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Introductory Workshop on Computational Methods in Neuroscience, June 10 – 19, 2015

by Artur Luczak

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

Feb. 10, 2015

Berkeley course in mining and modeling neuroscience data, July 6-17, 2015

by Jeff Teeters

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

Feb. 10, 2015

Final program, qbio seminar in Bilbao, February 17-18, 2015

by Jesus Cortes

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

Feb. 10, 2015

Fellowships in Theoretical and Computational Neuroscience at the University of Pennsylvania

by Vijay Balasubramanian

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

Feb. 10, 2015

Call for Abstracts – IWSP7: Epilepsy Mechanisms, Models, Prediction & Control

by Levin Kuhlmann

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

Feb. 9, 2015

SAND 7 Workshop Announcement

by Barbara Dorney

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

Feb. 9, 2015

Navigation workshop, April 11th, Edinburgh

by Barbara Webb

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

Feb. 9, 2015

2nd CFP - Special Session on Transfer Learning - International Work Conference on Artificial Neural Networks, 10-12 June, 2015

by Jorge M. Santos

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

Feb. 9, 2015

PhD student position in the lab of Susanne Schreiber (Computational Neurophysiology), Berlin

by Margret Franke

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

Feb. 9, 2015

Kosice Neuroscience Workshop 20-24 April 2015

by Norbert Kopco

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

Feb. 9, 2015

Advanced Course in Computational Neuroscience 2015

by Máté Lengyel

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

Feb. 8, 2015

CFP: Signal Processing Special Issue on Big Data Meets Multimedia Analytics

by 刘伟锋

Dear all, Sorry for the cross posting of this CFP message. CFP: Signal Processing Special Issue on Big Data Meets Multimedia Analytics With the rapid development of computing and sensing technologies, such as the emergence of social networking websites and wearable devices, many new research opportunities and challenges for multimedia content analysis have arisen. Many big data modeling methods, computing algorithms, and signal processing technologies have recently been successfully developed and applied to multimedia content analysis: for example, multi-view learning algorithms have been proposed for exploring the variety of multimedia content; sparse and manifold learning have been developed for high dimensional multimedia data representation; deep learning has produced promising results in large scale multimedia retrieval; and compressive sensing and new sampling schemes have been investigated for big data analytics. Motivated by the inclination to collect a set of recent advances and results in these related topics, provide a platform for researchers to exchange their innovative ideas on big modeling and computing solutions for multimedia content analytics, and introduce interesting utilizations of modeling and computing algorithms for particular social/personal media applications, this special issue will target emergent big modeling and computing methods for multimedia signal processing and understanding (with a special focus on social media and personal data). To summarize, this special issue welcomes a broad range of submissions on the development and use of artificial intelligence and computing techniques for multimedia analytics. We are especially interested in: 1) theoretical advances as well as algorithm developments in big data technology for specific social/personal media analytics problems; 2) reports of practical applications and system innovations in social/personal media analytics; and 3) novel datasets as test beds for new developments, preferably with implemented standard benchmarks. The following list suggests (but is not limited to) possible topics of interest: · Big Data Technology Specifically for Multimedia Analytics · Big Data Technology for Multimedia Annotation, Tagging and Classification · Big Data Technology for Multimedia Abstraction and Summarization · Big Data Technology for Multimedia Indexing and Retrieval · Big Data Technology and Computing for Social Media Analytics · Big Data Technology and Computing for Biological Data · Big Data Technology and Computing for Personal Data Mining · Modeling of Wearable Device Sensor Streams · Personal Data based Social Network Analysis and Web Mining · Cloud Computing for Social Intelligence and Personal Data · Deep Learning for Social Media Analytics · Deep Learning for Security in Social Media Important dates: Manuscript Submission: May 01, 2015 Initial Decision: August 01, 2015 R1 Version: October 01, 2015 Acceptance Notification: November 01, 2015 Final Manuscripts Due: November 15, 2015 Anticipated Publication: January 01, 2016 Submission: Manuscripts (Please follow Signal Processing publishing format, details can be found athttp://www.elsevier.com/ journals/signal-processing/0165-1684/guide-for-authors) should be submitted via the Electronic Editorial System of Elsevier: http://ees.elsevier.com/sigpro/. Please make sure to select the "SI: BDMA" as Article Type during the submission process.

Feb. 8, 2015

INCF Short Course on Information Processing in Neural Systems

by Frank Jäkel

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

Feb. 5, 2015

Osnabrueck Computational Cognition Alliance Meeting (OCCAM 2015)

by Frank Jäkel

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

Feb. 5, 2015

Reminder: UAI 2015 - Call for Workshops

by Irina Rish

UAI 2015 - Call for Workshops http://www.auai.org/uai2015/workshops.shtml Proposals are solicited for workshops to be held in conjunction with the The Conference on Uncertainty in Artificial Intelligence (UAI) in Amsterdam, The Netherlands, in July 2015. The workshops will be held on Thursday, July 16, 2015 (tentative date). These workshops present an excellent opportunity to address a specific topic of your choice on the intersection of knowledge representation, machine learning and reasoning under uncertainty. We are looking for half-day or full-day workshop proposals. Important dates Workshop proposal deadline February 19, 2015 Proposal acceptance notification March 2, 2015 Workshop submissions due May 8, 2015 (suggested date) Workshop author notification May 22, 2015 (suggested date) Workshop day: July 16, 2015 (tentative) Workshops are a great format for active research on new topics. The ideal workshop covers a compelling subject of current or upcoming research, and includes an impressive set of speakers with diverse backgrounds to discuss the subject. Discussion via panels and identification of open problems and challenges are great components to include. Organization The format, style, and content of accepted workshops is under the control of the workshop organizers and largely autonomous from the main conferences. The workshops can be up to seven hours long, split into morning and afternoon sessions. Workshop organizers are expected to manage the workshop content, specify the workshop format, be present to moderate the discussion and panels, invite experts in the domain, and maintain a website for the workshop. Workshop registration will be handled centrally by the main conference. Submission Instructions Proposals should clearly specify the following: Workshop title (what is it called?) Topic (what is it about?) Motivation (why a workshop on this topic?) Impact and expected outcomes (what will having the workshop do?) Potential list of invited speakers (who might come?) List of related publications (where can we learn more?) Main workshop organizer (who is making it happen?) Other organizers (who else is making it happen?) Bio for each organizer (who are you?) Workshop URL (where will interested parties get more information?) Detailed descriptions of last year's workshops can be found at: http://auai.org/uai2014/workshopsDetails.shtml. Workshop proposals should be submitted via email in PDF format to uai2015.workshops(a)gmail.com by February 19, 2015 (earlier submissions are encouraged as well). Soon after submission, proposers should expect to receive a verification of receipt. Irina Rish Contact: irina.rish(a)gmail.com Workshops chair UAI 2015

Feb. 4, 2015

Last Mile: IMMM 2015 and DATASETS 2015 || June 21 - 26, 2015 - Brussels, Belgium

by Cristina Pascual

INVITATION: ================= The submission deadline is extended to February 18, 2015. Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - IMMM 2015, The Fifth International Conference on Advances in Information Mining and Management - DATASETS 2015, The International Symposium on Challenges for Designing and Using Datasets Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== IMMM 2015 | DATASETS 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS IMMM 2015, The Fifth International Conference on Advances in Information Mining and Management General page: http://www.iaria.org/conferences2015/IMMM15.html Submission page: http://www.iaria.org/conferences2015/SubmitIMMM15.html DATASETS 2015, The International Symposium on Challenges for Designing and Using Datasets General page: http://www.iaria.org/conferences2015/DATASETS.html Submission page: http://www.iaria.org/conferences2015/DATASETS.html#SubmitAPaper Events schedule: June 21 - 26, 2015 - Brussels, Belgium Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: February 18, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html IMMM 2015 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2015/CfPIMMM15.html ============================================================ Mining mechanisms and methods Data mining algorithms; Media adaptive mining; Agent-based mining; Content-based mining; Context-aware mining; Automation of data extraction; Data mining at a large; Domain-driven data mining; Graph-based data mining; Multilabel information; Multimodal mining; Cloud-based mining; Mining using neurocomputing techniques Mining support Querying for mining; Questions for digital investigation; Similarity search; User-generated content; Visualizing data mining; Internationalization and localization techniques for profile/context-based visualization Type of information mining Concept mining; Process mining; Concept mining; Knowledge mining; Knowledge discovery; Mining image and video; Mining patterns; Opinion mining; Graph mining; Ontology mining; Semantic annotations and mining; Document mining; Spatial mining; Speech mining; Text mining; Web mining; XML data mining Pervasive information retrieval Context and location information retrieval; Mobile information retrieval; Geo-information retrieval; Context-aware information retrieval; Access-driven information retrieval; Location-specific information retrieval; Spacial information retrieval; Semantic-driven retrieval Automated retrieval and mining Automated information extraction; Agent-based data mining and information discovery; Agent-based knowledge; Datamining-based agents and multi-agent systems; Agent-mining intelligent applications and systems; Automated retrieval of multimedia streams; Automated retrieval from multimedia archives; Automated copyright infringement detection and watermarking; Automated content summarization; Automatic concept detection, categorization, and genre detection; Automatic speech recognition; Automated cross-media linking Mining features Dimensionality reduction; Feature weighting; Subset selection; Feature extraction; Feature construction; Data streams and time series; Selection in high-dimensional domains; Multilingual data mining; Multimedia mining; String processing and data mining; Mining association rules; Mining social relationships; Mining linked data; Mining sequential episodes from time series; Mining time-dependent data; Un-supervised data mining; Semi-structured data; Mining location-sensitive data; Concept-drift in data mining Information mining and management Data cleaning; Data updating; Segmentation and clustering; Mining transient information; Warehousing; Web syndication; Data filtering and aggregation; Optimal pruning; Data summarization; Knowledge injection, discovery and classification; Uncertainty removal; Managing incompleteness Mining from specific sources Bio data mining; Climate data mining; Data mining in medicine and pharmacology; Data mining in special networks (grids, sensors, etc.); Data management for mobile systems; Data management for sensors; Data mining and management for wireless systems; Dynamic network discovery; Mining from multiple sources; Mining personal semantic data; Mining from social networks; Mining from deep web; Mining from Wikipedia Data management in special environments Data management in sensor and mobile ad hoc networks; Data management in mobile peer-to-peer networks; Data management for mobile applications; Data management in mobile/temporal social networks; Management of community sensing/participatory sensing data; Managing pervasive data, sensor data streams and user devices; Managing mobile semantic data; Manging data-intensive mobile computing; Management of real-time data; Managing security data streams; Managing Mobile Web 2.0 data; Managing data in mobile clouds; Data replication, migration and dissemination in mobile environments; Web data processing and security on mobile devices; Resource advertising and discovery techniques Mining evaluation Statistics on mining; Ranking of mining results; Provenance; Privacy issues; Patterns for mining; Credibility on data mining; Performance of mining information; Data mining and computational intelligence; Intelligent data understanding; Intelligent data analysis Mining tools and applications Data mining applications; Data mining tools and enabling software; Interoperability of information mining tools; Applications for large-scale mining; Content segmentation tools (e.g., shot and semantic scene segmentation); Evaluation methods for TV and radio content analysis tools; Tools for data sets and standard resources DATASETS 2015 Topics (for topics and submission details: see CfP on the site) CfP: http://www.iaria.org/conferences2015/DATASETS.html#CallForPapers ========================== THEORY The anatomy of designing Datasets Designing context-based Datasets Metadata for Datasets Challenges in designing very large Datasets Updatable and updating Datasets Reference Datasets Datasets families Repositories of Datasets Criteria for selecting appropriate Datasets TYPES Public and private Datasets Open Datasets Big Data and Datasets Trusted Datasets Mining massive Datasets FEATURES Testing and validating Datasets Pitfalls with Datasets Reputation of Datasets Accuracy estimation of Datasets Data links in Datasets APPLICATIONS AND EXPERIMENTS Context-aware Datasets in the Internet of Things Datasets for data mining Datasets used in statistics and machine learning Online Datasets on collective behavior Datasets for analytics and knowledge discovery Regression Datasets Climate Datasets Gene Datasets Health Datasets Economic Datasets Social Datasets Transportation Datasets Urban Datasets Education/scholar Datasets ------------------------ IMMM 2015 Committee: http://www.iaria.org/conferences2015/ComIMMM15.html DATASETS 2015 Committee: http://www.iaria.org/conferences2015/DATASETS.html#Committees ==================

Feb. 4, 2015

Open Source Brain 2015: Building and sharing standardised neuronal models

by Padraig Gleeson

(Apologies for cross postings) Announcing the third annual Open Source Brain Workshop, May 12-14th 2015, Alghero, Sardinia. http://opensourcebrain.org/docs/Help/Meetings#OSB_2015 The Open Source Brain initiative aims to encourage collaborative, open source model development in computational neuroscience and is primarily supported by the Wellcome Trust. As with past OSB meetings <http://www.opensourcebrain.org/docs#Meetings> this workshop will bring together experimentalists, theoreticians and tool developers who are interested in creating open, community developed models of neuronal systems. Researchers interested in building and sharing models of any brain region and from any species are welcome to attend the meeting. There will be presentations on the latest developments and functionality of the OSB resource and associated technologies including NeuroML and LEMS. There will also be a special focus session on Wed 13th May on *creating and sharing experimentally constrained models of the hippocampus*. *Confirmed speakers* Giorgio Ascoli, Krasnow Institute, George Mason University, USA Tiago Branco, MRC Laboratory of Molecular Biology, Cambridge, UK Claudia Colpath, Imperial College London, UK Michael Hines, Yale University, USA Peter Jonas, Institute of Science and Technology, Austria Troy Margrie, MRC National Institute for Medical Research, London, UK Michele Migliore, National Research Council, Italy & Yale University School of Medicine, USA Yiota Poirazi, Institute of Molecular Biology & Biotechnology, Foundation for Research & Technology Hellas, Greece Stefan Remy, German Center for Neurodegenerative Diseases, Bonn, Germany Nelson Spruston, Howard Hughes Medical Institute, Janelia Farm Research Campus, Virginia, USA Full details of the workshop can be found here: http://opensourcebrain.org/docs/Help/Meetings#OSB_2015. The meeting is free to attend, but registration is required (deadline April 15th). The OSB 2015 organising committee Sergio Solinas Padraig Gleeson Angus Silver Boris Marin ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

Feb. 4, 2015

Faculty position opening in software engineering

by Jun Suzuki

University of Massachusetts Boston Department of Computer Science Assistant/Associate Professor The Computer Science Department at the University of Massachusetts Boston invites applications for one full-time position in Software Engineering at the rank of Assistant/Associate Professor, to begin September 1, 2015. We offer an ABET-accredited BS in Computer Science, a BS in Information Technology, an MS with an emphasis on software engineering, and a Ph.D. in Computer Science. Current faculty interests include bioinformatics, computer and human vision, data mining, databases, graphics, networks, security, software engineering, system modeling, and theoretical computer science. A PhD in computer science or a related area is required. A successful candidate at the Assistant Professor level is expected to establish a highly-recognized, externally-funded independent research program at UMass Boston. Candidates at the Associate Professor level should have a well-established research program with a significant funding record. We offer a competitive salary and start-up package. A complete application consists of a cover letter, curriculum vitae, statements about research and teaching, and the names and email addresses of three references. Please submit your application at: http://goo.gl/ZjMvYV Our campus overlooks Boston harbor; our faculty and students enjoy professional life in a center of academia and the software industry. For more information, visit us at http://www.cs.umb.edu Review of applications has begun and will continue until the position is filled. UMass Boston is an Affirmative Action, Equal Opportunity Title IX employer. -- Jun Suzuki Associate Professor of Computer Science University of Massachusetts, Boston jxs(a)cs.umb.edu http://www.cs.umb.edu/~jxs/ http://dssg.cs.umb.edu/ @JunSuzukiBoston

Feb. 2, 2015

IJCNN 2015, final CFP: Papers are due on February 5th, 2015

by Giacomo Boracchi

IJCNN 2015 - International Joint Conference on Neural Networks July 12-17, 2015, Killarney Convention Center, Killarney, Ireland http://www.ijcnn.org This is the final Call for Papers, which are due in 3 days : Thursday, February 5th, 2015!! IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society and the IEEE Computational Intelligence Society, over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. In an era when neural networks are widely used and reported in many areas, scientists, engineers, educators, and students from all over the world can get the best overall view of neural networks, from neuroscience to advanced control systems to cognition, at the IJCNN. *Competitions are underway!* A winning certificate and free registration will be provided to the winner of each competition who attends IJCNN 2015. Remember to submit and related papers (if that is your intent) through the regular IJCNN2015 paper submission system. If you need any other information about the general organisation of the competitions, please do not hesitate to contact : Abir Hussain. IJCNN2015 Competition Chair. Liverpool John MooresU. UK 1) ChaLearn AutoML challenge http://www.codalab.org/AutoML Here is your chance to realize the dream of many researchers in data science: create the "perfect black box", i.e. a learning machine capable of learning from examples without any human intervention. Until June we are progressively introducing 30 classification and regression tasks, with datasets pre-formatted in feature representations. Until February 14 you can win 2 sets of prizes in the: . Round 0 Tweakathon: result or code submission on well known sample datasets (preparation phase) . Round 1 AutoML: code submission on binary classification problems (novice phase) See the challenge website website for submissions, and for questions contact : Isabelle Guyon ClopiNet. California. USA guyon(a)clopinet.com 2) Speech-Music discrimination algorithms in the context of unseen audio data https://sites.google.com/site/aggelospikrakis/ijcnn Without making any assumptions with respect to the origin of the signals. Although the Speech-Music classification problem is already almost two decades old and several algorithms have been proposed over the years, there still remains to answer the question whether the proposed solutions can address audio streams from diverse sources or audio streams that suffer from (mild) spectral and time-stretching distortions. Most published work focuses on evaluating the respective methods on radio broadcasts over the Internet or, in general, on non-reproducible audio streams. To enter the competition, send an email to : Aggelos Pikrakis Uof Piraeus. Greece pikrakis(a)unipi.gr 3) Predict pathological cases in pregnant women during labour using cardiotography data. The challenge is to detect with high accuracy when a child is genuinely compromised before medical intervention is considered. For this competition, participants will be given an open dataset containing 552 intrapartum recordings, which can be access online via physionet.org. Contact : Paul Fergus. IJCNN2015 Competition on pathological pregnanacies. Liverpool John MooresU. UK p.fergus(a)ljmu.ac.uk 4) Neural Network based Weather Prediction Competition The importance of being able to accurately predict Weather cannot be overstated; beyond predicting catastrophic events such as storms or unusually severe spells of cold or heat, weather has a dramatic effect on a population's day to day health and behaviour and a significant impact on the economy. This competition involves the prediction of minimum maximum Temperatures The Dataset covers historic daily values for the period between 1st January 2007 and 30th September 2014, for the Oak Park Weather Station, which is the closest weather station to the IJCNN2015 conference venue. . 20th April 2015: Brief description of the algorithm used and generalisation results. . 20th May 2015: Announcement of the competition results Inquiries and submissions should be made through : David Reid. Liverpool Hope University. UK, reidd(a)hope.ac.uk Hissam Tawfik. IJCNN2015 Weather Competition. Liverpool Hope University. UK tawfikh(a)hope.ac.uk * PLENARY SPEAKERS - Steve Furber, The ICL Professor of Computer Engineering at the School of Computer Science at the University of Manchester "The SpiNNaker Project" - Vincenzo Piuri, Professor in Computer Engineering at the University of Milan, Italy "Computational Intelligence Technologies for 3D Surface Reconstruction" - Lee Giles, The David Reese Professor at the College of Information Sciences and Technology at the Pennsylvania State University "Machine Learning and Data Mining for Scholarly Big Data" - Marios M. Polycarpou, Professor, Department of Electrical and Computer Engineering, University of Cyprus, Cyprus "Fault Detection and Isolation in Uncertain Big-Data Environments" - Barak Pearlmutter, Professor, Department of Computer Science, National University of Ireland, Ireland "Critical Dynamics and Pathological Phenomena in the Brain" - Giacomo Rizzolati, Professor of Human Physiology at the University of Parma, Italy "The double life of the motor system: Action production and action understanding" * Deadlines for Submission: - Paper submission deadline: February 05, 2015 (EXTENDED) - Paper Decision notification: March 25, 2015 - Camera-ready submission: April 25, 2015 - Conference: July 12-17, 2015 * Hotel Reservations: The Killarney region is an extremely popular tourist destination, and rooms that have been reserved for IJCNN 2015 will likely disappear as soon as the contracted booking date has passed. For that reason we strongly recommend that you book your hotel room by 01May2015! (see the IJCNN2015 home page for our accommodations at the Gleneagle Hotel, the Brehon Hotel and the River Apartments). * IJCNN Killarney site video: Marianne van Wagner, Executive Co-ordinator of the International Neural Network Society (INNS), commissioned this delightful promotional video for IJCNN2015, based on her own photographs : Killarney tour. It's well worth looking at for the local Irish scenery, and for background information about the conference. (You may have to download it if your internet connection is slow.) Keep working on your paper submissions, and submit your proposals for Tutorials and Workshops SOON! Email any of the Chairs if you wish to discuss your ideas for proposals. IJCNN General Chair De-Shuang Huang, Tongji University, China, Director - Machine Learning and Systems Biology Laboratory IJCNN Program Chair Yoonsuck Choe, Texas A&M University Director, Brain Networks Laboratory Many thanks to our Sponsors and Contributors: - International Neural Network Society - IEEE Computational Intelligence Society - Failte Ireland, National Tourism Development Authority. -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/

Feb. 2, 2015

Masters in Evolutionary and Adaptive Systems at University of Sussex

by Thomas Nowotny

Dear comp-neuro community, The Evolutionary and Adaptive Systems MSc is open for applications. One of its core strengths is Computational Neuroscience. For the first time the University of Sussex is offering additional scholarships to MSc students this year. For more information see the EASy MSc website<http://www.sussex.ac.uk/easy/smsc>, download the Flyer<http://www.sussex.ac.uk/easy/documents/easymscposter2015.pdf> or read on below. If you have students who may be interested in this opportunity, please pass this information on and/or consider posting the Flyer<http://www.sussex.ac.uk/easy/documents/easymscposter2015.pdf>. With best regards, Thomas Nowotny -- Prof. Thomas Nowotny CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics Fax: +44-1273-877873 University of Sussex Falmer, Brighton BN1 9QJ http://sussex.ac.uk/informatics/tnowotny — Detailed information: Since 1996, the University of Sussex has offered a Master of Science (MSc) degree in Evolutionary and Adaptive Systems (EASy). The study of natural and articial evolutionary and adaptive systems is at the heart of rapidly developing areas from articial intelligence, adaptive behaviour and autonomous robotics to computational neuroscience, consciousness and cognitive science. Sussex is internationally renowned for its research in these areas. The EASy MSc provides a solid foundation with topics including: articial life, adaptive systems, computational neuroscience, neural networks, biologically inspired robotics, dynamical systems approaches to cognition, mathematics of complex systems, neuroscience of consciousness, evolutionary computation and biological Modelling. The well established EASy programme is taught by leading experts and there are many opportunities to interact with the thriving Sussex research community, including the Centre for Computational Neuroscience and Robotics (CCNR), the Sackler Centre for Consciousness Science, Sussex Neuroscience and the Centre for Cognitive Science (COGS). Students have access to specialist facilities including robotics labs, high-performance computing and neuroscience research facilities. Students take eight taught courses, followed by an individual research project during the summer. The project is supervised by a member of faculty. It is not unusual for dissertation work to be published in international conference proceedings or journals. Of the large number of students who have graduated from the EASY MSc, 50% have later obtained doctorates and some have gone on to glittering careers in research. Others have forged thriving business careers, with several setting up highly successful companies. Grants of up to £10,000 are available at Sussex (http://www.sussex.ac.uk/study/money/scholarships/ ). Additionally, due to a generous donation from Andrew Pegge, two Pegge Scholarships are awarded annually to EASy MSc students. The scholarships are open to all, and awarded on merit. How to Apply: To apply to the EASy MSc please go to: http://www.sussex.ac.uk/study/pg/applying/ and choose the EASy MSc taught programme. Is EASy Right for Me? Are you excited by fundamental questions in adaptive behaviour, biology and technology such as: How are insects so successful despite their tiny brains? Or, can we build machines as intelligent as animals? Are you interested in embodied AI? The origin of consciousness? Complexity? Whatever your background, if you answer ‘yes’ to any of these questions, our MSc is right for you. More information: http://www.sussex.ac.uk/easy/smsc or email Andy Philippides <andrewop(a)sussex.ac.uk>

Feb. 2, 2015

PostDoc position: stochastic signal processing and probability computation

by Pierre Bessière

PostDoc position: stochastic signal processing and probability computation Position available at ISIR (Institut des Systèmes Intelligents et de Robotique) from Sorbonne Université - Université Pierre et Maris Curie, 4 place Jussieu, Paris: http://www.isir.upmc.fr/ <http://www.isir.upmc.fr/> Context: The framework of this position is the FP7-ICT European project BAMBI (Bottom-up Approaches to Machines dedicated to Bayesian Inference) launched in January 2014 for 3 years: https://www.bambi-fet.eu/ <https://www.bambi-fet.eu/> Content: The objective of the position is to develop theoretical studies and simulations of several ways to encode probability distribution with stochastic signals and to process these signals to implement probabilistic inferences. These studies should be done in strong interaction with our partners of the project working in the fields of fundamental electronics and spintronics. The researcher will have first to do a review of existing studies, including ongoing works done in our group and partners. He will then propose methods for the evaluation of building blocks performing basic probabilistic computation with stochastic signals, with a special focus on dynamic properties. Outcomes of these works will be published in international conferences and project deliverables. Competences: Good mathematical proficiency, especially in the field of probability theory and Markov models, is required. A perfect mastering of programming languages (C/C++, Python, Matlab) is also necessary. Duration: One year starting in spring 2015, with a possible prolongation until the end of the project (December 2016). Salary: Around 2500 euros/month, depending on previous research experience. Please submit CV and references by mail to Pierre Bessière (pierre.bessiere(a)isir.upmc.fr <mailto:pierre.bessiere@isir.upmc.fr>) and Jacques Droulez (jacques.droulez(a)isir.upmc.fr <mailto:jacques.droulez@isir.upmc.fr>). _________________________________ Pr. Pierre Bessière - CNRS ********************** SORBONNE Universités - UPMC - ISIR http://bayesian-programming.org <http://bayesian-programming.org/> Tel: +33 1 44 27 51 54 Skype: Pierre.Bessiere Pyramide - T55/65 CC 173 - 4 Place Jussieu 75005 Paris FRANCE _________________________________

