- Comp-neuro - lists.cnsorg.org

postdoc in social learning in Collective Decision-making
by Peter Latham 17 Mar '14

17 Mar '14

Applications are invited for a Postdoctoral Research Assistant at the Institute of Cognitive Neuroscience, University College London. The postdoc will be jointly supervised by Peter Latham (Gatsby Unit) and Bahador Bahrami (Institute of Cognitive Neuroscience). The goal of the project is to develop and test computational models of social learning and collective decision-making. This will build on our previous work in collective decision-making (Bahrami et al: Science 329:1081-1085, 2010; J Exp Psychol Hum Percept Perform 38:3–8, 2012; Phil Trans R Soc B 367:1350-1365, 2012), and will form the basis of model-based fMRI analysis. Salary: £32,699 - £39,523 per year Duties and Responsibilities: The successful candidate will carry out research in the area of social collective decision-making and emergent crowd behaviour, with specific focus on computational and social/cognitive neuroscience. S/he will develop and test computational models of social learning and collective decision-making, implement and run behavioural experiments, perform analysis of data, and prepare reports of the research for publication in peer reviewed international scientific journals. The work will require a strong computational background, and the successful candidate should have a reasonable subset of the following: - PhD (or close to a PhD) in computer science, computational neuroscience, or cognitive neuroscience. - Knowledge of computational neuroscience, behavioural economics, or big-data analysis. - Experience in statistics or machine learning. - Experience in the analysis of behavioural and functional imaging data. - Programming skills in MATLAB or similar languages. - Effective written and verbal communication skills. - Experience working in a research environment. - Ability and/or experience in programming web-based and smartphone applications. If interested, send a CV and a very brief cover letter to Bahador Bahrami <bbahrami(a)gmail.com>

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PhD in image analysis for behavioural tracking
by Mark Humphries 17 Mar '14

17 Mar '14

Posted on behalf of Dr Robyn Grant: Applications are sought for a 3 year, fully-funded PhD position (UK & EU nationals) in the lab of Dr Robyn Grant at Manchester Metropolitan University, UK. Title: "Indicators of Neurodegenerative Disease revealed through Animal Behaviour: open source toolbox development for measurement of disease progression." Summary: A multi-disciplinary project developing image analysis tools for objective, non-invasive assessment of animal behaviour. In particular, the project will focus on developing methods to quantify changes in patterns of locomotion and whisker movements resulting from neurodegenerative disorders such as Motor Neuron Disease, Huntingdon's Disease and ageing. Candidates must have good programming skills (e.g. Matlab) and a strong motivation for research. Expertise of developing image analysis algorithms would be desirable, with an interest in animal behavior. The student will also receive training on image processing techniques and software development, alongside collecting animal behavior data. For more details and to apply: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=53553&LID=1837 For all inquiries, contact Dr Robyn Grant: Robyn.Grant(a)mmu.ac.uk -- Dr M D Humphries MRC Senior Non-Clinical Research Fellow @ Faculty of Life Sciences, University of Manchester, UK Honorary Research Fellow @ Department of Psychology, University of Sheffield, UK http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

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two listings
by Levin Kuhlmann 16 Mar '14

