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

NEURAL COMPUTATION - April, 2014
by Terry Sejnowski April 24, 2016

April 24, 2016

Neural Computation - Contents -- Volume 26, Number 4 - April 1, 2014 Available online for download now: http://www.mitpressjournals.org/toc/neco/26/4 ----- Article Parametric Inference in the Large Data Limit Using Maximally Informative Models Justin Block Kinney, Gurinder Singh Atwal Letters Input Statistics and Hebbian Crosstalk Effects Anca R. Radulescu Learning Nonlinear Regularities in Natural Images by Modeling the Outer Product of Image Intensities Peng Qi, Xiaolin Hu Dissociable Forms of Repetition Priming: A Computational Model Kirill Makukhin, Scott Bolland Refined Rademacher Chaos Complexity Bounds With Applications to the Multi-Kernel Learning Problem Yunwen Lei, Lixin Ding Large Margin Low Rank Tensor Analysis Guoqiang Zhong, Mohamed Cheriet Large-scale Linear RankSVM Ching-Pei Lee, Chih-Jen Lin ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES USA Others Electronic Only Student/Retired $70 $193 $65 Individual $124 $187 $115 Institution $1,035 $1,098 $926 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders(a)mit.edu ------------

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v5.7 of NeuroMorpho.Org released on 30 May, 2014
by NeuroMorpho Administrator March 10, 2016

March 10, 2016

Version 5.7 of NeuroMorpho.Org was released on 30 May, 2014. The release included 29 new data sets (1341 reconstructions), including from three new animal species (dragonfly, moth, and sheep). The database now contains 11,335 reconstructions from 144 contributing labs. More than 3.2 million reconstructions were downloaded in over 130,000 unique visits from 146 countries. Please visit the What's new<http://neuromorpho.org/neuroMorpho/WIN.jsp> page for details on data included in this release, including new species strains, brain regions, cell types, and experimental conditions. The Acknowledgements <http://neuromorpho.org/neuroMorpho/acknowl.jsp> include details on contributing labs, and the About<http://neuromorpho.org/neuroMorpho/about.jsp> page provides an updated overview of the repository content. A new user-friendly functionality, OntoSearch<http://neuromorpho.org/neuroMorpho/OntoSearch.jsp>, was introduced in this release, enabling more powerful searches of species and strains with automated synonym translation, taxonomical relations, and keyword auto-completion. The literature coverage database was also updated to include publications through March 2014. We are continuously grateful to all the data owners who freely share their data with the community. We always appreciate any and all feedback and comments. Sincerely, The NeuroMorpho.Org team -- Ruchi Parekh, Ph.D. NeuroMorpho.Org Project Lead Postdoctoral Research Fellow Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study MS2A1, George Mason University Fairfax, VA 22030 (USA) Ph - +1-703-993-4382<tel:%2B1-703-993-4382> www.neuromorpho.org<http://www.neuromorpho.org/> nmadmin(a)gmu.edu<mailto:nmadmin@gmu.edu>?

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PhD positions in computational neuroscience
by Dan Goodman Nov. 2, 2015

Nov. 2, 2015

One or more PhD positions in computational neuroscience are available in the Neural Reckoning Group of Dan Goodman at the Department of Electrical and Electronic Engineering, Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas, including neuroinformatics (i.e simulation and analysis of neural data) or sensory neuroscience (e.g. spiking neural models in the auditory system). For more information about the group, including some suggestions for research topics, see http://neural-reckoning.org/openings.html. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial (recently ranked 2nd in the world in the QS world university rankings) and in the many neuroscience groups in London. Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (for more information, see http://www3.imperial.ac.uk/electricalengineering/courses/phd) Funding is available for at least one student, and there are several competitive funding schemes at Imperial which would provide funding for additional students. Also, please forward this message on to any of your students or colleagues with students that you think may be interested. Dan Goodman

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Neuroscience Graduate Group at the University of Pennsylvania
by Joshua Gold Oct. 8, 2015

Oct. 8, 2015

The Neuroscience Graduate Group (NGG) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2015. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and growing community of scholars in this field, including: Vijay Balasubramanian, Department of Physics Danielle S Bassett, Department of Bioengineering David H Brainard, Department of Psychology Maja Bucan, Department of Genetics Johannes Burge, Department of Psychology Alice S Chen-Plotkin, Department of Neurology Brian Chow, Department of Bioengineering Yale E Cohen, Department of Otorhinolaryngology Diego Contreras, Department of Neuroscience Christopher M Fang-Yen, Department of Bioengineering Maria Neimark Geffen, Department of Otorhinolaryngology Joshua I Gold, Department of Neuroscience John B Hogenesch, Department of Pharmacology Joseph W Kable, Department of Psychology Michael J Kahana, Department of Psychology Max Kelz, Department of Anesthesiology Brian Litt, Departments of Neurology and Bioengineering Joel D Mainland, Department of Neuroscience Javier F Medina, Department of Psychology Nicole C Rust, Department of Psychology Robert G Smith, Department of Neuroscience Alan A Stocker, Department of Psychology Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups. The application deadline for the NGG is December 1, 2014. For more details please see our website: http://www.med.upenn.edu/ngg/app_info.shtml ----- Joshua Gold University of Pennsylvania Department of Neuroscience 116 Johnson Pavilion 3610 Hamilton Walk Philadelphia, PA 19104-6074 office phone: 215-746-0028 lab phone: 215-746-0168 e-mail: jigold(a)mail.med.upenn.edu http://www.med.upenn.edu/goldlab

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Gatsby Computational Neuroscience Unit, PhD Programme
by Peter Dayan Sept. 24, 2015

Sept. 24, 2015

Gatsby Computational Neuroscience Unit, University College London 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel methods, and applications of these to the analysis of perceptual processing, neural data, machine vision and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a building, and Biosciences, Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and Statistics, the cross-faculty Centre for Computational Statistics and Machine Learning, and also with other UK and overseas universities. The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning. All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. We will review applications as soon as they are complete (including a CV, statement of research interests and letters from three referees) until the positions are filled. Early application is thus advised. Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html

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PhD studentships in computational neuroscience and machine learning
by Steuber, Volker Aug. 28, 2015

Aug. 28, 2015

Applications are invited for PhD studentships in the Biocomputation Research Group at the Science and Technology Research Institute at the University of Hertfordshire. PhD projects involve the development of computer simulations of neurons and neuronal networks to study information processing in the brain, and/or the application of machine learning techniques to analyse electrophysiological data. More details about our research and a list of potential projects can be found on our homepage (http://homepages.herts.ac.uk/~comqvs/research.html) Applicants should have good computational and numerical skills and an excellent first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Previous experience in neuroscience is not required but would be an advantage. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London. Please contact Dr Volker Steuber (v.steuber @ herts.ac.uk) for informal enquiries. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 9 June 2014.

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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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2 Post-doc positions on the relation of information and causation (Prof. Giulio Tononi)
by Larissa Albantakis Dec. 17, 2014

Dec. 17, 2014

Up to 2 postdoctoral positions are available at the center for sleep and consciousness science in the laboratory of Dr. Giulio Tononi (University of Wisconsin, Madison), to study the relation of information and causation within the framework of the integrated information theory of consciousness (Balduzzi & Tononi, 2008; Tononi, 2012). Immediate funding is available for a range of projects related to foundational questions regarding the ontological status of information, and its relation to causation, emergence, adaptation, evolution, and consciousness (see detailed scope of work below). Successful candidates will work at the center for sleep and consciousness science, dedicated to a broad range of research problems focused on two neurobiological problems -- the mechanisms and functions of sleep and the neural substrates of consciousness. Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. For at least one of the positions, we explicitely encourage mathematicians to apply. Experience in information theory, complex systems, and an interest in the philosophy of information/causation are a plus. Programming experience is required (knowledge of MATLAB and/or C++ is of advantage). Appointments are renewable from year to year for up to 3 years, starting as soon as possible or until the positions are filled. Post-doc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Giulio Tononi, gtononi(a)wisc.edu. Balduzzi D, Tononi G (2008) Integrated information in discrete dynamical systems: motivation and theoretical framework. /PLoS Comput Biol/ 4:e1000091. Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal emergence shows that macro can beat micro. /PNAS/, /110/(49), 19790--19795. Tononi G (2012) Integrated Information Theory of Consciousness: An Updated Account. /Arch Ital Biol/ 150:56--90. The scope of work will range from: -theoretical development and computational implementation of the notion of intrinsic causal information -causal analysis, including the systematic use of perturbations, counterfactuals, and irreducibility -analysis of complex systems in terms their causal/informational structure -meaning (understanding and control) from the intrinsic perspective of the system -actual causation (causal explanation) -examining similarities and differences between existing notions of information and causation (Shannon information, algorithmic information,...) -defining emergence in terms of the spatio-temporal grain size at which a system of elements achieves a maximum of causal power -evolutionary/adaptive aspects of information/causation including simulations based on small adaptive neural networks (animats), which evolve and adapt to an environment that requires sensitivity to context for survival

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Postdoctoral position in cerebellar network modeling in Okinawa
by Erik De Schutter Nov. 30, 2014

Nov. 30, 2014

A postdoctoral researcher position to model cerebellar function is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University. Depending on previous experience research emphasis can be on analyzing population activity in network models of the olivocerebellum or on further development of XML-based methods for network model description and simulation, or a combination of both. Candidates should have experience in network modeling, preferentially using the parallel NEURON environment. Prior knowledge of cerebellar anatomy and physiology is a plus but not required. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on a beautiful subtropical island. Send curriculum vitae, Candidates should mail a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp

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Two postdoctoral/research associate positions in computational neuroscience at Drexel University College of Medicine.
by Ilya Rybak Nov. 29, 2014

Nov. 29, 2014

Two postdoctoral/research associate positions in computational neuroscience at Drexel University College of Medicine Two postdoctoral/research associate positions in computational neuroscience for the duration of up to three years are available at Drexel University College of Medicine (Theoretical and Computational Neuroscience Lab of Dr. Ilya A. Rybak) to participate in externally funded projects. One position is for computational modeling of neural control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex and spinal cord in connection with simulation of pathological changes in motor control during Huntington’s disease. The other position involves modeling of spinal cord circuits, including the circuits of locomotor CPG, in close interactive collaboration with several world leading laboratories performing experimental studies in the isolated rodent spinal cord. Applicants must have a PhD degree in Applied Mathematics, Physics, Computer Science, Neuroscience, or related discipline and have excellent C++ programming skills. Previous experience in computational modeling of biological neurons and neural networks is a plus. Interested candidates are encouraged to contact Dr. Rybak (rybak(a)drexel.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. ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 USA Tel.: (215) 991-8596 FAX: (215) 843-9082 E-mail: rybak(a)drexel.edu http://neurobio.drexelmed.edu/rybakweb/rybak.html http://www.drexelmed.edu/Home/AboutOurFaculty/IlyaARybak.aspx https://www.researchgate.net/profile/Ilya_Rybak/publications/ http://scholar.google.com/citations?hl=en&user=SnA068QAAAAJ http://www.pubfacts.com/author/Ilya+A+Rybak

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PhD Studentships in Neurotechnology at Imperial College London
by Simon Schultz Nov. 28, 2014

Nov. 28, 2014

*4-year studentships available in the Imperial College EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health* *Ten fully-funded studentships are now available for start in October 2015. * Neurotechnology is the use of insights and tools from engineering, mathematics, physics, chemistry, and biology to investigate neural function and treat dysfunction. Brain-related illnesses affect more than two billion people worldwide, and the numbers are growing. Reducing this burden is a major challenge for society. The Centre for Doctoral Training in Neurotechnology for Life and Health will train a new generation of multidisciplinary researchers at the interface of neuroscience and engineering, to address this challenge. The Centre spans the Faculties of Engineering, Natural Sciences and Medicine at Imperial, with investigators from the Departments of Bioengineering, Mechanical Engineering, Electrical and Electronic Engineering, Computing, Chemistry, Physics, Life Sciences, and the Division of Brain Sciences. Directed by Dr Simon Schultz, Prof Bill Wisden and Prof Paul Matthews, it intends to admit approximately 14 students per year. All research projects will involve a team of supervisors, each of whom will bring complementary expertise to the project. In addition to researchers from across Imperial College, the Centre involves twenty industry and charity partners, as well as satellite research groups at the Crick Institute and the University of Oxford. Studentships begin with a one-year MRes in Neurotechnology, which forms an integral part of the four year training programme. During this year, students will take 3 months of taught courses specially developed for the CDT, followed by laboratory rotations as part of a single research training project. After the first year, students enter the PhD phase having developed the interdisciplinary and technical skills to thrive in a cutting edge research environment, and make the most impact with their PhD. *Who should apply* Applicants should be seeking to undertake a /multidisciplinary /4-year research training programme at the interface between neuroscience and engineering. Candidates should have, or expect to obtain, a first or upper second class degree, or non-UK equivalent, in an engineering or physical sciences discipline. Students with a biological or medical sciences background will be considered in exceptional circumstances, provided they can demonstrate substantial quantitative skills. All studentships are open to UK or EU applicants who meet EPSRC eligibility criteria (see www.epsrc.ac.uk/skills/students/help/eligibility <http://www.epsrc.ac.uk/skills/students/help/eligibility>). A limited number of places is also available to UK or EU applicants, with no residency criteria. International (ie non UK/EU) candidates may be considered for the CDT programme *if they can provide their own full funding*for the 4 years. *Funding* Studentships cover tuition fees and a tax free stipend of approximately £16,000 per year. A generous annual allowance is provided for research consumables and for conference attendance. *How to Apply* Visit www.imperial.ac.uk/neurotechnology/cdt <http://www.imperial.ac.uk/neurotechnology/cdt>for more information on the CDT as well as details of projects available and how to apply.*Application deadline: 30^th January 2015*. -- Simon R Schultz Reader in Neurotechnology & Royal Society Industry Fellow Neural Coding Laboratory: http://www.schultzlab.org Department of Bioengineering, Imperial College London South Kensington, London SW7 2AZ, UK Director, Imperial College Centre for Neurotechnology Administrator: Dr Kate Hobson, Phone: +44 207 594 5101 http://www.imperial.ac.uk/neurotechnology EU Neural Engineering Marie Curie ITN: http://www.neural-engineering.eu

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Job offer
by Silvia Gruhn Nov. 27, 2014

