- Comp-neuro - lists.cnsorg.org

TEX2016 to close with keynote lecture by Yann LeCun

by Alessandro Treves

Our 9 days of cross-fertilization http://indico.sissa.it/e/tex2016 on language learning will close with the open-ended stimulation provided by a pioneer of the deep learning perspective (on July 15). Students are still invited to apply to the school, before April 15, (no extensions - enough applications already) and free participants are most welcome to join TEX2016 any time; but book your own accommodation! -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623+39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602+39-349-2504602

April 5, 2016

MuTE software UPDATE: the graphical user interface is ready

by Alessandro Montalto

Dear all, I am very pleased to announce the availability of the updated version of MuTE, a toolbox that is able to detect directed dynamical influences among time series. This new open source software implements four entropy estimators in both uniform and non-uniform embedding approaches. *The graphical user interface is ready to be used.* Please download the latest version of MuTE here: http://mutetoolbox.guru/downloads/ The GUI has been developed by Frederik Van de Steen: http://mutetoolbox.guru/frederik-van-de-steen/ ******************* Subscribe to the newsletter if you want to be kept updated about future updates of MuTE or follow the toolbox improvements through - twitter: https://twitter.com/mutetoolbox - facebook: https://www.facebook.com/mutetoolbox Best regards, Alessandro Montalto

April 4, 2016

[ACM UMAP] Final Call for Tutorials

by Jie Zhang

Final Call for Tutorials ACM UMAP 2016 invites tutorials that address the interests of its varied audience: people new to the User Modeling, Adaptation and Personalisation researchers and practitioners who wish to learn new technologies, users of Personalized technologies, and representatives of government and funding agencies as well as potential private investors in Personalized technologies. We welcome submissions of tutorial proposals on all major topics related to user modeling and personalisation technologies. We especially solicit proposals for tutorials of the following types: -- Tutorials with a coherent theme providing an introduction to new user modeling technologies, methods, techniques, and trends (e.g. exploiting data-mining and big data analytics for user modeling, evaluation methodologies, data visualizationetc.) -- Tutorials describing the application of user modeling and personalization technologies in specific domains (e.g., health sciences, e-government, e-commerce, cultural heritage, education, internet of things, mobile, music, information retrieval, NLP, etc.). -- Tutorials presenting techniques from other fields that are of relevance for user modeling and personalization research, including social sciences, digital humanities, biomedical or cognitive science, and neuroscience research. Tutorials may focus on theoretical topics, however, we encourage organizers to incorporate hands-on sessions where appropriate. The tutorial should reach a good balance between the topic coverage and its relevance to the community. Tutorials can be half a day (3 hours) or full day (6 hours). Timeline for Tutorials Tutorial proposals due: *April 10, 2016* Notification of acceptance: May 5, 2016 Tutorial Days: 13 July (Wednesday) and/or 17 July (Sunday) 2016 Responsibilities Organizers of accepted tutorials are responsible for preparing the materials for attendees (slide sets, additional teaching material, software installation and usage guides for practical hands-on sessions, etc.) to the Tutorial Chairs. The UMAP 2016 Organizing Committee is responsible for providing publicity for the tutorials as part of the conference publicity activities, and on-site logistical support to the organizers and attendees. General Information In the interest of the overall quality of the conference, the Tutorial Chairs reserve the right to merge tutorials and/or adjust the scope thereof in case a minimum number of registrations is not reached by the early registration deadline. Submission details Tutorial proposals should not exceed 5 pages, and should contain the following information: -- Abstract. 200 words maximum, for inclusion on the UMAP2016 website. -- Tutorial description: objectives of the tutorial and relevance to UMAP2016; information about the scope and level of detail of the material to be covered; intended audiences; learning objectives; practical sessions. -- Tutorial length. The tutorial can be full or half day -- Specify other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions. Links to the slides of previous tutorial editions (if applicable) should be included in the proposal. -- Brief professional biography of the presenter(s) indicating previous training and speaking experience (such as teaching and tutorial presentation). All proposals will be reviewed by the tutorial chairs and discussed within the organization committee of the UMAP2016. Submission Proposals should be submitted in PDF format by email to the tutorial chairs at workshopumap2016(a)gmail.com by April 10, 2016. Tutorials Chairs Federica Cena, Università degli Studi di Torino, Italy, email: cena(a)di.unito.it Jie Zhang, Nanyang Technological University, Singapore, email: zhangj(a)ntu.edu.sg

