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

Increased Impact Factor (2014/15) and Table of Contents Alert: Cognitive Computation journal (Springer): Vol.7, No.3 / June 2015 Issue

by Dr Amir Hussain

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 7, No.3 / June 2015 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 ================================================================ Important News: Increased Impact Factor & Six bi-monthly Journal Issues from 2015! ================================================================ As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation received its first Impact Factor (IF) of 1.0 in 2011 The IF for 2014 has increased to 1.44 (Thomson Reuters Journal Citation Reports® 2014) Many congratulations to the editors, reviewers and authors! Want to be part of the growing success? Visit the journal homepage (http:// springer.com/12559) for instructions on submitting your research. ================================= Quarterly to Bi-monthly Issues, from 2015!! ================================= Due to continuously growing number of high quality submissions, the number of Issues has increased from four (quarterly Issues) to six (bi-monthly Issues) each year, starting Feb 2015! ======================================== The June 2015 Issue comprises two invited papers - the first by Guang-Bin Huang: "What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle", and the second by Asim Roy: "On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation"). These are followed by eight regular papers. The full listing of published articles (Table of Contents) for this June 2015 Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/7/3/ <http://link.springer.com/journal/12559/6/3/> 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#realtime Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ============================================ Reminder: Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has over 800 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore: Marleen.Moore(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2015-16 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 NEW: Open Access Springer/BMC journal: Big Data Analytics ( http://www.bdataanalytics.com/) - Now accepting submissions! NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer .com/series/10374 ------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 7 No 3, June 2015 -------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------- What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle Guang-Bin Huang http://link.springer.com/article/10.1007/s12559-015-9333-0 On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation Asim Roy http://link.springer.com/article/10.1007/s12559-014-9307-7 Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic Aladdin Ayesh, William Blewitt http://link.springer.com/article/10.1007/s12559-014-9287-7 Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic Aladdin Ayesh, William Blewitt http://link.springer.com/article/10.1007/s12559-014-9286-8 Is Attentional Refreshing in Working Memory Sequential? A Computational Modeling Approach Sophie Portrat, Benoît Lemaire http://link.springer.com/article/10.1007/s12559-014-9294-8 Uncertain Graph Classification Based on Extreme Learning Machine Donghong Han, Yachao Hu, Shuangshuang Ai, Guoren Wang http://link.springer.com/article/10.1007/s12559-014-9295-7 Optimization of Multiuser MIMO Cooperative Spectrum Sensing in Cognitive Radio Networks Yongqiang Hei, Wentao Li, Min Li, Zhuo Qiu, Weihong Fu http://link.springer.com/article/10.1007/s12559-014-9297-5 Word Polarity Disambiguation Using Bayesian Model and Opinion-Level Features Yunqing Xia, Erik Cambria, Amir Hussain, Huan Zhao http://link.springer.com/article/10.1007/s12559-014-9298-4 Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine Chi-Man Vong, Weng-Fai Ip, Chi-Chong Chiu, Pak-Kin Wong http://link.springer.com/article/10.1007/s12559-014-9301-0 Daniel D. Hutto and Erik Myin: Radicalizing Enactivism: Basic Minds without Content Paulo De Jesus http://link.springer.com/article/10.1007/s12559-014-9306-8 --------------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journal/12559/6/4/page/1 The full listing of Vol. 7, No.1 / Feb 2015 can be viewed here: http://link.springer.com/journal/12559/7/1/ (with the first six papers part of a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole´-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0) The full listing of Vol. 7, No. 2 / April 2015, can be viewed here: http://link.springer.com/journal/12559/7/2/ This comprises a Special Issue on "Sentic Computing", Guest Edited by: E. Cambria and A. Hussain. The Guest Editorial titled: "Sentic Computing" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9325-0 -- The University is ranked in the QS World Rankings of the top 5% of universities in the world (QS World University Rankings, 2014) The University of Stirling is a charity registered in Scotland, number SC 011159.