Nov. 27, 2014

Dear Madam/Sir, could you please post the following Job offer for us? "The Heisenberg Research Group of Computational Biology at the University of Cologne in Cologne, Germany announces a Research Position (100%, EG TV-L 13) in computational neuroscience for the duration of up to three years. The position is available in the externally funded project "Central pattern generators and reflexive feedback in insect locomotion: a cross-species study". Animal locomotion begins in the central nervous system and results in quantifiable mechanical activity; it therefore provides an excellent entry point into the neural computations that create intentional behaviors that respond to environmental conditions. Locomotion originates in central pattern generators: neural networks in the spinal cord of vertebrates and thoracic ganglia of insects which produce rhythmic movements. Some preparations (e.g. lamprey, crayfish) can generate stable, near-periodic rhythms in isolation, others require sensory feedback either to produce functional gaits or for the stabilization of the rhythms. Cockroaches and stick insects exemplify these two extremes. They share the same basic neural and biomechanical architecture, but the former run rapidly over rough ground, while the latter are adapted for slow walking on twigs and leaves with varying orientations with regard to gravity. Using existing information and collecting new data, this project will compare these species and address questions as described in the work plan. The development of integrated mathematical and computational models is central to answering such questions. New data will improve existing models, and new models will be created to span the morphological and behavioral ranges from stick insects to cockroaches, allowing us to illuminate their adaptive strategies to different environments. The objective of our research project is to deepen our understanding of the generation and control of locomotion. This collaborative project is performed jointly by the groups of Drs. Silvia Gruhn (Dept. of Animal Physiology, University of Cologne, Cologne, Germany) and Phil Holmes (Dept. of Mathematics, Princeton University, Princeton, NJ, USA). Applicants must have a Master's degree or a Diploma in Applied Mathematics, Physics, or a related discipline and have excellent C++ programming skills. Previous experience in computational neuronal modeling is an advantage. The possibility to be enrolled into a PhD program will be provided if desired. Interested candidates are encouraged to contact Dr. Silvia Gruhn (sgruhn(a)uni-koeln.de) 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 two referees." Thank you very much! With kind regards, Silvia Gruhn -- PD Dr. Silvia Gruhn DFG-Heisenberg Programm - Leiterin der Arbeitsgruppe 'Computational Biology' Zoologisches Institut, Abt. Tierphysiologie Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Tel. 0221-4703829 Fax. 0221-4704889 http://www.neuro.uni-koeln.de/neuro-gruhn-staff-sg.html

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Program available for Workshop on Neural Information Dynamics, Causality and Computation near Criticality”, December 12-13th, 2014
by Michael Wibral Nov. 25, 2014

Nov. 25, 2014

Dear Computational Neuroscience Community, the program for the "Workshop on Neural Information Dynamics, Causality and Computation near Criticality" (below) is available from Thursday, Nov. 26th at: http://www.proloewe.de/en/neff A few places are still left for both, workshop and course, and will be given away first come, first serve (email to wibral(a)em.uni-frankfurt.de) The program of the workshop now offers the opportunity to bring a Poster. Best Regards, Michael Wibral ------------------------------------------------------------------------------------------------------------------ LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS) jointly invite to the “Workshop on Neural Information Dynamics, Causality and Computation near Criticality” December 12-13th, 2014 The workshop is preceded by a “Software course on Neural Information Dynamics with TRENTOOL, the Java Information Dynamics Toolkit and MuTE” December 10-11th, 2014 Venue: Workshop and Software course will be held at the Frankfurt Institute for Advanced Studies (FIAS, www.fias.uni-frankfurt.de) Ruth-Moufang-Straße 1, 60438 Frankfurt, Germany The workshop addresses methods and recent advances in the analysis of computation in large neural systems, focusing on three tightly interrelated topics: Neural information dynamics Information theoretic quantities separate and measure key elements of distributed computation in neural systems, such as the storage, transfer, and modification of information. These concepts can help to better understand the computational algorithms implemented by the dynamics of a neural system, and to provide the link between these algorithms and their biophysical implementation. Causality The analysis of causal interactions yields important insights into the biophysical substrate of neural dynamics that enable emergent computation. It is one of the goals of the workshop to discuss the link between causal analysis and the analyses of information processing proper, in order to clarify the dividing line and the mutual benefit of these two types of analyses. Large scale organisation and criticality Neural systems orchestrate the activity of an enormous number of interacting neurons to achieve their computational capabilities. Recent technological advances make it possible to record simultaneously from a large number of neurons. Here we explore recent developments in identifying large-scale organizing principles underlying computation in extended neural system.

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[meetings] Living Machines IV: First Call for Papers, Satellite Events and Sponsors
by Nathan F Lepora Nov. 25, 2014

Nov. 25, 2014

______________________________________________________________ First Call for Papers, Satellite Events and Sponsors Living Machines IV: The 4th International Conference on Biomimetic and Biohybrid Systems 27th to 31st July 2015 http://csnetwork.eu/livingmachines To be hosted at the La Pedrera Barcelona, Spain In association with the Universitat Pompeu Fabra Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline March 16th, 2015 ______________________________________________________________ ABOUT LIVING MACHINES 2015 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The following are some examples: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Active biomimetic materials and structures that self-organize and self-repair. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 29th to 31st July 2015, hosted at the La Pedrera, Barcelona, Spain. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies The full conference will be preceded by up to two days of Sateliite Events hosted by the Universitat Pompeu Fabra in Barcelona. SUBMITTING TO LIVING MACHINES 2015 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines 2015 proceedings which we expect to be published in the Springer-Verlag LNAI Series. Full papers (upto 12 pages) are invited from researchers at any stage in their career but should present significant findings and advances in biomimetic or biohybid research; more preliminary work would be better suited to extended abstract submission (minimum 4 pages). Further details of submission formats will be circulated in an updated CfP and will be posted on the conference web-site. Full papers will be accepted for either oral presentation (single track) or poster presentation. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of Bioinspiration and Biomimetics. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for 1-day or 2-day tutorials, symposia or workshops on related themes to be held 27-28th July at Universitat Pompeu Fabra. Events can be scheduled on either the 27th or the 28th or across both days. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is a lot of flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event. EXPECTED DEADLINES March 16th, 2015 Paper submission deadline May 1st, 2015 Notification of acceptance May 22nd, 2015 Camera ready copy July 27-31 2015 Conference SPONSORSHIP Living Machines 2015 is sponsored by the Convergent Science Network (CSN) for Biomimetics and Neurotechnology. CSN is an EU FP7 Future Emerging Technologies Co-ordination Activity that also organises two highly successful workshop series: the Barcelona Summer School on Brain, Technology and Cognition (http://bcbt.upf.edu/bcbt12/) and the Capoccaccia Neuromorphic Cognitive Engineering Workshop. The 2015 Living Machines conference will also be hosted and sponsored by the Universitat Pompeu Fabra. Call for Sponsors. Other organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products to through conference publications, the conference web-site, and conference publicity are encouraged to contact the conference organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive and good-value packages to potential sponsors. ABOUT THE VENUE Living Machines 2015 returns to the venue of our first conference at the beautiful biomimetic building La Pedrera (Casa Mila) (https://www.lapedrera.com/en/home) designed by reknown modernist architect Antoni Gaudi. Attendees at the conference will get a free ticket to visit this historic building in the centre the Barcelona. Workshops will be held at the Pobleneu Campus of Universitat Pompeu Fabra, close to hotel and restaurant area of the Diagonal and Ramblas de Pobleneu and a short walk from Barcelona’s famous beaches. Organising Committee: Paul Verschure, Universitat Pompeu Fabra (Co-chair) Tony Prescott, University of Sheffield (Co-chair) Stuart Wilson, University of Sheffield (Program Chair) Anna Mura, Universitat Pompeu Fabra (Communications, Local Organiser) Nathan Lepora, University of Bristol (Communications) Carme Buisan University Pompeu Fabra (Treasurer) -- Dr N Lepora Phone: 07859 024565 Website: www.lepora.com Honorary Research Fellow, Sheffield Centre for Robotics (SCentRo) University of Sheffield S10 2TP Lecturer in Robotics, Department of Engineering Mathematics and Bristol Robotics Laboratory University of Bristol BS8 1UB

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Olfactory Modeling Workshop
by Sharon Crook Nov. 24, 2014

Nov. 24, 2014

The National Institute for Mathematical and Biological Synthesis (NIMBioS) is now accepting applications for its Investigative Workshop, "Olfactory Modeling," to be held March 2-4, 2015, at NIMBioS. Objectives: The sense of smell is important for all animals; odors are associated with identifying and locating food, determining food quality, and identifying threats. In humans, loss of sense of smell occurs with normal aging and is associated with a loss in quality of life. A decline in the ability to detect and discriminate odors also can be a harbinger of neurodegenerative conditions such as Parkinson's disease and Alzheimer's disease. Moreover, the olfactory system is an important model system for exploring neural computation including changes in neural circuits in response to the environment and experience. The olfactory system provides specific advantages for understanding learning and memory, one of the most important goals in neuroscience. Technological advances have led to a wealth of information about how olfactory coding takes place in the mammalian nervous system, where experimental approaches range from large-scale measurement of neural activity during behavior to manipulation of activity via optogenetics. Integration of these data through comprehensive models of the neural networks involved in olfactory processing will advance our understanding of olfaction, including the relationship between neural activity and behavior. This workshop will review the current state of the mathematical approaches and tools for modeling olfaction, identify tasks that will maximize the impact of individual projects, and establish collaborations for large-scale modeling of this system, with a focus on incorporating realistic biophysical mechanisms for learning and memory. Location: NIMBioS at the University of Tennessee, Knoxville Co-Organizers: Sharon Crook (School of Mathematical and Statistical Sciences & School of Life Sciences, Arizona State University) and Brian Smith (School of Life Sciences, Arizona State University) For more information about the workshop and a link to the online application form, go to http://www.nimbios.org/workshops/WS_olfaction Participation in the workshop is by application only. Individuals with a strong interest in the topic are encouraged to apply, and successful applicants will be notified within two weeks of the application deadline. If needed, financial support for travel, meals, and lodging is available for workshop attendees. Application deadline: December 14, 2014 The National Institute for Mathematical and Biological Synthesis (NIMBioS) (http://www.nimbios.org) brings together researchers from around the world to collaborate across disciplinary boundaries to investigate solutions to basic and applied problems in the life sciences. NIMBioS is sponsored by the National Science Foundation, with additional support from The University of Tennessee, Knoxville.

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Professor of Systems and Circuits Neuroinformatics, ETH Zurich and University of Zurich
by Michael Pfeiffer Nov. 24, 2014

Nov. 24, 2014

The Department of Information Technology and Electrical Engineering (www.ee.ethz.ch <http://www.ee.ethz.ch/>) at ETH Zurich and the Faculty of Science (www.mnf.uzh.ch <http://www.mnf.uzh.ch/en/news.html>) of the University of Zurich invite applications for the above-mentioned position in the Institute of Neuroinformatics (INI, www.ini.uzh.ch) to complement and extend its vigorous research activities. The research of the candidate should be directed towards the theory and practice of computation in neural systems and behavior, with a strong interest in theory driven experimental neuroscience and information processing in neural circuits. The successful candidate will combine cutting-edge theories and experiments in neural information processing and computation to explore the causal links between neuronal circuits and behaviour in vertebrates. An ability to develop requisite neurotechnologies will be an asset. The successful candidate will contribute to a highly collaborative multi-disciplinary environment. We encourage internationally recognized candidates with strong research records to apply. We seek to fill either a tenured or tenure-track professorship position. The new professor will be expected to teach undergraduate level courses (German or English) and graduate level courses (English). The INI is a joint institute of the Faculty of Science of the University of Zurich and the Department of Information Technology and Electrical Engineering of ETH Zurich. The INI fosters research at the interface between neuroscience, computing and engineering through its research, teaching and graduate training, and specialist international workshop programs. Its members conduct a coordinated research program by means of multidisciplinary teams composed of about 70 biologists, physicists, psychologists, engineers and computer scientists. Through many levels of experiment and theory INI scientists explore how the circuits of the brain process information to generate intelligent behavior. They exploit new developments in silicon technology and computers as a means of developing models and hardware implementations of information processing and storage in the brain. In order to strengthen interdisciplinary research, the new professor should have a strong overlap with existing interests in the INI, and also forge links with other institutes of the University of Zurich and the ETH Zurich (for example: Biology, Brain Research, Pharmacology, Computer Science, Information Technology and Electrical Engineering, Mathematics, and Physics). To apply online, please go to http://www.facultyaffairs.ethz.ch/facultypositions/prof_neuroinformatics and follow the link there.** <https://www.bi.id.ethz.ch/recruiting_app/url/Position/10878977?guest=true> Applications should include a curriculum vitae, a list of publications and statements of future research and teaching activities. The letter of application should be addressed *to the President of ETH Zurich. The closing date for applications is 15 January 2015*. ETH Zurich is an equal opportunity and family friendly employer and is further responsive to the needs of dual career couples. We specifically encourage women to apply. -- ========================================= Dr. Michael Pfeiffer Group leader, Program coordinator NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

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Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'
by Marcus Kaiser Nov. 24, 2014

Nov. 24, 2014

Dear all, our Wellcome Trust 4-year PhD programme in systems neuroscience, aimed at applicants from the physical sciences (physics, engineering, mathematics, or computer science), is now accepting applications for studentships starting in September 2015 (see below). Research areas include Neuroinformatics, Computational Neuroscience, Neuroimaging (fMRI, DTI, EEG, ECoG in rodents, non-human primates, and humans), Brain Connectivity, Clinical Neuroscience, Behaviour and Evolution, and Brain Dynamics (simulations and time series analysis). Strong interactions between clinical, experimental, and computational researchers are a key component of this programme (see, for example, http://www.cando.ac.uk/ for a current research project). On a separate note, we also offer a one-year master programme in Neuroinformatics (http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ ) which is now accepting applications. See http://neuroinformatics.ncl.ac.uk/ for more information about the research environment. Best, Marcus *Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'* Programme Directors: Prof. Stuart Baker, Prof. Tim Griffiths, and Dr Marcus Kaiser The Institute of Neuroscience at Newcastle University integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering. Research in systems, cellular, computational, and behavioural neuroscience. Laboratory facilities include auditory and visual psychophysics; rodent, monkey, and human neuroimaging (EEG, fMRI, PET); TMS; optical recording, multi-electrode neurophysiology, confocal and fluorescence imaging, optogenetics, high-throughput computing and e-science, artificial sensory-motor devices, clinical testing, and the only brain bank for molecular changes in human brain development. The Wellcome Trust's Four-year PhD Programmes are a flagship scheme aimed at supporting the most promising students to undertake in-depth postgraduate research training. The first year combines taught courses with three laboratory rotations to broaden students' knowledge of the subject area. At the end of the first year, students will make an informed choice of their three-year PhD research project. This programme is based at Newcastle University and is aimed to provide specialised training for physical and computational scientists (e.g. physics, chemistry, engineering, mathematics, and computer science) wishing to apply their skills to a research neuroscience career. Eligibility/Person Specification: Applicants should have, or expect to obtain, a 1st or 2:1 degree, or equivalent, in a physical sciences, engineering, mathematics or computing degree. Value of the award: Support includes a stipend for 4 years (£20k/yr tax-free), PhD registration fees at UK/EU student rate, research expenses, general training funds and travel costs. How to apply: You must apply through the University's online postgraduate application form ( http://www.ncl.ac.uk/postgraduate/funding/search/list/IN076 ) inserting the reference number IN076 and selecting 'Master of Research/Doctor of Philosophy (Medical Sciences) - Neuroscience' as the programme of study. Only mandatory fields need to be completed (no personal statement required) and a covering letter, CV and (if English is not your first language) a copy of your English language qualifications must be attached. The covering letter must state the title of the studentship, quote the reference number IN076 and state how your interests and experience relate to the programme. The deadline for receiving applications is 15 January 2015. You should also send your covering letter and CV to Beckie Hedley, Postgraduate Secretary, Institute of Neuroscience, Henry Wellcome Building, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, or by email to ion-postgrad-enq(a)ncl.ac.uk . For more information, see http://www.ncl.ac.uk/ion/study/wellcome/ -- Marcus Kaiser, Ph.D. Associate Professor (Reader) in Neuroinformatics School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www. <http://www.biological-networks.org/>dynamic-connectome.org <http://www.dynamic-connectome.org/> Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/

