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

Deep Learning and Continuous Time Computing - Track at SAC 2016 - Call for Papers

by Davide Zambrano

Dear all, Please consider joining our track at SAC2016. Apologies for cross posting. Best regards. ————————————————————————————————————— ACM Symposium on Applied Computing (SAC) 2016 The 31st Annual ACM Symposium on Applied Computing in Pisa, Italy, April 3 – 8, 2016. (webpage : http://www.acm.org/conferences/sac/sac2016/) Deep Learning and Continuous-Time Computing (webpage : http://event.cwi.nl/sac2016/) ————————————————————————————————————— SAC 2016: For the past thirsty years, the ACM Symposium on Applied Computing has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2016 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be hosted by the University of Pisa and Scuola Superiore Sant’Anna University, Italy. Artificial Intelligence (AI) is one of the objectives of Machine Learning: how to create computers capable of intelligent behavior. Deep Learning in artificial neural networks represents a remarkable step toward this direction. Current state-of-the-art AI in the form of deep neural networks has recently demonstrated breakthrough performance in various AI-cognitive tasks, from image and speech recognition to natural language generation and playing ATARI games. However, in real-world applications like video processing or robot control, a deep neural network has then to be updated continuously, causing a high computational load. Specialized acceleration hardware is being developed for deep learning in continuous-time environments. In addition, or alternatively, Spiking Neural Networks (SNNs) represent another possible solution for efficient continuous-time representation and computing in deep neural networks. This Track aims to consolidate the current state-of-the-art in deep learning, continuous-time computing, spiking neural networks and related acceleration hardware tools (such as GPUs, SpiNNaker or Neuromorphic Silicon systems) showing recent and future progresses of this rising and growing research field. ————————————————————————————————————— Topics of interests: Deep learning Continuous-time learning Spiking Neural Networks Asynchronous computation Large scale parallel simulations and computing Neuromorphic computing ————————————————————————————————————— Important Dates are published on the Conference or Track webpages. ————————————————————————————————————— Track Program Committee: Sander Bohte, CWI Amsterdam (NL) (Track Chair — email to s.m.bohte(a)cwi.nl ) Davide Zambrano, CWI Amsterdam (NL) (Track Chair — email to d.zambrano(a)cwi.nl ) Thomas Nowotny, University of Sussex (UK) Steven Furber, University of Manchester (UK) Karl Tuyls, University of Liverpool (UK) Shih-Chii Liu, University of Zurich/ETH Zurich (CH) Robert Babuska, Delft University of Technology (NL) Andre Gruning, University of Surrey (UK) Max Welling, University of Amsterdam (NL) Narayan Srinavasa, HRL Laboratories LLC (USA) Eleni Vasilaki, University of Sheffield (UK) ————————————————————————————————————— Important notice: Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. ————————————————————————————————————— Dr. Davide Zambrano PostDoc at CWI, Amsterdam (NL) MSc in Biomedical Eng. - PhD in Biorobotics D.Zambrano(a)cwi.nl Centrum Wiskunde & Informatica (CWI) Science Park, 123 1098 XG - Amsterdam

June 11, 2015

two postdoctoral positions in recording and statistical analysis of population activity

by Gergo Orban

We are inviting applications for two postdoctoral positions at the Pattern Research Group which is affiliated with the MTA Wigner ResearchCentre for Physics (Budapest, Hungary) and MTA Institute for Experimental Medicine and is sponsored by a prestigious National Brain Research Program grant. 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 for one post in computational/theoretical neuroscience and one in electrophysiology to work on a project that is based on a strong collaboration between neurophysiology and theoretical neuroscience. Details of the two posts can be found below. Postdoctoral fellow in theoretical/computational 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 successful applicant will be co-supervised by Gergő Orbán and András Telcs. Postdoctoral fellow or PhD student in hippocampal electrophysiology The ideal candidate has a strong background in in vitro or in vivo electrophysiology or optical imaging 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 primary task of the candidate will be to set up the equipment and to monitor the activity of large (>100) populations of hippocampal neurons in vitro, and later in head-restrained mice using optical imaging techniques and genetically expressed Ca2+ indicators. Preprocessing and to a given depth the analysis of the rough data also expected. The high-level analysis of the recorded data is performed by the theoretical part of the group (led by András Telcs and Gergő Orbán, MTA Wigner Centre for Physics) but basic knowledge of statistics is essential and previous experience with signal processing or programming (Igor, Python, Matlab or similar language) is advantageous and contribution to that part of the project is expected, based on the load of the experimental part. The applicant will be supervised by Attila Gulyás. The expected starting date of the position is 1 September 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 <http://pattern.wigner.mta.hu/>. For informal inquiries please contact Gergo Orban (orban.gergo(a)wigner.mta.hu <mailto:orban.gergo@wigner.mta.hu>) or Andras Telcs (telcs.szit.bme(a)gmail.com <mailto:telcs.szit.bme@gmail.com>). Please send applications, including CV, a research statement and contact information of two references by email to András Telcs before 30 June.