June 30, 2015

Reminder: Summer school on nonlinear methods, application deadline 10th of July

by Michael von Papen

Dear all, This is a reminder for the upcoming Cologne Summer School on non-linear analysis methods for master's degree and PhD students. Deadline for applications is 10th of July, 2015. ------------------------------------------------------------------- Cologne Summer School 2015: *Non-Linear Methods for Complex Systems Analysis* Date: Mon-Fri 28.09-02.10.2015 Location: *University of Cologne*, Germany ------------------------------------------------------------------- This one-week summer school brings together *master's degree and PhD students from international universities* for an interdisciplinary hands-on learning experience. The workshop will introduce non-linear analysis methods using the Python toolbox pyunicorn. With the techniques presented in the summer school, such as complex networks and phase space concepts, the students will be able to characterize highly complex systems. Such systems are frequently encountered, e.g., in *biology, chemistry, economics, geoscience, neuroscience, and physics*. Lectures and computer labs will be led by Dr. Reik Donner and Marc Wiedermann from the Potsdam Institute for Climate Impact Research. For the complete program visit *complexsystems.uni-koeln.de/summerschool.html*. The application deadline is 10.07.2015. The summer school is organized by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne. Contact: Dr. Michael von Papen (/vonpapen(a)geo.uni-koeln.de/) ------------------------------------------------------------------- *Information* The Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne hosts a summer school to introduce novel and groundbreaking methods for the analysis of scientific data. For this matter, we bring together master's degree and PhD students from the University of Cologne and from international universities for an interdisciplinary learning experience. The aim of the summer school is not only to teach new analysis methods, but also to foster scientific collaboration and discussion between students of different fields of study. This year, the summer school of the Competence Area 3 will introduce non-linear analysis methods to study highly complex systems, which cannot be sufficiently characterized with linear methods. Such systems are frequently encountered, e.g., in biology, chemistry, economics, geoscience, neuroscience, and physics. The one-week summer school will take place from Monday to Friday, September 28 - October 2, at the University of Cologne, Germany. The strongly interdisciplinary hands-on course consists of lectures and computer labs and will provide the students with novel analysis techniques and concepts. Amongst others, the workshop will cover topics such as detrended fluctuation analysis, complex networks, scaling analysis, synchronization, transfer entropy, and causality, which help to characterize systems that are governed by non-linear processes. The summer school is led by *Dr. Reik Donner and Marc Wiedermann* from the *Potsdam Institute of Climate Impact Research* based on their lectures at the Humboldt University, Berlin, and their popular short-courses at the European Geosciences Union General Assembly. They will introduce the Python toolbox /pyunicorn/ for non-linear analysis along with prominent examples of modern analysis frameworks highlighting the methodological variety of complex systems based data analysis (see program below). The techniques that are taught in the summer school will be illustrated by applications to real-world data from different fields of study. The course materials will be made available to the participants after the course, including example codes for the platform-independent open-source software Python and the toolbox pyunicorn. The course will be held in English. For questions, please contact Mitch von Papen (vonpapen(a)geo.uni-koeln.de) *Program* The summer school consists of approximately the same amount of lectures and computer labs. During the lectures, the basics of the analysis methods are explained. Subsequently, these methods are applied to synthetic and real-world data in computer labs. The students work on a project in small groups and present and discuss their results at the end of the workshop. The students are introduced to the concepts of several non-linear analysis methods and will gain experience in applying the toolbox pyunicorn as well as in interpreting the results. Ideally, the summer school will enable the students to use the learned techniques on their own scientific data after the summer school. The approximate schedule for the summer school is given below. Note however, that changes may occur due to group dynamics. /Monday, September 28th/ 09:00 a.m. | Lecture 1: Introduction - linear vs. non-linear methods, Stationarity, uni- and multivariate correlation analysis, classical early warning methods, non-linearity tests and surrogate data 11:00 a.m. | Lecture 2: Long-range dependence and scaling analysis, Persistence and anti-persistence, power spectrum, Hurst exponent, detrended fluctuation analysis 02:00 p.m. | Tutorial 1: Introduction to Python, Why Python in science?, important packages for scientific computing, common data types, structure of pyunicorn 04:00 p.m. | Tutorial 2: Assignment of group projects, (6 groups a 5 persons) 07:00 p.m. | Social get-together at local brewery /Tuesday, September 29th/ 09:00 a.m. | Lecture 3: Introduction to complex networks, Mathematical representation of networks, structural network characteristics, basic network models, identification of power-laws, interconnected and multi-layer networks 11:00 a.m. | Lecture 4: Inferring networks from data, Functional network analysis (correlation networks, examples from climatology, neurophysiology and economics), visibility graphs 02:00 p.m. | Tutorial 3: tbd 04:00 p.m. | Tutorial 4: tbd /Wednesday, September 30th/ 09:00 a.m. | Lecture 5: Information theory and entropy, Basic concepts, Shannon-, Renyi- and Tsallis-entropies as statistical quantifiers, Kolmogorov-Sinai (source) entropy and estimation via block entropies, order patterns and permutation entropy, mutual information, transfer entropy and causality, independent component analysis 11:00 a.m. | Lecture 6: Synchronization, Definition and types of synchronization, phase synchronization: order parameters and phase dynamics from data, generalized synchronization 02:00 p.m. | Tutorial 5: tbd 04:00 p.m. | Tutorial 6: tbd /Thursday, October 1st/ 09:00 a.m. | Lecture 7: Phase space concepts, Phase space of dynamical systems, embedding, fractal dimensions, correlation integral and relation with entropies, entropy estimates from embedded data 11:00 a.m. | Lecture 8: Recurrence analysis, Recurrence in phase space; recurrence plots, quantification analysis and networks; multivariate generalizations; applications: synchronization analysis, coupling direction 02:00 p.m. | Tutorial 7: tbd 04:00 p.m. | Tutorial 8: tbd /Friday, October 2nd/ 09:00 a.m. | Presentation and discussion of projects 1-3 from the tutorials 11:00 a.m. | Presentation and discussion of projects 4-6 from the tutorials 02:00 p.m. | Open discussion: Outlook on contemporary developments in the field 03:30 p.m. | End of day 5: Farewell -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Pohligstr. 3 (R 3.224) 50969 Cologne Tel.: +49 (0)221 470-2841 Email: vonpapen(a)geo.uni-koeln.de http://complexsystems.uni-koeln.de

