June 2014 - Comp-neuro - lists.cnsorg.org

New code repository for Comp Neuro undergrad course materials

by Rob Clewley

Hi, I have taught two introductory comp neuro classes based mostly on Hugh Wilson's great book, with some additional material from Izhikevich's recent book. The course is intended to be a very practical introduction to the basics of DEs and dynamical systems for modeling neural systems. It focuses on electrophysiology of single neurons and small networks, and is split between lecture and lab format. I have updated a lot of the codes from Wilson's book and put them into PyDSTool, or at least in Python. I never got the chance to rigorously organize these codes, but have decided to post them on github as they are because I've already been contacted by some instructors who wanted to to use PyDSTool for their comp neuro class. There are some homework and project ideas up there too. Feel free to fork and contribute on github for others to benefit from any further input. https://github.com/robclewley/compneuro http://www.ni.gsu.edu/~rclewley/Teaching/CompNeuro/NEUR4030.html Best, Rob -- Robert Clewley, Ph.D. Assistant Professor Neuroscience Institute and Department of Mathematics and Statistics Georgia State University PO Box 5030 Atlanta, GA 30302, USA tel: 404-413-6420 fax: 404-413-5446 http://neuroscience.gsu.edu/rclewley.html

June 3, 2014

Applicant Call for Goettingen's Computational Neuroscience Summer Course

by Maximilian Puelma Touzel

Applications are invited for the 12th summer course on COMPUTATIONAL NEUROSCIENCE in Göttingen, Germany September 08th - 12th, 2014 Organized by Agostina Palmigiano, Joscha Liedtke and Maximilian Puelma-Touzel The course is intended to provide graduate students and young researchers from within and outside of neuroscience with working knowledge of theoretical and computational methods used in the field and to acquaint them with recent developments therein. The focus of this year's course is modelling and theory of neuronal ensembles. The course includes tutorials and lectures from the following researchers: * Carl Van Vreesijk, Universite Rene Descartes, Paris, France * Claudia Clopath, Imperial College London, London, England * Srdjan Ostojic, École Normale Supérieure, Paris, France * Gasper Tkacik, Institute of Science and Technology, Vienna, Austria * Alfonso Renart, Champalimaud Centre for the Unknown, Lisbon, Portugal The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. Course language is English. To apply please fill out the application form at: http://www.bccn-goettingen.de/events/cns-course by *August 5, 2014* Best wishes and looking forward to seeing you in Göttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile mptouzel(a)nld.ds.mpg.de www.nld.ds.mpg.de Maximilian Puelma Touzel Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile <mailto:mptouzel@nld.ds.mpg.de> mptouzel(a)nld.ds.mpg.de <http://www.nld.ds.mpg.de/> www.nld.ds.mpg.de

June 3, 2014

PhD position in computational modelling

by Jane Neumann

The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Center (CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital are offering a PhD studentship in computational modelling. Within the project, computational modelling is used to investigate leaning and decision-making in humans. The project is aimed at the multi-modal integration of available and newly acquired behavioral, structural/functional magnetic resonance imaging (MRI), PET and genetic data towards comprehensive computational and neurocognitive models of cognitive control over behavior. Work will be carried out at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Both Leipzig's long tradition in conducting neuroscientific research and the ultra-modern equipment at the Max Planck Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network. Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, maths, psychology, biology, cognitive science or related. Prior experience in the fields of computational neuroscience and/or neuroimaging are of great advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants. Please send your application as a single pdf-file to neumann(a)cbs.mpg.de referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates. Informal enquiries should be made to Dr Jane Neumann (+49 (0) 341 99 40 26 21). For meeting Dr. Neumann and Dr. Horstmann at *OHBM 2014*, please send an email to neumann(a)cbs.mpg.de or horstmann(a)cbs.mpg.de including days and times when you are available during the conference. The salary is based on the German E 13 TV-L salary scale. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. Deadline for application: until position is filled Further details about the project can also be found at www.o-brain-project.de

