- Comp-neuro - lists.cnsorg.org

Re: [Comp-neuro] Real World Eye Tracking Course

by Durant, Szonya

Real World Eye Tracking Course<https://www.royalholloway.ac.uk/psychology/prospectivestudents/real-world-e…> An introductory course to using eye tracking in real world situations Organized jointly by Acuity Intelligence Ltd. and Dept. of Psychology, Royal Holloway * Compare several remote fixed eye-tracker and mobile eye-tracking glasses systems * A range of manufacturers * Gain hands-on experience in real-world situations * Meet and collaborate with users from academia and industry Systems used in mini-projects: Tobii Glasses 2, TX300, SMI eye tracking glasses Software used: Tobii Studio, Tobii Glasses 2 software, SMI iView, BeGaze Further possible system demonstrations: Ergoners Dikabils, EyeLink Course outline: https://www.royalholloway.ac.uk/psychology/documents/pdf/course-outline.pdf Further details: https://www.royalholloway.ac.uk/psychology/documents/pdf/further-details.pdf Course dates: 9.30am 25 April - 5.30pm 26 April 2016 Department of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, United Kingdom Prices: Industry £800, HEI staff £400, Postgraduate students £80 (note for a postgrad place, email contact below to be placed on waiting list) (participants can be based in any country) Deadline for registration: 1 Feb 2016 Link for registration: http://onlinestore.rhul.ac.uk/browse/category.asp?compid=1&modid=1&catid=643 Contact: sales(a)acuity-intelligence.com<mailto:sales@acuity-intelligence..com>

Jan. 25, 2016

Announcing: Computational Approaches to Memory and Plasticity summer course, July 2016

by U.S.Bhalla

CAMP@Bangalore 2016 will run from 1 July to 16 July 2016. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. There is a special emphasis on multiscale phenomena in learning and memory: How do molecular, electrical, and network levels of computation come together to give memory? The course will start with remedial tutorials on neuroscience / math / programming and then work upwards from sub-cellular electrical and chemical signaling in neurons, and onward to micro-circuits and networks. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Last date for applications: 21 February 2016. Instructors include: Tomoki Fukai, (RIKEN BRAIN SCIENCE INSTITUTE, Japan) Alain Destexhe (CNRS, France) Misha Tsodyks (Weizmann Institute, Israel) Upinder Bhalla (NCBS, Bangalore) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Arvind Kumar (KTH, Stockholm) Sumantra Chattarji (NCBS, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Raghav Rajan (Indian Institute of Science Education and Research, Pune) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore)

Jan. 25, 2016

Postdoctoral position in computational neuroscience at Harvard

by Jan Drugowitsch

*Postdoctoral position in the Drugowitsch Lab in computational neuroscience* *Location*: Harvard Medical School, Boston, MA *Start*: May 2016 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School ( http://neuro.hms.harvard.edu/people/faculty/jan-drugowitsch) The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. The candidate is expected to perform research related to these topics. Close interaction and collaboration with other members of the department is anticipated. Candidates should have a strong analytical background (e.g., computational neuroscience, physics, mathematics, engineering, etc.) and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Previous experience should include sufficient programming skills to run numerical simulations, Bayesian methods, and expertise in the analysis of dynamical systems. The position starts in or after May 2016, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch(a)hms.harvard.edu. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Jan Drugowitsch will be available at the Cosyne conference and workshops for question about the position.

Jan. 25, 2016

Fellowships for Image Based Modeling Summer Course in Park City, Utah

by Rob MacLeod

Dear Colleagues, I am pleased to inform you that the fellowship application and registration are now open for the Image Based Biomedical Modeling (IBBM) Summer Course in July, 2016. We encourage you to forward this email to your group and your community. If you have any question please let me know. Fellowship Application Deadline : March 15, 2016 Early Bird Registration Deadline: May 15, 2016 Registration Deadline: June 10, 2016 We look forward to welcoming you to Utah this summer. Best, The IBBM Team Park City Summer Course in Image Based Biomedical Modeling July 11-21, 2016 Newpark Resort in Park City, Utah ibbm.sci.utah.edu <http://ibbm.sci.utah.edu/> Contact: ibbm(a)sci.utah.edu <mailto:ibbm@sci.utah.edu> For Graduate Students, Postdocs, Faculty, and Industry. We invite students underrepresented in health-related sciences to apply. This course creates field-specific expertise and hands-on experience in bioelectric or biomechanical problems that arise in current biomedical research and clinical practice. It provides training in numerical methods, image analysis, and computational tools necessary to carry out end-to-end, image-based, subject-specific simulations in bioelectricity or biomechanics, using freely available software. Organizers: Rob Macleod, Jeff Weiss, and Ross Whitaker Supported by the National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS)

