- Comp-neuro - lists.cnsorg.org

An Amazing Job Opportunity at Apple!
by Burak Yildiz Sept. 4, 2018

Sept. 4, 2018

We are looking for a Senior Systems Neuroscientist to join a great team of researchers at Apple in the San Francisco Bay Area. It's a unique opportunity to do research in industry. Please apply at this link: https://jobs.apple.com/us/search#&ss=Neuroscientist&t=0&so=&lo=0*USA&pN=0&o… Thanks, Burak Yildiz Sr. Research Scientist at Apple

1 0

[meetings] Call for Participation : Workshop on Continual Unsupervised Sensorimotor Learning - Tokyo - September 17th
by Nguyen, Sao Mai Sept. 3, 2018

Sept. 3, 2018

Call for Participation Workshop on Continual Unsupervised Sensorimotor Learning at IEEE ICDL-Epirob 2018 - Tokyo - September 17th Website : http://conferences.au.dk/icdl-epirob-2018-workshop/ ============================================================ Invited Speakers - Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany - David Ha, Google Brain - Lorenzo Jamone, Queen Mary University of London, UK Scope As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance. They include multi-task learning, multimodal sensorimotor learning in open worlds and lifelong adaptation to injury, growth and ageing. In this workshop we will discuss the developmental processes involved in the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The discussion will be strongly motivated by behavioural and neural data. We hope to provide a discussion friendly environment to connect with research with similar interest regardless of their area of expertise which could include robotics, computer science, psychology, neuroscience, etc. We would also like to devise a roadmap or strategies to develop mathematical and computational models to improve robot performance and/or to attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. The primary list of topics covers the following (but not limited to): - Emergence of representations via continual interaction - Continual sensory-motor learning - Action-perception cycle - Active perception - Environmental-driven scaffolding - Intrinsic motivation - Neural substrates, neural circuits and neural plasticity - Human and animal behaviour experiments and models - Reinforcement learning and deep reinforcement learning for life-long learning - Multisensory robot learning - Multimodal sensorimotor learning - Affordance learning - Prediction learning Organizers: - Nicolás Navarro-Guerrero, Aarhus University, Aarhus, Denmark - Sao Mai Nguyen, IMT Atlantique, France - Erhan Öztop, Özyeğin University, Turkey - Junpei Zhong, National Institute of Advanced Industrial Science and Technology (AIST), Japan Nguyen Sao Mai nguyensmai(a)gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr

1 0

2 open PhD positions in Sprekeler & Kempter labs on models of memory consolidation
by Richard Kempter Sept. 3, 2018

Sept. 3, 2018

Dear all, 2 PhD positions are open in the labs of Henning Sprekeler (TU Berlin) and Richard Kempter (HU Berlin), respectively, to be filled as soon as possible. Both positions are part of the recently established collaborative research center "Mechanisms and disturbances in memory consolidation: >From synapses to systems" https://fis.hu-berlin.de/converis/portal/Project/401700446?auxfun=&lang=en_… The project B01 in this research center focuses on developing computational models of systems memory consolidation, both conceptually and constrained by data from rodents and flies. The two PhD students are expected to collaborate closely. The ideal candidate has a background in computational neuroscience, strong mathematical and programming skills, and a keen interest in synaptic plasticity, learning and memory. If you are interested, please contact Henning Sprekeler or Richard Kempter. Please send the usual application documents (CV, letter of motivation, certificates of BSc and MSc, 2 references) until September 13, 2018. Interviews will take place on September 24/25 and/or September 28, i.e. around the Bernstein Conference in Berlin. Best wishes, Henning & Richard --- Prof. Dr. Henning Sprekeler (TU Berlin) Modelling of cognitive processes Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Sekr. MAR 5-3 Marchstr. 23 10587 Berlin, Germany Email: h.sprekeler(a)tu-berlin.de https://www.cognition.tu-berlin.de/menue/members/henning_sprekeler/ Phone: +49 (0)30 314 73557 Prof. Dr. Richard Kempter (HU Berlin) Theoretical neuroscience Humboldt-Universität zu Berlin & Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Building number 4 D-10115 Berlin, Germany Email: r.kempter(a)biologie.hu-berlin.de http://itb.biologie.hu-berlin.de/~kempter/index.html Phone +49-(0)30-2093-98404

1 0

EEG and Machine Learning Postdoctoral Position at Stanford for Personalized Medicine
by Sanggyun Kim Sept. 1, 2018

