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ICDL-EpiRob 2015 CFP - deadline extended
by Benjamin Rosman March 9, 2015

March 9, 2015

======================================================== NOTE: DEADLINE EXTENDED TO 23 MARCH. Call for Papers, Tutorials and Thematic Workshops New Conference Feature: BABYBOT CHALLENGE IEEE ICDL-EPIROB 2015 The Fifth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics Brown University, Providence, Rhode Island, USA August 13-16, 2015 http://www.icdl-epirob.org/ == Conference description The past decade has seen the emergence of a new scientific field that studies how intelligent biological and artificial systems develop sensorimotor, cognitive, emotional and social abilities, over extended periods of time, through dynamic interactions with their physical and social environments. This field lies at the intersection of a number of scientific and engineering disciplines including Neuroscience, Developmental Psychology, Developmental Linguistics, Cognitive Science, Computational Neuroscience, Artificial Intelligence, Machine Learning, and Robotics. Various terms have been associated with this new field such as Autonomous Mental Development, Epigenetic Robotics, Developmental Robotics, etc., and several scientific meetings have been established. The two most prominent conference series of this field, the International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), are now joining forces for the fifth time and invite submissions for a joint conference in 2015, to explore and extend the interdisciplinary boundaries of this field. == BABYBOT CHALLENGE -- CASH PRIZES FOR THE TOP SUBMISSIONS We are excited to announce a new ICDL-EpiRob conference feature: the BABYBOT CHALLENGE. The goal of the challenge is to use the tools of developmental robotics to replicate and extend the key findings from one of three selected human-infant studies. Please visit www.icdl-epirob.org for the full announcement, including the three target studies, details on the submission process, and a description of how the winning submissions will be judged and selected. == Keynote speakers (confirmed) Prof. Dare Baldwin, Dept. of Psychology, University of Oregon, USA Prof. Kerstin Dautenhahn, School of Computer Science, University of Hertfordshire, UK Prof. Asif Ghazanfar, Department of Psychology, Princeton University, USA == Call for Submissions We invite submissions for this exciting window into the future of developmental sciences. Submissions which establish novel links between brain, behavior and computation are particularly encouraged. == Topics of interest include (but are not limited to): * the development of perceptual, motor, cognitive, emotional, social, and communication skills in biological systems and robots; * embodiment; * general principles of development and learning; * interaction of nature and nurture; * sensitive/critical periods; * developmental stages; * grounding of knowledge and development of representations; * architectures for cognitive development and open-ended learning; * neural plasticity; * statistical learning; * reward and value systems; * intrinsic motivations, exploration and play; * interaction of development and evolution; * use of robots in applied settings such as autism therapy; * epistemological foundations and philosophical issues. Any of the topics above can be simultaneously studied from the neuroscience, psychology or modeling/robotic point of view. == Submissions will be accepted in several formats: 1. Full six-page paper submissions: Accepted papers will be included in the conference proceedings and will be selected for either an oral presentation or a featured poster presentation. Featured posters will have a 1 minute "teaser" presentation as part of the main conference session and will be showcased in the poster sessions. Maximum two-extra pages can be acceptable for a publication fee of $100 per page. 2. Two-page poster abstract submissions: To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 2-page abstracts. These submissions will NOT be included in the conference proceedings. Accepted abstracts will be presented during poster sessions. 3. Tutorials and workshops: We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. Tutorials are meant to provide insights into specific topics as well as overviews that will inform the interdisciplinary audience about the state-of-the-art in child development, neuroscience, robotics, or any of the other disciplines represented at the conference. A workshop is an opportunity to present a topic cumulatively. Workshops can be half- or full-day in duration including oral presentations as well as posters. Submission format: two pages including title, list of speakers, concept and target audience. 4. Babybot challenge (Deadline June 15, 2015): Special submissions are invited for the Babybot challenge, which is for the first time introduced to this conference. For detailed information please visit www.icdl-epirob.org and navigate to “Babybot Challenge.” All submissions will be peer reviewed. Submission website through paperplaza at: http://ras.papercept.net == Important dates March 23, 2015, paper submission deadline May 15, 2015, author notification July 1, 2015, final version (camera ready) due August 13th-16th, 2015, conference == Program committee General Chairs: Matthew Schlesinger (Southern Illinois Univ.) Dima Amso (Brown University) Bridge Chairs: Jeffrey Krichmar (UC Irvine) Bertram Malle (Brown University) Program Chairs: Anne Warlaumont (UC Merced) Clemént Moulin-Frier (INRIA) Publications Chairs: Lisa Meeden (Swarthmore College) Publicity Chairs: Lola Cañamero (Univ. of Hertfordshire) Matthias Rolf (Osaka University) Benjamin Rosman (CSIR) Local chairs: David Sobel (Brown University) Thomas Serre (Brown University) Finance chairs: Clayton Morrison (University of Arizona) -- This message is subject to the CSIR's copyright terms and conditions, e-mail legal notice, and implemented Open Document Format (ODF) standard. The full disclaimer details can be found at http://www.csir.co.za/disclaimer.html. This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. Please consider the environment before printing this email.

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Spatial computation workshop
by Matthew Nolan March 9, 2015

March 9, 2015

[Apologies for cross-posting] Spatial computation: from neural circuits to robot navigation The Informatics Forum, Edinburgh, April 11th, 2015. A workshop focussing on computations underlying navigation from the perspectives of neuroscience and robotics. Confirmed speakers: Kevin Allen (Heidelburg) Neil Burgess (UCL) Margarita Chli (Edinburgh) Michael Hasselmo (Boston) Kate Jeffery (UCL) Jack Mellor (Bristol) Michael Milford (Queensland) Ralph Moeller (Bielefeld) Subramanian (Ram) Ramamoorthy (Edinburgh) Lukas Solanka (Edinburgh) Barbara Webb (Edinburgh) Thomas Wolbers (Magdeburg) Further details and registration here: http://blog.inf.ed.ac.uk/spatialcomputationworkshop/ <http://blog.inf.ed.ac.uk/spatialcomputationworkshop/> --------------- Matt Nolan Professor of Neural Circuits and Computation Centre for Integrative Physiology University of Edinburgh Hugh Robson Building George Square Edinburgh EH8 9XD Telephone: (+44) 131 650 9874 Fax: (+44) 131 650 6527 Web: nolanlab.mvm.ed.ac.uk <http://nolanlab.mvm.ed.ac.uk/> Email: mattnolan(a)ed.ac.uk <mailto:mattnolan@ed.ac.uk> The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Computational Vision Summer School, July 28 - Aug 4, 2015
by Judith Lam March 9, 2015

March 9, 2015

The Bernstein Center Tuebingen invites advanced PhD students and postdocs to apply for the... * ************************************************************************** Computational Vision **Summer **School, **July 28 - Aug 4, 2015* *Freudenstadt-Lauterbad, Black Forest* *Application deadline: April 7, 2015 http://www.bccn-tuebingen.de/training/cvss2015/ ***************************************************************************** The Computational Vision Summer School offers a broad perspective on biological vision with a thorough understanding of the theoretical and computational challenges involved. The school is unique in bringing together people from diverse disciplines who all share a computational view of vision. The faculty consists of renowned senior researchers in the field teaching lectures and providing hands-on tutorials on topics ranging from early vision to image understanding. * Confirmed Speakers: *Jim DiCarlo (MIT, USA) Rob Fergus (Facebook, NY, USA) Andrew Fitzgibbon (Microsoft Research, UK)  Laurence T Maloney (NYU, USA)  Anthony J Movshon (NYU, USA) Aude Oliva (MIT, USA)  Bruno Olshausen (UC Berkeley, USA) Cordelia Schmid (INRIA, France)  Eero Simoncelli (NYU, USA) Garrett Stanley (Georgia Institute of Technology & Emory University, USA)  Raquel Urtasun (U Toronto, Canada)  Brian A Wandell (Stanford University, USA) Andrew Zisserman (U Oxford, UK) *Program Chairs:* Matthias Bethge, Michael Black, Roland Fleming, Felix Wichmann -- Dr. Judith Lam Executive Coordinator Bernstein Center for Computational Neuroscience Tübingen Eberhard Karls University of Tübingen Max Planck Institute for Biological Cybernetics http://www.bccn-tuebingen.de/about-bccn/contact.html Otfried-Müller-Str. 25, 72076 Tübingen Tel: +49 7071 29 89019 Fax: +49 7071 29 25015

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Increased Impact Factor, Number of Issues & Table of Contents Alert: Cognitive Computation journal (Springer): Vol.7, No.1 / Feb 2015 Issue
by Dr Amir Hussain March 8, 2015

March 8, 2015

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 7, No.1 / Feb 2015 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 ================================================================ Important News: Increased Impact Factor & Six bi-monthly Journal Issues from 2015! ================================================================ As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation received its first Impact Factor (IF) of 1.0 in 2011. The IF for 2013/2014 increased to 1.1 (with a first 5 year IF of 1.387) (Thomson Reuters Journal Citation Reports® 2013) Many congratulations to the editors, reviewers and authors of this exciting young journal! Want to be part of the growing success? Visit the journal homepage ( http://springer.com/12559) for instructions on submitting your research. ================================= Quarterly to Bi-monthly Issues, from 2015!! ================================= Due to continuously growing number of high quality submissions, the number of Issues has increased from four (quarterly Issues) to six (bi-monthly Issues) each year, starting Feb 2015! ======================================== The first six papers of the February 2015 Issue comprise a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole´-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0 The 6 Special Issue papers are followed by 8 regular papers. The full listing of 14 published articles (Table of Contents) for this inaugural 2015 Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/7/1/ <http://link.springer.com/journal/12559/6/3/> You may also be interested in the last Special Issue of 2014 (Vol. 6, No.4 / Dec 2014) on "Modeling emotion, behaviour and context in socially believable robots and ICT interfaces", Guest Edited by: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano. The Guest Editorial is available (for free download) here: http://link.springer.com/article/10.1007/s12559-014-9309-5 and the full listing of 24 articles can be found here: http://link.springer.com/journal/12559/6/4/page/1 <http://link.springer.com/journal/12559/6/2/page/1> This exciting Special Issue was the outcome of a strategic trans-disciplinary Workshop organized by EU COST (http://www.cost.eu/) on ‘‘The future concept and reality of social robotics: challenges, perception and applications. Role of social robotics in current and future society,’’ held in Brussels (Belgium). A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer.com/biomed/neuroscience/journal/12559?hideChart=1#realt… Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ============================================ Reminder: Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has nearly 800 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore: Marleen.Moore(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2015-16 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer.com/series/10374 NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 ------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 7 No 1, Feb 2015 -------------------------------------------------------------------------------------------------- Special Issue on "Neural Signal Processing" Issue Editors: Jordi Sole´-Casals, Francois-Benoit Vialatte, Justin Dauwels -------------------------------------------------------------------------------------------------- Alternative Techniques of Neural Signal Processing in Neuroengineering Jordi Solé-Casals , François-Benoît Vialatte and Justin Dauwels http://link.springer.com/article/10.1007/s12559-015-9317-0/fulltext.html Multivariate Synchronization Analysis of Brain Electroencephalography Signals: A Review of Two Methods Mahdi Jalili http://link.springer.com/article/10.1007/s12559-013-9213-4 EEG Correlates of Voice and Face Emotional Judgments in the Human Brain K. Hiyoshi-Taniguchi, M. Kawasaki, T. Yokota, H. Bakardjian, H. Fukuyama, A. Cichocki and F. B. Vialatte http://link.springer.com/article/10.1007/s12559-013-9225-0/fulltext.html Biologically Motivated Model for Outdoor Scene Classification Jingjing Zhao, Chun Du, Hao Sun, Xingtong Liu, Jixiang Sun http://link.springer.com/article/10.1007/s12559-013-9227-y Brain Evoked Potential Latencies Optimization for Spatial Auditory Brain–Computer Interface Zhenyu Cai, Shoji Makino, Tomasz M. Rutkowski http://link.springer.com/article/10.1007/s12559-013-9228-x On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional Temperature K. López-de-Ipiña, J. B. Alonso, J. Solé-Casals, N. Barroso, P. Henriquez, M. Faundez-Zanuy, C. M. Travieso, M. Ecay-Torres, P. Martínez-Lage, H. Eguiraun http://link.springer.com/article/10.1007/s12559-013-9229-9 Embedded Implementation of Second-Order Blind Identification (SOBI) for Real-Time Applications in Neuroscience Xun Zhang, François-Benoît Vialatte, Chen Chen, Apurva Rathi, Gérard Dreyfus http://link.springer.com/article/10.1007/s12559-014-9282-z -------REGULAR PAPERS------------------------ Model of the Reticular Formation of the Brainstem Based on Glial–Neuronal Interactions Bernhard J. Mitterauer http://link.springer.com/article/10.1007/s12559-014-9260-5 A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning Shi-Xiong Xia, Fan-Rong Meng, Bing Liu, Yong Zhou http://link.springer.com/article/10.1007/s12559-014-9256-1 Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks N. Ampazis, S. J. Perantonis, D. Drivaliaris http://link.springer.com/article/10.1007/s12559-014-9263-2 A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function Vasily Sachnev, Savitha Ramasamy,Suresh Sundaram, Hyoung Joong Kim, Hee Joon Hwang http://link.springer.com/article/10.1007/s12559-014-9268-x Agent-Based Modeling of Emotion Contagion in Groups Tibor Bosse, Rob Duell, Zulfiqar A. Memon, Jan Treur, C. Natalie van der Wal http://link.springer.com/article/10.1007/s12559-014-9277-9 Robust and Sparse Linear Programming Twin Support Vector Machines M. Tanveer http://link.springer.com/article/10.1007/s12559-014-9278-8 Classification of Uncertain Data Streams Based on Extreme Learning Machine Keyan Cao, Guoren Wang, Donghong Han, Jingwei Ning, Xin Zhang http://link.springer.com/article/10.1007/s12559-014-9279-7 A Cognitively Inspired Approach to Two-Way Cluster Extraction from One-Way Clustered Data Ahsan Abdullah, Amir Hussain http://link.springer.com/article/10.1007/s12559-014-9281-0 --------------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 <http://link.springer.com/journal/12559/6/2/page/1> The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journal/12559/6/4/page/1 <http://link.springer.com/journal/12559/6/2/page/1> -- The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*. 94% of our 2012 graduates were in work and/or further study within six months of graduation. *The Telegraph The University of Stirling is a charity registered in Scotland, number SC 011159.

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Postdoctoral position in computational neuroscience (sensory processing & decision-making)
by Ralf Haefner March 5, 2015

March 5, 2015

A postdoctoral position is available in the group of Ralf Haefner in the department for Brain & Cognitive Sciences at the University of Rochester (NY). The focus of our group is on understanding the neural basis of perceptual inference. Based on the assumption that the brain performs probabilistic inference using an internal model of the world, we ask questions such as: What is the nature of the internal model? How is it learnt? How are posterior beliefs represented by spiking responses of populations of neurons and what algorithm does the brain use to compute its beliefs? The position requires strong mathematical and good programming skills. The ideal candidate would also be familiar with (or quick to pick up) machine learning techniques, especially relating to probabilistic graphical models and MCMC sampling. Possible research projects range from purely theoretical to data-driven. Our collaborations with electrophysiology labs allow for the testing of theoretical models using state-of-the-art cortical population recordings in behaving animals and, if desired, the opportunity to record your own data. More information about past work is available here: http://tinyurl.com/rmhaefner and manuscripts indicating the group's research directions here http://arxiv.org/abs/1409.0257 and here: http://www.nature.com/doifinder/10.1038/nn.3309 For details on current and possible future projects, and general information, please contact me directly. The successful candidate with join a highly collaborative department with a strong tradition in probabilistic modeling across a wide range from sensory processing to language learning (https://www.bcs.rochester.edu/research/index.html ). The city of Rochester is located on the shore of Lake Ontario in upstate New York and has a high quality of life (http://en.wikipedia.org/wiki/Rochester,_New_York ). Start date and duration are flexible. Please send applications including a CV and names of 2-3 references by email. I'll be at COSYNE for both conference and workshops and available to meet there in person. Ralf Haefner Assistant Professor Brain & Cognitive Sciences University of Rochester (NY) rhaefner(a)bcs.rochester.edu

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Last Mile: DATA ANALYTICS 2015 || July 19 - 24, 2015 - Nice, France
by Cristina Pascual March 5, 2015

March 5, 2015

INVITATION: ================= The submission deadline is March 18, 2015. Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to DATA ANALYTICS 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== DATA ANALYTICS 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics July 19 - 24, 2015 - Nice, France General page: http://www.iaria.org/conferences2015/DATAANALYTICS15.html Call for Papers: http://www.iaria.org/conferences2015/CfPDATAANALYTICS15.html Submission page: http://www.iaria.org/conferences2015/SubmitDATAANALYTICS15.html Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: March 18, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html DATA ANALYTICS 2015 Topics (topics and submission details: see CfP on the site) Fundamentals for data analytics Tools, frameworks and mechanisms for data analytics; Open API for data analytics; In-database analytics; Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.); Analytics visualization; Multi-modal support for data analytics; Google/FaceBook/Twitter/etc. analytics; High-performance data analytics Mechanisms and features Scalable data analytics; Big data analytics; Deep data analytics; Mass data analytics; Storing, dropping and filtering data; Relevant/redundant/obsolete data analytics; Volume vs. semantics analytics; Nomad analytics; Predictive analytics; Trust in data analytics; Legal issues analytics; Failure on data analytics Sentiment/opinion analysis Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis. Application-oriented analytics Statistical applications; Simulation applications; Crawling web services; Cross-database analytics; Forecast analytics; Financial risk management; ROI analytics Target analytics Business analytics; Malware analytics; Cyber-threats analytics; Mining user logs; Reputation analytics; User choice analytics; Branding analytics; Utility proximity-search analytics; Survey-based online asset analytics; Online employment analytics; Geology analytics; Global climate analytics; Remote learning analytics; Homecare analytics; Population growth and migration analytics; Food-borne illness outbreaks analytics Big Data Foundational models for Big Data; Big Data Analytics and Metrics; Big Data processing and management; Big Data search and mining; Big Data platforms; Big Data persistence and preservation; Big Data and social networks; Big Data economics Huge data Knowledge Discovery from Huge Data; Computational Intelligence for Huge Data; Linked Huge Data; Security Intelligence with Huge Data ------------- Committee: http://www.iaria.org/conferences2015/ComDATAANALYTICS15.html ================================================

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IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models (2nd CFP)
by Alessandro Antonucci March 5, 2015

March 5, 2015

IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models Buenos Aires, July 25-27, 2015 - http://ipg.idsia.ch/wijcai15/ SECOND CALL FOR PAPERS Probabilistic graphical models are important tools in machine learning and artificial intelligence for reasoning with uncertainty. They provide means to represent large multivariate domains compactly and to perform sophisticated learning and reasoning efficiently. Examples of probabilistic graphical models are Bayesian networks, Markov Random fields, chain and factor graphs, Gaussian graphical models, to name but a few. The quantification of these models usually requires sharp (i.e., precise) assessments of the model local potentials and might be subject to robustness issues. For instance, perturbations of some parameter values may lead to different decisions from those which would be achieved by the unperturbed model, suggesting that decisions are not reliable. Reliability might also be in question because of missing data and assumptions behind the process. The workshop invites submissions of papers on all aspects of sensitivity analysis and robustness in probabilistic graphical models. Contributions may have a theoretical focus and/or an applied focus. A non-exhaustive list of topics follows. - Local and/or global sensitivity analysis. - Parameter-based and/or decision-based sensitivity analysis. - Design of robust learning, inference and/or decision making approaches. - Robust analysis and design of robustness measurements. - Extensions of probabilistic graphical models. - Reliable qualitative learning and reasoning. - Robust treatment of missing data. - Imprecise probability and other theories related to sensitivity analysis. - Computational complexity, exact and approximate algorithms. Each submission will be reviewed by peers using a double-blind process (please use the third person in self citations and take all necessary care not to identify yourselves). Accepted papers will be published electronically in a volume of the JMLR Workshop and Conference Proceedings series. There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the workshop. At least one of the paper's authors should register and attend the workshop to present the work. Submissions must be formatted according to style and template files available for the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings - two-column version. The files are available at http://ipg.idsia.ch/wijcai15/sarpgm15.tar.gz. Papers (including figures, tables, references, etc) are expected to have between 6 and 10 pages. IMPORTANT DATES Apr 27, 2015 - Deadline for submissions of contributions May 20, 2015 - Workshop paper acceptance notification May 30, 2015 - Deadline for workshop camera-ready copy (in case of minor revision; contributions needing major revision might need additional time - this will be arranged case by case) PC MEMBERS Alessandro Antonucci*, IDSIA, Switzerland. Alessio Benavoli, IDSIA, Switzerland. Cassio P. de Campos*, Queen's University Belfast, UK. Arthur Choi, University of California, Los Angeles, USA. Giorgio Corani*, IDSIA, Switzerland. Fabio Cozman, University of Sao Paulo, Brazil. Adnan Darwiche, University of California, Los Angeles, USA. Sebastien Destercke, Univ. de Technologie de Compiegne, France. Marek Druzdzel, University of Pittsburgh, USA. Johan Kwisthout, Radboud University Nijmegen, The Netherlands. Agnieszka Onisko, Bialystok University of Technology, Poland. Denis Maua, University of Sao Paulo, Brazil. Serafin Moral, Universidad de Granada, Spain. Silja Renooij, Universiteit Utrecht, The Netherlands. Matthias Troffaes, University of Durham, UK. (*: Workshop organizers.) More details about the submission procedure are available online. http://ipg.idsia.ch/wijcai15/ ++++++++++++++++++++++++++++++++++++++++ (We apologize in case you receive multiple copies of this announcement, but yet we hope to reach the greatest possible number of people. Finding a trade-off is not an easy task.) -- _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

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Ph.D. Studentship at the University of Ulster - Data Analytics in Mental Health
by Wong-Lin, Kongfatt March 4, 2015

March 4, 2015

Applications are invited for the following DEL CAST studentship (Co-operative Awards in Science and Technology): Title: Extraction and modelling of mental health data: big data analytics approach With the increasing volume of datasets in neuroscience and mental health, data analytics and modelling will become indispensable. This project aims to use data analytics, probabilistic modelling, and high-performance computing to integrate and analyse available open but heterogeneous big data to extract patterns and predict Alzheimer’s disease. This timely, exciting and high-impact project is available in the University of Ulster’ Computer Science Research Institute (in collaboration with Asystec Ltd) and is tenable in the Faculty of Computing and Engineering at the Magee Campus. The successful PhD candidate will join an externally funded multidisciplinary research team, and will benefit from the expertise of Ulster’s computational neuroscience and intelligence, and Asystec’s big data management and analytics. The student will also have the opportunity to interact with other biomedical and translational/clinical researchers in the team. The student will gain valuable knowledge in data analytics, high-performance computing, mathematics/statistics and brain sciences, which are all essential in many areas of science, engineering and biology. This training will provide wide opportunities for finding skilled work, especially in the burgeoning field of data analytics. The student will have the opportunity to learn first-hand about advanced software development, knowledge transfer and entrepreneurship with Asystec. Applicants should hold ordinary UK residence to be eligible for both fees and maintenance. Non UK residents who hold ordinary EU residence may also apply but if successful will receive fees only. All applicants should hold a first or upper second class honours (or equivalent) degree in Computer Science, Mathematics, Statistics, Engineering or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. Successful candidates will enrol on a full-time research programme, of up to three years subject to satisfactory progress, leading to the award of the degree of Doctor of Philosophy. The studentship will comprise tuition fees and a maintenance award (subject to UK residence status) of not less than £15,057 per annum, funded by DEL (the Department for Employment & Learning in NI) and Asystec Ltd. The application process for the Ph.D. studentship is opened with a closing date for applications on the 30th April 2015, and interviews will be held in May 2015. The studentship is expected to start in September 2015. Further details can be found at: http://research.ulster.ac.uk/info/researchopp/DEL%20CAST%20Asystec.html If you wish to discuss your proposal or receive advice on the research project please contact: Dr KongFatt Wong-Lin, tel: +44 028 7167 5320, email: k.wong-lin(a)ulster.ac.uk ----------------------------- KongFatt Wong-Lin University of Ulster ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo March 4, 2015

March 4, 2015

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY: Applications for NIH-funded 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 and biophysical models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with intractable epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related recent 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 Institute for Brain Science & Department of Neuroscience, Brown University Lab website: http://www.truccololab.com/

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Post-doc at UPenn with Johannes Burge
by Johannes Burge March 4, 2015

March 4, 2015

Postdoctoral position: Perception and neural computation with natural stimuli A postdoctoral position is available to study natural scene statistics, computational neuroscience, and behavioral measurements of performance in the laboratory of Johannes Burge at the University of Pennsylvania. In the lab, we use mathematics, computation, and psychophysics to investigate how vision works in natural conditions. We are broadly interested in how normative models of fundamental perceptual tasks and sub-tasks provide insight into behavioral performance and underlying neural mechanisms. Projects will focus on the processing of motion, stereo-disparity, motion-in-depth, defocus blur, and color in images of natural scenes. I am looking for applicants with strong experience in computational modeling, probability theory, numerical optimization, and psychophysical experimentation. The ideal applicant will also have a general interest in natural images, depth perception, and rigorous experimental work. Programming experience in Matlab, C/C++, OpenGL, and Psychtoolbox is strongly desired, as is an inclination to tinker with high-end display equipment. The successful applicant will have the opportunity to work with: i) a recently collected state-of-the-art, stereo-image database with occlusion-free co-registered laser range data, ii) a high-performance computing cluster, iii) a Vpixx ProPixx stereo-projector (1920x1080 resolution at 480Hz; 240Hz per eye). UPenn has a vibrant community of research groups on the leading edge of perception and systems neuroscience research. Additionally, our lab is affiliated with the newly formed Computational Neuroscience Initiative (CNI, http://cni.upenn.edu) so possibilities for collaboration are strong. Philadelphia is a multi-cultural, diverse, affordable city. Applicants should submit a CV, a 1-page research statement, two sample papers (published or in preparation), and the names, email addresses, and phone numbers of three people qualified to recommend you and your work. The position is for one year with a strong possibility of renewal for a second and third year. To apply or ask questions please contact Johannes Burge at the University of Pennsylvania. I will be attending the upcoming COSYNE conference in Salt Lake City, UT from March 5-7. Please contact me, if you would like to set up a meeting. ======================== Johannes Burge, PhD Assistant Professor Department of Psychology Neuroscience Graduate Group University of Pennsylvania http://burgelab.psych.upenn.edu jburge(a)sas.upenn.edu (215) 573 6528

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ECMLPKDD 2015 : Call for Demos
by ECMLPKDD 2015 March 4, 2015

March 4, 2015

http://www.ecmlpkdd2015.org For ECML PKDD 2015 in Porto, Portugal, we solicit submissions for demos. Submissions must describe working systems and be based on state-of-the-art machine learning and data mining technology. These systems may be innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting. Systems that use basic statistics are not acceptable. Commercial software is not acceptable. The accepted papers for demos will be included in the conference proceedings, to be published by Springer Verlag in the "Lecture Notes in Artificial Intelligence" (LNAI) Series. The demos will be presented in a special demonstration session. At least one of the demo submitters must register for the conference, and perform the demo on site. Submission Guidelines All aspects of the submission and notification process will be handled online via the CMT conference management toolkit accessible from the conference web. Please choose the right track during the submission. Instructions concerning the submission, camera-ready formatting and copyright transfer for conference papers also hold for demo papers, unless otherwise specified. A demonstration submission must be up to 4 pages long. It must provide adequate information on the systems components and the way the system is operated, including e.g. screenshots. Submitters should keep in mind that the description of a demo has inherently different content than a research paper submitted to the main conference. A successful demonstration paper provides satisfactory answers the following questions: - What are the innovative aspects or in what way/area does it represent the state of the art? - Who are the target users and why is the system interesting/useful for them? - If there are similar/related pieces of software, what are the advantages and disadvantages of the presented one? The formatting guidelines of Springer Verlag for the LNAI series apply, and the author instructions and style files under http://www.springer.de/comp/lncs/authors.html must be used. For inquiries concerning submissions please contact the Demo Track Chairs; contact data below. Important Dates - Demo submission deadline: 30 April 2015 - Notification of acceptance: 1 June 2015 - Camera-ready paper due: 15 June 2015 (aligned to the deadline of the main conference) Contacts For further information please contact the Demo Track Chairs: - Francesco Bonchi - Jaime Cardoso, INESC TEC and Univ. Porto - Myra Spiliopoulou, Univ. Magdeburg, http://www.kmd.ovgu.de/Team/Academic+Staff/Myra+Spiliopoulou.html Hope to see you all soon in Porto, Portugal!!! The publicity chairs of the ECMLPKDD 2015, Carlos Abreu Ferreira Ricardo Campos --- Este e-mail foi verificado em termos de vírus pelo software antivírus Avast. http://www.avast.com