16 Mar '14

Dear comp-neuro, I have two submissions for listing on comp-neuro. They are pasted below. Cheers, Levin Kuhlmann, PhD Centre for Neural Engineering Department of Electrical and Electronic Engineering The University of Melbourne Parkville VIC 3010 & Brain Dynamics Lab Brain and Psychological Sciences Research Centre Swinburne University of Technology Hawthorn VIC 3122 Australia Ph: +61412552283 Email: levink(a)unimelb.edu.au<mailto:levink@unimelb.edu.au> Submission 1: 10 PhD scholarships in the ARC Training Centre in Biodevices The ARC Training Centre in Biodevices at Swinburne University of Technology in Melbourne Australia has 10 PhD scholarships on offer for motivated and capable students to enter its advanced PhD program designed to develop future leaders in the medical device industry. Participants will be outstanding students drawn from the disciplines of engineering, science, medicine, design and ICT, or recent graduates with relevant business or technology innovation experience. Students will have the opportunity to participate in a structured three year PhD program that links their core research activities with skills development in areas relevant to the medical device industry. Students will spend at least one third of their time within industry environments. In addition, students will also have the opportunity to take units from Swinburneâ€™s Masters in Entrepreneurship and Innovation during their first year. With respect to neural engineering, potential projects lie in the applications of the development of software and/or hardware for electroencephalography-based depth of anaesthesia monitoring, such as dry electrodes, or the development of implantable bionic devices to better diagnose and treat epilepsy. Information can be found at the following links: http://www.swinburne.edu.au/biodevices/ http://www.swinburne.edu.au/science-engineering-technology/biodevices/postg… The deadline to apply is March 31st 2014. International students are required to sit an IELTS test (or equivalent, e.g. TOEFL) with an average band score of at least 6.5, with no band less than 6.0. Swinburne also strongly encourages minorities and women to apply. Interested applicants should email Prof. David T. J. Liley at dliley(at) swin.edu.au. -- Prof David Liley ARC Training Centre in Biodevices and Brain and Psychological Sciences Research Centre Swinburne University of Technology P.O. Box 218 Hawthorn VIC 3122 Australia ph: +61 3 9214 8812 Submission 2: Seeking PhD student to study human brain networks underlying anaesthesia and consciousness The Brain Dynamics Unit in the Brain and Psychological Sciences Research Centre at the Swinburne University of Technology is seeking a motivated and capable PhD student to work on the functional neuroimaging of anaesthetic action. The planned project, to be performed in collaboration with anaesthetists, will involve the administration of the dissociative anaesthetic agents xenon (a noble gas) and nitrous oxide ('laughing gas') to healthy participants while simultaneous MEG and EEG is recorded. The induced changes in the functional architecture of the recorded electromagnetic activity will then be characterised using a range of existing and to be developed information theoretic, graph theoretic and non-linear methods. Attempts to account for any induced changes in terms of mean field/mass action models of brain electrical activity will be investigated. The dissociative anaesthetic agents are of particular interest because they are reported to increase activity in the brain in addition to targeting glutamatergic neurotransmitter systems implicated in the pathogenesis of a number of psychiatric and neurological disorders. The position is suitable for those entering the field of neuroscience from other appropriate backgrounds - e.g., from theoretical physics - since comprehensive skills in applied mathematics and scientific programming are required. In this case the necessary neuroscience training will be provided "on the job" during the first year. Interested applicants should have a strong background in any of the following disciplines: theoretical physics, mathematics, biomedical or electrical engineering or quantitative biology. A first class honours degree or equivalent is required with proficiency in more than one of the following: C, Fortran, Python or Matlab Researchers in the unit, led by Prof David Liley, have developed a physiologically motivated theory of the dynamical genesis of the electroencephalogram (EEG). The model accounts for the rhythms of the human EEG and predicts their alteration by a range of pharmaceutical agents, in particular that of anaesthetic and sedative agents. Numerical solutions of the model's coupled set of non-linear partial differential equations have revealed spatio-temporal structures similar to those observed in experiment. It is hoped that this model can contribute to our understanding of how anaesthetic agents modulate brain activity. The Brain Dynamics group is part of the Brain and Psychological Sciences Research Centre (BPsyC), a vibrant, multi-disciplinary team of researchers whose expertise spans several different fields that include physics, psychology, psychophysiology, biophysics and the neurosciences. The BPsyC has among the most comprehensive suite of functional neuroimaging facilities available in Australia. These facilities include a 306 channel Elekta TRIUX MEG system, a Siemens 3T TIM Trio MRI and multiple high density EEG systems. A range of scholarships for national and international students are available, at up AUD 24,653 per year for three and a half years, tax-free. The deadline for applications is the 30th May 2014. More details on the application process can be found at http://www.research.swinburne.edu.au/research-students/scholarships/. International students are required to sit an IELTS test (or equivalent, e.g. TOEFL) with an average band score of at least 6.5, with no band less than 6.0. Swinburne also strongly encourages minorities and women to apply. Interested applicants should email Prof. David T. J. Liley at dliley(at) swin.edu.au. -- Prof David Liley Brain and Psychological Sciences Research Centre Swinburne University of Technology P.O. Box 218 Hawthorn VIC 3122 Australia ph: +61 3 9214 8812

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Cognitive Computation journal (Springer): Table of Contents, Vol.6, No.1 / Mar 2014 Issue
by Dr Amir Hussain 15 Mar '14

