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International Brain Connectivity Workshop, June 10-12, 2015 - last call
by Scott Makeig May 13, 2015

May 13, 2015

*14th International Workshop on Brain Connectivity* The international Workshop on Brain Connectivity (WBC), to be held at the University of California San Diego (June 10-12, 2015), will focus for the first time primarily on the role of electrophysiological data in understanding the fine temporal scale underlying brain network dynamics as well as the mechanisms by which emergent dynamics originate from multi-scale interactions between brain areas, brain activity frequencies and timescales, and between brain activity and behavior. This focus reflects the growing realization that to understand how the brain supports behavior and experience requires imaging of distributed brain activity with fine temporal resolution. The first day of the Workshop will be dedicated to lectures, followed by two days of half-day workshop sessions. The WBC will bring together leading investigators in the fields of neuroimaging, cognitive and computational neuroscience to discuss current and forthcoming challenges for brain connectivity research based on electrophysiological data. Speakers include Klaas Stephen (Zurich), Carsten Wolters (Muenster), Eugene Izhekevich (San Diego), Stephan Kiebel (Leipzig), Matias Palva (Helsinki), Alain Destexhe (France), Charles Schroeder (Columbia U), Ryan Canolty (U Houston), Stefan Haufe (New York), M. Muthuram (Germany), Kathleen Poston (Stanford) and others. Its goals are to stimulate research students and scientists from diverse backgrounds for research in topics related to electrophysiology and brain connectivity, to promote larger international collaborations in these fields, and to inform the neuroscience community about emerging methods, and comprehensive theory and models for brain connectivity analysis, in particular from electrophysiological recordings. - for the organizers, Scott Makeig, Swartz Center, UCSD Registration (USD) Postdocs, Academics, Others 400 Students (Graduate and Undergraduate) 260 For more information and registration, visit *http://sccn.ucsd.edu/BrainConnectivityWorkshop2015 <http://sccn.ucsd.edu/BrainConnectivityWorkshop2015>* -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott

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[journals] CFP: IEEE ToH Issue on Active Touch Sensing
by yon May 13, 2015

May 13, 2015

A reminder of the June 1 deadline for the forthcoming special issue of the IEEE Transactions on Haptics on “Active Touch Sensing in Robots, Humans, and Other Animals". We hope you will consider contributing. Please share this announcement with your colleagues. Thank you! Yon Visell Call for Papers IEEE Transactions on Haptics Special Issue on Active Touch Sensing in Robots, Humans, and Other Animals Submission deadline (EXTENDED): June 1 2015 First decision to authors: August 1 2015 Complete Details: http://re-touch-lab.com/ieee-toh-issue <http://re-touch-lab.com/ieee-toh-issue> Guest Editors: Yon Visell, Drexel University Vincent Hayward, Université Pierre et Marie Curie Mitra Hartmann, Northwestern University Nathan Lepora, University of Bristol Topical Summary: This special issue addresses the challenges posed by actively sensing and interacting with the world through the sense of touch, whether the latter is implemented through a technological or biological system. Active touch sensing is recovering information about the world by ‘touching’ rather than ‘being touched’ – by interpreting signals from sensors whose motion is deliberately controlled to facilitate information gain. The scope of this issue includes both biological and technological systems for active touch sensing, and implications for haptics. This issue will consider electronic systems for active touch sensing that are biologically inspired systems, in addition to other inherently active approaches to touch sensing. Biological systems for active touch sensing are highly capable, and, by comparison, the field of robotic touch sensing is in its infancy. The former demonstrate many valuable concepts for active touch sensing that are being intensively investigated. They have also illustrated ways that active touch sensing is enabled through specialized sensory transduction channels, biomechanics, structural morphology, behavioral, and control strategies that are implemented by biological systems, and through other advantages that they achieve, including robustness, adaptability, and power efficiency. Similar challenges must be overcome if technological systems are to one day achieve comparable levels of sensorimotor performance to biological systems. Specific topics of interest include: - The design of electronic or biological systems for active touch sensing, their principles of operation (electronic, biological, mechanical) and performance. - Biomechanical aspects of active touch sensing. - Relations between active touch sensing and behavior, especially motor activity. - Sensory information processing and sensorimotor control strategies in humans, animals, or robots related to active touch sensing, including behavioral, physiological or neuroscience investigations, and neural control. - Learning by active touch. - Applications to the design of haptic interfaces. Authors should specifically include a discussion of how their results shed light on fundamental aspects of active touch sensing rather than assuming that this can be inferred from context. Submission process: Visit http://www.computer.org/toh <http://www.computer.org/toh> to view formatting requirements, and submit your paper at https://mc.manuscriptcentral.com/th-cs <https://mc.manuscriptcentral.com/th-cs>. When uploading your paper please select the appropriate special issue title under the category “Manuscript Type.” Further detail: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6901353 <http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6901353> _________________________________________________________ Yon Visell, PhD Assistant Professor Drexel University | Electrical and Computer Engineering Philadelphia, USA www.re-touch-lab.com <http://www.re-touch-lab.com/> Office: +1 215 571 4507 Mobile: +1 267 800 8960 _________________________________________________________