Feb. 2, 2015

Transylvanian Experimental Neuroscience Summer School (TENSS)

by Tomas Hromadka

Dear colleagues, Please find below an announcement about the fourth edition of the Transylvanian Experimental Neuroscience Summer School (TENSS). We would be very grateful if you could forward this announcement to potentially interested people. Transylvanian Experimental Neuroscience Summer School (TENSS) June 1-19, 2015. The Pike Lake, Transylvania, Romania www.tenss.ro TENSS will concentrate top-level international expertise to teach a dozen students techniques and concepts in experimental systems neuroscience. We will focus on modern optical and electrophysiological methods to study the connectivity and function of neuronal circuits. The course is designed to be intensive and highly interactive, including both lab sessions and theoretical lectures. Coursework will take place in a land of myth and legend, beyond large forests (Transylvania), on the shores of a picturesque natural reserve called Pike Lake. Applications are welcome from interested (and interesting) graduate students and postdocs. Please note that the registration fee has been reduced and there is a significant number of full and half waivers available for supporting our applicants. Application deadline -- March 1st, 2015 Notification of acceptance -- March 21st, 2015 Summer School -- June 1-19th, 2015 Confirmed lecturers: Acsády, László -- Institute of Experimental Medicine of the Hungarian Academy of Sciences, Budapest Albeanu, Florin -- Cold Spring Harbor Laboratory, NY, USA Battaglia, Francesco -- Radboud University Nijmegen, Netherlands Bhalla, Upinder -- National Centre for Biological Sciences, Bangalore, India Burrone, Juan -- King's College, London, UK Engert, Florian -- Harvard University, Cambridge, MA, USA Gradinaru, Viviana -- California Institute of Technology, Pasadena, CA, USA Häusser, Michael - University College, London, UK Hofer, Sonja -- Biozentrum, University of Basel, Switzerland Hromádka, Tomáš -- Institute of Experimental Medicine, Prague, Czech Republic Hübener, Mark -- Max Planck Institute of Neurobiology, Martinsried, Germany Ji, Na -- HHMI, Janelia Farm, USA Kampff, Adam -- Champalimaud Foundation, Institute for the Unknown, Lisbon, Portugal Keller, Georg -- Friedrich Miescher Institute, Basel, Switzerland Mrsic-Flögel, Tom -- Biozentrum, University of Basel, Switzerland Muresan, Raul -- Coneural, Romanian Institute of Science and Technology, Cluj-Napoca, Romania Monyer, Hannah -- University of Heidelberg, Germany Murthy, Venkatesh -- Harvard University, Cambridge, MA, USA Nikolic, Danko -- Max Planck Institute for Brain Research, Frankfurt, Germany Roska, Botond -- Friedrich Miescher Institute, Basel, Switzerland Rumpel, Simon -- University of Mainz, Germany Singer, Wolf -- Max Planck Institute for Brain Research, Frankfurt, Germany Whitlock, Jonathan -- Kavli Institute for Systems Neuroscience, Trondheim, Norway Organizers: Muresan, Raul -- Coneural, Romanian Institute of Science and Technology, Cluj-Napoca, Romania Kampff, Adam -- Champalimaud Foundation, Institute for the Unknown, Lisbon, Portugal Albeanu, Florin -- Cold Spring Harbor Laboratory, NY, USA Information about how to apply can be found here: http://tenss.ro/apply/. Best regards, TENSS Organizing Committee contact(a)tenss.ro

Feb. 2, 2015

Call for Participation: VISUM Summer School (25 days until deadline)

by Ricardo Gamelas Sousa

Apologies for cross-posting. --- Call for Participation 3^rd VISion Understanding and Machine intelligence summer school, Porto, Portugal First Computer Vision Summer School with an industrial track 2-9 July, 2015 http://www.fe.up.pt/visum/|Facebook: http://goo.gl/FbVNtq *Important Dates* Application Deadline March 1, 2015 Decision March 8, 2015 Early Registration April 10, 2015 Late Registration May 8, 2015 Summer School July 2-9, 2015 *Visum will comprise three main tracks* 1.Fundamental subjects 2.Examples of computer vision applications 3.Industrial session Each one with extensive practical “hands-on” sessions* * *Topics* Randomised Decision Forests and Tree-structured Algorithms in Computer Vision Tae-Kyun Kim, Imperial College London, UK Local Features Extraction and Description Jiri Matas, Czech Technical University, CZ Document Image Analysis Alicia Fornes, Universitat Autònoma de Barcelona, ES Scene Understanding Martial Hebert, CMU, USA Automatic Facial Expression Recognition Michel Valstar, University of Nottingham, UK RGB-D Cameras Thomas Whelan, Imperial College London, UK *Applications* Point Clouds 3D* João P. Costeira, IST, PT ** *Tentative titles *Industry Track* http://asap54.com/ Daniel Heesch www.enermeter.pt/en Manuel João Ferreira www.philips.com Jacek Kustra *Venue* visum will take place in Porto, Portugal’s second-largest city, European Best Destination 2012 and Lonely Planet’s top 10 for 2013. Here, you can find famous baroque style monuments, the worldwide known Port Wine cellars, always having the World Heritage Douro River as the background of this youthful, active and charming city. visum’s program includes social activities. *Accommodation*** *Tattva Design Hostel* Students will have 10% of discount. The prices include: Buffet breakfast, Wi-Fi all over the building, 4 computers in Lounge area, free linen, free locks, free City Maps, free Luggage Storage, free Portuguese Lessons, free Walking Tours, Happy Hour (exclusive prices for TattvaBar for guests). *Hotel da Música* All accepted participants will have a special price included in visum’s fees. Hotel da Música is a luxurious 4-star property set in a prime location in the centre of Porto. Local tourist attractions such as Rotunda da Boavista, Casa da Musica and Hospital Militar are not far from the hotel. Hotel da Música is equipped with free wifi. For more details please follow the link: http://www.hoteldamusica.com/and do not forget to check the special conditions at http://www.fe.up.pt/visum/ Please visit our webpage for up to date information: http://www.fe.up.pt/visum/. We are looking forward for your participation! visum organising committee Tiago Esteves, INEB, Faculdade de Engenharia da Universidade do Porto Kelwin Fernandes, INESC TEC, Faculdade de Engenharia da Universidade do Porto Eduardo Marques, INESC TEC, Faculdade de Engenharia da Universidade do Porto Ana Rebelo, INESC TEC, Universidade do Porto Ricardo Sousa, INEB, Universidade do Porto Luís Teixeira, INESC TEC, Faculdade de Engenharia da Universidade do Porto Follow us on: Facebook: http://www.facebook.com/pages/visum/402527539813446 Google+: https://plus.google.com/104076275960053201744/posts Twitter: http://www.twitter.com/visumschool

Feb. 2, 2015

Okinawa/OIST Computational Neuroscience Course 2015: application deadline soon

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2015 Methods, Neurons, Networks and Behaviors June 8 - June 25, 2015 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 8th through June 25th, 2015 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; they will close February 8th, 2015. Applicants will receive confirmation of acceptance in March. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. We invite those who are interested in integrating experimental and computational approaches at each level, as well as in bridging different levels of complexity. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Gordon Arbuthnott (OIST) • Axel Borst (MPI, Münich, Germany) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Eugene Izihikevich (Brain Corporation, USA) • Bernd Kuhn (OIST) • Peter Latham (Gatsby Unit, UCL, UK) • Miguel Nicolelis (Duke University, USA) • Steve Prescott (University of Toronto, Canada) • John Rinzel (New York University, USA) • Jackie Schiller (Technion, Israel) • Greg Stephens (OIST) • Jeff Wickens (OIST) • Taro Toyoizumi (RIKEN BSI, Japan) • Xiao-Jing Wang (New York University, USA) • Wako Yoshida (ATR, Japan)

Feb. 2, 2015

European Spring School on Integrated Cognitive Systems (Herbert Jaeger)

by Herbert Jaeger

Invitation to Participate: INTERDISCIPLINARY COLLEGE 2015 www.interdisciplinary-college.de An intense, decidedly interdisciplinary Spring School in Cognitive and Computational Neuroscience, Machine Learning, Psychology, AI and Philosophy. Guenne, Lake Moehne, Germany - March 6-13, 2015 Chairs: Herbert Jaeger, Ansgar Bueschges Fokus theme 2015: From Neuron to Person: Assembling Behavior and Cognition *The Interdisciplinary College* (IK) is an annual European one-week spring school, now in its 18th year. It offers a dense, rich, 4-track state-of-the-art course program in the wider sciences of intelligent/cognitive systems. The perspective and mission is decidedly interdisciplinary. The IK is also a unique social and networking event. Minds meet, music is played, and friends are made in long evening and night sessions in the welcoming conference site at Lake Moehne. Each IK is centered on a *focus theme*. In 2015 the focus is on integrated, complex cognitive systems. Research in the wider cognitive and neurosciences (including AI, machine learning and robotics) often deals with specific subsystems or functions, like "motor control", "object recognition", "working memory", etc. There are numerous reasons for this fragmentation: a divide-and-conquer strategy of isolating subsystems has been very successful in the sciences; commercially relevant applications mostly are centered on single functionalities; interdisciplinary research is not easy in practice. Defying these obstacles, the IK 2015 will cast its focus on complete, autonomous agents -- animals, humans, robots, and software characters. An offering of 25+ courses (each course 4-6 hours) is grouped under the following perspectives: - *Modeling cognitive architectures*: theoretical / mathematical / computational frameworks to analyse or design complete intelligent agents - *Person, Identity, Dignity*: philosophical / psychological / ethics perspectives on sentient beings - *Engineering Agents*: technological approaches to build robots and software agents - *Neurons, Muscles, Bodies*: "bottom-up" modeling of sensing and motor control in neurobiology, genetics and motor science - *Language and Thought*: "top-down" modeling of higher cognitive capacities in cognitive psychology and linguistics Please visit www.interdisciplinary-college.de for the detailed program, venue and registration and everything else, including the IK's 30-year-long history. Participants from outside Europe are of course most welcome too! ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

Feb. 1, 2015

Call for Applications: School on Neurotechnologies 2015 (March 23-27, 2015) at Padova, Italy.

by Mufti Mahmud

Dear All, Sorry for the cross posting of this message. I am glad to communicate that the NeuroChip Laboratory of University of Padova, Padova, Italy is organizing a School on Neurotechniques with special emphasis on "Tools for Investigating the Function of Neural Circuits". The school will be held from March 23 – 27, 2015 and the deadline for application is February 20, 2015. The following topics will be covered in the school: 1. Multi-electrode and multi-transistor arrays 2. Implantable brain probes for acute and chronic recording 3. Calcium imaging 4. Voltage sensitive dye imaging 5. Optogenetics 6. Transcranic magnetic stimulation and EEG 7. Mixed electrophysiology, genetics and behavior approaches 8. Information theory and the analysis of neuronal population signals 9. Closed-loop electrophysiology and hybrid neuromorphic-neural systems Thank you for your attention. Best regards, Mufti Mahmud Call for participation ------------------------- School on Neurotechniques 2015: The toolbox for investigating the function of neural circuits 23-27 March 2015 NeuroChip Lab, University of Padova, Italy Website: http://www.vassanellilab.eu/school-neurotechniques/ OBJECTIVE Investigating information processing and identifying operational rules of brain neural circuits relies on the capability to selectively record and stimulate multiple neurons within a network. The toolbox of available techniques conceived to meet this need is rapidly expanding. The CSN School on Neurotechniques 2015 will offer an overview on advanced electrical- and light-based recording methods of neuronal excitability, focusing on those that are most relevant for the investigation of neural networks ‘in vitro’ and ‘in vivo’ and for application in neuroprosthetics. Techniques derived from information theory for the analysis of neuronal population signals will be presented and practical demonstrations of experimental recording sessions provided. The school targets doctoral students, post-doctoral researchers, scientists working in the related fields. Since the school's topics are interdisciplinary covering neurobiology, neuronal biophysics, microscopy, and electronics, preliminary knowledge in these fields is highly recommended. SPEAKERS Luca Berdondini, Italian Institute of Technology, Italy Paolo Del Giudice, National Institute of Health, Italy Stefano Ferraina, University of Rome ‘La Sapienza’, Italy Marta Giacomello, University of Padova, Italy Michele Giugliano, University of Antwerp, Belgium Bernd Kuhn, Okinawa Institute of Science & Technology, Japan Gabriele Losi, CNR Institute of Neuroscience, Padova, Italy Sergio Martinoia, University of Genova, Italy Marcello Massimini University of Milan , Italy Silvestro Micera, EPFL, Switzerland & SSSUP, Italy Ofer Yizhar, Weizmann Institute of Science, Israel Stefano Panzeri, Italian Institute of Technology, Italy Patrick Ruther, University of Freiburg, Germany Roland Thewes, University of Berlin, Germany Paul Verschure, Pompeu Fabra University, Spain Guenther Zeck, NMI at the University of Tuebingen, Germany Ralf Zeitler, MPI for Intelligent Systems, Germany REGISTRATION To apply, please register at ( http://www.vassanellilab.eu/school-neurotechniques/registration/) on or before February 20, 2015. If you have any further questions, please contact silviamaria.lattanzio(a)unipd.it or stefano.vassanelli(a)unipd.it The registration is FREE, however, the number of places are limited. The registration is sponsored by the European Commission, Project CSNII csnetwork.eu (GA No 601167, FP7, FET Proactive, Neuro-Bio-Inspired Systems). Travel and accommodation costs are not funded. LOCATION The school will be hosted by the NeuroChip Laboratory, Department of Biomedical Sciences, University of Padova, Via f. Marzolo 3, 35131 - Padova, Italy. The location is very close the city centre and is easily reachable from the railway or bus station of Padova. WHEN March 23-27, 2015. Target audience (N = ~25 active full-time): PhD students, postdoctoral researchers, scientists, members of associated EC CSNII consortia.

Jan. 31, 2015

Workshop announcement at the EITN March 2-4 2015

by EITN

More information and registration on the following website http://eitnconf-020315.sciencesconf.org/ *Due to a limited number of seats, the registration is free however mandatoty **March 2nd-4th 2015, EITN Paris 1^st community workshop HBP network simulator* *“Are we building the right thing? – Requirements from theory for simulation environments and neuromorphic computing”* http://www.eitn.org Organized by Andrew Davison, Jeff Muller, Jochen Eppler, David Lester, Abigail Morrison and Markus Diesmann in collaboration with the EITN.** ***Abstract* The HBP creates novel ICT infrastructure for the neuroscience community. Simulation engines in software and hardware for different levels of description are accessible through a unified collaboration portal (UP) providing version control and provenance tracking. The simulation engine for networks of abstract spiking neuron models called the network simulator provided by the software NEST particularly targets theoretical neuroscience and neurorobotics. This workshop presents the capabilities of the network simulator and the corresponding PyNN expressions as available at the end of the ramp-up phase of the HBP in March 2016. Neuromorphic hardware provided by the NM-PM1 (Heidelberg) and SpiNNaker (Manchester) systems enable the translation of a restricted set of software models to a platform with accelerated speed and reduced power consumption for high-throughput studies and interaction with the real world. With this background, the main part of the workshop is reserved for a discussion of the scientific challenges and plans of theoretical neuroscience to derive future requirements on the simulation engine. This will help developers to optimize the roadmap of the second phase of the HBP with the aim to maximize usefulness, uptake, and impact.

Jan. 30, 2015

CFP: Special Session on Quantifying Embodiment, ECAL 2015

by Keyan Ghazi-Zahedi

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

Jan. 30, 2015

New book: Analysis and modeling of multi-neuronal activity

by Tatsuno, Masami

* Apologies if you receive multiple copies of this email * Dear Colleagues, Some of you might be interested in our recent book, Analysis and Modeling of Coordinated Multi-neuronal Activity (Springer Series in Computational Neuroscience, Vol. 12). The book covers - State-of-the-art introduction of multi-electrode recordings and how they contribute to the understanding of hippocampal memory - Overview of the modeling approach to hippocampal memory - Presentation of hippocampal local circuits and hippocampal-cortical interactions http://www.springer.com/biomed/neuroscience/book/978-1-4939-1968-0 http://www.amazon.com/Analysis-Coordinated-Multi-neuronal-Computational-Neu… Best regards, Masami Tatsuno (Editor) University of Lethbridge, AB, Canada ----- Table of Contents 1. Techniques for Large-Scale Multiunit Recording; H. Steenland and B. McNaughton 2. Silicon Probe Techniques for Large-Scale Multiunit Recording; H. Steenland and B. McNaughton 3. Overview of Neural Activity in the Awake and Sleeping Hippocampus; M. Eckert and M. Tatsuno 4. Associative Reactivation of Place-Reward Information in the Hippocampal-Ventral Striatal Circuitry; C. Lansink and C. Pennartz 5. Hippocampal Sequences and the Cognitive Map; A. Wikenheiser and D. Redish 6. Reorganization of Hippocampal Place- Selective Patterns During Goal-Directed Learning and Their Reactivation During Sleep; D. Dupret and J. Csicsvari 7. Causal Relationship Between SPWRs and Spatial Learning and Memory; G. Girardeau and M. Zugaro 8. Packets of Sequential Neural Activity in Sensory Cortex; A. Luczak 9. Coordinated Sequence Replays Between the Visual Cortex and Hippocampus; D. Haggerty and D. Ji 10. Memory Consolidation, Replay, and Cortico- Hippocampal Interactions; E. Holleman and F. Battaglia 11. Memory Reactivation in Humans; J. Farthouat and P. Peigneux 12. Models and Theoretical Frameworks for Hippocampal and Entorhinal Cortex Function in Memory and Navigation; N. Schultheiss, J. Hinman, and M. Hasselmo 13. Information Encoding and Reconstruction by Phase Coding of Spikes; Z. Nadasdy 14. Reinforcement Learning and Hippocampal Dynamics; A. Johnson and S. Venditto 15. Off-Line Replay and Hippocampal- Neocortical Interaction; S. Káli

Jan. 29, 2015

postdoc in decision-making at Princeton

by Carlos Brody

Postdoc in computational neuroscience of decision-making. My group <http://brodylab.org/> at Princeton University is looking for a talented computational postdoc to work on theory-driven modeling and data analysis of the neurophysiology of decision-making. We carry out both computational modeling (e.g., Brunton et al., Science 2013 <http://www.sciencemag.org/content/340/6128/95.full>) and experiments (e.g., Hanks, Kopec et al., Nature 2015 <http://www.nature.com/nature/journal/vaop/ncurrent/full/nature14066.html>), and this computational position will provide a powerful opportunity to influence and help direct experiments as they are conceived and develop. The data to be worked with will focus on simultaneous multi-neuron recordings, both electrophysiological and using two-photon cellular-resolution imaging (e.g., Scott et al., Neuron 2013 <http://www.sciencedirect.com/science/article/pii/S0896627313007125>), in decisions driven by accumulation of evidence. We are working towards single-trial, population-level understanding of the neural circuit mechanisms underlying decision-making. A background in quantitative sciences (e.g., machine learning, physics, math, computer science) is preferred and a strong interest in neuroscience is required. Please contact me directly at brody(a)princeton.edu <mailto:brody@princeton.edu> with a brief email describing your interests, your CV, and the names and contact info for two references. I look forward to hearing from you! Carlos Brody http://brodylab.princeton.edu <http://brodylab.princeton.edu/> ----------------------------------------------------------------------- Carlos Brody (609) 258-7645 brody(a)princeton.edu <mailto:brody@princeton.edu>Howard Hughes Medical Institute & Princeton University Princeton Neurosci. Inst. & Dept. of Molecular Biology 155 Princeton Neuro Inst, Washington Rd, Princeton NJ 08544 http://brodylab.princeton.edu <http://brodylab.princeton.edu/> -----------------------------------------------------------------------

Jan. 29, 2015

Tangermann lab (Freiburg) -- PhD position in BCI

by Michael Tangermann

Dear colleagues, I have an interesting open PhD position in my lab in Freiburg. Would you please circulate it in your labs and on email lists? Thanks a lot and snowy greetings from the Black Forrest, Michael --- snip --- PhD Position: Brain-Computer Interfaces in Cognitive Rehabilitation after Stroke BrainStateDecoding Lab of Dr. Michael Tangermann (Computer Science Dept.); payment level: TV-L E13 (65%); duration: 3/2015-2/2017 Brain-Computer Interface (BCI) systems make use of machine learning methods to cope with the challenges which appear during the decoding of individual brain signals in real-time. Within the BrainLinks-BrainTools cluster of excellence at the University of Freiburg (Germany), we evaluate whether BCI methods can be applied clinically outside of classical control paradigms. The PhD student will explore the use of BCI methods to support neurological rehabilitation training of speech and attention-related deficits after stroke. Scientific challenges comprise the development and investigation of brain signal analysis methods capable to describe rapid fluctuations of brain states and to assess the dynamics of network structures connecting brain areas. Working Areas (among others): * Theories (statistics, mathematics) and algorithms in the field of machine learning, with special emphasis on adaptive methods for the real-time decoding of mental states; software implementations thereof. * Conducting EEG studies with healthy controls and stroke patients. * Analysis of EEG experiments. * Supervision of Bachelor students. * Scientific dissemination of results (conferences, publications). Requirements: * Excellent Master studies on Computer Science, Mathematics, Electrical Engineering, Biomedical Engineering, Cognitive Science or closely related fields. * Knowledge in theory and methods of machine learning / artificial intelligence; very good math knowledge (specifically in probability theory, statistics, linear algebra). * Good knowledge about the design, the analysis and implementation of algorithms; experience with mathematical software (e.g. Matlab). * Hands-on experience in the design, execution and analysis of electrophysiological experiments, and in signal processing of EEG-, EMG-, EOG- or ECoG data. * Excellent communication skills in English The BrainStateDecoding Lab: The international lab is embedded into the Cluster of Excellence BrainLinks-BrainTools at the University of Freiburg. The cluster provides supporting career actions for PhD students. Tight collaborations with other BLBT groups are the basis for investigating novel machine learning approaches for the real-time analysis of brain signals. The activities range from theory development to BCI applications in a clinical context and for healthy users. Implementing an equal-chances policy and family-friendly working conditions, we explicitly encourage applications of female researchers. Handicapped applicants will be given priority to non-handicapped applicants, if they have comparable qualifications. Further information: www.bsdlab.uni-freiburg.de, www.brainlinks-braintools.uni-freiburg.de and via Dr. Tangermann. How to apply: Please state the position code BCI-4 when sending your application documents (including a CV, statement of your research interests, list of publications, references, Master and Bachelor degrees and course lists) as a single PDF document via email to Dr. Michael Tangermann (michael.tangermann(a)blbt.uni-freiburg.de) -- Dr. Michael Tangermann Phone: +49.(0)761.2038423 Fax : +49.(0)761.2038417 University of Freiburg BrainLinks-BrainTools Excellence Cluster Brain State Decoding Lab Albertstr. 23, Room 0.003 79104 Freiburg, Germany http://www.bsdlab.uni-freiburg.de

Jan. 29, 2015

Postdoctoral fellowships in computational neuroscience and neuroengineering at U. Washington

by Adrienne Fairhall

We invite applications for the Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering at the University of Washington in Seattle. These fellowships are offered through the UW Institute for Neuroengineering, which aims to stimulate research excellence in the development of novel approaches to the understanding and manipulation of brain function. These highly selective fellowships fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines (CS, engineering, mathematics, biology) is strongly encouraged. Applications are due by March 13, 2015. Please see http://uwin.washington.edu/post-docs/ for more details.

Jan. 28, 2015

PhD position in decoding algorithms for PNS - closing soon

by Simon Schultz

The following PhD studentship (part of the new Centre for Doctoral Training in Neurotechnology at Imperial College) is closing very soon (30th January). I would like to encourage applicants with good theoretical skills (e.g. math/physics/electrical-engineering) to apply. Peripheral nerve decoding algorithms for bioelectronic medicines Simon Schultz (Bioengineering), Nick Jones (Maths), Hannah Tipney (GSK) Bioelectronic medicine, in which devices connected to groups of individual nerve fibres are used to control the patterns of electrical signals to restore health to organs and biological functions, has been suggested to have the potential to make major advances in the treatment of conditions resistant to drugs, including diabetes, obesity, hypertension and pulmonary diseases (Famm et al, Nature 496:159-61, 2013). The development of bioelectronic medicines, however, is contingent upon the existence of suitable technology for monitoring and perturbing activity in peripheral nerve fibres; in particular, being able to “read out” and interpret signals carried by a peripheral nerve fibre is an essential milestone. In this project, we will develop decoding algorithms capable of reading out both continuous physiological signals, and discrete “events”, from peripheral nervous system (PNS) electrical signals. These algorithms will be applied to a variety of datasets collected by members of a research network in Bioelectronic Medicines that has been established by GlaxoSmithKline, plc. The project will involve two phases. The first year will comprise an MRes Project, in which the student will gain a deep understanding of the different approaches that can be taken to decoding physiological signals, testing algorithms on simulated data, which will be generated in the course of the project; we expect this computational model of a peripheral nerve to be a major output of the MRes year. In the following years, and exploiting and advancing a new signal processing architecture, the student will develop refined decoding algorithms optimised for use with peripheral nerve signals at several spatial scales, and will work with research groups across the GSK network to apply these algorithms to real PNS datasets. To apply, see the Centre for Neurotechnology website: http://www3.imperial.ac.uk/neurotechnology/cdt/application

Jan. 28, 2015

Conference and workshops (call for submissions) - Transdisciplinary Approaches to Cognitive Innovation – CogNovo: ‘Off the Lip’ – September 7-11 2015.

by Info Cognition (General Enquiries)

APOLOGIES IN ADVANCE FOR ANY CROSS-POSTING! Short papers, posters and workshop proposals are invited for a conference to be held at Plymouth University, UK (7th-11th September 2015). Full details of the CogNovo Conference ‘Off the Lip’ (Transdisciplinary Approaches to Cognitive Innovation) can be found below. Please forward to anyone else you think may be interested. Best wishes, Zoë. Zoë Foster-Smith Cognition Institute with Plymouth University http://www.plymouth.ac.uk/research/cognition [cid:image001.jpg@01D03AEE.A35CF4B0] OFF THE LIP: Transdisciplinary Approaches to Cognitive Innovation Workshop and Conference: Preliminary notice and call for participation 7-11 September 2015 Workshops: 7-8 September, Conference: 9-11September University of Plymouth, Plymouth, UK Short papers, posters and workshop proposals are invited for a conference to be held at the University of Plymouth, UK between 7-11 September 2015. Confirmed Plenary Speakers: Amy Ione, Director of the Diatrope Institute, Berkeley, California, USA Roger Malina, Distinguished Professor of Arts and Technology, Professor of Physics, University of Texas at Dallas, USA Sundar Sarukkai, Professor and Director of the Manipal Centre for Philosophy and Humanities, Manipal, India The promise of cognitive innovation as a collaborative project in the sciences, arts and humanities is that we can approach creativity as a bootstrapping cognitive process in which the energies that shape the poem are necessarily indistinguishable from those that shape the poet. For the purposes of this conference the exploration of the idea of cognitive innovation concerns an understanding of creativity that is not exclusively concerned with conscious human thought and action but also as intrinsic to our cognitive development. As a consequence, we see the possibility for cognitive innovation to provide a theoretical and practical platform from which to address disciplinary differences in ways that offer new topics and concerns for research in the sciences and the humanities. Papers should consider cognitive aspects of creativity, including but are not confined to: - Poetics, language and cognition - The dynamics and performativity of imagination - Affect and named emotions - Affective artefacts (artefacts as scaffolding device for mind) - Creativity as a ‘self corrective process’ - Cognition as creativity - Memory, metaphor, and media literacy - Archives, identity and emotionality - Art, mental health and consciousness - Networking and Network Studies - Creativity and mental imagery - Creativity and innovation in development - Social creativity - Neuroscience of creativity - Creativity as an iterative process - Simulating and modelling creativity Workshops The workshops will engage participants in the contributions made by past and current research in the Humanities in the understanding of cognition as a creative interaction with daily life. We are especially interested in case-studies and examples that will suggest how to build bridges between current trends in the cognitive sciences and established bodies of knowledge. We are inviting proposals for workshops of 90-120 minutes comprising small panels, structured discussions and practical explorations. Small grants are available to support workshop logistics. Conference papers Proposals are invited for papers dealing with responses to the research challenge of cognitive innovation from the sciences and humanities. We are particularly interested in offering opportunities for reporting on recent and emerging work in all disciplines and will give special attention to speculative approaches that involve more than one discipline. Papers (20 minutes) will be delivered in 30 minute slots to allow good time for discussion. Papers may also be presented as posters in the interactive poster+ session. Poster+ We encourage non-traditional forms of research presentations in the context of the familiar conference poster event. CogSlam Propose 6-minute cognition-related artworks including screenings, mini-lectures and performances to be interleaved with spontaneous contributions from delegates reflecting on the day’s discussions and exchanges. To submit a paper,poster or CogSlam please send a title and abstract of no more than 300 words together with a brief bio to Dr. Martha Blassnigg: m<mailto:rebecca.pearce@plymouth.ac.uk>artha.blassnigg(a)plymouth.ac.uk (Deadline 15th May 2015) If you would like to propose a workshop, please send a workshop title and brief abstract of 300-500 words and an outline of expected costs to Prof. Michael Punt: michael.punt(a)plymouth.ac.uk<mailto:michael.punt@plymouth.ac.uk> (Deadline 28th February 2015) There are no conference registration fees for students and a nominal fee of € 50 for all other participants to cover lunches and coffee, with an additional € 30 for those delegates wishing to attend the conference dinner. The conference administrator can assist with bookings for accommodation. _____________ Off the Lip is a collaboration between CogNovo (cognovo.eu) and Transtechnology Research (trans-techresearch.net) at the Cognition Institute, University of Plymouth. CogNovo is funded by the Marie Curie Initial Training Network FP7-PEOPLE-2013-ITN, grant number 604764. ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