June 10, 2015

Postdoctoral position on assessing auditory cognition to implement neurofeedback in hearing aids

by Tobias Reichenbach

Applications are invited for a Research Associate to work on project in auditory cognitive neuroscience at Imperial College London. The project is part of an exciting multi-centre effort with the Universities of Southampton and Manchester to employ neurofeedback for building 'smart' hearing aids. The successful candidate will join the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach) The project is further embedded in the Centre for Neurotechnology at Imperial College (http://www3.imperial.ac.uk/neurotechnology <http://www3.imperial.ac.uk/neurotechnology>). The project's goal is to develop experimental paradigms and associated data analytics to predict a person's speech comprehension based on non-invasive electroencephalographic (EEG) measurements of his or her brain activity in response to natural speech. This will employ advanced data analytics to correlate EEG responses to key aspects of speech, such as its envelope. The project will further investigate how these EEG assessments can be employed to fit and adapt the settings of a hearing aid in order to maximize its usefulness for a hearing-impaired person. Applicants should have a PhD (or equivalent) in computing, engineering, neuroscience or physical sciences with experience in signal processing as well as neuroimaging. For an informal discussion please contact Dr Tobias Reichenbach (email: reichenbach(a)imperial.ac.uk <mailto:a.kedgley@imperial.ac.uk>; telephone: +44 (0)20 759 46370). Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment <http://www3.imperial.ac.uk/employment>. (Select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number EN20150202FH. Alternatively, if you are unable to apply online, please email Edit Toth on etoth(a)imperial.ac.uk <mailto:etoth@imperial.ac.uk> to request an application form. The preferred starting date is September 2015. Applications received before the 6th of July 2015 will receive full consideration. ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

June 10, 2015

Postdoctoral position on real-time fMRI brain decoding

by Paolo Avesani

Postdoctoral position: Real-time fMRI brain decoding Applications are invited for a funded Post-Doctoral position at the the Neuroinformatics Laboratory (NILab), a joint initiative of the Center for Mind/Brain Sciences (CIMeC), University of Trento, and the Fondazione Bruno Kessler (FBK), Italy. The position is part of a large grant (2.1 million Euro) awarded by the Autonomous Province of Trento to work on the topic "Characterizing and improving brain mechanisms of attention" (ATTEND). The position will be for an expert in multivariate pattern analysis of fMRI brain data. The activities will include the design, the implementation and the validation of real-time fMRI decoding methods to investigate the human visual attention system. The work will involve the integration of several aspects, including real-time MRI acquisition, multivariate brain decoding methods and adaptive stimulation protocols for visual perception and attention. Candidates should have a degree in Physics, Biomedical Engineering, Computer Science, or a related field with a strong mathematical and computational background. Ideally they should have experience with real-time brain fMRI experiments. The position will be available immediately. Informal inquiries can be addressed to info.nilab(a)fbk.eu. Interested applicants should send a CV, a statement of research interests, and the names and full contact details of two referees at http://hr.fbk.eu/jobs. Usful links: NILab - http://nilab.fbk.eu FBK - http://www.fbk.eu/ CIMeC - http://www.unitn.it/cimec ATTEND - https://www.attendproject.eu/

June 9, 2015

Brain Imaging Faculty Search --Rutgers@Newark

by Stephen José Hanson

The Department of Psychology at Rutgers University-Newark anticipates hiring at the assistant professor (tenure track) level. We seek applications from individuals with specializations in areas of Psychology and Neuroscience that primarily use fMRI as a methodology. Examples of research areas of special interest include social, developmental and cognitive neuroscience. Applicants that incorporatebrain connectivity concepts in their research are encouraged to apply. Applicants will have access to the new Rutgers University Brain Imaging Center (RUBIC; Siemens 3T Trio). This position requires a Ph.D. in Psychology, Neuroscience, or related field. Highest priority will be given to applicants who demonstrate excellence in teaching at the graduate and undergraduate levels, provide research mentorship to students, and have research programs that can be supported by external funding. Applicants should submit a CV, statement of research and teaching interests, 3 top pre/re-prints and 3 letters of recommendation to:facultysearch@psychology.rutgers.edu. We will give priority to applications received by October 15th but will continue the search until the position is filled. Diversity Mission: Rutgers/Newark is the most ethnically diverse research-oriented campus in America (16 consecutive years, US News & World Report). Applicants may include a brief statement in their cover letter explaining how their membership in our department will advance the University commitment to diversity.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status or any other classification protected by law. Rutgers-Newark is an Affirmative Action/Equal Opportunity Employer and actively encourages applications from minorities, women, and other underrepresented groups. Please send queries to me (jose(a)rubic.rutgers.edu) > -- Stephen José Hanson Director RUBIC (Rutgers Brain Imaging Center) Professor of Psychology Member of Cognitive Science Center (NB) Member EE Graduate Program (NB) Member CS Graduate Program (NB) Rutgers University email: jose(a)rubic.rutgers.edu web: psychology.rutgers.edu/~jose lab: www.rumba.rutgers.edu fax: 866-434-7959 voice: 973-353-3313 (RUBIC)