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Last Mile: SEMAPRO 2015 || July 19 - 24, 2015 - Nice, France
by Cristina Pascual March 4, 2015

March 4, 2015

INVITATION: ================= The submission deadline is March 18, 2015. Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to SEMAPRO 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== SEMAPRO 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing July 19 - 24, 2015 - Nice, France General page: http://www.iaria.org/conferences2015/SEMAPRO15.html Call for Papers: http://www.iaria.org/conferences2015/CfPSEMAPRO15.html Submission page: http://www.iaria.org/conferences2015/SubmitSEMAPRO15.html Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: March 18, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html SEMAPRO 2015 Topics (topics and submission details: see CfP on the site) Basics on semantics Fundamental of semantics processing; Semantic-based techniques for feature selection; Semantic-based pruning; Semantic interoperability; Semantics uncertainty; Semantics pre-processing and post-processing; Semantics harmonization; Constraint-based semantics processing; Embedded semantics into the discovery process; Semantics in spatial and spatio-temporal models Ontology fundamentals for semantic processing Ontology learning; Ontology for semantic interoperability; Ontologies and data pre-processing; Ontology-based evaluation and semantic patterns; Global core ontologies; Progressive ontologies; Bridging semantics through ontologies; Ontology mapping and ontology visualization; Ontology in information systems; Ontology-based semantic mediation; Ontology design and maintenance for conceptual model integration; Reverse engineering of ontologies from conceptual model; Ontologies for explanation generation Semantic technologies Basics of Ontology and Semantic Web; Semantic storing, computing, representation, communications; Semantic-driven system design; Syntactic and semantic processing models; Hardware and software support for semantic processing; Microprocessors for semantic processing; Multi-model semantic systems; Semantic annotation of multimedia supports; Semantic multimedia information retrieval; Natural language semantic processing; Context-based semantic processing; Content-based semantic processing; Scalability to the Web level; Performance in semantic processing; Information security in semantic processing; Explaining semantic processing and its results Models and ontology-based design of protocols, architectures and services Fundamentals in theory; Modeling methodologies; Models and Ontology-driven Technologies (for the communications system design); Models and ontology relationships; Multi-models coherence. Models and ontology-based communications services and protocols; Semantics of services and service modeling; Protocol models and semantics; Application and quality of experience semantics; Services and protocols semantics; Models and ontology-based cross-layer services and architectures design; Models and ontology-based software frameworks; Composition of Services and Composability rules; Cross-layering services models, components and implementations Semantic Deep Web Ontology plug-in search; Information extraction from the Deep Web /e-commerce sites/; Semantic Deep Web annotation and indexing; Deep Web-based ontology; Semantic Deep Web crawlers; Semantic browsing and visualization; Semantic Deep Web data fusion; Semiautomatic ontology generation; Metrics for quality of ontology; Similarity measures for ontology alignment; Measurements for quality of search; Tools for semantic Deep Web; Experience extraction from the Web Semantic reasoning Reasoning methods; Reasoning for the Web; Ontology expressiveness; Ontology alignment, mapping and merging; Expressing formal semantics; Languages (RDF, RDF Schema, OWL, etc); Robustness of reasoning on the Web; Patterns on semantic reasoning; Querying and searching; Scalable and tolerant reasoning; Dynamic reasoning for the Semantic Web; Ontologies and problem-solving methods; Computational learning theory; Approximate reasoning/computing; Strategies for abstraction and compression of information; Cognitive semantic reasoning; Attention semantic scoping; Recency-based self-optimizing memory; Cost-benefit trade-off reasoning models; Negotiation in obtaining near-optimal reasoning results under bounded resources; Case-based reasoning Semantic content searching Methodologies for innovative information retrieval technologies; Combinatorial search; Massive search-spaces with heuristics (e.g., based on Monte Carlo simulations); Searching using metadata, semantics, and ontology; Advanced searching in digital libraries; Advanced use of RDF and OWL; Expressiveness of the content ontologies; Inherent inconsistency and incompleteness of data on the Web; Scalability of semantic processing; Specialized search engines (Hakia, Matrixware and seekda) Hypertext and hypermedia semantic Hypertext techniques and semantic applications; Hypertext and ontologies; Hypertext semantic models; Spatial semantic hypertext; Self-organized hypertext; Semantic adaptive hypertext; Web and hypertext link analysis; Hypertexts and semantic Web; Hypertext semantic applications Semantic voice-video-speech (VVS) searching Engines and methods for VVS advanced searching; Patterns in VVS searching; Contextual VVS searching; Rapid VVS searching; Accuracy in VVS searching; Noise in VVS searching; Performance in VVS searching; Metrics for VVS searching; Text and VVS searching; Applications of VVS Semantic multimedia Efficient storage of structured data that scale to a very large size; Automatic generation of multimedia presentations; Advanced process for multimedia information mining; Semantic metadata extraction; Annotation tools and methods for content semantics; Media ontology generation/learning/reasoning; Semantic multimedia streaming; Semantics enabled multimedia applications /annotation/browsing/storage/retrieval/visualization Semantic social media Community detection and evolution in social media; Recommendation and ranking systems; Search in social media; Event detection, trend identification and tracking in social media; Influence, trust and reputation in social media; Opinion/sentiment analysis, polarity identification; Feed distillation and ranking blogs; Mining microblogging and real time data; Folksonomy, tag semantics, clustering and usage; Advertising models for the social web; Indexing social media content, index freshness; Visualizing social network data; Spam detection, social network spam and profile spam Semantics for sentiment/opinion analysis Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis Semantic networking Semantic-based QoS (Quality of Service) control and scheduling; Semantic QoE (Quality of Experience) evaluation; Semantic-based Internet data streaming and delivery; Semantics enabled networking and middleware; Semantic routing; Semantic interfaces Domain-oriented semantic applications Semantics for managing pharmaceutical data; Semantic processing for biomedical knowledge; Speech, text and picture recognition; Semantic email workflow and content; Semantic blogs and wikis; Semantic email addressing; Semantic web and digital libraries; Semantic processing in e-Health; Semantic-driven tutoring systems Economics and governance of semantics technologies Organizational views; Legal; Business; Regulations; Assessment; Standards; Harmonization; Cross-nation mediation Semantic applications/platforms/tools Market for semantic technologies; Applications, services and systems based on semantic processing; User friendly semantic system integration tools; Ontology-based data transformation and data migration tools; Ontology mapping tools and languages; Ontology-enabled interoperability in e-science, life sciences, e-business, culture; Commercial cost models for semantic applications; Semantic solutions for business intelligence; Semantic processing platforms ; Supporting ontology platforms/tools (Prot�g�, etc); Semantic query languages (SPARQL, etc); Ontology-enabled search engines; Semantic Web search engines; Interoperability of data, systems, and organizations; Experiments and lessons learned; Standard activities ---------------------- Committee: http://www.iaria.org/conferences2015/ComSEMAPRO15.html ================================================

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation
by Aurel A. Lazar March 4, 2015

March 4, 2015

Columbia Workshop on Brain Circuits, Memory and Computation BCMC 2015 Monday and Tuesday, March 16-17, 2015 Center for Neural Engineering and Computation Columbia University, New York, NY 10027 Monday, March 16, 09:00 AM - 05:45 PM 09:00 AM - 09:45 AM Yoshi Aso (HHMI Janelia), Mushroom Body Output Neurons Encode Valence and Guide Memory-based Action Selection 09:45 AM - 10:30 AM Barbara Webb (University of Edinburgh), A Computational Model of the Insect Mushroom Body Applied to Ant Navigation 10:30 AM - 11:00 AM Co↵ee Break 11:00 AM - 11:45 AM Wolfgang Maass (Graz University of Technology), A New Perspective of Synaptic Plasticity and Network Rewiring 11:45 AM - 12:30 PM Charles Randy Gallistel (Rutgers University), The Memory Coding Problem 12:30 PM - 02:00 PM Lunch Break 02:00 PM - 02:45 PM Charles D. Gilbert (Rockefeller University), The Dynamic Brain 02:45 PM - 03:30 PM Stefan Mihalas (Allen Institute for Brain Science), Computational Properties of Cortical Columns 03:30 PM - 04:00 PM Afternoon Break 04:00 PM - 04:45 PM Gary F. Marcus (New York University), The Atoms of Neural Computation 04:45 PM - 05:45 PM Panel Discussion: What Would a Good Theory of the Brain Actually Look Like? Tuesday, March 17, 09:00 AM - 05:45 PM 09:00 AM - 09:45 AM Vivek Jayaraman (HHMI Janelia), A Donut that Means the World to the Fly 09:45 AM - 10:30 AM Daniel Coca (University of Sheffield), Fly Photoreceptors Detect Phase Congruency 10:30 AM - 11:00 AM Co↵ee Break 11:00 AM - 11:45 AM Damon A. Clark (Yale University), Tuning Neural Nonlinearities for Naturalistic Visual Motion Estimation 11:45 AM - 12:30 PM Aurel A. Lazar (Columbia University), Neurokernel: Building an in Silico Fruit Fly Brain 12:30 PM - 02:00 PM Lunch Break 02:00 PM - 02:45 PM Anthony Leonardo (HHMI Janelia), Neural Circuits Underlying Internal Models in Predictive Motor Control 02:45 PM - 03:30 PM Fabrizio Gabbiani (Baylor College of Medicine), Biophysics and Neural Computations Underlying Visually-Guided Collision Avoidance Behaviors 03:30 PM - 04:00 PM Afternoon Break 04:00 PM - 04:45 PM Dmitri ”Mitya” B. Chklovskii (Simons Foundation), A Biological Neuron as an Online Matrix Factorization Device 04:45 PM - 05:45 PM Panel Discussion: A Neuroscience Esperanto: Building a Better Bridge Between Modeling and Experimental Neurobiology Registration is free but all participants have to register at: https://bcmc15.eventbrite.com/ Workshop Website: http://www.bionet.ee.columbia.edu/workshops/bcmc/2015 Aurel http://www.bionet.ee.columbia.edu

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First Announcement: International Conference on System Level approaches to Neural Engineering
by Alessandro Barardi March 3, 2015

March 3, 2015

--------------------------------------- FIRST ANNOUNCEMENT --------------------------------------- International Conference on System Level approaches to Neural Engineering Dates: September 21st – 23rd , 2015 Venue: Barcelona Biomedical Research Park <http://www.prbb.org/>, Barcelona, Spain Website: http://www.neural-engineering.eu/BarcelonaConference2015/index.html The aim of this interdisciplinary conference is to bring together theoretical and experimental neuroscientists and roboticists to discuss the state of the art in the field of Neural Engineering. This three day long event is part of a series of training events organized by the Marie Curie Initial Training Network NETT (Neural Engineering Transformative Technologies). It will also give young researchers an opportunity to present their work. Theme panels are: * Neural Dynamics - mathematical description of neuronal activity * Brain-on-Chip - engineering of neuronal circuits in-vitro with emphasis on microfluidics * Neural Learning and Control - motion planning, controlling and learning neuro-inspired techniques for robotics * Neural Coding - investigation of neuronal strategies for encoding information * Optical Neurotechnology - imaging and engineering techniques that allow recording of neuronal activity --------------------------------------- CONFIRMED SPEAKERS --------------------------------------- Andre Bastos - The Picower Institute for Learning and Memory, MIT, Boston, MA, USA Romain Brette - Institut de la Vision, Paris, France Sophie Deneve - Laboratoire de Neurosciences Cognitives, LNC, Paris, France Dario Farina - Bernstein Center for Computational Neuroscience, Göttingen, Germany Albert Folch - Department of Bioengineering, University of Washington, Seattle, WA, USA Amanda Foust - Imperial College London, London, UK Sami Haddadin - Institute of Automatic Control, Hannover, Germany Kenneth Harris - Institute of Neurology and the Department of Physiology, Pharmacology, and Neuroscience, UCL, London, UK Fritjof Helmchen - Brain Research Institute, Zürich, Switzerland Thibault Honegger - Laboratoire des Technologies de la Microelectronique, CNRS-CEA, Grenoble, France Eugene Izhikevich - Brain Corporation, San Diego, CA, USA Viktor Jirsa - Institut de Neurosciences des Systèmes, Marseille, France David Liley - Swinburne University of Technology, Melbourne, Australia Benjamin Lindner - Bernstein Center for Computational Neuroscience, Berlin, Germany Nikos Logothetis - Max Planck Institute for Biological Cybernetics, Tübingen, Germany Yoonkey Nam - Advanced Institute of Science and Technology, Korea Adam Packer - University College London, London, UK Stefano Panzeri - Neural Computation Lab, Istituto Italiano di Tecnologia, Rovereto, Italy Eftychios Pnevmatikakis - Columbia University, New York, NY, USA Alexandre Pouget - CMU, Geneva, Switzerland Jan Schnupp - Department of Physiology, Anatomy, and Genetics, Oxford, UK Gregor Schöner - Institut für Neuroinformatik Ruhr-Universität Bochum, Germany Reza Shadmehr - John Hopkins University, Baltimore, MD, USA Patrick van der Smagt - BRML labs, TUM, Germany John Terry - College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK International Conference on System Level Approaches to Neural Engineering conference is organised by the Fellows of the Neural Engineering Transformative Technologies <http://www.neural-engineering.eu/> (NETT) consortium. On their behalf 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. --------------------------------------- REGISTRATION --------------------------------------- Registration can be done on our registration form <https://www.eventbrite.co.uk/e/international-conference-on-system-level-app…> . Registration opens: 1st March 2015 Registration deadline: 30th May 2015 Conference fee will be 200 euros plus 50 euros for an optional conference dinner. Details about the payment will be posted on the conference website. --- Call for posters --- 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. Abstract Submission opens: 1st of March 2015 Abstract Submission closes: 30th May 2015 Abstract Acceptance Notification: 30th June 2015 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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postdoctoral position at Rice University/Baylor College of Medicine
by Fabrizio Gabbiani March 3, 2015

March 3, 2015

POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE/BIOPHYSICAL MODELING Computational and Applied Mathematics Rice University and Department of Neuroscience Baylor College of Medicine Houston, Texas ----- A postdoctoral position in computational neuroscience is available at Rice University and Baylor College of Medicine, in the laboratories of Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of Medicine). Our research focuses on understanding the biophysical mechanisms underlying the implementation of non-linear operations by neurons and neuronal circuits. The postdoctoral fellow will model the cellular and network mechanisms underlying collision avoidance behaviors using advanced mathematical techniques and computer simulations. Modeling will be supported by a large data set of experimental data gathered using electrophysiology, pharmacology, calcium imaging, high-speed video imaging and telemetry. We are looking for a highly motivated candidate with a strong background in computational modeling of single neurons and neuronal circuits. Experience with Matlab and NEURON is required. The position is available for one year, with possibility of renewal for a second year, contingent of performance and funding availability. Salary will be commensurate with level of experience, based on an NIH scale. Applications will be accepted until May 15, 2015. Our labs are located at Rice University and in the adjacent Texas Medical Center, close to many of Houston's cultural and outdoor amenities. For further information about Rice University, the Texas Medical Center and Houston please visit http://www.explore.rice.edu/explore/General_Information.asp or https://www.bcm.edu/about-us/life-in-houston For further informal inquiries and to apply, please send CV, the names and full contact information of two to three references, as well as one to two representative publications to cox(a)rice.edu and gabbiani(a)bcm.edu. -- Fabrizio Gabbiani phone: (713) 798 1849 Department of Neuroscience fax: (713) 798 3946 Baylor College of Medicine email: gabbiani(a)bcm.edu One Baylor Plaza, web: glab.bcm.tmc.edu Houston, TX 77030 mail stop: BCM295

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IEEE SMC2015 Special Session: Cognitive Agents and Robotics for Human-Centric Systems: new models and challenges
by Alessandro Di Nuovo March 3, 2015

March 3, 2015

[Apologies for multiple postings of this announcement] =========================== CALL FOR PAPERS ============================ IEEE SMC2015 Special Session Cognitive Agents and Robotics for Human-Centric Systems: new models and challenges Introduction Cognitive Agents are inspired from the human cognitive capabilities to exhibit effective behavior through perception, action, deliberation, communication, and through either individual or social interaction with the environment. These computational agents have the ability to function effectively in circumstances not explicitly planned when the system was designed. This ability makes it especially suited to control complex systems, such as robotics, which are designed to provide services and proactively interact with people and other artificial agents in composite Human-Centric environments. The special session aims to attract new developments in the area of cognitive systems, such as novel engineering principles, models and applications of cybernetic systems capable to autonomously improve their capabilities when interacting with the environment in an open-ended process. As a follow-up, authors of accepted papers will be invited to submit an extended version to a special issue in the journal IEEE Transaction on Cognitive Systems and Development (new name of IEEE Trans. on Autonomous Mental Development.) Indicative Topics/Areas The special session welcomes all the contributions in the area of Artificial Cognitive Systems applied to human-centric environments, with particular interest (but not limited to) the following topics: - Bio-inspired, developmental and Cognitive Robotics - Ambient Assisted Living via Cognitive Agents - Computational models of human cognition and interaction - Engineering applications of Cognitive Systems - Artificial Agent cognitive development - Natural language understanding - Standard tools for the design of Cognitive Systems - Medical Systems and Diagnosis - Evolutionary Cognitive Robotics - Cognitive Systems for human wellbeing Important Dates March 31, 2015: Deadline for submission of full-length papers to special sessions. June 1, 2015: Acceptance/Rejection Notification. July 31, 2015: Final camera-ready papers due in electronic form. Submission Manuscripts for a Special Session should NOT be submitted in duplication to any other regular or special sessions and should be submitted to SMC 2015 main conference online submission system on SMC 2015 conference website. All submitted papers of Special Sessions have to undergo the same review process (three completed reviews per paper). The technical reviewers for each Special Session paper will be members of the SMC 2015 Program Committee and qualified peer-reviewers to be nominated by the Special Session organizers. Special Session organizers Alessandro Di Nuovo, Plymouth University (UK) & University of Enna Kore (Italy) alessandro.dinuovo(a)plymouth.ac.uk<mailto:alessandro.dinuovo@plymouth.ac.uk> Giovanni Acampora, Nottingham Trent University (UK) giovanni.acampora(a)ntu.ac.uk<mailto:giovanni.acampora@ntu.ac.uk> ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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INCF Short Course on Information Processing in Neural Systems
by Frank Jäkel March 3, 2015

March 3, 2015

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ INCF Short Course on Information Processing in Neural Systems -- From Single Neurons to Large-Scale Models of Cognition -- May 2-10, 2015 @ Institute of Cognitive Science, Osnabrück, Germany +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ One of the big challenges in neuroinformatics is bridging the gap between our biophysical understanding of single cells and of networks of neurons on the one side, and the cognitive functions that are characterized in terms of information processing on the other side. This INCF Short Course will provide lectures and hands-on tutorials ranging from dynamical systems theory to cognitive modeling. Target Audience: PhD candidates and post-docs with backgrounds in neuroinformatics, theoretical neuroscience, complex systems, machine learning, applied mathematics/statistics or cognitive modeling. Topics: Dynamical systems: attractors, bifurcations, etc. (Herbert Jaeger) Single neuron dynamics, networks, and computation (Nicolas Brunel) Mean-field theory, neurodynamics, and decision-making (Gustavo Deco) Reservoir computing in simple cognitive systems (Gordon Pipa) Learning of sensory representations in neural systems (Peter König) Distributed Adaptive Control (Paul Verschure) Neural networks, kernel methods, and categorization (Frank Jäkel) A tutorial on reservoir computing (Pipa & Jaeger) A tutorial on large-scale simulations in Nengo (Terry Stewart) A tutorial on information processing models with NEST (Marc-Oliver Gewaltig) The yearly, two-day OCCAM workshop (www.occam-os.de) is integrated into the INCF course and participants of the INCF course will also take part in the workshop. Applications will be accepted until March 7, 2015. The registration fee is 250 Euros. We can offer a limited number of travel stipends to support students. More information on the course and on application details can be found on the course webpage: http://www.incf.ni.uos.de/ _______________________________________________ Comp-neuro mailing list Comp-neuro(a)neuroinf.org http://www.neuroinf.org/mailman/listinfo/comp-neuro

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Osnabrück Computational Cognition Alliance Meeting (OCCAM 2015)
by Frank Jäkel March 3, 2015

March 3, 2015

Dear Colleague, we would like to invite you to register for the 5th +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Osnabrück Computational Cognition Alliance Meeting (OCCAM 2015) "From Simple Neurons to Large-Scale Models of Cognition" May 6-7, 2015. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ List of invited speakers: Nicolas Brunel Gustavo Deco Wolfgang Einhäuser Virginia Flanagin Sonja Grün Marc-Oliver Gewaltig Herbert Jaeger Gordon Pipa Paul Verschure Kai Vogeley The workshop will take place in Osnabrück, Germany, and will be hosted by the Institute of Cognitive Science (University of Osnabrück). Details can be found below and on the following webpage: http://www.occam-os.de The registration deadline is March 7, 2015 (first come first served). The registration fee is 100,- Euros. This year the OCCAM workshop is co-located with an INCF Short Course on the same topic (http://www.incf.ni.uos.de/) The OCCAM workshop series aims at understanding the principles of information processing in the brain with a particular focus on 3 major topics: 1. Neural coding and representation in hierarchical systems 2. Self-organization in dynamical systems 3. Mechanisms for probabilistic inference There will also be a poster session where conference participants will have the opportunity to present their work. The deadline for submitting an abstract for a poster presentation is also March 7. Best regards, Frank Jäkel, Peter König, Gordon Pipa (Organizing committee)

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Reminder: Call for Workshops - Bernstein Conference 2015
by Seeger, Simone March 3, 2015

March 3, 2015

The National Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2015 in Heidelberg ********************************************************************************** Call for Workshop proposals: Workshops: September 14, 2015 (Main Bernstein Conference: September 15-17, 2015) Deadline of proposal submission: March 15, 2015 Notification of acceptance: April 20, 2015 Conference Registration starts: April 27, 2015 Early Registration Deadline: July 21, 2015 ********************************************************************************** The Bernstein Conference started out as the annual meeting of the National Bernstein Network Computational Neuroscience and has become the largest single-track Computational Neuroscience conference in Europe in recent years. Since 2013, the Bernstein Conference hosts pre-conference workshops, which have developed swiftly into a well-attended event. They supply a stage to debate topical research questions and challenges in Computational Neuroscience and related fields, different points of view and scientific approaches in an informal setting. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. SCHEDULE: September 14, 2015, 9:00 - 18:30. You may apply for either half-day or full-day workshops. Workshop costs: The Bernstein Conference does not provide financial support, but workshop organizers and speakers are offered free workshop registration and reduced fees for the main conference. For further information about the conference, please visit the conference website<http://www.bernstein-conference.de>. DETAILS FOR WORKSHOP PROPOSALS: The Workshop Proposal form can be downloaded here<http://www.nncn.de/de/bernstein-conference/2015/satellite-workshops/worksho…>. Deadline for submission of Workshop Proposals: March 15, 2015 For more information or the submission of workshop proposals, please contact bc15(a)uni-heidelberg.de<mailto:bc15@uni-heidelberg.de> We are looking forward to meeting you in Heidelberg! THE WORKSHOP PROGRAM COMMITTEE Matthias Bethge (Bernstein Center Tübingen) Upinder Bhalla (NCBS, Bangalore) Carlos Brody (Princeton University) Gustavo Deco (University Pompeu Fabra, Barcelona) Andreas Draguhn (Bernstein Center Heidelberg-Mannheim) Daniel Durstewitz (Bernstein Center Heidelberg-Mannheim) Gaute Einevoll (Norvegian University of Life Sciences, Aas) Andreas Herz (Bernstein Center Munich) Peter Kirsch (Bernstein Center Heidelberg-Mannheim) Sara Solla (Northwestern University, Evanston) *** Simone Seeger, M.A. Administration Bernstein Center for Computational Neuroscience Zentralinstitut für Seelische Gesundheit Postfach 12 21 20, 68072 Mannheim J5, 68159 Mannheim Telefon: 0621/1703-1326 oder 06221/54-8310 Fax: 0621/1703-2915 E-Mail: Simone.Seeger(a)zi-mannheim.de<mailto:Simone.Seeger@zi-mannheim.de> Internet: http://www.bccn-heidelberg-mannheim.de<http://www.bccn-heidelberg-mannheim.de/>

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(Firm Deadline: March, 9) VISUM Summer School :: Call for Participation
by Ricardo Gamelas Sousa March 3, 2015

March 3, 2015

Apologies for cross-posting. In order to allow candidates to finish their application, we have decided to extend the deadline for visum 2015 applications. More information bellow. --- Call for Participation 3^rd VISion Understanding and Machine intelligence summer school, Porto, Portugal First Computer Vision Summer School with an industrial track 2-9 July, 2015 http://www.fe.up.pt/visum/|Facebook: http://goo.gl/FbVNtq Application Information: http://www.fe.up.pt/visum/visumschool *Important Dates* Application Deadline *March 9, 2015* Decision March 8, 2015 Early Registration April 10, 2015 Late Registration May 8, 2015 Summer School July 2-9, 2015 *Topics* Randomised Decision Forests and Tree-structured Algorithms in Computer Vision Tae-Kyun Kim, Imperial College London, UK Local Features Extraction and Description Jiri Matas, Czech Technical University, CZ Document Image Analysis Alicia Fornes, Universitat Autònoma de Barcelona, ES Scene Understanding Martial Hebert, CMU, USA Automatic Facial Expression Recognition Michel Valstar, University of Nottingham, UK RGB-D Cameras Thomas Whelan, Imperial College London, UK *Applications* Point Clouds 3D* João P. Costeira, IST, PT ** *Tentative titles *Industry Track* http://asap54.com/ Daniel Heesch www.enermeter.pt/en Manuel João Ferreira www.philips.com Jacek Kustra *Venue* visum will take place in Porto, Portugal’s second-largest city, European Best Destination 2012 and Lonely Planet’s top 10 for 2013. Here, you can find famous baroque style monuments, the worldwide known Port Wine cellars, always having the World Heritage Douro River as the background of this youthful, active and charming city. visum’s program includes social activities. *Accommodation*** *Tattva Design Hostel* Students will have 10% of discount. The prices include: Buffet breakfast, Wi-Fi all over the building, 4 computers in Lounge area, free linen, free locks, free City Maps, free Luggage Storage, free Portuguese Lessons, free Walking Tours, Happy Hour (exclusive prices for TattvaBar for guests). *Hotel da Música* All accepted participants will have a special price included in visum’s fees. Hotel da Música is a luxurious 4-star property set in a prime location in the centre of Porto. Local tourist attractions such as Rotunda da Boavista, Casa da Musica and Hospital Militar are not far from the hotel. Hotel da Música is equipped with free wifi. For more details please follow the link: http://www.hoteldamusica.com/and do not forget to check the special conditions at http://www.fe.up.pt/visum/ Please visit our webpage for up to date information: http://www.fe.up.pt/visum/. We are looking forward for your participation! visum organising committee Tiago Esteves, INEB, Faculdade de Engenharia da Universidade do Porto Kelwin Fernandes, INESC TEC, Faculdade de Engenharia da Universidade do Porto Eduardo Marques, INESC TEC, Faculdade de Engenharia da Universidade do Porto Ana Rebelo, INESC TEC, Universidade do Porto Ricardo Sousa, INEB, Universidade do Porto Luís Teixeira, INESC TEC, Faculdade de Engenharia da Universidade do Porto Follow us on: Facebook: http://www.facebook.com/pages/visum/402527539813446 Google+: https://plus.google.com/104076275960053201744/posts Twitter: http://www.twitter.com/visumschool

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Multi-timescale Modeling of Activity-Dependent Metabolic Coupling in the Neuron-Glia-Vasculature Ensemble
by Jolivet, Renaud March 3, 2015