Jan. 28, 2015

POSTDOCTORAL RESEARCH FELLOWSHIP IN NEUROECONOMICS

by Jean-Claude DREHER

Center for Cognitive Neurocience, Lyon, France. Applications are invited for a postdoctoral position to study social decision making using model-based fMRI in healthy subjects and intracranial recordings in patients with epilepsy. Our research group combines multimodal neuroimaging with computational modelling to characterize the neural mechanisms underlying human social decision making. The focus of the project will be to unravel the neural correlates of social decision making using probabilistic representations of other’s intentions. We will use such approach to model ways in which we predict hypothetical action outcomes, the intentions of others and whether the other is cooperative or competitive. This will be implemented by parallel models and experiments using multimodal intracranial recordings and fMRI in humans to exploit maximally the experimental advantages of each technic. Candidates must have (or nearing completion of) a PhD degree in neuroscience, social psychology, behavioral economics, computational neuroscience or a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (EEG and/or model-based fMRI). The candidate must also have working knowledge of experimental statistics, signal processing and excellent programming skills in Matlab. Previous experience in simultaneous EEG/fMRI experiments, advanced multivariate data analysis and computational modelling is desirable but not required. The institute of Cognitive Science is located in Lyon, France, a thriving universitary city. The institute hosts an interdisciplinary neuroscience community with access to several brain imaging facilities, such as one research-dedicated 3T scanner, MEG, TEP, intracranial EEG in patients with epilepsy and other useful resources (http://dreherteam.cnc.isc.cnrs.fr/en/) This post is available immediatly, for up to three years. Salary will be commensurate with experience and qualifications according to CNRS scales. Candidates should send their CV, statement of research interests, representative publications, and contact information of two referencesto Jean-Claude Dreher, email: dreher(a)isc.cnrs.fr <mailto:dreher@isc.cnrs.fr> -- Dr Jean-Claude Dreher, Research director, CNRS UMR 5229 Neuroeconomics group, Reward and decision making Centre de Neurosciences Cognitives 67 Bd Pinel, 69675 Bron, France tel: 00 33 (0)4 37 91 12 38 fax: 00 33 (0)4 37 91 12 10 http://dreherteam.cnc.isc.cnrs.fr/en/

Jan. 28, 2015

postdoctoral position in statistical analysis of population activity

by Gergo Orban

The MTA Wigner Research Centre for Physics (Budapest, Hungary) in partnership with the the MTA Institute for Experimental Medicine (Budapest, Hungary) invites applications for a postdoctoral or for a PhD position in characterising neural population activity. The applicant will join the newly formed Population Activity Research Unit, which is sponsored by a prestigious National Brain Research Program grant and will be co-supervised by Gergő Orbán and András Telcs. The primary focus of the research group is the characterization of activity patterns of large-scale neural populations in the hippocampus and the understanding of the computational principles underlying its dynamically changing states. The unparalleled performance of the nervous system is due to the fast and parallel processing of information that is achieved by the coherent activity of networks of neurons. Recent advancements in recording techniques provides access to high temporal resolution data from hundreds of identified neurons during task performance of animals. Understanding the organizational principles underlying the high-dimensional activity patterns has become a fundamental challenge of neurobiology. We are seeking highly motivated candidates with strong analytical background to take part of this challenge and to work on a project that is based on a strong collaboration between neurophysiology and theoretical neuroscience. The ideal candidate has a strong mathematical background, preferably with a PhD in physics, computer science, or mathematics or other quantitative disciplines. Besides mathematical skills, the position requires competence in programming (e.g. matlab, R, python, or C++). Candidates with training or research experience in statistics, machine learning, computational modelling, dynamical systems are especially encouraged to apply. Training in neuroscience is not required but the applicant has to demonstrate his/her willingness to acquire the necessary background for the project. High dimensional neuronal data is recorded by the experimental part of the group (Attila Gulyas, Institute for Experimental Medicine) but the candidate will have the opportunity get experience with cutting-edge neuronal recording techniques to design of novel experiments based on the analysis of the recorded data. The official starting date of the project is 1 February 2015 but the start date of the position is negotiable. Initial appointment is made for one year but can be extended to three years upon successful evaluation. The work is based in the PATTERN lab at the MTA Wigner Institute (Budapest, Hungary) but requires regular interactions with the experimental partners at the Institute for Experimental Medicine (Budapest). For further information please visit the project website, http://pattern.wigner.mta.hu. For informal inquiries please contact Gergo Orban (orban.gergo(a)wigner.mta.hu) or Andras Telcs (telcs.szit.bme(a)gmail.com) Please send applications, including CV, a research statement and contact information of two references by email to András Telcs before 20 February.

Jan. 27, 2015

Post-doctoral research position in humanoid cognitive robotics research

by Patricia Hazel Shaw [phs]

Intelligent robotics research group at Aberystwyth University, Wales, UK, announces: Post-Doctoral Research Associate vacancy, three-year fixed-term The Project: “Developmental Algorithms for Robotics” ==================================================== The project aims to investigate a mechanism for robots, building on top of basic spatial sensorimotor competencies, that drives the autonomous development of new behaviours and self learning about novel events for which they have no prior experience. This will involve (1) expanding existing motor-babbling activity into object play behaviour, (2) formulating play behaviour as a viable mechanism for autonomous learning about unknown environments, (3) establishing an extended schema concept as a mechanism for integrating memory, experience generalization and action generation, (4) exploring action perception from the agent's experience, and (5) close monitoring of the work with psychological data and expert psychologists. The project will closely follow current knowledge on infant development and aim to reproduce behaviour as reported in the psychological literature. In particular the focus will be on three areas of core knowledge: (1) Object understanding, (2) Interaction with animate objects, and (3) Tool use. The work will be supported by collaboration with leading developmental psychologists on the project scientific advisory panel. This will produce models and mechanisms that can be implemented and tested experimentally against psychological benchmarks. The models will be validated with challenging demonstrators based on a single humanoid robotic platform (iCub). As a main outcome, the project will advance the understanding and application of intrinsic motivations in autonomous learning systems and robots. This overall goal will be achieved with the support of an International Scientific Advisory Board, consists of: Kevin O'Regan, Jacqueline Fagard, Merideth Gattis, David Whitebread, Giorgio Metta, QinetiQ and Lego. The Appointment (PDRA) – Scientific modeller ============================================ Applications are invited for the post of Post-Doctoral Research Associate on this project at Aberystwyth University. The successful applicant will have a relevant background, experience of research (as demonstrated by PhD and/or publications), and proven abilities in mathematical/scientific modelling. The main tasks will involve analysing the psychological literature to develop models and experiments for testing on an iCub humanoid robot. This will be supported by another PDRA, and PhD student, who will have special responsibility for implementing the models whilst maintaining and supporting the robot. Other tasks include writing scientific documents and papers, documenting experiments and writing reports, supervising a PhD student, responsibility for day-to-day management of project needs, and collaborating with the scientific advisory panel and other researchers. Regular European travel will be involved. This post is available on a three-year fixed-term contract, funded by the EPSRC. Salary will be on the IA scale for Research Staff in the range: £32,277 - £37,384 (depending upon qualifications and experience). We expect to appoint for a start date in the first quarter of 2015. How to apply ============ Closing date: 5th February Ref: IMPACS.14.22  For information and application forms please go to www.aber.ac.uk/en/hr/jobs/vacancies-external/ Completed Application Forms should be signed and returned to the Human Resources Recruitment Team by e-mail, or post. Email address: vacancies(a)aber.ac.uk / Tel: 01970 628555 Interview Date: Week commencing 16 February 2015 For informal enquiries contact Patricia Shaw: phs(a)aber.ac.uk +44 (0)1970-622432

Jan. 27, 2015

Research Topic "Closed-loop systems for next-generation neuroprostheses"; Frontiers in Neuroprosthetics

by Paolo Bonifazi

Dear Colleagues, I would like to draw your attention to our research topic “Closed-loop systems for next-generation neuroprostheses” in Frontiers in Neuroprosthetics. http://journal.frontiersin.org/ResearchTopic/3581 Abstract deadline: 28th February 2015 Manuscript deadline: 30th September 2015 The topic description follows below. Please do not hesitate to contact us for any question. Best regards, Paolo Bonifazi - on behalf of the Topic Editors *Timothée Levi, **Michela Chiappalone and **Paolo Massobrio* *Millions of people worldwide are affected by neurological disorders which disrupt connections within the brain and between brain and body causing impairments of primary functions and paralysis. Such a number is likely to increase in the next years and current assistive technology is limited. The response to such disabilities, offered by the neuroscience community, is given by Brain-Machine Interfaces (BMIs) and Neuroprostheses. * *Such a field of research is highly multidisciplinary, since it involves very different and disperse scientific communities, making it fundamental to create connections and to join research efforts. Indeed, to design neuroprosthetic devices, six main research topics are involved: interfacing of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles up to the human brain), bio-artificial interfaces for stimulation and recording, innovative signal processing tools for coding and decoding of neural activity, biomimetic artificial neural networks and neural network modeling. In order to develop functional communication with the nervous system and create a new generation of neuroprostheses, studying closed-loop systems is mandatory. The bi-directional communication between living neurons and artificial devices is the main final goal of those studies. However, closed-loop systems are still rare in the literature, mostly due to the required multidisciplinary effort. Therefore through this research topic, we intend to encourage an active discussion among neurobiologists, electrophysiologists, bioengineers, computational neuroscientists and neuromorphic engineers. * *The overall goal of this research topic is to present the results and stimulate/promote the discussion about the design of a novel generation of neuroprostheses aimed at recovering impaired/damaged neural networks. In this Research Topic, we welcome submissions highlighting the latest results in neuroprosthetics but also covering the six major topics introduced above. Review articles about closed-loop systems and neuroprostheses are strongly encouraged. Indeed, the intrinsic multidisciplinary nature of the proposed topic, from which we expect to receive contributions from different specialists, will help the scientific community to converge to new ideas and solutions to treat invalidating neuronal disabilities.* ==================== Paolo Bonifazi, PhD Italy-Israel Initiative on Integrative Network Neuroscience P.I. of the BRAINBOW project - http://www.brainbowproject.eu School of Physics and Astronomy Tel Aviv University, 69978 Tel Aviv, Israel

Jan. 25, 2015

New paper on Cortico-striatal plasticity in PLoS Biology

by Kevin Gurney

This paper integrates several levels of description - from the synaptic, through systems modelling, to behaviour. Gurney, K.N., Humphries, M.D., Redgrave, P., 2015. A New Framework for Cortico-Striatal Plasticity: Behavioural Theory Meets In Vitro Data at the Reinforcement-Action Interface. PLoS biology 13, e1002034. doi:10.1371/journal.pbio.1002034 Operant learning requires that reinforcement signals interact with action representations at a suitable neural interface. Much evidence suggests that this occurs when phasic dopamine, acting as a reinforcement prediction error, gates plasticity at cortico-striatal synapses, and thereby changes the future likelihood of selecting the action(s) coded by striatal neurons. But this hypothesis faces serious challenges. First, cortico-striatal plasticity is inexplicably complex, depending on spike timing, dopamine level, and dopamine receptor type. Second, there is a credit assignment problem—action selection signals occur long before the consequent dopamine reinforcement signal. Third, the two types of striatal output neuron have apparently opposite effects on action selection. Whether these factors rule out the interface hypothesis and how they interact to produce reinforcement learning is unknown. We present a computational framework that addresses these challenges. We first predict the expected activity changes over an operant task for both types of action-coding striatal neuron, and show they co-operate to promote action selection in learning and compete to promote action suppression in extinction. Separately, we derive a complete model of dopamine and spike-timing dependent cortico-striatal plasticity from in vitro data. We then show this model produces the predicted activity changes necessary for learning and extinction in an operant task, a remarkable convergence of a bottom-up data-driven plasticity model with the top-down behavioural requirements of learning theory. Moreover, we show the complex dependencies of cortico-striatal plasticity are not only sufficient but necessary for learning and extinction. Validating the model, we show it can account for behavioural data describing extinction, renewal, and reacquisition, and replicate in vitro experimental data on cortico-striatal plasticity. By bridging the levels between the single synapse and behaviour, our model shows how striatum acts as the action-reinforcement interface. -- Kevin Gurney, PhD, FSB Professor of Computational Neuroscience Adaptive Behaviour Research Group Department of Psychology, University of Sheffield, S10 2TP, UK <http://www.shef.ac.uk/%7Eabrg/> http://abrg.group.shef.ac.uk/people/kevin/ ------------- "Email is a wonderful thing for people whose role in life is to be on top of things. But not for me; my role is to [get to] the bottom of things. What I do takes long hours of studying and uninterruptible concentration." Donald Knuth: Professor Emeritus of the Art of Computer Programming at Stanford University, and winner of the 1974 Turing Award.

Jan. 23, 2015

3rd Baltic-Nordic Summer School on Neuroinformatics (BNNI 2015)

by Toomas Kirt

2nd call: 3rd Baltic-Nordic Summer School on Neuroinformatics (BNNI 2015) Multiscale computational neuroscience: Neurons, networks and systems Place: University of Tartu, Tartu, Estonia Time: June 15-18, 2015 More information and registration at http://neuro.cs.ut.ee/bnni2015/ Important dates: 21 February 2015 Application deadline 13 March 2015 Acceptance notification 15-18 June 2015 Summer School The BNNI 2015 is focused on computational multiscale modelling of brain functions at the cellular, network and systems levels. The course will also cover data sources, measurements and analysis of neural activity. Target audience Advanced master students, doctoral students and postdoctoral researchers, both theoreticians and experimentalists, who would like to get an introduction to neuroinformatics and computational neuroscience. Faculty includes Gaute Einevoll, Norwegian University of Life Sciences, Aas, Norway Bruce Graham, University of Stirling, United Kingdom Sean Hill, the École Polytechnique Fédérale de Lausanne, Switzerland Henrik Lindén, University of Copenhagen, Denmark Marja-Leena Linne, Tampere University of Technology, Finland, Claudio Mirasso, Universitat de les Illes Balears, Palma de Mallorca, Spain Arnd Roth, University College London, UK Ausra Saudargiene, Vytautas Magnus University, Kaunas, Lithuania Raul Vicente, University of Tartu, Estonia Michael Wibral, Brain Imaging Center, Goethe University, Frankfurt, Germany Daniel Wójcik, Nencki Institute of Experimental Biology, Warsaw, Poland and others to be named. Venue The course will be held in the University of Tartu, Faculty of Mathematics and Computer Science - Juhan Liivi 2, Tartu 50409, Estonia. Practical arrangements There is a small tuition fee of 100 euros. The sponsor will provide teaching, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses (small financial support is available for those without funding). The course is supported by International Neuroinformatics Coordinating Facility and University of Tartu. We are looking forward to welcome you at the BNNI 2015 in Tartu, Estonia!

Jan. 23, 2015

postdoc positions - Gatsby Computational Neuroscience Unit

by Peter Latham

The Gatsby Computational Neuroscience Unit invites applications for one or more postdoctoral training fellowships in theoretical neuroscience, including population coding, learning, neural neural dynamics, the interpretation of neural data, perceptual processing, and neuromodulation. The position is available for an initial period of two years, and may be renewed to a maximum of three years. The closing date for applications is 15 March, 2015. Interviews will be held in May 2015. To find out more about the job, and to apply, see http://www.gatsby.ucl.ac.uk/vacancies/TN%20Postdoc2015.html For further details of our research, see http://www.gatsby.ucl.ac.uk/research.html

Jan. 23, 2015

MSc program in Neural Systems and Computation - University of Zurich and ETH Zurich

by Michael Pfeiffer

We are inviting applications for the MSc program in Neural Systems and Computation, an interdisciplinary program offered as a Joint Master Program by the University of Zurich and ETH Zurich, Switzerland. The program offers a theoretical and laboratory training in neural computation and systems neuroscience. It offers hands-on knowledge of data gathering, analysis and scientific presentation. Students join an international and interdisciplinary research community with expertise in neuroinformatics, advanced experimental techniques and neuromorphic engineering. Further information can be found on our homepage http://www.nsc.uzh.ch. We offer a specialized full-time Masters program open to students with a Bachelor’s degree in the following disciplines: neurosciences, information technology, electrical engineering, biology, physics, computer sciences, chemistry, mathematics, and mechanical/chemical/control engineering. The core courses (all offered in English) provide a common foundation for students with different educational backgrounds, and cover the following: 1. Systems Neurosciences 2. Neural Computation and Theoretical Neuroscience 3. Neurotechnologies and Neuromorphic Engineering The application deadline for students starting in Fall Semester 2015 is *February 15th 2015*. Details about the application process and required documents can be found here: http://www.nsc.uzh.ch/?page_id=10 The program is affiliated with the Mathematics and Natural Sciences Faculty (MNF) at the University of Zurich (UZH) and the Information Technology and Electrical Engineering Department (D-ITET) of the ETH Zurich. All applications are handled by the University of Zurich. Application documents should be sent by email to nsc(a)ini.uzh.ch. Michael Pfeiffer -- ========================================= Dr. Michael Pfeiffer Postdoc, Program coordinator NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

Jan. 22, 2015

[journals] CFP: IEEE ToH Issue on Active Touch Sensing

by yon

The other guest editors and I are very excited to present this special issue. We hope you will consider contributing. Best, Yon Visell Call for Papers IEEE Transactions on Haptics Special Issue on Active Touch Sensing in Robots, Humans, and Other Animals Submission deadline: April 1 2015 First decision to authors: June 1 2015 Complete Details: http://re-touch-lab.com/ieee-toh-issue Guest Editors: Yon Visell, Drexel University Vincent Hayward, Université Pierre et Marie Curie Mitra Hartmann, Northwestern University Nathan Lepora, University of Bristol Topical Summary: This special issue addresses the challenges posed by actively sensing and interacting with the world through the sense of touch, whether the latter is implemented through a technological or biological system. Active touch sensing is recovering information about the world by ‘touching’ rather than ‘being touched’ – by interpreting signals from sensors whose motion is deliberately controlled to facilitate information gain. The scope of this issue includes both biological and technological systems for active touch sensing, and implications for haptics. This issue will consider electronic systems for active touch sensing that are biologically inspired systems, in addition to other inherently active approaches to touch sensing. Biological systems for active touch sensing are highly capable, and, by comparison, the field of robotic touch sensing is in its infancy. The former demonstrate many valuable concepts for active touch sensing that are being intensively investigated. They have also illustrated ways that active touch sensing is enabled through specialized sensory transduction channels, biomechanics, structural morphology, behavioral, and control strategies that are implemented by biological systems, and through other advantages that they achieve, including robustness, adaptability, and power efficiency. Similar challenges must be overcome if technological systems are to one day achieve comparable levels of sensorimotor performance to biological systems. Specific topics of interest include: - The design of electronic or biological systems for active touch sensing, their principles of operation (electronic, biological, mechanical) and performance. - Biomechanical aspects of active touch sensing. - Relations between active touch sensing and behavior, especially motor activity. - Sensory information processing and sensorimotor control strategies in humans, animals, or robots related to active touch sensing, including behavioral, physiological or neuroscience investigations, and neural control. - Learning by active touch. - Applications to the design of haptic interfaces. Authors should specifically include a discussion of how their results shed light on fundamental aspects of active touch sensing rather than assuming that this can be inferred from context. Submission process: Visit http://www.computer.org/toh to view formatting requirements, and submit your paper at https://mc.manuscriptcentral.com/th-cs. When uploading your paper please select the appropriate special issue title under the category “Manuscript Type.” _________________________________________________________ Yon Visell, PhD Assistant Professor Drexel University | Electrical and Computer Engineering Philadelphia, USA www.re-touch-lab.com Office: +1 215 571 4507 Mobile: +1 267 800 8960 _________________________________________________________

Jan. 22, 2015

Master program in Computational Neuroscience and Neuroinformatics@Newcastle University

by Marcus Kaiser

Dear all, our one-year master degree program in Computational Neuroscience and Neuroinformatics at Newcastle University is now accepting student applications. The course focuses on handling brain connectivity datasets, analyzing electrophysiological recordings, and simulating neural activity and development. Neuroinformatics is one of the strategic areas of neuroscience research within Newcastle University (see overview at http://neuroinformatics.ncl.ac.uk/ ). Close interactions with experimental and clinical researchers are a key component of the course and the dissertation research project. Ongoing research areas in Newcastle include neuroimaging, psychophysics, systems neuroscience (visual, auditory, and motor system), aging, neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips, and connectomics (http://www.ncl.ac.uk/ion ). Newcastle University hosts around 100 principal investigators in the neurosciences. You can find out more about the program and how to apply at http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ *COURSE OUTLINE* The MSc in Computational Neuroscience and Neuroinformatics is a full-time, one-year advanced masters course designed for students who have a good degree in the biological sciences or the physical sciences (computer science, mathematics, physics, engineering). It provides the specialist skills in core Neuroinformatics courses (such as computing and biology) with a significant focus on the development of research skills. The program aims to equip its graduates with the necessary skills to contribute to biologically realistic simulations of neural activity and development that are rapidly becoming the key focus of Neuroinformatics research. Prior experience with computers or computer programming is not required. The program is ideal for students aiming for careers in industry or academia. The course is based in the School of Computing Science and taught jointly by the Schools of Computing Science, Mathematics and Statistics, Biology, Cell and Molecular Biosciences and The Institute of Human Genetics. In addition, there are strong links with the Institute of Neuroscience and graduates of this master program might either apply for PhD studies at the School of Computing Science or for the Wellcome Trust 4-year PhD program in Systems Neuroscience (http://www.ncl.ac.uk/ion/study/wellcome/ ). *WHY STUDY AT NEWCASTLE?* The MSc in Neuroinformatics is a truly interdisciplinary degree and provides the dual skills necessary to establish a rewarding career in this research area. The Newcastle program has a research focus on data management, network analysis (e.g. Kaiser, Neuroimage, 2011), and simulation, whilst delivering sound training and an introduction to research in computation and statistics, including exciting new areas such as e-science and cloud computing. Newcastle is among the pioneers of the field in the UK and hosted the £4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. It also leads the development of simulations of optogenetic stimulation effects on human brain tissue as part of the £10m EPSRC/Wellcome Trust-funded CANDO project (http://www.cando.ac.uk/) Newcastle has strong links with the International Neuroinformatics Coordinating Facility (INCF). Currently, members of the faculty lead the data-sharing special interest group and the UK special interest groups in image-based Neuroinformatics and brain connectivity as well as in neurally-inspired engineering. *COURSE CONTENT* Semester 1 contains modules to build the basic grounding in, and understanding of, Neuroinformatics theory and applications, together with necessary computational and numeric understanding to undertake more specialist modules next semester. Training in mathematics and statistics is also provided. Semester 2 introduces modules that focus heavily on introducing subject-specific research skills and includes three option slots for choosing modules. A major part of the Newcastle MSc in Computational Neuroscience and Neuroinformatics is a research project that will occupy approximately six months. This project may be associated with staff in any of the Schools mentioned above, thus providing a wide range of exciting areas in which the newly learnt Neuroinformatics skills can be deployed. *HOW TO APPLY* Applications for this program are now being accepted. You can apply online using the electronic application system with the degree identifier 5199F. Please check http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ for more information. Best, Marcus -- Marcus Kaiser, Ph.D. Associate Professor (Reader) in Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/

Jan. 22, 2015

[meetings] Living Machines IV: Second Call for Papers, Satellite Events and Sponsors

by Nathan F Lepora

______________________________________________________________ Second Call for Papers, Satellite Events and Sponsors Living Machines IV: The 4th International Conference on Biomimetic and Biohybrid Systems 27th to 31st July 2015 http://csnetwork.eu/livingmachines To be hosted at the La Pedrera Barcelona, Spain In association with the Universitat Pompeu Fabra Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline March 16th, 2015 ______________________________________________________________ ABOUT LIVING MACHINES 2015 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The following are some examples: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Active biomimetic materials and structures that self-organize and self-repair. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 29th to 31st July 2015, hosted at the La Pedrera, Barcelona, Spain. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies The full conference will be preceded by up to two days of Satellite Events hosted by the Universitat Pompeu Fabra in Barcelona. SUBMITTING TO LIVING MACHINES 2015 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines 2015 proceedings which we expect to be published in the Springer-Verlag LNAI Series. Full papers (up to12 pages) are invited from researchers at any stage in their career but should present significant findings and advances in biomimetic or biohybid research; more preliminary work would be better suited to extended abstract submission (minimum 4 pages). Further details of submission formats will be circulated in an updated CfP and will be posted on the conference web-site. Full papers will be accepted for either oral presentation (single track) or poster presentation. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of Bioinspiration and Biomimetics. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for 1-day or 2-day tutorials, symposia or workshops on related themes to be held 27-28th July at Universitat Pompeu Fabra. Events can be scheduled on either the 27th or the 28th or across both days. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is a lot of flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 16th, 2015 Paper submission deadline May 1st, 2015 Notification of acceptance May 22nd, 2015 Camera ready copy July 27-31 2015 Conference SPONSORSHIP Living Machines 2015 is sponsored by the Convergent Science Network (CSN) for Biomimetics and Neurotechnology. CSN is an EU FP7 Future Emerging Technologies Co-ordination Activity that also organises two highly successful workshop series: the Barcelona Summer School on Brain, Technology and Cognition (http://bcbt.upf.edu/bcbt12/) and the Capocaccia Neuromorphic Cognitive Engineering Workshop. The 2015 Living Machines conference will also be hosted and sponsored by the Universitat Pompeu Fabra. Call for Sponsors. Other organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products to through conference publications, the conference web-site, and conference publicity are encouraged to contact the conference organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive and good-value packages to potential sponsors. ABOUT THE VENUE Living Machines 2015 returns to the venue of our first conference at the beautiful biomimetic building La Pedrera (Casa Mila) (https://www.lapedrera.com/en/home) designed by renown modernist architect Antoni Gaudi. Attendees at the conference will get a free ticket to visit this historic building in the centre the Barcelona. Workshops will be held at the Poblenou Campus of Universitat Pompeu Fabra, close to hotel and restaurant area of the Diagonal and Ramblas de Poblenou and a short walk from Barcelona’s famous beaches. Organising Committee: Paul Verschure, Universitat Pompeu Fabra (Co-chair) Tony Prescott, University of Sheffield (Co-chair) Stuart Wilson, University of Sheffield (Program Chair) Anna Mura, Universitat Pompeu Fabra (Communications, Local Organiser) Nathan Lepora, University of Bristol (Communications) Carme Buisan University Pompeu Fabra (Treasurer)[AM1]