Jan. 25, 2016

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

by Michael Pfeiffer

We are inviting applications for the MSc program in Neural Systems and Computation, an interdisciplinary program offered as a Joint Master Program by the University of Zurich and ETH Zurich, Switzerland. The program offers a theoretical and laboratory training in neural computation and systems neuroscience. It offers hands-on knowledge of data gathering, analysis and scientific presentation. Students join an international and interdisciplinary research community with expertise in neuroinformatics, advanced experimental techniques and neuromorphic engineering. Further information can be found on our homepage http://www.nsc.uzh.ch. We offer a specialized full-time Masters program open to students with a Bachelor’s degree in the following disciplines: neurosciences, information technology, electrical engineering, biology, physics, computer sciences, chemistry, mathematics, and mechanical/chemical/control engineering. The core courses (all offered in English) provide a common foundation for students with different educational backgrounds, and cover the following: 1. Systems Neurosciences 2. Neural Computation and Theoretical Neuroscience 3. Neurotechnologies and Neuromorphic Engineering The application deadline for students starting in Fall Semester 2016 is *February 15th 2016*. Details about the application process and required documents can be found here: http://www.nsc.uzh.ch/?page_id=10 Mentors of the program are Richard Hahnloser, Kevan Martin, Klaas Enno Stephan, Giacomo Indiveri, Jean-Pascal Pfister, Mehmet Fatih Yanik, Bruno Weber, Fritjof Helmchen, Valerio Mante, Ruedi Stoop, Tobi Delbruck, Daniel Kiper, Shih-Chii Liu, Michael Pfeiffer, Matthew Cook, Arko Ghosh, and Wolfger von der Behrens. The program is affiliated with the Mathematics and Natural Sciences Faculty (MNF) at the University of Zurich (UZH) and the Information Technology and Electrical Engineering Department (D-ITET) of the ETH Zurich. All applications are handled by the University of Zurich. Application documents should be sent by email to nsc(a)ini.uzh.ch. Best regards, Michael Pfeiffer -- ========================================= Dr. Michael Pfeiffer Postdoc, Program coordinator NSC Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Tel. +41 44 635 30 45 Fax +41 44 635 30 53 pfeiffer (at) ini.phys.ethz.ch http://www.ini.uzh.ch/~pfeiffer/ =========================================