June 3, 2014

[meetings] Living Machines III: Call for Participation in Conference, Demos and Workshops

by Nathan F Lepora

_____________________________________________________________ Call for Participation in Conference, Demos and Workshops Living Machines: The 3rd International Conference on Biomimetic Robotics and Biohybrid Systems. A Convergent Science Network Event 29th July to 1st August 2014 Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano http://csnetwork.eu/livingmachines/conf2014 ______________________________________________________________ News & Highlights * Deadline for early registration, June 30th, 2014. * Book on time accommodation for good value and availability. see LM2014 for suggestions http://csnetwork.eu/livingmachines/conf2014/accommodation * Main conference programme now online, 6 plenary talks, 1 invited talk, 18 single-track oral presentations, 10 poster spotlights, 40 posters. * 4 satellite workshops also available for registration as separate events, topics include autonomous locomotion systems, the robot self, emergent social behavior, and biomimetics in design. * Bring a demo, be it a robot or an installation, for an exhibition on biomimetic robots, biohybrid computer art, live robot performance or videos. * If you wish to bring a demo please contact us. info.csnetwork(a)upf.edu * If you need help with transporting your demo to Milano contact us at info.csnetwork(a)upf.edu * You can book the social dinner as a separate event. Contact info.csnetwork(a)upf.edu for all enquiries. ABOUT LIVING MACHINES 2014 The 3rd International Conference on Biomimetic and Biohybrid systems comprises 4 days of events including 3 days of single-track oral presentations with 6 plenary speakers; a 1-day with five satellite workshops on themes ranging from autonomous robots to robot “selves” to biomimetics in design and social impacts of living machines. On Wednesday there will be a reception offered by the Tailor & Francis group http://www.taylorandfrancis.com/ and, on Thursday there will be the LM2014 banquet. We hope you will join us for this exciting programme! The conference registration site is open. Please register soon to take advantage of early registration—deadline June 30th ***From every accepted paper at least 1 author must be registered and present at the Conference*** CONFERENCE PROGRAMME **Program now available online** http://csnetwork.eu/livingmachines/conf2014/programme The main conference will take the form of a single-track oral presentation programme, 30th July to midday 1st August 2014 that will include 6 plenary lectures from leading international researchers in biomimetic and biohybrid systems. Agreed speakers are: Mandyam Srinivasan Queensland Brain Institute, Australia Insect-inspired cognition and vision Andrew Schwartz University of Minnesota, Pittsburgh, USA Neural control of prosthetics Sarah Bergbreiter University of Maryland, USA Microrobotics Darwin Caldwell Italian Institute of Technology, Genova, Italy Legged Locomotion Ricard Sole Universitat Pompeu Fabra, Barcelona, Spain Evolution of complex networks Minoru Asada Osaka University, Japan Cognitive and Affective Developmental Robotics There will also be 18 regular talks of 30 min, 1 invited talk on Thursday at midday on Biomimetics in Design by Franco Lodato, 10 Poster Spotlights of 5 min and 2 poster sessions of 90 mins each (midday of July 30st and August 1st) featuring 40 posters. Particular themes include: Soft Robotics Neuromechanics Social Robotics Locomotion Biohybrid Brain-based Active Sensing WORKSHOPS In addition to the main conference there is one further day of workshops, each with their own full program that will be available soon on the Living Machines website. Monday 29th July Embodied Interaction and Internal Models: Key Features of Autonomous Locomotion Systems - Organisers: Volker Dürr, Biological Cybernetics, Bielefeld University, Germany, Paolo Arena, Electrical Engineering, University of Catania, Italy The Robot Self - Organizers: Tony Prescott, University of Sheffield, UK; Paul Verschure Universitat Pompeu Fabra Barcelona, CSNII Emergent social behaviours in bio-hybrid systems - Organizers: José Halloy: Universite Paris Diderot. Thomas Schmickl: Karl-Franzens-University Graz, Stuart Wilson, University of Sheffield Rotational Geometry and the Creation of Bionic Models. - Organizers: Pino Trogu, San Francisco State University, USA, Franco Lodato, Creative Director VSN Mobil with Istituto Europeo di Design, Milano Neuro-chip interfaces and Neuroprostheses - Organizers: Stefano Vassanelli, University of Padova, Italy Attendance at workshops will attract a small fee intended to cover the costs of the meeting. We have reserved meeting rooms at the Italian Institute of Technology in Milan each with capacity for up to 40 people. Please book early. Separate registration for satellite events is possible. ABOUT THE VENUE The organisers are delighted to have secured the Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano as the main venue for our conference. The museum is a centre dedicated to Leonardo da Vinci a symbol of the connection between artistic and scientific-technological cultures, two complementary expressions of human creativity. KEY DATES June 30th 2014 Deadline for early registration July 30th - August 1st 2014 Conference We are looking forwards to seeing you in Milano. ORGANISING COMMITTEE Tony Prescott (co-chair) Paul Verschure (co-chair) Armin Duff (programme chair) Roberto Cingolani (local organizer) Barbara Mazzolai (workshops) Nathan Lepora (communications) Anna Mura (communications and web-site) Contact and Conference Secretariat: Info.csnetwork(a)upf.edu living-machines(a)sheffield.ac.uk