Jan. 22, 2015

Deadline Extension: INFOCOMP 2015 and EMPIRICAL MODELING 2015 || June 21 - 26, 2015 - Brussels, Belgium

by Cristina Pascual

INVITATION: ================= The submission deadline is extended to February 11, 2015. Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - INFOCOMP 2015, The Fifth International Conference on Advanced Communications and Computation - EMPIRICAL MODELING 2015, The International Symposium on Empirical Modeling Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== INFOCOMP 2015 | EMPIRICAL MODELING 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS INFOCOMP 2015, The Fifth International Conference on Advanced Communications and Computation General page: http://www.iaria.org/conferences2015/INFOCOMP15.html Submission page: http://www.iaria.org/conferences2015/SubmitINFOCOMP15.html EMPIRICAL MODELING 2015, The International Symposium on Empirical Modeling General page: http://www.iaria.org/conferences2015/EMPIRICALMODELING.html Submission page: http://www.iaria.org/conferences2015/EMPIRICALMODELING.html#SubmitAPaper Events schedule: June 21 - 26, 2015 - Brussels, Belgium Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: February 11, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html INFOCOMP 2015 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2015/CfPINFOCOMP15.html ============================================================ Large scale and fast computation Developments in information and computing systems; Grid computing; Cloud computing; Pervasive / ubiquitous computing; Services computing and Opportunistic computing; High Performance Computing (HPC); Fast data processing; Real-time processing; Fast switching and routing protocols; Parallelization of algorithms and applications; Energy-efficient High Performance Computing; Large scale data visualization; Tools for parallelization; Highly performance codes; Optimization; Innovative architectures; Distributed systems, dynamical systems; Future architectures, integrated systems, beyond cloud, reaching exaflop; Supercomputing architectures, operation, and management; Petascale, Exascale; Big data, dCache; HPC centers, data centers; Benchmarking; Green500, Graph500, Top500; Service provisioning; Green computing, cooling techniques Programming models Programming languages and parallel algorithms; Message Passing Interface (MPI), OpenMP; Massively Parallel Processing, Symmetric Multi-Processing; PGAS, GASPI, CAF (Co-array Fortran), UPC (Unified Parallel C); X10, Chapel, CUDA, OpenCL, OpenACC, OpenHMPP, Lime, OmpSs, OpenStream; Parallel Virtual Machine (PVM); Programming paradigms; Manycore, multicore; CPU, GPU, FPGA, accelerators; Chip design, architectures, and programming; Fault tolerance, troubleshooting, debugging; High end issues, latency, concurrency Networks/systems communications Cross-layer design and optimization; Cyber-physical systems and networks; Data centers, virtualization, and cloud networks; Delay/disruption tolerant networks; Future Internet broadband services; Software Defined Networks (SDN); Fast networks / InfiniBand architectures for future interactive multicore applications; Sensor networks and embedded systems; Ad hoc mobile networks; Access technologies; P2P networks; Optical networks; Cellular and broadband wireless networks; Mobility models and mobile networks; Multicast, broadcast and anycast; Multimedia protocols and networking; Software defined radio and cognitive radio networking; Content-based network service; Certification, public key infrastructures, data integrity; Privacy and anonymity Networks/systems measurement, control and management Networks/systems measurement, simulation and emulation; Network-, system-, and application-management; Congestion control and capacity planning; Dynamic spectrum management; Addressing and location management; Quality of Service (QoS) and Quality of Experience (QoE); Quality of Data (QoD) and Quality of Context (QoC); e-Commerce, accounting, pricing and billing; Highly parallel file systems, Lustre, GPFS; Interconnects, high speed ethernet; Use of distributed compute and storage resources; Energy-aware mechanisms for control and management; Configuration, reuse of software components; Resource allocation and management; Denial of service mitigation and prevention; System and data security; Communication visualization Advanced applications Scientific, theoretical, methodological, practical, and technical contributions; Advanced scientific computing; Simulation and modelling (scientific applications, engineering, industry); Mathematical and numerical algorithms and methods; Computer science and geoinformatics; e-Energy, geosciences, prospection, exploration, oil and gas; Mobility and logistic services; Geoscientific Information Systems (GIS); Remote sensing and satellite imaging; Cartography, hydrology; Climatology and environmental sciences; Molecular dynamics simulation; Genetic algorithms; Physics and chemistry applications; Medicine, genetics, epidemiology, medical geology; Multi-dimensional data visualization; Search engines and scientific discovery; Online social networking; Vehicular, underground and underwater networks and applications; Scientific data processing; Computation frameworks and tools; Mathematica, SAGE, Maple, Matlab, Scilab, Gromacs, ANSYS, Fluent, etc.); Database applications and develop! ment; Information and database syst ems; Education, e-Learning, and e-Science; ICT business evaluation and management; Legal informatics, Open Access, Science / Copyright, Patents; Earth and planetary sciences; Archaeology, cultural heritage; Knowledge discovery, documentation, and classification; Data intensive computing, data science; Methdodology and case studies regarding computing and communication scenarios; Small and Medium Enterprises (SME) applications; Computer Aided Engineering (CAE) applications Evaluation context Energy-aware and energy-efficient networks; Implementation and experimental testbeds; Traffic measurement and traffic patterns; Characterization of topology dynamics; Access and biometric technologies, performance, and cost prediction; Web services and performance; Performance measurement and benchmarking; Energy-aware and energy-efficient High Performance Computing; Usability studies; Social and ethic consequences with biometry and data security; Standards, benchmarks, protocols Biometry, security, access technologies, algorithms, and applications Technologies and advances in biometric algorithms and interfaces (gait, electrocardiography, iris, image, fingerprint, palm veins, multi-modality); Biometric systems; Integration of biometrics with other technologies; Challenge response; Simplified enrollment; NFC support, spoofing, and countermeasures; Single sign on (SSO); Adaptive trust; Template protection (protection of reference data); Large and scalable biometric systems using cloud services; Deployed solutions and applications; Experience reports and systems; Description in physical and logical access control; information system access, immigration and border control, law enforcement, entertainment, finance, life science, healthcare, forensics); Distributed and mobile devices; Public Key Infrastructures; Digital Forensics; Quantum cryptography theory and application for commercial usage; topology of information (braid group approach) EMPIRICAL MODELING 2015 Topics (for topics and submission details: see CfP on the site) CfP: http://www.iaria.org/conferences2015/EMPIRICALMODELING.html#CallForPapers ========================== Empirical Modeling principles Empirical Modeling applications (finance, health, online gaming, drugs design, environment, climate, buildings, urbanity, mobility, demography, oil and gas production, marketing, finance, etc.) Empirically-derived analytic Models Empirical Models for predictive analytics Empirical Modeling for optimization Empirical estimation of retention models Empirical Model design and development challenges Empirical data collection challenges Richly structured Empirical Models Verification and Validation of Empirical Models Empirical evidence and Empirical discovery Tools for Empirical Modeling Languages and notations for Empirical Modeling Programming aspects towards Empirical Modeling Quality, Clarity, and Accuracy in Empirical Modeling Empirical Modeling and statistical modeling approaches Maintenance of Empirically derived Models Cost-effectiveness of Empirical Models ------------------------ INFOCOMP 2015 Committee: http://www.iaria.org/conferences2015/ComINFOCOMP15.html EMPIRICAL MODELING 2015 Committee: http://www.iaria.org/conferences2015/EMPIRICALMODELING.html#Committees ================

Jan. 22, 2015

Invitation to submit an original research article or review

by Fabio M Simoes de Souza

CALL FOR PAPERS EUROPEAN JOURNAL OF BIOPHYSICS ISSN: 2329-1745 (Print) ISSN: 2329-1737 (Online) SPECIAL ISSUE ON "RECENT ADVANCES IN MODELING CELLS, CELLULAR COMPARTMENTS AND SIGNALING NETWORKS AS A TOOL TO UNDERSTAND THE NERVOUS SYSTEM" AIMS AND SCOPE: In the last two decades, the progress in molecular biology and associated areas promoted a large accumulation of structural and molecular data about the nervous system. Almost simultaneously with that, fields such as Computational Neuroscience and Systems Biology have emerged with the aim to obtain a system-level understanding about the nervous systems through the development of computational models based on experimental data. Today, both fields are consolidated areas of research and have given valuable contributions to our knowledge of processes such as electrical integration, calcium dynamics, synaptic plasticity, sensory transduction, pathologies, among many others. In this special volume, we want to highlight some of the recent contributions of both computational neuroscience and systems biology to Neuroscience especially through the development and analysis of computational models of cells, cellular compartments and signaling networks. These types of models are powerful tools to investigate the physiological and molecular dynamics of neurons with a large range of spatial and temporal resolutions. Therefore, in this special volume, our intent is to select bleeding edge contributions focused on the gather works that will cover simulations of signaling networks and signal transduction solved deterministically or stochastically; the interaction between signaling networks and the regulation of ionic channels through covalent modifications such as phosphorylation; the impact of neuronal geometries on signaling networks and on cellular electrical integration. Thus, we have the expectation that this special volume will be of interest to both the people working in the fields on Computational Neuroscience and Systems Biology, and to experimental biophysicists that will have the opportunity to get an overall view of the main topics that have been investigated with computational models of cells and signaling networks. TOPICS OF INTEREST include (but are not limited to): • Synaptic Plasticity • Sensory Transduction • Calcium Dynamics • Electrical Integration • Stochastic Processes • Signaling pathways in 3D compartments • Pathological Processes • Software/Algorithms SUBMISSION PROCESS Enjoy a fast reviewing and publication process in an open access journal! The manuscripts are published one by one in the special issue once the manuscript has been accepted. All manuscripts should be submitted via SciencePG online system or through Lead Guest Editor that can help you to submit the manuscript. You have to create an account and login in the system at: http://www.sciencepublishinggroup.com/login.aspx Step 1) Submit to Special Issue. Choose Recent Advances in Modeling Cells, Cellular Compartments and Signaling Networks as a Tool to Understand the Nervous System. Journal Title: European Jounral of Biophysics. Step 2) Fill in Manuscript Information Step 3) Fill in Author(s) Information Step 4) Fill in Reviewer(s) Information Author guidelines can be found at: http://www.sciencepublishinggroup.com/journal/papersubmission.aspx?journali… IMPORTANT DATES 30 May, 2015: Submission of Manuscripts July, 2015: Publication time LEAD GUEST EDITOR Prof. Dr. Fabio Marques Simoes de Souza, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Email: fabio.souza(a)ufabc.edu.br GUEST EDITORS Prof. Dr. Antonio C. Roque University of Sao Paulo, Ribeirao Preto, SP, Brazil Email: antonior(a)ffclrp.usp.br Dr. Gabriela Antunes University of Sao Paulo, Ribeirao Preto, SP, Brazil Dr. Rodrigo F. Oliveira Champalimaud Neuroscience Program, Lisbon, Portugal Email: rodrigo.oliveira(a)neuro.fchampalimaud.org ----- A PDF copy of the CFP is attached with this email for forwarding to interested colleagues. The CFP is also also available at: http://www.sciencepublishinggroup.com/specialissue/117002 For more information on Eur J Biophys, please see: http://www.sciencepublishinggroup.com/journal/archive.aspx?journalid=117&is…

Jan. 21, 2015

.:: Cognitio 2015 : Atypical Minds @ UQAM - Call for papers / Appel à communications

by Chicoisne, Guillaume

[version française ci-après] Cognitio 2015 - Atypical Minds: the Cognitive Science of Difference and Potentialities Montreal, Canada June 8th, 9th and 10th 2015 http://cognitio.uqam.ca/2015 cognitio(a)uqam.ca<mailto:cognitio@uqam.ca> Keynote speakers: * Berit Brogaard - University of Miami, Professor in Philosophy. -> https://sites.google.com/site/brogaardb/<https://sites.google.com/site/brogaardb/> * Ian Gold - McGill University, Canada Research Chair in Philosophy and Psychiatry. -> http://www.mcgill.ca/philosophy/people/faculty/gold<http://www.mcgill.ca/philosophy/people/faculty/gold> Deadline for submission: February 16th, 2015 Cognitio is a young researchers' conference held every other year at the Université du Québec à Montréal, under the auspices of its Cognitive Science Institute. Over the past several years at Cognitio, many facets of the human mind were explored: decision making (2005); situated minds (2006); social cognition (2007); the evolution of minds and cultures (2009); nonhuman minds, including animal, artificial and group minds (2011) and creativity in art and discovery (2013). This year's Cognitio conference will revolve around the cognitive aspects of mental states that display the differences and potentialities of the human mind. We will question the possibility of establishing limits between the functions and dysfunctions of the cognitive system. Every presentation that addresses mental troubles as atypical cognitive status from interdisciplinary interactions including psychiatry will be more than welcome, provided that there is a clear link with cognitive science. This topic can be approached from various angles. These include, but are not limited to: neuroscience, psychology, artificial intelligence, philosophy, cognitive informatics, anthropology, etc. Suggested topics include: · Is there such thing as a typical or an atypical mind? Does or should such a taxonomy address synaesthesia, trance or genius? Autism spectrum disorders? Giftedness? · Can mental illnesses be reduced to neurological problems or do they have irreducible mental elements, such as intentionality, consciousness or rationality? Is the distinction between mental disease and physical disease the last bastion of mind-body dualism? Can we eliminate dualism without reducing mental troubles to neurological disorders? What's the role of neuropsychiatry? · What is a mental disease? How have mental troubles been defined through history? Is every cognitive dysfunction a mental illness? Are the notions of handicap or mental illness useful besides working as classification systems? Do they allow us to identify natural kinds? How do different societies interpret these classifications? Do they integrate the differences or highlight the potentialities that these classification reveal? · Is psychiatry explanatory? If psychiatry is not explanatory, is it still a science? · What recent technological and scientific advances have led to a better understanding of mechanisms of mental disease? · How can we integrate the findings from different levels (molecular, cellular, networks) in computer simulations of different types of diseases (schizophrenia, Parkinson, epilepsy, etc.)? Is there a possible therapeutic role for these simulations? · What are the main philosophical arguments against psychiatry? Is it possible to build a psychiatric science that moves away from the stigmatisation and alienation of those who are different? Or is a change of paradigm needed to study mental conditions? What options do we have? Submission of proposals for the conference is done through the EasyChair system. We are asking for 600 word abstracts. https://www.easychair.org/conferences/?conf=cognitio2015<https://www.easychair.org/conferences/?conf=cognitio2015> Deadline for submission is February 16th 2015 [french version] COGNITIO 2015 Esprits atypiques: les sciences cognitives de la différence et des potentialités Montréal, Canada 8, 9, et 10 juin 2015 http://cognitio.uqam.ca/2015 cognitio(a)uqam.ca<mailto:cognitio@uqam.ca> Conférencière et conférencier invités : * Berit Brogaard - University of Miami, Professor in Philosophy. -> https://sites.google.com/site/brogaardb/<https://sites.google.com/site/brogaardb/> * Ian Gold - Université McGill, Chaire de recherche du Canada en philosophie et psychiatrie. -> http://www.mcgill.ca/philosophy/people/faculty/gold<http://www.mcgill.ca/philosophy/people/faculty/gold> Cognitio est un colloque pour jeunes chercheures, chercheurs en sciences cognitives, tenu une année sur deux à l'Université du Québec à Montréal sous les auspices de l'Institut des Sciences Cognitives. Au cours des dernières années, plusieurs facettes de l'esprit humain ont été explorées à Cognitio. Nous avons examiné la prise de décision (2005), les esprits situés (2006), la cognition sociale (2007), l'évolution des esprits et des cultures (2009), les esprits non humains, incluant les cognitions animales, artificielles et autres (2011) ainsi que l'origine et l'évolution de la créativité (2013). Pour cette édition, nous mettons l'accent sur les esprits atypiques et les aspects cognitifs des états qui témoignent des différences et des potentialités de l'esprit humain. Notre objectif est de discuter du concept de trouble mental, ainsi que de la pertinence et de la nature du domaine qui lui est consacré, la psychiatrie. Nous nous demanderons notamment s'il est possible d'établir des limites entre les fonctions et dysfonctions du système cognitif. Toute proposition de communication ayant un lien direct avec les sciences cognitives et traitant des troubles mentaux, des interactions disciplinaires concernant les états cognitifs atypiques ou encore du statut de la psychiatrie est bienvenue. Cette thématique peut être traitée à partir de plusieurs perspectives. Celles-ci incluent, entre autres: les neurosciences, la psychologie, la philosophie, l'informatique cognitive, la linguistique, l'anthropologie, etc. Les questions de la liste suivante, qui n'est pas exhaustive, pourraient bénéficier d'une combinaison de ces approches : · Peut-on vraiment parler d'esprits typiques ou atypiques? Quelle place une telle catégorisation laisse à la synesthésie, à la transe ou au génie? Au troubles du spectre autistique? À la douance? · Les troubles mentaux se réduisent-ils à des troubles neurologiques ou possèdent-ils des éléments irréductiblement mentaux, liés par exemple à l'intentionnalité, la conscience ou la rationalité? La distinction entre trouble ou maladie mentale et trouble ou maladie neurologique est-elle le dernier bastion du dualisme dans notre conception de l'esprit? Est-il envisageable de l'éliminer sans réduire les troubles mentaux à des désordres neurologiques? Quel est le rôle de la neuropsychiatrie? · Qu'est-ce qu'un trouble mental? Comment cette définition a-t-elle évolué historiquement? Les notions de trouble, de maladie mentale ou de handicap sont-elles utiles au-delà des systèmes de classification? Permettent-elles d'identifier des espèces naturelles (natural kinds)? Comment les sociétés interprètent-elles cette classification? Sont-elles à même d'intégrer les différences ou de souligner les potentialités révélées par cette classification? · La psychiatrie, est-elle explicative? Si la psychiatrie n'est pas explicative, est-elle tout de même une science? · Quelles avancées technologiques et scientifiques récentes permettent de mieux comprendre les mécanismes des troubles mentaux? · Comment intégrer les nouveaux résultats à différents niveaux (moléculaires, cellulaires et réseaux) dans des simulations informatiques de plusieurs états du cerveau (typique et atypique) de différents types de pathologies (schizophrénie, Parkinson, épilepsie, etc.)? Quelle peut être l'utilisation de ces simulations? Ont-elles un possible rôle thérapeutique? · Est-il possible de construire une science psychiatrique qui s'éloigne de la stigmatisation et l'aliénation de ceux qui sont différents? Un changement de paradigme serait-il nécessaire pour l'étude des troubles de l'esprit? Quelles sont les options? La soumission de propositions de communication se fait à l'aide du système EasyChair. Un résumé de 600 mots EN ANGLAIS doit être joint à la demande. https://www.easychair.org/conferences/?conf=cognitio2015 La date limite pour l'envoi des propositions est le 16 février 2015. http://cognitio.uqam.ca/2015 cognitio(a)uqam.ca<mailto:cognitio@uqam.ca> (apologies for cross-postings / nos excuses pour les envois multiples) -- Guillaume Chicoisne, PhD. Institut des Sciences Cognitives - www.isc.uqam.ca<http://www.isc.uqam.ca> (+1) 514-987-3000 #4374 https://www.linkedin.com/pub/guillaume-chicoisne/0/641/175

Jan. 21, 2015

Brain Informatics and Health (BIH'15) - Call for Papers

by Yi Zeng

[Apologies if you receive this more than once] -------------------------------------------------------------------------- The 2015 International Conference on Brain Informatics and Health (BIH'15) August 30 - September 2, 2015, London, UK CALL FOR PAPERS Homepage: http://braininformatics.london (FULL PAPER SUBMISSION DEADLINE: April 5, 2015) *** KEYNOTE SPEAKERS (Confirmed) *** Allan Jones (Allen Institute for Brain Science, USA) Henry Markram (EPFL, Switzerland) David Van Essen (Washington University School of Medicine, USA) *** FEATURE SPEAKERS (Confirmed) *** Giorgio A. Ascoli (George Mason University, USA) Henry Kennedy (Stem-cell and Brain Research Institute, France) Barbara Sahakian (University of Cambridge, UK) Nelson Spruston (The Howard Hughes Medical Institute (HHMI), USA) Paul Verschure (Universitat Pompeu Fabra (UPF), Spain) *** Panel Discussion Moderator *** Sarah Caddick (The Gatsby Charitable Foundation) ***************** Brain research is rapidly advancing with the application of big data technology to neuroscience as can be seen in major international initiatives in the US, Europe and Asia. BIH'15 reflects that brain informatics has emerged as a distinct field and crosses the disciplines of neuroscience, cognitive science, computer science, signal processing, and neuroimaging technologies as well as data science. Following the success of past conferences in this series, BIH'15 will take place at Imperial College London, in UK, gathers the researchers from major international brain research projects, and plans an industrial exhibition. BIH'15 draws special attention to informatics for brain science, human behavior and brain health. BIH'15 will address big data approaches to both the brain and behaviour, with a strong emphasis on emerging trends of big data analysis and management technology for BI, active media technology in behavior learning, and real-world applications for brain and mental health. BIH'15 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Tutorial, Satellite symposium (workshop) and Special-Session proposals and Industry/Demo-Track papers are also welcome. IMPORTANT DATES: ================ Satellite symposium proposal submission: March 10, 2015 Notification of satellite symposium acceptance: March 30, 2015 Submission of full papers: April 5, 2015 Submission of abstracts: May 20, 2015 Submission of satellite symposium papers: May 20, 2015 Notification of full paper acceptance: May 25, 2015 Notification of abstract acceptance: June 10, 2015 Notification of satellite symposium paper acceptance: June 10, 2015 Tutorial proposal submission: May 15, 2015 Satellite symposiums: August 30, 2015 Main conference: August 31-September 2, 2015 PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions; Submission Deadline: April 5, 2015): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: May 20, 2015): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only,, talk preferred" or "no preference." The talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publication *** The BIH conferences have the formal ties with Brain Informatics journal (Springer, http://www.springer.com/40708) Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for BIH authors. Selected submissions will be considered for publication in special issues of international journals after their papers are extended to a full-length paper and pass a review process. More information can be found at http://www.bih-amt.com/publications/ *** Topics and Areas *** Please find the topics and areas of interest of the 2015 International Conference on Brain Informatics and Health (BIH'15) at http://www.bih-amt.com/call-for-papers/topics/ *** AMT'15 Session *** The advance of wearable sensor technology makes the monitoring of human behavior and life style becomes feasible. This development gives the active media technology a new dimension which is more closely related to the healthcare and cognitive studies. Following the success of past conferences in this series, AMT'15 will be jointly held with BIH15 as a special session. ORGANIZERS ========== General Chairs: Karl Friston, University College London, UK Yike Guo, Imperial College London, UK Program Chairs: Aldo Faisal, Imperial College London, UK Sean Hill, EPFL, Switzerland Hanchuan Peng, Allen Institute for Brain Science, US Workshop/Special-Session Chairs: Andreas Holzinger, Medical University Graz, Austria Zhisheng Huang, Vrije University of Amsterdam, Netherlands David Powers, Flinders University of South Australia, Australia Publicity Chairs: Jessica Turner, Georgia State University, US Juan D. Velasquez, University of Chile, Chile Yi Zeng, Institute of Automation, Chinese Academy of Sciences, China Local Organizing Chairs: Thomas Henis, Imperial College London, UK Kai Sun, Imperial College London, UK Chao Wu, Imperial College London, UK Exhibition/Sponsorship Chair: Caroline Li, University Kent, UK Steering Committee Co-Chairs: Ning Zhong, Maebashi Institute of Technology, Japan Jiming Liu, Hong Kong Baptist University, Hong Kong *** Contact Information *** Chao Wu, Imperial College London, UK <c.wu09(a)imperial.ac.uk> Aldo Faisal, Imperial College London, UK <a.faisal(a)imperial.ac.uk>

Jan. 21, 2015

Tenure Track Position in Biology Position

by Weaver, Adam L

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. 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. Expertise in the area of developmental neuroscience is specifically encouraged. This is a tenure-track position with a Fall 2015 start date. As I am on the search committee, I cannot answer any questions regarding the position but the website allows one to ask questions of the chair of the committee. Thank you, Adam Weaver ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Adam L. Weaver, Ph.D. Associate Professor, Dept. of Biology, Saint Michael's College Chief Advisor of the Health Professions, NEAAHP Address: One Winooski Park, Box 283, Colchester, VT 05439 Office: Cheray 313E Personal Email: AWeaver2(a)smcvt.edu<mailto:AWeaver2@smcvt.edu> Phone: (802) 654-2624 FAX: (802) 654-2236 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This job opportunity has been sent to you through Saint Michael's College Careers. Please click here<http://smcvt.interviewexchange.com/jobofferdetails.jsp?JOBID=56106&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=56106&type=7 Job Posting Summary Job Title: Tenure Track Position in Biology Location: VT Job posted on: 01/13/2015 Thank you for considering a career with Saint Michael's College. -- Saint Michael's College Careers Full posting follows: Saint Michael's College - Tenure Track Position in Biology Thank you for considering Saint Michael's College in your search. About Saint Michael's College: Saint Michael's College delivers a compelling, world-class education in a beautiful Vermont setting. Our connected community allows students to form close relationships with each other and accomplished faculty members, providing an ideal learning environment where they have the space and support to challenge themselves and their peers. As a fully residential college located minutes from Burlington, one of the country's top-rated college towns, Saint Michael's offers an unparalleled mix of academic, spiritual, cultural, service and wilderness experiences. To learn more, visit smcvt.edu.<http://www.smcvt.edu> 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 August 2015. 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 Developmental Biology and one of the following organismal fields: Anatomy, Physiology, or Neurobiology, thus enhancing the department's offerings for students interested in post-graduate opportunities in health care. The successful candidate must maintain a productive scholarship program focusing on research providing opportunities for student involvement. Please note that the Biology Department does not have facilities to maintain live mammals or birds; the successful candidate should have a research program compatible with an undergraduate institution. Saint Michael's College is committed to the academic freedom of all members of its community. Benefits include health, dental, vision, life, disability, 401(k), employee and dependent tuition benefits, and discounted gym membership. 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. An offer of employment will be contingent upon the successful completion of a background check. Additional Information: The College is committed to its Edmundite, Catholic mission, which focuses on the integration of intellectual, ethical, personal, and spiritual formation within an environment which combines academic achievement with service to others. Diversity: Saint Michael's College is committed to creating an environment that values and supports diversity, equity and inclusiveness across our campus community, and encourages applications from qualified individuals who will help us achieve this mission. Application Instructions: Please be prepared to attach the following five separate documents after clicking on Apply Now button. * Curriculum vitae * Cover Letter * Statement of teaching philosophy * Plan for implementation of a research program compatible with our institution and welcoming of our students * Names of three referees; references will be requested from short-listed candidates Interviewed candidates should expect to discuss: * how you will support and affirm appreciation for cultural, ethnic, or racial difference, and how your work will foster inclusion in a multicultural environment. * how you will support and contribute to the mission of the College. Review of applications will begin immediately and continue until the position has been filled. Saint Michael's is an Equal Opportunity Employer. We are committed to excellence through diversity, and in this spirit, particularly welcome applications from women, persons of color, and members of historically underrepresented groups.