15 Mar '14

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 6, No.1 / March 2014 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 The individual list of published articles (Table of Contents) for this Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/6/1/ You may also be interested in the journal's Seminal Special Issue (Sep 2013 Issue): In Memory of John G Taylor: A Polymath Scholar, by Guest Editors: Vassilis Cutsuridis and Amir Hussain (the Guest Editorial is available here: http://link.springer.com/content/pdf/10.1007%2Fs12559-013-9226-z.pdf and full listing of articles can be found at: http://link.springer.com/journal/12559/5/3/page/1) A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer.com/biomed/neuroscience/journal/12559?hideChart=1#realt… Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ======================================================= NEW: ISI Impact Factor for Cognitive Computation of 0.867 for 2012 (5 year IF: 1.137) ======================================================= As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation also received its first Impact Factor of 1.0 (Thomson Reuters Journal Citation Reports® 2011) in 2011 0.867(Thomson Reuters Journal Citation Reports® 2011) in 2012 ============================================ Reminder: New Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has over 700 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Dr. Martijn Roelandse: martijn.roelandse(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - five are already planned for 2014-15 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) --------------------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 6 No 1, Mar 2014 --------------------------------------------------------------------------------------------------------------- A Computational Cognitive Model of Information Search in Textual Materials Myriam Chanceaux , Anne Guérin-Dugué , Benoît Lemaire & Thierry Baccino http://link.springer.com/article/10.1007/s12559-012-9200-1 Artificial Development of Biologically Plausible Neural-Symbolic Networks Joe Townsend , Ed Keedwell & Antony Galton http://link.springer.com/article/10.1007/s12559-013-9217-0 BrainSpace: Relating Neuroscience to Knowledge About Everyday Life Newton Howard & Henry Lieberman http://link.springer.com/article/10.1007/s12559-012-9171-2 Taxonomical Associative Memory Diogo Rendeiro , João Sacramento & Andreas Wichert http://link.springer.com/article/10.1007/s12559-012-9198-4 Searching the Hyper-heuristic Design Space Jerry Swan , John Woodward , Ender Özcan , Graham Kendall & Edmund Burke http://link.springer.com/article/10.1007/s12559-013-9201-8 Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples Blerim Emruli & Fredrik Sandin http://link.springer.com/article/10.1007/s12559-013-9206-3 Characteristic Analysis of Bioinspired Pod Structure Robotic Configurations Azfar Khalid , Samir Mekid & Aamir Hussain http://link.springer.com/article/10.1007/s12559-013-9210-7 A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language Michal Vavrečka & Igor Farkaš http://link.springer.com/article/10.1007/s12559-013-9212-5 Toward a Formal, Visual Framework of Emergent Cognitive Development of Scholars Amir Hussain & Muaz Niazi http://link.springer.com/article/10.1007/s12559-013-9219-y Region-Based Artificial Visual Attention in Space and Time Jan Tünnermann & Bärbel Mertsching http://link.springer.com/article/10.1007/s12559-013-9220-5 --------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 -------------------------------------------------------------------------------------------- The University of Stirling is ranked in the top 50 in the world in The Times Higher Education 100 Under 50 table, which ranks the world's best 100 universities under 50 years old. The University of Stirling is a charity registered in Scotland, number SC 011159. -- The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*. 94% of our 2012 graduates were in work and/or further study within six months of graduation. *The Telegraph The University of Stirling is a charity registered in Scotland, number SC 011159.

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Deadline extension, April 12 || ADVCOMP 2014 || August 24 - 28, 2014 - Rome, Italy
by Cristina Pascual 14 Mar '14

