- Comp-neuro - lists.cnsorg.org

Interdisciplinary post-doctoral position in cognitive neuroscience

by Schurger Lab

Brain-behavior forecasting: Neural antecedents of spontaneous self-initiated movement and the forecasting of behavior from brain activity Interdisciplinary post-doctoral position in cognitive neuroscience Starting date: Fall 2016 Duration: 2 years (renewable for one additional year) The French Institute of Health and Medical Research (INSERM) invites applications for a post-doctoral position in the Cognitive Neuroimaging Group, at the NeuroSpin Research Center near Paris, France, as part of the research team of Dr. Aaron Schurger. The Schurger lab focuses on understanding how decisions are made and actions initiated spontaneously, without an external sensory cue, and how time series of neural activity (now) can be used to forecast behavior (seconds or minutes from now). We pursue this research using a combination of behavioral experiments, neuroimaging, computational modeling, time-series analyses, and machine learning techniques. We are particularly interested in attracting applicants from meteorology, macroeconomics, machine learning, statistics and other disciplines that involve a mastery of time series analysis, statistical learning, forecasting, and/or forecast verification. Applicants should have a obtained a PhD in a relevant discipline prior to the starting date, and should have strong skills in at least some of the following areas: computer programming (MatLab, Python, C, C++), statistics, signal processing, computational, mathematical, and/or neural network modeling, statistical learning / machine learning / mutivariate pattern classification, time series analysis, forecasting. Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners; high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for the simultaneous recording of EEG); eye tracking (available for MRI, MEG, and behavioral experiments); an in-house team of experts in signal processing and statistical learning; a dedicated staff handling subject recruitment, scheduling, and payment; various Nespresso devices; and proximity to Paris. Applicants should send a CV, letter of motivation (max 2 pages), and a list of three references via e-mail to aaron.schurger(a)gmail.com. Review of applicants will begin immediately, and will continue until the positions are filled. The NeuroSpin Research Center is located on the campus of the CEA-Saclay, near Orsay, about 18 km southwest of Paris. For more information on the NeuroSpin Research Center and the Cognitive Neuroimaging Group: http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/de… http://www.unicog.org/pm/pmwiki.php -----------------------------------------------------------------------------

Jan. 18, 2016

DENDRITES 2016, June 18-21, Crete: CALL FOR ABSTRACTS

by Yiota Poirazi

Dear Colleagues, You are kindly invited to attend the EMBO Workshop on Dendritic Anatomy, Molecules and Function (DENDRITES 2016) in Crete. Dendrites provide the substrate for inter-neuronal communication, and their nonlinear properties play a key role in information processing. Following a very successful meeting in 2014, Dendrites 2016 aims to bring together scientists from around the world to present their research on dendrites, ranging from the molecular to the anatomical and biophysical levels. With the backdrop of an informal yet spectacular setting on Crete, the meeting has been carefully planned not only to satisfy our scientific curiosity but also to foster discussion and encourage interaction between attendees well beyond traditional presentations. In this spirit, the workshop will also provide a soft skills day for the training of young researchers in subjects such as scientific writing/publication issues, fundraising and gender balance. Abstract submission for poster and oral presentation is open until *February 15, 2016*** On behalf of the organizing committee, Yiota Poirazi ------------------------------------------------------- EMBO Workshop on Dendritic Anatomy, Molecules and Function (DENDRITES 2016) Heraklion, Crete, Greece June 18-21, 2016 http://dendrites2016.gr/ <http://www.dendrites2016.gr/> _Invited speakers (scientific talks): _ Claudia Clopath Daniel Dombeck Casper Hoogenraad Arthur Konnerth Attila Losonczy Judit Makara Rishikesh Narayanan Elly Nedivi Jackie Schiller Erin Schuman Idan Segev Nelson Spruston Greg Stuart _Invited speakers (Career Issues in academia):_ Monica Di Luca, FENS President: "Publication issues: right time for a reality check" Camilla Belone, FENS-Kavli Scholar: "Retention of women in high levels of neuroscience - Perspectives" Emre Yaksi, FENS-Kavli Scholar: "Funding opportunities in Neuroscience: how to write a successful grant proposal" Matthew Larkum: "How to write an influential scientific publication" *CALL FOR ABSTRACTS* We are soliciting abstracts for oral and poster presentations. We welcome both experimental and theoretical contributions addressing novel findings, methods or databases related to dendrites that fall into one or more of the following domains: * morphological and functional characterizations, * dendritic integration and compartmentalization, * dendritic channel distribution and their functional implications, * molecular pathways and signaling networks, * RNA trafficking and local protein synthesis, * functional or structural plasticity and homeostasis, * the role of dendrites in complex processes, including learning/memory, neural computations etc. Please note that places are limited and subject to availability. Attendees are highly encouraged to submit abstracts for presentations, since presenters will be given priority for registration. Instructions for on-line submission can be found at http://www.dendrites2016.gr/call-for-papers *Important dates * * Abstract submission opens: December 15th, 2016 * Abstract submission closes: February 15th, 2016 * Notification of abstract acceptance: February 29th, 2016 * Notification of oral/poster presentation: early March 2016 _Organizing committee:_ Yiota Poirazi, IMBB-FORTH Michael Hausser, UCL * * Matthew Larkum, Humboldt University IMPORTANT NOTE: The Workshop takes place on the island of Crete and is followed by the AREADNE 2016 meeting <http://areadne.org/> (June 22-26th, 2016), focusing on Research in Encoding And Decoding of Neural Ensembles, on the neighboring island of Sandorini. DENDRITES 2016 participants are encouraged to consider attending both meetings. FOR FURTHER INFORMATION Please see the conference web site http://dendrites2016.gr/ or send an email to info(a)dendrites2016.gr <mailto:info@dendrites.gr> -- Panayiota Poirazi, Ph.D. Director of Research Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385 GR 711 10 Heraklion, Crete, GREECE Tel: +30 2810 391139 <tel:+30%202810%20391139> Fax: +30 2810 391101 <tel:+30%202810%20391101> Εmail: poirazi(a)imbb.forth.gr <mailto:poirazi@imbb.forth.gr> http://www.dendrites.gr Chair http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/

