December 2015 - Comp-neuro - lists.cnsorg.org

Postdoctoral fellowship in statistical neuroscience at Boston University
by Mark Kramer Dec. 20, 2015

Dec. 20, 2015

Postdoctoral fellowship in statistical neuroscience at Boston University A postdoctoral position is available for working in an NIH-funded BRAIN initiative project focused on understanding the computational principles and neural circuit mechanisms that underlie complex interactions across distributed circuits during brain function. The candidate will be responsible for developing data analysis and statistical modeling methods to characterize simultaneous LFP and spike train recordings from multiple brain regions during decision-making tasks. The successful candidate will have a strong background in statistics and computer programming; experience in interdisciplinary neuroscience research is preferred, although not essential. The position is based at Boston University in the labs of Uri Eden and Mark Kramer. The project is highly interdisciplinary and will involve frequent and extensive interactions with experimentalists at UCSF (Loren Frank) and Cold Spring Harbor (Adam Kepecs). Please contact Uri Eden or Mark Kramer (see links below) for more information. Boston University offers a vibrant community of statistical, mathematical, and neuroscience faculty and students, and many opportunities for collaboration within and outside the University. http://math.bu.edu/people/tzvi/ http://math.bu.edu/people/mak/

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[INNS-BigData 2016] Updated Call for Papers
by Teng Teck Hou Dec. 20, 2015

Dec. 20, 2015

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 2nd INNS Conference on Big Data 2016 October 23-25, 2016, Thessaloniki, Greece http://conferences.cwa.gr/inns-big-data2016/ ########################################################### Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can't easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. This type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used on stored big data. Neural network technologies thus can become significant components of big data analytics platforms and this inaugural INNS Conference on Big Data will begin that collaborative adventure with big data and other learning technologies. Thus the aim of this 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). #################### Important dates ##################### - Tutorial and workshops proposals: February 15th, 2016 - Notification of tutorial and workshops proposals: February 20th, 2016 - Paper submission: April 30th, 2016 - Notification of paper acceptance: May 30th, 2016 - Camera-ready submission (AISC): June 11th, 2016 - Early registration: June 20th, 2016 Registration deadline: papers without confirmed registration by June 24th 2016 risk their inclusion in the proceedings ########################################################## #################### Invited speakers #################### - Francesco Bonchi, ISI Foundation, Torino, Italy - Stephen Furber, University of Manchester, UK - Rudolf Kruse, OVG University of Magdeburg, Germany - Piotr Mirowski, Google Deep Mind, London, UK ########################################################## #################### Organizing committees ############### General Chairs - Plamen Angelov, Lancaster University, UK - Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece Program Chairs - Lazaros Iliadis, Democritus University of Thrace, Greece - Asim Roy, Arizona State University, Tempe USA - Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil Advisory Board - Nikola Kasabov, Auckland University of Technology, New Zealand - Ali Minai, University of Cincinnati, USA - Danil Prokhorov, Toyota Tech Center, Michigan, USA - Theodore Trafalis University of Oklahoma, USA - G. Kumar Venayagamoorthy, Clemson University, USA Tutorials/Workshop Chairs - Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece - Bernardete Ribeiro, Portugal Poster Session Chairs - Yi Lu Murphey, University of Michigan-Dearborn, USA Special Sessions Chairs - Irwin King, Chinese University of Hong Kong, China - Luca Oneto, University of Genoa, Italy Panel Chairs - Leonid Perlovsky, Harvard University, Boston, USA Awards Chair - Araceli Sanchis de Miguel, Carlos III University, Spain Competitions Chairs - Adel Alimi, University of Sfax, Tunisia Publication Chairs - Mariette Awad, American University of Beirut, Lebanon - Danilo Mandic, Imperial College, London, UK Publicity Chairs - Jose Antonio Iglesias Martinez, Carlos III University of Madrid, Spain - Simone Scardapane, The Sapienza University of Rome, Italy - Teck Hou Teng, Singapore Management University, Singapore International Liaison Chairs - Petia Georgieva, University of Aveiro, Portugal - De-Shuang Huang, Tongji University, Shanghai, China Local Organizing Committee: - Anastasios Gounaris, Aristotle University of Thessaloniki, Greece WebMaster - Yannis Karydis, Ionian University, Greece ########################################################## ############# Paper Submission and Publication ########### * Original works submitted as a regular paper limited to a maximum of 14 pages in Springer format will be published in the proceedings to be available electronically as a Springer book in ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Series, to download for delegates. * It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. * At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. ########################################################## #################### Awards ############################## * Best papers will be selected and awarded as follows: - Best regular paper - Best student paper * This will be based on a combination of reviewers' comments, presentations and importance and quality judged by a panel. * Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be commemorated by a certificate. ########################################################## ###### 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 * 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 ########################################################## #################### Co-Sponsors ######################### * International Neural Network Society (INNS) * Springer ##########################################################

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CFP: VECPAR 2016 - High Performance Computing for Computational Science
by Carlos Ferreira Dec. 18, 2015

Dec. 18, 2015

------------------------------------------------------------------------------------------ CALL FOR PAPERS 12th International Meeting on High-Performance Computing for Computational Science (VECPAR 2016) University of Porto, Porto, Portugal June 27 - 30, 2016 http://vecpar.fe.up.pt/2016/ ------------------------------------------------------------------------------------------- IMPORTANT DATES: Deadline for submission: January 15th, 2016 notification of acceptance: March 3rd, 2016 camera ready version: April 25th, 2016, on easychair.org. The International Meeting on High Performance Computing for Computational Science (VECPAR) is the premier venue for presenting and discussing the latest research and practice in high end computer modeling and complex systems. VECPAR encourages submission of research contributions from academia, research laboratories and industry to address pressing issues in computational science resulting from applications of interest to society and hardware innovations. VECPAR'16, the 12th edition of the VECPAR series of conferences is organized by the University of Porto, Portugal, and will be held at the Department of Computer Science, School of Sciences. An award is planned for best student papers. Contributions are solicited in all areas of computational science and engineering (CS&E), including (but not limited to) the following topics: * Large scale Simulations in CS&E * Parallel and Distributed Computing * Parallel Algorithms * Numerical Algorithms on Multicore, GPUs and Emerging Architectures * Symbolic algorithms on Multicore, GPUs and Emerging Architectures * Support Tools and Environments * Scheduling and Load Balancing * Performance Analysis, Evaluation and Tuning You should make your submissions through EasyChair at: https://www.easychair.org/conferences/?conf=vecpar2016 Submitted papers must be formatted according to the rules of the Springer Series Lecture Notes in Computer Science (LNCS): http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Please note that papers (for conference presentation) must not exceed 8 pages in length, using the LNCS format. Accepted papers will be distributed in electronic format to participants of VECPAR'16. Printed versions of the invited talks and a set of selected papers will be published by Springer in the series entitled Lecture Notes in Computer Science. Selected papers will be limited to 14 pages and will be judged based on relevance, significance, originality, correctness and clarity. More information about this process will be sent to interested authors after the conference. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt<http://www.isep.ipp.pt>

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[Call for applications] *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; 6 PhD scholarships; deadline March 15, 2016
by Robert Martin Dec. 18, 2015