14 Mar '14

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ADVCOMP 2014. The submission deadline is April 12, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ADVCOMP 2014 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ADVCOMP 2014, The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences August 24 - 28, 2014 - Rome, Italy Submission page: http://www.iaria.org/conferences2014/SubmitADVCOMP14.html General page: http://www.iaria.org/conferences2014/ADVCOMP14.html Call for Papers: http://www.iaria.org/conferences2014/CfPADVCOMP14.html Contributions: - regular papers - short papers (work in progress) - posters - ideas - presentations - demos - doctoral forum submissions Proposals for: - symposia - workshops Submission deadline: April 12, 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 conform with the Editorial rules: http://www.iaria.org/editorialrules.html ADVCOMP 2014 Topics (topics and submission details: see CfP on the site) Advances on computing theories Finite-state machines; Petri nets /stochastic/colored/probabilistic/etc; Genetic algorithms; Machine learning theory; Prediction theory; Bayesian theory /statistics/filtering/estimation/reasoning/rating/etc; Markov chains/process/model/etc; Graphs theories Advances in computation methods Hybrid computational methods; Advanced numerical algorithms; Differential calculus; Matrix perturbation theory; Rare matrices; Fractals & super-fractal algorithms; Random graph dynamics; Multi-dimensional harmonic estimation Computational logics Knowledge-based systems and automated reasoning; Logical issues in knowledge representation /non-monotonic reasoning/belief; Specification and verification of programs and systems; Applications of logic in hardware and VLSI; Natural language, concurrent computation, planning; Deduction and reasoning; Logic of computation; Dempster-Shafer theory; Fuzzy theory/computation/logic/etc Advances on computing mechanisms Clustering large and high dimensional data; Data fusion and aggregation; Biological sequence analysis; Biomecatronics mechanisms; Biologically inspired mechanisms; System theory and control mechanisms; Multi-objective evolutionary algorithms; Constraint-based algorithms; Ontology-based reasoning; Topology and structure patterns; Geometrical pattern similarity; Strong and weak symmetry; Distortion in coordination mechanisms Computing techniques Distributed computing; Parallel computing; Grid computing; Autonomic computing; Cloud computing; Development of numerical and scientific software-based systems; Pattern-based computing; Finite-element method computation; Elastic models; Optimization techniques; Simulation techniques; Stream-based computing Resource intensive applications and services (RIAS) Fundamentals on RIAS; Basic algorithms for RIAS; Communications intensive; Process intensive; Data-intensive computing; Operational intensive; Cloud-computing intensiveness; User intensive; Technology intensive; Control intensive; Complex RIAS; Bioinformatics computation; Large scale ehealth systems; Pharmaceutical/drug computation; Weather forecast computation; Earthquake simulations; Geo-spatial simulations; Spatial programs; Real-time manufacturing systems; Transportation systems; Avionic systems; Economic/financial systems; Electric-power systems Computational geometry Theoretical computational geometry; Applied computational geometry; Design and analysis of geometric algorithms; Design and analysis of geometric algorithms and data structures; Discrete and combinatorial geometry and topology; Data structures (Voronoi Diagrams, Delaunay triangulations, etc.); Experimental evaluation of geometric algorithms and heuristics; Numerical performance of geometric algorithms; Geometric computations in parallel and distributed environments; Geometric data structures for mesh generation; Geometric methods in computer graphics; Solid modeling; Space Partitioning; Special applications (animation of geometric algorithms, manufacturing, computer graphics and image processing, computer-aided geometry design, solid geometry) Interdisciplinary computing Computational /physics, chemistry, biology/ algorithms; Graph-based modeling and algorithms; Computational methods for /crystal, protein/ structure prediction; Computation for multi-material structure; Modeling and simulation of large deformations and strong shock waves; Computation in solid mechanics; Remote geo-sensing; Interdisciplinary computing in music and arts Cloud computing Hardware-as-a-service; Software-as-a-service [SaaS applicaitions]; Platform-as-service; On-demand computing models; Cloud Computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Privacy, security, ownership and reliability issues; Performance and QoS; Dynamic resource provisioning; Power-efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large-scale compute infrastructures; Managing applications in the clouds; Data centers; Process in the clouds; Content and service distribution in Cloud computing infrastructures; Multiple applications can run on one computer (virtualization a la VMWare); Grid computing (multiple computers can be used to run one application); Cloud-computing vendor governance and regulatory compliance Grid Networks, Services and Applications GRID theory, frameworks, methodologies, architecture, ontology; GRID infrastructure and technologies; GRID middleware; GRID protocols and networking; GRID computing, utility computing, autonomic computing, metacomputing; Programmable GRID; Data GRID; Context ontology and management in GRIDs; Distributed decisions in GRID networks; GRID services and applications; Virtualization, modeling, and metadata in GRID; Resource management, scheduling, and scalability in GRID; GRID monitoring, control, and management; Traffic and load balancing in GRID; User profiles and priorities in GRID; Performance and security in GRID systems; Fault tolerance, resilience, survivability, robustness in GRID; QoS/SLA in GRID networks; GRID fora, standards, development, evolution; GRID case studies, validation testbeds, prototypes, and lessons learned Computing in Virtualization-based environments Principles of virtualization; Virtualization platforms; Thick and thin clients; Data centers and nano-centers; Open virtualization format; Orchestration of virtualization across data centers; Dynamic federation of compute capacity; Dynamic geo-balancing; Instant workload migration; Virtualization-aware storage; Virtualization-aware networking; Virtualization embedded-software-based smart mobile phones; Trusted platforms and embedded supervisors for security; Virtualization management operations /discovery, configuration, provisioning, performance, etc.; Energy optimization and saving for green datacenters; Virtualization supporting cloud computing; Applications as pre-packaged virtual machines; Licencing and support policies Development of computing support Computing platforms; Advanced scientific computing; Support for scientific problem-solving; Support for distributed decisions; Agent-assisted workflow support; Middleware computation support; High performance computing; Problem solving environments; Computational science and education; Neuronal networks Computing applications in science Advanced computing in civil engineering; Advanced computing in physics science; Advanced computing in chemistry science; Advanced computing in mathematics; Advanced computing in operation research; Advanced computing in economics; Advanced computing in electronics and electrical science; Advanced computing on Earth science, geosciences and meteorology Complex computing in application domains Computation genomic; Management of scientific data and knowledge; Advanced computing in bioinformatics and biophysics; Advanced computing in molecular systems and biological systems; Application of engineering methods to genetics; Medical computation and graphics; Advanced computing in simulation systems; Advanced computing for statistics and optimization; Advanced computing in mechanics and quantum mechanics; Advanced computing for geosciences and meteorology; Maps and geo-images building; Curve and surface reconstruction; Financial computing and forecasting; Advanced computing in robotics and manufacturing; Advanced computing in power systems; Environmental advanced computing --------------------------------- Committee: http://www.iaria.org/conferences2014/ComADVCOMP14.html ADVCOMP Advisory Chairs Chih-Cheng Hung, Southern Polytechnic State University, USA Juha R�ning, Oulu University, Finland Sigeru Omatu, Osaka Institute of Technology, Japan Erich Schweighofer, University of Vienna, Austria Paul Humphreys, University of Ulster, UK Danny Krizanc, Wesleyan University, USA Ivan Rodero, Rutgers University - Piscataway, USA Ali Shawkat, CQ University of Australia - North Rockhampton, Australia George Spanoudakis, City University London, UK Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Jerry Trahan, Louisiana State University, USA Dean Vucinic, Vrije Universiteit Brussel (VUB), Belgium Rudolf Berrendorf, Bonn-Rhein-Sieg University, Germany Wenbing Zhao, Cleveland State University, USA Camelia Mu�oz-Caro, Universidad de Castilla-La Mancha, Spain Laurent R�veill�re, Bordeaux Institute of Technology, France Ewa Grabska, Jagiellonian University - Krakow, Poland ADVCOMP Industry/Research Chairs Jorge Ejarque Artigas, Barcelona Supercomputing Center (BSC-CNS), Spain Helmut Reiser, Leibniz Supercomputing Centre (LRZ)-Garching, Germany H. Metin Aktulga, Lawrence Berkeley National Lab, USA Sameh Elnikety, Microsoft Research, USA Umar Farooq, Amazon.com - Seattle, USA Dmitry Fedosov, Forschungszentrum Juelich GmbH, Germany Alice Koniges, Lawrence Berkeley Laboratory/NERSC, USA Markus Kunde, German Aerospace Center & Helmholtz Association - Cologne, Germany Peter M�ller, IBM Zurich Research Laboratory- R�schlikon, Switzerland Simon Tsang, Applied Communication Sciences - Piscataway, USA Anna Schwanengel, Siemens AG, Germany Christoph Fuenfzig, Fraunhofer ITWM, Germany ADVCOMP Publicity Chairs Marie Lluberes, University of Puerto Rico at Mayag�ez, USA Sascha Opletal, University of Stuttgart, Germany �lvaro Navas, Universidad Politecnica de Madrid, Spain Iwona Ryszka, Jagiellonian University - Krakow, Poland ================================================