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Tenure-Line Faculty Position in Applied Mathematics and Statistics
by aamarasingham＠ccny.cuny.edu Nov. 23, 2014

Nov. 23, 2014

Dear Colleagues, The Mathematics department at The City College of New York (CCNY) is hiring two tenure-line faculty this year. At least one of these positions is targeted for applied mathematics, probability, and/or statistics. Interdisciplinary research in Neuroscience is currently a targeted growth area at CCNY and CUNY, so researchers who focus on applications of mathematics or statistics to neuroscience are encouraged to apply. The official closing date for applications is December 31, 2014. See below for the full announcement. Best regards, Asohan Amarasingham The Department of Mathematics of the City College of New York invites applications for one or two tenure-track faculty positions. The positions are primarily targeted at the level of Assistant Professor, but the Associate Professor and Professor ranks will also be possible for outstanding established researchers. The starting date is August 27, 2015. DUTIES & RESPONSIBILITIES Preference for one of the positions will be given to a researcher in probability, statistics and/or applied and computational mathematics. Preference will also be given to applicants working in one or more other areas of current departmental research including number theory, dynamics, group theory, logic, combinatorics, differential geometry, and applied mathematics. Researchers whose areas bridge existing departmental research areas, and exceptional candidates in all areas, will also be considered. Duties will include teaching a range of courses at the undergraduate and graduate levels. The successful applicant will be expected to continue an active research program supported in part by external funding. REQUIREMENTS Requirements include a Ph.D. or equivalent awarded by September, 2015, significant achievements or outstanding potential in research, and evidence of and commitment to excellence in teaching. Candidates with at least two years experience after the Ph.D. degree in a mathematical research or teaching position will be given strong preference. Exceptional candidates with less experience may also be considered. COMPENSATION Commensurate with qualifications and experience. CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY To apply, please submit a C.V. and statements detailing research and teaching interests at CUNY's Employment page (www.cuny.edu, Job-id 11759). In addition to applying on cuny.edu, please submit an application to Math Search, CCNY Math Department, via www.mathjobs.org. The application should include a C.V, publication list, statements detailing research and teaching interests, and four letters of reference, three addressing research and one addressing teaching qualifications. Any difficulties with the application process can be addressed to: Mr. Jason Redman via email to jredman(a)ccny.cuny.edu Or by telephoning (212) 650-5173 CLOSING DATE December 31, 2014, late applications of exceptional candidates may still be considered. EQUAL EMPLOYMENT OPPORTUNITY We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.

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Applied Mathematics Visiting Assistant Professorship, Northwestern University
by Hermann Riecke Nov. 22, 2014

Nov. 22, 2014

Visiting Assistant Professorship in Applied Mathematics The Department of Engineering Sciences and AppliedMathematics at Northwestern University (http://www.esam.northwestern.edu) invites applications for the position of Visiting Assistant Professor in Applied Mathematics. This is a one-year, non-tenure-track position with the possibility of renewal for a second year. Duties involve teaching and research in applied mathematics with a focus on applications in engineering and/or the sciences. More information about this position can be found at: http://www.esam.northwestern.edu/job-openings/index.html. The starting date is September 1, 2015. Outstanding candidates at all levels are encouraged to apply, but preference will be given to junior level candidates. The application package should include a cover letter, curriculum vita, statement of research accomplishments and interests, and statement of teaching experience and philosophy. The application should be submitted online at: https://facultysearch.mccormick.northwestern.edu/apply/index/Njc=. In addition, the applicant should arrange for at least two, but no more than three letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after the names are entered in the online application system. To ensure full consideration, applications should be received by December 1, 2014, but applications will be accepted until the position is filled. Questions may be directed to Lori Choi at esam(a)northwestern.edu (subject line: Visiting Assistant Professor Search). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities.Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States. Engineering Sciences and Applied Mathematics Northwestern University 2145 Sheridan Road, Room M426 Evanston, IL 60208-3125, USA esam(a)northwestern.edu Phone: (847) 491-3345

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Fwd: Master in Cognitive Systems and Interactive Media (Applications Open 24 November)
by INFO CSNETWORK, Bústia Compartida Nov. 21, 2014

Nov. 21, 2014

apologies for double posting! ---------- Forwarded message ---------- From: Pares Burgues, Narcis <narcis.pares(a)upf.edu> Date: 17 November 2014 17:37 Subject: Master in Cognitive Systems and Interactive Media (Applications Accepted) To: CHI-ANNOUNCEMENTS(a)listserv.acm.org * <http://www.upf.edu>* *CSIM - Master in Cognitive Systems and Interactive Media <http://www.upf.edu/csim/>* CSIM's goal is to study and advance the *design, construction* and *deployment* of *advanced autonomous artifacts* that interact in complex physical and social environments, grounded in our understanding of biological, psychological and technological principles. Our CSIM students: - design, construct and deploy interactive artifacts <http://www.upf.edu/csim/information/thesis/> - publish their work in top journals and conferences <http://www.upf.edu/csim/information/thesis/#Publications> - have access to unique infrastructures <http://www.upf.edu/csim/teaching/> - find exciting academic and professional opportunities after the master <http://www.upf.edu/csim/alumni/> - are immersed in an international melting pot: +30 nationalities <http://www.upf.edu/csim/presentation/#International> - exhibit their artifacts at festivals, museums and events <http://www.upf.edu/csim/information/thesis/#Exhibitions> All this in a *culturally and socially rich, modern and dynamic* city as *Barcelona <http://w110.bcn.cat/portal/site/Turisme?lang=en_GB>* and in Universitat Pompeu Fabra <http://www.upf.edu>, the university in Spain with the highest performance per researcher and one of the fastest rising universities in Europe. Master 100% in English *APPLICATIONS OPEN <http://www.upf.edu/postgrau/en/acces-admissio/proces_inscripcio.html#.VGZ5w…> starting November 24* *Narcís Parés Burguès, PhD.* Tenure Associate Professor Cognitive Media Technologies group ICT Department http://cmtech.upf.edu/ Coordinator of CSIM Master http://csim.upf.edu/ [image: Universitat Pompeu Fabra, Barcelona]

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Postdoc in Neuroscience - University of Leicester
by Quian Quiroga, Rodrigo (Prof.) Nov. 21, 2014

Nov. 21, 2014

*** apologies for multiple postings *** Please see below for a post-doc position in our centre. Deadline is this coming Monday. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn www.facebook.com/neuroscienceleicester www.twitter.com/CSNLeics ________________________________________ From: comp-neuro-bounces(a)neuroinf.org [comp-neuro-bounces(a)neuroinf.org] on behalf of Atkinson, Sue [sam45(a)leicester.ac.uk] Sent: Monday, October 27, 2014 3:43 PM To: comp-neuro(a)neuroinf.org Subject: [Comp-neuro] Research Associate in Neuroscience, University of Leicester Dear Colleagues, We are recruiting for a Research Associate here at the Centre for Systems Neuroscience, University of Leicester. You will work on calcium imaging (2-photon) and electrophysiology recordings in mice as part of the research activities of the Centre for Systems Neuroscience. Research will be done in collaboration with the Department of Cell Pharmacology and Physiology (Ian Forsythe). The project aims to use a virtual navigation environment for the head restrained mice to record neuronal activity in the mouse hippocampus whilst the animal performs different tasks. The work will be performed in synergy with experiments done in humans (“concept cells”) to gain a deeper understanding of perception and memory processes. You will contribute to imaging and electrophysiology data collection and analysis, as well as the design of the experiments and overall setup of the system. In particular you will work on the development and optimization of advance methods for the analysis of the data. You will have, or be close to completing, a PhD in an area related to Neuroscience or signal processing (physics, mathematics, engineering, computer sciences). You will also have good programming skills, particularly in Matlab, and ideally you have experience in neurophysiology and imaging recording. Informal enquiries are welcome and should be made to Sue Atkinson on sam45(a)le.ac.uk or 0116 252 3249. The closing date for this post is midnight on 24 November 2014. Click here and search on the reference number SEN00519 for more information and to apply. http://www2.le.ac.uk/offices/jobs/opportunities/jobsearch Sue ------------------------------------------------------------------------------------- Susan Atkinson Centre Manager Centre for Systems Neuroscience, University of Leicester, 9 Salisbury Road, Leicester, LE1 7QR, UK T: +44 116 252 3249 E: sam45(a)le.ac.uk<mailto:sam45@le.ac.uk> W: http://www2.le.ac.uk/centres/csn [cid:image001.jpg@01CFF1FC.B7D361D0] Elite without being elitist Follow us on Twitter<https://twitter.com/uniofleicester> or visit our Facebook<http://www.facebook.com/uniofleicester> page

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PhD in “Characterising motor impairments in autism using computational techniques” at the University of Manchester
by Marcelo Montemurro Nov. 20, 2014

Nov. 20, 2014

sent on behalf of Dr Emma Gowen. PhD in “Characterising motor impairments in autism using computational techniques”. Applications are invited for this fully-funded PhD position (fees and salary) in the lab of Dr Emma Gowen in the Faculty of Life Sciences, University of Manchester Deadline: 26th Nov 2014 Start date: September 2015 Duration: 4 years Eligibility: Candidates must be nationals of the UK or other EU country This project will apply computational and statistical methods to motion tracking data in order to determine the nature of motor impairments in autistic individuals. Autism is a life-long developmental condition that affects how a person communicates and interacts with people. In addition to these social symptoms, autistic individuals have altered motor control such as less accurate eye-hand coordination and abnormal gait patterns causing considerable problems with daily living and social skills. Despite this impact, motor problems are poorly characterised. In this project, computational and statistical methods (e.g. feature extraction, machine learning) will be applied to movement data recorded from autistic and non-autistic people in order to address the following questions: Can motor ability differentiate between autistic and non- autistic groups? Can motor ability be used as a diagnostic marker for autism? Are there different subgroups of motor impairment present in the autistic population? For more details of the project please visit: http://www.ls.manchester.ac.uk/phdprogrammes/projectsavailable/project/?id=… **************************************************** Dr Emma Gowen Senior Lecturer Body, Eyes and Movement (BEAM) lab http://beamlab.lab.ls.manchester.ac.uk/ http://www.dremmagowen.webspace.virginmedia.com/EmmaSite/Home.html http://www.autism.manchester.ac.uk/

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Postdoctoral / doctoral student position in Computational Neuroscience for a Germany – Japan collaborative project: Development of the functional organization in visual cortex.
by Matthias Kaschube Nov. 19, 2014

Nov. 19, 2014

POSITION: The group of Matthias Kaschube at the Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt, Germany, is seeking a highly motivated postdoctoral researcher or doctoral student who will develop and analyze a neural circuit model of mouse visual cortex development. This is for a newly funded joint project with the experimental group of Kenichi Ohki at Kyushu University in Japan. The position will emphasize theoretical and computational work, but an active engagement with neural data analysis is desired. Our aim in this project is to identify the changes in circuitry that underlay the reorganization of visual response properties in mouse visual cortex upon eye opening. The position is available immediately, for up to three years. LAB ENVIRONMENT: The work will be carried out primarily at FIAS, a research institution dedicated to fundamental theoretical research in various areas of science. FIAS hosts state-of-the-art facilities and has tight links to neuroscience centers at the Goethe University, the Max-Planck Institute for Brain Research and the Ernst Strüngmann Institute for Neuroscience. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe and boasts a rich cultural community. Due to the strong interactive nature of this project, short and long-term visits in Kenichi Ohki’s lab are expected. For further information on activities in the Kaschube lab, please visit http://fias.uni-frankfurt.de/neuro/kaschube/ QUALIFICATIONS: Selection criteria include strong mathematical skills and past research accomplishments. Applicants must have received training in a relevant quantitative discipline, e.g. physics, computer science, math, computational neuroscience. Previous experience with neurobiology is advantageous but not essential. APPLYING: Applicants should email a CV to Matthias Kaschube (kaschube(a)fias.uni-frankfurt.de). The position is available immediately, and we look forward to reviewing applications as they arrive. FIAS is dedicated to building a diverse community in its training and employment programs.