June 3, 2014

[PhD] Natural scene statistics and visual motion processing in humans and non-human primates

by Laurent Perrinet

Dear List, Applications are invited for 3 PhD positions funded by the PhD program in Integrative and Clinical Neurosciences (http://www.int.univ-amu.fr/PhD-Program-in-Integrative-and) as described in: http://www.int.univ-amu.fr/IMG/pdf/List_of_research_projects.pdf among which the following ---at the Institute of Neurosciences, Timone in Marseille, France--- may be of interest to the list. Deadline for applications is June 15th. Cheers, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet Title: Natural scene statistics and visual motion processing in humans and non-human primates Supervisor: Guillaume MASSON Laboratory: Institute of Neurosciences, Timone (INT) State of the art: The mammalian visual system is tuned to process the complex, high-dimension statistics of natural scenes. For instance, neuronal responses to natural inputs are more ﬁnely tuned, more temporally precise and more sparse. A major challenge is to understand how such complex information is integrated to measure perceptual quantities such as object motion in a crowded environment. From a theoretical perspective, this implies to understand how the cascade of cortical processing steps extracts the relevant dimensions through linear (e.g. ﬁltering) and nonlinear (e.g. gain control, contextual modulation) mechanisms. From an experimental perspective, the challenge implies to design behavioural tasks that can dissect out these mechanisms. The classical approach is to compare classic, low-dimension stimuli such as gratings or dots with natural images. However, it is almost impossible to parametrize natural scenes in a useful way. We [1], and others [2], have designed and begun to use naturalistic stimuli as static or dynamic textures of which mean and variance along each parameter space is manipulated to demonstrate how sensory systems sense and represent information. We have recently shown in Nature Neuroscience3 that richer textures drive more accurate and reliable ocular tracking responses. This is the ﬁrst demonstration that naturalistic inputs processing can be probed using sensorimotor tasks. Objectives: Our objective is to demonstrate that in human and non-human primates, estimating direction and speed of a moving object requires to integrate information from the multiple spatial and temporal scales existing in natural scenes. We will investigate how different spatiotemporal frequency channels are nonlinearly combined to drive faster and more precise tracking eye movements. In particular, we will extend our previous study [3] by studying how richness of visual motion information reduces the variability of motor responses, within and across trials. We will also study how the geometric organization of the texture input impacts performance, opening the door to understanding the link between low-level motion processing and the perceptual organization of complex scenes. Methods: The approach is based on probing low-level visual processing through the dynamics of reﬂexive eye movements. Ocular following responses exist in both humans and non-human primates and over the last 15 years we, and others have shown how they can probe low-level motion mechanisms. The PhD will work in non-human primates to conduct behavioural experiments using random phase textures and recording eye movements with the scleral search coil technique. Behavioural performance will be assessed through kinematics (acceleration, latency…) as well as through detection and discrimination tasks (i.e. comparison between responses for two stimuli). Expected results: A ﬁrst step will be to reproduce the main observation made in humans: richness of the inputs improves precision and decreases variability. Then we will characterize the nonlinear interactions between spatiotemporal channels underlying speed estimation through motion energy and their temporal dynamics. Feasibility: This project is supported by an ANR project (SPEED) that started in October 2013. The PhD student will work in close collaboration with a PD fellow working in humans as we expect the ﬁrst series of experiments to be identical in both species. A non-human primate set-up is available and a research assistant (F Barthelemy) will daily supervise the lab work. The InViBe team has strong expertises in modelling and electrophysiology so that the project will open the door for collaborative work in texture synthesis and speed processing modelling with Laurent Perrinet and recording of population activity evoked with dense, naturalistic textures with Fred Chavane. 1 Sanz-Léon et al. (2012) J Neurophysiol http://invibe.net/LaurentPerrinet/Publications/Sanz12 2 Freeman et al. (2013) Nature Neuroscience 3 Simoncini et al. (2012) Nature Neuroscience http://invibe.net/LaurentPerrinet/Publications/Simoncini12 Listed as Research project #18 in: http://www.int.univ-amu.fr/IMG/pdf/List_of_research_projects.pdf More Guidelines: In 2014, the PhD program in Integrative and Clinical Neurosciences will fund three PhD scholarships to excellent Master graduates from non-French top ranked universities The selection process includes the following steps : Nineteen research projects of excellence from AMU laboratories have been selected by the board of the PhD program. Applicants have to select and rank two research projects and motivate their choice The selection committee will shortlist 10 students that will be individually interviewed in June The final decision will be known in July and the three successful candidates will start their PhD in October. Guidelines for students The scholarships are open to high performing Master graduates from top ranked non-French universities. Applicants must provide the following documents : A first e-mail should be sent by you to edsvs-neuroscience-phd-program(a)univ-amu.fr with the subject "PhD Application, YourName" [1] and three documents in the appropriate format : a Curriculum Vitae. This document should be named "YourName_CV.doc" a document highlighting the adequacy between the applicant’s background and the selected research projects (to be download here). Please use the following template to be download here. This document should be named "YourName_ResearchProjects.doc" . a one page letter of motivation (500 words). This document should be named "YourName_motivation_letter.doc" . two letters of recommendation will have to be sent directly to edsvs-neuroscience-phd-program(a)univ-amu.fr with the subject "Recommendation, YourName" , using the following template to be download here. This document should be named "YourName_Evaluation.doc". Closing date for applications : Sunday, June 15th, at midnight (French time). Scholarship value : Net monthly salary : 1,368 €. Expenses : applicants will pay their annual tuition fee (around 500 €) and, when needed, their visa fee. Tenure of award : 3 years General rules Any incomplete application will not be considered How and when do students learn about the decision ? Offers of PhD scholarships will be made soon after the final individual interview, early July. Because some applicants may decline a scholarship, it is possible that some applicants receive their notification of selection a week after the final decision What conditions are attached to acceptance of this award ? Scholarship recipients must sign a Postgraduate Scholarships Contract agreeing to abide by the attached regulations. Recipients will be required to devote themselves full-time to their program of research during the tenure of the scholarship Selection committee : members of the PhD program board and members of the AMU neuroscience community. None of them will be the supervisor of a proposed research project