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Organismal Assistant Professor of Biology Position
by Weaver, Adam L 13 Mar '14

13 Mar '14

Dear Colleagues, I respectfully submit an advertisement below for an organismal biologist in our department of Biology. The job description and method of application are described below. Please share with suitable candidates. Thank you, Adam Weaver ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Adam L. Weaver, Ph.D. Assistant Professor, Dept. of Biology Phone: (802) 654-2624 Saint Michael’s College (Office: Cheray 313E) FAX: (802) 654-2236 One Winooski Park, Box 283 Email: AWeaver2(a)smcvt.edu<mailto:AWeaver2@smcvt.edu> Colchester, VT 05439 Web: http://academics.smcvt.edu/aweaver2 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This job opportunity has been sent to you through Saint Michael's College Careers. Please click here<http://smcvt.interviewexchange.com/jobofferdetails.jsp?JOBID=47078&type=7> to view the posting and to apply online. If your email system does not support links, please cut and paste the following text in a web browser: http://smcvt.interviewexchange.com/jobofferdetails.jsp?JOBID=47078&type=7 Specifically we are seeking an excellent educator whose research interests and training will lend themselves to serving the growing number of Biology majors interested in the health care professions. This is a tenure track position with a Fall 2014 start date. Full posting follows: Assistant Professor of Biology Category: Faculty Department: Biology Locations: Colchester, VT Posted: Mar 03, '14 Type: Full-time About Saint Michael's College : At Saint Michael’s College students are challenged to do their best, find their niche, take on opportunities to grow, and immerse themselves in academic pursuits. A residential Catholic college, Saint Michael’s is steeped in the social justice spirit of its founding priests, the Edmundites. Saint Michael’s is located three miles from Burlington, Vermont, one of America's top 10 college towns. Headed by President John J. Neuhauser, the college has 1,900 undergraduate students and 500 graduate students. A Phi Beta Kappa institution, Saint Michael’s also features an extraordinary Wilderness Program and rare Fire & Rescue Squad, both of which other colleges use as models. Identified by the Princeton Review, 2014 as one of the nation’s Best 378 Colleges, and included in the Fiske Guide to Colleges 2014, Saint Michael's students and professors have received Rhodes, Woodrow Wilson, Goldwater, Pickering, Guggenheim, Fulbright, and other awards. The college is one of the nation's top-100, Best Liberal Arts Colleges as listed in the 2014 U.S. News & World Report rankings. Job Description: The Department of Biology at Saint Michael’s College invites applications for a full-time, tenure-track faculty position for an assistant professor of biology starting in the 2014-2015 academic year. The successful candidate will be expected to participate in the team teaching of introductory biology and to teach upper-level lecture and laboratory courses in the areas of human anatomy and physiology thus enhancing the department’s offerings for students interested in post-graduate opportunities in health care. Advising students pursuing careers in the health professions will become part of this new faculty member’s role. The successful candidate must also maintain a productive scholarship program focusing on research at the organismal level providing opportunities for student involvement. For example, focus areas of scholarship could include, but are not limited to the following (listed in alphabetical order, not in order of preference): anatomy, biomechanics, developmental biology, embryology, kinesiology, functional morphology, neurobiology, physiology, or vertebrate evolution. Please note however that the Biology Department does not have facilities to maintain live mammals. Research programs strictly at the population or cell and molecular levels are not compatible with this position. Requirements: * Ph.D. in biology or related organismal field * College-level teaching experience * Promising record of scholarship * Willingness to participate as part of a team of colleagues with the primary focus being the learning and development of our students * Direct experience in the health care industry or in advising pre-health students would be valued An offer of employment will be contingent upon the successful completion of a background check. Additional Information: Applicants should demonstrate a commitment to innovative undergraduate teaching and be able to apply appropriate technology to the teaching & learning process. Candidates should be supportive of the mission of this Catholic, residential, liberal arts college with an undergraduate enrollment of 2,000 students. Saint Michael’s College is committed to fostering and affirming an inclusive, multi-cultural, multi-ethnic environment for its students, faculty, and staff. Applicants are invited to discuss how they might contribute to this diversity in their cover letter. Application Instructions: Please be prepared to attach the following documents after clicking on Apply Now button. * Cover letter, including statement of teaching philosophy, research objectives, and addressing the balance between teaching and research at an undergraduate liberal arts institution. * Research statement detailing the fit of your program of scholarship in the context of a small liberal arts college and how undergraduate students will participate in your research. * Curriculum vitae, including names and contact information of at least three references. Finalists will be contacted before we contact referees.