Jan. 18, 2016

[INNS-BigData 2016] Call for Papers

by Teng Teck Hou

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 2nd INNS Conference on Big Data 2016 October 23-25, 2016, Thessaloniki, Greece http://conferences.cwa.gr/inns-big-data2016/ ########################################################### Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can't easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. This type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used on stored big data. Neural network technologies thus can become significant components of big data analytics platforms and this second edition of INNS Conference on Big Data will continue on this collaborative adventure with big data and other learning technologies. Thus the aim of this 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). #################### Important dates ##################### - Tutorial and workshops proposals: February 15th, 2016 - Notification of tutorial and workshops proposals: February 20th, 2016 - Paper submission: April 30th, 2016 - Notification of paper acceptance: May 30th, 2016 - Camera-ready submission (AISC): June 11th, 2016 - Early registration: June 20th, 2016 Registration deadline: papers without confirmed registration by June 24th 2016 risk their inclusion in the proceedings ########################################################## #################### Invited speakers #################### - Francesco Bonchi, ISI Foundation, Torino, Italy - Stephen Furber, University of Manchester, UK - Rudolf Kruse, OVG University of Magdeburg, Germany - Piotr Mirowski, Google Deep Mind, London, UK ########################################################## #################### Organizing committees ############### General Chairs - Plamen Angelov, Lancaster University, UK - Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece Program Chairs - Lazaros Iliadis, Democritus University of Thrace, Greece - Asim Roy, Arizona State University, Tempe USA - Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil Advisory Board - Nikola Kasabov, Auckland University of Technology, New Zealand - Ali Minai, University of Cincinnati, USA - Danil Prokhorov, Toyota Tech Center, Michigan, USA - Theodore Trafalis University of Oklahoma, USA - G. Kumar Venayagamoorthy, Clemson University, USA Tutorials/Workshop Chairs - Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece - Bernardete Ribeiro, Portugal Poster Session Chairs - Yi Lu Murphey, University of Michigan-Dearborn, USA Special Sessions Chairs - Irwin King, Chinese University of Hong Kong, China - Luca Oneto, University of Genoa, Italy Panel Chairs - Leonid Perlovsky, Harvard University, Boston, USA Awards Chair - Araceli Sanchis de Miguel, Carlos III University, Spain Competitions Chairs - Adel Alimi, University of Sfax, Tunisia Publication Chairs - Mariette Awad, American University of Beirut, Lebanon - Danilo Mandic, Imperial College, London, UK Publicity Chairs - Jose Antonio Iglesias Martinez, Carlos III University of Madrid, Spain - Simone Scardapane, The Sapienza University of Rome, Italy - Teck Hou Teng, Singapore Management University, Singapore International Liaison Chairs - Petia Georgieva, University of Aveiro, Portugal - De-Shuang Huang, Tongji University, Shanghai, China Local Organizing Committee: - Anastasios Gounaris, Aristotle University of Thessaloniki, Greece WebMaster - Yannis Karydis, Ionian University, Greece ########################################################## ############# Paper Submission and Publication ########### * Original works submitted as a regular paper limited to a maximum of 14 pages in Springer format will be published in the proceedings to be available electronically as a Springer book in ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Series, to download for delegates. * It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. * At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. ########################################################## #################### Awards ############################## * Best papers will be selected and awarded as follows: - Best regular paper - Best student paper * This will be based on a combination of reviewers' comments, presentations and importance and quality judged by a panel. * Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be commemorated by a certificate. ########################################################## ###### Topics and Areas include, but not limited to ###### * Autonomous, online, incremental learning - theory, algorithms and applications in big data * High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data * Scalable algorithms for big data * Learning algorithms for high-velocity streaming data * Big data streams analytics * Deep neural network learning * Machine vision and big data * Brain-machine interfaces and big data * Cognitive modeling and big data * Embodied robotics and big data * Fuzzy systems and big data * Evolutionary systems and big data * Evolving systems for big data analytics * Neuromorphic hardware for scalable machine learning * Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.) * Big data and collective intelligence/collaborative learning * Big data and hybrid systems * Big data and self-aware systems * Big Data and infrastructure * Big data analytics and healthcare/medical applications * Big data analytics and energy systems/smart grids * Big data analytics and transportation systems * Big data analytics in large sensor networks * Big data and machine learning in computational biology, bioinformatics * Recommendation systems/collaborative filtering for big data * Big data visualization * Online multimedia/ stream/ text analytics * Link and graph mining * Big data and cloud computing, large scale stream processing on the cloud ########################################################## #################### Co-Sponsors ######################### * International Neural Network Society (INNS) * Springer ##########################################################