June 9, 2015

Deadline soon! Nominations for Swartz Prize for Theoretical and Computational Neuroscience

by Mark Goldman

Dear Computational Neuroscience Community, We are now nearing the deadline (next week, Wednesday June 17) for soliciting nominations for the Society for Neuroscience's annual Swartz Prize for Theoretical and Computational Neuroscience. The Swartz Prize, supported by the Swartz Foundation, honors an individual whose activities have produced a significant cumulative contribution to theoretical models or computational methods in neuroscience or who has made a particularly noteworthy advance in theoretical or computational neuroscience. Recipients receive a $25,000 prize and complimentary registration, transportation (economy air or ground), and two nights hotel accommodations for the SfN annual meeting, as well as a lecture slot at the Dynamical Neuroscience Satellite Event (sponsored by NIMH). The SfN president presents the prize at a lecture at the SfN annual meeting. How to nominate an individual: *Submit all materials using SfN's award nomination site <http://www.sfn.org/Awards-and-Funding/Individual-Prizes-and-Fellowships/Nom…>, accessible through the Society for Neuroscience webpage:* *http://www.sfn.org/Awards-and-Funding/Individual-Prizes-and-Fellowships/Outstanding-Research-and-Career-Awards/Swartz-Prize-for-Theoretical-and-Computational-Neuroscience * *Please include the following:* * One nomination letter * Maximum of two optional letters of recommendation (one letter must include a summary of past, present, and future research, maximum of two pages) * Current CV * A list of publications and abstracts authored or co-authored by the nominee Best regards, Mark Goldman

June 9, 2015

post-doc position: information and its relation to causation, emergence, adaptation, evolution, and consciousness (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 (Oizumi, Albantakis, Tononi 2014; Scholarpedia: Integrated Information Theory; see http://templeton.3bweb.com/projects/integrated-information-maximally-irredu… for a project description). 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. The successful candidate will work in the information integration theory group (http://integratedinformationtheory.org/) 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. Tononi G (2015) Integrated Information Theory. /Scholarpedia/. Albantakis L, Hintze A, Koch C, Adami C, Tononi G (2014) Evoluation of Integrated Causal Structures in Animats Exposed to Environments of Increasing Complexity. /PLoS Comput Biol/ 10(12):e1003966 Oizumi M, Albantakis L, Tononi G (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. /PLoS Comput Biol/ 10(5):e1003588 Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal emergence shows that macro can beat micro. /PNAS/, /110/(49), 19790–19795. 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

June 5, 2015

Cajal Advanced Neuroscience Training Course: Bioinformatics for the neuroscientist

by Padraig Gleeson

Dear colleagues, Announcing a new neuroscience summer course - “Bioinformatics for the Neuroscientist”. This course is part of the CAJAL Advanced Neuroscience Training Programme sponsored by FENS and IBRO and hosted at the Bordeaux School of Neuroscience in Bordeaux, France. The Cajal Advanced Neuroscience Training “Bioinformatics for the Neuroscientist” will provide students with a practical knowledge of state of the art bioinformatics and modelling methods used to understand the molecular and cellular basis of neuronal function and pathologies. The course will feature introductory lectures about theory and tools, practical hands on sessions, and scientific seminars illustrating how bioinformatics answered specific neurobiological questions. We will cover genomics, epigenetics, functional genomics, biological pathways and models of biochemistry and electrophysiology of single neurons. Date and Location: 21 September – 2 October 2015 Bordeaux, France Course Directors: Nicolas Le Novère (Babraham Institute, UK) Marie-Claude Potier (CNRS-Inserm-UPMC, France) Macha Nikolski (University of Bordeaux, France) - On-site chair Faculty: Julio Banga (Instituto Investigationes Marinas, Spain) Aurélien Barré (Centre Bordelais de Bioinformatique, France) Sven Bergmann (University of Lausanne, Switzerland) Sandrine Caburet (Institut Jacques Monod, France) Claudine Chaouiya (Gulbenkian Insitute of science, Portugual) Benjamin Dartigues (Centre Bordelais de Bioinformatique, France) Laura Furlong (Pompeu Fabra University, Spain) Padraig Gleeson (UCL, UK) Pierre de la Grange (Genosplice, France) Justine Guégan (Institut du Cerveau et de la moëlle) Christophe Junot (CEA, France) Olivier Kirsh (Université Paris Diderot, France) Frédéric Lemoine (Institut du Cerveau et de la moëlle) Ivan Moszer (Institut du Cerveau et de la moëlle) Hayssam Soueidan (Centre Bordelais de Bioinformatique, France) Raluca Uricaru (Centre Bordelais de Bioinformatique, France) Reiner Veitia (Institut Jacques Monod, France) Alejandro Villaverde (Instituto Investigationes Marinas, Spain) Applications: http://www.fens.org/Training/CAJAL-programme/CAJAL-Trainign-Courses-in-2015…. *The application deadline is 12th June.* More information about the CAJAL Training programme: www.fens.org/Training/CAJAL-programme/ ----------------------------------------------------- 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 -----------------------------------------------------