Dec. 18, 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, 2016* Begin of courses: October 2016 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *6 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/) 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_ ... ... come and visit us on our *information day* on January 27, 2016, at 3 PM (sharp) at the BCCN Berlin: https://www.bccn-berlin.de/Calendar/Events/event/?contentId=3822 ... or browse: 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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CFP on "Computationally Intelligent Methods in Neural Information Processing" at the IEEE WCCI2016.
by Mufti Mahmud Dec. 17, 2015

Dec. 17, 2015

Sorry for cross-posting. Please consider circulating and contributing to the session. Thanks and regards, Mufti *Call for Paper for Special Session on * *Computationally Intelligent Methods in Neural Information Processing* *at the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2016* Organized by: Mufti Mahmud 1-4, €, Amir Hussain 4, 5, £ 1*NeuroChip Lab, University of Padova, 35131 – Padova, Italy, *2*Institute of Information Technology, Jahangirnagar University, 1342 – Dhaka, Bangladesh, *3*Theoretical Neurobiology & Neuroengineering Lab, University of Antwerp, 2610 – Wilrijk, Belgium, *4*COSIPRA Lab, University of Stirling, FK9 4LA – Stirling, UK, *5*Anhui University, Hefei, Anhui, 230601 - China* €*Email: muftimahmud(a)gmail.com <muftimahmud(a)gmail.com>, *£*Email: ahu(a)cs.stir.ac.uk <ahu(a)cs.stir.ac.uk>* *Introduction:* The brain, being the most complex organ in human body, is specialized to process information simultaneously coming from many different sources. The neurons work as basic information processing units in the brain and interconnect to each other to form hierarchical and/or parallel pathways. These pathways are mainly involved in transforming information originated from one or more sources into either action (as in motor movements) or specialized information understood by the brain itself (as in cognitive functions). To have a detailed and better understanding of these biological phenomena two approaches have been practiced by the research community – experimental and theoretical studies. Also, some theoretical studies are inspired by the nature itself which reframes earlier computational techniques to suggest research on biophysical basis of brain research and its information processing capabilities. Needless to say that most of these studies are results of interdisciplinary research involving medical sciences, life sciences, physical sciences, engineering, and cognitive sciences. *Scope:* The focus of this special session is to address the recent advances in computationally intelligent techniques in processing neural information. Developing intelligent methods capable of deciphering brain’s information processing capability is one the biggest challenges in brain research. The objective of this special session is to provide updated information and a forum for the scientists and researchers who are looking for more relevant information in decoding brain functions using expert and computationally intelligent systems. This special session is expected to attract papers on recent research progress in the area of intelligent methods in processing neural signals. The targeted research topics are, but not limited to, the following: Ø Computationally intelligent tools for analysis of Spikes, LFP, EEG, MEG, MRI/fMRI, PET, and fNIRS; Ø Computationally intelligent methods for modeling and estimating neural signals; Ø Computational intelligence in developing smart BMI and neural prosthesis; Ø Biologically inspired methods for pattern analysis in neuronal signals; Ø Machine learning methods applied to brain research; *Submission of papers:* Submit IEEE US Letter complaint pdf papers to IEEE CEC 2016, following the steps below: Ø Visit http://ieee-cis.org/conferences/cec2016/upload.php Ø Provide paper details (i.e., Paper Title, Author(s), PDF file to upload, Abstract, Preferred form of presentation, Main paper focus) Ø At '*Main research topic*' or '*Additional research topics'*, select '*8bc. Computationally Intelligent Methods in Neural Information Processing*' from the dropdown list. *Important dates:* Ø Paper submission deadline: *15 January 2016* Ø Decision notification: *15 March 2016* Ø Final paper submission and early registration deadline: *15 April 2016* Ø Conference dates: *25-29 July 2016*. -- Mufti Mahmud, PhD Postdoctoral Research Fellow NeuroChip Lab <http://www.vassanellilab.eu/> - Dept. of Biomedical Sciences <http://www.biomed.unipd.it/?L=1> University of Padova Via f. Marzolo 3 35131 - Padova, Italy Lab: +39 049 827 5308 Fax: +39 049 827 5301 https://sites.google.com/site/muftimahmud/ & Assistant Professor (on leave) Institute of Information Technology Jahangirnagar University Savar, 1342 - Dhaka, Bangladesh

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Fwd: EANN 2016 CFP Scotland
by Chrisina Jayne Dec. 17, 2015

Dec. 17, 2015

Dear Colleague, The 17th International Conference on Engineering Applications of Neural Networks will take place in Aberdeen, Scotland, between *2nd-5th September 2016* (EANN 2016 – http://www.eann.org.uk/eann2016/index.php) The INNS (International Neural Network Society) is the primary sponsor of EANN. Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere. The proceedings of the conference will be published in *Springer CCIS Series*. Extended contributions will also be considered for publication in a *Special Issue of Neural Computing and Applications Journal (Springer)*. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory. All application areas are relevant. Novel contributions related to deep learning and application of neural networks to data science applications are encouraged. The deadline for paper submission is *20th April 2016*. Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panellists who have made a commitment to participate. A mix of industry and academic panel members is recommended. Proposals for 90-minute tutorials are also invited on topics within the conference area. Tutorial proposals must be at most 5 pages, they must identify the intendedaudience, and they must give enough material to provide a sense of what will be covered. Full CFP is available at http://www.eann.org.uk/eann2016/cfp.php Important deadlines are available at http://www.eann.org.uk/eann2016/timeline.php If you have any questions please email Chrisina Jayne at ( c.p.jayne(a)rgu.ac.uk) Best wishes, Prof Chrisina Jayne and Prof Lazaros Iliadis Programme Chairs for EANN2016

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4 faculty positions: Centre for Cognitive Science at Technische Universitaet Darmstadt
by Constantin Rothkopf Dec. 17, 2015

Dec. 17, 2015

Technische Universität Darmstadt is establishing a Centre for Cognitive Science and invites applications for 4 tenured professorships. The Centre’s research programme will be based on computational and engineering approaches to Cognitive Science, with strong interactions with the engineering departments. Research methodologies will include, but are not limited to, theoretical studies, human experimental work, cognitive engineering applications, the use of big data, and ubiquitous sensing. The professorships are to be filled in the Department of Human Sciences (Institutes of Psychology and of Sports Science) and in the Department of Computer Science, and will complement and interact with the existing research activities in Cognitive science at Technische Universität Darmstadt. The four positions are to be filled in the following areas: 1) One professorship (W2/W3) in the Institute of Sports Sciences in the area Sensorimotor Control & Learning 2) two professorships (W2/W3) in the Institute of Psychology in the areas Perception, Decision Making & Preference or Models of Higher Cognition (e.g. reasoning, natural language, learning and memory), 3) and one professorship (W3) in the Department of Computer Science in the areas Machine Learning or Biosignal Processing (e.g. prosthetics, brain-computer interface). Successful appointees are expected to contribute to teaching in the study programme for cognitive science, which is currently being developed, and to the undergraduate and graduate level courses of their respective departments. The positions are tenured with a remuneration package commensurate with experience and qualifications, following the German "W-Besoldung". The regulations for employment are specified under §§ 61 and 62 HHG (Hessisches Hochschulgesetz). The Technische Universität Darmstadt intends to increase the number of female faculty members and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. The Technische Universität Darmstadt is certified as a familiy-friendly university and offers a dual career program. Applications should include a curriculum vitae, list of publications, copies of relevant diplomas, as well as a research and teaching statement, preferably all in a single PDF file. Applications for the positions in the Institute of Sport Science and the Institute of Psychology should be directed to the Dean of the Department of Human Sciences, Professor Frank Hänsel (dekanat(a)humanw.tu-darmstadt.de) applications for the position in Computer Science should be directed to the Dean of the Department of Computer Science, Professor Reiner Hähnle (dekanat(a)informatik.tu-darmstadt.de) It is possible to apply for several of the positions. Please include the code number of the position(s) you apply for. Informal enquiries may be addressed to Professor Constantin Rothkopf (Tel +49 6151 16-76084; rothkopf(a)psychologie.tu-darmstadt.de) or Professor Jan Peters (Tel +49-6151-16-7351; peters(a)ias.tu-darmstadt.de) For further information please also visit www.cogsci.tu-darmstadt.de. Code No. 489 (Sensorimotor Control) Code No. 490 (Perception, Decision Making & Preference, Models of Higher Cognition) Code No. 491 (Machine Learning, Biosignal Processing) Application deadline: January 31, 2016 -- Constantin A. Rothkopf, PhD Technical University Darmstadt & FIAS phone: +49 6151 16-76084 http://www.pip.tu-darmstadt.de/ mailto:rothkopf@psychologie.tu-darmstadt.de