Jan. 17, 2016

Postdoctoral position in analyzing and modeling dendritic morphology and growth

by Erik De Schutter

Postdoctoral researcher and staff scientist positions are available in the Computational Neuroscience Unit <https://groups.oist.jp/cnu> of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University <http://www.oist.jp/>, Japan. We are looking for a postdoc with a (computational) neuroscience background to study the morphology and growth of neuronal dendrites in the olivocerebellar system. We investigate this from the perspective of neuron populations and consider the relations between neighboring dendrites explicitly (Context-aware modeling of neuronal morphologies <http://journal.frontiersin.org/article/10.3389/fnana.2014.00092/abstract>). Experience required in either (semi-automated) reconstruction of neural structures or in analysis and modeling of neural morphology. Depending on experience and interest the focus of the research can be analysis of in vivo and EM data and/or modeling the growth of forests of dendrites. You will collaborate with scientists at OIST and abroad in addition to the daily interaction with other researchers and students in the lab who are working on cerebellar modeling projects, analyzing cerebellar recordings or developing software. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on the beautiful subtropical island of Okinawa. Send curriculum vitae, a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp <mailto:erik@oist.jp> Prof. Erik De Schutter Computational Neuroscience Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna-Son Okinawa 904-0495 JAPAN phone: +81-98-966-8727 fax: +81-98-966-8718 erik(a)oist.jp <mailto:erik@oist.jp> http://groups.oist.jp/cnu <http://groups.oist.jp/cnu>

Jan. 15, 2016

Postdoctoral postion in development of model description languages

by Erik De Schutter

Postdoctoral researcher or staff scientist positions are available in the Computational Neuroscience Unit <https://groups.oist.jp/cnu> of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University <http://www.oist.jp/>, Japan. We are looking for a postdoc with a computer science or engineering background who is interested in the development of XML-based methods for model description and simulation. You will collaborate with international colleagues on further development of NIneML (http://nineml.net) and deploy it within the research group, possibly also use it for your own network modeling research. Previous experience related to collaborative projects in computational neuroscience or systems biology preferred. You will interact with other researchers and students in the lab who are working on cerebellar modeling projects or analyzing cerebellar recordings. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on the beautiful subtropical island Okinawa. Send curriculum vitae, a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp <mailto:erik@oist.jp> Prof. Erik De Schutter Computational Neuroscience Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna-Son Okinawa 904-0495 JAPAN phone: +81-98-966-8727 fax: +81-98-966-8718 erik(a)oist.jp <mailto:erik@oist.jp> http://groups.oist.jp/cnu <http://groups.oist.jp/cnu>

