April 2017 - Comp-neuro - lists.cnsorg.org

CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu 18 Oct '18

18 Oct '18

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.info/). Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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postdoc position in sleep and circadian rhythms modelling
by Svetlana Postnova 29 Apr '17

29 Apr '17

*Postdoctoral Research Associate in Neurophysics of Sleep-Wake Dynamics and Circadian Rhythms* *School of Physics Reference no. 721/0417* *The position focuses on studying sleep-wake and circadian dynamics phenomena in the brain using mechanism-based modelling approaches and experimental data across various dynamical scales: from neurons to behavior* *Full-time, fixed term for 2 years with the possibility of extension to 3 years, subject to performance, funding, and need * *Remuneration package: $104k-112k AUD pro rata p.a. which includes leave loading and up to 17% superannuation* *About the opportunity * Applications are sought for Postdoctoral Research Associate (Level A) in the School of Physics in the Complex Systems Group led by Professor Peter Robinson. The group is involved in a number of interdisciplinary research centres, including the NHMRC Centre of Excellence for Translational Sleep and Circadian Neurobiology (NeuroSleep), the ARC Centre of Excellence for Integrative Brain Function (CIBF), and the Cooperative Research Centre for Alertness, Safety, and Productivity, as well as numerous national and international collaborations. *About you* The successful applicant will work with a team of researchers on a variety of sleep-wake and circadian-related projects that underpin a wider program of sleep-wake and circadian research, including understanding and modelling of the relevant neurobiological mechanisms during normal sleep-wake cycles, circadian misalignment (e.g. jetlag), and sleep restriction, as well as prediction of dynamics in real-world conditions. To be successful in this position you should have following: - undergraduate major in physics, applied mathematics, or similar field - theoretical/computational PhD in physics, computational neuroscience, biological modelling, applied mathematics, engineering, or allied field; thesis must have at least been submitted for examination by the time of interview for this position (approximately 3 weeks after closing date). - experience in physiologically-based modelling of biological systems (as opposed to or in addition to signal analysis and statistical modelling). - demonstrated ability to program in Matlab , C++, or Python - proved research ability and evidence of self-motivation and research potential, including the ability to conduct research activities under limited supervision - publications in refereed journals *Desirable criteria also apply * *About us* Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across 9 campuses, we employ over 7600 academic and non-academic staff who support over 47,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us. The position is full-time fixed term for two years, subject to the completion of a satisfactory probation period for new appointees with the possibility of extension to three years, subject to performance, funding, and need. *All applications must be submitted via the University of Sydney careers website.* Visit sydney.edu.au/recruitment and search by the reference number for more information and to apply. *Closing date:* 11:30pm 18 May 2017 (Sydney Time) We are committed to diversity and social inclusion. We welcome applications from women (particularly for senior and non-traditional roles), Aboriginal and Torres Strait Islander people, people with a disability, people who identify as LGBTIQ, and people from culturally and linguistically diverse backgrounds. *©* The University of Sydney The University reserves the right not to proceed with any appointment. -- Dr Svetlana Postnova CRC for Alertness Safety and Productivity & Complex Systems Group School of Physics, University of Sydney room 438, Madsen F09, NSW 2006, Australia Phone: +61 2 9036 7971

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[ANN] 10ᵀᴴ Advanced Scientific Programming in Python in Nikiti, Greece, August 28—September 2, 2017
by Jakob Jordan 28 Apr '17

28 Apr '17

10ᵀᴴ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the Municipality of Sithonia 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 and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquiredirect hands-on experience with the materials. Students will work in pairsthroughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining 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 and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 31, 2017. There will be no deadline extension, so be sure to apply on time ;-) Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Date & Location =============== August 28—September 2, 2017. Nikiti, Sithonia, Halkidiki, Greece Program ======= → Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization → Software Carpentry • Test-driven development • Debugging with a debuggger • Profiling code → Scientific Tools for Python • Advanced NumPy → Advanced Python • Decorators • Context managers • Generators → The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data → Practical Software Development • Group project Preliminary Faculty =================== • Francesc Alted, freelance consultant, author of Blosc, Castelló de la Plana, Spain • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George MasonUniversity, Fairfax, VA USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux, France • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UCBerkeley, CA USA • Nelle Varoquaux, Berkeley Institute for Data Science, UC Berkeley, CA USA • Tiziano Zito, freelance consultant, Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Berlin, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George MasonUniversity, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Funded PhD Position at Istituto Italiano di Tecnologia, Genova (IT) - Cellular mechanisms of perception
by Valentina Pasquale 28 Apr '17