Jan. 20, 2015

Postdoc position, Kreiman lab

by Kreiman, Gabriel

Applications are invited for a postdoctoral scholar position in the Kreiman lab. We are looking for an innovative and enthusiastic researcher with a strong quantitative background (e.g. Math, Physics, Computer Science) and experience in Neuroscience research. The research efforts will involve studying high-level vision and learning using a combination of computational models, neurophysiology and behavioral experiments. For information about the Kreiman lab and recent publications, see: http://klab.tch.harvad.edu/. The postdoc will be part of an energetic and intellectually vibrant community of researchers including the new Center for Brains, Minds and Machines and the Center for Brain Science. The position is funded for 2 years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. To be considered for this position please submit your application to gabriel.kreiman(a)tch.harvard.edu, including • CV • List of publications • Names of three people that are familiar with your work Gabriel Kreiman klab.tch.harvard.edu Use "9265358979" anywhere in the message body to ensure that your message navigates through anti spam filters

Jan. 20, 2015

NEURAL COMPUTATION - February 1, 2015

by Terry Sejnowski

Neural Computation - Volume 27, Number 2 - February 1, 2015 Available online for download now: http://www.mitpressjournals.org/toc/neco/27/2 ----- Letters Subdiffusive Dynamics of Bump Attractors: Mechanisms and Functional Roles Yang Qi, Pulin Gong, and Michael Breakspear Reliability of Information-Based Integration of EEG and FMRI Data: A Simulation Study Sara Assecondi, Dirk Ostwald, and Andrew Philip Bagshaw Active Inference, Evidence Accumulation and the Urn Task Thomas FitzGerald, Philipp Schwartenbeck, Michael Moutoussis, Raymond J. Dolan, and Karl Friston A Neural Mass Model With Direct and Indirect Excitatory Feedback Loops: Identification of Bifurcations and Temporal Dynamics Miss Aurelie Garnier, Alexandre Vidal, Clement Huneau, and Habib Benali Mismatched Training and Test Distributions Can Outperform Matched Ones Carlos Roberto Gonzalez, Yaser Said Abu-Mostafa Foundations of Support Constraint Machines Giorgio Gnecco, Marco Gori, Stefano Melacci, and Marcello Sanguineti Natural Gradient Learning Algorithms for RBF Networks Junsheng Zhao, Haikun Wei, Chi Zhang, Weiling Li, Weili Guo, and Kanjian Zhang ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2015 - VOLUME 27 - 12 ISSUES Student/Retired $75 Individual $134 Institution $1,075 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

Jan. 20, 2015

Second call for abstracts: Integrated Systems Neuroscience Workshop, March 23-24th, Manchester, UK

by Mark Humphries

We announce a 2-day workshop on "Integrated Systems Neuroscience", at the University of Manchester (UK), March 23-24th 2015. Poster abstract submission deadline: 30th January 2015. Registration deadline: February 27th 2015 Systems neuroscience has been thrust centre-stage by the extraordinary advances in technology for recording and manipulating neural circuits at single-cell resolution. Yet with this rapid increase in data yield has come formidable challenges in analysing and understanding experimental results. Consequently, a tight integration between experimental and computational neuroscience approaches is increasingly necessary for tackling these challenges. The goal of this workshop is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits, to demonstrate their power and potential. Each session of the programme will comprise a pair of talks presenting complementary experimental and computational work on the same circuit theme. A poster session with wine reception will be held on the first evening. Speakers include: Rafal Bogacz (Oxford) Matteo Carandini (UCL) Peter Dayan (Gatsby Computational Neuroscience Unit, UCL) Ken Harris (UCL) Peter Magill (MRC Brain Network Dynamics Unit, Oxford) Daniel O'Connor (John Hopkins University) Michael Orger (Champalimaud Institute, Lisbon) Srdjan Ostojic (Ecole Normale Superieure, Paris) Alex Thiele (University of Newcastle) Gasper Tkacik (IST Austria) For more information, including the current programme, please visit the website: http://www.isn2015.ls.manchester.ac.uk/ Posters: We are accepting submission of abstracts for posters. A maximum of 30 posters will be accepted; the top 20 will have their registration fee waived. For details on submission see: http://www.isn2015.ls.manchester.ac.uk/abstracts/ Abstract submission deadline: January 30th 2015 Registration: http://www.isn2015.ls.manchester.ac.uk/registration/ Registration deadline: February 27th 2015 Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council and Company of Biologists. Dr Mark Humphries MRC Senior non-Clinical Research Fellow AV Hill Building Faculty of Life Sciences University of Manchester http://www.systemsneurophysiologylab.ls.manchester.ac.uk/

Jan. 20, 2015

Feb 15 Application Deadline - 2015 Summer School on Large-Scale Brain Modelling

by Chris Eliasmith

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

Jan. 19, 2015

PhD Student in computational neuroscience/pain research - Technische Universität München

by Markus Ploner

PhD Student in computational neuroscience/pain research Department of Neurology, Technische Universität München, Munich, Germany Applications are invited for a PhD Student position at the Department of Neurology, Technische Universität München, to work on the cerebral representation of pain by using EEG. The project will focus on the neurophysiological correlates of pain in healthy human subjects and patients suffering from chronic pain disorders. Major experimental methods include EEG time-frequency analysis, source analysis and connectivity analysis. The candidate will join a research group dedicated to the multimodal investigation of the cerebral representation of pain (http://www.painlabmunich.de <http://www.painlabmunich.de/>) which is part of the TUM-Neuroimaging Center (TUM-NIC; http://www.tumnic.mri.tum.de <http://www.tumnic.mri.tum.de/>). TUM-NIC hosts state-of-the-art neuroimaging facilities and offers training in major neuroimaging techniques. Applicants should have a background in computer science, statistics, physics, engineering, neuroscience, medicine, psychology, or other relevant disciplines. Prior experience in MATLAB programming is mandatory. Skills for sophisticated analysis of EEG data (e.g. information theory, machine learning techniques, mediation analysis) are highly desirable. Candidates have the possibility to integrate in the PhD program Medical Life Science and Technology (http://www.phd.med.tum.de <http://www.phd.med.tum.de/>) or the Graduate School of Systemic Neurosciences (http://www.gsn.uni-muenchen.de/index.html <http://www.gsn.uni-muenchen.de/index.html>), which offer interdisciplinary high-level training for students with different backgrounds. Salary will be commensurate with the German TVöD salary scale (EG13). Applications will be considered until the position is filled. Candidates may contact Dr. Markus Ploner for more detailed information or directly e-mail their application (ploner(a)lrz.tum.de <mailto:ploner@lrz.tum.de>), including letter of motivation, CV and letters of recommendation. Markus Ploner MD Heisenberg Professor of Human Pain Research Department of Neurology Technische Universität München Munich, Germany ploner(a)lrz.tum.de

Jan. 19, 2015

postdoctoral position available

by Anil Seth

POSTDOC POSITION IN COGNITIVE NEUROSCIENCE OF TIME PERCEPTION AT SUSSEX UNIVERSITY Corresponding author: Anil Seth (A.K.Seth(a)sussex.ac.uk<mailto:A.K.Seth@sussex.ac.uk>) Deadline: January 30th, 2015 Further information: http://www.sussex.ac.uk/aboutus/jobs/950 3 year full time postdoctoral position at the Sackler Centre for Consciousness Science, University of Sussex. Applications are invited from highly motivated post-doctoral research scientists to join a newly funded multi-partner European project. TIMESTORM promotes time perception as a fundamental capacity of autonomous living biological and computational systems, that plays a key role in the development of intelligence. The project aims to explore the coupling of time and mind and implement for the first time artificial systems that consider the temporal aspects of cognition. The available position, within the Sackler Centre for Consciousness Science, will involve cognitive neuroscience research on the brain basis of time perception. ------------------------------------------- Anil K. Seth, D.Phil. University of Sussex, UK Professor of Cognitive and Computational Neuroscience Co-Director, Sackler Centre for Consciousness Science Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com<http://www.anilseth.com> www.neurobanter.com<http://www.neurobanter.com> http://nc.oxfordjournals.org/ www.sussex.ac.uk/sackler/<http://www.sussex.ac.uk/sackler/> a.k.seth(a)sussex.ac.uk<mailto:a.k.seth@sussex.ac.uk> @anilkseth

Jan. 19, 2015

MCS 2015 : Call for Papers

by Dr. Schwenker

Apologies for multiple copies. ****** MCS 2015 Call for Papers ******** ********************************************************************** TWELFTH INTERNATIONAL CONFERENCE ON MULTIPLE CLASSIFIER SYSTEMS Reisensburg Castle (Günzburg, Germany), Ulm University, June 29 - July 1, 2015http://mcs.diee.unica.it ********************************************************************** Paper Submission: JANUARY 30, 2015 MCS 2015 is the twelfth edition of the well-established series of meetings providing the leading international forum for the discussion of issues in multiple classifier systems and ensemble methods. The aim of the workshop is to bring together researchers from diverse communities concerned with this topic, including pattern recognition, machine learning, neural networks, data mining and statistics. MCS 2015 will be held on June 29-July 1, 2015, at Reisensburg Castle (Günzburg, Germany) research center of the Ulm University. For up-to-date conference information, please visit:http://mcs.diee.unica.it Organizing Committee ==================== Friedhelm Schwenker, Ulm University, Germany Josef Kittler, University of Surrey, UK Fabio Roli, University of Cagliari, Italy -- Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

Jan. 18, 2015

Opportunities for Ph.D. Studentships in Computational Neuroscience

by Wong-Lin, Kongfatt

The Intelligent Systems Research Centre (ISRC) at the University of Ulster, UK, invites applications for 3-year Ph.D. studentships. A list of studentships offered for the academic year 2015-2016 and the projects’ details can be found at: http://www.compeng.ulster.ac.uk/rgs/showPhDProposals.php?ri=3. In particular, I have the available computational neuroscience projects available for 2015: 1. Computational modelling and analysis of spatiotemporal brain dynamics in decision making. 2. A neuro-inspired multisensory decision-making model with self-awareness for autonomous mobile robots. 3. Computational neuromodulation: neural circuit modelling. The computational neuroscience research at the ISRC focuses on both fundamental brain and behavioural sciences, and their applications, including clinical neuroscience and neuroengineering. The application process for the Ph.D. studentship is opened with a closing date for applications on the 27th February 2015. All studentships, which are highly competitive, are expected to start in September 2015, and include tuition fees and an annual maintenance allowance for EU and non-EU students. All applicants should hold a first or upper second class honours degree (or equivalent) in an appropriate subject, such as computer science, engineering, physics, mathematics or neuroscience. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. If you wish to apply for a studentship, please follow the instructions at: http://www.compeng.ulster.ac.uk/rgs/guideForApplicants.php. Unless indicated, successful students will be based primarily at the ISRC with opportunities to interact with other related ISRC research teams, research groups from the Biomedical Sciences Research Institute, the Centre for Stratified Medicine, and there may also be opportunities for spin-outs. A functional brain mapping facility has recently been established at the ISRC. The ISRC is situated in the city of Derry~Londonderry, which has received the City of Culture 2013 award. Please note that some studentship (DEL Awards) have restrictions on residence eligibility – see guidance notes for details. For further information, please contact me (k.wong-lin(a)ulster.ac.uk) ------------------- Dr. KongFatt Wong-Lin Computational Neuroscience Research Team Intelligent Systems Research Centre University of Ulster ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Jan. 18, 2015

Journal of Mathematical Neuroscience - recent articles

by Stephen Coombes

Dear all, The Journal of Mathematical Neuroscience publishes research articles on the mathematical modeling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Uncertainty Propagation in Nerve Impulses Through the Action Potential Mechanism Torres Valderrama A, Witteveen J, Navarro M and Blom J http://www.mathematical-neuroscience.com/content/5/1/3<http://www.mathematical-neuroscience.com/content/4/1/13> Coarse-Grained Clustering Dynamics of Heterogeneously Coupled Neurons Moon SJ, Cook KA, Rajendran K, Kevrekidis IG, Cisternas J and Laing CR http://www.mathematical-neuroscience.com/content/5/1/2 Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations Voronenko SO, Stannat W and Lindner B http://www.mathematical-neuroscience.com/content/5/1/1 Numerical Bifurcation Theory for High-Dimensional Neural Models Laing CR http://www.mathematical-neuroscience.com/content/4/1/13 Adaptation and Fatigue Model for Neuron Networks and Large Time Asymptotics in a Nonlinear Fragmentation Equation Pakdaman K, Perthame B and Salort D http://www.mathematical-neuroscience.com/content/4/1/14 and see also the recent Special Issue on Uncertainty and the Brain http://www.mathematical-neuroscience.com/series/UB All articles are Open Access. Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

Jan. 17, 2015

CNS 2015: Abstract Submission and Registration opens

by Tam, Nicoladie

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

Jan. 17, 2015

CoSMo 2015 summer school announcement

by Gunnar Blohm

*Fifth Annual Computational Sensory-Motor Neuroscience Summer School (CoSMo 2015)* Radboud University Nijmegen, The Netherlands June 28 - July 11, 2015 We would like to invite you to join us for the fifth annual Computational Sensory-Motor Neuroscience Summer School. The course is about experimental, computational and medical aspects of sensory-motor neuroscience with a focus on active learning. Covered topics include multi-sensory integration, motor learning & control, computational methods, sensory-motor transformations and neural coding / decoding. An important focus is on doing research as opposed to just hearing about it. Each teaching module will take up two days with morning lecture sessions. Afternoon sessions involve hands-on Matlab programming, simulation and data-analysis. Newly acquired computational tools can also be applied in 2-week evening group research projects. The course is aimed at students and post-doctoral fellows from diverse backgrounds including Life Sciences, Psychology, Computer Science, Physics, Mathematics and Engineering. Basic knowledge in calculus, linear algebra and Matlab is expected. Enrollment will be limited to 40 trainees. *Application deadline: Mar 15, 2015* For more information and to apply, please go to http://www.compneurosci.com/CoSMo/ The school is co-organized by Drs Gunnar Blohm, Paul Schrater, John van Opstal, Pieter Medendorp and Konrad Körding. This year, it receives funding from the EU FP7 Marie-Curie IDP Training Network /HealthPAC/, and the Perception, Action and Control research network of the Donders Institute at Radboud University Nijmegen. -- ------------------------------------------------------- Dr. Gunnar BLOHM Associate Professor in Computational Neuroscience Association for Canadian Neuroinformatics and Computational Neuroscience (CNCN) Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen’s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

Jan. 16, 2015

New funding opportunity: Machine Intelligence from Cortical Networks (MICrONS) Program

by R. Jacob Vogelstein

I am pleased to announce the release of the Machine Intelligence from Cortical Networks (MICrONS) program Broad Agency Announcement (BAA). MICrONS seeks to revolutionize machine learning by reverse-engineering the algorithms of the brain. The program is expressly designed as a dialogue between data science and neuroscience, in which participants will have the unique opportunity to pose biological questions with the greatest potential to advance theories of neural computation and obtain answers through carefully planned experimentation and data analysis. Over the course of the program, participants will use their improving understanding of the representations, transformations, and learning rules employed by the brain to create ever more capable neurally-derived machine learning algorithms. Ultimate computational goals for MICrONS include the ability to perform complex information processing tasks such as one-shot learning, unsupervised clustering, and scene parsing, aiming towards human-like proficiency. The program overview is copied below; the full text of the announcement (and any future versions) is available from the BAA link at http://www.iarpa.gov/index.php/research-programs/microns/microns-baa. All questions about the program and/or BAA must be submitted to dni-iarpa-baa-14-06(a)iarpa.gov by February 9, 2015. Full proposals must be submitted through the IARPA IDEAS <https://iarpa-ideas.gov> system by March 13, 2015. *Do not *send any questions or proposal submissions to me directly. Please disseminate this information widely. Offerors need not be U.S. citizens or residents to apply or receive funding. Thank you, Jacob R. Jacob Vogelstein, Ph.D. Program Manager ODNI/IARPA http://go.usa.gov/FPPJ -------------------------------------------------------- Introduction Despite significant progress in machine learning over the past few years, today’s state of the art algorithms are brittle and do not generalize well. In contrast, the brain is able to robustly separate and categorize signals in the presence of significant noise and non-linear transformations, and can extrapolate from single examples to entire classes of stimuli. This performance gap between software and wetware persists despite some correspondence between the architecture of the leading machine learning algorithms and their biological counterparts in the brain, presumably because the two still differ significantly in the details of operation. The MICrONS program is predicated on the notion that it will be possible to achieve major breakthroughs in machine learning if we can construct synthetic systems that not only resemble the high-level blueprints of the brain, but also employ lower-level computing modules derived from the specific computations performed by cortical circuits. Background Many contemporary theories of cortical computing suggest that the brain performs common sensory information processing tasks—such as detection and recognition of visual objects, sounds, and odors—with algorithms that progressively transform data through a series of operations, or “stages.” Each stage of processing is further theorized to occur within a discrete region of cortex. Although different theories suggest different mathematical bases for computation, it is commonly believed that neural algorithms employ data representations, transformations, and learning rules that are conserved across stages. <#14ae94b7b82a2eef_14ae94551cb4b667_14ae942f2d046d85_14acb3be21100ccb__ftn1> It should therefore be possible to apprehend the neural computations underlying information processing (at least within a given sensory modality <#14ae94b7b82a2eef_14ae94551cb4b667_14ae942f2d046d85_14acb3be21100ccb__ftn2>) by interrogating a small fraction of the entire cortex, so long as that fraction is judiciously selected to contain sufficient evidence of the representations, transformations, and learning rules of the algorithm(s) to which it contributes. Neuroscience has a long history of inspiring innovation in machine learning, starting with the seminal work of McCulloch and Pitts in 1943. This influence is evident even in today’s state of the art “deep learning” systems, which are loosely modeled on hierarchical visual processing systems in the primate brain. However, the rate of effective knowledge transfer between neuroscience and machine learning has been slow because of divergent scientific priorities, funding sources, knowledge repositories, and lexicons. As a result, very few of the ideas about neural computing that have emerged over the past few decades have been incorporated into modern machine learning algorithms. Previous attempts to foster collaboration between neuroscience and machine learning have been stymied in part by gaps in our knowledge about the brain. The majority of what is known about the brain today regards its operation at the “micro” scale (one or a few neurons) and the “macro” scale (hundreds of thousands or millions of neurons), and some of this information is indeed reflected in the design of leading artificial neural networks. In contrast, much less is known about the “mesoscale” cortical circuits (hundreds to tens of thousands of neurons) that implement the specific data representations, transformations, and learning rules of cortical information processing algorithms, and these are therefore absent from (or speculative in) existing machine learning solutions. It is likely that explicit knowledge and use of these computations is required to move beyond the current generation of “neurally-inspired” machine learning algorithms. Program Synopsis The MICrONS program aims to create novel machine learning algorithms that use neurally-inspired architectures *and* mathematical abstractions of the representations, transformations, and learning rules employed by the brain to achieve brain-like performance. To guide the construction of these algorithms, performers will conduct targeted neuroscience experiments that interrogate the operation of mesoscale cortical computing circuits, taking advantage of emerging tools for high-resolution structural and functional brain mapping. The program is designed to facilitate iterative refinement of algorithms based on a combination of practical, theoretical, and experimental outcomes: performers will use their experiences with the algorithms’ design and performance to reveal gaps in their understanding of cortical computation, and will collect specific neuroscience data to inform new algorithmic implementations that address these limitations. Ultimately, as performers incorporate these insights into successive versions of the machine learning algorithms, they will devise solutions that can perform complex information processing tasks aiming towards human-like proficiency. Program Structure MICrONS is organized in three phases, totaling five years in duration. During each phase, performers conduct targeted neuroanatomical and neurophysiological studies to inform their understanding of the cortical computations underlying sensory information processing and, concurrently, create neurally-derived machine learning algorithms that perform similar functions. Performers motivate their experimental and algorithmic designs by formulating and updating a conceptual model or “theoretical framework” for neural information processing in a given sensory modality. They use computational neural models (i.e., executable mathematic or algorithmic simulations of neurons and neural circuits) to establish a correspondence between the computations performed by biological wetware and the computations employed by their machine learning software. Each phase ends with an information processing challenge that assesses how well the new algorithms perform on increasingly challenging machine learning tasks: similarity discrimination in Phase 1, generalization and classification in Phase 2, and invariant recognition in Phase 3. Performers use the results of their experiments in each phase to guide their development of improved algorithms in the subsequent phase (in Phase 1, performers base their algorithms on the existing neuroscience literature). Technical Areas The MICrONS program comprises three Technical Areas (TAs). Although IARPA anticipates receiving a number of holistic proposals responding to all three TAs, it recognizes that some prospective offerors may have capabilities in only a subset of the overall program scope, and wishes to maximize its opportunity to leverage these capabilities. Therefore, offerors may choose to propose to one, two, or all three TAs. Because achieving MICrONS program goals will require significant collaboration across all three TAs, offerors who propose to only one or two TAs should be prepared to work closely with performers in the remaining TAs. The TAs in MICrONS are defined as follows: · TA1 – experimental design, theoretical neuroscience, computational neural modeling, machine learning, neurophysiological data collection, and data analysis; · TA2 – neuroanatomical data collection; and · TA3 – reconstruction of cortical circuits from neuroanatomical data and development of information technology systems to store, align, and access neural circuit reconstructions with the associated neurophysiological and neuroanatomical data. Success in the MICrONS program will require extensive communication and cooperation between performers in all three TAs within or across teams. For example, in TA2, performers must collect neuroanatomical data about the same brain regions *in the same brain specimens* that are used in TA1 for neurophysiological studies; in TA3, performers must reconstruct neural circuits from the data collected in TA2; and in TA1, performers must analyze the neural circuits generated in TA3 and use the resulting insights in formulating their machine learning algorithms and theoretical frameworks. All offerors are therefore required to include in their proposal a detailed management plan and a detailed description of how their proposed technical approach in one or more TAs is likely to impact the other TAs.

Jan. 16, 2015

Bernstein Conference 2015: Call for Workshops

by Seeger, Simone

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

Jan. 16, 2015

Call for Papers - IJCAI15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models

by Alessandro Antonucci

IJCAI15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models Buenos Aires, July 25-27, 2015 - http://ipg.idsia.ch/wijcai15/ FIRST CALL FOR PAPERS Probabilistic graphical models are important tools in machine learning and artificial intelligence for reasoning with uncertainty. They provide means to represent large multivariate domains compactly and to perform sophisticated learning and reasoning efficiently. Examples of probabilistic graphical models are Bayesian networks, Markov Random fields, chain and factor graphs, Gaussian graphical models, to name but a few. The quantification of these models usually requires sharp (i.e., precise) assessments of the model local potentials and might be subject to robustness issues. For instance, perturbations of some parameter values may lead to different decisions from those which would be achieved by the unperturbed model, suggesting that decisions are not reliable. Reliability might also be in question because of missing data and assumptions behind the process. The workshop invites submissions of papers on all aspects of sensitivity analysis and robustness in probabilistic graphical models. Contributions may have a theoretical focus and/or an applied focus. A non-exhaustive list of topics follows. - Local and/or global sensitivity analysis. - Parameter-based and/or decision-based sensitivity analysis. - Design of robust learning, inference and/or decision making approaches. - Robust analysis and design of robustness measurements. - Extensions of probabilistic graphical models. - Reliable qualitative learning and reasoning. - Robust treatment of missing data. - Imprecise probability and other theories related to sensitivity analysis. - Computational complexity, exact and approximate algorithms. Each submission will be reviewed by peers using a double-blind process (please use the third person in self citations and take all necessary care not to identify yourselves). Accepted papers will be published electronically in a volume of the JMLR Workshop and Conference Proceedings series. There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the workshop. At least one of the paper's authors should register and attend the workshop to present the work. Submissions must be formatted according to style and template files available for the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings - two-column version. The style files are available at http:/ipg.idsia.ch/wijcai15/sarpgm15.tar.gz Papers (including figures, tables, references, etc) are expected to have between 6 and 10 pages. IMPORTANT DATES Apr 27, 2015 - Deadline for submissions of contributions May 20, 2015 - Workshop paper acceptance notification May 30, 2015 - Deadline for workshop camera-ready copy (in case of minor revision; contributions needing major revision might need additional time - this will be arranged case by case) PC MEMBERS Alessandro Antonucci*, IDSIA, Switzerland. Alessio Benavoli, IDSIA, Switzerland. Cassio P. de Campos*, Queen's University Belfast, UK. Arthur Choi, University of California, Los Angeles, USA. Giorgio Corani*, IDSIA, Switzerland. Fabio Cozman, University of Sao Paulo, Brazil. Adnan Darwiche, University of California, Los Angeles, USA. Sebastien Destercke, Univ. de Technologie de Compiegne, France. Marek Druzdzel, University of Pittsburgh, USA. Johan Kwisthout, Radboud University Nijmegen, The Netherlands. Agnieszka Onisko, Bialystok University of Technology, Poland. Denis Maua, University of Sao Paulo, Brazil. Serafin Moral, Universidad de Granada, Spain. Silja Renooij, Universiteit Utrecht, The Netherlands. Matthias Troffaes, University of Durham, UK. (*: Workshop organizers.) More details about the submission procedure are available online. http://ipg.idsia.ch/wijcai15/ ++++++++++++++++++++++++++++++++++++++++ (We apologize in case you receive multiple copies of this announcement, but yet we hope to reach the greatest possible number of people. Finding a trade-off is not an easy task.) -- _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

Jan. 16, 2015

Connectionists: Call for Papers (Extended Deadline to 5 Feb 2015): IEEE IJCNN'2015 Special Session on: "Emerging Methodologies for Big Data Integration"

by Dr Amir Hussain

CALL FOR PAPERS IEEE IJCNN 2015 Special Session on *"*Emerging Methodologies for Big Data Integration*"* July 12 - 17, 2015, Killarney, Ireland ( http://www.ijcnn.org/ ) ************************************************************************************** Important Announcement *************************************************************************************** Due to numerous requests, the IJCNN has kindly agreed to extend all paper submission deadlines to February 5th, 2015. ************************************************************************************* NEW: IMPORTANT DATES (REVISED) EXTENDED DEADLINE for Paper submission: February 5th, 2015 Paper Decision notification: March 25th, 2015 Camera-ready submission: April 25th, 2015 Conference Dates: July 12 - 17th, 2015 *********************************************************** Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the main characteristics of such Big Data is that they are multi-view, i.e. there are multiple sources (in the “omics” sciences, experiments related to mRNA, miRNA etc.), relate the same patterns (in this case patients) or multi-domain (in biomedical applications for examples, “omics, imaging and clinical data). As a consequence, new methodologies based on neural networks, machine and statistical learning, computation Intelligence and others, have been proposed to integrate these kinds of big data and to elicit relevant information to infer novel models and correlations. The aim of the special session is to solicit new approaches to real world scientific and industrial big data integration, as well as applications of above mentioned Big Data methodologies. *Topics** Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics: Multi-view learning Multi-view clustering data fusion data integration multi-view data applications multi domain data applications THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF IJCNN 2015, January 15th 2015. All the submissions will be peer-reviewed with the same criteria used for other contributed papers. Perspective authors will submit their papers through the IJCNN2015 conference submission system at http://www.ijcnn.org/ Please make sure to select the Special Session "Emerging Methodologies for Big Data Integration " from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list; Templates and instructions for authors will be provided on the IJCNN webpage http://www.ijcnn.org/ All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the conference proceedings. Further information about IJCNN 2015 can be fond at http://www.ijcnn.org/ and about the special session at http://neuronelab.unisa.it/emerging-methodologies-for-big-data-integration/ We look forward to seeing you soon in Kilarney! *********************************************************** **Organizers** - Amir Hussain Professor of Computing Science and founding Director of the Cognitive Signal-Image Processing and Control Systems Research (COSIPRA) Laboratory, University of Stirling, UK (E-mail: ahu(a)cs.stir.ac.uk http://cs.stir.ac.uk/~ahu) - Giovanni Montana Professor and Chair in Biostatistics and Bioinformatics, Biomedical Engineering Department, King’s College, London, UK (E-mail: giovanni.montana(a)kcl.ac.uk) - Francesco Carlo Morabito Professor and Chair of the Neurolab, Dipartimento DICEAM, Università Mediterranea di Reggio Calabria, Italy (E-mail: morabito(a)unirc.it) - Roberto TAGLIAFERRI Professor and Chair of the Neuronelab, Dipartimento di Informatica, Università di Salerno, Italy (E-mail: robtag(a)unisa.it) **Technical Program Committee (being continuously updated)** Elia Mario Biganzoli, Università di Milano, Italy Erik Cambria, NTU, Singapore Ciro Donalek, Caltech, CA, USA Anna Esposito, Seconda Università di Napoli, Italy Marcos Faundez-Zanuy, Escola Universitaria Politecnica de Mataro (Tecnocampus), Spain Alexander Gelbukh, National Polytechnic Institute, Mexico Dario Greco, FIOH, Finland Newton Howard, MIT Media Lab, USA Pietro Liò, University of Cambridge, UK Bin Luo, Anhui University, China Mufti Mahmud, Antwerp University, Belgium Riccardo Rizzo, CNR, Italy Jingpeng Li, University of Stirling, UK Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy Alfredo Vellido, Universidad Politécnica de Cataluña, Spain Pierangelo Veltri, Università "Magna Graecia" di Catanzaro, Italy Jonathan Wu, University of Windsor, Canada Yunqing Xia, Tsinghua University, China Kang Li, Queen's University, Belfast, UK Dongbing Gu, Essex University, UK Vincent C. Müller, Anatolia College/ACT, Greece & Oxford University, UK Dongbin Zhao, Chinese Academy of Sciences, Beijing, China Paulo Lisboa, Liverpool John Moores University, UK ************************************************************************************** -- 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.