March 3, 2015

Dear colleagues, You might be interested by our recent paper: "Multi-timescale Modeling of Activity-Dependent Metabolic Coupling in the Neuron-Glia-Vasculature Ensemble”, recently published in PLOS Computational Biology (http://dx.doi.org/10.1371/journal.pcbi.1004036) From the abstract: Glucose is the main energy substrate in the adult brain under normal conditions. Accumulating evidence, however, indicates that lactate produced in astrocytes (a type of glial cell) can also fuel neuronal activity. The quantitative aspects of this so-called astrocyte-neuron lactate shuttle (ANLS) are still debated. To address this question, we developed a detailed biophysical model of the brain’s metabolic interactions. Our model integrates three modeling approaches, the Buxton-Wang model of vascular dynamics, the Hodgkin-Huxley formulation of neuronal membrane excitability and a biophysical model of metabolic pathways. This approach provides a template for large-scale simulations of the neuron-glia-vasculature (NGV) ensemble, and for the first time integrates the respective timescales at which energy metabolism and neuronal excitability occur. The model is constrained by relative neuronal and astrocytic oxygen and glucose utilization, by the concentration of metabolites at rest and by the temporal dynamics of NADH upon activation. These constraints produced four observations. First, a transfer of lactate from astrocytes to neurons emerged in response to activity. Second, constrained by activity-dependent NADH transients, neuronal oxidative metabolism increased first upon activation with a subsequent delayed astrocytic glycolysis increase. Third, the model correctly predicted the dynamics of extracellular lactate and oxygen as observed in vivo in rats. Fourth, the model correctly predicted the temporal dynamics of tissue lactate, of tissue glucose and oxygen consumption, and of the BOLD signal as reported in human studies. These findings not only support the ANLS hypothesis but also provide a quantitative mathematical description of the metabolic activation in neurons and glial cells, as well as of the macroscopic measurements obtained during brain imaging. Best regards, Renaud -- Renaud Jolivet, PhD Neuroscience, Physiology & Pharmacology University College London r.jolivet(a)ucl.ac.uk<mailto:r.jolivet@ucl.ac.uk> https://sites.google.com/site/renaudjolivet/ +44 20 7679 3243

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INNS (International Neural Network Society) BigData 2015 San Francisco, Aug. 8-10, 2015 - $2000 Best Paper Award - Papers submission deadline is March 22nd.
by Asim Roy March 2, 2015

March 2, 2015

[Apologies for cross-postings] ########################################### The inaugural INNS Big Data conference 2015 August 8-10, 2015, San Francisco, USA CALL FOR PAPERS ########################################### Homepage: http://www.innsbigdata.org ########################################### The aim of the INNS BigData conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). Please refer to our website for a more detailed list of topics. Being INNS' inaugural conference on the theme of big data, we are especially motivated to synthesize ideas, promote activities and generate broad interest in areas where neural networks have many unique advantages. We also have Twitter, Facebook and Google+ pages! Elsevier Best Paper Award ########################################################### * Recognizes the best paper presented at the INNS Big Data conference. Both application and theoretical papers will be considered. * It will be awarded by the Big Data Analytics Section of the International Neural Network Society and is sponsored by Elsevier. * The Award consists of a plaque and a $2000 honorarium ########################################################### Dr. Fen Zhao Talk ########################################################### * Dr. Fen Zhao is a Staff Associate at the Office of the Assistant Director (OAD) for Computer & Information Science & Engineering (CISE) at the National Science Foundation. * She will give a talk on national big data R&D initiative and on building public-private partnerships around CISE's Big Data, next generation internet, and cybersecurity R&D portfolios. ########################################################### Plenary Speakers ########################################################### * Bin Yu, Chancellor's Professor, University of California , Berkeley * Raghu Ramakrishnan, Head of Cloud and Information Services Lab (CISL) and big data team, Microsoft * Brenda Dietrich, IBM Fellow and VP, Leads the Emerging Technologies Team for IBM Watson, IBM * Juergen Schmidhuber, Scientific Director, IDSIA ########################################################### Tutorials ########################################################### * Deep Learning - Profs. Juergen Schmidhuber (University of Lugano, and the Swiss AI Lab IDSIA) and Dong Yu (Microsoft Research) * Introduction to How Brain Deals with Big Data - Juyang Weng (Michigan State University) * Platforms and Algorithms for Big Data Analytics - Prof. Chandan K. Reddy (Wayne State University) * Big Data Analytics, Machine Learning Cognitive Algorithms and the Mind - Prof. Leonid I. Perlovsky (Northeastern University) * Spiking Neural Networks and Neuromorphic Spatio-Temporal Data Machines - Prof. Nikola Kasabov (Auckland University of Technology) * Online Learning for Big Data Analytics - Prof. Irwin King (Chinese University of Hong Kong) ########################################################### Workshops ########################################################### * Deep Learning - Profs. Juergen Schmidhuber and Dong Yu * Neuromorphic Spatio-Temporal Big Data Machines - Prof. Nikola Kasabov * Neural networks and wearable devices - Prof. Danilo Mandic * Big Data and Power Systems - Profs. Dejan Sobajic and Kumar Venayagamoorthy * Crowd Behaviour and Big Data - Profs. Chrisina Jayne and Mehmed Kantardzic ########################################################### Important Dates ########################################################### * Paper Submission March 22, 2015 * Paper Decision Notification May 22, 2015 * Camera Ready Submission of papers June 8, 2015 ########################################################### Paper Submission and Publication ########################################################### * Prospective authors should submit a full-length draft manuscript (8 pages), including figures, tables and references using the Elsevier Standard template without page numbers. * The full papers should be submitted to the INNS-BigData'2015 EasyChair online submission website: https://easychair.org/conferences/?conf=innsbigdata2015 * Conference proceedings will be published by Elsevier as a separate issue of Procedia Computer Science, which is an open access publication and is part of Science Direct electronic service. ########################################################### Topics and Areas include, but not limited to: * Autonomous, online, incremental learning - theory, algorithms and applications in big data * High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data * Scalable algorithms for big data * Learning algorithms for high-velocity streaming data * Kernel methods and statistical learning theory * Big data streams analytics * Deep neural network learning * Machine vision and big data * Brain-machine interfaces and big data * Cognitive modeling and big data * Embodied robotics and big data * Fuzzy systems and big data * Evolutionary systems and big data * Evolving systems for big data analytics * Neuromorphic hardware for scalable machine learning * Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.) * Big data and collective intelligence/collaborative learning * Big data and hybrid systems * Big data and self-aware systems * Big Data and infrastructure * Big data analytics and healthcare/medical applications * Big data analytics and energy systems/smart grids * Big data analytics and transportation systems * Big data analytics in large sensor networks * Big data and machine learning in computational biology, bioinformatics * Recommendation systems/collaborative filtering for big data * Big data visualization * Online multimedia/ stream/ text analytics * Link and graph mining * Big data and cloud computing, large scale stream processing on the cloud Big Data Analytics Section @ INNS ########################################################### Considering the growing interest to process and analyse big data, the International Neural Network Society (INNS) has a new Section on Big Data Analytics (BDA) to help the neural network field position itself as a leading technology contributor to big data analytics. By actively promoting the use of neural networks for big data analytics, the INNS-BDA section is dedicated towards bringing the neural network field to greater heights. Anyone who is interested to know more is encouraged to visit the homepage of the INNS-BDA Section at http://www.inns.org/big-data-section. ACCOMMODATION RESERVATION ########################################################### * A dedicated website is now available for attendees to book their hotel rooms online. * Reservations can be made starting 31-Oct-2014 at this web address: https://resweb.passkey.com/Resweb.do?mode=welcome_ei_new&eventID=12490679 ########################################################### Co-Sponsors * International Neural Network Society (INNS) * Elsevier Advisory Board * Walter Freeman, University of California, Berkeley, USA * Ali Minai, University of Cincinnati, USA * Danil Prokhorov, Toyota Tech Center * Bernard Widrow, Stanford University, USA * Bart Kosko, University of Southern California, USA General Chairs * Plamen Angelov, Lancaster University, UK * Asim Roy, Arizona State University, Tempe, USA PC Chairs * Adel M. Alimi, University of Sfax, Sfax, Tunisia * Theodore Trafalis, University of Oklahoma, USA * Kumar Venayagamoorthy, Clemson University, USA Plenary Chairs * Nikola Kasabov, Auckland University of Technology, New Zealand * Irwin King, Chinese University of Hongkong, China Special Sessions Chairs * Bonny Banerjee, University of Memphis, USA * Alessandro Ghio, University of Genoa, Italy Tutorials/Workshops Chair * Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil * Trevor Martin, Univ. of Bristol, UK. Poster Session Chairs * Yi Lu Murphy, University of Michigan-Dearborn, USA * Bernardete Ribeiro, University of Coimbra, Portugal Sponsors/Exhibit Chairs * James Dankert, BAE Systems, USA * Rosemary Paradis, Lockheed Martin, USA Publication Chairs * Danilo Mandic, Imperial College, London, UK * John Weng, Michigan State University, East Lansing, USA * Mariette Awad, American University of Beirut, Lebanon * Amir Hussain, University of Stirling, Scotland, UK

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Community Session on reproducibility in the neurosciences - 11th Göttingen meeting of the NWG
by Andrea Huber Brösamle March 2, 2015

March 2, 2015

----------------------------------------------------------- Community Session Reproducibility in the neurosciences Novel tools and links to the Human Brain Project (HBP) platforms and the International Neuroinformatics Coordinating Facility (INCF) ----------------------------------------------------------- We invite you to attend a Community Session on Reproducibility in the neurosciences taking place during the 11th Göttingen Meeting of the German Neuroscience Society. Date and Time: March 19th, 2015, 14:30-16:30h Location: University of Göttingen, Main Lecture Building, Room 1.141 Snacks and beverages will be served Recently, experiments gathering neuronal data in behaving animals as well as the corresponding data analysis workflows have dramatically gained in complexity. At present, this creates a lack of reproducibility impairing the reliability and efficiency of research. In this community session, the status and approaches to address this challenge will be reviewed and discussed. *Speakers:* Sonja Grün (Jülich Researach Centre & RWTH Aachen) Thomas Wachtler (G-Node, LMU Munich) Jeff Muller (EPFL, Lausanne) We are looking forward to seeing you in Göttingen. Community Session organizer: Sonja Grün (Jülich Researach Centre & RWTH Aachen)

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3rd CFP: EXTENDED DEADLINE Special Session on Quantifying Embodiment, ECAL'15
by Keyan Ghazi-Zahedi March 2, 2015

March 2, 2015

3rd CALL FOR PAPERS *** EXTENDED DEADLINE *** 13th European Conference on Artificial Life (ECAL 2015) Special Session on Quantifying Embodiment Session paper submission deadline: Monday, 16 March 2015 Notification of acceptance of papers: Friday, 24 April 2015 Paper Camera-Ready-Copy deadline: Monday, 18 May 2015 Conference convenes: 20-24 July 2015, York, United Kingdom Conference website: http://ecal2015.alife.org <http://ecal2015.alife.org/> Special Session website: http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html <http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html> There is a growing acknowledgement in the artificial life and artificial intelligence community that embodiment is a key for the understanding of cognitive systems. Despite the consensus about the importance of embodiment, there is no clear definition of what the agent’s embodiment actually is. We believe that a quantitative approach can help to answer this open question. This is inspired by Einstein’s answer to the question ”What is time?”, to which he replied ”Time is what clocks measure”. Although this seems to be a trivial answer, it reveals that what we mean by time depends on the way we measure it. We are interested in quantifications of embodiment from various view points and different fields. A non-exclusive list of examples is: • Quantifications of the embodiment’s effect on sensing • Quantifications of the embodiment’s effect on cognitive processes • Quantifications of the embodiment’s effect on acting • Quantifications of brain-body-environment separation We are open to quantifications from any formal approach. Examples are information theory and dynamical systems, but others are highly welcome too. The ideal outcome of the special session would be a good overview of different concepts and quantifications of embodiment and an understanding how they overlap and differ, thereby leading to a better understanding and a clearer picture of what embodiment actually is. Papers are submitted via the ECAL paper submission form and published in the conference proceedings. You need to select “Quantifying Embodiment” when you are submitting your paper. Special Session Chairs: Keyan Ghazi-Zahedi, Christoph Salge, Georg Martius, Daniel Polani

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PhD and Postdoc positions (eye-movements, stereo) at QMUL
by Miles Hansard March 2, 2015

March 2, 2015

PhD Studentship: Computational Analysis of Eye-Movements. School of EECS, Queen Mary, University of London. Applications are invited for a fully-funded PhD studentship, to conduct research into human eye-movements. The project will develop new computational models of visual behaviour, based on recent ideas from computer vision, spatial statistics and time-series analysis. The models will be tested in psychophysical experiments, and implemented in an open-source tool-kit. Supervised by Miles Hansard (computer vision, http://www.eecs.qmul.ac.uk/~milesh/) and Isabelle Mareschal (experimental psychology). All nationalities are eligible to apply, for details see: http://www.jobs.ac.uk/job/AKO352/phd-studentship-in-eye-movement-analysis/ -------------------------------------------------------------------------- Research Assistant: Geometric Evaluation of Stereoscopic Video. School of EECS, Queen Mary, University of London. This new project will develop a new approach to the evaluation of 3D content, based on computational models of human binocular vision. Disparity statistics will be computed from stereoscopic video, by a prototype system, for use in depth-grading and other post-production tasks. To work with Miles Hansard (http://www.eecs.qmul.ac.uk/~milesh/) in conjunction with a high-profile graphics and visual effects company. All nationalities are eligible to apply, for details see: http://www.jobs.ac.uk/job/ATT437/research-assistant/ -------------------------------------------------------------------------- -- http://www.eecs.qmul.ac.uk/~milesh/

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INCF Nodes Workshop in Warsaw, April 16-17
by Daniel Wójcik March 2, 2015

March 2, 2015

Dear Colleagues, Each Spring, the International Neuroinformatics Coordinating Facility (INCF; http://www.incf.org) holds the INCF Nodes Workshop. This is the main event bringing representatives from each Node country together to present their activities, begin and continue collaborations, and inspire the future directions of INCF: http://incf.org/activities/workshops/node-workshops/node-workshops The next workshop will be organized by the Polish Node of INCF, and will spotlight Polish neuroinformatics research in areas from molecular neuroscience to brain-computer interfaces and supercomputing. It will be held at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences (http://en.nencki.gov.pl/) in Warsaw, 16-17 April 2015, and will be the first Nodes Workshop open to the wider scientific community. Registration is free. Deadline for registration: * March 16* Workshop details: http://bit.ly/incf2015spring Looking forward to welcoming you in Warsaw, Daniel Wojcik On behalf of the Polish Node of INCF -- Daniel K. Wojcik, PhD, DSc Laboratory of Neuroinformatics, Head PhD Studies, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://dwojcik.pl/ http://neuroinflab.wordpress.com/ http://orcid.org/0000-0003-0812-9872

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Systems and Computational Neuroscience Down Under (SCiNDU)
by Geoffrey Goodhill March 1, 2015

March 1, 2015

SCiNDU: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWN UNDER qbi.uq.edu.au/scindu<http://qbi.uq.edu.au/scindu> December 15-17th, 2015, Queensland Brain Institute, The University of Queensland, Brisbane, Australia This conference will bring together international leaders in understanding the computational principles underlying how neural circuits decode sensory information, make decisions, and learn from experience. Abstract submissions for poster presentation are welcome. Deadline for abstracts and early registration is Oct 16th 2015. Some abstracts will be selected for short talks. Confirmed invited speakers include: Ehsan Arabzadeh (ANU) Mark Bear (MIT) Michael Breakspear (QIMR) Allen Cheung (QBI) Yang Dan (UC Berkeley) Peter Dayan (UCL) Geoffrey Goodhill (QBI) Zach Mainen (Champalimaud) Jason Mattingley (QBI) Linda Richards (QBI) Peter Robinson (Sydney) Marcello Rosa (Monash) Pankaj Sah (QBI) Mandyam Srinivasan (QBI) Greg Stuart (ANU) Stephen Williams (QBI) Li Zhaoping (UCL) On December 15th the conference will be preceded by tutorials including: Mark Bear: Experience-dependent synaptic plasticity Peter Dayan: Neural reinforcement learning Jason Mattingley: Brain stimulation, attention and plasticity Li Zhaoping: Vision, efficient coding and salience We gratefully acknowledge financial support from the Queensland Brain Institute and the Australian Research Council Centre of Excellence for Integrative Brain Function. 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<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Reminder: MBL Methods in Computational Neuroscience Course 2015: applications due March 5
by Mark Goldman Feb. 28, 2015

Feb. 28, 2015

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 26, 2014, and the online application form can be found at: http://ws2.mbl.edu/studentapp/studentapp.asp?CourseID=MCN. The course application deadline is March 5. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for development and work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2015 Course Directors: Michale Fee, MIT Mark Goldman, UC Davis 2015 Confirmed Faculty: Larry Abbott, Columbia University Steve Baccus, Stanford University Jeff Beck, Duke University William Bialek, Princeton University Dmitri Chklovskii, HHMI Janelia Farm Peter Dayan, University College London Bard Ermentrout, University of Pittsburgh Adrienne Fairhall, University of Washington Ila Fiete, UT Austin Loren Frank, UCSF Michael Frank, Brown University Surya Ganguli, Stanford University John Huguenard, Stanford University David Kleinfeld, UC San Diego Nancy Kopell, Boston University John Lisman, Brandeis University Eve Marder, Brandeis University Bartlett Mel, University of Southern California Jonathan Pillow, Princeton University Maneesh Sahani, University College London Terry Sejnowski, Salk Institute Michael Shadlen, Columbia University Josh Shaevitz, Princeton University Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University David Tank, Princeton University Josh Tenenbaum, MIT Srini Turaga, Janelia Farm Xiao-Jing Wang, NYU Daniel Wolpert, Cambridge University Ryohei Yasuda, Duke University

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a neural architecture for autonomous spatial and object attention, invariant object category learning and recognition, and Where’s Waldo search with freely moving eyes
by Stephen Grossberg Feb. 27, 2015

Feb. 27, 2015

The following series of articles progressively develop a neural architecture for autonomous spatial and object attention, invariant object category learning and recognition, and Where’s Waldo search with freely moving eyes: ARTSCAN View-invariant object category learning and recognition with freely moving eyes in a 2D scene Fazl, A., Grossberg, S., and Mingolla, E. (2009). View-invariant object category learning, recognition, and search: How spatial and object attention are coordinated using surface-based attentional shrouds. Cognitive Psychology, 58, 1-48. http://cns.bu.edu/~steve/FazGroMin2008.pdf pARTSCAN View-, position-, and size-invariant object category learning and recognition with freely moving eyes in a 2D scene Cao, Y., Grossberg, S., and Markowitz, J. (2011). How does the brain rapidly learn and reorganize view- and positionally-invariant object representations in inferior temporal cortex? Neural Networks, 24, 1050-1061. http://cns.bu.edu/~steve/NN2853.pdf dARTSCAN ARTSCAN with transient and sustained distributed attention and prefrontal priming in a 2D scene Foley, N.C., Grossberg, S. and Mingolla, E. (2012). Neural dynamics of object-based multifocal visual spatial attention and priming: Object cueing, useful-field-of-view, and crowding. Cognitive Psychology, 65, 77-117. http://cns.bu.edu/~steve/FolGroMin2012.pdf ARTSCAN SEARCH Solution of Where’s Waldo Problem: finding a valued object in a 2D scene Chang, H.-C., Grossberg, S., and Cao, Y. (2014) Where's Waldo? How perceptual cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene. Frontiers in Integrative Neuroscience, doi: 10.3389/fnint.2014.0043. http://journal.frontiersin.org/Journal/10.3389/fnint.2014.00043/full 3D ARTSCAN ARTSCAN of a 3D scene whose 3D perceptual representations remain stable as the eyes move Grossberg, S., Srinivasan, K., and Yazdanbakhsh, A. (2014). Binocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements. Frontiers in Psychology: Perception Science, doi: 10.3389/fpsyg.2014.01457. http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.01457/full Stephen Grossberg Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Director, Center for Adaptive Systems http://www.cns.bu.edu/about/cas.html http://cns.bu.edu/~steve steve(a)bu.edu

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ECMLPKDD 2015 : Call for Papers, Tutorials and Workshops
by ECMLPKDD 2015 Feb. 27, 2015

Feb. 27, 2015

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) will take place in Porto, Portugal, from September 7th to 11th, 2015 (http://www.ecmlpkdd2015.org) This event is the leading European scientific event on machine learning and data mining and builds upon a very successful series of 25 ECML and 18 PKDD conferences, which have been jointly organized for the past 14 years. ECMLPKDD 2015 will host three tracks, tutorials and a set of workshops. Therefore, we invite all researchers and practitioners from different communities to submit papers and/or present tutorial and workshop proposals. ************************* CALL FOR PAPERS ************************* JOURNAL TRACK ********************* Articles for this track are submitted all year long directly to either Machine Learning or Data Mining and Knowledge Discovery, and are reviewed like regular journal articles. Accepted articles appear in full in the journal and the authors are given a presentation slot at the conference. Articles deemed insufficiently mature for journal publication may be accepted for inclusion in the proceedings. Submissions to the journal track will be managed by the Guest Editorial Board. Paper Submission: Cut-off dates for the bi-weekly batches are 18 Jan, 1 Feb, 15 Fev, 1 Mar, 15 Mar, 29 Mar, 12 Apr, 26 Apr of 2015 Web Page: http://www.ecmlpkdd2015.org/submission/journal-track RESEARCH PROCEEDINGS TRACK ******************************************* The research proceedings track, which is organized in the traditional way. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/research-proceedings-track INDUSTRIAL, GOVERNMENTAL & NON-GOVERNMENTAL PROCEEDINGS TRACK **************************************************************************** ************************** The NEW industrial, governmental & non-governmental (NGO) proceedings track is independent and distinct from the Research Track. Submissions to this track should solve real-world problems and focus on engineering systems, applications, and challenges. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/industrial-proceedings-track ***************************************************************** CALL FOR TUTORIAL AND WORKSHOP PROPOSALS ***************************************************************** TUTORIALS ************** The tutorials are intended to provide a comprehensive introduction to established or emerging research topics of interest for the machine learning and the data mining community. These topics include related research fields or applications. The ideal tutorial should attract a wide audience. It should be broad enough to provide a basic introduction to the chosen research area, but it should also cover the most important topics in depth. We welcome half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-tutorials WORKSHOPS **************** The workshops will be on relevant and current topics in Machine Learning and Data Mining. The scope of the proposal should be consistent with the conference themes as described in the ECMLPKDD 2015 Call for Papers (http://www.ecmlpkdd2015.org/submission) Interdisciplinary workshops that bring together researchers and practitioners from different communities are especially welcome. We encourage workshops that bridge the gap between theoretical advances and important and/or innovative applications of machine learning and data mining. We welcome both full and half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Workshop Websites and Call for Papers Online: March 27, 2015 Workshop Proceedings (Camera-ready): August 3, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-workshop-proposals Hope to see you all soon in Porto, Portugal!!! The publicity chairs of the ECMLPKDD 2015, Carlos Abreu Ferreira Ricardo Campos --- Este e-mail foi verificado em termos de vírus pelo software antivírus Avast. http://www.avast.com

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Postdoctoral position in Computational Neuroscience at IUPUI
by Yaroslav Molkov Feb. 27, 2015

Feb. 27, 2015

A postdoctoral/research associate position in computational neuroscience is available immediately in the NIH funded project focusing on multiscale computational modeling of interactions between respiratory central pattern generator and sympathetic nervous system as it relates to neurogenic hypertension. This collaborative project is performed by the groups of Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA), Ana Abdala (University of Bristol, UK) and Daniel Zoccal (Sao Paulo State University, Brazil). Excessive sympathetic activity plays a crucial role in the development and maintenance of hypertension. Such autonomic dysfunction is observed in hypertensive patients with obstructive sleep apnea (OSA). Chronic exposure to intermittent hypoxia (CIH) that occurs in OSA is the main factor leading to sympathetic overactivity and hypertension. A CIH-driven increase in sympathetic output is largely dependent on the emergence of active expiratory pattern. The respiratory central pattern generator (rCPG) is composed of two interacting oscillators. The first occupies Bötzinger/pre-Bötzinger complexes and generates self-sustained respiratory rhythm controlling the diaphragm to provide inspiration. The second oscillator, the parafacial respiratory group (pFRG), resides in the retrotrapezoid nucleus (RTN). The RTN/pFRG oscillations emerge in hypoxic and hypercapnic conditions, and drive motor output to abdominal muscles for active (forced) expiration. Interactions of these respiratory circuits with the sympathetic neurons of the rostral and caudal ventrolateral medulla evoke respiratory-related oscillations in sympathetic efferent drive. Exposure to CIH leads to alterations in excitability of RTN/pFRG neuronal population and/or modifications in synaptic connections between respiratory oscillators and sympathetic neurons which ultimately results in the elevated baseline sympathetic activity and arterial pressure. This interdisciplinary project aims to reveal the mechanisms that couple breathing and control of blood pressure in the brain in health and disease, and for the first time translate them into a realistic computational model. Such a model will have the unprecedented potential for generating effective non-pharmacological means of controlling blood pressure and breathing via implantable biofeedback devices (e.g. vagus nerve stimulation) and non-invasive devices for guided control of autonomic function (e.g. device-guided paced respiration). Furthermore, it will provide a robust scientific substrate for evaluating the usefulness and safety of alternative medicine interventions, such as controlled breathing practices, for lowering blood pressure and improving heart rate variability. Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline and have excellent programming skills (C++, Matlab, UNIX). Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Molkov ( ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Application processing will begin immediately and the search will remain open until the position is filled. Best Regards, Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

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Postdoctoral positions available in Sophie Deneve's team, Group for Neural Theory, Ecole Normale supérieure, Paris
by Sophie Deneve Feb. 26, 2015

Feb. 26, 2015

Two postdoctoral positions are available in the group of Sophie Deneve, Ecole Normale supérieure Paris. Positions are for one year, renewable one year, and comes with competitive salary and generous equipment and travel funds. The team is part of the “Group for neural theory” ( http://iec-lnc.ens.fr/group-for-neural-theory/) and surrounded by top-level theoretical and experimental labs. Candidates are expected to have a solid training in the field of computational neuroscience, proven quantitative and programming skills and a strong interest in integrative/cognitive neuroscience. Starting dates are flexible, but should preferentially occur before September 2015. Possible projects include: Starting from the hypothesis that biological networks are optimally tuned to maximize coding efficiency and robustness, we will design new tools to analyze their dynamics and function. We will identify functionally relevant, low-dimensional structures in large neural datasets (spontaneous and stimulus-driven multi-unit activity in retina, visual cortex, and/or in Zebrafish whole brain recordings). Sensory neurons are often described in terms by their receptive fields. On the other hand, “generative models” (and more generally, efficient coding) assume that neurons collectively try to predict their stimuli. In such scenarios, prior assumptions, metabolic constrains and context deeply reshape neural selectivity. We will consider implications for learning, attentional modulation and/or hierarchical neural processing. Candidates should send their application to sophie.deneve(a)ens.fr by *March 31, 2015*. Please mention “postdoctoral candidate” in the subject of the email. Application should take the form of a single PDF file, containing a CV, motivation letter, names and email addresses of 2 to 3 referees. No official letter of recommendations are required, as the referee will be contacted directly. Best wishes, -- Dr Sophie Deneve Group for Neural Theory Laboratoire de Neurosciences cognitives ENS-INSERM 29, rue d'Ulm, 75005 Paris, France Tel. (+33) (0)1 44 32 26 35

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New Paper on Network Dynamics of the Human Brain
by Xerxes D. Arsiwalla Feb. 26, 2015

Feb. 26, 2015

Dear Colleagues, For your interest, our paper on dynamics of the human connectome is now available open access. http://journal.frontiersin.org/article/10.3389/fninf.2015.00002/abstract Network Dynamics with BrainX3: A Large-Scale Simulation of the Human Brain Network with Real-Time Interaction Arsiwalla XD, Zucca R, Betella A, Martinez E, Dalmazzo D, Omedas P, Deco G and Verschure PFMJ (2015) Front. Neuroinform. 9:02. doi: 10.3389/fninf.2015.00002 Abstract BrainX3 is a large-scale simulation of human brain activity with real-time interaction, rendered in 3D in a virtual reality environment, which combines computational power with human intuition for the exploration and analysis of complex dynamical networks. We ground this simulation on structural connectivity obtained from diffusion spectrum imaging data and model it on neuronal population dynamics. Users can interact with BrainX3 in real-time by perturbing brain regions with transient stimulations to observe reverberating network activity, simulate lesion dynamics or implement network analysis functions from a library of graph theoretic measures. BrainX3 can thus be used as a novel immersive platform for exploration and analysis of dynamical activity patterns in brain networks, both at rest or in a task-related state, for discovery of signaling pathways associated to brain function and/or dysfunction and as a tool for virtual neurosurgery. Our results demonstrate these functionalities and shed insight on the dynamics of the resting-state attractor. Specifically, we found that a noisy network seems to favor a low firing attractor state. We also found that the dynamics of a noisy network is less resilient to lesions. Our simulations on TMS perturbations show that even though TMS inhibits most of the network, it also sparsely excites a few regions. This is presumably due to anti-correlations in the dynamics and suggests that even a lesioned network can show sparsely distributed increased activity compared to healthy resting-state, over specific brain areas.