Jan. 25, 2016

SSNR2016: Second Announcement

by Jaime Ibánez Pereda

----------------------------------------------------------------------------------------------- We apologize if you receive multiple copies of this announcement ----------------------------------------------------------------------------------------------- *This year the Summer School of Neurorehabilitation and the Demove symposium come together !!!* *2016 School and Symposium in Advanced Neurorehabilitation (SSNR2016)* Baiona, Spain June 6-10 http://www.ssnr2016.org info(a)ssnr2016.org ----------------------------------------------------------------------------------------------- Dear colleagues, On behalf of all the organizers it is our pleasure to invite you to the *2016 School and Symposium in Advanced Neurorehabilitation (SSNR2016)* that will take place in Baiona (Spain) from June 6-10, 2016. SSNR2016 will provide in depth education on advanced procedures for neurorehabilitation of motor dysfunction, covering -at the basic and advanced levels- practical applications based on innovative neuroprosthetic systems, robotic interfaces and other combinational approaches. This year the Summer School of Neurorehabilitation and the Demove Symposium meet in an intense week to offer you exceptional opportunities to increase your skills and knowledge in the astonishing field of Neural Engineering and Rehabilitation. We are looking forward to welcoming you in Baiona (Spain) on June 2016! ----------------------------------------------------------------------------------------------- *- Registration -* *Prospective applicants to the School* must fill in the Application Form by March 15, 2016. The admission to the School will be decided upon a selection made by the Steering Committee and until the maximum number of registrations is reached. Earlier registrations will be given priority. Notification of the acceptance will be made by April 1, 2016. The School will begin with a welcome cocktail in the evening of the 5th of June (2016) and it will end on Friday, 10th June 2016. *Participants to the Symposium* can send their contributions by March 15, 2016. After a selection process, accepted articles will be announced to authors by April 1, 2016. The Symposium will take place on the 9th and 10th of June (2016). This Symposium is an integral part of the School, thus School applicants are encouraged to submit their contributions. *- Important Deadlines and Registration Fees-* *School deadlines:* Application: 15/3/2016 Notification: 1/4/2016 Payment: 1/5/2016 Fee (School + Symposium + Half-board accommodation + Welcome Reception + Gala dinner + Social program): 1090 € *Symposium deadlines:* Submission: 15/3/2016 Notification: 1/4/2016 Final submission & payment: 1/5/2016 General fee (Symposium + Lunch + Gala dinner + Social program): 450 € Students fee (Symposium + Lunch + Gala dinner + Social program): 300 € *- Confirmed Plenary speakers-* Prof. Thomas Sinkjaer, Aalborg University (Symposium Keynote Speaker) Prof. John Rothwell, University College London (Symposium Keynote Speaker) Prof. José Principe. University of Florida, USA (School Plenary Speaker) Prof. Zev Rymer. Northwestern University, USA(School Plenary Speaker) Prof. Walter Paulus, Georg-August-Universität Göttingen, Germany (School Plenary Speaker) Dr. Francesco Lacquaniti, Fondazione Santa Lucia – Rome, Italy (School Plenary Speaker) Prof. David Lloyd, Griffith University – Brisbane, Australia (School Plenary Speaker) Prof. Herman van der Kooij, University of Twente, The Netherlands (School Plenary Speaker) Prof. Eric Perreault, Northwestern University, USA (School Plenary Speaker) Prof. Etienne Burdet, Imperial College, UK (School Plenary Speaker) Prof. Dominique Durand, Case Western University, USA (School Plenary Speaker) *-Confirmed Workshops-* WS1 - Neural interfaces and Wearable robotics in rehabilitation: a clinical perspective Organizer: Jose L. Pons, CSIC. WS2 - Muscle synergies: Looking into the CNS Organizer: Diego Torricelli, CSIC WS3 - Human neuromusculoskeletal modeling Organizers: Massimo Sartori, University Medical Center Goettingen, and Monica Reggiani, University of Padova WS4 - Brain Computer Interfaces: principles and applications in neurorehabilitation Organizer: Arnau Espinosa, Guger Technologies OG WS5 - Virtual Reality and Gaming in Rehabilitation Organizer: A. Gil-Agudo (Hospital Nacional de Parapléjicos de Toledo) & Iris Dimbwadyo (La Salle University, Madrid) WS6 – DEMOVE Workshop on ‘Advanced EMG Processing for Man-Machine Interfacing in Neurorehabilitation’ Organizer: Silvia Muceli, Francesco Negro and Utku S. Yavuz. University Medical Center Goettingen, Germany For further and up-to-date information, please visit the conference website: http://www.ssnr2016.org Prof. D. Farina & Prof. José L. Pons Co-Chairs SSNR2016 http://www.ssnr2016.org

Jan. 25, 2016

Postdoctoral Research Associate Position in Infant Brain Mapping at UNC-Chapel Hill

by gangli

A postdoctoral research associate position is available at the Infant Brain Mapping Lab of the University of North Carolina at Chapel Hill (UNC-Chapel Hill). Our current focuses are to better understand the dynamic and critical early brain development in both health and disease, via multimodal neuroimaging analysis. The successful candidate will support our efforts either in advancing neuroimaging analysis technologies or in neuroscience applications. We are seeking highly motivated individuals who have extensive research experience in neuroimaging analysis (e.g., structural, diffusion or functional MRI) and demonstrated academic excellence, including publications in first-class journals and conferences. The candidate should have a Ph.D. (or equivalent) in Neuroscience, Computer Science, Applied Mathematics/Statistics, Electrical Engineering, Biomedical Engineering, or related fields. Good command of programming tools including Matlab, C++, Linux, and scripting are necessary to carry out the research work in this group. The successful candidate will be part of a diverse group including neuroscientists, radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's extensive foundation on neuroimaging analysis. If interested, please email resume to Dr. Gang Li (gang_li(a)med.unc.edu <https://outlook.unc.edu/owa/redir.aspx?SURL=r-ilRGXKGkv6jOyzGz3FjAPbDG9VNfM…> ). For more information, please visit: http://www.unc.edu/~gangl/contact.html <https://outlook.unc.edu/owa/redir.aspx?SURL=HcVZFV_dUot9RdWseT8XGNDO-UYKJHN…> .

