 1-3 year full-time position that depends upon leveraging future funding and performance. Please email a CV, statement of research interests and relevant background, and names of three referees to Dr. David Vago at david.vago(a)vanderbilt.edu<mailto:david.vago@vanderbilt.edu> ============================== David R. Vago, Ph.D. | Research Director | Osher Center for Integrative Medicine at Vanderbilt University Associate Professor | Department of Physical Medicine & Rehabilitation | Department of Psychiatry & Behavioral Sciences | Contemplative Neuroscience & Integrative Medicine Laboratory<http://davidvago.bwh.harvard.edu/contemplative-neuroscience-and-integrative…> 3401 West End Ave., Suite 380 (3rd floor) | Nashville, TN 37203 | O: (615) 875-9555 ------- Research Associate, Department of Psychiatry | Brigham & Women’s Hospital | Functional Neuroimaging Laboratory<http://neuroimaging.bwh.harvard.edu/> | Boston, MA 02115 http://contemplativeneurosciences.com<http://contemplativeneurosciences.com/>

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Summer school in Neurogeometry
by Sarti Alessandro May 10, 2017

May 10, 2017

http://nobelio.math.unifi.it/smi/ Summer School in Neurogeometry Organisers Dmitri Alekseevsky (Russian Academy of Science) Giovanna Citti (University of Bologna) Jean Petitot (CAMS - EHESS) Alessandro Sarti (CAMS - EHESS/CNRS) from July 2 to July 14 2017 Palazzone of the Scuola Normale Superiore, Cortona, Italy ______________ Jêrome Ribot College de France Physiological properties of neurons in the primary visual cortex Enrico Le Donne University of Jyvaskyla Riemannian and subRiemannian geometry in Lie groups Davide Barbieri Universdad Autonoma de Madrid Harmonic analysis for modeling visual cortical functions Remco Duits TU Eindhoven Orientation score theory and its solutions to cortical PDE, ODE and Wavelet models ______________ Scope is to provide students at the end of Master classes or at the beginning of PhD school with an introduction to Neurogeometry. Instruments of differential geometry in anisotropic structures and experimental brain data allow to build efficient models of the visual cortex, with applications to image processing. Theoretical courses will be held in the morning and complementary activity in the afternoon. The registration to Cortona Neurogeometry 2017 course is open on line at http://nobelio.math.unifi.it/smi/ Deadline for applications is June 10, 2017 . A selection committee will meet shortly afterwards and all accepted foreign applicants will be notified of the result in due time. Applications should contain a BRIEF CURRICULUM VITAE and a DETAILED CURRICULUM STUDIORUM and should. The exact e-mail address to which all correspondence concerning the Summer courses has to be mailed should be clearly stated

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full-time job openings at HRL Laboratories in Malibu, CA
by Pilly, Praveen K May 10, 2017