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Postdoc Position in Face Recognition with Attributes, at the University of Caen, France
by Frederic Jurie Nov. 19, 2014

Nov. 19, 2014

Postdoc Position in Face Recognition with Attributes, at the University of Caen, France The Computer Vision group of the University of Caen (France) is opening a PhD position starting on the 1st of February 2015. Topic: We are interested in forensic investigation scenarios in which some persons of interest have to be identified using verbal descriptions provided by witnesses (e.g. gender, race, age, etc.). It is well known that, in general, variations in pose, illumination, occlusions, or expression makes face recognition in unconstraint environments very challenging. In this context, we aim at addressing simultaneously the two issues (searching subject by verbal description and building robust face description) by building semantic visual features of a face images that are insensitive to the aforementioned imaging variations and can be used for verbal searches. More precisely, we will investigate potential extensions of the recent works on this topic, such a [1,2,3,4,5,6]. This research will be carried within the context of the ANR/PHYSIONOMIE project; scientific collaborations with the MORPHO company as well as the INRIA/LEAR group are expected. Start date: the 1st of February 2015. Location: The position will be located at the Computer Vision group at the University of Caen. Contacts: Prof. Frederic Jurie (frederic.jurie(a)unicaen.fr) Profile: * Recent Master (preferably in Computer Science, computer vision, machine learning or Applied Mathematics) * Solid programming skills; the project involves programming in Matlab and C++ * Solid mathematics knowledge (especially linear algebra and statistics) * Creative and highly motivated * Fluent in English, both written and spoken Prior knowledge in the areas of computer vision (in particular face recognition or visual attributes), machine learning or data mining is a plus Please send applications via email, including: * a complete CV including a list of publications * graduation marks as well as rank * the name and email address of three references Applications should be sent to Frederic Jurie (frederic.jurie(a)unicaen.fr) Applicants can be asked to do a short assignment in order to demonstrate their research abilities.   References ---------- [1] Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, and Shree K. Nayar. Describable visual attributes for face verification and image search. IEEE PAMI, 33(10):1962–1977, 2011.   [2] Amir Sadovnik, Andrew Gallagher, and Tsuhan Chen. It’s not polite to point: Describing people with uncertain attributes. IEEE CVPR, 2013.   [3] Fengyi Song, Xiaoyang Tan, and Songcan Chen. Exploiting relationship between attributes for improved face verification. Computer Vision and Image Understanding, 122:143–154, 2014.   [4] Ziheng Wang, Yongqiang Li, Shangfei Wang, and Qiang Ji. Capturing global semantic relation-ships for facial action unit recognition. ICCV, 2013.   [5] Lingyun Wen and G. D. Guo. Dual attributes for face verification robust to facial cosmetics. Journal of Computer Vision and Image Processing, 3(1):63–73, 2013.   [6] Michael J. Wilber, Ethan Rudd, Brian Heflin, Yui-Man . M. Lui, and Terrance E. Boult. Exemplar codes for facial attributes and tattoo recognition. In Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on, 2014.  

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4 year post-doc position in UCL, London
by Chait, Maria Nov. 17, 2014

Nov. 17, 2014

A 4 year post-doctoral research associate position is available to work on a European Council-funded project that will use psychophysics, eye tracking and EEG to investigate auditory attention. We aim to understand the brain mechanisms involved in selective attention, and create a brain-machine interface able to identify listeners attentional focus in real time. This research program is part of an international project ("Cognitively controlled Hearing Aid") which includes partners in ENS, France (Shihab Shamma, Alain de Cheveigne, Daniel Pressnitzer), DTU, Denmark (Torsten Dau), UZH, Switzerland (Shih-Chii Liu) and Oticon (Thomas Lunner) . You will be supervised by Dr Maria Chait and based at the UCL Ear Institute (http://www.ucl.ac.uk/ear/research/chaitlab) Salary (inclusive of London allowance) £33,353 - £37,152 per annum Applicants should hold a PhD degree (or equivalent) in an engineering or Neuroscience-related subject and have substantial experience in digital signal processing and computer programming. Previous experience with auditory research and/or functional brain imaging is desirable. For an informal discussion please contact Dr. Maria Chait (m.chait(a)ucl.ac.uk<mailto:m.chait@ucl.ac.uk>). Application should be made via the UCL website: http://www.ucl.ac.uk/hr/jobs/ (Ref:1443980). Application deadline: 07 Dec 2014. Start date: Early 2015. The UCL Ear Institute provides state-of-the-art research facilities across a wide range of disciplines and is one of the foremost centres for hearing, speech and language-related research within Europe. Maria Chait PhD m.chait(a)ucl.ac.uk<mailto:m.chait@ucl.ac.uk> Reader in Auditory Cognitive Neuroscience Lab site: http://www.ucl.ac.uk/ear/research/chaitlab/ UCL Ear Institute 332 Gray's Inn Road London WC1X 8EE

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4 year postdoctoral position at the University of Manchester, Faculty of Life Sciences
by Mark Humphries Nov. 17, 2014

Nov. 17, 2014

Dear comp-neuro (with apologies for cross-posting), We seek a skilled and enthusiastic individual to develop cutting-edge analysis and data-mining techniques for multi-neuron recording data, and apply those techniques to the analysis of extensive data-sets. The successful candidate will join a newly established team that tackles the challenging problems of how to make sense of the deluge of circuit-wide neural activity data, from cortical cell assemblies to invertebrate central pattern generators (http://www.systemsneurophysiologylab.ls.manchester.ac.uk/) The ideal candidate will hold a PhD in a related discipline (e.g. computational neuroscience, computer science, statistics, physics, engineering), have good programming skills, and experience in either neurophysiological data or computational modelling of neural circuits. The position is available from January 2015 for up to 48 months. For more details and to apply please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=8837 Application deadline: 11th December 2014 For all informal inquiries: mark.humphries(a)manchester.ac.uk 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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Postdoc at CU Boulder, Computational Cognitive Neuroscience of Bidirectional Vision
by Randall O'Reilly Nov. 17, 2014

Nov. 17, 2014

Postdoctoral Position Computational Cognitive Neuroscience Lab, University of Colorado Boulder Postdoctoral research position available in the CCN lab at the Department of Psychology & Neuroscience, University of Colorado Boulder (Randall O’Reilly, director), to work on an ONR-funded grant focusing on top-down influences on visual object recognition. This position will focus on developing bidirectional vision models based on the structure and function of the relevant visual areas, including V3, LIP, and FEF interacting with the ventral object recognition pathways in V4 and IT. This is a collaborative project with Tim Curran at CU Boulder (human EEG studies), David Sheinberg at Brown (primate electrophysiology), and Tor Wager (CU Boulder, fMRI) — there is an opportunity to conduct tests of the computational models with these collaborators. Primary qualifications include a PhD in a relevant field, and extensive prior computational modeling experience, preferably in relevant visual domains. The position is available immediately, but the start date is flexible. The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at hr-ada(a)colorado.edu. The University of Colorado Boulder conducts background checks on all final applicants being considered for employment. For further information about the lab, see http://grey.colorado.edu/CompCogNeuro/index.php/CCNLab, and our recent publications in this area: http://grey.colorado.edu/CompCogNeuro/index.php/CCNLab/publications. Feel free to contact randy.oreilly(a)colorado.edu for inquiries. Applicants must submit a CV, a statement of research experience/interests, and a cover letter including email addresses for at least three referees, and one recommendation letters. The other referees will be contacted for letters if needed. Applications will be accepted electronically at https://www.jobsatcu.com/postings/86996 . The job posting # is RF01716 - Randy ---- Dr. Randall C. O'Reilly Professor, Department of Psychology and Neuroscience University of Colorado Boulder 345 UCB, Boulder, CO 80309-0345 303-492-0054 Fax: 303-492-2967 http://psych.colorado.edu/~oreilly

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Nov. 16, 2014

Nov. 16, 2014

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. ** Center for Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] [Graduate studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/] * Andre A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Nava Rubin - Visual perception and the neural basis of vision. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. ** Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] [Graduate studies in Neuroscience across NYU: http://www.neuroscience.nyu.edu/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. ** Psychology, Cognition & Perception program (deadline: 12 December) [http://www.psych.nyu.edu/programs/cp/] * Nathaniel Daw (also in CNS) - Models of decision-making and neuromodulation. * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. ** Mathematics (deadline: 18 December ) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. ** Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/web/Research/Areas/graphicsvisionui.html] * Davi Geiger - Computational vision and learning. * Yann LeCun - machine learning, hierarchical visual processing, robotics. ** Electrical and Computer Engineering, Poly campus, Brooklyn (deadline: 15 December) [http://www.poly.edu/academics/programs/electrical-engineering-phd] * Jonathan Viventi - Brain-computer interfaces and brain recording technologies. ** Economics (deadline: 18 December) [http://econ.as.nyu.edu/page/phd] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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[Call for workshops] IJCNN 2015, Killarney, Irelan, 12-17 july 2015
by Pierre-Yves Oudeyer Nov. 15, 2014

Nov. 15, 2014

Call for Workshops, IJCNN 2015 Deadline: December 15th, 2014 Location: Killarney, Ireland Date of events: 12-17 july 2015 Web: http://www.ijcnn.org/call-for-workshops Post-conference workshops at IJCNN offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2015 will emphasize emerging and growing areas of computational intelligence. Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting. Researchers interested in organizing workshops are invited to submit a formal proposal. A form for submitting proposals is provided on the web-page http://www.ijcnn.org/call-for-workshops Any questions regarding this proposal can be asked to the Workshop Chair: Pierre-Yves Oudeyer, INRIA, France. email: pierre-yves.oudeyer(a)inria.fr Pierre-Yves Oudeyer Inria, France http://www.pyoudeyer.com

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Tenure-track position in vertebrate neurophysiology
by Holmes, William Nov. 15, 2014

Nov. 15, 2014

Tenure-Track Position in Vertebrate Neurophysiology The Neuroscience Program in the Department of Biological Sciences at Ohio University invites applications for a full time tenure-track position in Vertebrate Neurophysiology. Candidates should have expertise in vertebrate electrophysiology, broadly defined, and interests in computational modeling approaches to enable interaction with faculty in Ohio University's interdisciplinary Quantitative Biology Institute (QBI). Candidates who combine electrophysiology and modeling approaches are especially encouraged to apply. Candidates are expected to have a PhD or equivalent degree, relevant postdoctoral training, and evidence of scholarly research. The successful candidate will be expected to develop an independent and vibrant extramurally funded research program, participate in undergraduate and graduate teaching, and mentor undergraduate and graduate students, including those in the Honors Tutorial College Neuroscience major. Primary teaching responsibilities include an upper level/graduate course in Human Neuroscience and a non-majors functional anatomy course, which covers the musculoskeletal system and its control by the nervous system. The application should include a curriculum vitae, a statement of research interests including future plans and a statement of teaching philosophy. Applications must be electronically uploaded to https://www.ohiouniversityjobs.com/postings/11999. In addition, candidates will be asked to key in contact information including email addresses for at least three references. Reference providers will receive an auto-generated email request including a quick-link by which to upload a letter of reference. The position will remain open until filled. For full consideration, applications must be received by January 2, 2015 (11:59 p.m. EST). Ohio University is committed to creating a respectful and inclusive educational and workplace environment. Ohio University is an equal access/equal opportunity and affirmative action employer with a strong commitment to building and maintaining a diverse workforce. Women, persons of color, persons with disabilities, and veterans are encouraged to apply.

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Deadline extension | ALLDATA 2015 || April 19 - 23, 2015 - Barcelona, Spain
by Cristina Pascual Nov. 13, 2014

Nov. 13, 2014

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ALLDATA 2015. The submission deadline is December 8, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ALLDATA 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ALLDATA 2015, The First International Conference on Big Data, Small Data, Linked Data and Open Data April 19 - 23, 2015 - Barcelona, Spain General page: http://www.iaria.org/conferences2015/ALLDATA15.html Call for Papers: http://www.iaria.org/conferences2015/CfPALLDATA15.html Submission page: http://www.iaria.org/conferences2015/SubmitALLDATA15.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: December 8, 2014 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 ALLDATA 2015 Topics (topics and submission details: see CfP on the site) BIG DATA Big data foundations; Big data understanding (knowledge discovery, learning, consumer intelligence); Big data semantics, search and mining; Big data processing and transformations; Big data handling, simulation, visualization, modeling tools, and algorithms; Managing big data (large-scale, integration, etc.); Unknown in large Data Graphs; Reasoning on Big data; Big data analytics for prediction; Applications of Big data (health, financial, social, weather forecasting, etc.; Business-driven Big data; Big data and cloud technologies; Technologies handling Big data; High performance computing on Big data; Big data persistence and preservation; Big data protection, integrity and privacy ; Big data toolkits SMALL DATA Social networking small data; Relationship between small data and big data; Statistics on Small data; Handling Small data sets; Predictive modeling methods for Small data sets; Small data sets versus Big Data sets; Small and incomplete data sets; Normality in Small data sets; Confidence intervals of small data sets; Causal discovery from Small data sets; Deep Web and Small data sets; Small datasets for benchmarking and testing; Validation and verification of regression in small data sets; Small data toolkits LINKED DATA RDF and Linked data; Deploying Linked data; Linked data and Big data; Linked data and Small data; Evolving the Web into a global data space via Linked data; Practical semantic Web via Linked data; Structured dynamics and Linked data sets; Quantifying the connectivity of a semantic Linked data; Query languages for Linked data; Access control and security for Linked data; Anomaly detection via Linked data; Semantics for Linked data; Enterprise internal data 'silos' and Linked data; Traditional knowledge base and Linked data; Knowledge management applications and Linked data OPEN DATA Open data structures and algorithms; Designing for Open data; Open data and Linked Open data; Open data government initiatives; Big Open data; Small Open data; Challenges in using Open data (maps, genomes, chemical compounds, medical data and practice, bioscience and biodiversity); Linked open data and Clouds; Private and public Open data; Culture for Open data or Open government data; Data access, analysis and manipulation of Open data; Open addressing and Open data; Specification languages for Open data; Legal aspects for Open data ---------------------------------- ALLDATA 2015 Chairs Mark Balas, Embry-Riddle Aeronautical University in Daytona Beach, USA Andreas Schmidt, University of Applied Sciences Karlsruhe | Karlsruhe Institute of Technology, Germany Fabrice Mourlin, Universit� Paris-Est Cr�teil Val de Marne, France Dan Tamir, Texas State University, USA Yeh-Ching Chung, National Tsing Hua University, Taiwan Committee: http://www.iaria.org/conferences2015/ComALLDATA15.html ================================================

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Open positions in Computational Neuroscience - visit the Bernstein Network at booth #3235 at SfN 2014!
by Kerstin Schwarzwälder Nov. 13, 2014

Nov. 13, 2014

Dear all, as in past years, the Bernstein Network Computational Neuroscience will exhibit at the SfN Meeting 2014. Please find us at the "Neuroscience in Germany" booth #3235. The exhibition presents the network’s research areas, study and training opportunities and job announcements. We look forward to welcoming you at booth #3235! Best regards, Kerstin Schwarzwaelder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

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[Jobs] Postdoctoral Position in Hong Kong
by Wutao Lou Nov. 12, 2014

Nov. 12, 2014

*Postdoctoral Position in Research Centre for Medical Image Computing at The Chinese University of Hong Kong* Inquiries and applications are invited from highly productive, creative and ambitious young scientists for a Postdoctoral Fellowship Post in the Research Centre of Medical Imaging Computing at The Chinese University of Hong Kong! We are recruiting one highly motivated postdoctoral scientist in the field of neuroimaging to work on the funded project for multimodal neuroimaging (fMRI, DTI, EEG etc.) analysis of the brain network. The post will be available from 1th January 2015 or as soon as possible thereafter for two years with salary around 30,000 HKD/month. The applicant should have a PhD degree in neuroscience, engineering, or related disciplines from world-renowned institutions. Abilities in critical thinking, independent research, and communication with multidisciplinary colleagues are required. Qualified applicants are welcome to send CV to Dr. Defeng Wang dfwang(a)cuhk.edu.hk.