April 4, 2016

Call for papers - NIAMS'16

by Tolga Tasdizen

Apologies for multiple receptions. Please share with your colleagues who might be interested. Call for papers Workshop on Neuroscientifc Image Analysis at the Microscopic Scale (NIAMS'16) The Workshop on Neuroscientific Image Analysis at the Microscopic Scale (https://sites.google.com/site/niams2016/ <https://sites.google.com/site/niams2016/>) will be held in conjunction with the MICCAI conference (http://www.miccai2016.org/en/ <http://www.miccai2016.org/en/>) on October 17, 2016 in Athens, Greece. Recent advances in labeling and microscopy techniques have revolutionized our ability to visualize neurons and synapses in living brain tissue. The quantitative analysis of vast amounts of imaging data has become a major bottleneck in neuroscience. This workshop focuses on current challenges in processing and analysis of microscopic images in neuroscience. We invite contributions ranging from novel algorithmic strategies in biomedical image processing to specific examples and solutions to key problems in neuroscience research, including: automatic detection, segmentation, tracking, reconstruction, shape analysis, and modeling of spines, dendrites, and neurons in confocal, two photon, super resolution, and electron microscopy data. We will accept the submission of full papers (8pages, LNCS style), which will be reviewed by the program committee consisting of the organizers and the advisory board. The deadline for paper submission is June 24, 2016. The highest quality papers will be selected for (oral and/or poster) presentation. We plan to publish hardcopy proceedings in Springer LNCS. In addition, we intend to organize a special issue in one of the top journals in the field where extended versions of the selected invited papers of the workshop will be published. Important dates Paper submission: June 24, 2016 Notification of acceptance: July 22, 2016 Workshop: October 17, 2016 Organizers Tolga Tasdizen, University of Utah Devrim Unay, İzmir University of Economics Inbal Israely, Champalimaud Foundation Valentin Nagerl, University of Bordeaux / CNRS If you have any questions, please contact Tolga Tasdizen (tolga(a)sci.utah.edu <mailto:tolga@sci.utah.edu>)

April 3, 2016

PhD offer in Paris South: Modeling and steering brain oscillations based on in vivo optogenetics data

by Antoine Chaillet

Antoine Chaillet, Alain Destexhe and Mario Sigalotti are proposing a PhD entitled "Modeling and steering brain oscillations based on in vivo optogenetics data", at the interface between control theory and computational neuroscience. Candidates should contact antoine.chaillet(a)centralesupelec.fr for more information. Description: Neuronal oscillations are ubiquitous in the brain, both in health and disease. Nonetheless, the precise role of these oscillations is still a matter of debate, and the mechanisms by which they are generated are still poorly understood. Technological advances offer unprecedented ways to acquire and influence these oscillations. Electrode arrays and electrodes with dense recording plots now provide excellent spatiotemporal resolution of local brain activity. Moreover, the recent advent of optogenetics is revolutionizing the way of stimulating brain structures. The combination of electrophysiological recordings and optogenetics is thus particularly appealing to decipher the mechanisms of oscillation generation, their role in brain functioning, and the development of closed-loop strategies to steer brain oscillations (especially pathological ones). This project aims at developing and validating ad hoc methodologies to model, identify, analyze and control brain oscillations with these experimental tools. The challenges in that direction are numerous due to the nonlinear and spatiotemporal nature of the processes involved. To address these challenges, this project proposes to adapt or develop methodologies from control theory to the brain dynamics specificities. The performance of the developed methodologies will be confronted to experimental data of pathological oscillations linked to parkinsonian symptoms, that were collected on healthy and parkinsonian primates under optogenetics in the ANR project SynchNeuro. The aim of this PhD thesis is to develop a methodological framework, based on control engineering, to address three challenges: 1) development of a spatiotemporal model of specific brain oscillations, whose parameters are identified based on experimental data 2) formal analysis of brain oscillations onset and characterization of their dynamics in terms of magnitude, frequency and phase 3) development of closed-loop photostimulation strategies to disrupt, attenuate, or steer brain oscillations. Supervision: The PhD thesis will be supervised by Antoine Chaillet (L2S), in collaboration with Alain Destexhe (UNIC) and Mario Sigalotti (CMAP). It will take place in Gif sur Yvette (south of Paris), France. Sought candidate: We are looking for a brilliant motivated student, eager to work on an interdisciplinary topic. Strong background in dynamical systems is needed, as well as interest for theoretical developments. Experience in identification based on experimental data, or numerical simulations would be appreciated. No French ability is required. Antoine Chaillet Associate Professor Univ. Paris Sud 11 - L2S - CentraleSupélec 3, rue Joliot Curie 91192 - Gif sur Yvette, France +33 1 69 85 13 83