Jan. 24, 2016

ANNPR 2016: Call for Papers

by Dr. Schwenker

**** Please apologize cross-postings. Call for Papers IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2016) September 28-30, 2016 Ulm University, Ulm, Germany ANNPR 2016 invites papers that present original work in areas of neural networks, machine learning and pattern recognition, focusing on both theoretical and applied aspects. Topics of interest include, but not limited to: Methodological Issues - Supervised learning - Unsupervised learning - Combination of supervised and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Kernel methods - Deep architectures Applications in Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimension reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics Important Dates Paper submission: May 4, 2016 Notification of acceptance: June 22, 2016 Camera ready due: July 6, 2016 Workshop: September 28-30, 2016 General Chairs Friedhelm Schwenker, Ulm University, Germany Hazem Abbas, German University of Cairo, Egypt Neamat El Gayar, Cairo University, Egypt Edmondo Trentin, University of Siena, Italy For more information, please visit us: http://neuro.informatik.uni-ulm.de/ANNPR2016/ -- Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

Jan. 24, 2016

Postdocs integrated into the Human brain Project – specifically data-driven modeling at the subcellular or network levels, or tool development/support

by Jeanette Hällgren Kotaleski

Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting postdocs to be working within the Human Brain Project. 1) Postdoc/application expert – specifically development of brain modeling tools: Specifically for the current position software applications providing user-friendly interface to cellular-level modelling tools will be developed, supported and used. These will include an optimization framework (for fitting electrical models of neurons to their observed electrical behaviour) and also a morphology pipeline (the tool used to analyse and validate neuron morphologies). More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… 2) Postdoc in computational systems (neuro)biology – specifically synaptic plasticity and neuromodulation: Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic signaling will be done. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… 3) Postdoc in brain simulations - specifically motor control and selection of behaviour: Specifically for the position, modeling of motor control and learning with basal ganglia as important components will be done. The modeling tools are mainly Nest and Neuron. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling… All the best, Jeanette Hellgren Kotaleski Prof, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm

Jan. 23, 2016

Intensive summer course at Princeton

by Carlos Brody

Announcing a 4-week Intensive Summer Course at Princeton Neurotechnologies for Analysis of Neural Dynamics Directors: David W. Tank and Michael Berry, Princeton University, Dates: June 12 – July 9, 2016. Application Form and Course Schedule: NAND.princeton.edu <http://nand.princeton.edu/> Application Deadline: Rolling admissions starting February 1, 2016. This course is designed to emphasize the major ways that scientists trained in the physical and information sciences contribute to the advance of neuroscience. It will introduce students with quantitative training in the physical sciences, mathematics or engineering to the concepts and research methodologies of modern neuroscience. Topics covered will range from cellular biophysics to systems neuroscience, including particularly imaging methods for the study of single neurons, networks of neurons and human brain dynamics during execution of behavioral computations. The course will be unique in its focus on neural dynamics at several scales of complexity – cells, circuits, intact brains – and the combination of didactic lectures and laboratory exercises, including cellular biophysics, synaptic interactions and plasticity in neuronal networks, and fMRI imaging of targeted brain regions in human subjects. The course includes substantive instruction in neurotechnologies, ranging from large-scale multi- electrode and optical recording, optogenetic stimulation and mathematical analysis of neural dynamics within the datasets produced by these methods. The capstone of this course will be one-week student-designed research projects integrating concepts and methodologies encountered during the initial formal lectures and laboratory exercises. Women and under-represented minorities are encouraged to apply.

Jan. 22, 2016