Jan. 15, 2015

Postdoctoral and PhD positions in computational neuroscience at Harvard

by Haim Sompolinsky

Dear colleagues, I have several openings for research in computational neuroscience at the doctoral and postdoctoral levels. See the following announcement. Best, Haim Opportunities in Theoretical Neuroscience Doctoral and Postdoctoral Opportunities in Theoretical Neuroscience I am seeking doctoral and postdoctoral associates for research on theoretical neuroscience projects. Creativity, analytical and numerical skills, drive, and a background in physics, computational neuroscience, applied mathematics, or computer science are expected. Research topics span a broad range of topics dealing with the principles underlying the links between neuronal circuits' structure, dynamics, behavior and cognition. Positions are available for work in the Swartz theoretical neuroscience group at Harvard http://cbs.fas.harvard.edu/ <http://cbs.fas.harvard.edu/> . Please submit your application including CV, list of publications and names of three possible referees to Prof. Haim Sompolinsky: haim(a)fiz.huji.ac.il <mailto:haim@fiz.huji.ac.il>. -- Haim Sompolinsky The Hebrew University For research positions, see: http://neurophysics.huji.ac.il/Opportunities

Jan. 15, 2015

CFP: HRI 2015 Workshop on “Cognition: A Bridge between Robotics and Interaction”

by Yukie Nagai

============================================================ Workshop “Cognition: A Bridge between Robotics and Interaction”, at HRI 2015, Portland (OR) USA ============================================================ March 2, 2015 Submission deadline: January 20, 2015 Notification of acceptance: January 30, 2015 website: http://www.macs.hw.ac.uk/~kl360/HRI2015W/ ============================================================ INVITED SPEAKERS: - Prof. David Vernon, Sk?vde University - Prof. Andrew Meltzoff, University of Washington INVITED PANELISTS: - Prof. Giulio Sandini, Italian Institute of Technology - Prof. Minoru Asada, Osaka University A key feature of humans is the ability to anticipate what other agents are going to do and to plan accordingly a collaborative action. This skill, derived from being able to entertain models of other agents, allows for the compensation for intrinsic delays of human motor control and is a primary support to allow for efficient and fluid interaction. Moreover, the awareness that other humans are cognitive agents who combine sensory perception with internal models of the environment and others, enables easier mutual understanding and coordination. Cognition represents therefore an ideal link between different disciplines, as the field of Robotics and that of Interaction studies, performed by neuroscientists and psychologists. From a robotics perspective, the study of cognition is aimed at implementi ng cognitive architectures leading to efficient interaction with the environment and other agents. From the perspective of the human disciplines, robots could represent an ideal stimulus to study which are the fundamental robot properties necessary to make it perceived as a cognitive agent, enabling natural human-robot interaction. Ideally, the implementation of cognitive architectures may raise new interesting questions for psychologists, and the behavioral and neuroscientific results of the human-robot in teraction studies could validate or give new inputs for robotics engineers. The aim of this workshop will be to provide a venue for researchers of different disciplines to discuss the possible points of contact and to highlight the issues and the advantages of bridging different fields for the study of cognition for interaction. T his workshop will represent an ideal continuation of the discussion began at HRI 2014, in the workshop “HRI: a bridge between Robotics and Neuroscience” (http://www.macs.hw.ac.uk/~kl360/HRI2014W/index.html) LIST OF TOPICS ------------- - Cognitive Architecture - Development of Social Cognition - Interaction - Prediction - Embodiment - Self and Other FORMAT AND SUBMISSIONS ----------------------- The workshop will consist of invited keynotes, time for discussions and will also feature a poster session. Prospective participants are invited to submit full papers (up to 8 pages) or short papers (2 pages). Submissions will be accepted in PDF format only, using the HRI formatting guidelines (http://www.macs.hw.ac.uk/~kl360/HRI2015W/papers.html) and including author names. Authors should send their papers to hri2015workshop(a)gmail.com . All submissions will be peer-reviewed. Upon available time, selected contributions may have the opportunity to be presented in the oral session. The other selected contributions will be presented as posters during a dedicated session. The submission must include 1 answer to one of the following questions: - How should cognitive research be structured to yield results useful for robotics and HRI? - How can robotics have a direct influence on neuroscience and cognitive psychology aimed at interaction studies? - Which is the minimal level of cognition needed in a robot to be able to interact with a human? - Does a robot really need cognition to be perceived as a cognitive agent by a human? - Does inserting a cognitive agent into an interaction pose a risk to the human partners? - How important is the embodiment of a robot for the development of its cognitive architecture and its social cognition? Upon available time, those questions/answers will be used to "drive" a final discussion. IMPORTANT DATES ---------------- Submission deadline: January 20, 2015 Notification of acceptance: January 30, 2015 Workshop at HRI 2015: March 2, 2015 ORGANIZERS ----------- - Alessandra Sciutti Istituto Italiano di Tecnologia - Katrin Solveig Lohan Heriot-Watt University - Yukie Nagai Osaka University — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

Jan. 14, 2015

INNS BigData 2015 San Francisco - New Conference! Calls for Papers, Special Sessions, Tutorials and Workshops!

by Asim Roy

Apologies for cross-posting. Note the plenary talk by Juergen Schmidhuber (Prof. Jürgen Schmidhuber<http://people.idsia.ch/~juergen/>) on Deep Learning. There will also be a tutorial and a workshop on Deep Learning by Juergen Schmidhuber and Dong Yu of Microsoft Research (Dong Yu<http://research.microsoft.com/en-us/people/dongyu/>, Microsoft Research<http://research.microsoft.com/en-us/>). Note the deadlines for submission of proposals for special sessions, tutorials and workshops. See you in San Francisco. <http://www.innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/09/banner.jpg]<http://www.innsbigdata.org/> INNS Conference on Big Data 2015 New approaches to solving hard Big Data problems! 8 - 10 August 2015, San Francisco www.innsbigdata.org<http://www.innsbigdata.org/> The aim of the INNS BigData conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). Please refer to our website for a more detailed list of topics. Being INNS' inaugural conference on the theme of big data, we are especially motivated to synthesize ideas, promote activities and generate broad interest in areas where neural networks have many unique advantages. We also have Twitter<https://twitter.com/inns_bigdata>, Facebook<https://www.facebook.com/innsbigdata15/> and Google+<https://plus.google.com/112891798437473029046> pages! ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]PLENARY TALK<http://innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/11/juergen.jpg] DEEP LEARNING Prof. Jürgen Schmidhuber<http://people.idsia.ch/~juergen/>, Professor of Artificial Intelligence at the University of Lugano<http://www.inf.usi.ch/index.htm>, and the Swiss AI Lab IDSIA.<http://www.idsia.ch/> Since age 15 or so, Prof. Jürgen Schmidhuber’s main scientific ambition has been to build an optimal scientist through self-improving Artificial Intelligence (AI), then retire. He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. The Long Short-Term Memory (LSTM) recurrent NNs (RNNs), developed by his research groups at the Swiss AI Lab IDSIA & USI & SUPSI & TU Munich, were the first RNNs to win official international contests. LSTM recently helped to improve connected handwriting recognition, speech recognition, machine translation, optical character recognition, image caption generation, and are now in use at Google, Microsoft, IBM, and many other companies. IDSIA’s Deep Learners were also the first to win object detection and image segmentation contests, and achieved the world’s first superhuman visual classification results, winning nine international competitions in machine learning & pattern recognition (more than any other team). Since 2009 he has been member of the European Academy of Sciences and Arts. He has published over 300 peer-reviewed papers, earned seven best paper/best video awards, and is recipient of the 2013 Helmholtz Award of the International Neural Networks Society. ________________________________ Important Dates:<http://innsbigdata.org/important-dates/> * Paper submission:<http://innsbigdata.org/paper-submission/> March 22, 2015. * Paper Decision Notification: May 22, 2015. * Camera Ready Submission of papers: June 8, 2015. Call for Special Sessions:<http://innsbigdata.org/special-sessions/> * Deadline: January 22, 2015 * Any proposal can be sent by e-mail to: INNSBigData2015SpecialSessions(a)gmail.com<mailto:INNSBigData2015SpecialSessions@gmail.com> Call for Tutorials<http://innsbigdata.org/tutorials/> and Workshops:<http://innsbigdata.org/workshops/> * Deadline: January 22, 2015 * Any questions can be sent to the Tutorials & Workshops Chairs: Marley Vellasco (PUC-Rio. Rio de Janeiro. Brazil)<mailto:Marley%20Vellasco%20(PUC-Rio.%20Rio%20de%20Janeiro.%20Brazil)%20%3cmarley@ele.puc-rio.br%3e> and Trevor Martin (Univ. of Bristol, UK)<mailto:Trevor%09Martin%20(Univ.%20of%20Bristol.%20UK)%20%3ctrevor.martin@bristol.ac.uk%3e>. ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]The Elsevier USD 2000 Big Data Best Paper Award:<http://innsbigdata.org/best-paper-award/> This award recognizes the best paper presented at the INNS Big Data conference. Both application and theoretical papers will be considered. It will be awarded by the Big Data Analytics Section of the International Neural Network Society and is sponsored by Elsevier. The Award consists of a plaque and a $2000 honorarium. ________________________________ Dr. Fen Zhao Talk<http://innsbigdata.org> Dr. Fen Zhao, a Staff Associate at the Office of the Assistant Director (OAD) for Computer & Information Science & Engineering (CISE) at the National Science Foundation, will give a talk on national big data R&D initiative and on building public-private partnerships around CISE's Big Data, next generation internet, and cybersecurity R&D portfolios. ________________________________ PLENARY SPEAKERS:<http://innsbigdata.org/> [http://innsbigdata.org/wp-content/uploads/2014/11/Bin-Yu.jpg] Prof. Bin Yu<https://www.stat.berkeley.edu/~binyu/Site/Welcome.html>, Chancellor´s Professor, University of California<http://www.universityofcalifornia.edu/>, Berkeley. Bin Yu is Chancellor’s Professor in the Departments of Statistics and of Electrical Engineering & Computer Science at the University of California at Berkeley. She held faculty positions at UW-Madison and Yale University and was a Member of Technical Staff at Lucent Bell Labs. She was Chair of Department of Statistics at Berkeley from 2009 to 2012, and is a founding co-director of the Microsoft Joint Lab on Statistics and Information Technology at Peking University where she is also Chair of the scientific advisory committee of the Center for Statistical Sciences. She has published over 80 scientific papers in premier journals in statistics, machine learning, information theory, signal processing, remote sensing, neuroscience, network analysis, and bioinformatics. She is a Member of the U.S. National Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. [http://innsbigdata.org/wp-content/uploads/2014/11/Raghu.jpg] Prof. Raghu Ramakrishnan<http://pages.cs.wisc.edu/~raghu/>, Head of Cloud and Information Services Lab (CISL) and big data team, Microsoft<http://research.microsoft.com/en-us/events/fs2013/raghu-ramakrishnan_bigdat…> Raghu Ramakrishnan heads the Cloud and Information Services Lab (CISL) in the Data Platforms Group at Microsoft, and leads development for the Big Data team. From 1987 to 2006, he was a professor at University of Wisconsin-Madison, where he wrote the widely-used text “Database Management Systems” and led a wide range of research projects in database systems (e.g., the CORAL deductive database, the DEVise data visualization tool, SQL extensions to handle sequence data) and data mining (scalable clustering, mining over data streams). In 1999, he founded QUIQ, a company that introduced a cloud-based question-answering service. He joined Yahoo! in 2006 as a Yahoo! Fellow, and over the next six years served as Chief Scientist for the Audience (portal), Cloud and Search divisions, driving content recommendation algorithms (CORE), cloud data stores (PNUTS), and semantic search (“Web of Things”). Ramakrishnan has received several awards, including the ACM SIGKDD Innovations Award, the SIGMOD 10-year Test-of-Time Award, the IIT Madras Distinguished Alumnus Award, and the Packard Fellowship in Science and Engineering. [http://innsbigdata.org/wp-content/uploads/2014/11/brenda.jpg] Prof. Brenda Dietrich,<https://www-03.ibm.com/ibm/history/witexhibit/wit_fellows_dietrich.html> IBM Fellow and VP, Leads the Emerging Technologies Team for IBM Watson, IBM<http://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/> Brenda Dietrich is an IBM Fellow and Vice President. She joined IBM in 1984 and has worked in the area now called analytics for her entire career, applying data and computation to business decision processes throughout IBM. For over a decade she led the Mathematical Sciences function in the IBM Research division where she was responsible for both basic research on computational mathematics and for the development of novel applications of mathematics for both IBM and its clients. She has been the president of INFORMS, has served on the Board of Trustees of SIAM, and is a member of several university advisory boards. She holds more than a dozen patents, has co-authored numerous publications, and frequently speaks on analytics at conferences. She was elected to the National Academy of Engineering in 2014. She holds a BS in Mathematics from UNC and an MS and Ph.D. in OR/IE from Cornell. Her personal research includes manufacturing scheduling, services resource management, transportation logistics, integer programming, and combinatorial duality. She currently leads the emerging technologies team for IBM Watson, extending and applying IBM’s cognitive computing technology. ________________________________ [http://innsbigdata.org/wp-content/uploads/2014/09/new.gif]TUTORIALS & WORKSHOPS: TUTORIALS * Deep Learning - Profs. Juergen Schmidhuber<http://people.idsia.ch/~juergen/> (University of Lugano<http://www.inf.usi.ch/index.htm>, and the Swiss AI Lab IDSIA<http://www.idsia.ch/>) and Dong Yu<http://research.microsoft.com/en-us/people/dongyu/> (Microsoft Research<http://research.microsoft.com/en-us/>) * Introduction to How Brain Deals with Big Data - Juyang Weng<http://www.cse.msu.edu/~weng/> (Michigan State University<http://www.msu.edu/>) * Platforms and Algorithms for Big Data Analytics - Prof. Chandan K. Reddy<http://www.cs.wayne.edu/~reddy/> (Wayne State University<http://wayne.edu/>) * Big Data Analytics, Machine Learning Cognitive Algorithms and the Mind - Prof. Leonid I. Perlovsky<http://www.northeastern.edu/cos/psychology/people/faculty/> (Northeastern University<http://www.northeastern.edu/>) * Spiking Neural Networks and Neuromorphic Spatio-Temporal Data Machines - Prof. Nikola Kasabov <http://www.aut.ac.nz/profiles/nikola-kasabov> (Auckland University of Technology<http://www.aut.ac.nz/>) * Online Learning for Big Data Analytics - Prof. Irwin King<https://www.cse.cuhk.edu.hk/irwin.king.new/> (Chinese University of Hong Kong<http://www.cuhk.edu.hk/english/index.html>) WORKSHOPS * Deep Learning - Profs. Juergen Schmidhuber<http://people.idsia.ch/~juergen/> and Dong Yu<http://research.microsoft.com/en-us/people/dongyu/> * Neuromorphic Spatio-Temporal Big Data Machines - Prof. Nikola Kasabov <http://www.aut.ac.nz/profiles/nikola-kasabov> * Neural networks and wearable devices - Prof. Danilo Mandic<http://www.commsp.ee.ic.ac.uk/~mandic/> * Big Data and Power Systems - Profs. Dejan Sobajic and Kumar Venayagamoorthy * Crowd Behaviour and Big Data - Profs. Chrisina Jayne and Mehmed Kantardzic ________________________________ Neural Networks Special Issue: Neural Network Learning in Big Data<http://www.journals.elsevier.com/neural-networks/call-for-papers/special-is…> For this special issue of Neural Networks, we invite papers that address many of the challenges of learning from big data. In particular, we are interested in papers on efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of online learning to solve real-world big data problems (e.g. health care, transportation, and electric power and energy management). Manuscript submission due: January 15, 2015 Big Data Analytics Section @ INNS<http://www.inns.org/big-data-section> Considering the growing interest to process and analyse big data, the International Neural Network Society (INNS) has a new Section on Big Data Analytics (BDA) to help the neural network field position itself as a leading technology contributor to big data analytics. Anyone who is interested to know more is encouraged to visit the homepage of the INNS-BDA Section<http://www.inns.org/big-data-section>. ________________________________ We have an enthusiastic team working hard on the conference program and events. Start thinking about your paper submissions. Our Chairs for the [Special Sessions, Tutorials, and Workshops] are expecting your proposals soon - email them to discuss your ideas. Come to San Francisco next summer to take part in the future of BigData, and to have fun!! ________________________________ GENERAL CHAIRS:<http://innsbigdata.org/committees/> Asim Roy<https://webapp4.asu.edu/directory/person/9973> (email<mailto:Asim%20Roy.%20General%20Co-Chair.%20INNS%20BigData2015.%20Arizona%20StateU.%20USA%20%3cASIM.ROY@asu.edu%3e>) INNS BigData General Co-Chair Arizona State University, USA INNS Board of Governors Plamen Angelov<http://www.lancaster.ac.uk/staff/angelov/> (email<mailto:Plamen%20Angelov.%20General%20Co-Chair.%20INNS%20BigData2015.%20Lancaster%20U.%20UK%20%3cp.angelov@lancaster.ac.uk%3e>) INNS BigData General Co-Chair Lancaster University, UK Chair in Intelligent Systems ________________________________ Many thanks to our Sponsors: [http://www.inns.org/assets/site/neural.png]<http://www.inns.org/> [http://innsbigdata.org/wp-content/uploads/2014/10/elsevier-logo-300x300-150…]<http://www.elsevier.com/> To unsubscribe from this list, send an email to Jose Antonio Iglesias, INNS BigData 2015 Publicity Co-Chair, Carlos III Univ, Madrid, Spain<mailto:Jose%20Antonio%20Iglesias.%20INNS%20BigData%202015%20Publicity%20Co-Chair.%20Carlos%20III%20Univ.%20Madrid.%20Spain%20%3cBigData2015-INNS-SanFrancisco@BillHowell.ca%3e?subject=Remove%20my%20email&body=Click%20to%20send.%20This%20will%20remove%20your%20email%20address%20from%20the%20INNS%20mass%20email%20list.> with the phrase "Remove my email" in the Subject line.

Jan. 14, 2015

RLDM2015: Abstract submissions deadline in one month!

by Yael Niv

The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2015) www.rldm.org<http://www.rldm.org/> June 7-10, The University of Alberta, Edmonton, Alberta, Canada ====================================================== Submissions to RLDM2015 are now being accepted at https://cmt.research.microsoft.com/RLDM2015 Deadline: 13 February 2015, midnight EST We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to “learning and decision making over time to achieve a goal”, coming from any discipline or disciplines, describing empirical results from human, animal or animat experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear. Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). LaTeX and RTF templates, and sample submissions, are available from http://rldm.org/rldm2015/submission-procedure/ Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors’ separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available. To submit your abstract please go to https://cmt.research.microsoft.com/RLDM2015 Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations. IMPORTANT DATES: Submissions open: 13 Dec 2015 Submissions close: 13 Feb 2015, 11:59pm EST Notification of acceptance: by March 28, 2015 (expedited reviewing for those needing an international visa can be requested) Early registration: 21 April 2015 Meeting: 7-10 June 2015, Edmonton, Alberta (*NEW* this year: Tutorials on the 7th) RLDM2015 Invited speakers: http://rldm.org/rldm2015/invited-speakers2015/ RLDM2015 Tutorials: http://rldm.org/rldm2015/tutorials/ RLDM2015 Programme Committee: http://rldm.org/rldm2015/committees/rldm2015-program-committee/ To ensure that you receive future announcements about RLDM2015 please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the “join list” button, and choose “all email” from the options at the bottom).

Jan. 14, 2015

CFP: ICC'15 Workshop - 4th IEEE SCPA 2015 - June 8-12, 2015. London, UK

by Sandra Sendra

Apologies for crossposting -------------------- CALL FOR PAPERS (DEADLINE EXTENDED) ----------------- 4th IEEE International Workshop on Smart Communication Protocols and Algorithms (SCPA 2015) June 8-12, 2015. London, UK In conjunction with IEEE ICC 2015 http://scpa.it.ubi.pt/2015/ Selected papers will be invited to the Special Issue on Smart Protocols and Algorithms of the International Journal Network Protocols and Algorithms (ISSN 1943-3581) or to the Special Issue on Recent Patents on Telecommunications Journal ((Online)ISSN 2211-7415, (Print) ISSN 2211-7407) Communication protocols and algorithms are needed to communicate network devices and exchange data between them. The appearance of new technologies usually comes with a protocol procedure and communication rules that allows data communication while taking profit of this new technology. Recent advances in hardware and communication mediums allow proposing new rules, conventions and data structures which could be used by network devices to communicate across the network. Moreover, devices with higher processing capacity let us include more complex algorithms that can be used by the network device to enhance the communication procedure. Smart communication protocols and algorithms make use of several methods and techniques (such as machine learning techniques, decision making techniques, knowledge representation, network management, network optimization, problem solution techniques, and so on), to communicate the network devices to transfer data between them. They can be used to perceive the network conditions, or the user behavior, in order to dynamically plan, adapt, decide, take the appropriate actions, and learn from the consequences of its actions. The algorithms can make use of the information gathered from the protocol in order to sense the environment, plan actions according to the input, take consciousness of what is happening in the environment, and take the appropriate decisions using a reasoning engine. Goals such as decide which scenario fits best its end-to-end purpose, or environment prediction, can be achieved with smart protocols and algorithms. Moreover, they could learn from the past and ! use this knowledge to improve futur e decisions. In this workshop, researchers are encouraged to submit papers focused on the design, development, analysis or optimization of smart communication protocols or algorithms at any communication layer. Algorithms and protocols based on artificial intelligence techniques for network management, network monitoring, quality of service enhancement, performance optimization and network secure are included in the workshop. We welcome technical papers presenting analytical research, simulations, practical results, position papers addressing the pros and cons of specific proposals, and papers addressing the key problems and solutions. The topics suggested by the conference can be discussed in term of concepts, state of the art, standards, deployments, implementations, running experiments and applications. Topics of interest: Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, including, but are not limited to, the following topic areas: - Smart network protocols and algorithms for multimedia delivery - Application layer, transport layer and network layer cognitive protocols - Cognitive radio network protocols and algorithms - Automatic protocols and algorithms for environment prediction. - Algorithms and protocols to predict data network states. - Intelligent synchronization techniques for network protocols and algorithms - Smart protocols and algorithms for e-health - Software applications for smart algorithms design and development. - Dynamic protocols based on the perception of their performance - Smart protocols and algorithms for Smartgrids - Protocols and algorithms focused on building conclusions for taking the appropriate actions. - Smart Automatic and self-autonomous ad-hoc and sensor networks. - Artificial intelligence applied in protocols and algorithms for wireless, mobile and dynamic networks. - Smart security protocols and algorithms - Smart cryptographic algorithms for communication - Artificial intelligence applied to power efficiency and energy saving protocols and algorithms - Smart routing and switching protocols and algorithms - Cognitive protocol and algorithm models for saving communication costs. - Any kind of intelligent technique applied to QoS, content delivery, network Monitoring and network management. - Smart collaborative protocols and algorithms - Problem recognition and problem solving protocols Genetic algorithms, fuzzy logic and neural networks applied to communication protocols and algorithms Important Dates Submission Deadline: 31st January, 2015 (FINAL DEADLINE - no further extensions) Acceptance Notification: 1st March, 2015 Camera Ready Deadline: 15th March, 2015 Submission guidelines: All submissions must be full papers in PDF format and uploaded on EDAS (http://edas.info/newPaper.php?c=18713) All submissions should be written in English with a maximum paper length of five (5) printed pages (10-point font) including figures without incurring additional page charges. General Chairs Jaime Lloret Mauri, Universitat Polit�cnica Val�ncia, Spain Joel Rodrigues, Instituto de Telecomunica��es, Univ. of Beira Interior, Portugal TPC Chairs Ivan Stojmenovic, University of Ottawa, Canada Guangjie Han, Hohai University, China Panel Chairs Honggang Wang, University of Massachusetts, USA Daqiang Zhang, Tongji University, China Industry Chairs Antonio S�nchez-Esguevillas, Telefonica R&D, Spain Neeraj Kumar, Thapar University, Patiala (Punjab), India Publicity Chair Sandra Sendra, Universitat Polit�cnica Val�ncia, Spain Web Chair Alejandro C�novas Solbes, Universitat Polit�cnica Val�ncia, Spain