April 2, 2016

EPFL: PhD student position in neuromechanical models of vertebrate locomotion

by Auke Ijspeert

PhD student position in neuromechanical models of vertebrate locomotion http://biorob.epfl.ch/openings The Biorobotics laboratory (Biorob, http://biorob.epfl.ch/) at EPFL (Lausanne, Switzerland) at EPFL (Lausanne, Switzerland) anticipates to have one open PhD studentship in computational neuroscience and biorobotics. The goal of the project is to develop neuromechanical models of vertebrate locomotion, together with Marc-Olivier Gewaltig (computational neuroscientist) and Gregoire Courtine (neuroscientist). *The neuromechanical models will include numerical models of spinal cord circuits coupled to biomechanical models of the body. The first target animal will be the mouse; depending on progress, human models might be developed in a second stage. The spinal cord models might also be tested and validated in some of the quadruped robots developed by the Biorobotics laboratory. The position will be fully funded thanks to a grant from the Human Brain Project. EPFL is one of the leading Institutes of Technology in Europe and offers internationally competitive salaries and research infrastructure. Requirements: Candidates need to have a Master degree in a field related to computational neuroscience e.g. in physics or computer science. The ideal candidate for this position should have a strong math background (e.g. in dynamical systems), good programming skills, and interest/expertise in modeling neural circuits and biomechanical systems, and in locomotion. How to apply for the position: Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/) The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs in robotics (http://phd.epfl.ch/EDPR) or neuroscience (http://phd.epfl.ch/neuroscience) Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. Deadline and starting date: Applications will be considered continuously until the position is filled. The starting date is between April and September 2016 (the sooner the better). Note that the doctoral program in robotics (EDRS) has a deadline on April 15 2016, and the one in neuroscience (EDNE) on May 1st 2016. Contact: Information concerning the type of research carried out by the group can be found at http://biorob.epfl.ch/. You should send your application and any inquiry by email to: Prof. Auke Jan Ijspeert <http://biorob.epfl.ch/page38158.html>, auke.ijspeert(a)epfl.ch <mailto:auke.ijspeert@epfl.ch> -- ----------------------------------------------------------------- Prof. Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB EPFL, Ecole Polytechnique Fédérale de Lausanne Station 9, CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www: http://biorob.epfl.ch Email: Auke.Ijspeert(a)epfl.ch -----------------------------------------------------------------

April 2, 2016

[IEEE ICCI*CC'16:] IEEE ICCI*CC’16 Deadline is Extended to April 30 @Stanford Univ. – Computational Intelligence/Cognitive Informatics/Cognitive Computing

by Yingxu Wang

Dear Colleagues, Upon numerous requests and due to the recent system instable status of the submission site, deadline for paper submission to IEEE ICCI'CC’16 (15th IEEE International Conference on Cognitive Informatics & Cognitive Computing) has been extended to April 30, 2016 (http://www.ucalgary.ca/icci_cc/iccicc-16) Workshops, special sessions proposals, and short papers are welcome. The Proceedings of ICCI*CC'16 will be published by IEEE CS Press. Papers accepted in ICCI*CC’16 will be indexed by EI. Extended versions of selected papers will be published in several EI or SCI indexed journals. Full papers are expected to be around 5-8 pages in IEEE double column format. Short papers (3-4 pages) that report industrial experience, case studies, work in progress, or graduate students’ research are also welcome. Paper submission site is at: https://easychair.org/conferences/?conf=iccicc2016. The conference will be featured by four keynote speeches such as those of Prof. Lotfi A. Zadeh with UC Berkeley and Prof. Bernard Widrow with Stanford University, that highlight cutting-edge theories and novel technologies for cognitive systems and computational intelligence inspired by the brain. We look forward to meeting you at Stanford University during Aug. 22-23, 2016. Sincerely, IEEE ICCI*CC'16 Co-Chairs GENERAL CO-CHAIRS: Bernard Widrow (Stanford) and Yingxu Wang (UofC, Canada) PROGRAM CO-CHAIRS: Newton Howard (MIT) and Kostas Plataniotis (Univ. of Toronto, Canada)_______________________________________________ This message was sent to all subscribers of ieeeicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: ieeeicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