June 5, 2015

BIOPHYSICS OF CONSCIOUSNESS

by Roman Poznanski

BEYOND THE FRONTIERS OF ARTIFICIAL CONSCIOUSNESS, 450pp , 25 color plates Pre-order your copy now ! http://www.amazon.com/Biophysics-Consciousness-A-Foundational-Approach/dp/9… The problem of how the brain produces consciousness, subjectivity and "something it is like to be" remains one of the greatest challenges to a complete science of the natural world. While various scientists and philosophers approach the problem from their own unique perspectives and in the terms of their own respective fields, Biophysics of Consciousness: A Foundational Approach attempts a consilience across disparate disciplines to explain how it is possible that an objective brain produces subjective experience. This volume unites the crème de la crème of physicists, neuroscientists, and psychiatrists in the attempt to understand consciousness through a foundational approach encompassing ontological, evolutionary, neurobiological, and Freudian interpretations with the focus on conscious phenomena occurring in the brain. By integrating the perspectives of these diverse disciplines with the latest research and theories on the biophysics of the brain, the book tries to explain how consciousness can be an adaptive and causal element in the natural world. Contents: •Preface •Foreword (Searle) •List of Contributors •Neurobiological Naturalism (Feinberg and Mallatt) •The Evolutionary Origins of Consciousness (Feinberg and Mallatt) •How Language Evolution Reshaped Human Consciousness (Arbib) •Consciousness by Surprise: A Neuropsychoanalytic Approach to the Hard Problem (Solms) •Can Qualitative Biophysics Solve the Hard Problem? (Pereira Jr. et al.) •The Causal Roots of Mental and Neural Integration (Manzotti and Chella) •The Two-Brains Hypothesis: Implications for Consciousness (Bercovich et al.) •On the Brain's Electromagnetic Field System as the Origin of Consciousness (Hales) •The Neurophenomenology of Consciousness (Poznanski et al.) •The Holoinformational Foundations of Consciousness (Di Biase) •Neural Transition Dynamics and Conscious Perceptive States (Bernroider) •The 'Quantum Underground': Where Life and Consciousness Originate (Craddock et al.) •Quantum Spin Formalism on Consciousness (Hu and Wu) •Consciousness in the Universe — A Review of the Orch OR Theory (Hameroff and Penrose) •Index Readership: Researchers in neuroscience, cognitive science, psychology, biophysics and quantum physics investigating conscious phenomena occurring in the brain ------- Roman R. Poznanski Professor Laboratory of Biological Modeling The Rockefeller University 1230 York Avenue New York, NY 10065-6399 Office: (212) 327-7646 E-mail: rpoznanski(a)rockefeller.edu http://romanpoznanski.blogspot.com and Chief-Editor, Journal of Integrative Neuroscience http://www.worldscinet.com/jin/mkt/editorial.shtml

June 5, 2015

PhD/Postdoc vacancies in computational modeling in neuroscience

by Marcel van Gerven

Our lab (www.ccnlab.net <http://www.ccnlab.net/>) recently received funding for a PhD and postdoc position at the interface between machine learning (deep learning, Bayesian modeling, computational linguistics) and neuroscience: http://www.ru.nl/english/working/job-opportunities/details/details-vacature… <http://www.ru.nl/english/working/job-opportunities/details/details-vacature…> http://www.ru.nl/english/working/job-opportunities/details/details-vacature… <http://www.ru.nl/english/working/job-opportunities/details/details-vacature…> The positions deal with the development of new computational models to probe how naturalistic representations are encoded across the cortical surface. For the PhD position, we are looking for candidates with a Master’s degree in cognitive (neuro)science, computational neuroscience or a related area of research. Candidates should have excellent programming skills, a strong mathematical background and prior experience with acquisition of neural data. For the postdoc position, we are looking for candidates with a PhD degree in machine learning, artificial intelligence, computational neuroscience, applied mathematics or a related area of research. Candidates with a degree in cognitive neuroscience and a strong mathematical background would also be eligible. Start of the project is negotiable but preferably September 2015.

June 5, 2015