June 3, 2014

[meetings] [ECCV2014] CfP: Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014)

by Karthik Mahesh Varadarajan

========================================================================== *Call for Papers- Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis* (in conjunction with ECCV 2014), September 7, 2014, Zurich, Switzerland http://affordances.info/workshops/ECCV.html ========================================================================== The workshop seeks to address key challenges in computer vision and applications such as robotics with regard to functional form descriptions, which are termed as "affordances". Based on the Gibsonian principle of defining objects by their function, "affordances" have been studied extensively by psychologists and visual perception researchers, resulting in the creation of numerous cognitive models. These models are being increasingly revisited and adapted by computer vision researchers to build visual perception and behavioral algorithms in recent years. This workshop attempts to explore this nascent, yet rapidly emerging field of affordance based cognitive vision (recognition of objects, activities, scenes etc.) while integrating the efforts and language of affordance communities not just in computer vision, but also psychophysics and neurobiology by creating an open affordance research forum, feature framework and ontology called AfNet (theaffordances.net) In particular, the workshop will focus on emerging trends in affordances and other human-centered function/action features that can be used to build computer vision algorithms leading to various intelligent applications. The workshop will also feature contributions from researchers involved in traditional theories to affordances, especially from the point of view of psychophysics and neuro-biology. Avenues to aiding research in these fields using techniques from computer vision and cognitive robotics will also be explored. Primary topics addressed by the workshop include the following among others - Affordances in visual perception models - Affordances as visual primitives, common coding features and symbolic cognitive systems - Affordances for object recognition, search, attention modulation, functional scene understanding and classification - Object functionality analysis - Affordances from appearance and touch based cues - Haptic adjectives - Functional-visual categories for transfer learning - Actions and functions in object perception - Human-object interactions and modeling - Motion-capture data analysis for object categorization - Affordances in human and robot grasping - Affordance learning - Affordance ontologies - Knowledge bases for affordances and affordance modeling Understanding various challenges in the field of affordances and building a common language and framework for communication across the varied affordance communities are the key goals of the proposed workshop. Through the course of the workshop, we also envisage the establishment of a working group for AfNet. *Paper Submissions* Paper contributions to the workshop are solicited in four different formats. This departure from the regular format is intended to promote greater contribution and cater to the needs of affordance communities from various disciplines such as Knowledge Representation, Psychology, Psychophysics, Neuroscience, Kinematics, Ontologies besides traditional audience such as from Cognitive/ Computer Vision and Robotics. - *Conceptual papers* (2 pages): Authors are invited to submit original ideas on approaches to address specific problems in the targeted areas of the workshop. While a clear presentation of the proposed approach and the expected results are essential, specifics of implementation and evaluations are outside the scope of this format. This format is intended at exchange and evaluation of ideas prior to implementation/ experimental work as well as to open up collaboration avenues. - *Design papers* (6 pages): Authors submitting design papers are required to address key issues regarding the problem considered with detailed algorithms and preliminary or proof-of-concept results. Detailed