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PhD position in computational neuroscience. 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'. Bournemouth & Barcelona Universities
by Emili Balaguer-Ballester Dec. 17, 2015

Dec. 17, 2015

PhD position in computational neuroscience. "Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions? Bournemouth University-IDIBAPS". A PhD position is available in 3-years fully-funded project "Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions"; based at Bournemouth University (UK) https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-re… and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.htm, University of Barcelona, Spain). Do we have analysis tools for a reliable identification of the dynamical processes underlying decision-making? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, to reconstruct in detail neural dynamics generating cognitive decisions is a major challenge for current methodologies. This would be a highly significant advance; for instance the identification of stable dynamical patterns of activity in hippocampus deserved to win the last Nobel Prize. The aim of the project is to develop innovative approaches designed for the identification of metastable dynamics underlying cognitive decisions. We aim for the fusion of statistical learning approaches to pattern discovery with methods for identifying neural attractor dynamics and neurocomputational modelling. The novel approach will reconstruct neural dynamics during tasks specifically designed at Sanchez-Vives Lab in rodents and in human subjects at the Bournemouth EEG lab. The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-re… and at the cortical networks lab; embedded in the renowned systems neuroscience network in Barcelona http://www.sanchez-vives.org/. Applicants holding a degree in Physics, Mathematics, Engineering, Computer Science or similar disciplines are welcome. Interest or previous training in neuroscience or laboratory experience and a strong mathematical or machine learning background would be very welcome. The researcher will be based at the Faculty of Science, Bournemouth University, and work with Dr Balaguer-Ballester at the Computational Neuroscience laboratory in the context of the interdisciplinary group for neurosciences; and will spend prolonged periods of time in the Cortical Networks Lab (IDIBAPS, Barcelona) led by Prof. Maria Victoria Sanchez-Vives; providing an outstanding opportunity to gain a diverse experience of both neuro-computational and experimental approaches. For formally applying and more information please visit https://research.bournemouth.ac.uk/pgr/funded-phd-studentships-in-the-facul… Please Cc your application to eb-ballester(a)bournemouth.ac.uk For further details please do not hesitate to contact me any time: eb-ballester(a)bournemouth.ac.uk: Twitter: @emilibalball; http://dec.bournemouth.ac.uk/staff/ebb/ Kind regards, Emili BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

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Workshop "modeling the early visual system" in Paris, January 19-20th
by Olivier Marre Dec. 17, 2015

Dec. 17, 2015

INTRODUCTION Do we know what the early visual system does? This question was the topic of a workshop at the SFN meeting ten years ago. Over the last decade, there has been tremendous progress in understanding the computations performed in the visual system, and how they are implemented by the neural circuitry. The purpose of this workshop is to gather both theoreticians and experimentalists in the field to take stock and debate about the current challenges when trying to understand the computations performed by the early visual system, and how they result from both bottom-up and top-down processes. CONFIRMED SPEAKERS Philipp Berens, University of Tuebingen, Germany Laura Busse, University of Tuebingen, Germany Matteo Carandini, UCL, UK Frédéric Chavane, INT, Marseille, France Karl Farrow, NERF, Belgium Yves Frégnac, UNIC laboratory, CNRS, Gif sur Yvette, France Charles Gilbert, Rockefeller University, New York, USA Tim Gollisch, University of Gottingen, Germany Peter Neri, Ecole Normale Supérieure, Paris, France Elad Schneidman, Weizman Institute of Science, Israel Andreas Tolias, Baylor College of Medicine, Austin, USA Shimon Ullman, Weizman Institute of Science, Israel REGISTRATION This workshop will take place in the European Institute for Theoretical Neuroscience ( http://www.eitn.eu/ ), Paris, January 19th and 20th. Registration is free but mandatory. We have a few slots for posters that will be presented during the meeting. If you are interested in presenting a poster. For registration and/or abstract submission, please refer to the workshop website: http://eitnconf-190116.sciencesconf.org/ On behalf of the organizing committee, Olivier Marre Institut de la Vision F-75012 Paris

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International Conference on Mathematical Neuroscience (ICMNS) 2016
by Zachary Kilpatrick Dec. 17, 2015

Dec. 17, 2015

We would like to remind you about… The 2nd International Conference on Mathematical Neuroscience (ICMNS 2016) at the Congress Center in Juan-les-Pins on the French Riviera May 29 to June 1, 2016 Tutorials: May 29 Main Conference: May 30 - June 1 https://icmns2016.inria.fr/ <https://icmns2016.inria.fr/> One page abstracts will be reviewed by a Program Committee and divided into three categories: featured talks, session talks, and posters. https://icmns2016.inria.fr/call-for-contributions/ <https://icmns2016.inria.fr/call-for-contributions/> The abstract submission deadline is January 7, 2016. Meeting registration will open shortly thereafter. Questions should be directed to the conference email: icmns2016-contact(a)inria.fr <mailto:icmns2016-contact@inria.fr> CONFIRMED SPEAKERS Wulfram Gerstner (École polytechnique fédérale de Lausanne) John Rinzel (New York University) Antoine Triller (École Normale Supérieure de Paris) Rachel Kuske (U British Columbia) Jonathan Rubin (U Pittsburgh) Hinke Osinga (U Aukland) Carina Curto (Penn State University) Ruben Moreno-Bote (Foundation Sant Joan de Deu) Hiroya Nakao (Tokyo Institute of Technology) Eric Shea-Brown (U Washington) Si Wu (Beijing Normal University) Alex Roxin (Centre de Recerca Matematica) PROGRAM COMMITTEE Toni Guillamon (Universitat Politècnica de Catalunya) Roland Potthast (U Reading) Gregory Faye (Université Paul Sabatier ) Wilhelm Stannat (TU Berlin) Jonathan Touboul (College de France) Gilles Wainrib (Ecole Normale Supérieure) Suzanne Ditlevsen (University of Copenhagen) Boris Gutkin (Ecole Normale Supérieure) Martin Wechselberger (U Sydney) Jonathan Rubin (U Pittsburgh) Martin Krupa (INRIA Sophia Antipoilis) Carlo Laing (Massey University) Andre Longtin (U Ottawa) Daniele Avitabile (U Nottingham) Jose Carrillo (Imperial College) Pascal Chossat (Université Nice Sophia Antipolis) Carson Chow (National Institutes of Health) Steve Zucker (Yale University) Eric Shea-Brown (U Washington) Rachel Kuske (U British Columbia) Laura Sacerdote (Universita di Torino) Reinhard Hopfner (Johannes-Gutenberg Universitat) Olivier Faugeras (INRIA - Sophia Antipolis) Paul Bressloff (U Utah) Steve Coombes (U Nottingham) CONFERENCE CHAIRS Romain Veltz (INRIA - Sophia Anitpolis) Zachary Kilpatrick (U Houston) Evelyn Buckwar (Johannes Kepler Universitat Linz) We hope to see you in Juan-les-Pins! All the best Romain, Zack, and Evelyn