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GENESIS 2.4 final release now available
by Dave Beeman Nov. 12, 2014

Nov. 12, 2014

The November 2014 GENESIS 2.4 release is the first major revision of the GENESIS 2 neural simulator since the "final" release of GENESIS 2.3 in March 2006. Afterwards, development efforts shifted towards GENESIS 3 (G-3), a 21st century neural simulator without the limitations of GENESIS 2 and other simulators that were developed in the late 1980's and 90's. At this point, G-3 is still in the development stage. Although GENESIS 2.3 was intended to be the last release of the GENESIS 2 series, it has continued to used and to evolve, with modifications needed to efficiently implement synaptic plasticity in large networks and many contributions from users. This has made it necessary for a new November 2014 GENESIS 2.4 release. This new release is now avalable for download from the GENESIS 2 website http://genesis-sim.org/GENESIS/. If any of you will be attending SfN, you can find out more about it at my poster 99.09 (TT88) on Sat, Nov. 15, 2014, 1:00 PM - 5:00 PM The GENESIS 2.4 release includes: * The 'stdp_rules' object, documentation, and Scripts for implementing spike timing dependent plasticity in networks of hsolved cells * New network connection commands allow distance-dependent connection probabilities and/or weights, or the use of periodic boundary conditions for network connectivity. * The chemesis library for modeling second messengers and calcium dynamics * Various user-contributed bug-fixes, utilities, and improvements. * A new autoconf-based build system, so that a simple "./configure" command will create the appropriate Makefile. This has been tested under recent Linux and Mac OSX versions. The older method is also available for platforms not supported by autoconf. * HTML indexing in the 'genesis' directory and subdirectories, for easy browsing of the GENESIS directory system and documentation. * New tutorial Scripts for chemesis, gpython-tools, purkinje, stdp_rules, VAnet2 Dave Beeman ---------------------------------------------------------------------------- Prof. David Beeman, GENESIS Users Group email: genesis(a)genesis-sim.org - dbeeman@.colorado.edu GENESIS WWW site: http://www.genesis-sim.org/GENESIS/ ----------------------------------------------------------------------------

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[SfN] Computational Neuroscience Social at SfN on Tuesday, November 18
by viola Nov. 11, 2014

Nov. 11, 2014

Dear Colleagues, We write to call your attention to the upcoming computational neuroscience social at the SfN in Washington, DC next week. ** Join us for an evening with elegant models, great spirits, networking theories, and quadrillions of action potentials! Reunite with old friends, make new ones, mingle with top researchers and special guests, and learn about upcoming CompNeuro events. Everyone is welcome! *Special Guests* William Bialek, Kim Blackwell, Nicolas Brunel, Sophie Deneve,Gaute Einevoll, Boris Gutkin, Kenneth Harris, Dietmar Plenz,John Rinzel, Erik De Schutter, Idan Segev, Friedrich T. Sommer, and Tatjana Tchumatchenko We are pleased to confirm the participation of our guest of honor, *Wilfrid Rall.* ** Please feel welcome to *advertise* your summer schools, conferences, tool boxes, journals, associations, or jobs in the field of computational neuroscience in the form of flyers or posters (sugg. max A3, for jobs max A4, poster boards provided), and/or have representative available for informal discussion. *Location: *Renaissance Washington, DC: Renaissance East *Time:* Tuesday, November 18, 6:45-8:45 PM ** Hope to see you in DC! Eilif Muller Viola Priesemann --- Dr. Eilif Muller EPFL - Blue Brain Project Lausanne, Switzerland http://bluebrain.epfl.ch/page-77926-en.html Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization Goettingen, Germany http://www.nld.ds.mpg.de/people/priesemann -- please use my new e-Mail: viola(a)nld.ds.mpg.de MPI for Dynamics and Self-Organization, Göttingen www.nld.ds.mpg.de/people/priesemann

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Call for Applications: Bernstein Award for Computational Neuroscience 2015
by Kerstin Schwarzwälder Nov. 11, 2014

Nov. 11, 2014

Dear colleagues, I would like to bring to your attention that for the tenth time, the German Federal Ministry of Education and Research (BMBF) has announced an open call for applications for the "Bernstein Award". The "Bernstein Award for Computational Neuroscience" is endowed with up to 1.25 Mio € for a period of five years and allows young scientists of all nationalities to establish an independent research group at a German university or research institution. The BMBF announcement can be found under the following links: German version <http://www.gesundheitsforschung-bmbf.de/de/2476.php> English version <http://www.gesundheitsforschung-bmbf.de/_media/Bernstein_Award_2015_Call_fo…> Posters to announce the Bernstein Award locally can be downloaded from here: German version <http://www.nncn.de/pdfs/poster_ausschreibung_bernsteinpreis2015_de> English version <http://www.nncn.de/pdfs/poster_ausschreibung_bernsteinpreis2015_en> Application deadline is April 15, 2015. Kind regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

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G-Node Winter Course on Neural Data Analysis 2015
by Thomas Wachtler Nov. 11, 2014

Nov. 11, 2014

7th G-Node Winter Course on Neural Data Analysis February 23 - 27, 2015 in Munich, Germany The German Neuroinformatics Node (G-Node) organizes its seventh international training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. The course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods, as well as from students with a theoretical background that have an interest in analyzing physiological data. Participants must have ample programming skills in Matlab or Python. Faculty: Jan Grewe · Eberhard Karls Universität Tübingen Alex Loebel · Ludwig-Maximillians-Universität München and BCCN München Moritz Grosse-Wentrup · Max Planck Institute for Intelligent Systems Tübingen Thomas Wachtler · Ludwig-Maximillians-Universität München and BCCN München Topics: · Short-term plasticity · Spectral analysis · Mutual information · Machine learning · Neural tuning and decoding · Deadline for application: December 19, 2014 For more information visit http://www.g-node.org/dataanalysis-course-2015 With best regards, Jan Grewe (Organizer, Tübingen) and Thomas Wachtler (Local Organizer, Munich)

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Doctoral studies at the Princeton Neuroscience Institute
by Yael Niv Nov. 11, 2014

Nov. 11, 2014

The Graduate Program in Neuroscience at Princeton University offers a unique and intensive program of study spanning molecular, cellular, systems and cognitive neuroscience, followed by advanced research in a world-class Princeton laboratory. We seek highly motivated and creative students in our efforts to understand the brain. A listing of faculty affiliated with the program can be found online at www.princeton.edu/neuroscience, and below. Our doctoral program is flexible and individually-tailored, and we encourage students to pursue research with more than one faculty and across departmental boundaries. Applications for entry in the Fall of 2014 are now being accepted, with a deadline of December 1. For details, including contact information, please visit www.princeton.edu/neuroscience. Michael Berry - Neural computation in the retina William Bialek - Interface between physics and biology Matthew Botvinick - Neural foundations of human behavior Lisa Boulanger - Neuronal functions of immune molecules Carlos Brody - Quantitative and behavioral neurophysiology Tim Buschman - Neural dynamics of cognitive control Jonathan Cohen - Neural bases of cognitive control Lynn Enquist - Neurovirology Liz Gavis - Neural development and mRNA localization in Drosophila Alan Gelperin - Learning, memory and olfaction Asif Ghazanfar - Neurobiology of primate social agents Elizabeth Gould - Neurogenesis and hippocampal function Michael Graziano - Sensorimotor integration Charles Gross - Functions of the cerebral cortex in behavior Uri Hasson - Temporal scales of neural processing Philip Holmes - Mathematical modeling John Hopfield - Computational neurobiology/biophysics Barry Jacobs - Brain monoamine neurotransmitters Sabine Kastner - Neural mechanisms for visual perception Carolyn McBride - Molecular and neural basis of behavioral evolution Mala Murthy - Neurophysiology of olfactory and auditory perception in Drosophila Coleen Murphy - Molecular mechanisms of aging Yael Niv - Reinforcement learning and decision making Ken Norman - Neural bases of episodic memory Jonathan Pillow - Neural information processing, machine learning, and statistical modeling of neural data Sebastian Seung - Structure and function of neural circuits Joshua Shaevits - Neural and behavioral dynamics in simple organisms David Tank - Neural circuit dynamics Jordan Taylor - Motor control and learning Alexander Todorov - Cognitive neuroscience of social cognition and behavior Nicholas Turk-Browne - Cognitive neuroscience of attention, perception and memory Samuel Wang - Dynamics and learning in neural circuits Ilana Witten - Neural circuits underlying reward and motivation

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Faculty positions in applied statistics
by Robert Rosenbaum Nov. 11, 2014

Nov. 11, 2014

Dear colleagues, The ACMS department at Notre Dame is hiring two statistics professors, one tenured and one tenure-track. The department strongly supports interdisciplinary and collaborative research, so researchers who focus on statistical applications in neuroscience are encouraged to apply. Applications should be received by Dec 1. See the full advertisement below. The University of Notre Dame has committed four new faculty positions to the Department of Applied and Computational Mathematics and Statistics (ACMS) to be filled over the next two years. Positions at both the junior and senior level are available. This year we seek to hire a statistician at the tenured level, and a statistician at the tenure-track level, in any areas of research that build on our existing activities. Preference will be given to applicants whose statistical research includes multi-disciplinary collaborations. ACMS includes research groups in applied mathematics, statistics and computational science. The current fourteen faculty members have research interests in Bayesian statistics, statistical bioinformatics and high-dimensional data, finance, statistics in networks and Big Data, multiscale modeling of blood clotting and biofilms, mathematical modeling in cell biology and tumor growth, MEMS, and numerical and computational algorithms and computational neuroscience. ACMS offers a Bachelor of Science, a doctoral degree, a research masters degree and a professional masters degree. ACMS is a member of the College of Science. The successful applicant must have a doctorate in statistics, biostatistics or a closely related field, and a record of success in both research and teaching. The teaching load in ACMS is 3 courses per year, and the position begins in August 2015. Applications received by December 1, 2014 will be given full consideration. Applications, including a cover letter, curriculum vitae and research and teaching statements, should be filed through MathJobs (www.MathJobs.org) Applicants should also arrange for at least three letters of recommendation to be submitted through the MathJobs system. These letters should address the applicant's research accomplishments and supply evidence that the applicant has the ability to communicate articulately and teach effectively. Senior faculty are invited to contact the Department Chair, Steven Buechler, at buechler.1(a)nd.edu, at any time. Notre Dame is an equal opportunity employer, and we particularly welcome applications from women and minority candidates. — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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Physics of Neural Systems focus topic at the 2015 American Physical Society March Meeting, March 2-6, San Antonio, TX
by Ilya Nemenman Nov. 10, 2014

Nov. 10, 2014

Dear Colleagues: This is the final reminder that the 2015 American Physical Society (APS) March meeting (March 2-6, 2015; San Antonio, TX) will emphasize “Physics of Neural Systems” as one of the focus topics supported by the Division of Biological Physics. We expect multiple sessions resulting from this focus topic, addressing recent advances in understanding of the structure and the dynamics of neural circuits responsible for sensing, memory, and motor output. Arguably, in the last few years, we have found out more about the dynamics of neural circuits than we have in all of the previous decades combined. Thus we solicit submissions of contributed presentations to the March meeting, focusing on a broad range of topics on the intersection of physics and neuroscience, such as quantitative experimental protocols, modeling of neural dynamics, analysis of collective computation in neural circuits, and others. The neural focus at the meeting will be anchored by talks by Tatyana Sharpee (Salk Institute) and Christopher Fang-Yen (University of Pennsylvania), among others. March meeting abstract submission website: http://www.aps.org/meetings/march/scientific/index.cfm <http://www.aps.org/meetings/march/scientific/index.cfm> Abstract submission deadline: November 14, 2014, 5:00pm EST While the actual timing of the neuro sessions at the meeting will not be known until December and will depend on the number of qualified submissions, the sessions will be scheduled not to conflict with other computational neuroscience meetings, such as COSYNE. APS March meeting is the largest physics meeting in the world, attracting about 10,000 physicists. At the meeting, the APS Division of Biological Physics supports one of the largest and scientifically diverse programs on the interface of physics and biology, from molecular and cellular biophysics, to computational neuroscience and population dynamics, featuring typically more than 500 talks every year. We are looking forward to receiving your abstracts. If you have any questions about neuroscience at the March Meeting, please don’t hesitate to contact Ilya Nemenman (ilya.nemenman(a)emory.edu <mailto:ilya.nemenman@emory.edu>). Sincerely, Ilya Nemenman Associate Professor of Physics and Biology Emory University, Atlanta, GA and Vice-Chair, Division of Biological Physics (DBIO) American Physical Society (APS) http://nemenmanlab.org <http://nemenmanlab.org/> Biophysicist? Join APS/DBIO and come to the March Meeting!