28 Apr '17

Funded PhD Position at Istituto Italiano di Tecnologia, Genova (IT) - Cellular mechanisms of perception Applications are invited for a 3-year PhD studentship in Neuroscience within the "Optical Approaches to Brain Function" laboratory (https://www.iit.it/lines/optical-approaches-to-brain-function), led by Tommaso Fellin and located at IIT in Genova (Italy). PhD Courses are established in agreement with Università degli Studi di Genova and financially supported by IIT. Project summary: The PhD project is entitled "Cellular mechanisms of perception" and focuses on the cellular mechanisms underlying the coding of sensory information in the mouse cortex. To tackle this question, experimental approaches including two-photon functional imaging, patch-clamp recordings and optogenetic manipulations will be coupled with advanced analytical approaches. For the positions we look for candidates with a M.Sc. degree in biology, physics, bioengineering or computer science with propensity for interdisciplinary research. Applicants should have strong interest in both physiological approaches to monitor/manipulate cortical microcircuits and mathematical methods to describe and model neural networks. Interested candidates are invited to contact Prof. Tommaso Fellin (tommaso.fellin(a)iit.it<mailto:tommaso.fellin@iit.it>) by emailing their CV and briefly explaining their interest in this position. Application process: In order to formally apply to the PhD Position, all applicants must refer to the University web site (https://www.studenti.unige.it/postlaurea/dottorati/XXXIII) for the procedures necessary to apply. Deadline for formal application is June 13th, 2017. For further information, please see https://www.iit.it/phd-school. About IIT: Fondazione Istituto Italiano di Tecnologia (www.iit.it<http://www.iit.it>) is a private Foundation with the objective of promoting Italy's technological development and higher education in science and technology. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova and a network of 10 state-of-the-art laboratories countrywide with an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. Regards Tommaso Fellin

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Welcome to Neuroinformatics 2017 in Kuala Lumpur
by Louise Erixon 28 Apr '17

28 Apr '17

Dear all, The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* <http://neuroinformatics2017.org/> The deadline for abstract submissions for Neuroinformatics 2017 is approaching, you can read more and submit your abstract by* April 30* here:* http://neuroinformatics2017.org/abstracts/ <http://neuroinformatics2017.org/abstracts/>* Registration for Neuroinformatics 2017 is open and early bird registration fees are available until *July 2*, find out more: *http://neuroinformatics2017.org/register/ <http://neuroinformatics2017.org/register/>* INCF is calling for community proposals for Special Interest Group meetings to be held on August 22, the day after the Congress. INCF is looking to broaden community engagement through the creation of Special Interest Groups (SIGs) which are suggested and led by the community. Read more about SIGs here: *https://www.incf.org/collaborate/incf-special-interest-groups* <https://www.incf.org/collaborate/incf-special-interest-groups> Please spread this information to anyone you feel would be interested in attending. *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Kuala Lumpur!* Best Regards INCF Secretariat

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BBP - Postdoctoral Position in Molecular Neuron and Synapse Modeling
by Daniel Keller 27 Apr '17