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Workshop announcement: HBP Hippocamp CA1
by Szabolcs Káli Feb. 26, 2015

Feb. 26, 2015

Dear Colleagues, Registration is now open for the workshop "HBP Hippocamp CA1: Collaborative and Integrative Modeling of Hippocampal Area CA1", to be held March 31st - April 1st, 2015 at UCL School of Pharmacy in London, supported by the Human Brain Project (www.humanbrainproject.eu) In short, the aims of the workshop are two-fold. First, to engage the larger community of experimentalists and modelers working on hippocampus, and highlight existing modeling efforts and strategic datasets for modeling hippocampal area CA1. Second, to define and bootstrap an inclusive community-driven model and data-integration process to achieve open pre-competitive reference models of area CA1 (and, ultimately, the rest of the hippocampus), which are well documented, validated, and released at regular intervals (supported in part by IT infrastructure funded by HBP). Involvement from the community interested in characterization and modeling of the hippocampus is highly encouraged. To keep the meeting focused on the task, participation will be limited to ~30 people, so registration is required. Please consult the meeting website at http://neuralensemble.org/meetings/HippocampCA1/ for registration and further details. Organizing committee: Jo Falck (UCL), Szabolcs Káli (Hungarian Academy of Sciences), Sigrun Lange (UCL), Audrey Mercer (UCL), Eilif Muller (EPFL), Armando Romani (EPFL) and Alex Thomson (UCL). Best regards, Szabolcs Káli Laboratory of Cerebral Cortex Research Institute of Experimental Medicine Hungarian Academy of Sciences H-1083 Budapest Szigony utca 43. Phone: +36-1-2109413 Fax: +36-1-2109412 E-mail: kali.szabolcs(a)koki.mta.hu www.koki.mta.hu

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Tenth Advanced Statistics and Data Mining Summer School (Madrid, June 29th - July 10th, 2015)
by asdm＠fi.upm.es Feb. 26, 2015

Feb. 26, 2015

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the 'Advanced Statistics and Data Mining' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 29th - July 3rd, 2015) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 6th - July 10th, 2015) * 1st session: 9:45-12:45 Course 7: Statistical Inference(15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Bayesian Classifiers (15 h) Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Fundamentals. Language Modeling. String Processing. Text Classification. Information Extraction. Practical session: GATE (optionally, python). Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Convex Optimization (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

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Call for Papers ( Frontiers in Computational Neuroscience): Special Issue on Neuropsychology through the lenses of Computational Modelling
by Eirini Mavritsaki Feb. 26, 2015

Feb. 26, 2015

Call for Papers Special Issue in Frontiers in Computational Neuroscience 'Neuropsychology through the lenses of Computational Modelling' Extended Deadline for Abstract Submission 16th of March Computational modelling may provide an increasingly important tool for furthering neuropsychology and understanding brain impairments – but there remain many issues: how can different types of lesion be best modelled? What are the differences between damage to grey matter and to fibre tracts? What the effects of learning within damaged systems or systems where there is an imbalance in neurotransmitters? For this reason a special issue that brings together state-of-the-art papers on the computational modelling of neuropsychological disorders, with papers covering different levels of modelling (from spiking neurons to higher-level connectionist modelling), using imaging as well as behavioural data, and addressing a number of different disorders (attention, language, memory etc.) is expended to contribute significantly to the field of Neuropsychology and Computational Neuroscience. In collaboration with Frontiers in Computational Neuroscience, we are organizing a Research Topic titled "Neuropsychology through the lenses of computational modelling”, hosted by Eirini Mavritsaki, Glyn Humphreys. As host editor, I would like to encourage you to contribute to this topic. Frontiers, a Swiss open-access publisher, recently partnered with Nature Publishing Group to expand its researcher-driven Open Science platform. Frontiers articles are rigorously peer-reviewed, can be disseminated freely and are widely read by your colleagues and by the broader scientific and medical research communities. The idea behind a research topic is to create an organized, comprehensive collection of several contributions, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, etc. We have created a homepage on the Frontiers website (Frontiers in Computational Neuroscience) where all articles will appear after peer-review and where participants in the topic will be able to hold relevant discussions: http://www.frontiersin.org/Computational_Neuroscience/researchtopics/Neurop…. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used in classes, be sent to foundations that fund your research, to journalists and press agencies, or to any number of other organizations. As such, a manuscript accepted for publication incurs a publishing fee, which varies depending on the article type. Research Topic manuscripts receive a significant discount on publishing fees. Please take a look at this fee table: http://www.frontiersin.org/about/PublishingFees. Once published, your articles will remain free to access for all readers, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you retain the copyright to your own papers and figures. I would be delighted if you considered participating in this Research Topic. Should you choose to participate, please confirm by sending me a quick email and then your abstract no later than Feb 16, 2015 using the following link: http://www.frontiersin.org/Computational_Neuroscience/researchtopics/Neurop… Please note that the deadline for manuscript submission is on: Jun 30, 2015 Since I am using the Frontiers system to manage this topic, I would really appreciate if you could also please indicate your decision by clicking on one of the links below. <<Variable for accept/decline links – do not edit!>> With best regards, Eirini Mavritsaki Guest Associate Editor, Frontiers in Computational Neuroscience www.frontiersin.org ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Co-Director of the Centre for Applied Psychological Research (CAP Research) Business Development Coordinator for Social Sciences Senior Lecturer in Cognitive Psychology Faculty of Business Law and Social Sciences Birmingham City University D 3.17 Dawson Building City North Campus Perry Bar, Birmingham B42 2SU eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Master's program Cognitive sciences and technologies: from neuron to cognition
by Alex Ossadtchi Feb. 25, 2015

Feb. 25, 2015

National Research University Higher School of Economics, Moscow invites applications for a 2-year Master's program Cognitive sciences and technologies: from neuron to cognition” The 2-year Master’s Program “Cognitive sciences and technologies: from neuron to cognition” invites highly-motivated students to apply. The English-speaking Master's Program is designed for students interested in connecting cognition, neuroscience and computer science. The earliest applications have the higher chances to get the total tuition fee exemption. Scholarships are also available. Leading European and Russian scientists form the HSE research center of excellence teach cognitive science, neuroimaging and modeling. Program’s Web site http://psy.hse.ru/cogito Application period for non-residents: January 1, 2015 - July 15, 2015. Early applications (before March 30) are encouraged. Location: The Higher School of Economics, Moscow, Russia. Additional info: http://www.hse.ru/ma/cogito/announcement Email: cogito(a)hse.ru

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Job opportunity
by jose luis perez velazquez Feb. 25, 2015

Feb. 25, 2015

Please, post this job opportunity. Thanks Our group at the Hospital for Sick Children and the University Health Network in Toronto is offering a full-time research position for 2 years to work on the neurophysiological bases of hypnosis, starting around May 2015, with a stipend of $40,000/year. In this project we will investigate the neurophysical alterations that accompany hypnotic stages and simple memory tasks using intracranial electroencephalography (iEEG) in individuals undergoing standard clinical assessment for their epilepsy. While several studies have advanced the view that hypnosis results in the dissociation, or “disconnection”, between frontal cortices and other brain areas, this evidence has been mainly obtained with non-invasive recordings such as functional neuroimaging. iEEG provides an exceptional opportunity to investigate with high spatial and temporal resolution changes in activity associated with alterations in cognitive states, thus overcoming typical problems that arise during source reconstruction from non-invasive recordings. The experimental procedures that the incumbent will carry out include the preparation and coding of the tasks to be presented to patients during control and mental imagery relaxation states. The incumbent will thus be taught how to administer mental imagery relaxation techniques and associated technicalities involved in such activities. Data analysis will require experience with typical digital signal processing for brain recordings such as power spectra and coherence, among others. Some scripts are already available in MATLAB and FieldTrip for signal processing, and the incumbent will have the chance, and would be encouraged to create his/her own codes, with the assistance of the members of the team. There are two *absolute requirements* for the incumbent: first, an excellent knowledge of coding in MATLAB and willingness to implement experimental tasks using Presentation, PsychoPy, or Psychtoolbox and, second, the ability to learn how to put patients at ease and coach them through the mental imagery relaxation technique that will be taught by one of the members of our team who practices this in his clinic. Specific knowledge of neurophysiology is not required but it will facilitate the project. Nevertheless, the incumbent will have plenty of opportunities to become familiar with neurophysiological techniques, concepts and analysis. The combined expertise of our team, that includes electrophysiological recordings, brain coordination dynamics and psychology, plus the several activities in our institutions, offer an excellent environment for a motivated student of the brain and behaviour. We think that this is a very interesting and innovative project and thus we are seeking a person who is not afraid of facing advanced brain recording methods and analysis of the psychophysics of altered states of consciousness. Those interested should contact and submit a CV to Jose Luis Perez Velazquez, jlpv(a)sickkids.ca, or jose-luis.perez-velazquez(a)sickkids.ca. A couple of potential references may be added to the CV.

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*** ICCM 2015 – Call for Participation ***
by ICCM 2015 Feb. 25, 2015

Feb. 25, 2015

Dear all, We would like to invite you to the 13th International Conference on Cognitive Modeling: the premier conference for research on computational models and computation-based theories of human cognition. ICCM 2015 will take place from April 9-11 in Groningen, the Netherlands, with tutorials on April 8. We are pleased to announce three world-class invited speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience), Mark Steyvers (University of California, Irvine), and John Anderson (Carnegie Mellon University). In addition to these keynotes, we will have three symposia, 27 research talks, and two poster sessions. A preliminary schedule is available on www.iccm2015.org/schedule, and registration is open. More information can be found on http://www.iccm2015.org. We hope to see you in Groningen! Niels Taatgen Marieke van Vugt Jelmer Borst Katja Mehlhorn

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Masterclass, rTMS and Neurofeedback training courses
by Martijn Arns Feb. 25, 2015

Feb. 25, 2015

Masterclass Neuromodulation, Neurofeedback and rTMS View this email in your browser<http://us3.campaign-archive2.com/?u=3bac2a7f26a60f0ffa7edd46d&id=c068f6a6e8…> [https://gallery.mailchimp.com/3bac2a7f26a60f0ffa7edd46d/images/663f9d66-cd0…] * 2nd Masterclass Neuromodulation<http://brainclinics.us3.list-manage1.com/track/click?u=3bac2a7f26a60f0ffa7e…> * 4-day Neurofeedback Training<http://brainclinics.us3.list-manage2.com/track/click?u=3bac2a7f26a60f0ffa7e…> * 2-day rTMS course<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…> Dear colleague, Due to a successful sold out Masterclass Neuromodulation and Personalized Medicine<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…> last January, we have just planned a second edition of this Masterclass on September 25-26, 2015. So when interested in getting a full update on neuromodulation techniques such as rTMSand neurofeedback and imaging updates on QEEG, ERP's, Personalized medicine in ADHD and Depression and the default mode network: Sign-up now<http://brainclinics.us3.list-manage2.com/track/click?u=3bac2a7f26a60f0ffa7e…>, there are only a limited number of places! Furthermore, there are still some places for the upcoming 4-day Neurofeedback in ADHD and Insomnia training course on April 21-24 and 2-day rTMS in Depression and OCD training course on June 11-12, also see our website<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…>. These courses are intended for academics, researchers and clinicians who want to learn to apply these techniques in clinical practice and research settings, or who want to further specialize in these techniques or disorders. Kind regards, Martijn Arns, PhD Twitter: @Brainclinics Research Institute Brainclinics Brainclinics Education URL: www.brainclinics.com<http://brainclinics.us3.list-manage.com/track/click?u=3bac2a7f26a60f0ffa7ed…> [https://gallery.mailchimp.com/3bac2a7f26a60f0ffa7edd46d/images/9014488f-a41…]

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Brains, Minds and Machines Summer Course 2015 -- Deadline March 5, 2015
by Kreiman, Gabriel Feb. 23, 2015

Feb. 23, 2015

Brains, Minds and Machines Summer Course 2015 http://www.mbl.edu/education/special-topics-courses/brains-minds-and-machin… When: August 13 – September 3, 2015 Where: Woods Hole, Massachusetts (MBL) Directors: Gabriel Kreiman, Tomaso Poggio (L. Mahadevan, honorary director) Application deadline: March 5, 2015 This intensive three-week course will give advanced students a “deep end” introduction to the problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines. Today’s AI technologies, such as Watson and Siri and Deep Learning, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines *and* to begin understanding how the brain produces the mind. The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science. The first half of the course will focus on the intersection between biological and computational aspects of learning and vision. The second half will focus on high-level social cognition and artificial intelligence, as well as audition, speech and language processing. Throughout the course, students will participate in tutorials to gain hands on experience with these topics. The course will include presentations by world leaders in the field, discussions with relevant industrial companies interested in AI, hands-on tutorials, evening debates and discussions. Additionally, students will be working on cutting-edge research projects directly guided and mentored by the faculty. This course is organized by the Center for Minds, Brains and Machines: https://cbmm.mit.edu/ Course instructors will include: Tomaso Poggio Gabriel Kreiman Nancy Kanwisher Winrich Freiwald Matt Wilson Josh Tenenbaum Liz Spelke Boris Katz L Mahadevan Jim DiCarlo Aude Oliva Josh McDermott Gabriel Kreiman klab.tch.harvard.edu Use "9265358979" anywhere in the message body to ensure that your message navigates through anti spam filters

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Junior faculty position in Computational Neuroscience at GSU
by Andrey Shilnikov Feb. 23, 2015

Feb. 23, 2015

Hello, please post this information on the forum. Thank you. Junior faculty position in Computational Neuroscience at GSU The Neuroscience Institute at Georgia State University (GSU) invites applications for a tenure track position at the rank of Assistant Professor pending budgetary approval. The ideal candidate will establish a research program that synergizes with existing key strengths in the Neuroscience Institute in behavioral neuroscience, computational neuroscience, neuroendocrinology, and neuroplasticity. Preference will be given to researchers with expertise and a publication record using state-of-the art methodologies. Candidates must hold a Ph.D. or M.D. in a discipline related to neuroscience and should demonstrate the ability to establish a vigorous, externally funded research program and to mentor Ph.D. graduate students. Excellence in teaching at undergraduate and graduate levels is also expected. Candidates should have an outstanding record of accomplishment and a strong desire for research collaboration. The successful candidate would become a core member of the Neuroscience Institute, which is a thriving department housed in the Petit Science Center that provides world-class facilities and an interdisciplinary and collaborative research environment (see http://neuroscience.gsu.edu) A highly competitive salary, start-up funds and laboratory space will be provided. Applications should include a full curriculum vita, names and contact information for three references, and statements of research interests and teaching philosophy. Applications can be submitted either electronically in PDF format to ni-selection-committee(a)gsu.edu<mailto:ni-selection-committee@gsu.edu> or in hard copy to: Chair of the Neuroscience Institute Faculty Search Committee, Neuroscience Institute, PO Box 5030, Georgia State University, Atlanta, GA 30302-50310. Application processing will begin immediately and the search will remain open until the positions are filled. Georgia State University, a Research University of the University System of Georgia, is an EEO/AA employer and encourages applications from women and under-represented minority groups. Offers of employment will be conditional upon background verification. With best regards, Andrey Andrey Shilnikov, PhD Professor Neuroscience Institute Department of Mathematics & Statistics Georgia State University 100 Piedmont Ave Atlanta GA 30303 tel 404.413.6423 e-mail: ashilnikov(a)gsu.edu<mailto:ashilnikov@gsu.edu> http://www.ni.gsu.edu/~ashilnikov

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2nd CFP: Special Session on Quantifying Embodiment, ECAL 2015
by Keyan Ghazi-Zahedi Feb. 22, 2015

Feb. 22, 2015

*** 2nd CALL FOR PAPERS *** 13th European Conference on Artificial Life (ECAL 2015) Special Session on Quantifying Embodiment Session paper submission deadline: 2 March 2015 Notification of acceptance of papers: 17 April 2015 Paper Camera-Ready-Copy deadline: 18 May 2015 Conference convenes: 20-24 July 2015, York, United Kingdom Conference website: http://ecal2015.alife.org <http://ecal2015.alife.org/> Special Session website: http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html <http://www.cs.york.ac.uk/nature/ecal2015/embodiment.html> There is a growing acknowledgement in the artificial life and artificial intelligence community that embodiment is a key for the understanding of cognitive systems. Despite the consensus about the importance of embodiment, there is no clear definition of what the agent’s embodiment actually is. We believe that a quantitative approach can help to answer this open question. This is inspired by Einstein’s answer to the question ”What is time?”, to which he replied ”Time is what clocks measure”. Although this seems to be a trivial answer, it reveals that what we mean by time depends on the way we measure it. We are interested in quantifications of embodiment from various view points and different fields. A non-exclusive list of examples is: • Quantifications of the embodiment’s effect on sensing • Quantifications of the embodiment’s effect on cognitive processes • Quantifications of the embodiment’s effect on acting • Quantifications of brain-body-environment separation We are open to quantifications from any formal approach. Examples are information theory and dynamical systems, but others are highly welcome too. The ideal outcome of the special session would be a good overview of different concepts and quantifications of embodiment and an understanding how they overlap and differ, thereby leading to a better understanding and a clearer picture of what embodiment actually is. Papers are submitted via the ECAL paper submission form and published in the conference proceedings. Special Session Chairs: Keyan Ghazi-Zahedi, Christoph Salge, Georg Martius, Daniel Polani

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[Call for applications] *Graduate Programs ín Computational Neuroscience* in Berlin; MSc and PhD; 7 PhD scholarships; *Three weeks until deadline*
by Robert Martin Feb. 22, 2015

Feb. 22, 2015

[Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2015* *THREE WEEKS TO GO* Begin of courses: October 2015 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *7 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/menue/sensory_computation_in_neural…) The *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2015. The *fellowships of 1468 €/month* - with additional children allowances if applicable---will be granted for up to three years. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). ~~~ _For more information_ ... ... see: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms(a)bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/

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CNS 2015 Abstract submission deadline extended to March 1, 2015
by Tam, Nicoladie Feb. 22, 2015

Feb. 22, 2015

CNS 2015 Abstract Submission Deadline extended to March 1, 2015. Organization for Computational Neurosciences (OCNS) 24th Annual Meeting Prague, Czech Republic July 18-23, 2015 The main meeting (July 19-21) will be preceded by a day of tutorials (July 18) and followed by two days of workshops (July 22-23). Invited Keynote Speakers: Jack Cowan, University of Chicago, USA Gustavo Deco, Universitat Pompeu Fabra, Spain Adrienne Fairhall, University of Washington, USA Wulfram Gerstner, EPFL, Switzerland Registration will open on January 14, 2015. Abstract submission will open on January 15, 2015 and close on extended deadline on March 1, 2015. (This will be the last extension of deadline.) Workshop proposals are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2015-prague

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Phd Neural robots
by Mark Elshaw Feb. 22, 2015

Feb. 22, 2015

Dear all Please see the PhD Studentship at Coventry University in the area of neural robots. http://www.coventry.ac.uk/research/research-students/research-studentships/… If you would like to discuss this PhD. Do not hesitate to contact me at mark.elshaw(a)coventry.ac.uk<mailto:mark.elshaw@coventry.ac.uk>. Best regards Mark ------------------------- Dr Mark Elshaw Lecturer in Computer Science Coventry University

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RA position – Computer vision and automated behavioral analysis – Brown University (Providence, RI)
by Thomas Serre Feb. 21, 2015

Feb. 21, 2015

RA position – Computer vision and automated behavioral analysis – Brown University (Providence, RI) Computational (Thomas Serre) and developmental (Dima Amso) labs in the Department of Cognitive, Linguistic, & Psychological Sciences at Brown university are seeking an NIH-funded research assistant to work on the development of machine learning and computer vision tools, appropriate to examining naturalistic interactions in typical and atypical development. Candidates are expected to have some knowledge of computer vision and/or machine learning methods. The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive. Research groups: Our research groups are located within the Department of Cognitive Linguistic & Psychological sciences at Brown University. We maintain strong ties with the computer science, engineering and applied math departments as part of the Brain Institute. Through Brown’s Center for Computation and Visualization (https://www.ccv.brown.edu) our groups have access to a state-of-the-art computing facility with includes over 300K GPU cores and over 500 Teraflops of GPU computing power. Information about Dr. Serre and his research group can be found at http://serre-lab.clps.brown.edu. Information about Dr. Amso and her research group can be found at http://research.clps.brown.edu/dcnl. Requirements: Applicants are expected to have finished, or be about to finish a BS or MSc in computer science or related discipline. They must have some background in computer vision and/or machine learning. Excellent programming skills are required (C/C++/Matlab/Python). Application: Please send your applications by email to dima_amso(a)correct_university_name.edu where correct_university_name should be replaced by ‘brown'. Please include a brief statement of interests, a curriculum vita and contact details for 2-3 letters of reference (no letters required at this stage). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.

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SAND7 DEADLINE REMINDER
by Barbara Dorney Feb. 20, 2015

Feb. 20, 2015

The seventh international workshop on Statistical Analysis of Neural Data (SAND7) will take place May 27-29, 2015, in Pittsburgh, PA. DEADLINE MARCH 1: Any young investigator interested in presenting their work as a talk should submit an abstract by MARCH 1. Talks by young investigators (graduate students or postdocs/faculty members within 5 years of Ph.D.) will be selected on a competitive basis. DEADLINE MARCH 15: Partial travel support is available! Requests for financial support should be made by MARCH 15. Please see our website: http://sand.stat.cmu.edu <http://sand.stat.cmu.edu/> There will also be a poster session, to which all participants are invited to contribute. Talks and posters may involve new methodology, investigation of existing methods, or application of state-of-the-art analytical techniques. The organizers are Emery Brown, Elizabeth Buffalo, Rob Kass, Liam Paninski, Sri Sarma and Jonathan Victor.

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Deadline extension for CAMP@Bangalore 2015
by U.S.Bhalla Feb. 20, 2015

Feb. 20, 2015

In response to requests, we have extended the deadline for application for CAMP@Bangalore 2015 by one week. Applications are now due on 1 March 2015. CAMP@Bangalore 2015 will run from 27 June 2015 to 12 July 2015. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course will start with remedial tutorials on neuroscience / math / programming and then work upwards from sub-cellular electrical and chemical signaling in neurons, onward to micro-circuits and networks, all with an emphasis on learning, memory and plasticity. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Instructors include: Ad Aertsen (Bernstein Center, Freiburg) Dan Johnston (UT-Austin) Sumantra Chattarji (NCBS, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Michael Hausser (University College, London) Stefano Fusi (Columbia University, New York) Raghav Rajan (Indian Institute of Science Education and Research, Pune) Eric DeWitt (Champalimaud, Lisbon) Mohan Raghavan (Indian Institute of Technology, Hyderabad) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Thank you, Upi Bhalla

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on behalf of Sean Hill - postdoctoral position Geneva
by Reinoud Maex Feb. 19, 2015

Feb. 19, 2015

Please reply to sean.hill(a)epfl.ch. Post-doctoral Researcher : Thalamocortical circuit reconstruction and modeling The Hill Lab of the Centre for Brain Simulation in Geneva, Switzerland, led by Prof. Sean Hill, seeks outstanding candidates for the position of Post-doctoral Researcher Thalamocortical circuit reconstruction and modeling The selected candidate will report directly to the Neuroinformatics section manager. Specific responsibilities include: Gather and integrate data about thalamocortical circuitry from literature, whole brain and in vitro studies Leverage the Blue Brain infrastructure to build thalamocortical circuits and design, implement, analyze and explore novel in silico experiments on network structure, dynamical state regimes and network response properties Contribute to the on-going development, refinement and validation of data-driven unifying brain tissue models Interact with wet-lab to validate and confirm model predictions Interact with engineering teams on visualization, high performance computing and brain simulation portal integration of analyses Profile: PhD in neuroscience, computational neuroscience, physics or related field Expert in scientific computing (python, scipy, numpy, hdf5, gsl, Linux, etc.) Familiar with algorithmic/manual reconstruction of neuron morphologies A strong publication record Experience in supervision of students and teaching Strong team player and fluent English in speech and writing Excellent written and spoken English What we offer: An internationally visible and rising project in simulation-based research in neuroscience using supercomputers A young, dynamic, inter-disciplinary, and international working environment A modern working environment, based at the Biotech Campus in Geneva Secheron. Start date: as soon as possible. Deadline for application: position open until filled. Ref: HG1 Activity rate: 100%. Duration of contract: 1 year, renewable. Applicants should submit a cover letter and a detailed CV in PDF format only, with file name “Surname_position applied to _Cover Letter” and “Surname_position applied to _CV” electronically to jobs.bbp(a)epfl.ch. Please use the position title and the reference in the “object” field.