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Postdoctoral position - in vivo multiphoton imaging
by Simon Schultz May 13, 2015

May 13, 2015

Job Title Research Associate –Two Photon Imaging of Alzheimer’s Disease Department/Division/Faculty Department of Bioengineering - Centre for Neurotechnology Salary Range: £33,410 - £42,380 per annum South Kensington Campus Full time, fixed-term for 36 months The Centre for Neurotechnology forms part of the cross-departmental Institute of Biomedical Engineering at Imperial College London. The Centre, in association with the Department of Bioengineering, hosts world-class experimental facilities for research at the interface between neuroscience and engineering. The Centre has recently initiated a philanthropically funded project on the application of biomedical engineering principles to understand how the progression of Alzheimer’s Disease affects information processing in cortical circuits, and test new therapeutic interventions. Applications are invited for the above post to work with Dr Simon Schultz on in vivo two photon imaging of calcium signals in the dendrites of neocortical pyramidal cells. The aim of this work is to understand how synaptic integration changes during the progression of Alzheimer’s Disease, and to test the effects on dendrites of new therapeutic strategies being developed for the treatment of Alzheimer’s. Candidates must be in possession of a doctoral degree or equivalent in neuroscience, physics, engineering, or similar. Prior experience with in vivo two photon imaging is a requirement. Preference will be given to candidates with both a strong experimental background, and experience in quantitative neurophysiological data analysis using MATLAB. This post will be based at the South Kensington Campus. Closing Date 14 June 2015 (midnight BST) Email s.schultz(a)imperial.ac.uk for any queries about the position. How To Apply Our preferred method of application is online via http://www.imperial.ac.uk/job-applicants/ Please submit a CV as well as an application form for this post.

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Comp Neuro List Submission for jobs
by Ben Hayden May 13, 2015

May 13, 2015

The Hayden Lab at the University of Rochester is looking to hire two post-docs in systems and/or computational neuroscience. Our lab investigates the neuronal mechanisms of economic choice, reward cognition, and self-control. We are especially interested in the cingulate cortex, the orbital surface, and the striatum. We use simple gambling tasks, naturalistic foraging tasks and game theoretic decisions, including multi-monkey interaction. We are particularly interested in devising and testing computational models of economic choice, foraging decisions, and self-control, using attractor network, PDP network, and swarm cognition models. We focus on non-human primate recordings, although we are also looking for a purely theoretical post-doc as well. Prior experience in computer programming or statistics highly recommended. The successful candidate will build a portfolio either purely in theoretical/computational neuroscience or in single unit physiology. The University of Rochester is an equal opportunity employer. Standard NIH salary range applies. Lab website: http://haydenlab.com If interested, send an email to benhaydenlab(a)gmail.com.