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Postdoc: color neurophysiology, modeling and vision prosthesis, SUNY, New York City
by Youping Xiao 13 Mar '14

13 Mar '14

A NIH-supported postdoctoral position is available immediately for studying the processing of color information in primate cortex, and applying optogentics to vision prosthesis. The projects is under the direction of Dr. Youping Xiao at State University of New York - Downstate Medical Center, New York, New York. We employ a multidisciplinary approach, including optical imaging of intrinsic signal and voltage-sensitive dye, multi-channel single-unit recording, optogentics, neuroanatomy, advanced statistical analysis, and modeling. Our current research focuses on the population based representation of color or other information, functional connectivity between neurons, neural circuitry for color perception, and the development of cortical vision prosthesis using optogenetics. For further information about the Xiao Lab see http://www.downstate.edu/ophthalmology/faculty/xiao.html. The candidate should have a doctoral degree in any field of natural science or engineering with experience in working on electrophysiology, neural network, neuroimaging. A strong quantitative background and experience in programming (Matlab, C/C++, or Python) is preferred. Interested individuals should send a statement of interests, CV, 2-3 letters of reference, PDFs of representative publications, and the expected date of availability to Dr. Xiao (youping.xiao(a)downstate.edu) State University of New York is an Equal Opportunity/Affirmative Action Employer. Best, Youping Xiao, PhD Associate Professor Department of Ophthalmology SUNY Downstate Medical Center 450 Clarkson Avenue, MSC 58 Room BSB 6-30 Brooklyn, NY 11203 phone: 718-270-3900 fax: 718-270-2972

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Postdoctoral position in computational neuroscience at IIT-CNCS - Laboratory of Neural Computation, Rovereto, Italy
by Stefano Panzeri 13 Mar '14

13 Mar '14

Postdoctoral position in computational neuroscience at IIT-CNCS - Laboratory of Neural Computation, Rovereto, Italy Applications are sought for a post-doctoral researcher to work in computational neuroscience. The postdoctoral candidates will be working in the Centre for Neuroscience and Cognitive Systems in Trento (Italy) under the supervision of Prof. Stefano Panzeri. The postdoc will contribute to a project entitled "VISUAL MODELLING USING GANGLION CELLS". The project, funded by the European Union Future Emerging Technology programme, will develop a set of novel information theoretic algorithms for the analysis of simultaneous recordings from large populations of retinal ganglion cells under dynamic natural visual stimulation. These algorithms will be applied to analyse the functional response properties of these cells and will expose new principles of spike timing encoding that bridge the gap between single cell and population information processing. The project will involve collaborations with a retinal neurophysiology laboratory at Gottingen University (Prof Tim Gollish), as well as collaborations with neuromorphic electronic engineers and roboticists (University of Zurich, and University of Ulster) to contribute to the development of novel theoretical and hardware models of biological retinal ganglion cell types for dynamic vision applications. The ideal candidates will have a strong background in numerate sciences (physics, mathematics, engineering or informatics) and a keen interest in applying their numerate background to make breakthroughs in the understanding of the brain. Proficiency in English is required. The postdoctoral researchers will work at the IIT (CNCS@UNITN) most of the time under the superivision of internationally recognized experts and will have access to state-of-the-art equipment and laboratories. Interested applicants should contact Stefano Panzeri (stefano.panzeri(a)iit.it) for any informal queries. For a formal application, the candidate will submit his/her CV, list of publications, a statement of research interests and the names and email addresses of two referees by e-mail to both stefano.panzeri(a)iit.it and Sara Maistrelli ( Cncs_selezioni(a)iit.it ). Please quote REF CB 69468 in the application. Deadline for the application is April 6, 2014. For recent reviews about the work carried out by the laboratory of Neural Computation, prospective applicants are invited to consult the following articles: G.T. Einevoll, C. Kayser, N.K. Logothetis and S. Panzeri (2013) Modelling and analysis of local field potential for studying the function of cortical circuits. Nature Reviews Neuroscience, 14:770-785; Panzeri S, Brunel N, Logothetis NK, Kayser C (2010) Neural codes at multiple temporal scales in sensory cortex.Trends in Neuroscience 33: 111-120 Quian Quiroga R, Panzeri S (2009) Extracting information from neuronal populations: information theory and decoding approaches. Nature Reviews Neuroscience 10: 173-185. The formal full job post advert can be found at: http://www.iit.it/en/openings/iit-centres/iit-unitn-openings/2331-postdocto…