evaluations and analyses are outside the scope of this format. This format is intended at addressing late-breaking and work in progress results as well as fostering collaboration between research and engineering groups. - *Experimental papers* (6 pages): Experimental papers are required to present results of experiments and evaluation of previously published algorithms or design frameworks. Details of implementation and exhaustive test case analyses are key to this format. These papers are geared at benchmarking and standardizing previously known approaches. - *Full papers* (14 pages): Full papers must be self-inclusive contributions with a detailed treatment of the problem statement, related work, design methodology, algorithm, test-bed, evaluation, comparative analysis, results and future scope of work. Submission of original and unpublished work is highly encouraged. Since the goal of this workshop is to bring together the various affordance communities, extended versions/ summary reports of recent research published elsewhere, as adapted to the goals of the workshop, will also be accepted. These papers are required to clearly state the relevance to the workshop and the necessary adaptation. The program will be composed of oral as well as Pecha-Kucha style presentations. Each contribution will be reviewed by three reviewers through a single-blind review process. The paper formatting should follow the ECCV formatting guidelines (Templates: LaTeX <http://eccv2014.org/wp-content/uploads/2013/10/eccv2014kit.zip>). All contributions are to be submitted via Microsoft Conference Management Tool <https://cmt.research.microsoft.com/A22014/Default.aspx> in PDF. Please adhere to the following strict deadlines. In addition to direct acceptance, early submissions may be conditionally accepted, in which case submission of a revised version of the paper based on reviewer comments, prior to the late submission deadline is necessary. The final decision on acceptance of such conditionally accepted papers will be announced along with the decisions for the late submissions. Hence, while early submissions will have a better chance of acceptance than late submissions, submission to either (or both) rounds is equally encouraged. *Important Dates* - Initial submissions (Early): 23:59:59 PDT *Jun 10*, 2014 - Notification of acceptance (Early submissions): June 20, 2014 - Initial submissions (Late): 23:59:59 PDT June 25, 2014 - Notification of acceptance (Late submissions): July 15, 2014 - Submission of publication-ready version: July 25, 2014 - Workshop date: September 7, 2014 *Organizers* Karthik Mahesh Varadarajan <http://www.karthikmahesh.com> (varadarajan(at) acin.tuwien.ac.at), TU Wien Alireza Fathi <http://ai.stanford.edu/~alireza/> (alireza(at)cs.stanford.edu) Stanford Juergen Gall <http://www.vision.ee.ethz.ch/~gallju/> (gall(at) iai.uni-bonn.de), Univ. Bonn Markus Vincze <http://www.acin.tuwien.ac.at/index.php?id=231&L=1> (vincze(at)tuwien.ac.at), TU Wien *Speakers and Participants* (To be updated) Fei-Fei Li (Affordances in Computer Vision), Stanford University, USA Abhinav Gupta (Affordances in Computer Vision), Carnegie Mellon University, USA Derek Hoiem (Affordance Semantics), University of Illinois at Urbana-Champaign, USA Ashutosh Saxena (Affordances in Cognitive Robotics), Cornell University, USA Aaron Bobick (Affordances in Robotics), GeorgiaTech, USA *Program Committee* Irving Biederman (USC) Aude Oliva (MIT) Martha Teghtsoonian (Smith College) Barbara Caputo (Univ. of Rome, IDIAP) Song-Chun Zhu (UCLA) Antonis Argyros (FORTH) Tamim Asfour (KIT) Trevor Darrell (UC. Berkeley) Michael Beetz (TUM) Norbert Krueger (Univ. of Southern Denmark) Sven Dickinson (Univ. of Toronto) Erhan Oztop (Ozegin Univ.) Diane Pecher (Erasmus Univ. Rotterdam) Jason Corso (UB New York) Juan Carlos Niebles (Universidad del Norte) Tamara Berg (UNC Chapel Hill) Moritz Tenorth (Univ. Bremen) Dejan Pangercic (Robert Bosch) Roozbeh Mottaghi (Stanford) Xiaofeng Ren (Amazon) David Fouhey (CMU) Tucker Hermans (Georgia Tech) Tian Lan (Stanford) Amir Roshan Zamir (UCF) Hamed Pirsiavash (MIT) Walterio Mayol-Cuevas (Univ. of Bristol)