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Can local inhibition lead to long-range competition?
by Dylan Richard Muir Nov. 10, 2014

Nov. 10, 2014

Dear colleagues, We would like to draw your attention to a recent publication, where we examine the spatial range of competition expected for columnar visual cortex, given known features of cortical anatomy. Reprints are freely available from the author’s homepage (see link below). Models of cortex that assume long-range competition are widespread, although it has long been known through anatomical studies that the spatial extent of inhibition is in fact more restricted than that of excitation. We analyzed straightforward models of interacting cortical columns, and performed simulations of larger models, to show how the spatial scales of excitation and inhibition interact to produce competition through disynaptic inhibition. We found that although disynaptic inhibition is widespread, the presence of competition across the cortical surface is predicted well by the anatomy of direct excitatory and inhibitory coupling. In comparison, the effect of multisynaptic network interactions was very small. This implies that for realistic models of cortex, which should include short-range inhibition and longer-range excitation, the spatial extent of competition is likely to be even narrower than the range of inhibitory connections. Muir and Cook, "Anatomical Constraints on Lateral Competition in Columnar Cortical Architectures", Neural Computation 26 8:1624–1666. Reprints: http://dylan-muir.com/resources/docs/neco_a_00613.pdf Journal: http://dx.doi.org/10.1162/NECO_a_00613 Summary: http://dylan-muir.com/projects/lateral_competition_cortex/ Best regards, Dylan Muir. Dylan Muir | Post-doctoral researcher Biozentrum, University of Basel | Klingelbergstrasse 50/70 | CH-4056 Basel Phone: +41 61 267 17 75 | Email: dylan.muir(a)unibas.ch www.biozentrum.unibas.ch | www.dylan-muir.com

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Postdoctoral position in computational systems neuroscience (sensory processing & decision-making)
by Ralf Haefner Nov. 10, 2014

Nov. 10, 2014

Postdoctoral position in computational systems neuroscience (sensory processing & decision-making) We are looking for a postdoctoral researcher to join 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 machine learning techniques, especially regarding generative models and MCMC-sampling-based probabilistic inference. Possible research projects range from purely theoretical to data-driven. Our collaborations with electrophysiology labs allow for testing of theoretical models using state-of-the-art cortical population recordings in vivo and, if desired, the opportunity to record your own data. More information about past work is available here: http://tinyurl.com/rmhaefner and a preprint of a manuscript representative of future work here: http://arxiv.org/abs/1409.0257 For details on current and possible future projects, and general information, please contact us directly. The successful candidate with join a world-class department with a wide range of research interests ( https://www.bcs.rochester.edu/research/index.html ) and a strong tradition in probabilistic modeling. Start date and duration are flexible. Please send applications including a CV and names of 2-3 references by email. Please contact us as soon as possible if you'd like to meet at the upcoming SfN or NIPS conferences. Ralf Haefner Assistant Professor Brain & Cognitive Sciences University of Rochester (NY) rhaefner(a)bcs.rochester.edu

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Postdoctoral research position: modelling musical preference decisions
by Marcus Pearce Nov. 10, 2014

Nov. 10, 2014

Dear All (with apologies for cross-posting), A postdoc position is available at Queen Mary, University of London as part of an EPSRC-funded project <http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/M000702/1>on predicting musical choices using computational models of cognitive and neural processing. The goal of the project is to understand the cognitive and neural processes involved in musical preference decisions using computational modelling that incorporates the structure of the music, the listener and the listening context. The project also involves behavioural and EEG data collection and analysis using machine learning. Salary: £31,735 - £35,319 per annum Closing date: 14th November 2014 Start date: January 2014 or soon thereafter Duration of post: 14 Months For further information and to apply see: http://music-cognition.eecs.qmul.ac.uk/postdoc.html Marcus -- Lecturer in Sound and Music Processing Queen Mary, University of London Mile End Road, London E1 4NS, UK Tel: +44 (0)20 7882 6207 Web:http://webprojects.eecs.qmul.ac.uk/marcusp Lab:http://music-cognition.eecs.qmul.ac.uk/

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Postdoctoral position in Houston--Multisensory Integration and Visual Perception
by Beauchamp, Michael S Nov. 8, 2014

Nov. 8, 2014

The Beauchamp Lab at the University of Texas Medical School at Houston (http://openwetware.org/wiki/Beauchamp) seeks a postdoctoral fellow for a federally-funded research program. The main focus of the lab is to understand the neural substrates of multisensory integration and visual perception. The laboratory uses multiple techniques, including fMRI and electrocorticography: experience with one of these techniques (or related) is a requirement. Data analysis is carried out with specialized software, including AFNI, EEGlab and Fieldtrip, requiring that applicants be comfortable with writing and modifying C-shell scripts. An interest in computational and quantitative modeling of behavioral and neuroimaging data is an asset. Houston has a rich neuroimaging and neuroscience community, with Rice University, Baylor College of Medicine, and the University of Texas Health Science Center at Houston as partners in the Gulf Coast Consortia for quantitative biomedical sciences. Facilities include multiple research‑dedicated 3 T scanners, a Blackrock Microsystems 128‑channel recording system, infrared eye trackers, and MR-compatible transcranial magnetic stimulation (TMS). The position is available immediately and the review of applications will continue until the position is filled. Please send your CV to beauchamplab(a)gmail.com<mailto:beauchamplab@gmail.com> for an immediate reply.

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Tenure Track Assistant Professor in Theoretical and Computational Neuroscience
by Liu, Robert C Nov. 7, 2014

Nov. 7, 2014

Tenure Track Assistant Professor in Theoretical and Computational Neuroscience The Department of Biology in the Emory College of Arts and Science is seeking applications for a tenure-track position in theoretical and computational neuroscience. Current computational neuroscience research at Emory is anchored in the Department of Biology (http://www.biology.emory.edu<http://http/www.biology.emory.edu/>) and is grounded in experimental preparations and neurobiological questions (http://compneurosci.college.emory.edu) The ideal candidate would be a theorist who bridges into experimental data analysis in systems neuroscience. Innovative approaches to understanding principles of neural coding, neural dynamics, learning, memory, and behavior are of particular interest. The successful candidate is anticipated to have a PhD and postdoctoral experience in a quantitative science, and is expected to contribute to the Biology Department's teaching mission in the context of programs in quantitative theory and methods (http://quantitative.emory.edu) and neuroscience (http://www.nbb.emory.edu) Interactions with experimentalists and other theorists within Emory's rich, collaborative neuroscience community are encouraged. Emory has more than 120 laboratories participating in graduate programs in Neuroscience (http://biomed.emory.edu/PROGRAM_SITES/NS/) and Biomedical Engineering (http://www.bme.emory.edu) and spanning Emory College (Biology, Psychology, Physics, Anthropology), School of Medicine, Yerkes National Primate Research Center and Georgia Institute of Technology. Applications should include a curriculum vitae, a research statement, a teaching statement and three confidential reference letters. Applications and reference letters must be electronically uploaded through Interfolio at http://apply.interfolio.com/25348<http://go.toutapp.com/ecca7f39a80cf3c11e>. The deadline for applying is December 1, 2014; applications received after this date are not guaranteed full consideration. Emory University is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. Women, minorities, persons with disabilities and veterans are encouraged to apply. Robert C. Liu, PhD Associate Professor Winship Distinguished Research Professor Emory University Department of Biology Rollins Research Center 1510 Clifton Road NE, Room 2131 Atlanta, GA 30322 Phone: (404) 727-5274 Fax: (404) 727-2880 Email: robert.liu at emory.edu Website: http://www.biology.emory.edu/research/Liu/html/index.php 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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Faculty position in Information Engineering and Medical Neuroscience, Cambridge
by Máté Lengyel Nov. 7, 2014

Nov. 7, 2014

Faculty position in Information Engineering and Medical Neuroscience Department of Engineering, University of Cambridge, UK Applications are invited for a University Lectureship (~ US Assistant /Professor equivalent) in the Control Group in the Department of Engineering. Exceptional candidates are sought with the potential to develop a record of world-class research commensurate with the Department’s international reputation. The current faculty members in the Cambridge Control Group are: Emeritus Professor Keith Glover, Professor Jan Maciejowski, Professor Rodolphe Sepulchre (Professor of Engineering), Professor Malcolm Smith (Head of Group) and Dr Glenn Vinnicombe (Reader). Candidates will be expected to contribute to undergraduate and graduate teaching in the general area of Control Engineering and possibly other related areas of Information Engineering. The closing date for applications is 9 January, 2015. The interviewing panel will meet soon after the closing date. Short-listed candidates will be invited to visit the Department, give a short seminar/lecture and attend a formal interview. The field of this University Lectureship is at the interface between Information Engineering and Medical Neuroscience. Unprecedented challenges and opportunities exist in this area as a consequence of a fast-developing technology of actuating and sensing devices at the neuronal scale (e.g. neural implants, multi-electrode recordings, and optogenetic techniques). The successful candidate will preferably be working in the field of Control Engineering with a research record in problems of medical neuroscience, and with appropriate theoretical expertise (nonlinear systems). It could be filled by someone whose primary expertise is in a different branch of Information Engineering, but the ability to contribute to teaching in one or more of the ‘core’ areas of Information Engineering (Control, Signal processing, Information theory, etc) will be expected. Medical neuroscience and brain science is a current focus of most national and international funding agencies. Funding opportunities will exist in conjunction with Cambridge Neuroscience. The lectureship will strengthen the Department’s Bioengineering strategic theme. Informal enquiries can be made to Professor Rodolphe Sepulchre (r.sepulchre(a)eng.cam.ac.uk) or Professor Malcolm Smith (mcs(a)eng.cam.ac.uk)

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PhD studies in Comp Neuro and Neural Engineering at the University of Washington
by Adrienne Fairhall Nov. 6, 2014

Nov. 6, 2014

PhD studies in Computational Neuroscience and Neural Engineering at the University of Washington The University of Washington has a rich, active and highly collaborative community of researchers in the field of computational neuroscience (http://compneuro.washington.edu/) and neural engineering. The University of Washington is a vibrant research university with a beautiful campus in a spectacular urban setting, with an ERC Center in Sensorimotor Neural Engineering (http://www.csne-erc.org/) the UW Institute for Neuroengineering (uwin.washington.edu) close connections to the local tech industry and the Allen Institute for Brain Science. UW is also a major data sciences center with interdisciplinary interactions coordinated through the eSciences Institute (http://escience.washington.edu) The city is a short distance from wilderness and outstanding summer and winter outdoor adventure. While faculty advisors belong to a wide range of different departments, researchers come together regularly for seminars, journal clubs and a yearly retreat. Many student funding opportunities exist through multiple training grants, UWIN and the CSNE. Doctoral programs encourage collaborative research projects across departmental boundaries, but admissions and first-year course work and formal requirements are handled by graduate programs individually. Students interested in this area should apply to the program that best fits their background, interests and career goals. Relevant programs, websites and application deadlines include: Neuroscience, http://depts.washington.edu/behneuro/ , Dec 1 Bioengineering, http://depts.washington.edu/bioe/, Dec 1 Computer Science and Engineering, www.cs.washington.edu/, Dec 15 Applied Mathematics, www.amath.washington.edu/, Jan 15 Speech and Hearing, http://depts.washington.edu/sphsc/, Feb 15 Biological Physics, Structure and Design, http://depts.washington.edu/bpsd/, Dec 1 Biology, www.biology.washington.edu/, Dec 1 Faculty include: Wyeth Bair (Neurobiology and Behavior, CSE): Computer modeling of visual cortical circuits Geoff Boynton (Neuro, Psychology): Functional imaging of vision Beth Buffalo (Neuro): Navigation and memory in primates Bing Brunton (Biology and Data Sciences): High dimensional neural data Howard Chizeck (CSE): Performance metrics for neural interfaces Tom Daniel (Neuro, Biology): Sensorimotor integration and flight control Horacio de la Iglesia (Neuro, Biology): Circadian rhythms Marcel den Nijs (Physics): Statistical mechanics of brain function Adrienne Fairhall (Neuro, BPSD, Physics): Adaptive neural coding and sensorimotor integration Eb Fetz (Neuro): Motor control and brain-computer interfaces Ione Fine (Neuro, Psychology): Human visual psychophysics and imaging David Gire (Neuro, Psychology): Mammalian olfaction Bertil Hille (Neuro, BPSD): Biophysics of neuronal signal transduction Greg Horwitz (Neuro): Cortical color processing Nathan Kutz (A Math): Nonlinear dynamics and dimensionality reduction Adrian KC Lee (Neuro, Speech and Hearing): Auditory scene analysis with imaging Chet Moritz (Neuro, Rehabilitation Medicine): Neural prosthetics Sheri Mizumori (Neuro, Psychology): Neurobiology of decisions, learning, and memory Bill Moody (Neuro, Biology): Cortical development Scott Murray (Neuro, Psychology): Visual neuroimaging Jay Neitz (Neuro): Color vision Jeff Ojemann (Neuro, Neurology): Human neural function and neuroprosthetics Anitha Pasupathy (Neuro): Neurobiology of visual shape processing David Perkel (Neuro): Neural mechanisms of vocal learning Steve Perlmutter (Neuro): Motor control Chantal Prat (Neuro, Speech and hearing): Auditory processing Nino Ramirez (Neuro): Neural control of rhythmic activity Rajesh Rao (Neuro, CSE): Computational modeling and brain-computer interfaces Fred Rieke (Neuro, Physics, BPSD): Sensory signal processing in the retina Jeff Riffell (Neuro, Biology): Neuroecology and chemosensation Ed Rubel (Neuro): Development of the auditory system Jay Rubinstein (Neuro, Bioengineering): Biophysics and engineering of cochlear implants Eric Shea-Brown (Neuro, A Math): Nonlinear dynamics in neural computation and coding Bill Spain (Neuro): Biophysics of neuronal computation Kat Steele (Mec Eng): Human movement Emo Todorov (Neuro, A Math, CSE): Optimal motor control

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PhD in Cogn Neuro, Univ of Wisc-Milwaukee
by Adam S Greenberg Nov. 6, 2014