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Workshop on information theoretic incentives for artificial life
by Keyan Ghazi-Zahedi 13 Mar '14

13 Mar '14

*** WORKSHOP ON INFORMATION THEORETIC INCENTIVES FOR ARTIFICIAL LIFE *** to be held at the 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE-14) New York City, 30 July-2 August 2014 Workshop web page: http://www.mis.mpg.de/ay/workshops/alife14ws.html Conference web page: http://alife14.org Please forward this mail to other interested parties. ~~~ IMPORTANT DATES Submission deadline: 2 May 2014 Notification of acceptance: 23 May 2014 Workshop date: 30 July 2014 (to be confirmed, possible alternative is the 31st of July) ~~~ ABOUT Artificial Life aims to understand the basic and generic principles of life, and demonstrate this understanding by producing life-like systems based on those principles. In recent years, with the advent of the information age, and the widespread acceptance of information technology, our view of life has changed. Ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. But what can information, or more formally Information Theory, offer to Artificial Life? One relevant area is the motivation of behaviour for artificial agents, both virtual and real. Instead of learning to perform a specific task, informational measures can be used to define concepts such as boredom, empowerment or the ability to predict one's own future. Intrinsic motivations derived from these concepts allow us to generate behaviour, ideally from an embodied and enactive perspective, which are based on basic but generic principles. The key questions here are: "What are the important intrinsic motivations a living agent has, and what behaviour can be produced by them?" Related to an agent's behaviour is also the question on how and where the necessary computation to realise this behaviour is performed. Can information be used to quantify the morphological computation of an embodied agent and to what degree are the computational limitations of an agent influencing its behaviour? Another area of interest is the guidance of artificial evolution or adaptation. Assuming it is true that an agent wants to optimise its information processing, possibly obtain as much relevant information as possible for the cheapest computational cost, then what behaviour would naturally follow from that? Can the development of social interaction or collective phenomena be motivated by an informational gradient? Furthermore, evolution itself can be seen as a process in which an agent population obtains information from the environment, which begs the question of how this can be quantified, and how systems would adapt to maximise this information? The common theme in those different scenarios is the identification and quantification of driving forces behind evolution, learning, behaviour and other crucial processes of life, in the hope that the implementation or optimisation of these measurements will allow us to construct life-like systems. ~~~ WORKSHOP FORMAT The workshop is scheduled for a full day, and will consist of a combination of keynotes, presentations, discussions and shorter student presentations. To participate in the workshop by giving a presentation we would ask you to submit an extended abstract. We are interested in both, the current existing approaches in the field, and possible future avenues of investigation. Student presentations are an option for younger researchers, new to the field, that would like to outline and discuss their research direction or early results. The general idea is to offer a forum for those interested in applying information theory and similar methods to the field of artificial life, to have a focused discussion on both, the possibilities and technical challenges involved. After the workshop, there will a special issue in the Journal "Entropy" on the topic of the workshop, and we encourage participants to submit an extended version of their work. Further details will be announced as soon as possible. ~~~ SUBMISSION AND PARTICIPATION How to submit If you want to participate in the workshop by giving a talk we would invite you to send us an email (itialife(a)gmail.com) by 2 May 2014 with - name - contact details -1-2 pages long extended abstract. We are interested in previous work related to the subject and current work, including preliminary results. Specifically for students we also offer the option to submit for a shorter student talk, to present some early results, and discuss their approach to the field. In this case, please submit a 1-2 pages long extended abstract and indicate that you are interested in a student presentation. If there are any questions, or if you just want to indicate interest in submitting or attending, please feel free to mail us at itialife(a)gmail.com. ~~~ CONTACTS Web: http://www.mis.mpg.de/ay/workshops/alife14ws.html Email: itialife(a)gmail.com ~~~ Organisers: Christoph Salge, Keyan Zahedi, Georg Martius and Daniel Polani With best wishes, Keyan Zahedi, on behalf of the organisers -- Keyan Ghazi-Zahedi, Dr. rer. nat. Information Theory of Cognitive Systems Max Planck Institute for Mathematics in the Sciences phone: (+49) 341 9959 545, fax: (+49) 341 9959 555, office A11