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Post-doc fellowship on computational neurosciences and stereoscopic vision
by cottereau＠cerco.ups-tlse.fr May 12, 2015

May 12, 2015

Post-doc fellowship with Benoit Cottereau on computational neurosciences and stereoscopic vision Centre de Recherche Cerveau et Cognition, Toulouse, France Starting date: September December 2015 A postdoctoral research position is available to work with Benoit Cottereau (CNRS Researcher) in the ECO-3D team of the CerCo laboratory (Toulouse, http://www.cerco.ups-tlse.fr/?lang=en) The aim of the project is to develop new models of stereoscopic vision in primate that automatically become selective to the most frequently occurring 3D properties of their visual environment (e.g. 3D motion direction). These models will possibly be validated through experimental data (psychophysics and brain imaging in both human and non-human primates). The applicant should hold a solid background in computational neurosciences, signal processing as well as skills in programming. Knowledge on vision in primate would be highly appreciated. The city of Toulouse is an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border). The position is for 18 months with standard French salaries. Applications should be sent to benoit.cottereau(a)cerco.ups-tlse.fr including a CV and 2 names of references.

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5th Bernstein Sparks Workshop: Neural models of decision making in natural inference tasks - from theory to experiment
by Ralf M. Haefner May 12, 2015

May 12, 2015

5th Bernstein Sparks Workshop: Neural models of decision making in natural inference tasks - from theory to experiment June 11-12, 2015 in Tübingen, Germany Abstract submission and registration deadline: May 20, 2015 (attendance limited: first come, first served) Detailed information at http://www.bccn-tuebingen.de/events/5th-bernstein-sparks-workshop-2015.html Confirmed Speakers: • Wieland Brendel (University of Tuebingen) • David Cox (Harvard University) • Jaime de la Rocha (IDIBAPS, Barcelona) • Nicolas Heess (Google DeepMind) • Mate Lengyel (University of Cambridge) • Wolfgang Maass (Technical University Graz) • Hendrikje Nienborg (University of Tuebingen) • Andreas Tolias (BCM Houston) • Dan Yamins (MIT) • Rich Zemel (University of Toronto) The brain needs to extract behaviorally relevant information from sensory signals which contain only indirect, incomplete and highly variable information about the world. Beginning with the study of the neural basis of random dot motion discrimination in the late eighties, neural decision making has been studied extensively in neuroscience. However, the models used to reason about decision making do not account for the computational complexity of natural inference tasks such as object recognition, speech recognition or alike. Based on recent advances in machine learning more and more complex artificial neural networks are developed that become increasingly proficient in mimicking perceptual inference abilities of humans and animals. As a side effect of their popularity in technology, the increasing availability and diversity of high-performing neural network models opens a new door for studying the neural mechanisms of robust decision making. Important differences between these networks are the presence or absence of feedback connections, the presence or absence of stochasticity, and the diversity of different nonlinear mechanisms. The existence of this diversity mirrors important discussions in neuroscience on the role and effect of feedback signals is in the brain [1], whether the brain represents and computes with probabilities [2], whether feedback signals are essential for performing probabilistic inference in hierarchical models [3], and whether neural stochasticity can be interpreted in terms of sampling [4] or regularization such as dropout [5]. As a joint effort between theoreticians and experimentalists, the goal of this Sparks workshop will be to survey and discuss the role of these mechanisms for robust decision making in artificial and real neural networks and to derive discriminative experimental tests and tools that seem most promising to analyze them. [1] Gilbert & Li, Nat Rev Neuro 2013 [2] Pouget et al, Nat Rev Neuro 2013 [3] Lee & Mumford, JOSA 2003 [4] Fiser et al., TICS 2010 [5] Srivastava et al, JMLR 2014 Organizers: • Matthias Bethge (BCCN Tübingen) • Ralf Haefner (University of Rochester) • Richard Hahnloser (University of Zürich) • Bernstein Coordination Site (BCOS)

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ECMLPKDD 2015: Summer School on Data Sciences for Big Data - Resource Aware Data Mining
by ECMLPKDD 2015 May 11, 2015