Nov. 6, 2014

Dear Colleagues, Please pass the following information along to your undergraduates who plan to pursue a PhD in Cognitive Neuroscience beginning in the Fall of 2015. Faculty at the University of Wisconsin-Milwaukee (UWM) are actively recruiting graduate students who intend to earn a PhD conducting cognitive neuroscience research. UWM has an extremely energetic & cohesive group of faculty using cognitive neuroscience techniques to study the neural bases of learning & memory, attention, perception, dementia, addiction, anxiety, depression, and motor control. Collectively, our labs form a group of more than 50 faculty, postdocs, graduate students, research scientists, and research assistants all working on cognitive neuroscience at UWM. A major strength of our program is our depth - cognitive neuroscientists at UWM are part of a much broader community of researchers whose interests range from cellular to systems-level neuroscience (see http://www4.uwm.edu/neuroscience for more information about UWM's Neuroscience Program). Labs of the following cognitive neuroscience faculty are currently interested in accepting graduate students: Ira Driscoll, PhD --> Cognitive Neuroscience of Aging Lab (http://www.uwmdriscolllab.com) Adam S. Greenberg, PhD --> Sensory Neuroscience, Attention, & Perception Lab (http://SNAPlaboratory.com<http://snaplaboratory.com/>) Anthony J. Greene, PhD --> Greene Cognitive Neuroscience Lab (http://www4.uwm.edu/people/ag) Deborah Hannula, PhD --> Memory & Brain Lab (https://pantherfile.uwm.edu/hannula/brainlab) Fred Helmstetter, PhD --> Helmstetter Lab (http://pantherfile.uwm.edu/fjh/www/helmlab) Wendy Huddleston, PhD --> Visuomotor Lab (http://www4.uwm.edu/visuomotor) Christine Larson, PhD --> Affective Neuroscience Lab (http://<http://uwmlarsonlab.org/>uwmlarsonlab.org<http://uwmlarsonlab.org/>) Krista M. Lisdahl, PhD --> Brain Imaging & Neuropsychology Lab (http://uwmBraINlab.com<http://uwmbrainlab.com/>) Ali Borji, PhD --> Vision & Learning Lab (http://pantherfile.uwm.edu/borji/www) These labs make use of a large array of tools including fMRI, TMS, eye-tracking, MEG, EEG, DTI, psychophysical methods, and computational modeling. In addition to two existing 3 Tesla MRI scanners, we are also excited about the recent arrival of a research-dedicated 7 Tesla MRI scanner at our partner institution, the Medical College of Wisconsin. Students in our program interact with biophysicists, neurologists, and radiologists through the world-renown Center for Imaging Research: http://www.mcw.edu/CIR/AboutUs/About-the-Center.htm Milwaukee is a vibrant, inexpensive city on the shores of Lake Michigan (90 miles from Chicago) with a thriving urban culture, food, arts & music scene. An award-winning network of parks and biking/hiking trails allow for plentiful outdoor activities during all seasons. Research experience is strongly desirable. Students in good standing typically receive financial support for five years, in the form of research, teaching or fellowship positions. Students are encouraged to contact the above faculty directly by email, and can apply through the graduate programs listed below (depending on the lab they're interested in). NOTE: Please come visit our booth (#41) at SfN 2014 during the Graduate School Fair on 11/15 & 11/16 to talk to one of us about our program and answer any questions you may have. PhD in Experimental Psychology/Neuroscience (applications due December 1, 2014): http://www4.uwm.edu/letsci/psychology/graduate/phdprograms/experimental/ind… PhD in Clinical Psychology (applications due December 1, 2014): http://www4.uwm.edu/letsci/psychology/graduate/phdprograms/clinical/ PhD in Health Sciences/Kinesiology (rolling admissions): http://www4.uwm.edu/chs/academics/phd_health_sciences/ PhD in Computer Science/Engineering (rolling admissions); http://uwm.edu/engineering/academics-2/graduate/doctoral-programs-in-engine… ___________________________ Adam Greenberg, Ph.D. Assistant Professor University of Wisconsin-Milwaukee Department of Psychology P.O. Box 413 Milwaukee, WI 53201 email: agreenb(a)uwm.edu<mailto:agreenb@uwm.edu> Tel. (414) 229-1106 Fax (414) 229-5219 http://www.snaplaboratory.com/ ___________________________

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Postdoctoral Position at the Bernstein Center Freiburg, University of Freiburg, Germany
by Birgit Ahrens Nov. 6, 2014

Nov. 6, 2014

*PostDoc Position in Non-Clinical Epilepsy Research in the Biomicrotechnology lab of Prof. Ulrich Egert* We are currently offering a PostDoc position (2 years) in the Laboratory for Biomicrotechnology (http://www.bcf.uni-freiburg.de/people/details/egert) at the University of Freiburg. The project investigates mechanisms underlying mesiotemporal lobe epilepsy from the perspective of the dysfunction of interaction between subnetworks in the hippocampal formation (Froriep et al. 2012, Epilepsia). We aim to use targeted stimulation to reduce the circuit's susceptibility for seizures. For this project, we are searching for a neurophysiologist to implement a new paradigm for stimulation in a mouse model of epilepsy. It is essential that you have a background in neuroscience, ideally in experimental neurophysiology in vivo as well as a PhD degree. You should further be competent in data analysis and have an affinity for the network perspective. The project is part of the Cluster of Excellence "BrainLinks-BrainTools'' (www.brainlinks.uni-freiburg.de) together with the Bernstein Center Freiburg (www.bcf.uni-freiburg.de) and will combine neurophysiology, computational neuroscience and neurotechnology. *Please apply using our online form at https://yoda.bcf.uni-freiburg.de/* Further details on: www.bcf.uni-freiburg.de/jobs Contact: Dr. Birgit Ahrens Teaching & Training Coordinator Bernstein Center Freiburg Hansastr. 9a 79104 Freiburg, Germany birgit.ahrens(a)bcf.uni-freiburg.de

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[jobs] Post Doctoral Position in Embodied Neural Computation at the University of Southern Denmark in Odense
by poramate＠manoonpong.com Nov. 5, 2014

Nov. 5, 2014

The Embodied AI and Neurorobotics Lab, part of Centre for BioRobotics at the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark, invites applications for a position as postdoc in embodied neural computation. The position is available starting fromMarch2015, or as soon as possible thereafter, for up to two years. Description The recently established Embodied AI and Neurobotics lab aims to 1) develop modular bio-inspired robots and their modular neural mechanisms towards embodied autonomous locomotion systems with adaptivity, energy efficiency, and versatility; 2) understand complex dynamical interactions between physical and computational components in embodied neural closed-loop systems. Recent developments of our embodied (neuro) robotic systems include Locokit robots (<http://locokit.sdu.dk/>) and AMOS hexapod walking robots (<http://manoonpong.com/AMOSII.html>). To further this vision, we are recruiting one highly motivated postdoctoral scientist in the fields of Machine learning, Computational Neuroscience, Embodied AI, and Robotics, to work on neural predictive control for goal-directed learning and multi- scale adaptation. The predictive control will be used for autonomous acoustic navigation and communication of walking robots in complex environments. The successful candidate will be expected to have 1) a PhD degree in electrical engineering and computer science, computational neuroscience, artificial intelligence, physics of complex systems, or a quantitative field, 2) articles published in international peer-reviewed journals documenting experience with embodied neural computation, and 3) strong background on reinforcement learning (such as continuous time actor-critic), artificial neural networks (in particular reservoir computing), nonlinear dynamic systems and robotics (e.g., walking robots), and 4) good programming skills (e.g., C, C++). Additionally, the candidate should have excellent writing skills and be able to work independently. The successful candidate for the position will be affiliated to Centre for BioRobotics at the Maersk Mc-Kinney Moller Institute, the University of Southern Denmark. Applicants should provide a covering letter explaining their approach to the problem of predictive control alluded to above, and at most three articles illustrating their publication record and research interests, in addition to standard items such as CV, full publication list, etc. (see below). Applications will be considered continuously until the position is filled.Contact Information: Further information is available from Assoc. Prof. Poramate Manoonpong, The Maersk Mc-Kinney Moller Institute, Tel: +4565508698, Email: <poma(a)mmmi.sdu.dk>, Website: <http://www.sdu.dk/staff/poma> , <http://www.manoonpong.com> An application must include: * Application * Curriculum Vitae * Certificates/Diplomas (Master's degree certificate and the latest certificate) * Information on previous teaching experience, please attach as Teaching portfolio * List of publications indicating the publications attached * Examples of the most relevant publications. Please attach one pdf-file for each publication, a possible co-author statement must be a part of this pdf-file The University encourages all interested persons to apply, regardless of age, gender, religious affiliation or ethnic background. The full posting can be accessed at <https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?Po…> Please apply online at: <https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationFor…>

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computational neuroscience positions at Sandia National Laboratories
by Chance, Frances S. Nov. 5, 2014

Nov. 5, 2014

Colleagues, We are seeking computational neuroscientists to join our interdisciplinary research program in understanding cognitive function at the neural circuit level. Example research topics of interest include understanding neural circuit function, neural basis of perception, decision-making, learning and memory, and the development and validation of large-scale high-fidelity neural simulations. Multiple positions for varying levels of experience are available. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Type the indicated Job ID into the Keywords box to find the appropriate posting. For questions please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>), Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>), or Glory Emmanuel (gremman(a)sandia.gov<mailto:gremman@sandia.gov>). Applications received by December 19, 2014 will receive full consideration. -- Technical Staff (Job ID 647552): The successful applicant for our technical staff position should have a strong background in neuroscience (as evidenced by a Ph. D. in neuroscience, cognitive science, machine learning, or a related field), and experience with current neuroscience research methods and data analysis. The successful applicant will be expected to contribute to ongoing projects as well as to develop new lines of research and pursue new funding opportunities. Experience should be commensurate with a beginning assistant professor or higher. Postdoctoral Position in Computational Neuroscience (Job ID 647564): An advanced degree (Ph. D. or equivalent) in computational neuroscience or a related area is required for this position, as is a strong record of academic performance and publications. Other required qualifications include competence in C, C++, Matlab, Python, or a related programming language, and excellent written- and oral-communication skills. Postdoctoral Position in Machine Learning/Computer Science (Job ID 647563): An advanced degree (Ph. D. or equivalent) in mathematics or computer science or related area is required for this position; with a preference for those with experience in examining neural computation or developing machine learning approaches based on neural inspiration. Those with focus on mathematics research areas pertinent to neural systems, such as studies of large dynamical systems, high-dimensional statistics, and dimensionality reduction, are particularly encouraged to apply. A strong record of academic performance and publications is required. Other required qualifications include competence in C, C++, Matlab, Python, or a related programming language, and excellent written- and oral-communication skills.

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Last Mile: ADAPTIVE 2015 || March 22 - 27, 2015 - Nice, France
by Cristina Pascual Nov. 4, 2014

Nov. 4, 2014

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ADAPTIVE 2015. The submission deadline is November 18, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ADAPTIVE 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ADAPTIVE 2015, The Seventh International Conference on Adaptive and Self-Adaptive Systems and Applications March 22 - 27, 2015 - Nice, France General page: http://www.iaria.org/conferences2015/ADAPTIVE15.html Call for Papers: http://www.iaria.org/conferences2015/CfPADAPTIVE15.html Submission page: http://www.iaria.org/conferences2015/SubmitADAPTIVE15.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 posted on www.iaria.org] - panels: [slide-deck posted on www.iaria.org] Submission deadline: November 18, 2014 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 ADAPTIVE 2015 Topics (topics and submission details: see CfP on the site) Fundamentals and design of adaptive systems Fundamentals on adaptive and self-adapting systems; Frameworks and architectures for adaptive supporting platforms; Architectures for adaptive applications; Specification of adaptive behavior; Specification of adaptive structures and topologies; Design and implementation of adaptive components; Composition of adaptive behaviors and structures; Adaptive individual and collective behavior and structures; Adaptive deterministic and non-deterministic behavior; Semantic modeling Adaptive entities Adaptive environments; Adaptive hardware configurations; Adaptive software applications; Adaptive protocols; Adaptive algorithms; Adaptive and interactive interfaces; Adaptive filters; Adaptive clock speeds; Adaptive schedulers; Adaptive load balancers Adaptive mechanisms Adaptive real-time strategies; Learning-based adaptive strategies; Adaptive mechanisms (trees, ant algorithms, fuzzy-logic, etc. ); Agent based-adaptive mechanisms; Policy- based adaptation; Feedback-based adaptive systems; Context-aware adaptation; User-aware adaptation Adaptive applications Adaptive artificial intelligence in computer wargames; Intelligent complex adaptive systems; Adaptive virtualization; Adaptive social networks; Adaptive entertainment applications; Adaptive disaster recovery systems; Anticipative adaptive systems; Fault-tolerant adaptive systems; Adaptive ad hoc networks; Application domains, e,g., building (AEC projects, simulation models, facility management), tourism, etc.; Adaptive economic applications (finance, stock exchange, regulatory decisions, etc.); Adaptive vehicular traffic Adaptivity in robot systems Adaptive robot behavior; self-organization and emergence; flexible and reconfigurable robot structures; adaptation in collective and swarm robotics Self-adaptation Theory of self-adaptation and control; Self-adaptive networks, systems, and applications; Self-adaptive services; Self-adaptive behavior and topology/structure; Specification of self-adaptive behavioral control Self-adaptation applications Self-monitoring and self-management; Self-configuration, self-healing, self-management; Self-defense, self-protection, self-diagnosis; Self-adaptation of overlay networks; Self-adaptation in ad hoc sensor networks; Context-aware self-adaptation of networks and services Computational Trust for Self-Adaptive Systems Trust models for adaptive systems; Trust models for self-organizing and autonomics systems; Agent-based trust models for cooperation; Privacy and Security in self-organizing and adaptive systems; Human and social factors involved in trust and adaptation; Applications of trust and security on adaptive systems, with a focus on web-based applications, social networks, social search; Trust models for self-organizing systems of information (wikis, forums, blogs.); Trust and personalisation for enabling adaptation; Models for learning trust and the evolution of trust; Decentralised trust models; Case studies; Theoretical trust models for self-adaptation Metrics for adaptive and self-adaptive systems Stability and convergence; Optimal (self-) adaptation; Accuracy validation of (self-) adaptation; Real-time (self-) adaptive performance Committee: http://www.iaria.org/conferences2015/ComADAPTIVE15.html ================================================

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CFP: Special Issue on Neurobiologically Inspired Robotics: Enhanced Autonomy Through Neuromorphic Cognition
by Jeff Krichmar Nov. 4, 2014

Nov. 4, 2014

Dear Comp-Neuro, I hope some of you will consider submitting to this special issue of Neural Networks. Neurobiologically inspired robotics goes by many names: brain-based devices, cognitive robots, neurorobots, and neuromorphic robots, to name a few. The field has grown into an exciting area of research and engineering. The common goal is twofold: Firstly, developing a system that demonstrates some level of cognitive ability can lead to a better understanding of the neural machinery that realizes cognitive function. The often used phrase, “understanding through building”, implies that one can get a deep understanding of a system by constructing physical artifacts that can operate in the real-world. In building and studying neurobiologically inspired robots, scientists must address theories of neuroscience that couple brain, body, and behavior. Secondly, the deep theoretical understanding of cognition, neurobiology and behavior obtained by constructing physical systems, could lead to a system that demonstrates capabilities commonly found in the animal kingdom, but rarely found in artificial systems, most notably their adaptive and flexible autonomous behavior. There have already been some successes that meet these goals. For example, navigation models based on the hippocampus are now deployed on robots that autonomously explore their environment. Machine image processing systems based on visual cortex have been used in a number of unsupervised recognition and perception applications. Robots designed to address impairments due to disorders such as Alzheimer’s disease, autism spectrum disorder, and attentional deficit disorders, are being used as therapeutic and diagnostic tools without the need for constant caretaker supervision. Despite these successes, the field is still in its infancy and basic research is needed. In particular, we are interested in papers that describe: 1) How models of cognitive functions, such as attention, decision-making, learning and memory, perception, and social cognition can be constructed on physical robots. 2) How the neuromorphic devices, which are designed to run neural algorithms with low-power, can advance the construction of autonomous robotics. 3) How the theoretical and engineering lessons learned from constructing neurobiologically inspired robots can transfer to autonomous robots carrying out practical applications. This Special Issue invites papers that address the three broad topics described above. Topics of interest • Adaptive behavior • Active sensing • Artificial empathy • Cortical computing • Developmental robotics • Embodied Cognition • Neuromorphic Engineering • On-line learning and memory systems • Prediction and planning • Socially assistive robotics Guest Editors Jeffrey Krichmar, University of California, Irvine Minoru Asada, Osaka University Jorg Conradt, Technische Universitat München Important Dates Submission due: 1 Feb 2015 Acceptance notification: 1 Aug 2015 Expected publication: 1 Nov 2015 Submission instructions Each paper for submission should be formatted according to the style and length limit of Neural Networks. Please refer complete Author Guidelines at http://www.elsevier.com/journals/neural-networks/0893-6080/guide-for-authors. Note that published papers and those currently under review by other journals or conferences are prohibited. A separate cover letter should be submitted that includes the paper title, the list of all authors and their affiliations, and information of the contact author. Each paper will be reviewed rigorously, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit their papers directly via the online submission system at http://ees.elsevier.com/neunet/. To ensure that all manuscripts are correctly included into the special issue described, it is important that all authors select “SI: Neurobiological Robotics” when they reach the "Article Type" step in the submission process. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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**Abstract submission deadline THIS FRIDAY 11/07** MURI Winter School Jan. 2015
by Santamaria, Cookie Nov. 4, 2014