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[3 DAYS LEFT] Frontiers Research Topic - Models of brain stimulation
by Dr Julien Modolo 12 Mar '14

12 Mar '14

Dear all, Just a friendly reminder that the deadline of our Research Topic organized with Frontiers in Neuroscience (Host Specialty: Frontiers in Computional Neuroscience) is in THREE DAYS only (March 15). As a reminder, our Research Topic is entitled: "Driving Innovation in Therapeutic Brain Stimulation With Biophysical Models" Topic Editors: Julien Modolo, Alexandre Legros and Alex W Thomas - Lawson Health Research and Western University, London, Ontario (Canada). Abstract Submission Deadline: March 15 2014 Article Submission Deadline: June 1st, 2014 Research Topic Description: Electric and magnetic stimulation of the brain have become increasingly used for therapy in numerous neurological disorders over the last 20 years. The domain of therapeutic brain stimulation is complex and dynamic, since it involves many different diseases (e.g., Parkinson’s disease, epilepsy), stimulation devices and protocols (from completely non-invasive stimulation to the chronic implantation of stimulation electrodes in the brain). Despite its use by hundreds of thousands of patients worldwide, it seems paradoxical that, in most cases, the biological mechanisms by which therapeutic brain stimulation can provide symptom relief are unknown. Our limited knowledge in terms of interaction mechanisms dramatically slows down the development of novel brain stimulation techniques, which rely mainly on empiric observations. Fortunately, a paradigm change has begun, and biophysical modeling has emerged as an alternative tool not only allowing ot understand therapeutic brain stimulation, but also to foster innovation. Realistic models of neurons and neural networks are now routinely used in neuroscience research to better understand the outcome of experimental data, and also to help in experiment design. These models can simulate the activity of single cells (e.g., with the Hodgkin-Huxley model), or, at the other extreme, of the entire brain (Blue Brain project). One especially appealing use of these models is to simulate in silico how electric and magnetic fields modulate neuronal activity at different spatial and temporal scales, to ultimately have an impact on behaviour. This application of biophysical models of brain activity is currently the focus of intense research efforts, with the hope of groundbreaking clinical translations on the horizon. The objective of this Research Topic is to offer a comprehensive overview of the most recent biophysical models and their contribution in the development of innovative therapeutic brain stimulation techniques, in various neurological disorders. An emphasis should be made on the critical role of biophysical modeling in the rational and effective design of novel brain stimulation techniques, and also in providing key insights into fundamental interaction mechanisms that can be exploited to ends of therapy. About Frontiers Research Topics: Frontiers Research Topics are designed to be an organized, encyclopedic coverage of a particular research area, and a forum for discussion and debate. Contributions can be of different article types (Original Research, Methods, Hypothesis & Theory, and others). Our Research Topic has a dedicated homepage on the Frontiers website, where contributing articles are accumulated and discussions can be easily held. Once all articles are published, the topic will be compiled into an e-book, which can be sent to foundations that fund your research, to journalists and press agencies, and to any number of other organizations. As the ultimate reference source from leading scientists, Frontiers Research Topic articles become highly cited. Frontiers is a Swiss-based, open access publisher. As such an article accepted for publication incurs a publishing fee, which varies depending on the article type. The publishing fee for accepted articles is below average compared to most other open access journals - and lower than subscription-based journals that apply page and color figure charges. Moreover, for Research Topic articles, the publishing fee is discounted quite steeply thanks to the support of the Frontiers Research Foundation. Details on Frontiers’ fees can be found at http://www.frontiersin.org/about/PublishingFees. When published, your article will be freely available to visitors to the Frontiers site, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you will retain the copyright to your own paper and all figures. The details regarding this Research Topic for Frontiers in Computational Neuroscience can be found at the following URL: http://www.frontiersin.org/computational_neuroscience/researchtopics/drivin… Should you choose to participate, please confirm by sending a quick email and then your abstract using the following link: http://www.frontiersin.org/submissioninfo Thanks in advance for your interest! Julien Modolo, Alexandre Legros and Alex W Thomas -- Julien Modolo, PhD Scientist, Human Threshold Research Group, Lawson Health Research Institute Assistant Professor, Departments of Medical Biophysics and Medical Imaging, Western University Room E4-141 268 Grosvenor Street London, ON, N6A4V2 Canada Phone: (+001) 519-646-6100 ext 64192 Fax: 519-646-6100

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