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NeuronUnit/NeuroML & Modeling Postdoctoral Research Position at ASU
by Sharon Crook Dec. 16, 2015

Dec. 16, 2015

ARIZONA STATE UNIVERSITY An Equal Opportunity/Affirmative Action Employer Postdoctoral position in Computational Neuroscience and Neuroinformatics (Job #11446) We are soliciting applications for a postdoctoral position in the Laboratory for Informatics and Computation in Open Neuroscience at Arizona State University. This laboratory, jointly supervised by Dr. Sharon Crook and Dr. Rick Gerkin, focuses on developing resources for the community for describing, validating and sharing computational models in neuroscience. In addition, lab personnel conduct empirical and modeling studies in order to investigate fundamental questions in neuroscience. The successful candidate will contribute to the development and use of tool chains for model validation and model exchange that revolve around NeuronUnit and NeuroML. The postdoctoral researcher also will have the opportunity to choose the direction of their own modeling studies. Applicants must provide evidence of excellence in sustainable software development, experience in applications in neuroscience, and should also be highly independent, with a strong propensity for interdisciplinary research. Candidates must hold a PhD in neuroscience, computer science, applied mathematics, computational neuroscience or a related discipline by time of appointment and be highly motivated and creative. Experience with some combination of Python, XML, MySQL, Ruby on Rails, and NEURON is desirable. Named the #1 Most Innovative University in the US, Arizona State University offers an exciting research environment in a unique setting. ASU is located in Tempe, Arizona, which offers many rich cultural and outdoor opportunities with access to mountains and canyons visited by people from around the world. All applications must be submitted online through mathjobs at https://www.mathjobs.org/jobs/jobs/8375 and must include the following: 1) A detailed CV 2) Two recommendation letters 3) A statement of research interest Any questions should be sent by email to Dr. Sharon Crook (sharon.crook(a)asu.edu) and Dr. Rick Gerkin (rgerkin(a)asu.edu) Initial review of applications will begin January 15, 2016; if not filled, applications will be reviewed every two weeks thereafter until the search is closed. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, religion, national origin, protected veteran status, or any other basis protected by law. https://www.asu.edu/aad/manuals/acd/acd401.html https://www.asu.edu/titleIX/.

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Three PhD projects in modelling brain diseases and brain development at Newcastle University
by Marcus Kaiser Dec. 16, 2015

Dec. 16, 2015

Dear all, we are currently advertising the following three 4-year PhD positions for our lab with application deadlines early next year. The funding covers living expenses and UK/EU fees over four years and, using overseas research studentships, potentially also the higher fees for non-EU applicants. Students are chosen in competition with students who choose projects in other fields, which means that we would particularly encourage strong applicants with very good academic marks and previous research experience to apply. Please follow the links below for more information. *Newcastle-DTA PhD studentships* (1) Building brains: Which developmental pathways lead to better performance in information processing? <http://www.ncl.ac.uk/sage/study/postgrad/dta/documents/2016-Kaiser-122.pdf> (School: Computing Science Ref: DTA122) Within this project, a student will help to develop detailed simulations of brain network development. In addition, the student will test the performance of the grown networks on visual tasks. Through this, we will investigate (a) how developmental mechanisms are linked to the resulting topology and (b) how the resulting network is linked to processing performance. As a result, we will get a better understanding how changes during development are linked to brain architecture and how they can lead to cognitive deficits. Supervisors: Prof. Marcus Kaiser, Dr Gavin Clowry, and Dr Roman Bauer (2) Predicting patient outcomes following traumatic brain injury <http://www.ncl.ac.uk/sage/study/postgrad/dta/documents/2016-Kaiser-123.pdf> (School: Computing Science Ref: DTA123) In this study we will investigate the impact of simulated brain lesions using human brain connectivity data and computer simulations. We shall aim to produce biomarkers for patient outcomes. These techniques may hive wider applications in stroke, multiple sclerosis and ageing. Supervisors: Prof. Marcus Kaiser and Dr Peter Taylor Please *apply by 22 January* at http://www.ncl.ac.uk/sage/study/postgrad/dta/ *Newcastle-Singapore PhD studentships* (3) Improving surgery in focal epilepsy using computational modelling <http://www.ncl.ac.uk/sage/study/postgrad/singapore/documents/Improvingsurge…>(School: Computing Science Ref: NSS12) In this project we shall attempt to predict which patients will be seizure free after surgery. For those patients predicted to be not seizure free we shall suggest alternative strategies for surgery. See also our recent article in PLOS CB: http://www.ploscompbiol.org/article/metrics/info%3Adoi%2F10.1371%2Fjournal.… Supervisors: Dr. Peter Taylor, Prof. Marcus Kaiser, and Asst. Prof. Justin Dauwels (NTU, Singapore). The student will be based at Newcastle but also visit Singapore Please *apply by 26 February* at http://www.ncl.ac.uk/sage/study/postgrad/singapore/ *Research Environment* There are currently 12 faculty members with a link to neuroinformatics and computational neuroscience. Using computational models for clinical applications is a strong interest of our group (see http://neuroinformatics.ncl.ac.uk/ for an overview). Students will be based in the School of Computing Science, which was ranked #9 for research and #1 for impact in the recent UK Research Excellence Framework evaluation, as part of the ICOS Group (http://ico2s.org/ ). They will also be affiliated with the Institute of Neuroscience which integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering and which was ranked #9 overall and #5 for impact in the UK ( http://www.ncl.ac.uk/ion/) Newcastle University, with 20,000 students, lies in the city of Newcastle-upon-Tyne -- an area in the North-East of England with around one million inhabitants. The university is at the centre of Newcastle which itself is on the main train-line between London and Edinburgh, 20 minutes away from both the airport and the sand beach by public transport ( http://www.ncl.ac.uk/about/visit/city/ ). We also offer a one-year master programme in Computational Neuroscience and Neuroinformatics (http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ ) which is now accepting applications.