June 30, 2015

Postdoctoral Positions in Computational Neuroscience at Sandia National Laboratories

by Chance, Frances S.

Colleagues, We are seeking postdoctoral researchers to join an interdisciplinary research program focused on understanding neural computation at the circuit level. Example research topics of interest include computational models of visual cortex, neural circuitry underlying perception, and the neural basis of decision-making. Candidates should have a strong background in neuroscience, and an interest in understanding of relations between neuroscience, cognitive science, and computation. Experience or familiarity with related machine-learning fields is also desired. Our department is part of a highly interdisciplinary community of researchers with interests spanning systems neuroscience and brain-inspired computing, engineering, and computer science. Successful applicants will be expected to conduct high-quality research, maintain a successful publication record in peer-reviewed journals, and develop collaborations with this vibrant and growing community. This position is located at Sandia's Albuquerque, NM, USA site. To view the full job advertisement and to apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Go to the Advanced Search, then search for Job Opening ID 650197. Please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>) with any questions.

June 29, 2015

Computational Neuroscience Positions at Sandia National Laboratories

by Chance, Frances S.

Colleagues, We are seeking computational neuroscientists to join an interdisciplinary research program focused on understanding neural computation at the circuit level. Preference will be given to candidates using computational approaches, broadly defined, to understand visual cortex and perception, but we welcome applicants from all areas of computational neuroscience. Example research topics of interest include computational models of visual cortex, neural circuitry underlying perception, and the neural basis of decision-making. Candidates should have a strong background in neuroscience, and an understanding of relations between neuroscience, cognitive science, and computation. Experience or familiarity with related machine-learning fields is also desired. Our department is part of a highly interdisciplinary community of researchers with interests spanning systems neuroscience and brain-inspired computing, engineering, and computer science. Successful applicants will be expected to conduct high-quality research, maintain a successful publication record in peer-reviewed journals, and develop collaborations with this vibrant and growing community. Staff members at Sandia are expected both to contribute to ongoing projects and to develop new lines of research with potential for application in solving complex problems. This position is located at Sandia's Albuquerque, NM, USA site. Multiple positions for varying levels of experience are available. For more information and to apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Go to the Advanced Search, then search for Job Opening ID 650198. For questions please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>).

June 29, 2015

Workshop on "Spike Initiation: Models & Experiments" at CNS2015 - 22/7/2015, Prague