Jan. 15, 2016

Funding for M.Sc and Ph.D Research Visits in Berkeley for Germans - Integrating Deep Learning and Knowledge Representation

by Manfred Eppe

Dear Community, The German Academic Exchange Service (DAAD) offers the very attractive 'FITweltweit' program to support German Computer Science and Informatics students who want to carry out M.Sc or Ph.D research abroad, for a period of 1 to 6 months. The AI group of the International Computer Science Institute (ICSI) at Berkeley is currently investigating the integration of deep neuronal Machine Learning and Knowledge Representation and Reasoning. Towards this, we are looking for motivated and skilled students who plan to write their thesis in this area, and who are interested in collecting experience in the wonderful city of Berkeley, California, near Silicon Valley in the San Francisco bay area. For details about eligibility and the program in general please consider the following DAAD website (note that, unfortunately, only students who are currently involved in the German academic systems can be funded): https://www.daad.de/ausland/studieren/stipendium/de/19047-internationale-fo… The local supervisor at Berkeley is Manfred Eppe, who primarily has a background in AI, Knowledge Representation and Reasoning, and Cognitive Robotics. While there are also Machine Learning Experts at ICSI, it would be useful if the interested student had another supervisor with a background in Machine Learning at the home university in Germany, or if the student already had an exceptionally strong record and research experience in Machine Learning. Possible research topics include, but are not limited to: * Symbol Grounding and Conceptualization in Deep Feature Networks * Representation and Exploitation of Relations between Features in Deep Networks * Semantic and Symbolic Visualization of Deep Networks * Supporting Reinforcement Learning with Classical Action Planning or Formal Reasoning * Semantic Classification and Object Recognition * Evolutionary Linguistics and Emergent Semantics with Neuronal Nets Application domains include, but are not limited to: * Robotics * Multi Agent Systems * Planning and Scheduling * Qualitative Spatial and Temporal Reasoning * Computer Vision * AI in Computer Games * Natural Language Understanding The FITweltweit fellowship is offered by the DAAD, and the prospective student is ultimately responsible himself for preparing the DAAD application. We have no influence on the success of an application, but we offer support in preparing the research plan and other paperwork, such as visa-related issues. It has been reported that the acceptance rate for the FITweltweit program is relatively high. According to the details provided on the DAAD website, research visits can last between 1 and 6 months, with financial support of monthly 925 EUR for Master students and 1350 EUR for doctoral students, plus travel allowance for the flight in both cases. We recommend to stay for at least 3 months (better 6). We offer a comfortable infrastructure within an internationally renowned research institute with office space, help to finding housing and accommodation in the bay area, as well as a very friendly and supportive working atmosphere (with free coffee, too!). We ask the interested student to send us a CV and an extended preliminary abstract about the planned research (max. 1 page). The CV should include relevant courses that you have taken at university. In your email, please also indicate the period in which you plan to come. Herein, please allow for a buffer and be conservative with your planning. Consider that it takes around three months for the DAAD to send you a decision about the application, and around 1-2 months to obtain the visa. Please note that the research visit should happen in 2016. Please send your documents by 1st February 2016 to eppe(a)icsi.berkeley.edu, and please get in touch earlier if you have any questions. Best Regards, Manfred Eppe -- - Dr. Manfred Eppe International Computer Science Institute University of California at Berkeley 1947 Center Street, 6th floor Berkeley, CA 94704 California, USA phone (USA): +1 510 646 3318 phone (Germany): +49 176 2153 2311 web: www.manfred.eppe.eu mail: eppe(a)icsi.berkeley.edu skype: manfred.eppe ************************** ****** Sapere Aude! ****** **************************

Jan. 14, 2016

Lectureship in "data science"

by Thomas Nowotny

The School of Engineering and Informatics at the University of Sussex is appointing lecturers in computer science, including one lecturership in ³data science² <http://www.sussex.ac.uk/aboutus/jobs/566>. Even though the advert doesn¹t give it justice, this includes the relevant areas of Computational Neuroscience and the new lecturer would be free to join the Evolutionary and Adaptive Systems (EASy) group (http://www.sussex.ac.uk/easy/) at Sussex. The University of Sussex (http://www.sussex.ac.uk) is located on the South Coast of England in the beautiful sea-side town of Brighton. Interested people working in relevant areas of Computational Neuroscience and Neuroinformatics are strongly encouraged to apply. Feel free to contact me for informal enquiries and please circulate in your professional networks. With kind 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