Jan. 13, 2015

ECMLPKDD 2015: Call for Papers, Tutorials and Workshops

by ECMLPKDD 2015

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

Jan. 12, 2015

Fwd: Summer CAMP@Bangalore: Short course in Computational Approaches to Memory and Plasticity

by U.S.Bhalla

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

Jan. 12, 2015

Postdoctoral positions in computational neuroscience at Wright State University

by Sherif Elbasiouny

*_Postdoctoral positions in computational neuroscience_* Two postdoctoral Fellow positions in Computational Neuroscience are available immediately in the laboratory of Dr. Sherif Elbasiouny (/T//he Neuro Engineering, Rehabilitation, and Degeneration Lab/) at the Department of Neuroscience, Cell Biology, and Physiology, Wright State University, Dayton, Ohio. The research work involves the development of anatomically detailed computational models of neurons in the spinal cord to investigate the basis of their neuronal excitability. Dr. Elbasiouny’s lab is currently investigating the ionic mechanisms underlying motoneuron function for neurorehabilitation applications and in neurodegenerative diseases, such as amyotrophic lateral sclerosis. *Required*: The successful applicant should have: 1) a PhD in computational neuroscience, engineering, computer science, mathematics, or related areas, 2) previous research experience in computational neuroscience. *Desired*: Although not mandatory, it is it highly desirable if the applicant has: 1) experience in the development of anatomically detailed computational models of single cells, and 2) experience in using the NEURON simulation environment. The positions are available immediately. The salary package is competitive and will be based upon the applicant’s experience. Funding for these positions is available for couple of years with possible extension upon research progress. Qualified applicants should email Dr. Elbasiouny at sherif.elbasiouny(a)wright.edu <mailto:sherif.elbasiouny@wright.edu>with the following: 1) CV including a list of publications, 2) a brief statement of research interests, and 3) three recommendation letters emailed directly by the references to Dr. Elbasiouny.For full consideration, please apply before March 1, 2015. Wright State University is an Equal Opportunity/Affirmative Action Employer. It is the university's policy to prohibit discrimination and provide equal opportunity to all employees and applicants for employment, without regard to their race, sex (including gender identity/expression), color, religion, ancestry, national origin, age, disability, veteran status, military or sexual orientation. Regards, Sherif Elbasiouny -- Sherif M. Elbasiouny, PhD, PE Assistant Professor Departments of Neuroscience, Cell Biology, & Physiology (NCBP) and Biomedical, Industrial & Human Factors Engineering (BIE) Wright State University 143 Biological Sciences II (mail) 243 Biological Sciences II (lab) 251B Biological Sciences II (office) 3640 Col Glenn Hwy Dayton OH 45435 Office Phone: 937-775-2492 https://www.med.wright.edu/ncbp/elbasiouny

Jan. 12, 2015

MOOSE 3.0.1 "Gulab Jamun"

by U.S.Bhalla

We announce the release of MOOSE 3.0.1 "Gulab Jamun" The Gulab Jamun release is the second in series 3 of MOOSE releases. Websites: http://moose.ncbs.res.in, http://sourceforge.net/projects/moose MOOSE is the Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, circuits, and large networks. MOOSE can operate at many levels of detail, from stochastic chemical computations, to multicompartment single-neuron models, to spiking neuron network models. MOOSE 3.0.1 is an evolutionary increment over 3.0.0:: - The GUI moves into beta with substantially more kinetic modeling features, as well as an early release of the neuronal modeling interface in the GUI. - Multiscale modeling updates including better cross-compartment reaction support, including stochastic reactions in subsets of the compartments. - General robustness and error reporting improvements for solvers. - HSolver updates to handle NMDA and derived classes of channels with Ca currents. - Better release packaging About the name: Gulab Jamun is a classic North Indian sweet consisting of deep brown spheres involving milk solids, cardamom and other spices, floating in a rich syrup. Best wishes and Happy New Year, The MOOSE team: Harsha Rani, Aviral Goel, Dilawar Singh, Aditya Gilra, Subhasis Ray, Upi Bhalla

Jan. 11, 2015

tenure-track faculty position - Assistant Professor - Systems biology and Alzheimer's disease

by Christopher Gaiteri

tenure-track faculty position - Assistant Professor - Systems biology and Alzheimer's disease Make creative analytic contributions to understanding Alzheimer's disease at Rush University, a major center for aging and age-related disease research, located in Chicago, IL. Our Alzheimer's center offers an integrated clinical and research environment that has a constantly growing collection of multi-omic data on hundreds of individuals, at various ages and levels of cognitive function. These omics data can be studied against a backdrop of hundreds of cognitive and behavioral phenotypes that are tracked longitudinally in these subjects and thousands of others. We are searching for a tenure-track assistant professor to construct and contribute to systems biology models that enhance our understanding of age-related dysfunction and Alzheimer's disease. These models should lead to actionable, molecular or tissue-level predictions, which can be tested in experimental systems. Requirements: MD/PhD or PhD in Neuroscience, Mathematics, Systems Biology or related fields Experience with omics and big data, including any or ideally all of: structural and functional neuroimaging, proteomics, RNAseq, genetics and methylation Expertise in R, matlab and python Interests in network-based analysis of disease-related data Preference for: Publication history in graph theory, systems biology and neuroscience Familiarity with complex disease neurobiology Experience in design and implementation of large-scale cellular simulations Java, perl, parallel programming and batch execution systems Experience designing or performing high-throughput experiments Post-doctoral training The ideal candidate is free to develop an independent research program around aging, age-related disease and/or systems biology analysis. He/she will also collaborate with current faculty and develop and maintain external funding. Salary commensurate with relevant experience and skills. Instructions for applying: Send your CV to gaiteri(a)gmail.com AND ALSO include a paragraph on one of the following topics: 1. How will you identify key pathological mechanisms in a multi-omic disease setting, potentially in collaboration with experimental labs? 2. How will you develop multi-modal or multi-scale models of complex brain diseases? 3. What is the most under-appreciated statistical or mathematical technique that you expect could lead to insights in brain diseases?

Jan. 11, 2015

summer undergrad program in computational neuroscience

by Dave Touretzky

Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition in Pittsburgh. The Center for the Neural Basis of Cognition is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. The 2015 program will most likely run from May 26 through July 31, 2015 (pending confirmation on dormitory availability). The final deadline for application is Feb 16, 2015. All participants must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds with some experience in calculus, statistics and/or computer programming. Experience in neuroscience is not required. Students from groups underrepresented in the sciences are encouraged to apply. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include: 12 faculty lectures on computational neuroscience at the beginning, followed by student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. Application form is available at: http://www.cnbc.cmu.edu/summercompneuro Application can be returned via email or regular mail (see addresses below). In addition to the application, the following items are required for evaluation: * A brief (one page) essay about your interest and experience in neural computation. * Official transcript from the institution you are attending * Two letters from professional references. You should contact your recommenders and ask them to mail or email a letter directly to us. * SAT/ACT scores (do NOT have to be official; photocopies are acceptable) Documents should be mailed to: Computational Neuroscience Summer Program Center for the Neural Basis of Cognition Carnegie Mellon University 4400 Fifth Avenue Suite 115 Pittsburgh, PA 15213-2617 CNBC-summer-UG(a)andrew.cmu.edu Brief list of CMU-Pitt CNBC faculty working in computational neuroscience: John Anderson (Carnegie Mellon, Psychology) Aaron Batista (University of Pittsburgh, Bioengineering) Marlene Behrmann (Carnegie Mellon, Psychology) Marlene Cohen (University of Pittsburgh, Neuroscience) Carol Colby (University of Pittsburgh, Neuroscience) Steve Chase (Carnegie Mellon, ECE/Biomedical Engineering) Brent Doiron (University of Pittsburgh, Mathematics) William Eddy (Carnegie Mellon, Statistics) Bard Ermentrout (University of Pittsburgh, Mathematics) Julie Fiez (University of Pittsburgh, Psychology) Raj Gandhi (University of Pittsburgh, Department of Bioengineering) John Horn (University of Pittsburgh, Neurobiology) Robert Kass (Carnegie Mellon, Statistics) Charles Kemp (Carnegie Mellon, Psychology) Sandra Kuhlman (Carnegie Mellon, Biology) Tai Sing Lee (Carnegie Mellon, Computer Science) Tom Mitchell (Carnegie Mellon, Machine Learning) Carl Olson (Carnegie Mellon, Neural Basis of Cognition) Anne-Marie Oswald (University of Pittsburgh, Neuroscience) Monica Perez (University of Pittsburgh, Neurobiology & Rehabilitation) David Plaut (Carnegie Mellon, Psychology) Lynne Reder (Carnegie Mellon, Psychology) Erik Reichle (University of Pittsburgh, Psychology) Johnathan Rubin (University of Pittsburgh, Mathematics) Walt Schneider (University of Pittsburgh, Psychology) Andrew Schwartz (University of Pittsburgh, Bioengineering) Daniel Simons (University of Pittsburgh, Neurobiology) Matthew Smith (University of Pittsburgh, Ophthalmology) Peter Strick (University of Pittsburgh, Psychiatry) Michael Tarr (Carnegie Mellon, Psychology) Dave Touretzky (Carnegie Mellon, Computer Science) Robert Turner (University of Pittsburgh, Neurobiology) Nathan Urban (Carnegie Mellon, Biology) Valerie Ventura (Carnegie Mellon, Statistics) Timothy Verstynen (Carnegie Mellon, Psychology) Douglas Weber (University of Pittsburgh, Physical medicine and Rehabilitation) Byron Yu (Carnegie Mellon, ECE/Biomedical Engineering) A full list can be found at: http://www.cnbc.cmu.edu/

Jan. 10, 2015

Post doc/engineer position in direct brain control of muscle stimulators

by Dawn Taylor

We currently have an opening for a postdoc or engineer for the vA-funded neuroprosthetics study described below. If interested, please send a CV to Dr. Dawn Taylor at dxt42(a)case.edu. The long-term goal of this project is to enable paralyzed individuals to use their brain signals to control their upper limb via implanted muscle stimulators. Most labs working on brain-controlled neuroprosthetics decode intended limb kinematics (e.g. velocity, joint angles, etc.) from the recorded brain signals. However, that approach still requires converting those kinematic commands into the appropriate stimulation patterns required to generate the desired limb motion. That conversion process has not been resolved for the upper limb due to the limb's complex dynamical nature and the fact that the limb is subject to unknown external forces during use. We bypass this obstacle by retraining the brain to control muscle stimulators directly. We have come up with some novel, but clinically feasible ways of mapping neural signals directly to muscle stimulators. Our methods can enable the user to have good control over both limb motion and stiffness. To demonstrate and refine our methods, we are training monkeys to control the movements of a realistic musculoskeletal model of a paralyzed limb activated via implanted muscle stimulators. The paralyzed limb simulator (developed by the lab of Robert Krisch) provides real-time visual feedback to the animal of the limb motion that would result from stimulating the paralyzed muscles based on the animal's neural signals decoded in real time. The use of this real-time paralyzed arm simulator allows us to test and refine our process of brain-controlled muscle stimulation in monkeys without actually having to paralyze any animals. -- Dawn M. Taylor, Ph.D. Assistant Professor of Neuroscience, Cleveland Clinic Researcher Scientist, Cleveland VA Medical Center, Functional Electrical Stimulation Center Assistant Professor of Biomedical Engineering & of Molecular Medicine, Case Western Reserve University The Cleveland Clinic Lerner Research Institute 9500 Euclid Ave. / NC30 Cleveland, OH 44195 email: dxt42(a)case.edu or taylord8(a)ccf.org Phone: (216) 636-0140 Fax: (216) 778-4259

Jan. 9, 2015

[jobs] Post Doc position in Humanoid Robotics Research

by Patricia Hazel Shaw [phs]

We Apologise for multiple cross postings ========================================================================= Post-Doctoral Research Associate vacancy Three-year fixed-term Robotics Research Group, Department of Computer Science, Aberystwyth University, Wales, UK £32,277 – £37,384 Applicants are invited to join the Robotics Laboratory for a new project (entitled Developmental Algorithms for Robotics”). The project is focusing on developmental robotic learning based on an iCub humanoid robot. This is a three year EPSRC funded project running at Aberystwyth University, with the support of an International Scientific Advisory Board containing leading developmental psychologists. We wish to appoint two Post-Doctoral Research Associates who will develop and implement models based on the psychological literature, and conduct experiments on our iCub humanoid robot. One successful applicant will be responsible for understanding psychological literature and generating models based on the literature, whilst the other successful applicant will be responsible for software implementation and experimentation. This invitation is for the Scientific Modelling post, details below. For informal enquiries contact Patricia Shaw: phs(a)aber.ac.uk +44 (0)1970-622432 Ref: IMPACS.14.22  Closing Date: 5 February 2015  Interview Date: Week commencing 16 February 2015 For information and application forms please go to www.aber.ac.uk/en/hr/jobs/vacancies-external/ ========================================================================= The Project: “Developmental Algorithms for Robotics” The project aims to investigate a mechanism for robots, building on top of basic spatial sensorimotor competencies, that drives the autonomous development of new behaviours and self learning about novel events for which they have no prior experience. This will involve (1) expanding existing motor-babbling activity into object play behaviour, (2) formulating play behaviour as a viable mechanism for autonomous learning about unknown environments, (3) establishing an extended schema concept as a mechanism for integrating memory, experience generalization and action generation, (4) exploring action perception from the agent's experience, and (5) close monitoring of the work with psychological data and expert psychologists. The project will closely follow current knowledge on infant development and aim to reproduce behaviour as reported in the psychological literature. In particular the focus will be on three areas of core knowledge: (1) Object understanding, (2) Interaction with animate objects, and (3) Tool use. The work will be supported by collaboration with leading developmental psychologists on the project scientific advisory panel. This will produce models and mechanisms that can be implemented and tested experimentally against psychological benchmarks. The models will be validated with challenging demonstrators based on a single humanoid robotic platform (iCub). As a main outcome, the project will advance the understanding and application of intrinsic motivations in autonomous learning systems and robots. This overall goal will be achieved with the support of an International Scientific Advisory Board, consists of: Kevin O'Regan, Jacqueline Fagard, Merideth Gattis, David Whitebread, Giorgio Metta, QinetiQ and Lego. The Appointment (PDRA) – Scientific modeller Applications are invited for the post of Post-Doctoral Research Associate on this project at Aberystwyth University. The successful applicant will have a relevant background, experience of research (as demonstrated by PhD and/or publications), and proven abilities in mathematical/scientific modelling. The main tasks will involve analysing the psychological literature to develop models and experiments for testing on an iCub humanoid robot. This will be supported by another PDRA, and PhD student, who will have special responsibility for implementing the models whilst maintaining and supporting the robot. Other tasks include writing scientific documents and papers, documenting experiments and writing reports, supervising a PhD student, responsibility for day-to-day management of project needs, and collaborating with the scientific advisory panel and other researchers. Regular European travel will be involved. This post is available on a three-year fixed-term contract, funded by the EPSRC. Salary will be on the IA scale for Research Staff in the range: £32,277 - £37,384 (depending upon qualifications and experience). We expect to appoint for a start date in the first quarter of 2015.

Jan. 9, 2015

Postdoctoral and PhD positions, Personal Robotics lab, Imperial College London

by Demiris, Yiannis

Dear colleagues, two research positions (either at the postdoctoral or the PhD level) in machine learning for user-modelling and human-robot Interaction are available at the Personal Robotics Laboratory of the Department of Electrical and Electronic Engineering at Imperial College London. Successful applicants will work under the supervision of Dr Yiannis Demiris (www.demiris.info) in the context of the new EU H2020 project PAL (Personal Assistants for healthy Lifestyle, 2015-2019), which aims to develop personalised robotic systems and avatars to assist diabetic (T1DM) children and their caregivers. The PAL positions are available from 1st of March 2015 until the end of the project at the end of Feb 2019 subject to renewal. Additional PhD positions through the A*STAR-Imperial partnership programme (project “Robot Learning by Demonstration for Heterogeneous Bimanual Collaboration Tasks”), the Chinese Scholarship Council programme, and the Imperial PhD scholarship scheme, among others, are also available. For all positions, applicants should have an excellent background in mathematics, machine learning and software engineering, and should be committed to applying their research to real systems interacting with people in challenging environments. The positions offer an excellent working environment in one of the world's top research universities, in one of the most exciting cities in the world. The Department of Electrical and Electrical Engineering at Imperial was ranked as the top EE department in the UK in the recent REF 2014, while its Personal Robotics Laboratory offers an energetic, friendly intellectual environment with state of the art facilities http://www.imperial.ac.uk/PersonalRobotics For further information and links to application material: http://www.imperial.ac.uk/personalrobotics/join_us With best wishes, Yiannis ---- Dr Yiannis Demiris, FIET, FBCS, FRSS Reader (Associate Professor) in Personal Robotics, Department of Electrical and Electronic Engineering, Rm 1014, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK Tel: +44-(0)2075946300, FaxL +44-(0)2075946274 Personal webpage: http://www.iis.ee.ic.ac.uk/yiannis Laboratory webpage: http://www.imperial.ac.uk/PersonalRobotics - Visiting Scholar, Harvard University School of Engineering and Applied Sciences (SEAS), Maxwell Dworkin Building MD-336, 33 Oxford Street, Cambridge, MA 02138, USA

Jan. 8, 2015

Research Topic "Metastable dynamics of neural ensembles"

by Emili Balaguer-Ballester

Research Topic "Metastable dynamics of neural ensembles" http://journal.frontiersin.org/ResearchTopic/1955 A classical view on neural computation is that it can be characterized in terms of deterministic convergence to fixed-point-type attractor states (representing, e.g., memory patterns in Hopfield 1982) or limit-cycle-like sequential transitions among states (representing e.g. motor or syntactical sequences). Is this still a valid model of how brain dynamics implements cognition? The idea that neuro-computational dynamics is more or less deterministically driven by convergence to simple attractor states has recently been challenged both empirically and by computational work. In this Research Topic of Frontiers in Systems Neuroscience we welcome experimental studies and modelling contributions addressing the question of stable vs. transient neural population dynamics, and the potential role of noise and trial-to trial variability in neural computation. Major topics are, but are not restricted to: -Attracting and meta-stable dynamics of neural ensembles, both from empirical and computational modelling perspectives. -Coding by non-stationary and transient states in neural recordings -Spontaneous cortical activity dynamics -Metastable dynamics during cognitive processing -Oscillatory emergent patterns and propagation of waves in an excitable network -Trial-to-trial variability Please see more information in http://journal.frontiersin.org/ResearchTopic/1955. Deadline is on the 31st of March. BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

Jan. 6, 2015

Special Session on Transfer Learning - International Work Conference on Artificial Neural Networks, 10-12 June, 2015

by Jorge M. Santos

Please consider to contribute to the Special Session on Transfer Learning International Work Conference on Artificial Neural Networks, 10-12 June, 2015 - http://iwann.ugr.es/2015 Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. The TL approach has gained significant interest in the Machine Learning (ML) community since it paves the way to devise intelligent learning models that can easily be tailored to many different domains of applicability. The following aspects have recently contributed to the emergence of TL: Generalization Theory: TL often produces algorithms with good generalization capability for different problems; Efficient TL algorithms: TL provides learning models that can be applied with far less computational effort than standard ML methods; Unlabeled data: TL can be advantageous since unlabeled data can have severe implications in some fields of research, such as in the biomedical field. Some examples of topics for this special session: Big Data with Deep Neural Networks; Generalization Bounds; Domain Adaptation or Covariate Shift; Algorithms for TL; New advancements in TL; Real-world applications. Deadline: 6 February 2015 Organizers Luís M. Silva, Dep. of Mathematics, University of Aveiro, Portugal - lmas(a)ua.pt Jorge M. Santos, Dep. of Mathematics, School of Engineering, Polytechnic of Porto, Portugal - jms(a)isep.ipp.pt

Jan. 6, 2015

CFP (Deadline, 1 Feb 2015): IEEE Computational Intelligence Magazine (CIM) Special Issue: “Computational Intelligence for Changing Environments"

by Dr Amir Hussain

CALL FOR PAPERS (Deadline: 1 Feb 2015) - With advance apologies for any cross postings! IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (CIM) (http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10207) SPECIAL ISSUE (Nov 2015) ON "Computational Intelligence for Changing Environments" (http://www.cs.stir.ac.uk/~ahu/IEEE-CIM-CICE2015.pdf) AIMS AND SCOPE: Over the past decade or so, computational intelligence techniques have been highly successful for solving big data challenges in changing environments. In particular, there has been growing interest in so called biologically inspired learning (BIL), which refers to a wide range of learning techniques, motivated by biology, that try to mimic specific biological functions or behaviors. Examples include the hierarchy of the brain neocortex and neural circuits, which have resulted in biologically-inspired features for encoding, deep neural networks for classification, and spiking neural networks for general modelling. To ensure that these models are generalizable to unseen data, it is common to assume that the training and test data are independently sampled from an identical distribution, known as the sample i.i.d. assumption. In dynamic and non- stationary environments, the distribution of data changes over time, resulting in the phenomenon of ‘concept drift’ (also known as population drift or concept shift), which is a generalization of covariance shift in statistics. Over the last five years, transfer learning and multitask learning have been used to tackle this problem. Fundamental analyses using probably approximately correct (PAC) and Rademacher complexity frameworks have explained why appropriate incorporation of context and concept drift can improve generalizability in changing environments. It is possible to use human-level processing power to tackle concept drift in changing environments. Concept drift is a real-world problem, usually associated with online and concept learning, where the relationships between input data and target variables dynamically change over time. Traditional learning schemes do not adequately address this issue, either because they are offline or because they avoid dynamic learning. However, BIL seems to possess properties that would be helpful for solving concept drift problems in changing environments. Intuitively, the human capacity to deal with concept drift is innate to cognitive processes, and the learning problems susceptible to concept drift seem to share some of the dynamic demands placed on plastic neural areas in the brain. Using improved biological models in neural networks can provide insight into cognitive computational phenomena. However, a main outstanding issue in using computational intelligence for changing environments and domain adaptation is how to build complex networks, or how networks should be connected to the features, samples, and distribution drifts. Manual design and building of these networks are beyond current human capabilities. Recently, computational intelligence methods has been used to address concept drift in changing environments, with promising results. A Hebbian learning model has been used to handle random, as well as correlated, concept drift. Neural networks have been used for concept drift detection, and the influence of latent variables on concept drift in a neural network has been studied. In another study, a timing-dependent synapse model has been applied to concept drift. These works mainly apply biologically-plausible computational models to concept drift problems. Although these results are still in their infancy, they open up new possibilities to achieve brain-like intelligence for solving concept drift problems in changing environments. Taking the current state of research in computational intelligence for changing environments into account, the objective of this special issue is to collate this research to help unify the concepts and terminology of computational intelligence in changing environments, and to survey state-of-the-art computational intelligence methodologies and the key techniques investigated to date. Therefore, this special issue invites submissions on the most recent developments in computational intelligence for changing environments, algorithms and architectures, theoretical foundations, and representations, & their application to real-world problems. We also welcome timely surveys & review papers. TOPICS OF INTEREST include (but are not limited to): • Computational intelligence methodologies and implementation for changing environments •Transfer learning, Multitask learning, Domain adaption •Incremental Learning architectures, Unsupervised and semi-supervised learning architectures •Incremental Knowledge augmentation, Representation learning and disentangling •Incremental Adaptive Neuro-fuzzy systems •Incremental and single-pass data mining •Incremental Neural Clustering & Regression •Incremental Adaptive decision systems •Incremental Feature selection and reduction •Incremental Constructive Learning •Novelty detection in Incremental learning SUBMISSION PROCESS The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via: https://easychair.org/conferences/?conf=ieeecimcdbil2015 IMPORTANT (REVISED) DATES (for November 2015 Issue) 1st Feb, 2015: Submission of Manuscripts 15th April, 2015: Notification of Review Results 15th May, 2015: Submission of Revised Manuscripts 15th June, 2015: Submission of Final Manuscripts GUEST EDITORS Professor Amir Hussain, University of Stirling, Stirling FK9 4LA, Scotland, UK Email: ahu(a)cs.stir.ac.uk http://cs.stir.ac.uk/~ahu/ Professor Dacheng Tao, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia Email: dacheng.tao(a)uts.edu.au Professor Jonathan Wu University of Windsor, 401 Sunset Avenue, Windsor, ON, Canada Email: jwu(a)uwindsor.ca Professor Dongbin Zhao Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China E-mail: dongbin.zhao(a)gmail.com ----- A PDF copy of the CFP is attached with this email for forwarding to interested colleagues. It is also available for download from: http://www.cs.stir.ac.uk/~ahu/IEEE-CIM-CICE2015.pdf For more information on the IEEE CIM, see: http://cis.ieee.org/ieee-computational-intelligence-magazine.html -- 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.

Jan. 6, 2015

MBL Methods in Computational Neuroscience Course 2015: applications due March 5

by Mark Goldman

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

Jan. 6, 2015

CNS*2015 Call for Workshop Proposals - Deadline Approaching

by Farzan Nadim

CNS 2015 Prague July 1823, 2015: Call for Workshops DEADLINE APPROACHING We are requesting proposals for workshops from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting with just a few of the headaches of actually organizing it. Workshop proposal submission instructions for CNS 2015 The last two days (July 22-23) of the 24th annual CNS meeting will be devoted to workshops, in which computationally related neuroscience topics can be presented and discussed. Workshops can be anywhere between one half to two days in duration. Usually several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. Submit workshop proposals to: workshops(a)cnsorg.org. The Past Meetings page gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: 1. Workshop Title 2. Organizers (list primary organizer first; include affiliations and emails) 3. One or two days (2 sessions per day) 4. Number of expected speakers 5. Brief Description (~150 words; if possible, say why this is significant or timely) 6. Speakers (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: Each individual can be the organizer or co-organizer on only one workshop. The number of confirmed speakers is a criterion for accepting the proposal. Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. Workshops submitted before January 15, 2015 will be given priority in acceptance. Workshop proposals arriving after January 15, 2015 will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after May 15, 2015. Registration: Workshop registration will occur through the OCNS registration web site for CNS 2015. All workshop participants, including speakers must register. Each workshop is eligible to receive registration waivers for 2 speakers. Travel awards: a limited number of Travel Awards will be available for postdoctoral researchers to lead and be included as speakers. Exceptionally starting assistant professors may also be given consideration. These Travel Awards will be variable depending on distance traveled. Please indicate which speakers you would like to be considered for this mechanism but take into account that there will be less travel awards than workshops. Springer Computational Neuroscience Book Series: Some of the workshops may be published by the Springer Series in Computational Neuroscience. Workshop organizers interested in this mechanism should submit a book proposal to Simina Calin (Simina.calin(a)springer.com) and indicate in the workshop proposal their interest in publishing a book. Logistics: Rooms, AV equipment, snacks and beverages during breaks will be provided by OCNS to the workshop organizers.