by Giugliano Michele

Apologies for cross-posting. We would like to announce the following event ---------------------------------------------------------------------------------------------------------------- Workshop on "Spike Initiation: Models & Experiments"<http://www.namasen.net/drupal/sites/CNS2015Workshop/CNS2015_Workshop_-_Spik…> as part of the CNS2015<http://www.cnsorg.org/cns-2015-prague> programme July 22nd, 2015, Prague, Czech Republic ---------------------------------------------------------------------------------------------------------------- The workshop gathers leading experimentalists and theoreticians to discuss a pivotal element for our quantitative understanding of neuronal excitability: the initiation of action potentials. Phenomenological, electrophysiological, and computational aspects of spike initiation will be discussed by addressing the following questions: · What models can quantitatively account for experimental observations? · How is spike initiation regulated at different time scales? · What is the role of the various ionic channels expressed in the axonal initial segment? · What is the significance of neuronal morphology and spatial distribution of channels? · What are the functional consequences of spike initiation properties? The workshop is organised as a symposium of the CNS2015 conference<http://www.cnsorg.org/cns-2015-prague> (see here<http://www.cnsorg.org/cns-2015-workshops-program>). Organizers: Romain Brette, Ecole Normale Supérieure, Paris, France, Michele Giugliano, University of Antwerp (UA), Wilrijk, Belgium. Speakers: Romain Brette, Ecole Normale Supérieure, Paris, France, Martina Michalikova, Humboldt-Universität zu Berlin, Berlin, Germany. Andreas Neef, Max Planck Institute for Dynamics and Self-Organization, Goettingen, Germany. Florence Cotel, The University of Queensland, Brisbane, Australia. Michele Giugliano, University of Antwerp (UA), Wilrijk, Belgium. Maarten Kole, Netherlands Institute for Neuroscience, Amsterdam, Netherlands. Christian Pozzorini, EPFL, Lausanne, Switzerland. Nadim Farzan, Federated Dept Biological Sciences, NJIT & Rutgers Univ, Newark, USA. William Spain, Washington University, Seattle, Washington, USA. Find more information online: http://www.frontiersin.org/events/Spike_Initation_Models__Experiments/3036 Michele Giugliano and Romain Brette — Michele Giugliano, PhD Dept. of Biomedical Sciences University of Antwerp Campus Drie Eiken (CDE) - D.T.657 Universiteitsplein 1, B-2610 Wilrijk (Belgium) url: http://www.uantwerpen.be/michele-giugliano

June 29, 2015

Early bird registration extended: Swinburne Brain Imaging Symposium 2015: Principles and Applications of Magnetoencephalography

by David Liley

EARLY BIRD REGISTRATION EXTENDED TO 26th July 2015 Swinburne University of Technology in Melbourne, Australia, is hosting a workshop to promote the unique capabilities of magnetoencephalography for basic and clinical research and clinical decision making. Running over two days from 29 to 30 July 2015 it will feature invited talks from some of the fields most important research leaders and a MEG data analysis hands-on computer workshop. Invited Speakers: Mark Woolrich (Oxford) Krish Singh (Cardiff) Vladimir Litvak (UCL) Suresh Muthukumaraswamy (Auckland) Blake Johnson (Macquarie) In addition to the keynote speakers and computer workshop there will also be an open poster session for registrants to present their work in any of the following or related thematic areas: magnetoencephalography, electroencephalography, clinical monitoring, neuroimaging, TMS, tDCS, tACS or brain-computer interfaces Poster abstract submission deadline: CLOSED Invited Symposia & Cocktail Poster Session – 29-30 July 2015: Early bird registration: full: AU$300; Student/Post-docs: AU$80. Early bird registration deadline: 26th July 2015. Standard registration: full: AU$450; Student/Early Career Researcher: AU$120. Hands-on MEG Data analysis workshop (spaces limited to 30) – 30 July afternoon: SOLD OUT For further information on the invited speakers as well as the preliminary workshop program, and how to submit abstracts and register visit: http://www.research.swinburne.edu.au/our-research/events/neuroimaging-sympo… Please forward this notice to anyone that you think might be interested. On behalf of the organizing committee David Liley, MBChB, PhD Brian Cornwell, PhD Email: megsymposium(a)swin.edu.au<mailto:megsymposium@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<tel:%2B61%203%209214%208812>

June 29, 2015

Fully funded PhD position available at Ulster University (UK), in Brain-inspired Self-repairing Electronic Systems.