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DENDRITES 2016, June 18-21, Crete: CALL FOR ABSTRACTS
by Yiota Poirazi Dec. 16, 2015

Dec. 16, 2015

Please distribute to potentially interested parties and email lists. Many thanks! Looking forward to welcoming you in Crete! On behalf of the organizing committee, Yiota Poirazi ------------------------------------------------------- EMBO Workshop on Dendritic Anatomy, Molecules and Function (DENDRITES 2016) Heraklion, Crete, Greece June 18-21, 2016 http://dendrites2016.gr/ <http://www.dendrites2016.gr/> * * * * * *CALL FOR ABSTRACTS* * * * * * Abstract submission for poster and oral presentation is open until *February 15, 2016* This EMBO Workshop brings together scientific leaders to present their research on dendrites, at the molecular, anatomical and biophysical level. Apart from scientific talks from top experts in the field, the meeting includes a full day dedicated to Career Issues in academia. This session features talks from the current President of FENS as well as young Neuroscientists from theFENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/> that are dealing with such issues. _Invited speakers (scientific talks): _ Claudia Clopath Daniel Dombeck Casper Hoogenraad Arthur Konnerth Attila Losonczy Judit Makara Rishikesh Narayanan Elly Nedivi Jackie Schiller Erin Schuman Idan Segev Nelson Spruston Greg Stuart _Invited speakers (Career Issues in academia):_ Monica Di Luca, FENS President: "Publication issues: right time for a reality check" Camilla Belone, FENS-Kavli Scholar: "Retention of women in high levels of neuroscienceÂ - Perspectives" Emre Yaksi, FENS-Kavli Scholar: "Funding opportunities in Neuroscience: how to write a successful grant proposal" CALL FOR ABSTRACTS We are soliciting abstracts for oral and poster presentations. We welcome both experimental and theoretical contributions addressing novel findings, methods or databases related to dendrites that fall into one or more of the following domains: * morphological and functional characterizations, * dendritic integration and compartmentalization, * dendritic channel distribution and their functional implications, * molecular pathways and signaling networks, * RNA trafficking and local protein synthesis, * functional or structural plasticity and homeostasis, * the role of dendrites in complex processes, including learning/memory, neural computations etc. Please note that places are limited and subject to availability. Attendees are highly encouraged to submit abstracts for presentations, since presenters will be given priority for registration. Instructions for on-line submission can be found at http://www.dendrites2016.gr/call-for-papers *Important dates * * Abstract submission opens: December 15th, 2016 * Abstract submission closes: February 15th, 2016 * Notification of abstract acceptance: February 29th, 2016 * Notification of oral/poster presentation: early March 2016 _Organizing committee:_ Yiota Poirazi, IMBB-FORTH Michael Hausser, UCL * * Matthew Larkum, Humboldt University IMPORTANT NOTE: The Workshop takes place on the island of Crete and is followed by the AREADNE 2016 meeting <http://areadne.org/> (June 22-26th, 2016), focusing on Research in Encoding And Decoding of Neural Ensembles, on the neighboring island of Sandorini. DENDRITES 2016 participants are encouraged to consider attending both meetings. FOR FURTHER INFORMATION Please see the conference web site http://dendrites2016.gr/ <http://www.dendrites2016.gr/> or send an email to info(a)dendrites2016.gr <mailto:info@dendrites.gr> -- Panayiota Poirazi, Ph.D. Director of Research Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385 GR 711 10 Heraklion, Crete, GREECE Tel: +30 2810 391139 <tel:+30%202810%20391139> Fax: +30 2810 391101 <tel:+30%202810%20391101> Εmail: poirazi(a)imbb.forth.gr <mailto:poirazi@imbb.forth.gr> http://www.dendrites.gr Chair http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/

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Postdoctoral fellowships in computational neuroscience at the University of Washington
by Adrienne Fairhall Dec. 16, 2015

Dec. 16, 2015

We invite applications for the Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering at the University of Washington in Seattle. These fellowships are offered as part of the UW Institute for Neuroengineering, which aims to stimulate research excellence in the development of novel approaches to the understanding and manipulation of brain function. These highly selective fellowships fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines (CS, engineering, mathematics, biology) is strongly encouraged. The fellowships provide two years of funding including a $65,000 annual salary and a $25,000 research stipend. Applications are due by January 15, 2016. Please see http://uwin.washington.edu/post-docs/ for more information.

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postdoc position with BRAIN project at Emory University
by Jaeger, Dieter Dec. 15, 2015

Dec. 15, 2015

A postdoctoral position is available for working in an NIH funded Obama BRAIN initiative project on the role of the basal ganglia in motor decision making in behaving mice (https://projectreporter.nih.gov/project_info_description.cfm?icde=0&aid=901…) The project aims to elucidate how subcortical structures feed back onto and influence cortical processing. The position will involve multisite recording and optogenetics in behaving mice in the Jaeger lab at Emory University, which provides a strong training environment in computational and systems neuroscience in collaboration with the Georgia Institute of Technology. The successful candidate needs previous electrophysiological experience and strong data analysis skills using Matlab or Python. A PhD in Biomedical Engineering or Neuroscience is preferred. If interested & qualified, please contact djaeger(a)emory.edu. Dieter Jaeger, PhD Professor Department of Biology, Emory University 1510 Clifton Rd., Atlanta, GA 30322 404 727 8139, e-mail: djaeger(a)emory.edu<mailto:djaeger@emory.edu> http://www.biology.emory.edu/research/Jaeger ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Postdoc in Computational Neuroscience/ Robotics
by Sen Cheng Dec. 15, 2015

Dec. 15, 2015

A postdoctoral position in computational neuroscience/ robotics is available immediately in the research unit of Prof. Sen Cheng in the Institute for Neural Computing at the Ruhr University Bochum in Germany. For further information see www.rub.de/cns. The postdoc will study spatial navigation and learning in robots using biologically realistic algorithms. The focus will be on understanding the neural mechanisms underlying spatial navigation and learning in mammals, in particular, the role of the hippocampus in these processes. The salary will be on the standard German pay scale of TV-L E13. The full-time position is available immediately for two years with the possibility of extension. Limited teaching in computational neuroscience and/ or robotics is required. Candidates should have a doctoral degree in neuroscience, robotics, computer science, physics, or a related field. Competence in mathematical modeling, and excellent programming skills are mandatory. Familiarity with robotics and computational neuroscience would be a further asset. To apply please send a statement of your motivation and research interests, academic transcripts, and a complete CV to sen.cheng(a)rub.de in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. --- Prof. Dr. Sen Cheng Ruhr-University Bochum Mercator Research Group "Structure of Memory" Universitaetsstr. 150 44801 Bochum Germany office: GA 04/48 | +49-234- 32 27136 | FAX: +49-234- 32 07136 sen.cheng(a)rub.de | http://www.rub.de/cns

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BRAIN Initiative post-doctoral position
by Joshua Gold Dec. 14, 2015

Dec. 14, 2015

The Gold lab (http://www.med.upenn.edu/goldlab <http://www.med.upenn.edu/goldlab>) at the University of Pennsylvania is looking for an energetic and talented post-doc to participate in a funded BRAIN Initiative grant studying neural mechanisms of individual differences in learning and decision-making (http://www.nsf.gov/news/news_summ.jsp?cntn_id=135926 <http://www.nsf.gov/awardsearch/showAward?AWD_ID=1533623>). The work will combine psychophysics, single-unit electrophysiology, and computational modeling. A strong background in systems neuroscience is preferred. Anyone interested should contact Joshua Gold directly via e-mail (jigold(a)mail.med.upenn.edu <mailto:jigold@mail.med.upenn.edu>). Please include a CV and cover letter stating your research experience and reasons for applying to this position. Also please be prepared to provide contact information for up to three references upon request. Penn has a rich and interactive environment for both systems and computational neuroscience, with journal clubs, lab meetings, retreats, and other joint activities, many of which are organized by our new Computational Neuroscience Initiative (CNI: http://cni.upenn.edu <http://cni.upenn.edu/>). We also value diversity and seek talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu <http://jobs.hr.upenn.edu/>).