June 2, 2014

Real-life cognition contest (submission deadline Nov 1 2014)

by Michael Hanke

In order to fully understand how the brain works, it is essential to study the complex inter-play of cognitive processes that are characteristic when interacting with a rich natural environment. Going beyond the localization of individual aspects of brain function is pivotal as there are clear limits to what we can learn about the function of the brain as whole via restricting investigation to specialized cognitive sub-systems in feature deprived laboratory settings. We believe that there is need for more publicly available data on real-life cognition, as well as analysis strategies to study complex concurrent neural processes. We invite research groups and individuals to participate in a contest to master these challenges. As a starting point, we have published a large dataset (functional MRI, simultaneous cardiac and respiratory measurements, technical noise estimates, high-res structural images (T1w, T2w, SWI, angiography, DTI), and stimulus annotations) that is available to anyone without restrictions: Hanke, M., Baumgartner, F.J., Ibe, P., Kaule, F.R., Pollmann, S., Speck, O., Zinke, W. & Stadler, J. (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data, 1. doi:10.1038/sdata.2014.3 Among all submissions that are received until November 1 2014 a jury will determine the best contributions in terms of novelty of the approach, scientific rigor, and potential impact on future research and application. The best three contributions will receive an award (3000, 1500, and 500 Euro respectively) sponsored by the Center for Behavioral Brain Sciences, Magdeburg, Germany. The jury consists of: Uri Hasson (Princeton University) James Haxby (Dartmouth College) Daniel Margulies (MPI Leipzig) Russ Poldrack (U Texas, Austin) Jean-Baptiste Poline (Neurospin) Stefan Pollmann (CBBS, Magdeburg) Peter Ramadge (Princeton University) For more information, demos, and data access visit: http://studyforrest.org