April 1, 2016

Quantitative Analysis of Neuroanatomy special issue / ebook

by Stephen Eglen

On behalf of all the editors, I am pleased to announce the release of our special issue on the Quantitative Analysis of Neuroanatomy. All articles have been published in Frontiers in Neuroanatomy. As of March 2016, all papers are now freely available as an Ebook either in PDF or EPUB format. The aim of this Research Topic is to examine theoretical and experimental work directed at a detailed and comprehensive quantitative understanding of neuroanatomy. Integrating such knowledge with functional data should provide a more complete understanding of how the nervous system in different animal species is organized to generate appropriate behaviour. Home page: http://journal.frontiersin.org/researchtopic/2028/quantitative-analysis-of-… Blog page: http://sje30.github.io/post/qan/ Table of contents Editorial: Quantitative Analysis of Neuroanatomy Julian M. L. Budd, Hermann Cuntz, Stephen J. Eglen and Patrik Krieger. A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling Arne V. Blackman, Stefan Grabuschnig, Robert Legenstein and P. Jesper Sjöström. Automated computation of arbor densities: a step toward identifying neuronal cell types Uygar Sümbül, Aleksandar Zlateski, Ashwin Vishwanathan, Richard H. Masland and H. Sebastian Seung. Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior Simona Ullo, Thierry R. Nieus, Diego Sona, Alessandro Maccione, Luca Berdondini and Vittorio Murino. Axonal and dendritic density field estimation from incomplete single-slice neuronal reconstructions Jaap van Pelt, Arjen van Ooyen and Harry B. M. Uylings. Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures Daniel C. Miner and Jochen Triesch A workflow for the automatic segmentation of organelles in electron microscopy image stacks Alex J. Perez, Mojtaba Seyedhosseini, Thomas J. Deerinck, Eric A. Bushong, Satchidananda Panda, Tolga Tasdizen and Mark H. Ellisman. Three-dimensional distribution of cortical synapses: a replicated point pattern based analysis Laura Anton-Sanchez, Concha Bielza, Angel Merchán-Pérez, José-Rodrigo Rodríguez, Javier DeFelipe and Pedro Larrañaga. The patterning of retinal horizontal cells: normalizing the regularity index enhances the detection of genomic linkage Patrick W. Keeley and Benjamin E. Reese Statistical analysis and data mining of digital reconstructions of dendritic morphologies Sridevi Polavaram, Todd A. Gillette, Ruchi Parekh and Giorgio A. Ascoli Towards a “canonical” agranular cortical microcircuit Sarah F. Beul and Claus C. Hilgetag Generation of dense statistical connectomes from sparse morphological data Robert Egger, Vincent J. Dercksen, Daniel Udvary, Hans-Christian Hege and Marcel Oberlaender Context-aware modeling of neuronal morphologies Benjamin Torben-Nielsen and Erik De Schutter The effects of neuron morphology on graph theoretic measures of network connectivity: the analysis of a two-level statistical model Jugoslava Aćimović, Tuomo Mäki-Marttunen and Marja-Leena Linne Homeostatic structural plasticity can account for topology changes following deafferentation and focal stroke Markus Butz, Ines D. Steenbuck and Arjen van Ooyen Parametric Anatomical Modeling: a method for modeling the anatomical layout of neurons and their projections Martin Pyka, Sebastian Klatt and Sen Cheng Saltatory conduction in unmyelinated axons: clustering of Na+ channels on lipid rafts enables micro-saltatory conduction in C-fibers Ali Neishabouri and A. Aldo Faisal