May 10, 2017

(1) POST DOC RESEARCH STAFF, Machine Learning and Brain-Inspired Computing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, or related fields. ESSENTIAL JOB FUNCTION: To develop, implement, and evaluate novel large-scale brain-inspired computational architectures, including spiking neuromorphic models, to solve complex problems such as resilient sensorimotor control; one-shot learning; visual scene segmentation, recognition, and tracking; spatiotemporal pattern discovery; big data prognostics and diagnostics; grammar learning; etc. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. KNOWLEDGE AND EXPERIENCE DESIRED: Programming proficiency in C++, Python, or Matlab is required. Knowledge and/or research experience in the development, implementation, and evaluation of various neural networks including spiking neuromorphic models, deep learning models, hierarchical temporal memory models, recurrent neural networks, long short-term memory models, deep reinforcement models. Knowledge of expectation maximization theory, Bayesian inference on graphical models, reinforcement learning theory, control systems, nonlinear optimization, and episodic, semantic, and procedural memory systems is preferred. Any experience with high-performance computing using clusters, GPUs, or FPGAs will be a plus. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: Should be U.S. citizen or permanent resident. If interested, please apply at the following link: https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba…. Also, send your resume via email to Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) and put the pertinent Job Name in the subject heading. (2) POST DOC RESEARCH STAFF, Machine Learning and EEG Processing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, Bio-Statistics, or related fields ESSENTIAL JOB FUNCTION: To develop, implement, and validate real-time pattern recognition algorithms for decoding high-density EEG signals to predict future behavioral performance and inform non-invasive brain stimulation for behavioral enhancement in realistic tasks. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. EXPERIENCE DESIRED: Research experience in one or more of the following areas: high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, brain-machine interfaces, neural statistical modeling, closed-loop brain stimulation, and computational neuroscience. Deep understanding of machine learning algorithms applied to EEG is highly desirable. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply. KNOWLEDGE AND EXPERIENCE DESIRED: Background in one or more of the following areas: machine learning, pattern recognition, statistical data analysis, neural statistical modeling, neurophysiology, peripheral physiology, neuroscience, and sleep/wake states. Programming proficiency in Matlab and/or C++ is required. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: Should be U.S. citizen or permanent resident. If interested, please apply at the following link: https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba…. Also, send your resume via email to Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) and put the pertinent Job Name in the subject heading. We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories conducts groundbreaking research in three thrust areas: Complex Networks, Secure and Resilient Systems, Autonomy Computing, and Human-Machine Cognition. We create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare. The goal of our research in Human-Machine Cognition is to understand how humans process information and effectively interact with the environment to develop smarter autonomous systems, enhance human performance, and develop novel processing systems. Our research starts with the development of large-scale, neurobiologically and behaviorally faithful brain region models. We apply these models along with real-time measurements of brain activity (EEG, fMRI, fNIRS) to create advanced brain-computer interfaces, human decision aids, and neurostimulation-based enhanced training systems. We also use our models to develop novel brain-inspired sensor exploitation, machine learning, and control algorithms, and to develop low size, weight and power brain-based processing hardware for resilient autonomous systems, dexterous robots, and threat warning applications. HRL offers a competitive salary and benefits package, a small company atmosphere, and an ideal work location overlooking the Pacific Ocean. We also provide a collaborative technical culture committed to producing the leading R&D in the world. -- Praveen K. Pilly, Ph.D. Research Staff Scientist Information and Systems Sciences Laboratory HRL Laboratories Address: 3011 Malibu Canyon Road, Malibu, CA 90265 Tel: (310) 317-5492 Email: pkpilly(a)hrl.com

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Post-doctoral Fellowship in modelling brain networks and dynamics
by Alex Fornito May 10, 2017

May 10, 2017

Post-doctoral Fellowship in modelling brain networks and dynamics We seek a talented post-doctoral researcher to work on developing and applying biophysical models of large-scale brain dynamics, particularly neural mass models and neural field models, with a focus on: - applying the models to understand empirical brain imaging data acquired with magnetic resonance imaging (MRI), positron emission tomography (PET), electroencephaolography (EEG), magnetoencephalography (MEG) and/or transcranial magnetic stimulation (TMS); - integrating the models with data derived from genetic and other molecular techniques; and - using the models to understand brain disturbances in psychiatric disorders such as schizophrenia. The position is funded for three years and is offered at level A or B, depending on experience and track record. The Fellow will be based in team of A/Prof Fornito in the Brain and Mental Health Lab at Monash University, Melbourne, Australia. It involves close collaboration with Prof Gustavo Deco, and will require regular travel to Prof Deco’s lab at Pompeu Fabra University, Barcelona, Spain. For further details, please see: careers.pageuppeople.com/513/cw/en/job/561731/research-fellow-brain-and-men… ___________________________________ Alex Fornito Associate Professor Brain & Mental Health Laboratory Monash Institute of Cognitive & Clinical Neurosciences A: 770 Blackburn Rd, Clayton, 3800, Vic, Australia P: +61 3 9902 9796 F: +61 3 9902 9817 E: alex.fornito(a)monash.edu W: http://www.med.monash.edu.au/psych/bmh/ T: @AFornito Book: http://bit.ly/1mz215S

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