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Post-Doc Position Opening
by Samir Suweis Feb. 19, 2015

Feb. 19, 2015

Position Title: Postdoctoral Fellow Position location: Padova, Italy, 35131 Subject Area: Statistical Physics/Neuroscience/Complex Systems Position ID: LIPh lab, Department of Physics and Astronomy, University of Padova The LIPh Group of the University of Padua invites applications for a postdoctoral position within the project “Emergence of criticality in the brain” (see Summary below). Appointment duration: 18 months, with possible extension. Start: May 2015 or earlier. Salary will be competitive on European standards, depending on candidate’s experience and qualifications. Profile: strong background on statistical physics. Candidates with both analytical and numerical (e.g. GPU computing / Data Analysis) skills will be favored. Past research experience on brain network modeling / neuroscience is preferable, although not mandatory. The LIPH group, headed by prof. Amos Maritan, is active on a broad spectrum of subjects and it is a vibrant, interdisciplinary research team that benefits greatly from collaboration from all around the world. More information can be found at: http://www.pd.infn.it/~maritan Within the project, the candidate will also work in collaboration with Vassanelli’s ‘NeuroChip’ Lab (www.vassanellilab.eu) where experimental measurements of neuronal network activity will be performed using advanced high-resolution recording techniques. Interested applicants are requested to submit a CV, publication list, a brief cover letter (max 1 pages) and at least two letters of recommendation. All material should be sent to suweis(a)pd.infn.it. For further information please contact A. Maritan (maritan(a)pd.infn.it) The deadline for applications is April 25, 2014. Later applications will also be considered until the positions are filled Summary of the project “Emergence of criticality in the brain”. The project will address the more fundamental question on how and why living systems are often found to be tuned near a critical state. Our approach will try to justify the ubiquitous critical behavior of living systems in terms of its evolutionary advantage. In particular we will expand abstract and general theoretical framework developed in [1] to the context of Boolean networks and by building adaptive evolutionary models on heterogeneous complex networks. In this way we will be able to have a more physical and close description of the particular system under study, i.e. the interaction networks of real neurons. We will then verify and characterize the emergence of criticality in brain networks by analyzing neuronal activity and its propagation as measured in Vassanelli’s lab. Criticality and power law behavior will be assessed by looking at the presence of activity avalanches of firing neurons, taking advantage of the high-resolution and large-scale features of the new recording method. The topological architectures of neural network evolved under different stimuli and the corresponding degree distribution will be also studied. In the first year, we will mainly focus on investigating the spontaneous emergence of criticality in neuronal cultures from the rat cortex. In the second year, networks in slices form the somatosensory barrel cortex will be assessed. [1] Hidalgo, J., Grilli, J., Suweis, S., Muñoz, M. A., Banavar, J. R., & Maritan, A. (2014). Information-based fitness and the emergence of criticality in living systems. Proceedings of the National Academy of Sciences, 111(28), 10095-10100. ------------------- Samir Suweis, Ph.D. https://impactstory.org/SamirSuweis twitter: @SamirSuweis ------------------- Post-Doc Researcher @ Liph Lab Physics Department, Padova University http://www.pd.infn.it/~maritan/index.html Tel: 049 827 72 51

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5 year funded Research Fellow post in Psychology (Birmingham City University)
by Eirini Mavritsaki Feb. 19, 2015

Feb. 19, 2015

Faculty of Business, Law and Social Sciences School of Social Sciences - Department of Psychology Research Fellow Fixed purpose post available for five years Ref No: 022015-62 £31,269 - £36,852 per annum You will join the Centre for Applied Psychological Research which is part of the School of Social Sciences as a post-doctoral research fellow to undertake high quality research into the areas of Social, Health, Cognitive and/or Developmental Psychology. You will join an experienced team of researchers and be given the opportunity to lead on some aspects of current research projects. You will receive training and be given the opportunity to establish yourself as an independent researcher by winning bids and building a publication record. For further information please contact Dr Eirini Mavritsaki (eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk>) or Dr Matt Tonkin (matthew.tonkin(a)bcu.ac.uk<mailto:matthew.tonkin@bcu.ac.uk> ) Closing Date: 19th March 2015 For details of how to apply please visit https://jobs.bcu.ac.uk Birmingham City University promotes Equality of Opportunity and welcomes applications from all sections of the community. Birmingham City University seeks to be a single status employer and benefits include up to 32 days annual holiday, and index linked contributory pension scheme and an employee medical scheme. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Co-Director of the Centre for Applied Psychological Research (CAP Research) Business Development Coordinator for Social Sciences Senior Lecturer in Cognitive Psychology Faculty of Business Law and Social Sciences Birmingham City University D 3.17 Dawson Building City North Campus Perry Bar, Birmingham B42 2SU eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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PhD funded position in Psychology (Birmingham City University) -New insights into ADHD through behavioural and modelling studies
by Eirini Mavritsaki Feb. 19, 2015

Feb. 19, 2015

PhD Student Bursary, School of Social Sciences, Department of Psychology. 3 year funded bursary. REF BLSS PhD PSYCH 1 - New insights into ADHD through behavioral and modelling studies There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. This is the limit of ‘attention’. A major challenge for current researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The projects main aims are to access differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. We aim to do this using a novel interdisciplinary approach, behavioral and computational modelling study together with a food diary. The PhD is part of a bigger research project that is in collaboration with The University of Oxford (Prof. Glyn Humphreys) and Russell Hall Hospital (Dr Chrysavgi Tsakona). The successful applicant will join the newly-established Centre for Applied Psychological Research (CAP Research) within the Division of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. This can include the opportunity to gain teaching experience, to participate in research seminars and to co-supervise undergraduate projects. Lead Supervisor - Dr Eirini Mavritsaki (eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk>). For further information please visit http://www.bcu.ac.uk/courses/social-sciences ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Co-Director of the Centre for Applied Psychological Research (CAP Research) Business Development Coordinator for Social Sciences Senior Lecturer in Cognitive Psychology Faculty of Business Law and Social Sciences Birmingham City University D 3.17 Dawson Building City North Campus Perry Bar, Birmingham B42 2SU eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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CfP: Workshop on Symbiotic Interaction 2015 in Berlin
by Matthias Schultze-Kraft Feb. 19, 2015

Feb. 19, 2015

* Call for Participation and Contributions * International Workshop on Symbiotic Interaction Berlin, 7th and 8th of October 2015 Technische Universität Berlin, Germany www.symbiotic2015.org The Symbiotic Workshop presents an overview of the symbiotic relationships between humans and computers as well as novel advancements therein. There will be organized sessions and room for free discussions to shape the concepts, goals, and directions of this new field of research. The idea of symbiotic systems put forward in this workshop capitalises on the computers’ ability to implicitly (even subliminally) detect the users goals and psycho-physiological states and thereby enhancing human-computer interaction (HCI) without subducting control from the human. A special focus of this year’s Symbiotic Workshop will be on physiological computing approaches, e.g. using brain-computer interface (BCI) technology. Call for Contributions include Research Papers (12 pages including references) or Posters and Demos (6 pages) that contribute to an emergent community investigating Symbiotic Interaction as a future paradigm with theories and conceptual frameworks, experimental paradigms and user studies, multi-modal data analysis and design driven research. Submission guidelines are available from www.symbiotic2015.org. The proceedings (including research papers as well as short papers for posters and demos) will be published in LNCS Springer Lecture Notes in Computer Science. Contributions can be submitted at https://easychair.org/conferences/?conf=symbiotic15. Important dates =============== Submission Deadline: Wednesday, May 25, 2015 Notification of acceptance: Tuesday, July 5, 2015 Submission of final papers: Monday, July 25, 2015 Organization ============ * General Chairs - Benjamin Blankertz, Technische Universität Berlin - Giulio Jacucci, University of Helsinki * Program Chairs - Luciano Gamberini, University of Padova - Anna Spagnolli, University of Padova - Jonathan Freeman, Goldsmiths University * Program Committee (to be completed) - Laura Acqualagna, Technische Universität Berlin - Oswald Barral, University of Helsinki - Benjamin Blankertz, Technische Universität Berlin - Marc Cavazza, Teesside University - Ricardo Chavarriaga, École Polytechnique Fédérale de Lausanne - Cristina Conati, University of British Columbia - Peter Desain, Radboud University Nijmegen - Manuel Eugster, Aalto University - Stephen Fairclough, Liverpool John Moores University - Siamac Fazli, Korea University - Jonathan Freeman, Goldsmiths University - Luciano Gamberini, University of Padova - Hans Gellersen, Lancaster University - Dorota Glowacka, University of Helsinki - Giulio Jacucci, University of Helsinki - David Kirsh, UC San Diego - Juan C. Moreno, Cajal Institute, CSIC - Anton Nijholt, University of Twente - Andreas Riener, Johannes Kepler University Linz - Tuukka Ruotsalo, Aalto University - Paul Sajda, Columbia University - Erin Solovey, Drexel University - Michiel Sovijärvi-Spapé, Aalto University - Anna Spagnolli, University of Padova - Paul Verschure, Universitat Pompeu Fabra Barcelona - Markus Wenzel, Technische Universität Berlin For queries about the conference, please contact: - Benjamin Blankertz <benjamin.blankertz(a)tu-berlin.de> or - Giulio Jacucci <giulio.jacucci(a)helsinki.fi>

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Summer School on Neurorehabilitation - September 13-18, 2015
by Pilar Raya Feb. 19, 2015

Feb. 19, 2015

---------------------------------------------------------------------------------------------- We apologize if you receive multiple copies of this announcement ----------------------------------------------------------------------------------------------- 2015 Summer School on Neurorehabilitation El Saler (Valencia), Spain September 13-18 www.ssnr2015.org info(a)ssnr2015.org ----------------------------------------------------------------------------------------------- Dear colleagues, On behalf of all the organizers it is our pleasure to invite you to the 5th SUMMER SCHOOL ON NEUROREHABILITATION (SSNR2015) that will take place in El Saler (Valencia, Spain) from September 13 to 18 of 2015. SSNR2015 will provide in depth education on advanced procedures for neurorehabilitation of motor dysfunction following stroke, SCI, CP and other neurological conditions, covering practical applications based on neuroprosthetics, robotics interfaces and other combinational and technological approaches. World-class experts in various related disciplines will deliver plenary talks and a set of hands-on workshops will be organized. We are looking forward to welcoming you in Spain September 2015! ----------------------------------------------------------------------------------------------- - Registration - Prospective applicants must fill in the Application Form by May 15, 2015. The admission to the School will be decided upon a selection made by the Steering Committee. Applications received before March 31, 2015 will be given priority. The Steering Committee will select a first group among these early applications. Selected participants will be notified by April 15, 2015 and the registrations must be completed before May 15, 2015. Remaining positions will be allocated among the rest of applications received until May 15, 2015 - Important deadlines - Early Application: March 31, 2015 Early Notification: April 15, 2015 Early Payment: May 15, 2015 Application: May 15, 2015 Notification: June 1, 2015 Payment: July 1, 2015 - Plenary speakers- Metin Akay. University of Houston, USA José Carmena. University of California, Berkeley, USA Gregoire Courtine. Swiss Federal Institute of Technology (EPFL), Switzerland Volker Dietz. Balgrist University Hospital, Switzerland Bernhard Graimann. Otto Bock HealthCare GmbH, Germany David Guiraud. INRIA research scientist, leader of DEMAR team, France Bin He. University of Minnesota, USA Ilse Jonkers. Katholieke Universiteit Leuven, Belgium Hermano Igo Krebs. Massachusetts Institute of Technology and University of Maryland, USA Silvestro Micera. Scuola Superiore Sant’Anna and EPFL Eric Perreault. Northwestern University, USA Dejan Popovic. University of Belgrade, Serbia Zev Rymer. Northwestern University, USA Aiko K. Thompson. Medical University of South Carolina, USA Jonathan Wolpaw. Wadsworth Center. University of New York, USA -Workshops- WS1 - Neural interfaces and Wearable robotics in rehabilitation: a clinical perspective Organizer: Jose L. Pons, CSIC. Co-Organizers: Jose L. Contreras-Vidal, U. Houston, and Gerard E. Francisco, UTHealth WS2 - Muscle synergies: Looking into the CNS Organizer: Diego Torricelli, CSIC WS3 - Workshop on Functional Electrical Stimulation Organizer: Thierry Keller, Tecnalia Research and Innovation WS4 - (TENTATIVE) Workshop on Virtual Rehabilitation Organizer: Belinda Lange, U. Southern California WS5 - Human neuromusculoskeletal modeling Organizers: Massimo Sartori, University Medical Center Goettingen, and Monica Reggiani, University of Padova WS6 - Brain Computer Interfaces: principles and applications in neurorehabilitation Organizer: Arnau Espinosa, Guger Technologies OG WS7 - Operant Conditioning of Spinal Reflexes in Human Subjects Organizers: Aiko Thompson (Medical University of South Carolina) and Jonathan Wolpaw (Univ of New York) For further and up-to-date information, please visit the conference website: www.ssnr2015.org ----------------------------------------------------------------------------------------------- Pilar Raya López Neural Rehabilitation Group, Cajal Institute. Spanish National Research Council (CSIC) Avda. Doctor Arce, 37. 28002. Madrid http://www.neuralrehabilitation.org

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Call for posters/registration: Fifth International Symposium on Biology of Decision-Making (SBDM), 11-13 May 2015 @ Paris, France
by Mehdi Khamassi Feb. 19, 2015

Feb. 19, 2015

[Please accept our apologies if you get multiple copies of this message] Dear colleagues, It is our great pleasure to invite you to the Fifth Symposium on Biology of Decision Making which will take place in Paris, France, on May, 11-13th 2015. Online registration is now open at http://sbdm2015.isir.upmc.fr The deadline for poster submission is: March, 31st. The deadline for registration is: April 30th. Registration fees (150 euros) include lunches, coffee breaks and social event. Please circulate widely and encourage your colleagues and team members to attend. ------------------------------------------------------------------------------------------------ FIFTH SYMPOSIUM ON BIOLOGY OF DECISION MAKING (SBDM 2015) May 11-13, 2015, Paris, France Institut du Cerveau et de la Moelle, Hôpital La Pitié Salpêtrière, Paris, France. & Ecole Normale Supérieure, Paris, France. & Université Pierre et Marie Curie, Paris, France. http://sbdm2015.isir.upmc.fr ------------------------------------------------------------------------------------------------ PRESENTATION: The Fifth Symposium on Biology of Decision Making will take place on May 11-13, 2015 at the Institut du Cerveau et de la Moelle, Paris, France, with a satellite day at Ecole Normale Supérieure, Paris, France. The objective of this three day symposium is to gather people from different research fields with different approaches (economics, ethology, psychiatry, neural and computational approaches) to decision-making. The symposium will be a single-track, will last for 3 days and will include 6 sessions: (#1) Beyond two: Multi-alternative and multi-attribute choices; (#2) Shaky business: Neural sources of choice variability; (#3) Looking for causality: Choice bias following brain manipulation; (#4) The dark side of choice: Delay, effort and punishment; (#5) Choosing the unknown: The route to exploration; (#6) More brains: Choice in social context. CONFIRMED SPEAKERS: Thomas Boraud (CNRS - Université Bordeaux 2, France) Colin Camerer (California Institute of Technology, USA) Peter Dayan (Gatsby Unit, University College London, UK) Mauricio Delgado (Rutgers University, USA) Jan Drugowitsch (Université de Genève, Switzerland) Sylvie Granon (Université d'Orsay - CNRS, France) Hauke Heekeren (Freie Universität Berlin, Germany) Laurence Hunt (University College London, UK) Masud Husain (University of Oxford, UK) Quentin Huys (ETH Zurich - University of Zurich, Switzerland) Brian Knutson (Stanford University, USA) Kenway Louie (New York University, USA) John O'Doherty (California Institute of Technology, USA) Mitsuhiro Okada (Keio University, Japan) Emmanuel Procyk (CNRS - INSERM, France) Christian Ruff (University of Zurich, Switzerland) Aldo Rustichini (University of Minnesota, USA) Liane Schmidt (INSEAD, France) Christopher Summerfield (University of Oxford, UK) Mark Walton (University of Oxford, UK) Melissa Warden (Cornell University, USA) Valentin Wyart (Ecole Normale Supérieure, France) Makiko Yamada (National Institute of Radiological Sciences, Japan) IMPORTANT DATES: March 31, 2015 Deadline for Poster Submission April 30, 2015 Deadline for Registration May 11-13, 2015 Symposium Venue ORGANIZING COMMITTEE: Thomas Boraud (CNRS, Bordeaux, France) Sacha Bourgeois-Gironde (La Sorbonne, Paris, France) Kenji Doya (OIST, Okinawa, Japan) Mehdi Khamassi (CNRS - UPMC, Paris, France) Etienne Koechlin (CNRS - ENS, Paris, France) Mathias Pessiglione (ICM - INSERM, Paris, France) CONTACT INFORMATION : Website, registration, poster submission and detailed program: http://sbdm2015.isir.upmc.fr Contact: sbdm2015 [ at ] isir.upmc.fr / sbdm2015-registration(a)isir.upmc.fr -- Mehdi Khamassi, PhD Researcher (CNRS) Institut des Systèmes Intelligents et de Robotique (UMR7222) CNRS - Université Pierre et Marie Curie Pyramide, Tour 55 - Boîte courrier 173 4 place Jussieu, 75252 Paris Cedex 05, France tel: + 33 1 44 27 28 85 fax: +33 1 44 27 51 45 cell: +33 6 50 76 44 92 http://people.isir.upmc.fr/khamassi

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Radboud Summer School Neural Metrics 2.0 : Connectomics & Large-Scale Methods
by Zeldenrust, Fleur Feb. 19, 2015

Feb. 19, 2015

Neural Metrics 2.0 : Connectomics & Large-Scale Methods The Donders Institute for Brain, Cognition and Behaviour/Radboud University is organizing a summer school on neural metrics with the aim to get participants acquainted with the quantitative analysis of neural organisation and function. In Neural Metrics 2.0 we will build on the success from the previous year, focussing on methods for understanding brain networks such as connectomics as well as large scale and Bayesian methods, with world class speakers, hands-on tutorials, student projects and an interactive debate. The topics covered range from cellular connectomics to human functional connectomics. The course is designed for PhD students and starting postdoctoral researchers working at the interface between cognitive neuroscience and the application of advanced methods. Please consult the Radboud Summer school website (http://www.ru.nl/radboudsummerschool/) for details on the program, social events and registration. Further details for the Neural Metrics Summer School can be found below and on the website (http://www.ru.nl/radboudsummerschool/courses/brain-behaviour/@972443/neural…) Dates : Monday 10 August - Friday 14 August 2015 (1 week) Application Deadline : 15 June 2015 Course leaders : Bernhard Englitz, Marcel van Gerven, Fleur Zeldenrust, Tansu Celikel Donders Institute for Brain, Cognition and Behaviour & Radboud University Participant profile : This course was developed for PhD students and early postdoctoral researchers working at the interface between cellular and cognitive neuroscience requiring advanced methods of analysis. This includes research in the field of Neuroscience with an MSc in Biology, Computer Science, Psychology, Physics, Al, Mathematics, Engineering or a similar major. Admission requirements : As part of the admission procedure, we ask you to send us your CV and a brief motivation letter in which you explain your interest in our course. Course fee : 600 Euros The course fee includes the registration fee, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities. Accommodation is available for the course participants (additional charges apply). For details please see http://www.ru.nl/radboudsummerschool/practical-matters/housing/ Discounts : • 15% discount for students and PhD candidates from Radboud University and partner universities, • 10% Early bird discount deadline: 1 April 2015

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postdoc position ad
by Evelina Fedorenko Feb. 18, 2015

Feb. 18, 2015

Please post. Thanks, Ev POSITION OPENING: We are looking for a postdoctoral researcher for a 1-year position (possibly extendable by another year), to work in an interdisciplinary project investigating the representation of semantic information in the brain and how it is used during sentence comprehension. The project is a collaborative effort across the labs of Ev Fedorenko (MGH/MIT) and Nancy Kanwisher (MIT), within a team in the IARPA Knowledge Representation in Neural Systems program, led by Francisco Pereira (Siemens). The ultimate goal of the team is to build a computational model of the process of language comprehension at the sentence and/or text level, and validate it with behavioral and brain imaging data. Target start date is as soon as possible. RESPONSIBILITIES: Leading one or more components of the project, including designing experiments, collecting and analyzing data (plus overseeing data collection / analyses carried out by graduate students / lab tech working on this project), presenting the results at conferences, and writing up the results for publication. The interdisciplinary nature of the project means that we will be carrying out experiments to inform the building of models of semantic representation of words and sentences from text corpora and curated resources. These will, in turn, be used to help design more informative experiments or carry out other analyses. This presents a unique opportunity for a postdoc to acquire new skills; for example, if the postdoc has a cognitive neuroscience background s/he will be expected to interact closely with the model developers in the team and learn about and leverage the techniques that they use. REQUIREMENTS: We are looking for individuals with a Ph.D. in Neuroscience, Computer Science, Psychology, Cognitive Science, or related fields. Strong quantitative skills are a must. Other desirable knowledge / skills include: i) machine learning, ii) natural language processing, and iii) collection, preprocessing and analysis of brain imaging data (using SPM, FSL or AFNI). SEND APPLICATIONS TO: Ev Fedorenko (evelina9(a)mit.edu) Applications will be reviewed until the position is filled.

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Application Deadline Thursday, February 26, 2015, NIMH Theoretical and Computational Neuroscience Research Program Chief
by Dennis Glanzman Feb. 18, 2015

Feb. 18, 2015

Please see the following job announcement published on the USA Jobs website: https://www.usajobs.gov/GetJob/ViewDetails/394555400 Note that this is a blanket announcement, listing about 75 different positions, Theoretical and Computational Neuroscience is one of them. -- Dennis Glanzman

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PhD and Postdoc positions at the Kavli Institute in Trondheim
by Yasser Roudi Feb. 17, 2015

Feb. 17, 2015

Postdoctoral and PhD positions are available at the Kavli Institute/Centre for Neural Computation, NTNU, Trondheim, Norway. We ware interested in developing and studying statistical models of high-dimensional data, network inference and reconstruction techniques. We study both the statistical and computational aspects of the learning problem as well as the applications to biological networks for which the successful candidate will have access to a wealth of experimental data collected at the Kavli Institute. The group enjoys close ties with NORDITA- The Nordic Institute for Theoretical Physics, ICTP and the Department of Statistics at the City University of New York (group of Kamiar Rahnama Rad). Travel funds are available for collaborations and visits. Our work is highly quantitative and interdisciplinary; applicants should have a strong background in Statistics/Machine Learning, Physics, Electrical Engineering, Computational Neuroscience or similar fields. Interested applicants should send a CV, a short description of past experiences/achievements and future research interests, and arrange for two letters of recommendation to be emailed directly to <yasser.roudi at ntnu dot no>. Questions about the position should also be sent to the same email address.

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joint postdoctoral position at the Kavli Institute & Nordita
by Yasser Roudi Feb. 17, 2015

Feb. 17, 2015

A postdoctoral position jointly funded by NORDITA- The Nordic Institute for Theoretical Physics in Stockholm and the Kavli Institue for Systems Neuroscience in Trondheim is available for studying neural mechanisms of spatial navigation and space memory, and in particular the mechanisms of grid cell and place cell formation. Our work is highly quantitative and interdisciplinary; applicants should have a strong background in statistical/condensed matter physics, computational neuroscience or related fields. Interested applicants should send a CV, a short description of past experiences/achievements and future research interests, and arrange for two letters of recommendation to be emailed directly to Prof. Yasser Roudi < yasser.roudi at ntnu dot no > or Prof. Alexander Balatsky < balatsky at kth dot se >. Please also contact the same email addresses if you have any questions about the position.

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A Long Journey into Reproducible Computational Neuroscience
by Nicolas P. Rougier Feb. 17, 2015

Feb. 17, 2015

Dear all, We've just published a short commentary on what we think is a recurrent problem in computational science concerning the reproducibility and accessibility of models in the literature. We think the case we report (in full cooperation with original authors) is not an isolated case but we would be interested in knowing how serious the problem is from your point of view. Nicolas Rougier --- Computational neuroscience is a powerful ally in our quest to understand the brain. Even the most simple model can shed light on the role of this or that structure and propose new hypothesis concerning the overall brain organization. However, any model in Science is doomed to be proved wrong or incomplete and replaced by a more accurate one. In the meantime, for such replacement to happen, we have first to make sure that models are actually reproducible such that they can be tested, evaluated, criticized and ultimately modified, replaced or even rejected. This is where the shoe pinches. If we cannot reproduce a model in the first place, we're doomed to re-invent the wheel again and again, preventing us from building an incremental computational knowledge of the brain. Full text at: http://journal.frontiersin.org/article/10.3389/fncom.2015.00028/full

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Final call for registration (Feb 27th): Integrated Systems Neuroscience Workshop, March 23-24th, Manchester, UK
by Mark Humphries Feb. 17, 2015

Feb. 17, 2015

[with apologies for cross-posting] A final reminder for registration for the 2-day workshop on "Integrated Systems Neuroscience", at the University of Manchester, March 23-24th 2015. (Organisers: Mark Humphries & Rasmus Petersen) Registration deadline is Friday, February 27th. Register here: http://www.isn2015.ls.manchester.ac.uk/registration/ We have a maximum capacity of 200, so please do register in good time. The programme begins at 12:45 on March 23rd, and ends at 16:45 on March 24th, allowing ample time for travel to and from Manchester, respectively. Numerous inexpensive hotels are located within walking distance of the venue - some suggestions are here: http://www.isn2015.ls.manchester.ac.uk/location/ The goal of this workshop is to showcase the state-of-the-art in integrated systems and computational approaches to key neural circuits. Each session of the programme will comprise a pair of talks presenting complementary experimental and computational work on the same circuit theme. A poster session with wine reception will be held on the first evening. Forty-one posters have been accepted, covering a rich mixture of experimental data and computational approaches; the draft abstract booklet is here: http://www.isn2015.ls.manchester.ac.uk/programme/ Speakers and their themes include: Peter Dayan (Gatsby Computational Neuroscience Unit) & Alex Thiele (University of Newcastle) - Attentional circuits Daniel O'Connor (John Hopkins University) & Srdjan Ostojic (Ecole Normale Superieure, Paris) - Functional cortical networks Peter Magill (MRC Anatomical Neuropharmacology Unit) & Rafal Bogacz (Oxford) - Basal ganglia Michael Orger (Champalimaud Institute, Lisbon) & Gasper Tkacik (IST Austria) - Large-scale dynamics Matteo Carandini (UCL) & Ken Harris (UCL) - Cortical circuits The MRC's Programme Manager for the Neuroscience and Mental Health Board (Emily Gale) will be attending both days, and will be discussing the MRC's role in this area at the end of the second day. For more information, please visit the website: http://www.isn2015.ls.manchester.ac.uk/ Sponsors: we gratefully acknowledge the support of the Medical Research Council and Company of Biologists. Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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PhD studentships in infancy research (including computational modelling) at Lancaster University, UK
by Gert Westermann Feb. 17, 2015

Feb. 17, 2015

5 PhD studentships in interdisciplinary infancy research for entry in October 2015 (Note: This programme takes a cognitive science approach to infant development, and computational modelling is explicitly part of the research methods.) Deadline for applications: 10 April, 2015 The Leverhulme Doctoral Scholarship Programme in Interdisciplinary Research on Infant Development is one of 14 Doctoral Programmes funded by the Leverhulme Trust over the next 5 years. The programme is based in the Psychology Department of Lancaster University (UK) which houses one of the largest infancy research groups in Europe, with researchers addressing infants’ cognitive, social and language development employing a large range of methods (eye tracking, EEG, computational modelling, NIRS). Links with other departments (Linguistics, Computer Science, Mathematics and Statistics) are anticipated. Applications are now open for five fully funded PhD studentships for entry in October 2015. Four of the scholarships will cover UK/EU fees, and the fifth will additionally cover the higher overseas (international) fees. All scholarships provide a living stipend (currently £13,863) and a training allowance for three years. Studentships will have a strong interdisciplinary focus with the expectation to employ multiple methodologies. Awards will be made on the basis of academic excellence and potential for future achievement as demonstrated by your application and supporting references. In addition, you should consider how the research project you propose is aligned with the research interests of current academic staff involved in the Programme (see www.lancaster.ac.uk/leverhulme-dsp <http://www.lancaster.ac.uk/leverhulme-dsp>). You are strongly encouraged to informally contact individual staff members to discuss your specific interests and to develop a research proposal. PhD students will become part of the vibrant environment of the infancy research group and beyond with excellent research facilities and a first class supervision record. You will be encouraged to participate fully, targeting and presenting your work at international conferences, and you will have excellent opportunities to travel to our national and international partner laboratories, receive training in a range of psychological and neurophysiological techniques, participate in research and public engagement meetings, and meet with leading international scientists during an annual conference organized at Lancaster. Lancaster University is in the top 10 under-50-year-old universities internationally (http://www.timeshighereducation.co.uk/world-university-rankings/2014/one-hu… <http://www.timeshighereducation.co.uk/world-university-rankings/2014/one-hu…>), and consistently ranks in the top 10 in the UK. The Psychology Department has a very strong and supportive research atmosphere with a large and active group of graduate students. Students receive their own research support budgets, which can be used to attend national and international conferences. We expect applicants to have excellent undergraduate and Masters degrees in Psychology or a related discipline. You should apply online here: http://www.lancaster.ac.uk/study/postgraduate/ <http://www.lancaster.ac.uk/study/postgraduate/> for a PhD in Psychology by the deadline of 10 April 2015. In the application, please state that you are applying for the Leverhulme Doctoral Scholarship Programme. We ask for a research proposal of up to 1000 words – note that this is different from standard applications because of the selection process involved. The application should identify an appropriate supervisor(s) and you must ensure that references have been provided by the deadline (otherwise the application may not be considered). After the deadline, applications will be reviewed and shortlisted candidates will be invited for interview, before award decisions are made. For further information concerning the studentships, please contact Prof. Gert Westermann (g.westermann(a)lancaster.ac.uk <mailto:g.westermann@lancaster.ac.uk>), and about postgraduate study more generally, please contact the Department of Psychology postgraduate office (postgraduate.psychology(a)lancaster.ac.uk <mailto:postgraduate.psychology@lancaster.ac.uk>). See the Lancaster Leverhulme Scholarship Programme website http://www.lancs.ac.uk/leverhulme-dsp <http://www.lancs.ac.uk/leverhulme-dsp> for more information. Further information about PhD study at Lancaster can be found here www.psych.lancs.ac.uk/postgraduate/phd/ <http://www.psych.lancs.ac.uk/postgraduate/phd/>. -------------------------------------------------------------------------- Prof. Gert Westermann Department of Psychology Lancaster University Lancaster LA1 4YF Phone: +44 (0)1524 592 942 Fax: +44 (0)1524 593 744 g.westermann(a)lancaster.ac.uk <mailto:g.westermann@lancaster.ac.uk> http://www.psych.lancs.ac.uk/people/gert-westermann <http://www.psych.lancs.ac.uk/people/gert-westermann> New book: Harris & Westermann: A Student’s Guide to Developmental Psychology. Psychology Press. <http://www.routledge.com/books/details/9781848720169/>