April 1, 2016

Three neuroinformatics positions in ferret brain research

by Rembrandt Bakker

(apologies for any cross-postings) In a collaboration between University Medical Center Eppendorf (Hamburg, Germany), the Donders Institute (Radboud University Nijmegen, The Netherlands), and Institute Pasteur (Paris, France), three positions at the postdoc level are available. The research focuses on studying the architecture and connectivity of the ferret brain, encompassing research on architecture and morphology (particularly, cortical folding) of the developing brain as well as the collation and analysis of brain connectivity in the adult brain. The project will make available a public data set of MRI and microscopic images of the developing ferret brain, together with tools for the online annotation of these data. The Nijmegen and Paris components of the research both develop the tools and perform an initial analysis of the MRI and microscopy data. The Hamburg component continues the development of a public online database of brain connectivity in conjunction with the development of an atlas of the adult ferret brain. The three positions are described in detail below. 1. Position at Radboud University. The full text of this position is available here: https://www.academictransfer.com/employer/RUN/vacancy/32519/lang/en/ The summary is: "We are looking for a highly motivated postdoctoral candidate to contribute to a neuroinformatics platform that allows researchers worldwide to jointly work on the creation of brain atlases. The scientific use case is to build a detailed developmental brain atlas for the ferret. The ferret is special in that the folding patterns of its brain develop after birth, so that the folding process can be studied on the basis of a series of combined MRI and microscopy data sets. Data will be provided by our partner Dr. Roberto Toro from Institute Pasteur in Paris, who is also the creator of the platform prototype (www.siphonophore.org/microdraw) You will work together with Dr. Rembrandt Bakker who leads the Scalable Brain Atlas project (www.scalablebrainatlas.org) The project is funded by the Netherlands Organization for Scientific Research (NWO) and its French counterpart and is part of a FLAG-ERA funding scheme that falls under the umbrella of the Human Brain Project. Further inquiries: r.bakker(a)fz-juelich.de, p.tiesinga(a)science.ru.nl 2. Position at University Medical Center Eppendorf, Hamburg, Germany We seek a Researcher in Neuroinformatics at the predoctoral or postdoctoral level, to curate an online database of ferret brain architecture and connectivity. The position is available immediately and runs until 30th June 2019. Further extensions are possible. The researcher will be expected to continue the conceptual and technical development of the ferretome.org database system, and supervise the population of the database with data collated from the literature as well as newly performed anatomy experiments. Moreover, the researcher will work on the integration of the ferretome with online atlases of the ferret brain. The researcher will be based at the Department of Computational Neuroscience, University Medical Center Eppendorf, Hamburg, Germany. The position is part of the Collaborative Research Center 936 (sfb936.net) âMulti-site communication in the brain" and would suit a researcher with background in computer science or biology. In any case, the position requires strong computer skills, particularly in database systems, high proficiency in written and spoken English and great curiosity. The researcher needs to integrate well with a highly multinational, multidisciplinary team at the Department of Computational Neuroscience as well as the Research Center 936. For researchers at the predoctoral level, the position offers the opportunity for obtaining a PhD degree. For further inquiries contact Prof. Claus C. Hilgetag, PhD: c.hilgetag(a)uke.de. 3. Position at Institute Pasteur This position at the postdoctoral level will commence after the microscopy data for the developmental ferret atlas has become available. The candidate should have a background in computational neuroanatomy or neuroinformatics, and preferrably have experience with online development and data visualisation. You will be working together with OphÃ©lie Foubet, who is doing a PhD that focuses on the mechanics of neocortical development. Contact Roberto Toro: roberto.toro(a)gmail.com for details about this position. -- Dr. R. Bakker Forschungszentrum JÃ¼lich / Radboud University Nijmegen +31645774665 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

April 1, 2016

Berkeley course in mining and modeling neuroscience data, July 11-22, 2016

by Jeff Teeters

Call for applications: We invite applicants to the 2016 summer course in "Mining and modeling of neuroscience data" to be held July 11-22 at UC Berkeley. A description of the course is below and also at: http://crcns.org/course Application deadline is April 30. ----- Berkeley summer course in mining and modeling of neuroscience data July 11-22, 2016 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley) 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 Institute of Health, the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, and the Helen Wills Neuroscience Institute at UC Berkeley. 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 Robert Kass, Carnegie Mellon University, Pittsburgh Maneesh Sahani, Gatsby Unit, University College London Odelia Schwartz, University of Miami Frederic Theunissen, University of California Berkeley Joshua Vogelstein, Johns Hopkins University 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 both MatLab and Python installed. Cost There is no cost to attend. Non-local attendees will be reimbursed for qualifying travel and food expenses if receipts are provided. Housing Rooms in a hotel within walking distance to campus will be provided for those attendees who need accommodations. Food Breakfast and some dinners will be provided to all participants as a group. Non-local attendees can purchase food at local stores or restaurants and be reimbursed. How to apply To apply, submit the online form linked from: http://crcns.org/course. A curriculum vitae and a letter of recommendation are required. The course is limited to 25 students. Deadlines Applications must be received by the end of April. Notifications of acceptance will be given by May 15. Questions Questions about the course can be sent to course [at] crcns.org. Topics covered (subject to change): 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 - Overview of stimulus-response function models - 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 - Scene statistics approaches and neural modeling Techniques for analyzing multiple-electrode and optical neural recordings: - Event sorting in electrophysiology and optical imaging - Optophysiology cell detection - Sparse coding/ICA methods, vanilla and methods including statistical models of nonlinear dependencies - Methods for assessing functional connectivity - Statistical issues in network identification - Low-dimensional latent dynamical structure in network activity–Gaussian process factor analysis/newer methods Analyzing structural data: - Histology cell detection - Statistical connectomics Neuroinformatics topics: - Petascale data storage, exploration, parsing and analysis - Introduction into Neurodata Without Borders data format for Neurophysiology

March 31, 2016