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Telluride Neuromorphic Cognition Engineering Workshop 2016: Call for Topics
by Ralph Etienne-Cummings Dec. 14, 2015

Dec. 14, 2015

Call for Topic Area Proposals 2016 Neuromorphic Cognition Engineering Workshop *Telluride, Colorado, June 26 –July 16, 2016* *DEADLINE: January 8th, 2016* We are now accepting proposals for Topic Areas in the 2016 Telluride Neuromorphic Cognition Engineering Workshop. We support topics and projects in neuromorphic cognition, particularly those that involve solving challenging ‘everyday’ tasks that incorporate domain-specific knowledge, exploration, prediction, and problem solving. In particular, we are interested in projects that hold promise for addressing Grand Challenge types of problems that do not have strong solutions of any form, neuromorphic or not. These Challenge problems should feature long-duration sensorimotor problems that involve autonomous cognitive decision making. Examples might include tasks such as learning a new language, navigating through an unknown environment to locate an object or reach a desired location, visual and auditory understanding of human actions, adaptively manipulating unknown or complex objects in the service of a task, playing a game requiring inference of hidden information or long-term planning and learning, etc. Proposals related to hardware technologies that aim to bring these capabilities to reality are also encouraged. Topic proposals that aim to solve a particular problem using the multidisciplinary experience of participants will be favored over topics that simply gather a large number of people working within a discipline, or using a single technology, or approach. Topic areas for this summer's Telluride Neuromorphic Cognition Engineering Workshop <http://ine-web.org/> will be chosen from proposals submitted to the organizers. *Topic areas can span a large field; we are looking for leadership in planning activities and inviting good people in a field.* Although past topic areas have tended to be very broad and discipline-oriented (e.g., cognition, audition, vision, robotics, neural interfacing, neuromorphic VLSI, etc.), application-oriented topic areas (e.g., sensor fusion, game-playing robot, object recognition, sound localization, human robot interaction, etc.) are especially desirable. *Topic area leaders will receive housing for themselves and their invitees, and limited travel funds.* Topic area leaders will help to define the field of neuromorphic cognition engineering through the projects they pursue and the people they invite. They shape their topic by inviting speakers and project leaders (the *invitees*) and by initiating topic area project discussions prior to the workshop. Teams of two organizers are required. One of the organizers should be an attendee of a previous Telluride Workshop (in any capacity) and has stayed at the Workshop for at least one week. *Pre-workshop topic area choices and study assignments.* Before the workshop begins, each topic area will be required to prepare and distribute study materials that constitute: 1) an introductory presentation (e.g., pptx, video, review paper) of the fundamental knowledge associated with the topic area that *everyone at the workshop* should be exposed to, and 2) a few critical papers that the participants in the topic area should read before the workshop. The topic area should 3) begin a serious group discussion of the projects (e.g., via Facebook, Skype, email, etc). *The maximum 2-page proposals should include:* 1. Title of topic area. 2. Names of the two topic leaders, their affiliations, and contact information (email addresses). 3. A paragraph explaining the focus and goals of the topic area. 4. A list of possible specific topic area projects. 5. A list of example invitees (up to six names and institutions). No commitments necessary. 6. Any other material that fits within the two-page limit that will help us make a smart choice. *Send your topic area proposal* in pdf or text format to organizers13(a)neuromorphs.net <organizers12(a)neuromorphs.net> with subject line containing "topic area proposal". *Proposals must be received by January 8, 2016*; proposals received after the deadline may still be considered if space is available. *We expect to accept 4-5 topic areas*, each with 5 invitees*.* If your proposal for the topic area is not accepted, we will work with you to see if there is a natural way to include your ideas (and you) into the accepted topic areas. We hope to have significant turn-over each year in the topic areas and leaders to ensure fresh new ideas and participants. See the Institute of Neuromorphic Engineering (www.ine-web.org) for background information on the workshop and neuromorphs.net <https://neuromorphs.net/ws2009/wiki/PastWorkshops> for past workshop wikis. We look forward to your topic proposals! *Deadline: January 8, 2016* *The Workshop Directors:* Cornelia Fermüller <http://www.cfar.umd.edu/~fer/> (University of Maryland), Ralph Etienne-Cummings <http://etienne.ece.jhu.edu/people/ralph/index.html> (Johns Hopkins Univ.) Shih-Chii Liu <https://www.ini.uzh.ch/~shih/> (University of Zurich and ETH Zurich), Timmer Horiuchi <https://www.isr.umd.edu/faculty/horiuchi> (University of Maryland), Katalin Gotthard <http://physiological-sciences.arizona.edu/katalin-gothard> (University of Arizona), Michael Pfeiffer <https://www.ini.uzh.ch/~pfeiffer/index.html> (University of Zurich and ETH Zurich), Francisco Barranco <fbarranco(a)ugr.es> (University of Granada) *Former 2007-2013 Workshop Director: * Tobi Delbruck <https://www.ini.uzh.ch/~tobi/> (University of Zurich and ETH Zurich) -- 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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four postdoctoral positions available at the University of Göttingen
by Schloegl, Christian Dec. 14, 2015