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ICDL-EpiRob 2015 CFP
by Benjamin Rosman Feb. 17, 2015

Feb. 17, 2015

======================================================== Call for Papers, Tutorials and Thematic Workshops New Conference Feature: BABYBOT CHALLENGE IEEE ICDL-EPIROB 2015 The Fifth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics Brown University, Providence, Rhode Island, USA August 13-16, 2015 http://www.icdl-epirob.org/ == Conference description The past decade has seen the emergence of a new scientific field that studies how intelligent biological and artificial systems develop sensorimotor, cognitive, emotional and social abilities, over extended periods of time, through dynamic interactions with their physical and social environments. This field lies at the intersection of a number of scientific and engineering disciplines including Neuroscience, Developmental Psychology, Developmental Linguistics, Cognitive Science, Computational Neuroscience, Artificial Intelligence, Machine Learning, and Robotics. Various terms have been associated with this new field such as Autonomous Mental Development, Epigenetic Robotics, Developmental Robotics, etc., and several scientific meetings have been established. The two most prominent conference series of this field, the International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), are now joining forces for the fifth time and invite submissions for a joint conference in 2015, to explore and extend the interdisciplinary boundaries of this field. == BABYBOT CHALLENGE -- CASH PRIZES FOR THE TOP SUBMISSIONS We are excited to announce a new ICDL-EpiRob conference feature: the BABYBOT CHALLENGE. The goal of the challenge is to use the tools of developmental robotics to replicate and extend the key findings from one of three selected human-infant studies. Please visit www.icdl-epirob.org for the full announcement, including the three target studies, details on the submission process, and a description of how the winning submissions will be judged and selected. == Keynote speakers (confirmed) Prof. Dare Baldwin, Dept. of Psychology, University of Oregon, USA Prof. Kerstin Dautenhahn, School of Computer Science, University of Hertfordshire, UK Prof. Asif Ghazanfar, Department of Psychology, Princeton University, USA == Call for Submissions We invite submissions for this exciting window into the future of developmental sciences. Submissions which establish novel links between brain, behavior and computation are particularly encouraged. == Topics of interest include (but are not limited to): * the development of perceptual, motor, cognitive, emotional, social, and communication skills in biological systems and robots; * embodiment; * general principles of development and learning; * interaction of nature and nurture; * sensitive/critical periods; * developmental stages; * grounding of knowledge and development of representations; * architectures for cognitive development and open-ended learning; * neural plasticity; * statistical learning; * reward and value systems; * intrinsic motivations, exploration and play; * interaction of development and evolution; * use of robots in applied settings such as autism therapy; * epistemological foundations and philosophical issues. Any of the topics above can be simultaneously studied from the neuroscience, psychology or modeling/robotic point of view. == Submissions will be accepted in several formats: 1. Full six-page paper submissions: Accepted papers will be included in the conference proceedings and will be selected for either an oral presentation or a featured poster presentation. Featured posters will have a 1 minute "teaser" presentation as part of the main conference session and will be showcased in the poster sessions. Maximum two-extra pages can be acceptable for a publication fee of $100 per page. 2. Two-page poster abstract submissions: To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 2-page abstracts. These submissions will NOT be included in the conference proceedings. Accepted abstracts will be presented during poster sessions. 3. Tutorials and workshops: We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. Tutorials are meant to provide insights into specific topics as well as overviews that will inform the interdisciplinary audience about the state-of-the-art in child development, neuroscience, robotics, or any of the other disciplines represented at the conference. A workshop is an opportunity to present a topic cumulatively. Workshops can be half- or full-day in duration including oral presentations as well as posters. Submission format: two pages including title, list of speakers, concept and target audience. 4. Babybot challenge (Deadline June 15, 2015): Special submissions are invited for the Babybot challenge, which is for the first time introduced to this conference. For detailed information please visit www.icdl-epirob.org and navigate to “Babybot Challenge.” All submissions will be peer reviewed. Submission website through paperplaza at: http://ras.papercept.net == Important dates March 9, 2015, paper submission deadline May 15, 2015, author notification July 1, 2015, final version (camera ready) due August 13th-16th, 2015, conference == Program committee General Chairs: Matthew Schlesinger (Southern Illinois Univ.) Dima Amso (Brown University) Bridge Chairs: Jeffrey Krichmar (UC Irvine) Bertram Malle (Brown University) Program Chairs: Anne Warlaumont (UC Merced) Clemént Moulin-Frier (INRIA) Publications Chairs: Lisa Meeden (Swarthmore College) Publicity Chairs: Lola Cañamero (Univ. of Hertfordshire) Matthias Rolf (Osaka University) Benjamin Rosman (CSIR) Local chairs: David Sobel (Brown University) Thomas Serre (Brown University) Finance chairs: Clayton Morrison (University of Arizona) -- This message is subject to the CSIR's copyright terms and conditions, e-mail legal notice, and implemented Open Document Format (ODF) standard. The full disclaimer details can be found at http://www.csir.co.za/disclaimer.html. This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. Please consider the environment before printing this email.

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2015 Telluride Neuromorphic Cognition Engineering Workshop- Call For Applicants
by Ralph Etienne-Cummings Feb. 17, 2015

Feb. 17, 2015

*--------------------------------------------------------------------------------------- **Telluride Neuromorphic Cognition Engineering Workshop* *2015 Neuromorphic Cognition Engineering Workshop* *Telluride, Colorado, June 28th - July 18th, 2015* CALL FOR APPLICATIONS: Deadline is April 2nd, 2015 NEUROMORPHIC COGNITION ENGINEERING WORKSHOP www.ine-web.org Sunday June 28th - Saturday July 18th, 2015, Telluride, Colorado ine-web.org/workshops/workshops-overview/index.html and the workshop wiki is at https://neuromorphs.net/ GOALS: Neuromorphic engineers design and fabricate artificial neural systems whose organizing principles are based on those of biological nervous systems. Over the past 18 years, this research community has focused on the understanding of low-level sensory processing and systems infrastructure; efforts are now expanding to apply this knowledge and infrastructure to addressing higher-level problems in perception, cognition, and learning. In this 3-week intensive workshop and through the Institute for Neuromorphic Engineering (INE), the mission is to promote interaction between senior and junior researchers; to educate new members of the community; to introduce new enabling fields and applications to the community; to promote on-going collaborative activities emerging from the Workshop, and to promote a self-sustaining research field. FORMAT: The three week summer workshop will include background lectures on systems and cognitive neuroscience (in particular sensory processing, learning and memory, motor systems and attention), practical tutorials on emerging hardware design, mobile robots, hands-on projects, and special interest groups. Participants are required to take part and possibly complete at least one of the projects proposed. They are furthermore encouraged to become involved in as many of the other activities proposed as interest and time allow. There will be two lectures in the morning that cover issues that are important to the community in general. Because of the diverse range of backgrounds among the participants, some of these lectures will be tutorials, rather than detailed reports of current research. These lectures will be given by invited speakers. Projects and interest groups meet in the late afternoons, and after dinner. In the early afternoon there will be tutorials on a wide spectrum of topics, including analog VLSI, mobile robotics, vision and auditory systems, central-pattern-generators, selective attention mechanisms, cognitive systems, etc. *2015 TOPIC AREAS:* *Human Auditory Cognition: Communicating with EEG and Virtual Reality Links (The Matrix)*: Shihab Shamma (UM-College Park), Malcolm Slaney (Microsoft), Edward Lalor (Trinity College, Dublin), and Alain de Cheveigne (UPMC, France) *Manipulation Actions: Movements, Forces and Affordances: *Cornelia Fermüller (UMCP), Michael Pfeiffer (INI-UZH), Ryad Benosman (UPMC, Paris), and Andreas Andreou (JHU) *Neuromorphic Natural Language Processing:* John Harris (UFL, Gainesville) and Chris Huyck (Middlesex University) *Spike-Based Cognitive Computing: Seeing, Hearing, and Thinking with Spikes: *Arindam Basu (NTU, Singapore) and John Arthur (IBM Research Almaden) *Computational Neuroscience (invitational mini-workshop)* : Terry Sejnowski (Salk Institute) LOCATION AND ARRANGEMENTS: The summer school will take place in the small town of Telluride, 9000 feet high in southwest Colorado, about 6 hours drive away from Denver (350 miles). Great Lakes Aviation and America West Express airlines provide daily flights directly into Telluride. All facilities within the beautifully renovated public school building are fully accessible to participants with disabilities. Participants will be housed in ski condominiums, within walking distance of the school. Participants are expected to share condominiums. The workshop is intended to be very informal and hands-on. Participants are not required to have had previous experience in analog VLSI circuit design, computational or machine vision, systems level neurophysiology or modeling the brain at the systems level. However, we strongly encourage active researchers with relevant backgrounds from academia, industry and national laboratories to apply, in particular if they are prepared to work on specific projects, talk about their own work or bring demonstrations to Telluride (e.g. robots, chips, software). Wireless internet access will be provided. Technical staff present throughout the workshops will assist with software and hardware issues. We will have a network of PCs running LINUX and Microsoft Windows for the workshop projects. We encourage participants to bring along their personal laptop. No cars are required. Given the small size of the town, we recommend that you do not rent a car. Bring hiking boots, warm clothes, rain gear, and a backpack, since Telluride is surrounded by beautiful mountains. Unless otherwise arranged with one of the organizers, we expect participants to stay for the entire duration of this three week workshop. FINANCIAL ARRANGEMENTS: Notification of acceptances will be mailed out around the April 15th, 2015. The Workshop covers all your accommodations and facilities costs for the 3 weeks duration. You are responsible for your own travel to the Workshop, however, sponsored fellowships will be available as described below to further subsidize your cost. Registration Fees: For expenses not covered by federal funds, a Workshop registration fee is required. The fee is TBD per participant for the 3-week Workshop. This is expected from all participants at the time of acceptance. Accommodations: The cost of a shared condominium, typically a bedroom in a shared condo for senior participants or a shared room for students, will be covered for all academic participants. Upgrades to a private rooms or condos will cost extra. Participants from National Laboratories and Industry are expected to pay for these condominiums. Fellowships: This year we will offer one Fellowship program to subsidize your costs: The EU-CSNII Fellowship (http://csnetwork.eu/) which is funded by the 7th Research Framework Program FP7-ICT-CSNII-601167. The top 8 EU applicants will be reimbursed for their registration fees ($1250), subsistence/travel subsidy (up to Euro 2000) and accommodations cost ($1500). The registration and accommodation costs will go directly to the INE (the INE will reimburse them). We invite applications for a three-week summer workshop that will be held in Telluride, Colorado. Sunday June 28th - Saturday July 18th, 2015. The application deadline is Wednesday, April 2nd and application instructions are described at the bottom of this document. The 2015 Workshop and Summer School on Neuromorphic Engineering is sponsored by the National Science Foundation, Institute of Neuromorphic Engineering, DARPA, Office of Naval Research, The EU-Collaborative Convergent Science Network (CNS-II), University of Maryland - College Park, Institute for Neuroinformatics – University of Zurich and ETH Zurich, Georgia Institute of Technology, Johns Hopkins University, Boston University, University of Western Sydney and the Salk Institute. Directors: Cornelia Fermuller, University of Maryland, College Park Ralph Etienne-Cummings, Johns Hopkins University Shih-Chii Liu, Institute of Neuroinformatics, UNI/ETH Zurich, Switzerland Timothy Horiuchi, University of Maryland, College Park Workshop Advisory Board: Andreas Andreou, Johns Hopkins University Andre van Schaik, University Western Sydney, Australia Avis Cohen, University of Maryland Barbara Shinn-Cunningham, Boston University Giacomo Indiveri, Institute of Neuroinformatics, Uni/Eth Zurich, Switzerland Jonathan Tapson, University Western Sydney, Australia Malcolm Slaney, Microsoft Research Jennifer Hasler, Georgia Institute of Technology Rodney Douglas, Institute of Neuroinformatics, Uni/Eth Zurich, Switzerland Shihab Shamma, University of Maryland Tobi Delbruck, Institute of Neuroinformatics, Uni/Eth Zurich, Switzerland Previous year workshop can be found at: <http://ine-web.org/workshops/workshops-overview/index.html> participant’s registration fees after receipt from CSNII), while the subsistence/travel reimbursement will be provided directly to the participants by the CSNII at the University of Pompeu Fabra, Barcelona, Spain. HOW TO APPLY: Applicants should be at the level of graduate students or above (i.e. postdoctoral fellows, faculty, research and engineering staff and the equivalent positions in industry and national laboratories). We actively encourage women and minority candidates to apply. Anyone interested in proposing or discussing specific projects should contact the appropriate topic leaders directly. The application website is (after February 23rd, 2015): ine-web.org/telluride-conference-2015/apply-info Application information needed: Contact email address. First name, Last name, Affiliation, valid e-mail address. Curriculum Vitae (a short version, please). One page summary of background and interests relevant to the workshop, including possible ideas for workshop projects. Please indicate which topic areas you would most likely join. Two letters of recommendation (uploaded directly by references). Applicants will be notified by e-mail. 23rd February, 2015 - Applications accepted on website 2nd April, 2015 - Applications Due 15th April, 2015 - Notification of Acceptance -- Ralph Etienne-Cummings, PhD, FIEEE Professor and Chairman Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab Laboratory for Computational Sensing and Robotics The Johns Hopkins University Baltimore, MD [image: cid:image001.png@01CFC064.B58B46A0]

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Intrinsic motivations: announcement of several works
by Gianluca Baldassarre <gianluca.baldassarre＠istc.cnr.it> Feb. 16, 2015

Feb. 16, 2015

I announce the publication of various collections of papers and activities on intrinsic motivations (IMs). Please find below a list of brief explanations and links to them. Further below I also briefly introduce intrinsic motivations for those who are not familiar with them. *** Collections of papers and activities on IMs *** Lately I co-edited a special issue (`Topic') of Frontiers. The articles of the Topic were published in part with `Frontiers in Psychology - Cognitive Science' (19 articles): http://journal.frontiersin.org/ResearchTopic/1326 and in part with `Frontiers in Neurorobotics' (6 articles): http://journal.frontiersin.org/ResearchTopic/1797 All articles of the Topic, including an editorial that briefly introduces IMs and summarises the contributions, can be downloaded with one click from this web page as a `Frontiers eBook' (1 pdf file of 45 MB): http://www.frontiersin.org/books/Intrinsic_motivations_and_open-ended_devel… Before the Topic, we edited a Springer book collecting other 17 papers on IMs: `Baldassarre G., Mirolli M. (eds) (2013). Intrinsically motivated learning in natural and artificial systems. Berlin: Springer.' You can see the titles, abstracts, authors of the book chapters, and other information on the book, here: http://link.springer.com/book/10.1007%2F978-3-642-32375-1 We also edited a second Springer book collecting further 14 papers: `Baldassarre G., Mirolli M. (eds) (2013). Computational and Robotic Models of the Hierarchical Organisation of Behaviour. Berlin: Springer-Verlag.' Hierarchical architectures represent a key problem for IMs as the knowledge and skills accumulated under the drive of IMs has to be stored in suitable hierarchical systems. You can see the titles, abstracts and authors of the book chapters, and other information on the book, here: http://link.springer.com/book/10.1007/978-3-642-39875-9 The three collections above were prompted and partially funded by a 4-year EU-funded project, now terminated, called `IM-CLeVeR -- Intrinsically Motivated Cumulative Learning Robots'. The project was funded by the European Commission under the 7th Framework Programme (FP7/2007-2013), ICT Challenge 2 `Cognitive Systems and Robotics' (grant agreement no. ICT-IP-231722). The web-site of the project is here: http://www.im-clever.eu/ In the project web-site you can find information on the project activities and other material on IMs, for example a summary of main results and publications of the project: http://www.im-clever.eu/project/final-results a final digest of the project insights: http://www.im-clever.eu/project/final-digest/final-digest and a `tool-box' of information for those who are interested in IMs: http://www.im-clever.eu/project/final-toolbox/final-toolbox I hope these works contribute to attract an increasing attention of... clever and strongly intrinsically-motivated researchers from different disciplines on intrinsic motivations, a great topic of investigation so important for humans and for technology. *** Brief introduction to intrinsic motivations (IMs) *** Intrinsic motivations are related to things such as curiosity, the interest for novel stimuli and surprising events, and the motivation to learn new behaviours (think about children at play). It has been proposed that the adaptive value of IMs is to motivate and guide the cumulative acquisition of knowledge and skills that can be later used (e.g., in adulthood) to accomplish goals that enhance biological fitness. IMs continue to operate also during adulthood and indeed in humans they underlie life-long learning and typically human activities such as art and scientiﬁc discovery. IMs are also at the core of processes that strongly aﬀect human well-being, such as the sense of competence, self-determination, and self-esteem. Recent neuroscientiﬁc research is starting to uncover the basic brain mechanisms underlying IMs, although under research agendas not directly addressing IMs. For example, IM mechanisms have been related to learning signals based on dopamine, novelty detection in hippocampus, and prediction errors in various parts of brain. In the last decade, IMs have also been introduced in machine learning and autonomous robotics as a means for developing artiﬁcial systems that can autonomously learn several diﬀerent skills in an open-ended, cumulative fashion. The idea is that intelligent machines and robots could autonomously acquire skills and knowledge under the guidance of IMs, and later exploit such knowledge and skills to accomplish the tasks that are useful for the user in more eﬃcient and faster ways than if they had to acquire them from scratch. This possibility would especially enhance the utility of intelligent artiﬁcial systems when operating in real-life environments posing challenges that cannot be foreseen at design time. Although the possible functions and mechanisms of IMs are still debated and seen differently by the different research communities involved, and although the recognition of IMs as a research field per se is only partially accomplished, their link with some of the most sophisticated aspects of human cognition (curiosity, art, science, well-being), and their potential for applications make them an interesting and important research field that deserves additional research efforts. Kind Regards, Gianluca Baldassarre -- .|.CS...|.......|...............|..|......US.|||.|||||.||.||||..|...|....... Gianluca Baldassarre, Ph.D., Laboratory of Computational Embodied Neuroscience, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (LOCEN-ISTC-CNR), Via San Martino della Battaglia 44, I-00185 Roma, Italy E-mail: gianluca.baldassarre(a)istc.cnr.it Web: http://www.istc.cnr.it/people/gianluca-baldassarre Tel: +39 06 44 595 231 Fax: +39 06 44 595 243 Learn from the past, live in(tensely) the present, dream for the future ...CS.|||.||.|||.||..|.......|........|...US.|.|....||..|..|......|.........

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Subject: ECMLPKDD 2015 : Call for Papers, Tutorials and Workshops
by ECMLPKDD 2015 Feb. 16, 2015

Feb. 16, 2015

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) will take place in Porto, Portugal, from September 7th to 11th, 2015 (http://www.ecmlpkdd2015.org) This event is the leading European scientific event on machine learning and data mining and builds upon a very successful series of 25 ECML and 18 PKDD conferences, which have been jointly organized for the past 14 years. ECMLPKDD 2015 will host three tracks, tutorials and a set of workshops. Therefore, we invite all researchers and practitioners from different communities to submit papers and/or present tutorial and workshop proposals. ************************* CALL FOR PAPERS ************************* JOURNAL TRACK ********************* Articles for this track are submitted all year long directly to either Machine Learning or Data Mining and Knowledge Discovery, and are reviewed like regular journal articles. Accepted articles appear in full in the journal and the authors are given a presentation slot at the conference. Articles deemed insufficiently mature for journal publication may be accepted for inclusion in the proceedings. Submissions to the journal track will be managed by the Guest Editorial Board. Paper Submission: Cut-off dates for the bi-weekly batches are 18 Jan, 1 Feb, 15 Fev, 1 Mar, 15 Mar, 29 Mar, 12 Apr, 26 Apr of 2015 Web Page: http://www.ecmlpkdd2015.org/submission/journal-track RESEARCH PROCEEDINGS TRACK ******************************************* The research proceedings track, which is organized in the traditional way. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/research-proceedings-track INDUSTRIAL, GOVERNMENTAL & NON-GOVERNMENTAL PROCEEDINGS TRACK **************************************************************************** ************************** The NEW industrial, governmental & non-governmental (NGO) proceedings track is independent and distinct from the Research Track. Submissions to this track should solve real-world problems and focus on engineering systems, applications, and challenges. Accepted papers will be published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) of Springer, after reviewing by the programme committee. Abstract Submission Deadline: March 26, 2015 Paper Submission Deadline: April 2, 2015 Paper Acceptance Notification: June 1, 2015 Paper Camera Ready Submission: June 15, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/industrial-proceedings-track ***************************************************************** CALL FOR TUTORIAL AND WORKSHOP PROPOSALS ***************************************************************** TUTORIALS ************** The tutorials are intended to provide a comprehensive introduction to established or emerging research topics of interest for the machine learning and the data mining community. These topics include related research fields or applications. The ideal tutorial should attract a wide audience. It should be broad enough to provide a basic introduction to the chosen research area, but it should also cover the most important topics in depth. We welcome half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-tutorials WORKSHOPS **************** The workshops will be on relevant and current topics in Machine Learning and Data Mining. The scope of the proposal should be consistent with the conference themes as described in the ECMLPKDD 2015 Call for Papers (http://www.ecmlpkdd2015.org/submission) Interdisciplinary workshops that bring together researchers and practitioners from different communities are especially welcome. We encourage workshops that bridge the gap between theoretical advances and important and/or innovative applications of machine learning and data mining. We welcome both full and half day workshop proposals. Proposal Deadline: March 2, 2015 Proposal Acceptance Notification: March 23, 2015 Workshop Websites and Call for Papers Online: March 27, 2015 Workshop Proceedings (Camera-ready): August 3, 2015 Web Page: http://www.ecmlpkdd2015.org/submission/call-for-workshop-proposals Hope to see you all soon in Porto, Portugal!!! The publicity chairs of the ECMLPKDD 2015, Carlos Abreu Ferreira Ricardo Campos --- Este e-mail foi verificado em termos de vírus pelo software antivírus Avast. http://www.avast.com

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Subject:SAMSI CCNS Computational Neuroscience Summer School:July 27-31, 2015
by Zhu, Hongtu Feb. 14, 2015

Feb. 14, 2015

> > > >Dear colleagues, > >It is my pleasure to announce the 2015 CCNS Summer School on Computational >Neuroscience. This week-long program will be held on July 27-31,2015 as >part of the 2015-16 program on Challenges in Computational Neuroscience >(CCNS) at the Statistical and Applied Mathematical Sciences Institute >(SAMSI) in Research Triangle Park, North Carolina, USA. >( http://www.samsi.info/CCNS ) > > >The school will include courses on five major research topics in >computational neuroscience by the following instructors: > >* Neural Spike Train Analysis > Mark A. Kramer, Boston University > Uri Eden, Boston University >* Compressed Sensing for Signal Processing > Justin Romberg, Georgia Tech >* Functional Data Analysis for Medical Imaging Data > Hans-Georg Muller, University of California, Davis > Jane-Ling Wang, University of California, Davis >* Big-biomedical Data Integration and Analysis > Jeffrey S. Morris, MD Anderson Cancer Center, University of Texas > Hongtu Zhu, University of North Carolina-Chapel Hill > Yu-Ping Wang, Tulane University >* Shape Analysis and Diffeomorphisms for Medical Imaging Data > Laurent Younes, Johns Hopkins University > >The instructors will give an in-depth overview of each topic followed by >problem/discussion sessions. Software packages will be introduced to >students with datasets to carry out some simple data analysis. This summer >school is targeted for graduate students, postdocs, and junior faculty >from neuroscience, biomedical engineering, radiology, statistics, >and applied mathematics. We may consider a limited number of applications >from senior faculty. > >The application deadline is Monday, June 1, 2015 > >For further information and to apply, see: > http://www.samsi.info/ccns-summer > >or email questions to CCNS(a)samsi.info

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Postdoctoral Fellowships in in System and Computational Neuroscience
by Majid Mohajerani Feb. 14, 2015

Feb. 14, 2015

Postdoctoral Fellowships in System and Computational Neuroscience, University of Lethbridge A position as Postdoctoral Fellow is now open for an outstanding postdoctoral associate to conduct research in the field of neural network functions at the Canadian Centre for Behavioural Neuroscience at the University of Lethbridge, in Lethbridge, Canada. Our goal is to understand cellular and brain system mechanisms of memory and memory disorders associated with aging and brain damage. Brain regions to be investigated include frontal, parietal cortex and hippocampus, with a view to achieving a whole picture of how these brain structures work together dynamically to process, store, and transfer information to one another. The project is a collaborative effort between the research groups of Majid Mohajerani and Bruce McNaughton. Applicants are welcome to contact one of the investigators for more information. Successful candidates will join the highly collaborative and interdisciplinary Brain Dynamics group (http://lethbridgebraindynamics.com/) which has outstanding research strengths in the areas of learning and memory, decision making, information coding and related diseases such as Alzheimer's, schizophrenia, addiction and stroke. Salary scales will be competitive with NIH standards for postdoctoral researchers. Post-doctoral fellow with experience in in-vivo imaging techniques and two-photon imaging, in particular, will be an ideal candidate. Good communication skills are a must. Experience in MATLAB will be an asset. Candidates should be prepared to learn and use cutting-edge physiological, anatomical, and computational techniques, such as virtual reality-based rodent behavioral systems, optogenetic manipulations, and statistical methods for the analysis and modeling of data. This research will be supported by state-of-the-art facilities in the Canadian Centre for Behavioural Neuroscience, including advanced two-photon imaging, voltage sensitive dye imaging, and high density multi-unit electrophysiological recording and optogenetic techniques. Interested applicants must send an email to Dr. Mohajerani ( <mailto:mohajerani@uleth.ca> mohajerani(a)uleth.ca) and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information of three references. Majid H. Mohajerani, PhD. Canadian Centre for Behavioural Neuroscience The University of Lethbridge 4401 University Dr W Lethbridge, AB T1K 3M4 Canada Office: +1(403)394-3950 Lab: +1(403)394-3951 Fax: +1(403)329-2775

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Job Announcement: Chief, Theoretical and Computational Neuroscience Research Program, NIH
by Dennis Glanzman Feb. 14, 2015

Feb. 14, 2015

Dear Colleagues, After 23 years running this program I retired from the NIH effective December 31, 2014. The position is expected to be filled soon, and the announcement should be posted on the NIH Jobs website next week. *"NIH anticipates a recruitment announcement for health science administrators (program officers) in the following areas of science: neurosciences, computational neuroscience, computational biology, neurocircuits, cognitive neuroscience. Please check http://www.jobs.nih.gov/globalrecruitment/ <http://www.jobs.nih.gov/globalrecruitment/> for the additional information and upcoming announcements."* It's been a great pleasure working with all of you in the Computational Neuroscience community! -- Dennis Glanzman

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New book "Understanding Vision: theory, models, and data"
by Zhaoping Li Feb. 13, 2015

Feb. 13, 2015

This book "Understanding Vision: theory, models, and data" is published by Oxford University Press in May 2014 and, by now, it is available from various online sites and shops worldwide. For more information, go to http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html The book's Table of Contents can be viewed at http://www0.cs.ucl.ac.uk/staff/zhaoping.li/prints/TableOfContents.pdf Teaching and learning support for the book (e.g., ppt files for the figures in the book) is also available and will be updated at http://www0.cs.ucl.ac.uk/staff/zhaoping.li/VisionBook.html . Readership: Computational neuroscientists, visual psychologists/cognitive scientists, Visual neuroscientists/physiologists/anatomists, Researchers in machine vision or computer vision or robot vision The book is written in such a way that vision scientists, unfamiliar with mathematical details, should be able to conceptually follow the theoretical principles and their relationship with physiological, anatomical, and psychological observations, without going through the more mathematical pages. For those with a physical science background, especially those from machine vision, this book serves as an analytical introduction to biological vision. It can be used as a textbook or a reference book in a vision course, or a computational neuroscience course for graduate students or advanced undergraduate students. It is also suitable for self-learning by motivated readers. In addition, for those with a focused interest in just one of the topics in the book, it is feasible to read just the chapter on this topic without having read or fully comprehended the other chapters. In particular, Chapter 2 presents a brief overview of experimental observations on biological vision; Chapter 3 is on encoding of visual inputs, Chapter 5 is on visual attentional selection driven by sensory inputs, and Chapter 6 is on visual perception or decoding. Please let me know if you need more information. best wishes, Li Zhaoping