May 11, 2015

>From 2nd to 5th of September 2015, the TU Dortmund University and LIAAD-INESC TEC will organize a Summer School on Data Sciences for Big Data - Resource Aware Data Mining. The School will be hosted at Faculty of Sciences, University of Porto and is collocated with <http://ecmlpkdd2015.org/> ECMLPKDD 2015 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (http://www.ecmlpkdd2015.org/) For the summer school, world leading researchers in machine learning and data mining will give lectures on recent techniques dealing with huge amounts of data, spatio-temporal streaming data, distributed and graph data, sensors and embedded systems. The summer school is designed for Master and PhD students, and professionals who wanted to learn cutting edge techniques for data mining with constrained computational resources. For further details go to: <http://www.ecmlpkdd2015.org/summer-school/about> http://www.ecmlpkdd2015.org/summer-school/about

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ICSLANE: CALL FOR ABSTRACTS AND CONTRIBUTED TALKS
by Alessandro Barardi May 10, 2015

May 10, 2015

----------------------------------------- SECOND ANNOUNCEMENT --------------------------------------- International Conference on System Level Approaches to Neural Engineering (ICSLANE) Dates September 21st – 23rd 2015 Deadline registration 30th May Venue Barcelona Biomedical Research Park <http://www.prbb.org/>, Barcelona, Spain Website http://www.neural-engineering.eu/BarcelonaConference2015/index.html We invite you to submit poster abstracts and apply for contributed talks We introduced a one-day participation option: now you can attend one day of the conference for 80 Euros. The program per day with its outstanding list of confirmed speakers is already available here: http://www.neural-engineering.eu/BarcelonaConference2015/index.html The aim of this interdisciplinary conference is to bring together theoretical and experimental neuroscientists, roboticists and microfluidics experts to present and discuss the state of the art in the field of neural engineering. It is designed to provide fertile grounds for establishing collaborations between classical neuroscientists and leaders in the up-and-coming robotics and microfluidics fields to develop novel neural engineering techniques and promote the understanding of the brain. It will also give the researchers an opportunity to present their work by contributed talks or during poster sessions. ----------------------------------------------------- PROGRAM --------------------------------------------------- Keynote speakers Eugene Izhikevich - Brain Corporation, San Diego, CA, USA. Opening talk, Day 1 Nikos Logothetis - Director Max Planck Institute for Biol Cybernetics, Germany. Closing talk, Day 3 Day 1 Brain-on-chip - engineering of neuronal circuits in-vitro with emphasis on microfluidics Albert Folch - Department Bioengineering, University of Washington, Seattle, USA Thibault Honegger - Laboratoire des Technologies de la Microelectronique, CNRS-CEA, France Yoonkey Nam - Department for Bio and Brain Engineering, KAIST, South Korea Optical neurotechnology Methodology - imaging and engineering techniques that allow recording of neuronal activity Amanda Foust - Neural Coding Laboratory, Imperial College London, London, UK Fritjof Helmchen - Brain Research Institute, University of Zürich, Zürich, Switzerland Adam Packer - Department of Neuroscience, Physiology & Pharmacology, UCL, UK Eftychios Pnevmatikakis - Department of Statistics & Center for Theoretical Neuroscience, Columbia University, New York, USA Day 2 Neural Dynamics - mathematical description of neuronal activity Viktor Jirsa - Institut de Neurosciences des Systèmes, Marseille, France David Liley - Swinburne University of Technology, Melbourne, Australia Benjamin Lindner - Bernstein Center for Computational Neuroscience,Germany John Terry - College of Engineering, Mathematics & Physical Sciences, University of Exeter, UK Neural learning and control - motion planning, controlling and learning neuro-inspired techniques for robotics Dario Farina - Bernstein Center for Computational Neuroscience, Germany Sami Haddadin - Institute of Automatic Control, Hannover, Germany Alexandre Pouget - CMU, Geneva, Switzerland Gregor Schöner - Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany Reza Shadmehr - John Hopkins University, Baltimore, USA Patrick van der Smagt - BRML labs, TUM, Germany Day 3 Neural Coding - investigation of neuronal strategies for encoding information Andre Bastos - The Picower Institute for Learning & Memory at MIT, Boston, USA Romain Brette - Institut de la Vision, Paris, France Sophie Deneve - Laboratoire de Neurosciences Cognitives, LNC, Paris, France Kenneth Harris - Institute of Neurology & Department of Physiology, Pharmacology & Neuroscience, UCL, UK Stefano Panzeri - Neural Computation Lab, IIT, Rovereto, Italy Jan Schnupp - Auditory Neuroscience Group, Oxford, UK --------------------------------------------------- REGISTRATION --------------------------------------------------- Deadline Registration 30th May Conference fee 200 Euros (plus 50 Euros for optional conference dinner) One-day Conference fee 80 Euros The single-day participation option still allows to apply for a contributed talk or a poster. Registration can be done on our registration form <https://www.eventbrite.co.uk/e/international-conference-on-system-level-app…>. Details about the payment will be posted on the conference website. -------------------------------------- CALL FOR POSTERS AND TALKS ------------------------------------- Posters will be selected from half-page abstracts, which should be submitted by email to nett.barcelona.2015(a)gmail.com. Please specify in the object to which theme panel you are submitting your abstract. We invite you to apply for contributed talks. Please send a half-page abstract to nett.barcelona.2015(a)gmail.com. Selected talks will be scheduled for Wednesday afternoon. Each talk should be about 15 minutes long. Abstract Submission closes: 30th May Abstract Acceptance Notification: 30th June This International Conference on System Level Approaches to Neural Engineering conference is organised by the Fellows of the NETT consortium (Neural Engineering Transformative Technologies <http://www.neural-engineering.eu/>). We cordially invite you to participate in this meeting that will take place in Barcelona, Spain, on September 21st – 23rd, 2015. The NETT consortium is a Marie Curie Initial Training Network involving neuroscience research laboratories from the UK, France, Italy, the Netherlands, Spain and Portugal, and industrial partners. The network is coordinated by Professor Stephen Coombes from the University of Nottingham, UK, and this three-days long event is part of a series of training events organised by the NETT consortium. Best regards, On behalf of the NETT Fellows, Alessandro Barardi, PhD student. Neural Engineering Transformative Technologies <http://www.neural-engineering.eu/> Universitat Politècnica de Catalunya, Universitat Pompeu Fabra. Barcelona, Spain.