Nov. 4, 2014

UCSD and the University of Chicago present: MURI WINTER SCHOOL 2015<http://biocircuits.ucsd.edu/special/winterschool2015> Dynamics of Multifunction Brain Networks Organizers: Henry Abarbanel (UCSD), Timothy Gentner (UCSD), and Daniel Margoliash (Univ. of Chicago) 15th Floor, Building 1, Village West<http://maps.ucsd.edu/mapping/viewer/default.htm?mkey=1&lc=open&km=open&rc=c…>, UC San Diego January 7-9, 2015 Registration deadline: Friday, December 5, 2014 Abstract submission deadline: Friday, November 7, 2014 Lecturers: Tim Gardner<http://people.bu.edu/timothyg/Home.html> (Boston University) – “High density neural recordings in singing birds: methods and observations” Michael Long<http://longlab.med.nyu.edu/> (New York University) – “How does the brain generate behavioral sequences?” Gabriel Mindlin<http://www.lsd.df.uba.ar/> (University of Buenos Aires) – “The biomechanics of birdsong production” and “Low dimensional dynamics systems behind birdsong production” Richard Mooney<http://www.mooneylab.com/> (Duke University) – “Neurobiology of vocal learning” and “Forward mechanisms for hearing and learning” Marc Schmidt<http://www.bio.upenn.edu/people/marc-schmidt> (University of Pennsylvania) – “Brainstem and forebrain contributions to the generation of learned motor” Ofer Tchernichovski<http://ofer.sci.ccny.cuny.edu/> (Hunter College) – “Vocal learning beyond imitation: from cultural evolution to brain dopamine” and “How a song is learned: mechanisms of template matching” ________________________________________________________________________________ This is the third annual Winter School sponsored by the U.S. Office of Naval Research as part of its UCSD/Chicago MURI program in Dynamics of Multifunction Brain Networks. This year’s School presents a series of pedagogical and research oriented talks on the use of birdsong as a model system where theory and experiment can meet productively. It includes a series of pedagogical presentations and a poster session. The School is intended for all researchers, including advanced graduate students, interested in the general area of understanding functional nervous systems. Active participation during the School's lectures is strongly encouraged. All attendees are invited to submit abstracts for poster presentations. Selected contributed posters will be highlighted in an oral session. Registration is required for attendance, but there is no fee for attending. A limited number of travel awards are available for exceptionally qualified graduate students and postdocs, who should apply and have their supervisor send a letter of reference, via email, to muri.winter.school(a)gmail.com<mailto:muri.winter.school@gmail.com>. Please visit us online to register and for details regarding the schedule and poster abstract submission: http://biocircuits.ucsd.edu/special/winterschool2015

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PhD student position in theoretical/ computational neuroscience available in Mannheim, Germany
by Seeger, Simone Nov. 4, 2014

Nov. 4, 2014

A PhD student position in theoretical/ computational neuroscience (German payscale 0.67x E13 TV-L) is available for 3 years initially, starting January 2015 or later, at the Dept. of Theoretical Neuroscience (Head: Prof. Daniel Durstewitz), Bernstein Center for Computational Neuroscience Heidelberg-Mannheim, Central Institute of Mental Health Mannheim, Heidelberg University. The lab focuses on highly data-driven computational models of prefrontal cortical and hippocampal network dynamics underlying higher cognitive function in health and psychiatric disease. Our approach is to estimate (in statistically principled ways) single cell and network models from slice and in-vivo electrophysiological recordings generated in the lab, and then apply these for understanding network function and dysfunction in experimental data (multiple single-unit, behavior) in psychiatrically relevant genetic animal models. Applicants should have a strong mathematical background (dynamical systems and/or statistics / stochastic processes), good programming skills (Matlab, C++), and a keen interest in biological and neural systems. Please send informal inquiries and application documents (cover letter including a brief description of research interests, CV and contact details of two personal references) to Dr. loreen.hertaeg(a)zi-mannheim.de<mailto:loreen.hertaeg@zi-mannheim.de>. *** 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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CfP : TWELFTH INTERNATIONAL CONFERENCE ON MULTIPLE CLASSIFIER SYSTEMS
by Dr. Schwenker Nov. 3, 2014

Nov. 3, 2014

---- PLEASE, APOLOGIZE MULTIPLE COPIES ---- ****************************************** ** MCS 2015 Preliminary Call for Papers ** ****************************************** *****Paper Submission: JANUARY 30, 2015***** ********************************************************************** TWELFTH INTERNATIONAL CONFERENCE ON MULTIPLE CLASSIFIER SYSTEMS Reisensburg Castle (Günzburg, Germany), Ulm University, June 29 - July 1, 2015 http://mcs.diee.unica.it ********************************************************************** MCS 2015 is the twelfth edition of the well-established series of meetings providing the leading international forum for the discussion of issues in multiple classifier systems and ensemble methods. The aim of the workshop is to bring together researchers from diverse communities concerned with this topic, including pattern recognition, machine learning, neural networks, data mining and statistics. MCS 2015 will be held on June 29 - July 1, 2015, at Reisensburg Castle (Günzburg, Germany) research center of the Ulm University. Updated information:http://mcs.diee.unica.it Best regards, MCS 2015 Co-Chairs Friedhelm Schwenker Joseph Kittler Fabio Roli

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PhD in “Fragmented neural processing in Parkinson's disease” at University of Manchester, Faculty of Life Sciences
by Mark Humphries Nov. 3, 2014

Nov. 3, 2014

PhD in “Fragmented neural processing in Parkinson's disease”. Applications are invited for this fully-funded PhD position (fees and salary) in the lab of Dr Mark Humphries in the Faculty of Life Science, University of Manchester Deadline: 12th December 2014 Start date: September 2015 Duration: 3 or 4 years, depending on qualifications Eligibility: Candidates must be nationals of the UK or other EU country This project will pursue the hypothesis that chronic loss of dopamine causes the fragmentation of striatal processing of cortical input. The striatum supports neural populations coding for different actions, forming the basis for action selection. Animal model data has suggested that chronic dopamine loss causes the fragmentation of these populations, mixing together previously well-defined populations (Cho et al 2002 J Comp Neurol). To test this hypothesis, the candidate will develop our existing large-scale model of the striatal network (Humphries et al, 2010, PLoS Comput Biol) and combine it with a newly-developed model of dopamine-dependent plasticity at cortical synapses onto striatal neurons (Gurney et al, PLoS Biol, in press). The project will then test aspects of the hypothesis: Does fragmentation occur via changes to network excitability or to plastic change to network inputs? Does fragmentation cause the breakdown of action selection and therefore the observed motor symptoms? And why is 80% loss of dopamine necessary for this to occur? For more details of the project please visit: http://www.ls.manchester.ac.uk/phdprogrammes/projectsavailable/project/?id=… For details of the application and interview process see: http://www.mhs.manchester.ac.uk/postgraduate/mhs-graduate-school/mrcdtp/stu… Informal enquiries: mark.humphries(a)manchester.ac.uk<mailto:mark.humphries@manchester.ac.uk> 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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Assistant or Associate Professor, Data Analytics
by Guerra, Erick J. Nov. 1, 2014

Nov. 1, 2014

Assistant or Associate Professor, Health or Biomedical Data Analytics Rowan University is a comprehensive state-designated research institution with approximately 15,000 students. Its main campus is located in Glassboro, N.J., 20-miles southeast of Philadelphia, and it has a branch campus and medical school in Camden and a second medical school in nearby Stratford. Rowan is the second university in the country to offer M.D. and D.O. medical-degree granting programs. The School of Osteopathic Medicine has a faculty practice plan that serves approximately 200,000 patients in Southern New Jersey. The institution is also home to the South Jersey Technology Park, which fosters the translation of applied research into commercial products and processes. Its business incubator also supports that mission. The University boasts seven colleges–Rohrer College of Business and colleges of Communication and Creative Arts, Education, Engineering, Humanities and Social Sciences, Performing Arts, and Science and Mathematics. The Department of Biomedical & Translational Sciences in the School of Biomedical Science & Health Professions invites applications for a tenure-track Associate or Assistant Professor position in the field of Health or Biomedical Data Analytics starting September 1, 2015. A Ph.D. in Data Analytics or related field is required. The successful candidate will assume a leadership role in the newly established Data Analytics programand is expected to develop an externally-funded research program in Health or Biomedical Data Analytics that involves undergraduate and/or graduate (MS) students. Applications are encouraged from candidates with a successful record of research in one of the following areas: medical informatics, genomic or proteomic data mining, systems biology, translational bioinformatics. Candidates with a background in industry settings are also encouraged to apply. The Department of Biomedical & Translational Sciences is the home for new interdisciplinary biomedical initiatives and welcomes its first cohort of students pursuing a BS in Translational Biomedical Sciences in Fall 2014. Many faculty-members in the Department of Biomedical & Translational Sciences have joint appointments with the College of Science and Mathematics, and there are opportunities to collaborate with both the allopathic and osteopathic medical schools at Rowan University. The College of Science & Mathematics currently offers related BS degrees in Biological Sciences, Biochemistry, Biophysics, and Bioinformatics, in addition to MS degrees in Pharmaceutical Science and Bioinformatics. The Master of Science in Data Analytics with a specialization in Health Data Analytics is housed in the College of Science & Mathematics with stakeholders spanning several colleges and schools at Rowan University. The successful candidate will develop and implement new interdisciplinary curricula in both Data Analytics and Translational Biomedical Sciences. Teaching responsibilities will include courses in Translational Biomedical Sciences, graduate courses in Data Analytics, and potentially other discipline specific courses falling under these programs. The application must be submitted through our online application system (http://rowanuniversity.hodesiq.com/jobs/assistant-associate-professor-healt…) as a single file (PDF format) containing a curriculum vitae, a detailed description of research interests and plans, a statement of teaching philosophy, and graduate transcripts (copies acceptable). Three letters of recommendation should be sent via email directly to Ms. Shelly Klink (klink(a)rowan.edu<mailto:klink@rowan.edu>). The application deadline is November 15, 2014. Rowan University values diversity and is committed to equal opportunity in employment. Candidates must demonstrate authorization to work in the United States. All positions are contingent upon budget appropriations.

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Call for Papers - Neural Networks special issue on Big Data
by Asim Roy Nov. 1, 2014

Nov. 1, 2014

Apologies for cross posting. Special Issue on Neural Network Learning in Big Data [Special Issue on Neural Network Learning in Big Data] Neural Networks Special Issue: Neural Network Learning in Big Data Big data is much more than storage of and access to data. Analytics plays an important 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 encounter theoretical challenges in scaling up to big data. Plus there are challenges of high dimensionality, velocity and variety for all types of machine learning algorithms. 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. The brain is arguably the best and most elegant big data processor and is the inspiration for neural network learning methods. Neural network 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 for stored big data. For stored big data, neural network algorithms can learn from all of the data instead of from samples of the data. And the same is true for streaming data where not all of the data is actually stored. In general, online, incremental learning algorithms are less vulnerable to size of the data. Neural network algorithms, in particular, can take advantage of massively parallel (brain-like) computations, which use very simple processors, that other machine learning technologies cannot. Specialized neuromorphic hardware, originally meant for large-scale brain simulations, is becoming available to implement these algorithms in a massively parallel fashion. Neural network algorithms, therefore, can deliver very fast and efficient real-time learning through the use of hardware and this could be particularly useful for streaming data in the Industrial Internet. Neural network technologies thus can become significant components of big data analytics platforms and this special issue will begin that journey with big data. For this special issue of Neural Networks, we invite papers that address many of the challenges of learning from big data. In particular, we are interested in papers on 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 online learning to solve real-world big data problems (e.g. health care, transportation, and electric power and energy management). RECOMMENDED TOPICS: Topics of interest include, but are not limited to: 1. Autonomous, online, incremental learning - theory, algorithms and applications in big data 2. High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data 3. Scalable neural network algorithms for big data 4. Neural network learning algorithms for high-velocity streaming data 5. Deep neural network learning 6. Neuromorphic hardware for scalable neural network learning 7. Big data analytics using neural networks in healthcare/medical applications 8. Big data analytics using neural networks in electric power and energy systems 9. Big data analytics using neural networks in large sensor networks 10.Big data and neural network learning in computational biology and bioinformatics SUBMISSION PROCEDURE: Prospective authors should visit http://ees.elsevier.com/neunet/ for information on paper submission. During the submission process, there will be steps to designate the submission to this special issue. However, please indicate on the first page of the manuscript that the manuscript is intended for the Special Issue: Neural Network Learning in Big Data. Manuscripts will be peer reviewed according to Neural Networks guidelines. Manuscript submission due: December 15, 2014 First review completed: March 1, 2015 Revised manuscript due: April 1, 2015 Second review completed, final decisions to authors: April 15, 2015 Final manuscript due: April 30, 2015 GUEST EDITORS: Asim Roy, Arizona State University, USA (asim.roy(a)asu.edu<mailto:asim.roy@asu.edu>) (lead guest editor) Kumar Venayagamoorthy, Clemson University, USA (gkumar(a)ieee.org<mailto:gvenaya@clemson.edu>) Nikola Kasabov, Auckland University of Technology, New Zealand (nkasabov(a)aut.ac.nz<mailto:nkasabov@aut.ac.nz>) Irwin King, Chinese University of Hong Kong, China (irwinking(a)gmail.com<mailto:irwinking@gmail.com>)

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