by Harkin, Jim

A fully funded PhD position is available at the Intelligent Systems Research Center, Ulster University, UK, in Brain-inspired Self-repairing Electronic Systems. Background Applications are invited for a PhD studentship in Brain-inspired Self-repairing Electronic Systems. The proposed PhD project work is part of the recently funded 3½ year EPSRC project ‘SPANNER’ (EP/N00714X/1) which investigates the development of brain-inspired self-repairing systems, and is in collaboration with the Department of Electronics, University of York. The PhD project will build upon existing investigations at Ulster into the development of highly reliable, large-scale computing systems, where hardware building block have been developed to support brain inspired hardware architectures. In particular, at Ulster we have shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons. We have also developed computer models that demonstrate not only how faults are detected but also how the brain performs repairs. The proposed PhD project will investigate the development of a novel self-repair strategy for computing systems. The concept will explore current thinking on how the human brain performs repair using “astrocyte” cells (glia cells), and will explore how the key principle of this mechanism can be used in the context of electronic systems to provide a novel repair strategy in hardware. Currently an existing software model of a self-repairing astrocyte-neuron network is available and this will be an initial functional specification for the self-repairing hardware strategy. The key research aim is to use the software model of the astrocyte-neuron network and explore how to effectively and efficiently map it to FPGA hardware. Synapse and neuron building blocks for FPGAs have been demonstrated by the Ulster team and will be initially used in the hardware design. The research will look to optimise the FPGA implementation for scalability and this will include the design of astrocyte cells, 3-terminal synapses and interconnectivity between cells, synapses and neurons. An FPGA-based implementation of a demonstrator will be explored to showcase the levels of resilience to injected faults. The successful candidate will be located at the Intelligent Systems Research Centre on the Magee campus of the Ulster University however, aspects of the work will require short research visits to collaborate with project partners at the University of York. Requirements Candidates should hold, or expect to hold a first or upper second class honours degree in Electronic/Electrical Engineering, Computer Engineering, Computer Science or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills experience and interests. Successful candidates will enrol as of 1st October 2015, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. Award The studentship will comprise fees and an annual stipend of £14,057. It will be awarded for a period of up to three years subject to satisfactory progress and is tenable in the Faculty of Computing and Engineering. Further Information If you wish to receive further information please contact: Dr. Jim Harkin (jg.harkin(a)ulster.ac.uk<mailto:jg.harkin@ulster.ac.uk>) Procedure For more information on applying go to www.ulster.ac.uk/research<http://www.ulster.ac.uk/research> Apply online via www.ulster.ac.uk/applyonline<http://www.ulster.ac.uk/applyonline> Closing date and interviews The closing date for receipt of completed applications is 10th July 2015. Interviews will be held in July 2015. ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

June 28, 2015

Post-doctoral research position in vision and memory (I2R, Singapore)

by Cheston Tan

We are seeking an exceptional postdoctoral researcher in visual recognition, learning and memory. The position is available immediately, at the Institute for Infocomm Research (I2R) in Singapore. The project is part of a large multidisciplinary grant (PI: Prof. Tomaso Poggio of MIT) involving multiple universities and research institutions in Singapore (SBIC/CIRC, Duke-NUS Medical School, NUS/NUH, NTU, SINAPSE). The candidate will work on visual recognition, learning and memory algorithms with a strong multidisciplinary team at I2R, and with Prof. Poggio. Collaborators include Prof. Brown Hsieh (Duke-NUS Medical School), Prof. Gabriel Kreiman (Harvard Medical School), Prof. Zhao Qi (National University of Singapore) and Dr. Demis Hassabis (Google/DeepMind). Candidates must have a PhD in computer science, neuroscience, engineering, psychology or related fields. Strong programming and quantitative skills are required. Candidates must be proficient in spoken and written English. Interest in biologically-inspired approaches preferred. The appointment will be for up to 2 years (possibly with extension), with internationally-competitive salaries and benefits. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists - Opportunities for attachments at MIT and the Center for Brains, Minds and Machines (http://cbmm.mit.edu/) Interested candidates should send a CV, statement of research interests and three references to Dr. Cheston Tan (cheston(a)alum.mit.edu) Position will be open until filled; send applications sooner rather than later if interested. More information: - Dr. Cheston Tan: http://www.mit.edu/~cheston/CV_short.pdf - Dr. Lim Joo-Hwee: http://www.i2r.a-star.edu.sg/profile/dr-lim-joo-hwee - Institute for Infocomm Research: http://www.i2r.a-star.edu.sg/ - Working in Singapore: http://www.contactsingapore.sg/professionals/why_singapore/