Dec. 14, 2015

The Georg-August-University Göttingen, the German Primate Center and the Bernstein Center for Computational Neuroscience are looking to fill four positions of Postdoctoral fellows The postdoctoral fellows will be associated with the Cognitive Ethology Laboratory (Julia Fischer, www.dpz.eu/de/abteilung/kognitive-ethologie<http://www.dpz.eu/de/abteilung/kognitive-ethologie>), the Cognitive Neuroscience Laboratory (Stefan Treue, www.dpz.eu/cnl<http://www.dpz.eu/cnl>), including the Sensorimotor Group (Alexander Gail, www.dpz.eu/smg<http://www.dpz.eu/smg>) and the Decision and Awareness Group (Igor Kagan, www.dpz.eu/dag<http://www.dpz.eu/dag>), at the University of Göttingen and the German Primate Center, or the Theoretical Neurophysics Group (Fred Wolf, https://www.uni-goettingen.de/en/58058.html) at the Bernstein Center for Computational Neuroscience. All positions are at pay grade 13 TV-L, full-time (currently 39, 80 hours per week) for an initial duration of 2 years and are available immediately. Your project We are recruiting postdoctoral fellows for an interdisciplinary research project studying social interactions and decision-making in human and non-human primates. For this purpose, a novel experimental platform is to be developed for behavioral (and with the later option of electrophysiological / stimulation) studies of sensorimotor decision-making in cooperative and competitive social interaction settings, across humans and different non-human primate species. We are searching for two postdoctoral fellows with an experimental or engineering background to develop this innovative experimental platform by integrating several technological (e.g., eye-tracking, hand motion tracking, real-time behavior-contingent visual stimuli, etc.) and methodological approaches (e.g., from neurosciences, behavioral biology and psychology) into a single experimental tool. Two postdoctoral fellows with a mathematical or theoretical background are expected to develop a mathematical framework and the computational tools for the analysis of large-scale multimodal data streams to be generated through the platform and from other sources. Your profile We are looking for highly motivated, enthusiastic and creative researchers with strong experimental and/or analytical skills. Good command of written and spoken English is a must, German is a plus. The ability to work in an interdisciplinary team and the capacity to supervise students and technical personnel is expected. Successful candidates for the development of the experimental platform should have a PhD in cognitive science, psychology, behavioral biology, neuroscience or related fields. Demonstrable experience with designing, conducting and analyzing behavioral experiments in humans and/or non-human primates is essential; programming skills and an understanding of hardware and software integration in real-time experimental systems is beneficial; a prior experience in studying social interactions is of additional value. Successful candidates for the development of computational tools should have a PhD in computational neuroscience, physics, mathematics, informatics, statistics, or related fields. Advanced knowledge of stochastic dynamics, systems and signal theory, as well as excellent computational skills are required. Extensive experience with the analysis of complex data streams is a plus. Ideal candidates will be driven by a genuine interest in theoretical approaches to complex biological systems. The project is embedded in the recently established Leibniz ScienceCampus "Primate Cognition" (www.primate-cognition.eu/en<http://www.primate-cognition.eu/en>) that encompasses a wide range of Göttingen researchers from multiple disciplines interested in understanding primate cognitive functions. Due to a highly collaborative and interdisciplinary nature of the project, and the recent upsurge of interest in the social aspects of decision-making and goal-directed actions both locally and in the international scientific community, it promises to be very visible. While the fellow positions are available for two years, the goals and the underlying framework of the project are a central part of the long-term commitment of the "Primate Cognition" scientific community and are expected to be continued. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply as they are underrepresented in this field. Disabled persons with equivalent aptitude will be favored. The positions are generally suitable for part-time employment. Please send your application with the usual documents submitted as a single PDF file via email to the ScienceCampus coordinator, Dr. Christian Schloegl (cschloegl(a)dpz.eu<mailto:cschloegl@dpz.eu>), with the subject "Application social decision-making". Application deadline is January 31st, 2016. Three months after completion of the application process, submitted application material will be deleted. If you have any questions, please contact Dr. Christian Schloegl (cschloegl(a)dpz.eu<mailto:cschloegl@dpz.eu>; phone: +49-551-3851-480). _________________________________ Dr. Christian Schloegl Leibniz-WissenschaftsCampus Primatenkognition Deutsches Primatenzentrum GmbH Leibniz-Institut für Primatenforschung Kellnerweg 4, 37077 Göttingen Tel: +49 551 3851-480 Fax: +49 551 3851-489 E-Mail: cschloegl(a)dpz.eu<mailto:cschloegl@dpz.eu> http://www.primate-cognition.eu<http://www.primate-cognition.eu/> Vorsitzender des Aufsichtsrates: MDgt Rüdiger Eichel Geschäftsführer: Prof. Dr. Stefan Treue, Assessor jur. Michael Lankeit Sitz der Gesellschaft: Göttingen Handelsregister: Göttingen HRB 933

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Postdoctoral positions at the interface of algebraic topology and theoretical neuroscience at Penn State
by Vladimir Itskov Dec. 12, 2015

Dec. 12, 2015

Dear colleagues, Applicants are invited for postdoctoral positions at the interface of theoretical neuroscience and algebraic topology or applied algebra. An ideal candidate is a mathematics Ph.D. with background in areas such as algebraic topology, geometry, commutative algebra, or combinatorics. Prior familiarity with neuroscience is not required, but interest in learning the relevant background is expected. The postdoctoral fellow will engage in the development of novel mathematical methods for understanding neural coding and neural networks. To apply, please submit your application via the mathjobs.org website in response to the job ad http://www.mathjobs.org/jobs/jobs/7575 See also http://sites.psu.edu/mathneurolab/ for more information. __________________________________ Vladimir Itskov Associate Professor of Mathematics The Pennsylvania State University email: vladimir.itskov(a)psu.edu http://www.personal.psu.edu/vui1 __________________________________

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faculty positions at Penn State
by Vladimir Itskov Dec. 12, 2015

Dec. 12, 2015

---------- Forwarded message ---------- Date: Wed, 9 Dec 2015 14:57:49 -0500 From: "Adam Smith (CSE)" <asmith(a)cse.psu.edu> Subject: data science/ML and cognitive science faculty positions at Penn State -- talk to us at NIPS! Penn State will be hiring multiple faculty in "data science" and "brain science", broadly defined. There are open positions in the department of Computer Science & Engineering as well as Statistics, and positions have the potential to be joint with other departments at Penn State. The ad for the CSE department follows. I will be at NIPS on Thursday (11am poster session) and Friday (at the workshop on adaptive data analysis). Send me an email if you'd like to talk! Adam Smith -- Penn State Computer Science & Engineering http://www.cse.psu.edu/~asmith Links: https://psu.jobs/job/60027 http://eecs.psu.edu/departments/EECS-Departments-Employment-Opportunities.a… http://cra.org/job/pennsylvania-state-university-faculty-position-vacancies/ =========================== Applications are invited for several tenure-track faculty positions at all ranks. Outstanding candidates in all areas of Computer Science and Engineering will be considered. Areas of particular interest are: hardware systems, computer architecture/embedded systems, software systems, brain science, data science, and security with applications to networking, systems and data analytics. Faculty lines in the areas of architecture/embedded systems, data science, and networking will be hired jointly with the Department of Electrical Engineering in the School of Electrical Engineering and Computer Science. Hiring in the brain science (especially around the analyses of imaging data) and the security of large-scale cyberphysical systems (including smart grids and food-water-energy systems), will be jointly hired with the Institute for CyberScience. These positions are part of a university-wide initiative to appoint exceptional candidates who can advance algorithms, software and hardware systems with a demonstrated commitment to participating in interdisciplinary research (see www.ics.psu.edu/hire.html) The department has 30 tenure-track faculty in the major areas of computer science and engineering. Fourteen members of our faculty are NSF Career Award recipients. Three faculty members from the department have received the prestigious NSF PECASE Award. In recent years, faculty in the department were awarded several large-scale research grants, including the Collaborative Research Alliance for the Science of Security, a Collaborative Technology Alliance for Network Science and an NSF Expeditions in Computing award. Further, the faculty have received awards in computing and research infrastructure and instrumentation grants from NSF, and are part of DARPA/STARNET Center, an NSF ERC and NSF IGERT team. The faculty are highly successful in obtaining funding from NSF, DARPA, ARL, DOE, DTRA, AFOSR and AOR. There are state-of-the-art research labs for computer systems, computer vision and robotics, microsystems design and VLSI, networking and security, high performance computing, bioinformatics and virtual environments. The department offers a graduate program with 30 Masters students and 132 Ph.D. students, and undergraduate programs in computer science and computer engineering. The university is committed to growing the faculty ranks and promoting interdisciplinary research toward cyber-enabled discovery and design. Penn State is a major research university and is ranked 3rd in the nation in industry-sponsored research and 8th in the nation in research expenditures. U.S. News and World Report consistently ranks Penn State?s College of Engineering undergraduate and graduate programs among the top in nation. Penn State is ranked 5th world wide in Computer Science Citations according to Thomson-Reuters. The university is located in the beautiful college town of State College in the center of Pennsylvania. The State College area has 130,000 inhabitants and offers a wide variety of cultural and outdoor recreational activities. The university offers outstanding events from collegiate sporting events to fine arts productions. Many major population centers on the east coast (New York, Philadelphia, Pittsburgh, Washington D.C., Baltimore) are only a few hours drive away and convenient air services to several major hubs are operated by three major airlines out of State College. Applicants should hold a Ph.D. in computer science, computer engineering, or a closely related field and should be committed to excellence in both research and teaching. Support will be provided to the successful applicants for establishing their research programs. We strongly encourage dual career couples and candidates from underrepresented groups to apply. Applicants should submit a statement of professional interests, curriculum vitae, and the names and addresses of four references. Please submit these items in a single PDF file electronically at http://apptrkr.com/681413. Nominations and applications will be considered until the positions are filled. If you have questions regarding the application process, please email recruiting(a)cse.psu.edu. Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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MICCAI 2016 - Call for Papers and Workshop/Tutorial/Challenge Proposals
by Devrim Unay Dec. 12, 2015