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NIH recruiting program officers in computational neuroscience
by Giancarlo La Camera Feb. 13, 2015

Feb. 13, 2015

(Posted on behalf of Janine Simmons @ NIMH, details below) NIH anticipates recruitment announcement for health science administrator (program officers) in the following areas of science: neurosciences, computational neuroscience, computational biology, neurocircuits, cognitive neuroscience. Please check http://www.jobs.nih.gov/globalrecruitment/ for additional information and upcoming announcements. Please note that the potential position will be included in an HHS-wide announcement to be open *Feb 17-26, 2015* (note the brief time window). Please share this information widely with any PhD-level scientists with appropriate expertise who may be interested in joining an extramural funding team. I am also happy to provide additional information to interested potential applicants. Thanks, Janine -- Janine M. Simmons, M.D., Ph.D. Affect, Social Behavior & Social Cognition Program National Institute of Mental Health (301) 443-1576

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Postdoctoral position in computational/theoretical neuroscience
by Odelia Schwartz Feb. 13, 2015

Feb. 13, 2015

Applications are invited for a postdoctoral position in computational/theoretical neuroscience, in the lab of Odelia Schwartz at the University of Miami. Our lab employs tools of computational and theoretical neuroscience, to study systems from the neural level through to perception and behavior. For example, we develop models of sensory processing based on the hypothesis that images, movies, and sounds have predictable and quantifiable statistical regularities to which the brain is sensitive. The models are constructed through interplay with physiological and psychophysical data. Example projects include but are not limited to: (1) Modeling of how neurons and percepts are affected by contextual information in time dynamically; (2) Modeling of hierarchical cortical processing. For more information about the lab and recent publications, see: http://www.cs.miami.edu/~odelia/ The candidate should have a Ph.D. in a relevant discipline, a strong quantitative background, and an interest in neuroscience. Prior experience would ideally include areas such as computational neuroscience, machine learning, statistics and/or signal processing. University of Miami offers a vibrant interdisciplinary environment, with a growing emphasis on a brain sciences initiative. The position will be in the Department of Computer Science, with opportunities to collaborate with Psychology, Biology and the School of Medicine. The university is located in beautiful Coral Gables, and surrounded by Miami. Initial appointment is for one year with possible yearly renewal for a total period of three years. Salary is competitive and will be commensurate with experience. Please apply online for position # 050932 : UM Careers website http://um.hodesiq.com/job_start.asp Send inquiries; or a CV, a short statement of research interests, and names and contact information of 3 references to: Odelia Schwartz odelia(a)cs.miami.edu The University of Miami offers competitive salaries and a comprehensive benefits package including medical and dental benefits, tuition remission, vacation, paid holidays and much more. The University of Miami is an Equal Opportunity/Affirmative Action Employer. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

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Deadline for RLDM2015 *postponed* to 20th Feb, midnight EST
by Yael Niv Feb. 13, 2015

Feb. 13, 2015

In response to a number of requests, we have, exceptionally, postponed the deadline for submission of abstracts to RLDM2025 by one week, to midnight EST on the 20th Feb 2015. We apologise for the short notice. Do please submit - and we hope to see you in Edmonton in June! -------------------------------- The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2015) www.rldm.org<http://www.rldm.org/> June 7-10, The University of Alberta, Edmonton, Alberta, Canada ====================================================== Submissions to RLDM2015 are now being accepted at https://cmt.research.microsoft.com/RLDM2015 Deadline: 20th February 2015, midnight EST We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to “learning and decision making over time to achieve a goal”, coming from any discipline or disciplines, describing empirical results from human, animal or animat experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear. Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). LaTeX and RTF templates, and sample submissions, are available from http://rldm.org/rldm2015/submission-procedure/ Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors’ separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available. To submit your abstract please go to https://cmt.research.microsoft.com/RLDM2015 Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations. IMPORTANT DATES: Submissions close: 20 Feb 2015, 11:59pm EST Notification of acceptance: by March 28, 2015 (expedited reviewing for those needing an international visa can be requested) Early registration: 28 April 2015 (see http://rldm.org/rldm2015/registration/) Meeting: 7-10 June 2015, Edmonton, Alberta (*NEW* this year: Tutorials on the 7th) RLDM2015 Invited speakers: http://rldm.org/rldm2015/invited-speakers2015/ RLDM2015 Tutorials: http://rldm.org/rldm2015/tutorials/ RLDM2015 Programme Committee: http://rldm.org/rldm2015/committees/rldm2015-program-committee/

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[CfP SASO'2015] 21-25 September 2015 - Boston Massachusetts
by Frédéric Armetta Feb. 13, 2015

Feb. 13, 2015

****************************************************************************************** CALL FOR PAPERS The Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2015) Boston Massachusetts; 21-25 September 2015 https://saso2015.mit.edu/ ****************************************************************************************** Part of FAS* - Foundation and Applications of Self* Computing Conferences Collocated with: The International Conference on Cloud and Autonomic Computing (CAC 2015) The 15th IEEE Peer-to-Peer Computing Conference (P2P 2015) ------------------- Aims and Scope ------------------- The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The complexity of current and emerging networks, software and services, especially in dealing with dynamics in the environment and problem domain, has led the software engineering, distributed systems and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing such computing systems. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. They form the basis for many other self-* properties, such as self-configuration, self-healing, or self-optimization. Systems exhibiting such properties are often referred to as self-* systems. The ninth edition of the SASO conference embraces the inter-disciplinarity and the scientific, empirical, and application dimensions of self-* systems and welcomes novel results on both self-adaptive and self-organizing systems research. The topics of interest include, but are not limited to: - Self-* systems theory: theoretical frameworks and models; biologically- and socially-inspired paradigms; inter-operation of self-* mechanisms; - Self-* systems engineering: reusable mechanisms, design patterns, architectures, methodologies; software and middleware development frameworks and methods, platforms and toolkits; hardware; self-* materials; - Self-* system properties: robustness, resilience and stability; emergence; computational awareness and self-awareness; reflection; - Self-* cyber-physical and socio-technical systems: human factors and visualization; self-* social computers; crowdsourcing and collective awareness; human-in-the-loop; - Applications and experiences of self-* systems: cyber security, transportation, computational sustainability, big data and creative commons, power systems; swarm systems and robotics. - Self-* in education: experience reports; curricula; innovative course concepts; methodological aspects of self-* systems education Contributions must present novel theoretical or experimental results; novel design patterns, mechanisms, system architectures, frameworks or tools; or practical approaches and experiences in building or deploying real-world systems and applications. Contributions contrasting different approaches for engineering a given family of systems, or demonstrating the applicability of a certain approach for different systems, are equally encouraged. Likewise, papers describing substantial innovation or insights in the use and communication of self-* systems in the classroom are welcome. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. -------------------- Important Dates -------------------- Abstract submission: May 8, 2015 Paper submission: May 22, 2015 (There will be no extensions of this deadline!) Notification: June 30, 2015 Camera ready copy due: July 17, 2015 Conference: September 21-25, 2015 ---------------------------- Submission Instructions ---------------------------- All submissions should be 10 pages and formatted according to the IEEE Computer Society Press proceedings style guide and submitted electronically in PDF format. Please register as authors and submit your papers using the SASO 2015 conference management system that will be announced on the website. The proceedings will be published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. Note that a separate Call for Poster Submissions will also be issued. --------------------- Review Criteria --------------------- Papers should present novel ideas in the cross-disciplinary research context described in this call, clearly motivated by problems from current practice or applied research. We expect both theoretical and empirical contributions to be clearly stated, substantiated by formal analysis, simulation, experimental evaluations, comparative studies, and so on. Appropriate reference must be made to related work. Because SASO is a cross-disciplinary conference, papers must be intelligible and relevant to researchers who are not members of the same specialized sub-field. Authors are also encouraged to submit papers describing applications. Application papers are expected to provide an indication of the real world relevance of the problem that is solved, including a description of the deployment domain, and some form of evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome but they must clearly state the insight into any aspect of design, implementation or management of self-* systems which is of benefit to practitioners and the SASO community. ------------------------------- Conference General Chairs ------------------------------- Howard E Shrobe MIT CSAIL, Cambridge, MA, USA Julie A McCann Imperial College London, UK -------------------- Program Chairs -------------------- Emma Hart Edinburgh Napier University Gregory Sullivan BAE Systems AIT Jan-Philipp Steghöfer University of Gothenburg, Sweden

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Reminder: Bernstein Conference 2015 – Call for Workshops
by Seeger, Simone Feb. 13, 2015

Feb. 13, 2015

The National Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2015 in Heidelberg ********************************************************************************** Call for Workshop proposals: Workshops: September 14, 2015 (Main Bernstein Conference: September 15-17, 2015) Deadline of proposal submission: March 15, 2015 Notification of acceptance: April 20, 2015 Conference Registration starts: April 27, 2015 Early Registration Deadline: July 21, 2015 ********************************************************************************** The Bernstein Conference started out as the annual meeting of the National Bernstein Network Computational Neuroscience and has become the largest single-track Computational Neuroscience conference in Europe in recent years. Since 2013, the Bernstein Conference hosts pre-conference workshops, which have developed swiftly into a well-attended event. They supply a stage to debate topical research questions and challenges in Computational Neuroscience and related fields, different points of view and scientific approaches in an informal setting. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. SCHEDULE: September 14, 2015, 9:00 – 18:30. You may apply for either half-day or full-day workshops. Workshop costs: The Bernstein Conference does not provide financial support, but workshop organizers and speakers are offered free workshop registration and reduced fees for the main conference. For further information about the conference, please visit the conference website<http://www.bernstein-conference.de>. DETAILS FOR WORKSHOP PROPOSALS: The Workshop Proposal form can be downloaded here<http://www.nncn.de/de/bernstein-conference/2015/satellite-workshops/worksho…>. Deadline for submission of Workshop Proposals: March 15, 2015 We are looking forward to meeting you in Heidelberg! THE WORKSHOP PROGRAM COMMITTEE Matthias Bethge (Bernstein Center Tübingen) Upinder Bhalla (NCBS, Bangalore) Carlos Brody (Princeton University) Gustavo Deco (University Pompeu Fabra, Barcelona) Andreas Draguhn (Bernstein Center Heidelberg-Mannheim) Daniel Durstewitz (Bernstein Center Heidelberg-Mannheim) Gaute Einevoll (Norvegian University of Life Sciences, Aas) Andreas Herz (Bernstein Center Munich) Peter Kirsch (Bernstein Center Heidelberg-Mannheim) Sara Solla (Northwestern University, Evanston) *** Simone Seeger, M.A. Administration Bernstein Center for Computational Neuroscience Zentralinstitut für Seelische Gesundheit Postfach 12 21 20, 68072 Mannheim J5, 68159 Mannheim Telefon: 0621/1703-1326 oder 06221/54-8310 Fax: 0621/1703-2915 E-Mail: Simone.Seeger(a)zi-mannheim.de<mailto:Simone.Seeger@zi-mannheim.de> Internet: http://www.bccn-heidelberg-mannheim.de<http://www.bccn-heidelberg-mannheim.de/>

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Postdoctoral positions at the Hebrew University: The Gatsby Program in Theoretical Neuroscience
by Yoram Burak Feb. 12, 2015

Feb. 12, 2015

The Gatsby Program in Theoretical Neuroscience at the Edmond and Lily Safra Center for Brain Sciences (ELSC) is inviting applications for postdoctoral fellowships from students who are finishing, or have recently finished, their Ph.D. studies in mathematics, physics, computer science, computational neuroscience, or related fields. Preference will be given to postdocs who perform collaborative research mentored jointly by theorists and experimentalists. A priority area for the Program is sponsoring activities that strengthen the ties between this Program and the two partner centers: the Gatsby Unit for Computational Neuroscience (UCL, London) and the Center for Theoretical Neuroscience (Columbia University, NY). These activities include joint meetings, exchange of students, postdocs and faculty, and collaborative research. Research at ELSC offers a vibrant scientific environment and excellent opportunities for interaction with researchers interested in systems and computational neuroscience. For additional information, see: http://elsc.huji.ac.il. For further information about the Gatsby Program at ELSC, see: http://elsc.huji.ac.il/gatsby. *The Gatsby Fellows Program* In addition to regular postdoctoral fellowships, the program provides special fellowships for outstanding junior researchers at their senior postdoctoral level working on theoretical and computational neuroscience at the Hebrew University. Fellows are admitted to the Program based on their credentials and are free to choose their research agenda and their host lab in the course of their first semester in residence. In addition to upgraded salaries and housing support, Fellows receive modest research funds aimed primarily for travel to other labs or conferences. Fellows are expected to actively participate in initiatives that strengthen Tri-Center interactions. *Applications* Candidates for postdoctoral fellowships and applicants for the Fellows Program are invited to send their CV and research statement, and to arrange for three letters of reference to be sent to Ms. Irit Dagan: irit.dagan1(a)mail.huji.ac.il. *Theoretical Neuroscience at the Hebrew University * Haim Sompolinsky, Program Director (Physics, ELSC) Yoram Burak (Physics, ELSC) Amir Globerson (Computer Science) Yonatan Loewenstein (Cognition, Neurobiology, ELSC) Idan Segev (Neurobiology, ELSC) Naftali Tishby (Computer Science, ELSC) Daphna Weinshall (Computer Science) Yair Weiss (Computer Science, ELSC)

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call for illusion submissions: the 11th Best Illusion of the Year Contest
by Susana Martinez-Conde Feb. 12, 2015

Feb. 12, 2015

****CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 11TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST**** http://illusionoftheyear.com *** We are happy to announce the 11th edition of world's Best Illusion of the YearSM Contest!!*** Submissions are now welcome! Starting this year, the Best Illusion of the YearSM Contest will bring the creativity of the illusion creator community all around the world. To accomplish this, the Contest will become an annual online event, in which anybody with an internet connection can participate! No matter where you live, you can participate as a contestant, and/or vote for the Top 3 winners yourself! Contestants are invited to submit 1-minute videos featuring novel illusions (unpublished, or published no earlier than 2014) of all sensory modalities (visual, auditory, etc.), in mp4 format. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to, a: * Slide presentation, or succession of images, with a voice over (or written text, if you prefer) * Video of yourself describing your illusion * Video of your illusion, expressed in interpretative dance (just kidding -or not-, but you get the idea!) An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 for first place; $2,000 for second place, and $1,000 for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel and the authors/creators will retain copyright of their works. The Top 10 illusions will be posted online to allow worldwide voting. As with submitting your work to any conference, participating in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. Illusions submitted to previous editions of the Contest can be re-submitted to the 2015 Contest, as long as they meet the above requirements and were not among the Top 10 illusions in previous years. You can send your 1-minute video to Dr. Susana Martinez-Conde via email ( <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com) until April 1, 2015. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------------- Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Scholar, Empire Innovator Program State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 http://smc.neuralcorrelate.com <http://smc.neuralcorrelate.com/>

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Postdoc position in Computational Neuroscience in the Clopath lab.
by Claudia Clopath Feb. 12, 2015

Feb. 12, 2015

Postdoc position in Computational Neuroscience in the Clopath lab. ----------------------------------------------------- Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PhD candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. ----------------- The lab:----------------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to clopathlab.imperial(a)gmail.com, with the subject containing 'Postdoc2015'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial(a)gmail.com. The position is open until filled but the earlier applications will be considered first.

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Research Fellow in Computational Neuroscience, University of Surrey, UK
by Thomas Nowotny Feb. 12, 2015

Feb. 12, 2015

On behalf of Dr. Andre Gruening, University of Surrey: Research Fellow in Computational Neuroscience, University of Surrey, UK We are looking for a Research Fellow (Post-Doc) to work on a cross-disciplinaryresearch project in the fields of computational neuroscience, nature-inspired computation and machine learning on "Structures of Learning Algorithms for Spiking Neural Networks" with Dr Andre Gruning at the Computing Department of the University of Surrey. This post and research project are funded by the European Union's high-profile flagship "Human Brain Project", and the researcher will become part of the vibrant community of the Human Brain Project (https://www.humanbrainproject.eu<https://www.humanbrainproject.eu/>) and is expected to proactively interact within other research groups within the Human Brain Project. The researcher will be based at the University of Surrey, but will also be given the opportunity to spend significant amounts of her/his research time at the European Institute for Theoretical Neuroscience at Paris (www.eitn.eu) or with other collaborating Human Brain Project partners. The post holder is expected to hold a PhD (or be close to completion of a PhD) in a relevant area such as Computer Science, Physics, Mathematics or Engineering. Programming skills in C/C++ and/or Python are a must as well as excellent mathematical and analytical skills. Expertise in computational and mathematical modelling of spiking neural networks and their learning algorithms is a plus. Experience with standard neural network modelling tools such as PyNN and NEST are also highly desirable as are excellent scientific writing skills. Mathematical experience should include differential equations, partial derivatives and basic stochastics. Start date: 1st March 2015 or as soon as possible thereafter. The appointment is until 31st March 2016 in the first instance. Interviews for the post are planned for February 2015. Informal enquires are encouraged directly to Dr Andre Gruning (e-mail:a.gruning@surrey.ac.uk<mailto:a.gruning@surrey.ac.uk>, tel: +44-1483-68-2648). A more detailed project description is available on request. Please apply online at https://jobs.surrey.ac.uk/vacancy.aspx?ref=005015 -- Prof. Thomas Nowotny CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics Fax: +44-1273-877873 University of Sussex Falmer, Brighton BN1 9QJ http://sussex.ac.uk/informatics/tnowotny

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postdoc position
by Yuri Ivanenko Feb. 12, 2015

Feb. 12, 2015

I would like to advertise a postdoc position in 'Development of interactive locomotion', see below the job description. Thanks, Yuri Ivanenko ********************** Postdoc position in DEVELOPMENT OF INTERACTIVE LOCOMOTION -- Rome, Italy A postdoctoral position is available in the research group led by Yuri Ivanenko (y.ivanenko(a)hsantalucia.it) in the Laboratory of Neuromotor Physiology of the Santa Lucia Foundation in Rome, Italy, to conduct studies in the area of human interactive locomotion. The postdoctoral researcher will be involved in a new interdisciplinary project (CogIMon), funded by the H2020 program of the European Union, aiming at a step change in human-robot interaction. The consortium comprises leading robotics, computational neuroscience, and human motor control European research groups. Research will be focused on investigating human sensorimotor strategies for coordination and control of human-human interactive locomotion including agents of different sizes (children, adults). Experiments will be conducted to understanding the acquisition of locomotor patterns when in physical contact with others. Applicants should have a recent Ph.D. in a relevant discipline, a real interest in development of human locomotion and sensorimotor control, and strong quantitative and programming skills. Experience with collection and analysis of experimental data, online data processing/control, and modeling of sensorimotor processes are valuable assets. Salary will be commensurate with experience. Applicants should provide a statement of research interests, a curriculum vitae, and contact information for references. The position is available starting on April 1^st 2015 and open until filled. _____________________ Yuri P. Ivanenko, PhD Head of Gait Laboratory, Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, 306 via Ardeatina, 00179 Rome, Italy tel ++39 06.51.50.14.75 fax ++39 06.51.50.14.82 e-mail: y.ivanenko(a)hsantalucia.it Le informazioni contenute in questo messaggio sono riservate e destinate esclusivamente alla/e persona/e o all'ente sopra indicati. E' vietato ai soggetti diversi dai destinatari qualsiasi uso, copia e diffusione di quanto in esso contenuto sia ai sensi dell'art. 616 del codice penale che ai sensi della L. 196/03 (privacy). Se questo messaggio Vi e' pervenuto per errore, Vi preghiamo di non leggerlo, di distruggerlo e di comunicarci l'errone via e-mail o telefonanicamente. The information contained in this message is confidential and is intended for the exclusive use of the person(s) or company(s) above addessed. If you are not the intended recipient(s), you are expressly prohibited from using, copying and distributing this message or any part of it in accordance with art. 616 of the Italian criminal code and the Italian law 196/03 (privacy). If you received this message by mistake please don't read it but destroy it and then inform us by e-mail or by phone.

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Re: [Comp-neuro] New computational neuroscience paper on human postural control system in PLoS Comput Biol.
by André Fabio Kohn Feb. 12, 2015

Feb. 12, 2015

Mesoscale neural model of human spinal cord, muscle receptors, muscle dynamics and standing control biomechanics. This recently published paper starts from neuronal ionic channels to model spinal cord neurons and ends at studying human postural control during quiet stance. It represents a closed loop system, with feedback achieved through appropriate muscle spindle and Golgi tendon organ models. It is a mesoscale model and it was successfully validated both at the individual level and the overall behavior level. Spinal cord neurons (motoneurons and excitatory and inhibitory interneurons) are modeled based on ionic channel dynamics, synapses have dynamic properties, afferent and efferent axons introduce delays, muscles and tendons are modeled based on human data, appropriate models of muscle spindles and Golgi tendon organs provide sensory feedback to the spinal cord. Brain commands on the spinal cord are modeled through Gamma point processes with appropriate parameters. >From an overall theoretical view, the system is composed of nonlinear elements, it is stochastic and has delays and is described by approximately 5000 differential equations. Among its many new results, one is that a mixture of intermittent and continuous motor control may arise from the overall dynamics of the closed loop system, without influence from the brain. Elias, L.A., Watanabe, R.N. Kohn, A.F., 2014 (November). Spinal Mechanisms May Provide a Combination of Intermittent and Continuous Control of Human Posture: Predictions from a Biologically Based Neuromusculoskeletal Model http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.10039… Andre Fabio Kohn, Ph.D. Professor of Biomedical Engineering and Neuroscience University of Sao Paulo, Brazil www.leb.usp.br 2015-01-30 18:36 GMT-02:00 André Fabio Kohn <andfkohn(a)gmail.com>: > This recently published paper starts from neuronal ionic channels to model > spinal cord neurons and ends at studying human postural control during > quiet stance. It represents a closed loop system, with feedback achieved > through appropriate muscle spindle and Golgi tendon organ models. It is a > mesoscale model and it was successfully validated both at the individual > level and the overall behavior level. Spinal cord neurons (motoneurons and > excitatory and inhibitory interneurons) are modeled based on ionic channel > dynamics, synapses have dynamic properties, afferent and efferent axons > introduce delays, muscles and tendons are modeled based on human data, > appropriate models of muscle spindles and Golgi tendon organs provide > sensory feedback to the spinal cord. Brain commands on the spinal cord are > modeled through Gamma point processes with appropriate parameters. > > From an overall theoretical view, the system is composed of nonlinear > elements, it is stochastic and has delays and is described by approximately > 5000 differential equations. > > Among its many new results, one is that a mixture of intermittent and > continuous motor control may arise from the overall dynamics of the closed > loop system, without influence from the brain. > > > > Elias, L.A., Watanabe, R.N. Kohn, A.F., 2014 (November). Spinal Mechanisms > May Provide a Combination of Intermittent and Continuous Control of Human > Posture: Predictions from a Biologically Based Neuromusculoskeletal Model > > > http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.10039… > > > > Andre Fabio Kohn, Ph.D. > > Professor of Biomedical Engineering and Neuroscience > > University of Sao Paulo, Brazil > > www.leb.usp.br >

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Reminder - Feb. 15 Application Deadline for 2015 Summer School on Large-Scale Brain Modelling
by Peter Blouw Feb. 12, 2015

Feb. 12, 2015

[All details about this school can be found online at http://www.nengo.ca/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is inviting applications for our 2nd annual summer school on large-scale brain modelling. This two-week school will teach participants how to use the Nengo simulation package to build state-of-the-art cognitive and neural models. Nengo has been used to build what is currently the world's largest functional brain model, Spaun <http://www.nengo.ca/build-a-brain/spaunvideos> [1], and provides users with a versatile and powerful environment for simulating cognitive and neural systems. We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals. No specific training in the use of modelling software is required, but we encourage applications from active researchers with a relevant background in psychology, neuroscience, cognitive science, engineering, computer science, or a related field. For a look at last year's summer school, please see this short video: http://goo.gl/BXJ3x5 [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://nengo.ca/publications/spaunsciencepaper] ***Application Deadline: February 15, 2015*** Format Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or provide a proof-of-concept of various neural mechanisms. More generally, participants will have the opportunity to: - build perceptual, motor, and cognitive models with spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - use Nengo with your favorite simulator, e.g. Brian, NEST, Neuron, etc. - interface Nengo with various kinds of neuromorphic hardware - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more… Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. There will be a weekend break on June 13-14, and fun activities scheduled for evenings throughout. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Date and Location: June 7th to June 19th, 2015 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ca/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (pblouw(a)uwaterloo.ca)

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Announcing Allen/UW Summer Workshop on the Dynamic Brain 2015
by Adrienne Fairhall Feb. 12, 2015

Feb. 12, 2015

Applications are now open for the second Allen Institute for Brain Science/UW Summer Workshop on the Dynamic Brain. Directed by Christof Koch and Adrienne Fairhall, this course takes place on beautiful San Juan Island, WA, from Aug 23-Sept 6. The course features lectures in basics of experimental and theoretical neurobiology along with practical sessions on coding, big data, modeling and the use of the Allen Institute tools for neuroanatomical exploration and model development. Students will also have access to new high-throughput data sets collected by the Institute in the past year with which to carry out an independent project. Deadline April 1. For details and link to application, see one of: http://alleninstitute.org/summerworkshop http://courses.washington.edu/braindyn/

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New Book: Information Theory
by Jim Stone Feb. 11, 2015

Feb. 11, 2015

I'd like to announce the publication of this book: Information Theory: A Tutorial Introduction by JV Stone Reviews, synopsis, and table of contents can be found here: http://jim-stone.staff.shef.ac.uk/BookInfoTheory/InfoTheoryBookMain.html Note that the examples explored in the final chapter are especially relevant to computational neuroscience and biology. regards, Dr Jim Stone University of Sheffield, UK. http://www.jim-stone.staff.shef.ac.uk/

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Postdoctoral position at Group for Neural Theory, Paris
by Srdjan Ostojic Feb. 11, 2015

Feb. 11, 2015

A postdoctoral position is available in Srdjan Ostojic’s team at the Group Neural Theory, Paris, France (see http://iec-lnc.ens.fr/group-for-neural-theory/) to investigate dynamics and computations in spiking neural networks, combining theoretical approaches, simulations and analysis of neurophysiological datasets. The Group for Neural Theory is a highly interactive and dynamic environment situated in central Paris, and embedded within the strong Parisian theoretical neuroscience community. The ideal candidate should have a strong quantitative background, e.g. in computational neuroscience, physics, applied maths, computer science. Previous experience in neuroscience is preferred but not required. Starting dates are flexible. The position is for two years, with a possible extension for a third year. Candidates should send a letter of motivation (2 pages max), the contact information of 2 to 3 referees and their CVs to srdjan.ostojic at ens.fr *BEFORE March 20th, 2015*. I will be available at Cosyne for informal inquiries. Srdjan Ostojic Group for Neural Theory Ecole Normale Superieure Paris 29, rue d'Ulm 75005 Paris, France

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Open PhD position in MEG/EEG research at Research Center Juelich, Germany
by Martina Reske Feb. 11, 2015