Sept. 1, 2018

*EEG and Machine Learning Postdoctoral Position at Stanford for PersonalizedMedicine* The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a postdoctoral fellow focused on machine learning and other sophisticated analyses of electroencephalography (EEG) data. This position is funded by an NIH Director’s Pioneer Award. The focus of the position is on creating and applying a variety of data analytic approaches to large EEG data sets (across individuals, or longitudinally within- individual) for the purpose of prediction of clinical outcome and tracking of clinical change. Particular emphasis is on connecting signal processing methodology to the classification challenges, potential use of deep learning, and building on applications from other related areas (e.g. brain-computer interface or other decoding efforts). It is anticipated that this work will contribute to development of clinic-translatable biomarkers, and will be part of FDA approval-directed efforts ongoing in the lab. The successful applicant will have a PhD in Engineering, Statistics, Computer Science, Neuroscience, Neurophysiology, Psychology, or related fields. Advanced experience with EEG data analysis and/or machine learning is required. Additionally, strong quantitative skills and a programming background are important. Duties will also include manuscript preparation, presentation of findings at conferences, and contribution to the preparation of grants. Laboratory and Stanford resources are extensive, MRI scanners, simultaneous EEG/fMRI, multiple high density EEG setups, and concurrent transcranial magnetic stimulation (TMS)/fMRI and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and the names of three recommenders, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford Neurosciences Institute Stanford University amitetkin(a)stanford.edu

1 0

The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes Aug. 28, 2018

Aug. 28, 2018

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The new Impact Factor of the journal is 2.414 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Stochastic Hybrid Systems in Cellular Neuroscience Paul C. Bressloff and James N. Maclaurin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Data Assimilation Methods for Neuronal State and Parameter Estimation Matthew J. Moye and Casey O. Diekman https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Bifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generator Andrea Ferrario, Robert Merrison-Hort, Stephen R. Soffe, Wen-Chang Li and Roman Borisyuk https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… What Is Required for Neuronal Calcium Waves? A Numerical Parameter Study Markus Breit and Gillian Queisser https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Investigating the Correlation–Firing Rate Relationship in Heterogeneous Recurrent Networks Andrea K. Barreiro and Cheng Ly https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

1 0

LACONEU Summer School - January 2019
by Patricio Orio Aug. 24, 2018

Aug. 24, 2018

----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2019 V Latin American Summer School in Computational Neuroscience Special Topic: Complex Systems and Network Connectivity January 7-25th, 2019 Valparaíso - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2019 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2019 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. This version also includes a WORKSHOP on January 16th, 2019 CONFIRMED SPEAKERS: - Demian Battaglia, Theoretical Neuroscience Group, INT, France - Joana Cabral, University of Oxford, UK - Bruno Cessac, INRIA Sophia-Antipolis, France - Dante Chialvo, Universidad Nacional de San Martín, Argentina - Rodrigo Cofré, Universidad de Valparaíso, Chile - Mauro Copelli, Federal University of Pernambuco, Brazil - Maxime Descoteaux, Université de Sherbrook, Canada - Wael El-Deredy, Universidad de Valparaíso, Chile - Pamela Guevara, Universidad de Concepción, Chile - María-José Escobar, Universidad Técnica Federico Santa María, Valparaíso, Chile - Henrik Jensen, Imperial College London, UK - Thierry Mora, École Normale Superiéure, France - Patricio Orio, Universidad de Valparaíso, Chile - Adrián Palacios, Universidad de Valparaíso, Chile - Tomás Pérez Acle, Fundación Ciencia y Vida, Chile - Peter Robinson, The University of Sydney, Australia - Fernando Rosas, Imperial College London, UK - Inés Samengo, Centro Atómico Bariloche e Instituto Balseiro, Argentina IMPORTANT DATES - Call for Applications: June 8th, 2018 - Application submission deadline: September 15th, 2018 (visit the webpage to see the details) - Acceptance notification: October 31st, 2018 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! *Prof. Patricio Orio* Centro Interdisciplinario de Neurociencias de Valparaíso *CINV* Facultad de Ciencias, *Universidad de Valparaíso, Chile* +56 32 299 5538 / 32 250 8040