27 Apr '17

BBP - Postdoctoral Position in Molecular Neuron and Synapse Modeling A post-doctoral position in modeling of molecular synapses and neurons is available at the Blue Brain Project at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (www.epfl.ch). The Blue Brain Project, based in Geneva, Switzerland, performs large-scale simulations of the brain. The position entails development of methods and systems to perform multi-scale modeling and integrate knowledge of signaling pathways to create models of plasticity, transmission, and regulation. The ideal candidate will have a Ph.D. in computational neuroscience or related field. Experience in modeling of molecular plasticity, biochemical signaling cascades, and reaction-diffusion modeling is desired. Strong biology and mathematical background, as well as coding competence in Python, C++, and NEURON are essential. We are looking for highly motivated individuals to work as members of a highly multidisciplinary group working at the interface of neuroscience, physics and computer science with good writing, collaboration, and communication skills. Selected candidates will join a prestigious project that is pioneering simulation neuroscience research, composed of a young, dynamic, interdisciplinary, and international team. We offer a state-of-the-art working environment based at the Biotech Campus in Geneva ( http://www.campusbiotech.ch/en/ ) with access to cutting edge simulation, informatics and computing facilities. Interested applicants should submit a cover letter and a detailed CV in PDF format only, with file name “Surname_position _Cover Letter” and “Surname_positon _CV” electronically to jobs.bbp(a)epfl.ch Please use the reference of the position title in the “object” field.

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Postdoc in neuromorphic pattern recognition at U Herts
by Schmuker, Michael 26 Apr '17

26 Apr '17

* Postdoc in neuromorphic pattern recognition * Applications are invited for a postdoc position in the Biocomputation group, School of Computer Science, at the University of Hertfordshire, UK. The appointment is due to start as soon as possible, with an initial fixed duration until 31st March 2018, with a possibility to extend, pending funding decisions. The successful candidate will join our efforts to advance neuromorphic pattern recognition on the SpiNNaker and BrainScaleS hardware systems that are built within the Human Brain Project (HBP). We are looking for a candidate with a keen tenacity in pushing forward the boundaries of future computing off the well-trodden path. The Biocomputation group provides a rich and inspiring interdisciplinary research environment that connects Computer Science with Neuroscience and branches out into Machine Learning and Robotics. HBP membership provides excellent opportunities to connect to world-leading scientists in all aspects of neuroscience, high-performance computing, neurorobotics and neuromorphic engineering. We enjoy first-class access to the latest neuromorphic technologies developed in HBP, and we work in tight interaction with the groups developing the hardware systems, SpiNNaker and BrainScaleS. Research in Computer Science at the University of Hertfordshire has been recognized as excellent in the REF 2014, with 50% of the research submitted rated as internationally excellent or world leading. The University is situated in Hatfield, in the green belt just north of London. Candidates should have a PhD in neuromorphic computing, machine learning, computational neuroscience, computer science, physics or another relevant subject area. In addition, the successful candidate should have demonstrable experience in either: - Machine learning and pattern recognition, ideally deep and recurrent neural networks, self-organisation, or - Neuromorphic computing, ideally with hands-on experience with SpiNNaker, BrainScaleS, or other neuromorphic hardware systems, or GPU-accelerated simulations. Further desired skills: - Ability to conduct original research, as evidenced by high-quality, peer-reviewed papers, - Excellent programming skills, as evidenced e.g. by a link to a github account that shows work on relevant projects, - Ability to work and communicate in a multidisciplinary team. Informal inquiries about this post are warmly welcome and should be directed to Dr Michael Schmuker, m.schmuker(a)herts.ac.uk . Please apply online via http://www.jobs.herts.ac.uk , vacancy reference 014592, until 22nd May, 2017 at the latest. — Dr Michael Schmuker Senior Lecturer in Computer Science University of Hertfordshire http://biomachinelearning.net

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Job Opening in Singapore Institute for Neurotechnology
by Tasos_UPatras 26 Apr '17