June 27, 2015

ICDM Workshop HealthMining 2015 and HISS Special Issue (Deadline: July 20, 2015)

by william

[Please accept our apologies if you receive multiple copies of this email] CALL FOR PAPERS HEALTHMINING 2015 - The ICDM Workshop on Data Mining and Decision Analytics on Public Health and Wellness (URL: http://www.comp.hkbu.edu.hk/~healthmining2015/) In conjunction with the IEEE International Conference on Data Mining (ICDM 2015) AIMS and SCOPE For many years, data mining and decision analytics techniques have already been extensively applied to various domains, such as smart environments, social networks, marketing, and web technology. The focus of this workshop is mainly on the issues and challenges of data mining techniques with the purpose of improving human well-being and quality of life. It is expected that the workshop may increase the diversity of application areas that can benefit from data mining. At the same time, it is also desirable that the discussion and vision of this workshop would also offer further insights into, as well as new tools for, the issues of data collection, processing, system modeling, simulation and optimization arising from various public health topics. The objective of this workshop is to serve as a venue for researchers to discuss how data mining and analytics methods can contribute to improving public health quality in clinical, medical/biomedical, and healthcare systems in smart ways, including evidence-based medicine, personalized treatment and healthcare, assistive technology and active surveillance and control of diseases. In addition to mining statistical regularities, associations, or causalities from large-scale health-related datasets, it would be more desirable to further investigate how the results can effectively and efficiently support decision-making, system modeling, optimization, and simulation in various healthcare systems. TOPICS OF INTEREST - Large-scale data acquisition and management issues for public health - Social and other network-based analysis for public health - Medical big data mining and innovative applications - Mining risk patterns in medical data - Mental and physical health data integration - Biomarker discovery and biomedical data mining - Clinical data mining for practice knowledge building - Data mining from clinical decision-making, and practitioner reflection - Data mining from genetic data of diseases - Data mining for disease profiling and personalized treatment - Data mining for (active) syndromic surveillance - Data mining for infectious/chronic disease epidemiology and control - Data mining for exploring hidden patterns in clinical systems - Data mining for medical/biomedical, and healthcare systems - Data mining for assistive environments - Data modeling and information management for pervasive assistive environments - Data mining and knowledge modeling for wellness - Spatiotemporal data exploration and mining of diseases - Unstructured data mining in medicine and healthcare - Semantic data mining in medicine and healthcare - Scalable data integration in medicine and healthcare - Evidence-based decision-support systems - Healthcare knowledge abstraction, classification, and summarization - Healthcare knowledge computerization, execution, inference, and representation >>> SPECIAL ISSUE <<< Selected papers of the workshop will be invited for revision to be included in a special issue to be published in Health Information Science and Systems (URL: http://www.hissjournal.com/) IMPORTANT DATES - Paper Submission Due: Jul 20, 2015 - Paper Notification Date: Sep 1, 2015 - Workshop Date: Nov 13, 2015 ORGANIZING COMMITTEE - William K. Cheung, Hong Kong Baptist University, Hong Kong - Jiming Liu, Hong Kong Baptist University, Hong Kong - Parisa Rashidi, University of Florida, USA - Fei Wang, University of Connecticut, USA -- Dr. William K. Cheung Associate Professor and Associate Head CS Dept, Hong Kong Baptist University http://www.comp.hkbu.edu.hk/~william Tel: (+852) 3411-5965 Fax: (+852) 3411-7892 "A happy heart makes the face cheerful, but heartache crushes the spirit." --- Proverbs 17:22 Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer

June 27, 2015

Fully funded PhD position in Neural Learning / Robotics / Evolutionary Neural Networks

by Andrea Soltoggio

A fully funded PhD position is available at the Deep Automation, Learning and Evolution Lab at Loughborough University, UK, on the topics of Neural Learning / Robotics / Evolutionary Neural Networks. Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m journey by train. Research. The focus is on developing new neural learning algorithms with possible applications to a variety of automation and machine learning problems, e.g. vision, robotics, autonomous vehicles, manufacturing technology. We seek an outstanding candidate, capable of defining their own research project and bringing novel ideas and initiatives to the lab. Working environment. The student, based at the Computer Science Department, School of Science, will have access to a number of robotic platforms, from humanoid robots, to UAVs and a number of industrial and service robots, as well as a High Performance Computing cluster and GPUs. Interdisciplinary research is encouraged across laboratories, including Aeronautical and Automotive Engineering, the Intelligent Automation Lab, and the Centre for Information Management. The research group collaborates with leading national and international industrial partners. Requirements. The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) Period/Scholarship. Start: October 2015. Duration: 3 years. Scholarship: £14,057 per annum plus tuition fees at the UK/EU rate (currently £4,052 p.a.) Enquiries and applications. Interested candidates are invited to establish a preliminary contact with me (a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk>), possibly including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words), before submitting the full application at http://www.lboro.ac.uk/study/apply/research/ Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science and Centre for Information Management (CIM) School of Business and Economics Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748<tel:%2B44%20%280%29%201509%20635748> Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

June 25, 2015