Jan. 14, 2016

SISSA encourages young neuroscientists to consider Trieste

by Alessandro Treves

The International Centre for Theoretical Physics has issued an open call for applications to a tenure track position in Quantitative Life Sciences, which could be filled by a neuroscientist. The Cognitive Neuroscience faculty at SISSA would be delighted to welcome such a colleague to Trieste and to interact in research and training activities, and recommends that potential applicants look at the particularly favorable employment terms offered by ICTP, as a UN body. See the post in Quantitative Life Sciences on http://www.ictp.it/about-ictp/personnel-office/employment.aspx Early deadline February 17! -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy and Master in Complex Actions http://www.mca.sissa.it/

Jan. 14, 2016

Job Posting: Research Engineer/Scientist, Brain-Computer Interface, Machine Learning, Computational Neuroscience

by Behnood Gholami

*AreteX Systems, Inc. – New York, NY* AreteX Systems, a medical technology startup company accelerating the use of information technology in healthcare, has an immediate opening for a Research Engineer/Scientist in its office located in New York City. The position involves developing signal processing algorithms for innovative biomedical technologies involving physiological signals. We are looking for a self-motivated, highly talented individual with an excellent background in signal processing, machine learning, and brain-computer interface. The successful candidate will work closely with a team of physicians, nurses, engineers, and scientists in designing new clinical decision support systems. Candidates with experience in the analysis of experimental data derived from---but not limited to---auditory/visual/cross-sensory psychophysical, EEG, ECG, and galvanic-skin conductance, data would be given a higher priority. *Minimum Requirements:* - MS or PhD in electrical engineering, computer science, biomedical engineering, applied mathematics, or a similar discipline. - Knowledge of advanced concepts in signal processing. - Research experience in biosignal analysis or brain-computer interface applications. - Knowledge of methods, theory, and application of machine learning techniques. - Proficient at writing technical papers/reports/presentations. - Experience with Python. *Preferred Qualifications:* - Prior expertise and exposure using non-invasive human physiological measures such as EEG, ECG, galvanic-skin conductance (electrodermal activity), or other categorically similar methodologies. - Prior experience with mechanical ventilation and fluid management technologies in the intensive care units. - Knowledge of control systems design and dynamical systems modeling. - Prior experience in feature extraction from physiological signals. - Experience working with quantitative methods of neural data analysis. Send your cover letter and CV to info(a)aretexeng.com.

Jan. 14, 2016

postdoc and PhD positions Max Planck Research Group Neural Circuits

by Johannes Seelig

The Max Planck Research Group "Neural Circuits" at the center of advanced european studies and research (caesar) in Bonn, Germany, is looking for postdocs (Reference: Postdoc Neural Circuits 2016) and Ph.D. students (Reference: Ph.D. Neural Circuits 2016). The main focus of Johannes Seelig’s lab is to understand adaptive neural circuits underlying sensorimotor integration and the impact of neuromodulators on these circuits. We apply the latest tools and methods in two photon imaging, optogenetics, and electrophysiology to relate the activity of populations of neurons in behaving animals to computational models of neural circuits. We are looking for candidates with a strong quantitative background in neuroscience, biophysics or related fields (physics, chemistry, engineering, molecular biology). A strong expertise in optical imaging, data analysis, programming, instrumentation, and previous work in a genetic model organism (such as fruit fly or mouse) would be ideal. Caesar is part of a cluster for neuroscience in the Bonn-Cologne region, comprising the universities of Bonn and Cologne, the German Center for Neurodegenerative Diseases and two Max Planck Institutes. The Institute hosts the International Max Planck Research School for Brain & Behavior and is involved in the Bonn International Graduate School of Neuroscience. More information on the group can be found at http://www.caesar.de/seelig.html. Please send an email to johannes.seelig(a)caesar.de<mailto:johannes.seelig@caesar.de> for informal enquiries and/or submit your application at our job portal: www.caesar.de<http://www.caesar.de> Johannes Seelig research center caesar - center of advanced european studies and research, an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn Germany email: johannes.seelig(at)caesar.de <file://localhost/javascript/linkTo_UnCryptMailto('nbjmup+kpibooft:tffmjhAdbftbs:ef')%3B>phone: +49 (0)228 9656-190 fax: +49 (0)228 9656-9190

Jan. 14, 2016