26 Apr '17

JOB OPENINGS In the framework of SINAPSE II (http://www.sinapseinstitute.org/ <http://www.sinapseinstitute.org/>) , the Cognitive Engineering team will be launching new projects and several new job positions will be opened. We are inviting researchers of any level with training and previous research experience in Neuroengineering, Computer Sciences and Experimental Psychology/Neuroscience to apply. Positions are available for Research Engineers and Scientist, Research Fellows. Those who are interested can send their CV with a motivation letter to Prof. Tassos Bezerianos (email address tassos.bezerianos(a)nus.edu.sg <mailto:tassos.bezerianos@nus.edu.sg>). Below the framework of the research era Job Description EEG signals, behavioural data, physiological data (e.g., heart rate, GSR) and facial expression will be collected from participants while they are undertaking computerized tasks and/or virtual-reality games that of real-world complexity. Complex network models and advanced brain connectivity methodology will be applied for biomarkers extraction. Machine learning algorithms will be used to extract and model relevant features from the multimodal data to arrive at an objective and accurate assessment of performance (i.e., individual continuous training portfolio). The next generation training system will be a closed loop, representing learning that takes place continuously both ways between the computer system and the user. Research Skills • Neuroergonomics/ Experimental Psychology training protocols and programing (e.g., E-prime, PsychoPy) • Past experience of multimodal Electrophysiological Signals (e.g., EEG, EMG, HRV and GSR) Processing and Analysis • Mapping and Analysis of Brain Networks Connectivity • Machine Learning Algorithms to understand brain electrophysiological data • Computational Intelligence and Neural Networks Algorithms in Cognitive Neuroscience and Neuroergonomics • Deep Learning Algorithms with applications in Human Machine Interactions Best regards Tassos Anastasios Bezerianos, BS,MS,PhD prof. University of Patras, Greece visit. prof. NUS, Singapore visit. prof. UNSW, Canberra, Australia

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Postdoctoral / Research Specialist position in Computational Anatomy
by Reiser, Michael 25 Apr '17

25 Apr '17

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Workshop on New Directions in Motor Control, Emory University, Atlanta, Georgia, May 18-19, 2017
by Nemenman, Ilya 25 Apr '17

25 Apr '17

Dear Colleagues, We would like to announce a workshop on “New Directions in Motor Control", which will take place at Emory University (Atlanta, GA) on May 18-19, 2017. Speakers will discuss their work exploring how the nervous system controls complex behaviors, with emphasis on how the brain employs sensory information to guide motor action and how patterns of motor activity are organized in space and time. The workshop will include both formal presentations and small-group tutorials on advanced methods for analyzing neural and behavioral data. It will emphasize the importance of collaborative interactions between neurophysiologists on the one hand and theorists and modelers on the other. Workshop website: http://www.physics.emory.edu/home/new-directions-in-motor-control/ Registration (by May 4): http://www.physics.emory.edu/home/new-directions-in-motor-control/register.… Lodging (by Apr 26): http://www.physics.emory.edu/home/new-directions-in-motor-control/lodging.h… The list of confirmed speakers includes: (External Speakers) Dr. Michael Brecht, Bernstein Center for Computational Neuroscience, Berlin Dr. Nicholas Hatsopoulos, University of Chicago Dr. Mackenzie Mathis, Harvard University Dr. Leslie Osborne, University of Chicago Dr. Carl Petersen, EPFL Lausanne Dr. Jennifer Raymond, Stanford University Dr. Reza Shadmehr, Johns Hopkins University (Atlanta-area Speakers) Dr. Don Edwards, Georgia State University Dr. David Hofmann, Emory University Dr. Dieter Jaeger, Emory University Dr. Ilya Nemenman, Emory University Dr. Chethan Pandarinath, Emory University/Georgia Tech Dr. Sam Sober, Emory University Dr. Simon Sponberg, Georgia Tech Dr. Lena Ting. Emory University/Georgia Tech Hand-on tutorials will include: Information theoretic analysis of neural spike trains, Dr. Ilya Nemenman, Emory University Application of generalized linear models to spike trains, Dr. David Hofmann, Emory University Beyond Spikes: Insights from local field potential recordings in electrode array data, Dr. Audrey Sederberg, Georgia Tech Quantitative behavioral analysis using dimensionality reduction, Dr. Gordon Berman, Emory University Sincerely, The Organizers Sam Sober, Simon Sponberg, David Hofman ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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