Jan. 5, 2015

[publication and call for dialog] IEEE CIS Newsletter on Autonomous Mental Development, Fall 2014

by Pierre-Yves Oudeyer

Dear colleagues, For this new year, I am happy to announce the release of the Fall 2014 issue of the IEEE CIS Newsletter on Autonomous Mental Development. This is the biannual newsletter of the computational developmental sciences and developmental robotics community, studying mechanisms of lifelong learning and development in machines and humans. It is available at: http://www.cse.msu.edu/amdtc/amdnl/AMDNL-V11-N2.pdf Featuring: === “Trained on everything" === Dialog Initiated by Katharina Rohlfing, Britta Wrede and Gerhard Sagerer, with responses from Giulio Sandino and David Vernon, Franck Ramus and Thérèse Collins, Maha Salem, Juyang Weng, Thomas Schultz, and Christina Bergmann: In the years to come, one very important challenge in developmental sciences is education. Taking an integrated and interdisciplinary approach requires to handle with dexterity concepts and methods from diverse scientific fields ranging from psychology, neuroscience, biology, robotics, computer science or mathematics. How can we grow a community of young researchers mastering the latest advances? How can we teach them to establish cross-disciplinary collaboration and impact? === "Will social robots need to be consciously aware?” === New dialog initiated by Janet Wiles A large research community is today working towards the objective of building robots capable of believable, relevant and useful social interaction with humans. We are far from understanding what “consciousness” is, but intuition tells us that it would be very difficult for an “unconscious” human to enter into a social interaction. So what about robots? At least can we identify levels of awareness (of the self, of others) which constitute a necessary basis on which to build social competence? Those of you interested in reacting to this dialog initiation are welcome to submit a response by March 30th, 2015. The length of each response must be between 600 and 800 words including references (contact pierre- yves.oudeyer(a)inria.fr) Let me remind you that previous issues of the newsletter are all open-access and available at: http://www.cse.msu.edu/amdtc/amdnl/ I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Autonomous Mental Development Research director, Inria Head of Flower project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com https://flowers.inria.fr

Jan. 5, 2015

Postdoc Opportunity at Stanford in the Modulation of Neural Circuitry for Cognitive and Emotional Control

by Wei Wu

The Laboratory of Amit Etkin, MD PhD at Stanford Universityis currently accepting applications for a postdoctoral research fellowship focused on understanding and modulating the neural systems underlying cognitive and emotional control in both healthy individuals and patients with a range of psychiatric conditions. Special emphasis is put on use of causal circuit manipulation tools (eg TMS and concurrent TMS and fMRI) as well as a range of cognitive neuroscience paradigms at the behavioral, physiological and neural levels. The successful applicant will have a PhD in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Statistics or related fields. Experience with analysis of fMRI data and/or TMS is required. Additional experience with psychophysiology or programming is a plus. A US Citizenship is also required. Duties will also include manuscript preparation, presentation of findings at conferences, management of research assistants and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford University amitetkin(a)stanford.edu

Jan. 5, 2015

Last Mile: BIOTECHNO 2015 and BIOCOMPUTATION 2015 || May 24 - 29, 2015 - Rome, Italy

by Cristina Pascual

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies - BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation The submission deadline is extended to January 23, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== BIOTECHNO 2015 | BIOCOMPUTATION 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies General page: http://www.iaria.org/conferences2015/BIOTECHNO15.html Submission page: http://www.iaria.org/conferences2015/SubmitBIOTECHNO15.html BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation General page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html Submission page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#SubmitAPaper Events schedule: May 24 - 29, 2015 - Rome, Italy Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: January 23, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html BIOTECHNO 2015 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2015/CfPBIOTECHNO15.html ============================================================ A. Bioinformatics, chemoinformatics, neuroinformatics and applications Bioinformatics (Bioinformatics modeling; Bioinformatics databases; Epidemic models; Informatics and statistics in bio-pharmaceutical research; Machine learning and artificial intelligence in molecular design; Systems biology and metabolic networks; Medical informatics; Genomics informatics; Biostatistics; Structural and functional genomics; Identifying molecular sequence and structure databases; Mechanisms for specifying molecular interactions and structure predictions; Formalisms for gene regulation and expression databases; Algorithms for gene identification and pattern discovery; Techniques for gene expression analysis; Modeling and simulation of biomarkers) Advanced biocomputation technologies (Stochastic modeling; Computational drug discovery; Graph theory and bioinformatics; Biological databases and information retrieval; Experimental studies and results; Application of computational intelligence in medicine and biological sciences (artificial neural networks, fuzzy logic, evolutionary computing, and simulated annealing); High-performance computing as applied to natural and medical sciences; Hardware computing accelerators; Computer-based medical systems (automation in medicine, etc.); Other aspects and applications relating to technological advancements in medicine and biological sciences; Novel applications) Chemoinformatics (Computer-aided drug design; Concepts, methods, and tools for drug discovery; Virtual screening of chemical libraries; ADMET - absorption, distribution, metabolism, excretion, and toxicity; QSAR - quantitative structure-activity relationships; Protein-ligand docking and scoring functions; Chemical similarity and diversity; Chemogenomics in drug discovery; QSPR - quantitative structure-property relationships; Theoretical models in chemical reactivity; Mathematical chemistry and chemical graphs; In silico environmental toxicology; Computer-assisted chemical engineering; Combinatorial chemistry; Graph theory in chemistry; Prediction of drug toxicity; Property prediction; Molecular mechanics and quantum chemical calculations; Modeling and measurements of solid-liquid and vapor-liquid equilibria; Blood-brain barrier penetration; Comparison of the similarity(diversity of chemo-data libraries; Chemoinformatics applications) Bioimaging ( Image processing in medicine and biological sciences; Measurements techniques; Mass spectrometry; Numerical(mathematical approaches; Biological data integration and visualization) Neuroinformatics (Neurosciences; Neurocomputing) B. Computational systems (genetics, biology, and microbiology) Bio-ontologies and semantics (Software environments for bio-computation, bio-informatics, and biomedical applications; Medical informatics; Epidemic models; Biological data mining; Biomedical knowledge discovery; Pattern classification and recognition; Mathematical biology; Graph theory and bio-informatics; Stochastic modeling; Biological databases and information retrieval; Processing mutation information; Archiving of mutation specific information) Biocomputing (Computational biology; Bioengineering; Biomedical image computing and informatics; Biomedical automation and control; Image-based diagnosis and therapy; Modeling and simulation of systems biology; Applications of large-scale bio-systems) Genetics (Gene regulation; Gene expression databases; Gene pattern discovery and identification; Genetic network modeling and inference; Gene expression analysis; RNA and DNA structure and sequencing; Evolution of regulatory genomic sequences; Biological data mining and knowledge discovery; Bio-pattern classification and recognition; Bio-sequence analysis and alignment; Comparative genomics; Structural and functional genomics; Amino acid sequencing) Molecular and Cellular Biology (Protein modeling; Molecular interactions; Metabolic modeling and pathways; Evolution and phylogenetics; Macromolecular structure prediction; Proteomics; Protein folding and fold recognition; Molecular sequence and structure databases; Molecular dynamics and simulation; Molecular sequence classification, alignment and assembly) Microbiology (Bio-nanotechnologies; Self-assembly and self-replication; Global regulatory networks and mechanisms; Microbial propagation and immunity; Microbial therapies; Microbial life under extreme energy limitation; Cellular microbiology and contact systems; Phylogenetics; Genome dynamics; Transmission dynamics and evolution of emerging diseases; Metagenomics and drug resistance; Microbes and alternative energies) C. Biotechnologies and biomanufacturing Fundamentals in biotechnologies (Bioengineering; Bioelectronics; Biomaterials; Bio-films in ecology and medicine; Biometric screening techniques; Biorobotics) Biodevices (Biosensors; Biomechanical devices; Biochips; Biocomputing; Biometrics devices; Specialized biodevices; Nanotechnology for biosystems) Biomedical technologies (Biomedical engineering; Biomedical instrumentation; Biomedical metrology and certification; Biomedical sensors; Biomedical monitoring devices; Biomedical devices with embedded computers; Biomedical integrated systems) Biological technologies (Biological data integration; Image processing in medicine and biological sciences; Biological data visualization; Synthetic biological systems) Biomanufacturing (Manufacturing platforms; Biopharmaceutical industry; Generic biopharmaceuticals; Bioprocess management; Clinical trials; Disposables and product changeover; Upstream and downstream bioprocessing; Technology benchmarks; International regulations) BIOCOMPUTATION 2015 Topics (for topics and submission details: see CfP on the site) CfP: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#CallForPapers ========================== Big Data and Context-sensitive Computation Big Data and Cloud Technology and Services in BioComputation Big Data, Cloud computing and GPU (Graphical Process Units) for BioComputation Scale-up and high-performance techniques for data-centric BioComputation Big Data and Prediction Computational Models Big Data Computation Applications Big Data and Evolution Models Big Data and BioStatistics Big Data and Personalized Healthcare Computation Big Data in Genome Analytics Big Data and Computation on Illness Patterns/Variations (cancer, diabetes, etc.) Big Data and Donor Information Big Data and Drugs-related Computation Big Data and Health/eHealth/Telemedicine Computation Big Data and Computation in Clinical Context Big Data and BioImage Computation Big Data and Molecular Modeling Big Data and Computational Physics Big Data and Biological Systems Big Data and Scalability of BioComputation Tools Big Data and Trusted Bio-Datasets Big Data BioComputation and Regulator Borders ------------------------ BIOTECHNO 2015 Committee: http://www.iaria.org/conferences2015/ComBIOTECHNO15.html BIOCOMPUTATION 2015 Committee: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#Committees ===============

Jan. 5, 2015

Okinawa/OIST Computational Neuroscience Course 2015: applications open

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2015 Methods, Neurons, Networks and Behaviors June 8 - June 25, 2015 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 8th through June 25th, 2015 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; they will close February 8th, 2015. Applicants will receive confirmation of acceptance in March. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. We invite those who are interested in integrating experimental and computational approaches at each level, as well as in bridging different levels of complexity. There is no tuition fee. The sponsor will provide lodging and meals during the course and may support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Gordon Arbuthnott (OIST) • Axel Borst (MPI, Münich, Germany) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Eugene Izihikevich (Brain Corporation, USA) • Bernd Kuhn (OIST) • Peter Latham (Gatsby Unit, UCL, UK) • Miguel Nicolelis (Duke University, USA) • Steve Prescott (University of Toronto, Canada) • John Rinzel (New York University, USA) • Jackie Schiller (Technion, Israel) • Greg Stephens (OIST) • Jeff Wickens (OIST) • Taro Toyoizumi (RIKEN BSI, Japan) • Xiao-Jing Wang (New York University, USA) • Wako Yoshida (ATR, Japan)

Jan. 5, 2015

Neural-Inspired Computational Elements workshop and student competition

by Aimone, James Bradley

The 3rd Neural-Inspired Computational Elements (NICE) workshop will be held in Bernalillo, New Mexico between February 23rd and February 25th. This year's meeting will focus on the value proposition of neural inspired computing, with speakers discussing topics in neuroscience, neural-inspired algorithms, neural-inspired hardware, and application drivers. NICE is organized by scientists at Sandia National Laboratories and is co-sponsored by the Department of Energy Office of Science, DAPRA, and IARPA. For an updated speaker list and registration info, please go to http://nice.sandia.gov. STUDENT COMPETITION For this first time this year, we are having a student competition. Go to Student Thesis Competition<https://nm.kip.uni-heidelberg.de/jss/ApplyForThesisAward> (https://nm.kip.uni-heidelberg.de/jss/ApplyForThesisAward) to submit a student thesis abstract and advisor recommendation on a Neuro-inspired Computation related topic. Submissions must be in by January 16th, winners will be announced by January 30th. Three selected students will receive travel support to attend the workshop and have the opportunity to present a 10 minute 'snap overview'. Runner-up notable submissions will be considered for poster presentations during the workshop.

Jan. 4, 2015

postdoctoral position: olfactory coding and holographic optogentics

by Rinberg, Dmitry

Postdoctoral position in the Rinberg (NYU) – Shoham (Technion) labs to study olfactory coding using holographic optogenetics We are seeking a talented postdoctoral researcher for our collaborative BRAIN Initiative project to study behavioral readouts of spatiotemporal codes using holographic optogenetics. The project will advance and apply a new technology for spatiotemporal patterned control of multiple neurons in the peripheral olfactory system and use behavioral responses to test how these patterns are being read. An ideal candidate should have a background in neuroscience, physics and math. Knowledge and experience in computer-generated holography, mutliphoton imaging and/or nonlinear optics are a big plus. The work will be carried out at the NYU Neuroscience Institute with possible visits to the Technion; the candidate will gain both from NYU’s thriving neuroscience community and from the Technion’s excellence in advanced technology development. Interested applicants should send a cover letter, curriculum vitae, and arrange for reference letters to be sent to Dr. Dmitry Rinberg (rinberg(a)nyu.edu<mailto:rinberg@nyu.edu>).

Jan. 4, 2015

CFP: Special Issue on Neurobiologically Inspired Robotics: Enhanced Autonomy Through Neuromorphic Cognition

by Jeff Krichmar

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

Jan. 2, 2015

ICDL-EpiRob 2015 CFP

by Benjamin Rosman

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

Jan. 2, 2015

NEURAL COMPUTATION - January 1, 2015

by Terry Sejnowski

Editorial Neural Computation was founded with the goal of providing a home for the best research in computational approaches to understanding brain function. With this issue Neural Computation is now all electronic (color illustrations are free) and also has a broader scope. The goal of the BRAIN Initiative, announced by President Obama on April 2, 2013, is to accelerate progress in understanding basic principles of brain function by developing innovative neurotechnologies. The BRAIN 2025 report on the BRAIN Initiative highlighted Theory, Modeling, Computation and Statistics (TMCS) as essential to this goal (http://www.braininitiative.nih.gov/2025/index.htm) The neurotechniques developed by the BRAIN Initiative will scale up the acquisition of data by three orders of magnitude in the next decade. Every area of neuroscience, from molecular to systems, can benefit from advanced computational techniques to analyze, model, and interpret these data, serving as the foundation for conceptual advances in brain theories. Neural Computation is uniquely positioned at the crossroads between Neuroscience and TMCS and welcomes the submission of original papers from all areas of TMCS, including: * Advanced experimental design * Analysis of chemical sensor data * Connectomic reconstructions * Analysis of multielectrode and optical recordings * Genetic data for cell identity * Analysis of behavioral data * Multiscale models * Analysis of molecular mechanisms * Neuroinformatics * Analysis of brain imaging data * Neuromorphic engineering * Principles of neural coding, computation, circuit dynamics, and plasticity * Theories of brain function An expanded editorial board will guide Neural Computation in this broader arena: http://www.mitpressjournals.org/page/editorial/neco As the US BRAIN Initiative and the European Human Brain Project continue to expand, and as other countries launch new brain programs, Neural Computation will be central in integrating these international efforts. Terry Sejnowski ----- Neural Computation - Volume 27, Number 1 - January 1, 2015 Available online for download now: http://www.mitpressjournals.org/toc/neco/27/1 ----- Article Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis Carlos E. Vargas-Irwin, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, Michael J. Black Note Optimizing the Representation of Orientation Preference Maps in Visual Cortex Nicholas J. Hughes, Geoffrey J. Goodhill Letters Topological Sparse Learning of Dynamic Form Patterns T. Guthier, V. Willert, J. Eggert Dynamics of Gamma Bursts in Local Field Potentials Priscilla E. Greenwood, Mark D. McDonnell, Lawrence M. Ward Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision Matthew T. Harrison, Asohan Amarasingham, Wilson Truccolo Toward a Multisubject Analysis of Neural Connectivity C. J. Oates, L. Costa, T. E. Nichols Using Multilayer Perceptron Computation to Discover Ideal Insect Olfactory Receptor Combinations in the Mosquito and Fruit Fly for an Efficient Electronic Nose Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb Graph Degree Sequence Solely Determines the Expected Hopfield Network Pattern Stability Daniel Berend, Shlomi Dolev, Ariel Hanemann Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images Tom Brosch, Roger Tam Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization Voot Tangkaratt, Ning Xie, Masashi Sugiyama ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2015 - VOLUME 27 - 12 ISSUES Student/Retired $75 Individual $134 Institution $1,075 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

Dec. 30, 2014

Call for Papers: IEEE IJCNN'2015 Special Session on: "Emerging Methodologies for Big Data Integration"

by Dr Amir Hussain

CALL FOR PAPERS IEEE IJCNN 2015 Special Session on *"*Emerging Methodologies for Big Data Integration*"* July 12 - 17, 2015, Killarney, Ireland ( http://www.ijcnn.org/ ) ********************************************************** IMPORTANT DATES Paper submission: January 15th, 2015 Paper Decision notification: March 15th, 2015 Camera-ready submission: April 15th, 2015 Conference Dates: July 12 - 17th, 2015 *********************************************************** Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the main characteristics of such Big Data is that they are multi-view, i.e. there are multiple sources (in the “omics” sciences, experiments related to mRNA, miRNA etc.), relate the same patterns (in this case patients) or multi-domain (in biomedical applications for examples, “omics, imaging and clinical data). As a consequence, new methodologies based on neural networks, machine and statistical learning, computation Intelligence and others, have been proposed to integrate these kinds of big data and to elicit relevant information to infer novel models and correlations. The aim of the special session is to solicit new approaches to real world scientific and industrial big data integration, as well as applications of above mentioned Big Data methodologies. *Topics** Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics: Multi-view learning Multi-view clustering data fusion data integration multi-view data applications multi domain data applications THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF IJCNN 2015, January 15th 2015. All the submissions will be peer-reviewed with the same criteria used for other contributed papers. Perspective authors will submit their papers through the IJCNN2015 conference submission system at http://www.ijcnn.org/ Please make sure to select the Special Session "Emerging Methodologies for Big Data Integration " from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list; Templates and instructions for authors will be provided on the IJCNN webpage http://www.ijcnn.org/ All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the conference proceedings. Further information about IJCNN 2015 can be fond at http://www.ijcnn.org/ and about the special session at http://neuronelab.unisa.it/emerging-methodologies-for-big-data-integration/ *********************************************************** **Organizers** - Amir Hussain Professor of Computing Science and founding Director of the Cognitive Signal-Image Processing and Control Systems Research (COSIPRA) Laboratory, University of Stirling, UK (E-mail: ahu(a)cs.stir.ac.uk http://cs.stir.ac.uk/~ahu) - Giovanni Montana Professor and Chair in Biostatistics and Bioinformatics, Biomedical Engineering Department, King’s College, London, UK - Francesco Carlo Morabito Professor and Chair of the Neurolab, Dipartimento DICEAM, Università Mediterranea di Reggio Calabria, Italy - Roberto TAGLIAFERRI Professor and Chair of the Neuronelab, Dipartimento di Informatica, Università di Salerno, Italy **Technical Program Committee (being continuously updated)** Elia Mario Biganzoli, Università di Milano, Italy Erik Cambria, NTU, Singapore Ciro Donalek, Caltech, CA, USA Anna Esposito, Seconda Università di Napoli, Italy Marcos Faundez-Zanuy, Escola Universitaria Politecnica de Mataro (Tecnocampus), Spain Alexander Gelbukh, National Polytechnic Institute, Mexico Dario Greco, FIOH, Finland Newton Howard, MIT Media Lab, USA Pietro Liò, University of Cambridge, UK Bin Luo, Anhui University, China Mufti Mahmud, Antwerp University, Belgium Riccardo Rizzo, CNR, Italy Jingpeng Li, University of Stirling, UK Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy Alfredo Vellido, Universidad Politécnica de Cataluña, Spain Pierangelo Veltri, Università "Magna Graecia" di Catanzaro, Italy Jonathan Wu, University of Windsor, Canada Yunqing Xia, Tsinghua University, China Kang Li, Queen's University, Belfast, UK Dongbing Gu, Essex University, UK Vincent C. Müller, Anatolia College/ACT, Greece & Oxford University, UK Dongbin Zhao, Chinese Academy of Sciences, Beijing, China *********************************************************** -- 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.

Dec. 28, 2014

Teaching Computational Neuroscience

by Érdi Péter

A multiple book review: http://arxiv.org/abs/1412.5909 Péter Érdi http://people.kzoo.edu/~perdi/

Dec. 28, 2014

UC Santa Barbara Postdoc fellowship announcement

by John Hajda

SAGE JUNIOR FELLOW PROGRAM, SAGE CENTER FOR THE STUDY OF MIND, UNIVERSITY OF CALIFORNIA, SANTA BARBARA Job number JPF00417 Four postdoctoral positions will be available beginning on September 1, 2015. This is a three-year fellowship, and the competition is open to all qualified candidates regardless of institutional affiliation. The SAGE Center Junior Fellowship Program, established in 2011, fosters interdisciplinary research in the study of brain-mind interaction at the postdoctoral level. We are seeking a group of highly collaborative, interacting fellows who are willing to take different approaches to shared conceptual challenges. Qualified applicants should be able and will be encouraged to utilize the UCSB Brain Imaging Center (http://www.bic.ucsb.edu/) The Center supports the new PRISMA (3T) Siemens magnet as well as MRI compatible high density electroencephalography hardware. Center funding will be available for imaging studies. In addition to developing research programs in close collaboration with individual faculty, Junior Fellows will enjoy special privileges, including access to visiting SAGE Scholars and attendance at regular group meetings to collaborate and share information about the role of psychology, cognitive neuroscience, economics, political science, anthropology, biology, physics, engineering, the arts, philosophy and other disciplines on the study of brain, mind and behavior. To be eligible for the Junior Fellows program, a candidate must have been awarded a doctoral degree or foreign equivalent within the past five years. Proposed research topics must be related to brain-mind interaction. Interdisciplinary approaches are encouraged. We will strive to create a team based on common interests of the top applicants. To apply, please submit: 1. A complete CV, published article and three letters of recommendation 2. A statement of your research interests and a description of how those interests complement the goals of the SAGE Center. For primary consideration, apply by February 1, 2015, although we will accept applications until the positions are filled. Please submit your application at https://recruit.ap.ucsb.edu/apply/JPF00417. Inquiries about your application may be directed to juniorfellows(a)sagecenter.ucsb.edu; include your last name in the subject line of all correspondence. Michael S. Gazzaniga, Ph.D. Director, SAGE Center for the Study of Mind University of California, Santa Barbara http://www.sagecenter.ucsb.edu/ http://www.psych.ucsb.edu/~gazzanig/ The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service. The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or any other characteristic protected by law including protected Veterans and individuals with disabilities. -- John Hajda, Ph.D. Associate Director Sage Center for the Study of the Mind Department of Psychological and Brain Sciences University of California, Santa Barbara Santa Barbara, CA 93106-9660 Phone 805-893-4460 Fax 805-893-3228 hajda(a)sagecenter.ucsb.edu http://www.sagecenter.ucsb.edu/

Dec. 23, 2014

New Brain Computation Paper

by MICHAEL FORREST

A new paper that some may find interesting: Forrest MD (2014) The sodium-potassium pump is an information processing element in brain computation. Frontiers in Physiology. 5:472. doi: 10.3389/fphys.2014.00472 FREELY available at: http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00472/full

Dec. 23, 2014

[Call for applications] *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; 7 PhD scholarships; deadline March 15, 2015

by Robert Martin

[Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2015* Begin of courses: October 2015 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for *7 fellowships* of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/menue/sensory_computation_in_neural…) The *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2015. The *fellowships of 1468 €/month* - with additional children allowances if applicable---will be granted for up to three years. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). ~~~ _For more information_ ... ... come and visit us on our *information day* on January 14, 2015, at 3 PM (sharp) at the BCCN Berlin: https://www.bccn-berlin.de/Calendar/Events/event/?contentId=3667 ... or browse: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms(a)bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/

Dec. 19, 2014

Advanced Scientific Programming in Python Summer School

by Emanuele Olivetti

Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, the Bernstein Center for Computational Neuroscience Munich and the Graduate School of Systemic Neurosciences Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques, incorporating theoretical lectures and practical exercises tailored to the needs of a programming scientist. New skills will be tested in a real programming project: we will team up to develop an entertaining scientific computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python is assumed. Participants without any prior experience with Python should work through the proposed introductory materials before the course. Date and Location ================= August 31—September 5, 2015. Munich, Germany. Preliminary Program =================== Day 0 (Mon Aug 31) — Best Programming Practices • Best Practices for Scientific Computing • Version control with git and how to contribute to Open Source with github • Object-oriented programming & design patterns Day 1 (Tue Sept 1) — Software Carpentry • Test-driven development, unit testing & quality assurance • Debugging, profiling and benchmarking techniques • Advanced Python: generators, decorators, and context managers Day 2 (Wed Sept 2) — Scientific Tools for Python • Advanced NumPy • The Quest for Speed (intro): Interfacing to C with Cython • Contributing to Open Source Software/Programming in teams Day 3 (Thu Sept 3) — The Quest for Speed • Writing parallel applications in Python • Python 3: why should I care • Programming project Day 4 (Fri Sept 4) — Efficient Memory Management • When parallelization does not help: the starving CPUs problem • Programming project Day 5 (Sat Sept 5) — Practical Software Development • Programming project • The Pelita Tournament Every evening we will have the tutors' consultation hour: Tutors will answer your questions and give suggestions for your own projects. Applications ============ You can apply on-line athttps://python.g-node.org Applications must be submitted before 23:59 UTC, March 31, 2015. Notifications of acceptance will be sent by May 1, 2015. No fee is charged but participants should take care of travel, living, and accommodation expenses. Candidates will be selected on the basis of their profile. Places are limited: acceptance rate is usually around 20%. Prerequisites: You are supposed to know the basics of Python to participate in the lectures Preliminary Faculty =================== • Francesc Alted, freelance developer, author of PyTables, Spain • Pietro Berkes, Enthought Inc., UK • Kathryn D. Huff, Department of Nuclear Engineering, University of California - Berkeley, USA • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Stéfan van der Walt, Applied Mathematics, Stellenbosch University, South Africa • Niko Wilbert, TNG Technology Consulting GmbH, Germany • Tiziano Zito, Forschungszentrum Jülich GmbH, Germany Organized by Tiziano Zito (head) and Zbigniew Jędrzejewski-Szmek for the German Neuroinformatics Node of the INCF Germany, Christopher Roppelt for the German Center for Vertigo and Balance Disorders (DSGZ) and the Graduate School of Systemic Neurosciences (GSN) of the Ludwig-Maximilians-Universität Munich Germany, Christoph Hartmann for the Frankfurt Institute for Advanced Studies (FIAS) and International Max Planck Research School (IMPRS) for Neural Circuits, Frankfurt Germany, and Jakob Jordan for the Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre and JARA. Additional funding provided by the Bernstein Center for Computational Neuroscience (BCCN) Munich. Website:https://python.g-node.org Contact:python-info@g-node.org

Dec. 19, 2014

Mathematical post-doc position on the relation of information and causation (Prof. Giulio Tononi)

by albantakis

A postdoctoral position is available at the center for sleep and consciousness science in the laboratory of Dr. Giulio Tononi (University of Wisconsin, Madison), to study the relation of information and causation within the framework of the integrated information theory of consciousness (Balduzzi & Tononi, 2008; Tononi, 2012). Immediate funding is available for a range of projects related to foundational questions regarding the ontological status of information, and its relation to causation, emergence, adaptation, evolution, and consciousness (see detailed scope of work below). The successful candidate will work in the information integration theory group at the center for sleep and consciousness science, which is dedicated to a broad range of research problems focused on two neurobiological problems -- the mechanisms and functions of sleep and the neural substrates of consciousness. Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. We explicitly encourage mathematicians to apply. Experience in information theory, complex systems, and an interest in the philosophy of information/causation are a plus. Programming experience is required (knowledge of MATLAB, Python, and/or C++ is of advantage). Appointments are renewable from year to year for up to 3 years, starting as soon as possible or until the positions are filled. Post-doc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Giulio Tononi, gtononi(a)wisc.edu. Oizumi M, Albantakis L, Tononi G (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. /PLoS Comput Biol/ 10:e1003588 Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal emergence shows that macro can beat micro. /PNAS/, /110/(49), 19790--19795. Tononi G (2012) Integrated Information Theory of Consciousness: An Updated Account. /Arch Ital Biol/ 150:56--90. The scope of work will range from: -theoretical development and computational implementation of the notion of intrinsic causal information -causal analysis, including the systematic use of perturbations, counterfactuals, and irreducibility -analysis of complex systems in terms their causal/informational structure -meaning (understanding and control) from the intrinsic perspective of the system -actual causation (causal explanation) -examining similarities and differences between existing notions of information and causation (Shannon information, algorithmic information,...) -defining emergence in terms of the spatio-temporal grain size at which a system of elements achieves a maximum of causal power -evolutionary/adaptive aspects of information/causation including simulations based on small adaptive neural networks (animats), which evolve and adapt to an environment that requires sensitivity to context for survival -- Larissa Albantakis, PhD Department of Psychiatry University of Wisconsin 6001 Research Park Blvd Madison, WI 53719

Dec. 17, 2014