Feb. 11, 2015

We have an open PhD student position in our collaborative project entitled “From spike trains to whole-brain dynamics – Bottom-up and top-down processing during active vision” to fill. This project addresses the question how visual input is processed in extremely short time cycles of fixations and saccades through interaction of various cortical areas. MEG recordings from human subjects performing free viewing tasks will allow for the simultaneous observation of neuronal activities from different cortical areas during active vision. Analysis of subjects’ performance and brain activity on these visual tasks enables us to study the information flow through various cortical areas, and to identify top-down components interacting with bottom-up processes. What we expect from you: * We seek for a highly motivated candidate with curiosity and persistence * A preferable candidate will have background and strong Master degree in physics, neuroscience, electrophysiology, biology, computer science or a closely related field of natural science, preferably in the field of MEG/EEG biophysics, data acquisition and analysis, biostatistics, MEG/EEG biophysics or signal processing * Obligatory: excellent educational records in the related field, good programming and data processing skills, time series analysis and M/EEG source estimation * Substantial expertise in scientific programming (preferable languages: Python, C, C++ ) and substantial knowledge of Linux and Windows * Strong motivation to carry out neuroimaging studies utilizing MEG and to perform source and connectivity analysis * Beneficial: basic knowledge of neuroscience concepts * Ability and willingness to work independently and proactively * Confident appearance and ability to work cooperatively in an interdisciplinary environment * Good interpersonal and communication skills, structured and systematic working style * Fluent in English (spoken and written); beneficial: knowledge of German The candidate will primarily be based at the Jülich Research Center. What we offer: We offer a position in a creative and international team, themes ranging from computational neuroscience, simulation technology and multimodal imaging, see www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> and http://www.fz-juelich.de/inm/inm-4/EN/Forschung/MEG-Physik/_node.html. The Jülich Research Center is one of the largest research centers in Germany, with excellent scientific equipment, located on a green campus, and near the cultural centers Köln, Düsseldorf, and Aachen. The PhD position is available for 3 years. Applications, including a letter clearly motivating your application, CV, publication list, copies of university certificates, and one reference letter should be sent as a single PDF email attachment (max. 10MB) mentioning the internal reference code CSC-GID latest until March 31st , 2015, to should be sent to: Dr. Martina Reske (m.reske(a)fz-juelich.de<mailto:m.reske@fz-juelich.de>) – Scientific Coordinator. Project leaders will be: Prof. Dr. Sonja Grün (INM-6/IAS-6), Dr. Junji Ito (INM-6/IAS-6), Dr. Jürgen Dammers (INM-4) Institute of Neuroscience and Medicine (INM-6, INM-4), Institute for Advanced Simulation (IAS-6), Jülich Research Center and JARA52425 Jülich, Germany, www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Ikerbasque Research Fellow ("Tenure"). Methods in Neuroimaging, Bilbao (Spain)
by Jesus Cortes Feb. 11, 2015

Feb. 11, 2015

Dear researcher, One position for "Ikerbasque Research Fellow" will be host by the new emerging group of Computational Neuroimaging in Biocruces. http://www.biocruces.com/web/biocruces/bc5.08 More information about the position, "Ikerbasque Research Fellow" at http://www.ikerbasque.net/fellows More information about Biocruces http://www.biocruces.com/ Interested researchers must contact me before April 1, 2015. Feel free in contacting me for any further question or comment. Provide a copy of an updated CV remarking best 5 publications. Prof. Jesus M Cortes Ikerbasque Research Professor Head of the Computational Neuroimaging Lab Biocruces Health Research Institute

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Introductory Workshop on Computational Methods in Neuroscience, June 10 – 19, 2015
by Artur Luczak Feb. 10, 2015

Feb. 10, 2015

Campus Alberta Neuroscience is pleased to announce the second annual Introductory Workshop on Computational Methods in Neuroscience. This ten-day workshop is comprised of lectures and hands-on Matlab exercises to introduce students to neuronal data analysis methods. Workshop is aimed for graduate students with little priory experience in quantitative methods who wants to learn Matlab and its application for data analyses. Most costs – including registration fees, travel to Lethbridge, accommodation, and most meals – will be covered for Alberta trainees. Individuals from outside of Alberta are encouraged to apply, but must cover their own costs. These costs are estimated to be around $1300 (excluding travel). Registration for the workshop is now open – complete applications must be received by March 10, 2015 at albertaneuro(a)uleth.ca . Workshop will take place at University of Lethbridge, Alberta, Canada, June 10 – 19, 2015. Course Director is Dr. Bruce McNaughton and course instructors include Drs David Euston, Aaron Gruber, Artur Luczak, Masami Tatsuno and Majid Mohajerani. Further information and application details are available at: www.albertaneuro.ca/workshop Cheers, Artur ------------------------------------------------ Artur Luczak, Ph.D., Assoc. Professor Canadian Centre for Behavioural Neuroscience Department of Neuroscience, University of Lethbridge 4401 University Drive, Lethbridge, AB, T1K 3M4, Canada tel.: (403) 394-3974; fax: (403) 329-2775 http://lethbridgebraindynamics.com/artur_luczak

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Berkeley course in mining and modeling neuroscience data, July 6-17, 2015
by Jeff Teeters Feb. 10, 2015

Feb. 10, 2015

Call for applications: We invite applicants to the 2015 summer course in "Mining and modeling of neuroscience data" to be held July 6-17 at UC Berkeley. A description of the course is below and also at: http://crcns.org/course Application deadline is April 6 (or March 1, for MSRI's sponsored students). ----- Berkeley summer course in mining and modeling of neuroscience data July 6-17, 2015 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen, Jeff Teeters (HWNI, UC Berkeley); Christos Papadimitriou (Simons Institute, Berkeley); Ingrid Daubechies (MSRI, Duke). Scope This course is for students and researchers with backgrounds in mathematics and computational sciences who are interested in applying their skills toward problems in neuroscience. It will introduce the major open questions of neuroscience and teach state-of–the-art techniques for analyzing and modeling neuroscience data sets. The course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The goal of this summer course is to help researchers find new exciting research areas and at the same time to strengthen quantitative expertise in the field of neuroscience. The course is sponsored by the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, the Helen Wills Neuroscience Institute, the Simons Institute for the Theory of Computing and the Mathematical Science Research Institute. Format The course is “hands on” in that it will include exercises in how to use and modify existing software tools and apply them to data sets, such as those available in the CRCNS.org repository. Course Instructors Vitaly Feldman, IBM Almaden Research Center Sonja Grün, Juelich Research Center, Germany Robert Kass, Carnegie Mellon University, Pittsburgh Maneesh Sahani, Gatsby Unit, University College London Odelia Schwartz, University of Miami Eric Shea-Brown, University of Washington Frederic Theunissen, UC Berkeley Course Moderators Fritz Sommer and Jeff Teeters, Redwood Center for Theoretical Neuroscience Speakers To complement the main course instruction there will be lectures in the evenings by local Berkeley and UCSF neuroscientists presenting their research using quantitative approaches. Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and have some experience using MatLab and Python. Each student should bring a laptop with the software installed. Cost There is no cost to attend. Assistance for travel, housing and food costs is in general not provided, (except for students who are sponsored by MSRI or the Simons Institute; see below). Potential financial support Support for a limited number of students to attend will be provided through both MSRI and the Simons Institute for the Theory of computing. Applicants who are at a MSRI partner institution can be admitted to the course and receive support for attending through MSRI as described at: http://www.msri.org/web/msri/scientific/workshops/summer-graduate-school Applicants with a Computer Science background are invited to apply for support by the Simons Institute for the Theory of Computing and the Computer Community Consortium (CCC). See “How to Apply” section. Housing There may be some limited dorm housing available. Cost is $742 per person in a shared double room, which includes an all-you-can-eat buffet dinner on evenings that meals are not supplied with the course. We will help coordinate sharing of dorm rooms for those who wish to stay in the dorms. Other housing options include: a hostel near campus ( http://berkeleyhostel.com) which is $32 / night for a bed in shared dorm room; nearby hotels (http://visitberkeley.com/stay) and accommodations advertised through craigslist.org and airbnb.org. We will help students setup groups to search for shared housing together. Food Most meals are not included with the course, although breakfast items, snacks and some dinners will be provided. Food for other meals can be purchased at the dorm cafeteria and local restaurants. How to apply There are two methods of applying. Method 1) Students at a MSRI partner institution can be admitted to the course and receive support for attending through MSRI as described at: http://www.msri.org/web/msri/scientific/workshops/summer-graduate-school Method 2) All non-MSRI applications are submitted via the online form linked from: http://crcns.org/course. A curriculum vitae and a letter of recommendation are required. Those applying using method 1 can also apply using method 2 (in case the MSRI supported positions are all taken). Applicants with a computer science background who wish to apply for support from the Simons Institute for the Theory of Computing must apply using method 2 and include additional information as instructed on the application form. The course is limited to 25 students. Deadlines Applications must be received by April 6 (or March 1, for MSRI’s sponsored students). Notifications of acceptance will be given by the end of April. If staying in dorm housing, and not sponsored by MSRI or the Simons Institute, payment for housing and the meal plan must be received one week before the start of the course. Questions Questions about the course can be sent to course [at] crcns.org. Topics covered Basic approaches: - The problem of neural coding - Spike trains, point processes, and firing rate - Statistical thinking in neuroscience - Theory of model fitting / regularization / hypothesis testing - Bayesian methods - Spike sorting - Estimation of stimulus-response functionals: regression methods, spike-triggered covariance - Variance analysis of neural response - Estimation of SNR. Coherence Information theoretic approaches: - Information transmission rates and maximally informative dimensions - Scene statistics approaches and neural modeling Techniques for analyzing multiple-unit recordings: - Cross-correlation and JPSTH - Sparse coding/ICA methods, vanilla and methods including statistical models of nonlinear dependencies - Unitary event analysis - Methods for detection of higher-order correlations - Correlation approaches for massively parallel spike trains - Proper surrogates for spike synchrony analysis - Methods for assessing functional connectivity - Advanced topics in generalized linear models - Low-dimensional latent dynamical structure in network activity–Gaussian process factor analysis/newer methods Towards building a theory of the brain: - Applications of mathematical analysis of dynamical systems in neuroscience - Approaches based on methods from theoretical computer science

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Final program, qbio seminar in Bilbao, February 17-18, 2015
by Jesus Cortes Feb. 10, 2015

Feb. 10, 2015

This is the final program for the BCAM workshop in Quantitative Biomedicine next week Tuesday, February 17, 2015 9:30-11:30. Session 1. 09:30-10:10 Joanna Tyrcha. Stochastic stability and dynamic behavior of a compound cell-cycle model 10:10-10:50 Mathieu Desroches. Mixed-Mode Bursting Oscillations (MMBOs): slow passage through spike-adding canard explosion 10:50-11:30 Albert Granados. The period adding phenomenon in periodically driven hybrid spiking models 11:30-12:10. Coffee Break 12:10-14:10 Session 2. 12:10-12:50 Edward J. Vigmond. Cardiac Applications of Computational Electrophysiology 12:50-13:30 Pablo Lamata. Extraction of diastolic biomarkers through personalization of computational models 13:30-14:10 Aciel Eshky. Condition Monitoring of Athletes with a Wearable Heart Rate Variability Sensor 14:10-15:20 Lunch 15:20-18:00. Session 3. 15:20-16:00 Cesar Caballero. The power of haemodynamic deconvolution for mapping brain dynamics with BOLD functional MRI 16:00-16:40 Andrea Fuster. Geometric framework for diffusion MR images of the brain: theory and applications 16:40-17:20 Ernesto Sanz-Arigita. Multimodality MRI in different groups at risk for developing Alzheimer’s disease: towards multidimensional brain imaging biomarkers. 17:20-18:00 Pierrick Coupe. New patch-based estimators for early detection of Alzheimer’s disease Wednesday, February 18, 2015 9:30-11:30. Session 4. 09:30-10:10 Bert Kappen. Explaining missing heritability with Gaussian Process regression 10:10-10:50 Alberto Llera. Efficient Gaussian/Inverse Gammas mixture-models: a new tool for thresholding ICA statistical maps from fMRI data 10:50-11:30 Estibaliz Garrote. Computer vision applied to digital pathology: image search engine based on clinical similarity 11:30-12:10 Coffee Break 12:10-14:10. Session 5. 12:10-12:50 Michael Wibral. Information transfer and causal interactions - Conceptual differences and combined analyses strategies 12:50-13:30 Luca Faes. Dynamics of Information Storage, Transfer and Modification in the Cardiovascular System 13:30-14:10 Adam Barrett. Synergistic and redundant information sharing in Gaussian systems 14:10-15:20 Lunch 15:20-18:00. Session 6. 15:20-16:00 Ruedi Stoop. Power-law size distribution of activated avalanches - what do they really mean? 16:00-16:40 Daniele Marinazzo. Tracking slow modulations in synaptic gain using dynamic causal modelling: Validation in epilepsy 16:40-17:20 Paolo Paradisi. Intermittency-based complexity measures in brain EEG data 17:20-18:00 Jordi Soriano. Experiments in Neuronal Cultures: Exploring Open Questions in Physics and Medicine

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Fellowships in Theoretical and Computational Neuroscience at the University of Pennsylvania
by Vijay Balasubramanian Feb. 10, 2015

Feb. 10, 2015

Postdoctoral Fellowships in Theoretical and Computational Neuroscience University of Pennsylvania The Computational Neuroscience Initiative (CNI, http://cni.upenn.edu) of the University of Pennsylvania seeks exceptional candidates for two CNI Postdoctoral Fellowships. Candidates with strong quantitative skills from a variety of fields including neuroscience, cognitive science, psychology, physics, mathematics, and engineering will be considered. The selected Fellows will join an inter-disciplinary research environment in historic Philadelphia. CNI Fellows will be encouraged to foster collaborative research between multiple labs. The CNI supports inter-disciplinary and collaborative research at the frontier of knowledge about the brain, behavior, and the mind. We focus on systems-level approaches that integrate theory and computation with experiment. Our members include faculty, post-docs, and students from multiple programs and departments including neurobiology, cognitive science, psychology, physics, mathematics, electrical engineering, and computer science. Our research and training spans the three major elements of the field of Computational Neuroscience: 1) Theory -- understanding the brain as an information-processing machine; 2) Experiments -- providing quantitative methods to aid in the design, implementation, analysis, and interpretation of empirical studies that probe all levels of brain function, from molecules to behavior; and 3) Applications -- including robotics, brain-machine interfaces, and new clinical tools. Applications should be submitted by email to compneuro(a)sas.upenn.edu <mailto:compneuro@sas.upenn.edu> and should consist of a CV and a cover letter stating the candidate's research experience and reasons for applying to this Fellowship. Please arrange for up two three letters of recommendation to be sent to the same email address with the candidate's name in the subject line. Review of applications will begin on February 30 and continue on a rolling basis until the positions are filled. The University of Pennsylvania values diversity and seeks talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu <http://jobs.hr.upenn.edu/>). Vijay Balasubramanian, Director David Brainard, Co-Director Joshua Gold, Co-Director

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Call for Abstracts – IWSP7: Epilepsy Mechanisms, Models, Prediction & Control
by Levin Kuhlmann Feb. 9, 2015

Feb. 9, 2015

The 7th International Workshop on Seizure Prediction (IWSP7: Epilepsy Mechanisms, Models, Prediction & Control) will bring together world leading epileptologists, engineers, physicists, mathematicians, neurosurgeons and neuroscientists to focus on epilepsy research in Melbourne Australia from 3-6 August 2015. Abstract submission deadline: 16th April 2015. Notification of acceptance: 31st May 2015. Early bird registration: full: AU$465; Student/Early Career Researcher: AU$165. Early bird registration deadline: 30th June 2015. Standard registration: full: AU$565; Student/Early Career Researcher: AU$265. Over 30 generous travel stipends will be awarded to participants submitting the best abstracts as determined by the IWSP7 Scientific Advisory Board. The majority will be awarded to undergraduate or postgraduate students and early career researchers (people who completed their PhD within the period of the 3 years preceding 3rd August 2015). Topics for abstracts include, but are not limited to: seizure prediction, detection and control; seizure mechanisms, animal models and human neurophysiology; neuroimaging of epilepsy/seizure localisation; computational modelling of epilepsy; epilepsy networks; high frequency oscillations; model-based estimation, statistical signal processing or control theory applied to epilepsy. For information on invited speakers and the preliminary conference program, and how to submit abstracts and register visit: www.iwsp7.org<http://www.iwsp7.org> Please forward this notice to anyone that you think might be interested. We look forward to seeing you at the meeting! On behalf of the local organizing committee Levin Kuhlmann, PhD David B. Grayden, PhD Mark J. Cook, MD Dean R. Freestone, PhD Alan Lai, PhD Elma O'Sullivan-Greene, PhD Andre Peterson, BSc(hons) Email: organizingcommittee(a)iwsp7.org<mailto:organizingcommittee@iwsp7.org>

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SAND 7 Workshop Announcement
by Barbara Dorney Feb. 9, 2015

Feb. 9, 2015

The seventh international workshop on Statistical Analysis of Neural Data (SAND7) will take place May 27-29, 2015, in Pittsburgh, PA. Partial travel support is available. Requests for financial support should be made by MARCH 15. There will be talks by senior investigators and junior investigators. The talks by young investigators (graduate student or postdoc/faculty within 5 years of Ph.D.) will be selected on a competitive basis. Any young investigator interested in presenting their work as a talk should submit an abstract by MARCH 1. Please see our website: http://sand.stat.cmu.edu There will also be a poster session, to which all participants are invited to contribute. Talks and posters may involve new methodology, investigation of existing methods, or application of state-of-the-art analytical techniques. Here are the confirmed keynote speakers: Gyorgy Buzsaki (NYU) Marlene Cohen (University of Pittsburgh) Adrienne Fairhall (University of Washington) Bruce Rosen (Harvard, MGH) Mark Schnitzer (Stanford) Sebastian Seung (Princeton) This workshop series is concerned with analysis of neural signals from various sources, including EEG, fMRI, MEG, 2-Photon, and extracellular recordings. It aims to define important problems in neuronal data analysis and useful strategies for attacking them; foster communication between experimental neuroscientists and those trained in statisti- cal and computational methods encourage young researchers, including graduate students, to present their work; and expose young researchers to important challenges and oppor- tunities in this interdisciplinary domain, while providing a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues. The organizers are Emery Brown, Elizabeth Buffalo, Rob Kass, Liam Paninski, Sri Sarma and Jonathan Victor. -- Barbara Dorney Assistant to the Co-Director CNBC - Carnegie Mellon University 115 Mellon Institute 4400 Fifth Avenue Pittsburgh, PA 15213 (412) 268.6557 (412) 268.5060 (fax)

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Navigation workshop, April 11th, Edinburgh
by Barbara Webb Feb. 9, 2015

Feb. 9, 2015

We are pleased to announce a workshop "Spatial computation: from neural circuits to robot navigation". The workshop will take place in the Informatics Forum in Edinburgh on April 11th from 9 am to 6 pm. This is the day immediately before start of the British Neuroscience meeting in Edinburgh. The workshop will address approaches to computations underlying navigation from the perspectives of neuroscience and robotics. A list of confirmed speakers and a link for registration are here: http://blog.inf.ed.ac.uk/spatialcomputationworkshop/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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2nd CFP - Special Session on Transfer Learning - International Work Conference on Artificial Neural Networks, 10-12 June, 2015
by Jorge M. Santos Feb. 9, 2015

Feb. 9, 2015

(Deadline Extension) Please consider to contribute to the Special Session on Transfer Learning International Work Conference on Artificial Neural Networks, 10-12 June, 2015 - http://iwann.ugr.es/2015 Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. The TL approach has gained significant interest in the Machine Learning (ML) community since it paves the way to devise intelligent learning models that can easily be tailored to many different domains of applicability. The following aspects have recently contributed to the emergence of TL: Generalization Theory: TL often produces algorithms with good generalization capability for different problems; Efficient TL algorithms: TL provides learning models that can be applied with far less computational effort than standard ML methods; Unlabeled data: TL can be advantageous since unlabeled data can have severe implications in some fields of research, such as in the biomedical field. Some examples of topics for this special session: Big Data with Deep Neural Networks; Generalization Bounds; Domain Adaptation or Covariate Shift; Algorithms for TL; New advancements in TL; Real-world applications. Deadline: 23 February 2015 Organizers Luís M. Silva, Dep. of Mathematics, University of Aveiro, Portugal - lmas(a)ua.pt Jorge M. Santos, Dep. of Mathematics, School of Engineering, Polytechnic of Porto, Portugal - jms(a)isep.ipp.pt

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PhD student position in the lab of Susanne Schreiber (Computational Neurophysiology), Berlin
by Margret Franke Feb. 9, 2015

Feb. 9, 2015

PhD student position in the lab of Susanne Schreiber (Computational Neurophysiology) in Berlin www.neuron-science.de We are currently looking for a motivated PhD student to join us in the exploration of computational properties of neurons. Our group is embedded in the Department of Biology at Humboldt-University Berlin and the Bernstein Center for Computational Neuroscience Berlin, located on the beautiful Campus Nord in the center of the city. We are particularly interested in how cell-intrinsic physiological processes affect neuronal computation in single neurons and networks. To this end we use theoretical approaches in combination with the analysis of experimental data (obtained by experimental collaborators in vertebrate and invertebrate systems). Many of our projects take the evolutionary perspective into account, with the aim to improve our understanding of how constraints, such as limited energetic resources or fluctuating environmental variables (like temperature), shaped the design of neuronal systems. The PhD project will involve biophysical modeling of neurons, intending to derive principles that generalize across multiple brain areas or nervous systems. The PhD student will be given the opportunity to cooperate with experimental groups in the Berlin area. Moreover, suitable candidates may participate in the structured PhD program "Sensory Computation in Neural Systems" (GRK 1589, https://www.bccn-berlin.de/Graduate+Programs/2_Doctoral+Program/) providing lively interactions with other research groups and students in the fields of computational neuroscience, systems neurobiology, and machine learning. A strong background in physics, biophysics, computational neuroscience, or computational biology is recommended. Moreover, candidates should have solid experience in programming (python or matlab to solve ODEs/SDEs), analytical skills, and a keen interest in neurophysiological questions. If interested, please send an email to Susanne Schreiber (email: s.schreiber :AT: hu-berlin.de) including a letter of motivation, a CV, and a copy of the current academic transcripts. Applications will be accepted until the position is filled. In order to apply for a scholarship in the structured PhD program, please contact us as soon as possible. The official deadline for this program is March 15th, 2015. -- Margret Franke Managing Director Bernstein Center for Computational Neuroscience Humboldt-Universität zu Berlin Unter den Linden 6 10099 Berlin phone: (030) 2093-9110 fax: (030) 2093-6771

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Kosice Neuroscience Workshop 20-24 April 2015
by Norbert Kopco Feb. 9, 2015

Feb. 9, 2015

SAVE THE DATE! The Second Workshop and Lecture Series on */"Cognitive neuroscience of auditory and cross-modal perception"/* 20 - 24 April 2015 Kosice, Slovakia http://pcl.upjs.sk/ Objectives: This workshop and lecture series will include introductory lectures and advanced research talks on a range of topics related to the */neural processes of auditory, visual and cross-modal perception/*. The talks will illustrate the */multidisciplinary character of cognitive neuroscience research/*, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. The workshop is aimed at */early-stage and advanced students and young researchers/*, and it will provide ample opportunities for direct interactions between the lecturers and the attendees. *Format* Lectures 20 - 22 April, Consultations 23 – 24 April *Venue* Historicka aula, P. J. Safarik University, Srobarova 2, 040 11 Kosice, Slovakia *Organizers* Norbert Kopco, PhD. (norbert.kopco(a)upjs.sk <mailto:norbert.kopco@upjs.sk>) Frederick Gallun, PhD. (Frederick.Gallun(a)va.gov <mailto:Frederick.Gallun@va.gov>) *Organizing team and contact* Beata Tomoriova, Lubos Hladek, Perception and Cognition Lab <http://pcl.upjs.sk>,**kogneuro(a)gmail.com <mailto:kogneuro@gmail.com> *Speakers (lecture topics TBA, see last year’s topics at *http://pcl.upjs.sk/workshop2014/*)* Simon Carlile (University of Sydney) Pierre Divenyi (Stanford University) Christopher Stecker (Vanderbilt University) Bernhard Laback (Austrian Academy of Sciences) Volker Hohmann (University of Oldenburg) Arash Yazdanbakhsh (Boston University) Aaron Seitz (University of California, Riverside) Frederick (Erick) Gallun (US Dept. of Veterans Affairs and Oregon Health & Science University) Istvan Winkler (Hungarian Academy of Science) Travel, accommodation, visitor information Attendees are kindly requested to make their own travel and accommodation arrangements. /Travel: /The Kosice Airport <http://www.airportkosice.sk/en/> (http://www.airportkosice.sk/en/) is served by Austrian Airlines <http://www.austrian.com/> (http://www.austrian.com/) and Czech Airlines <http://www.csa.cz> (http://www.csa.cz/) via Vienna, Prague, Bratislava, and by low-cost airline Wizzair <http://wizzair.com/en-GB/Search> (http://wizzair.com/en-GB/Search) from London Luton Airport. Alternatively you can fly to Budapest and take a 3.5-hr shuttle bus to Kosice, for example, using the cassoviaexpres <http://cassoviaexpres.sk/en/> (http://cassoviaexpres.sk/en/) shuttle bus. From Krakow you can take the 4-hr shuttle bus operated by Airtrans.sk <http://airtrans.sk/en/>. More information about how to get to Kosice (also by train or bus) can be found at http://www.visitkosice.eu/en/to-get-there/arriving-to-the-city . /Accommodation:/ There are several hotels close to workshop venue, for example Hotel Teledom <http://www.hotelteledom.sk>, Villa Regia <http://villaregia.sk/en/>, Doubletree by Hilton <http://doubletree3.hilton.com/en/hotels/slovak-republic/doubletree-by-hilto…>, Hotel Yasmin <http://www.hotel-yasmin.sk/>, Hotel Maraton <http://www.hotelmaraton.sk/> (for more hotel options please see http://www.booking.com, http://www.hotels.com, for hostels see: http://www.hostels.com, http://www.hostelworld.com) /Visitor information and current events:/ see http://www.visitkosice.eu/ , http://www.slovaktours.eu/, http://www.mickosice.sk/ <http://www.mickosice.sk/index.php?lang=eng>, http://slovakia.travel/ , or http://www.slovakia.com/ * Registration* The workshop is open to all interested students/scientists. Registration is free of charge but required (mostly for organizational reasons). In order to register, please send an email to kogneuro(a)gmail.com stating your name and affiliation, dates on which you are planning to attend. In case you would like to have a presentation please send us an abstract (up to 200 words) and an indication whether you prefer poster or oral presentation no later than April 10, 2015. -- doc. Norbert Kopco, Ph.D. Assoc Professor / Senior Researcher: Inst of Computer Sci, Faculty of Science, Safarik Univ, Kosice, Slovakia Adjunct: Ctr for Computational Neurosci (CompNet), Boston University & Martinos Ctr for Biomed Imaging, Harvard Med School - Mass Gen Hospital P: +16175759556 F: +14847279884, kopco(a)bu.edu, http://cns.bu.edu/~kopco

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Advanced Course in Computational Neuroscience 2015
by Máté Lengyel Feb. 8, 2015

Feb. 8, 2015

ADVANCED COURSE IN COMPUTATIONAL NEUROSCIENCE 9-29 August 2015, Champalimaud Centre for the Unknown, Lisbon, Portugal + pre-school 5-7 August 2015 http://www.accn.pt Applications deadline: 15 March 2015 DIRECTORS * Gilles Laurent (Max Plank Institute for Brain Research, Germany) * Máté Lengyel (University of Cambridge, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning will be devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students will work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. An optional three-day pre-school in mathematics and programming is available to students who want to catch up on or fine-tune their math and programming skills. Essential details: * Course size: 24 students maximum * Fee (which covers tuition, lodging, and meals): 2250 EUR (+ 245 EUR for optional pre-school) * Scholarships and travel stipends are available. * Application deadline: 15 March 2015 * Notification of results: April 2015 Information and application http://www.accn.pt Contact address: Tânia Li Chen <tania.chen(a)neuro.fchampalimaud.org> FACULTY * Nicolas Brunel (University of Chicago, USA) * Claudia Clopath (Imperial College London, UK) * Peter Dayan (Gatsby Computational Neuroscience, UCL, UK) * David Fitzpatrick (Max-Planck Florida Institute for Neuroscience, USA) * Boris Gutkin (École Normale Supérieure, France) * Michael Hausser (Wolfson Institute for Biomedical Research, UCL, UK) * Moritz Helmstaedter (MPI Brain Research, Germany) * Claus Hilgetag (University Medical Center Hamburg-Eppendorf, Germany) * Matthias Kaschube (Frankfurt Institute for Advanced studies, Germany) * Simon Laughlin (University of Cambridge, UK) * Gilles Laurent (MPI Brain Research, Germany) * Máté Lengyel (University of Cambridge, UK) * Jennifer Linden (Ear Institute, UCL, UK) * Christian Machens (Champalimaud Neuroscience Programme, Portugal) * Zachary Mainen (Champalimaud Neuroscience Programme, Portugal) * Tony Movshon (New York University, USA) * Michael Orger (Champalimaud Neuroscience Programme, Portugal) * Alexandre Pouget (University of Geneva, Switzerland) * Maneesh Sahani (Gatsby Computational Neuroscience, UCL, UK) * Eero Simoncelli (New York University, USA) * Daniel Wolpert (University of Cambridge, UK) -- Mate Lengyel, PhD Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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