June 2, 2014

PhD Scholarship in Machine Learning for Neuroscience

by Paolo Avesani

PHD SCHOLARSHIP IN MACHINE LEARNING FOR NEUROSCIENCE The Department of Information Engineering and Computer Science (DISI) at the University of Trento and its research partner Fondazione Bruno Kessler (FBK), invites applications for 1 open PhD position covered by scholarship in the area of Machine Learning for Neuroscience. The deadline for applications is June 16, 2014, before 16:00, CET. The PhD research program aims at carrying out research activity on machine learning methodologies for neuroscientific data analysis. The main goal is the design and the deployment of machine learning algorithms for neuroimaging-based neuroscience investigations. The research focuses on three specific tasks: brain decoding, brain mapping and brain connectivity. The challenge is to design effective computational methods for multivariate pattern analysis. The PhD research program will take place at NILab, the Neuroinformatics Laboratory raised as a joint initiative of the Bruno Kessler Foundation and the Center for Mind/Brain Sciences (CIMeC) of the University of Trento. The University of Trento ranks 1st among the Italian Universities in the rankings of Times Higher Education and CIMeC ranks 1st for quality of research in the ranking of the Italian National for the Evaluation of Universities and Research (ANVUR). CIMeC has 6 ERC starting grants and 1 advanced grant. Trento ranks 1st in the annual survey on quality of life in Italian cities conducted by daily Il Sole 24 Ore. Details on the PhD School and a link to the online application are provided below. For further information, please contact info.nilab(a)fbk.eu. Links - PhD School: http://ict.unitn.it/ - DISI: http://disi.unitn.it - FBK: http://www.fbk.eu - NILab: http://nilab.fbk.eu - CIMeC: http://www.cimec.unitn.it

June 1, 2014

Postdoc opening

by Malte Rasch

Our Computational Neuroscience Lab at the Institute for Cognitive & Neuroscience and Learning at the Beijing Normal University (BNU) has an opening for a postdoc working in the field of computational neuroscience. Our lab is interested in neural model building, neural information processing, and data analysis in close collaboration with experimentalist in the areas of neural correlates of perceptual learning in the visual cortex in monkeys, multisensory integration, critical period plasticity in mice, motion integration, group learning in fish, and others. We have very close ties with a number of experimental groups on the campus, including 4 active awake monkey labs, eager to share data. There are thus various possible research projects for a computational postdoc interested in data analysis and model building in close collaboration with experiments. We invite applications from prospective postdocs with background in a computational discipline, such as computational neuroscience, computer science, biophysics, computer vision, or machine learning. Former experience working with neuroscience data is of advantage. The position is open immediately and supported by the Chinese government for 2 years and especially encourages non-Chinese applicants. Eligible candidates must have a recent PhD from a renowned university, strong publication record, fluent English proficiency and have to be younger than 35. Salary is very competitive and adjusted to an international level. Chinese knowledge is no requirement but willingness to learn would help in daily life. The Cognitive & Neuroscience and Learning Institute is a government supported research facility with one of the strongest neuroscience clusters in China. It is located within the urban center of the vibrant city of Beijing with a multitude of attractions and active night life. For more infos on research, see http://www.mjrlab.org and http://brain.bnu.edu.cn/ (English site under construction). If you are interested and qualified, please send a cover letter, CV, transcripts of relevant publications to malte.rasch(a)bnu.edu.cn or wusi(a)bnu.edu.cn. --- Dr. Malte Rasch Associate Professor Neural Data Modelling Group State Key Lab for Cognitive Neuroscience & Learning Beijing Normal University www.mjrlab.org

June 1, 2014