Dec. 12, 2015

[Apologies for cross posting] We are writing to invite you to participate in *MICCAI 2016*, the 19th International Conference on Medical Image Computing and Computer Assisted Intervention, which will be held from *October 17th to 21st, 2016 in Istanbul, Turkey*. Call for papers can be found here: http://miccai2016.org/en/CALL-FOR-PAPERS.html. The paper submission deadline is *March 10, 2016*. Call for workshop/tutorial/challenge proposals can be found here: http://miccai2016.org/en/SATELLITE-EVENTS.html. The proposal submission deadline is *January 19, 2016*. For the latest information, please refer to our website: http://miccai2016.org. Also, please follow us on Facebook <https://www.facebook.com/groups/1050034681703084/> and Twitter <https://twitter.com/MICCAI2016>. We look forward to welcoming you to Istanbul in October 2016! On Behalf of the MICCAI 2016 Organizing Committee Sebastien Ourselin General Chair

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1st call for papers: PRNI 2016
by Jo Etzel Dec. 11, 2015

Dec. 11, 2015

******* please accept our apologies for cross-posting ******* ------------------------------------------------------------------------------ FIRST CALL FOR PAPERS PRNI 2016 6th International Workshop on Pattern Recognition in Neuroimaging 22-24 June 2016 Fondazione Bruno Kessler (FBK), Trento, Italy www.prni.org - @PRNI2016 - www.facebook.com/PRNI2016/ ------------------------------------------------------------------------------ Paper submission deadline: 18 March 2016, 11:59 pm PST Acceptance notification: 22 April 2016 Camera-ready paper deadline: 7 May 2016 Oral and poster sessions: 22-24 June 2016 Pattern recognition techniques have become an important tool for neuroimaging data analysis. These techniques are helping to elucidate normal and abnormal brain function, cognition and perception, anatomical and functional brain architecture, biomarkers for diagnosis and personalized medicine, and as a scientific tool to decipher neural mechanisms underlying human cognition. The International Workshop on Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue between developers and users of cutting-edge analysis techniques in order to find matches between analysis techniques and neuroscientific questions; (2) showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches. PRNI welcomes submissions on topics including, but not limited to: * Learning from neuroimaging data - Algorithms for brain-state decoding or encoding - Optimization and regularization - Bayesian analysis of neuroimaging data - Causal inference and time delay techniques - Network and connectivity models (the connectome) - Dynamic and time-varying models - Dynamical systems and simulations - Empirical mode decomposition, multiscale decompositions - Combination of different data modalities - Efficient algorithms for large-scale data analysis * Interpretability of models and results - High-dimensional data visualization - Multivariate and multiple hypothesis testing - Summarization and presentation of inference results * Applications - Disease diagnosis and prognosis - Real-time decoding of brain states - Analysis of resting-state and task-based data - MEG, EEG, structural MRI, fMRI, diffusion MRI, ECoG, NIRS Authors should prepare full papers with a maximum length of 4 pages (two column IEEE style) for double-blind review. The manuscript submission deadline is 18 March 2016. Accepted manuscripts will be assigned either to an oral or poster sessions; all accepted manuscripts will be included in the workshop proceedings. -- Joset A. Etzel, Ph.D. Research Analyst Cognitive Control & Psychopathology Lab Washington University in St. Louis http://mvpa.blogspot.com/

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Postdoc in mathematical neuroscience at the University of Houston/UC, Boulder
by Kresimir Josic Dec. 11, 2015

Dec. 11, 2015

We are looking for a postdoctoral associate with a background in applied mathematics and/or computational neuroscience. The successful applicant will work with Krešimir Josić at the University of Houston and Zack Kilpatrick at the University of Colorado at Boulder. The goal of the project is to use linear response theory and its extensions to predict how patterns of activity and structure of neuronal networks co-evolve. This is a collaborative project with Brent Doiron (Pitt) and Eric Shea-Brown (UW, Seattle). The deadline for applications is January 15, 2016. This position is expected to run September 1, 2016 through August 31, 2018. Interested applicants can apply online at at the University of Houston jobs website: https://jobs.uh.edu/postings/28856 <https://jobs.uh.edu/postings/28856> Please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)math.uh.edu <mailto:zpkilpat@math.uh.edu>) if you have any questions. The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation, gender identity or gender expression. -- ** Krešimir Josić ** Department of Mathematics ** University of Houston ** http://math.uh.edu/~josic ** Tel: (713) 743-3485

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PhD at Edinburgh on data analysis
by Matthias Hennig Dec. 10, 2015

Dec. 10, 2015

A funded PhD position is available at the University of Edinburgh to develop and implement efficient paralellised methods for analysis of large scale, high density multielectrode array recordings. The project will focus on analysis of primary raw data from a 4,096 channel array, and aims at improving spike detection and sorting, and statistical analysis of multi-neuron activity. Data will come from the labs of Evelyne Sernagor (Newcastle, retina) and Luca Berdondini (IIT Genova, cultured networks). Applicants should have a strong quantitative background and interest in interdisciplinary research. Background in neuroscience and/or parallel programming is desirable, but not essential. This position is available to UK/EU applicants, and eligible for funding by the EPSRC CDT in Pervasive Parallelism. Interested individuals should send a c.v., statement of interest and the names of three references to Matthias Hennig (h.hennig(a)ed.ac.uk) Apply by 1 February 2016. PPar http://pervasiveparallelism.inf.ed.ac.uk/ J.-O. Muthmann, H. Amin, E. Sernagor, A. Maccione, D. Panas, L. Berdondini, U.S. Bhalla, M.H. Hennig (2015). Spike detection for large neural populations using high density multielectrode arrays. Front Neuroinform, 9:28. http://journal.frontiersin.org/article/10.3389/fninf.2015.00028/abstract D. Panas, H. Amin, A. Maccione, O. Muthmann, M. van Rossum, L. Berdondini, M.H. Hennig (2015). Sloppiness in spontaneously active neuronal networks. J Neurosci, 35(22): 8480-8492. http://www.jneurosci.org/content/35/22/8480.full -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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