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CNS*2015 Meeting in Prague, Early registration ends on May 14
by Tam, Nicoladie May 10, 2015

May 10, 2015

CNS*2015 Meeting in Prague, Czech Republic. Early registration for members ends on May 14, 2015, 11 pm, Pacific Time, USA, after which the registration price will increase. Meeting Info: Tutorial: July 18, 2015 Main Meeting: July 19-21, 2015 Workshop: July 22-23, 2015 http://www.cnsorg.org/cns-2015-prague See you all in Prague.

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new Purkinje neuron paper; alcohol action
by MICHAEL FORREST May 8, 2015

May 8, 2015

Group members may be interested in this new paper. Forrest MD (2015) Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster. BMC Neuroscience 16(1):27.http://www.biomedcentral.com/1471-2202/16/27 Contributions of the paper: (1) New detailed computational model of the cerebellar Purkinje neuron (coded in NEURON and available in modelDB)(2) New reduced (2 compartment) model of the Purkinje neuron that runs >400 times faster than the detailed model. This reduced model replicates the behavior of the full model and can be used (a) in network simulations, to investigate how distinctive single neuron Purkinje behaviors are important to network and system function (b) as a proxy to find parameter values that will permit the full model to replicate new behavior (this is a massive help as parameter searches with the full model - that often have to be conducted manually - are typically very slow, given its large computational cost).(3) It shows a new reduction method - for producing a faithful 2-compartment surrogate model of a detailed multi-compartment model. We apply it to the Purkinje neuron but we envisage that it will be equally applicable to other neuron types - so please try it with your own neuron model investigations. The collapse NEURON code is included in the modelDB entry. (4) It further confirms our prior work which shows that the the sodium-potassium pump controls the intrinsic firing mode of Purkinje neurons; and that the sodium-potassium pump is a computational element in the cerebellum and the brain. This is a significant re-appraisal of the role of these pumps, which previously were thought to have no direct role in brain computations.(5) Why do people fall over when drunk? This paper suggests that alcohol corrupts body movements by inhibiting sodium-potassium pumps in the cerebellum. Kindest regards,Michael

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