1 0

Postdoc at RIKEN Center for Brain Science, Japan
by Taro Toyoizumi Aug. 23, 2018

Aug. 23, 2018

A postdoc position is available at Lab for Neural Computation and Adaptation, RIKEN Center for Brain Science, Japan http://toyoizumilab.brain.riken.jp/ to work with Taro Toyoizumi. Job: https://cbs.riken.jp/en/careers/20180817_w929_t_toyoizumi_r.html Our lab is interested in modeling activity-dependent synaptic plasticity and dynamic information processing by the neurons in the brain. We seek highly motivated postdoctoral researchers with a strong analytical background and interest in neuroscience. Applicants should have a PhD in physics, neuroscience, mathematics, computer science, engineering, or a related area. Applicants should email a CV and a list of publications to toyoizumilab(a)ml.riken.jp In addition, applicants should organize two letters of recommendation, to be sent by the referees to toyoizumilab(a)ml.riken.jp

1 0

NEST 2.16.0 released
by Hans Ekkehard Plesser Aug. 21, 2018

Aug. 21, 2018

Dear colleagues! I am very excited to inform you that we have released version 2.16.0 of NEST, the Neural Simulation Tool, today. NEST 2.16.0 is the result of 89 merged pull requests by 39 developers since we released NEST 2.14.0 in October 2017. Most notably, this release includes a new infrastructure for the storage of connections, which reduces the memory consumption and network build times (Jordan et al., 2018) and extends the rate model framework for novel use-cases (Senden et al., 2018). As usual, it also includes numerous bug fixes and minor improvements. At the same time, the we have tried to minimize changes to the user interface, so scripts that worked with NEST 2.14.0 should work with NEST 2.16.0 as well. One exception is that global spike detectors have been removed, but this should be relevant only for users on petascale machines. For a detailed list of changes, please see https://github.com/nest/nest-simulator/releases/tag/v2.16.0 The citation for NEST 2.16.0 is Linssen, Charl, Lepperød, Mikkel Elle, Mitchell, Jessica, Pronold, Jari, Eppler, Jochen Martin, Keup, Chrisitan, … Plesser, Hans Ekkehard. (2018, August 27). NEST 2.16.0 (Version 2.16.0). Zenodo. http://doi.org/10.5281/zenodo.1400175 We would like to encourage you to switch to NEST 2.16.0 as soon as possible and are looking forward to hearing about your experiences! On behalf of the NEST Initiative, I would like to thank all developers who have contributed to NEST 2.16.0 and especially our release managers Dennis Terhorst and Jochen Eppler for wrapping it all up! Best regards, Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

1 0

Human Neocortical Neurosolver: A new tool for circuit level investigation of MEG/EEG data
by Stephanie Jones Aug. 21, 2018

Aug. 21, 2018

We are excited to announce the first release of a new user-friendly software package for circuit level interpretation of human EEG/MEG data: Human Neocortical Neurosolver (HNN). The foundation of HNN is a computational neural model that simulates the electrical activity of the neocortical cells and circuits that generate the primary electrical currents underlying EEG/MEG recordings. HNN is a free open source package that was designed for researchers and clinicians, without computational neural modeling experience, to develop and test hypothesis on the circuit origin of their data. We provide tutorials on how to import your data and to begin to understand the underlying neural mechanisms. The tutorials focus on some of the most commonly measured signals, including event related potentials and low frequency alpha, beta and gamma rhythms. We are eager to help users get started and have developed a user forum for feedback and questions. HNN is distributed at https://hnn.brown.edu <https://hnn.brown.edu/>. HNN is being developed by a collaborative team at Brown, MGH and Yale. HNN developments are funded by the National Institute of Biomedical Imaging and Bioengineering through the BRAIN Initiative: Theories, Models, and Methods of Analysis of Complex Data from the Brain. ******************************************* Stephanie R. Jones, PhD - on behalf of the development team Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://www.brown.edu/research/labs/jones/

1 0

Full-time industry position: Computational Neuroscience / Neuromorphic Machine Learning
by Dylan Muir Aug. 17, 2018

Aug. 17, 2018

aiCTX is an ultra-low-power neuromorphic computing startup / spin-off of the Institute of Neuroinformatics of the University of Zurich and the ETH Zurich. aiCTX has an immediate opening for a Neuromorphic Machine Learning R&D Engineer We are looking particularly for comp. neurosci. researchers, with a background in theory and/or modelling of spiking neural networks. This position is for a full-time on-going contract, in Zürich Switzerland. We also have paid internships available for qualified candidates. Please see the job posting for more details, and to apply: http://bit.ly/aiCTX_job2 <http://bit.ly/aiCTX_job2>

1 0