- Comp-neuro - lists.cnsorg.org

Post-doc position in electrophysiology/neural coding at Columbia University
by Qi Wang Nov. 11, 2017

Nov. 11, 2017

A postdoc position is immediately available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate's qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu. -- ====================================== Qi Wang, Assistant Professor Department of Biomedical Engineering Columbia University ET 351, 500 W 120th Street New York, NY 10027 Email: qi.wang@columbia.eduhttp://neclab.bme.columbia.edu/ <qw2161(a)columbia.edu>

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support for Two PhD Fellows in Bilbao, Caixa Fellowship
by Jesus Cortes Nov. 10, 2017

Nov. 10, 2017

Dear colleague La Caixa Foundation has published the call for International PhD fellowships within the program "INPhINIT". This call is providing excellent working conditions for excellent international students. More information at https://obrasociallacaixa.org/el/investigacion-y-becas/progr ama-de-becas-de-posgrado/inphinit/programme-description We will be supporting 2 applicants, one associated to the project “Machine Learning, Neurological Disorders and Brain Networks” supervised by Jesus M Cortes and the other associated to the project "Multi-scale epileptic networks: a longitudinal structural-functional study of human epileptic networks combining deep electrode recordings and MRI" supervised by Paolo Bonifazi. Applicants must have a background in Mathematics, Physics or Engineering. The student will work in the Computational Neuroimaging Lab in Biocruces (Bibao) focused on developing and applying brain connectivity methods in combination with machine learning (such as supervised and unsupervised classification), modeling (neuron or circuit levels) and imaging processing of different imaging modalities (such as magnetic resonance imaging or electroencepaholography). The student will interact with Engineers, Physicists and Clinical Researchers. Further details and readings: To study brain functioning and disfunctioning, the Computational Neuroimaging Laboratory in Biocruces (Bilbao) is focused on brain networks at the macroscale, thus affecting to the large-scale brain organization. While diffusion images provide information about structural connectivity, functional magnetic resonance imaging shed light on resting state functional connectivity. In this project, the student will work with different datasets, some of them publicly available, others acquired in our laboratory, covering different pathologies such as autism, patients in coma, epilepsy, patients with multiorganic failure, neurodegeneration such as Alzheimer’s disease or Parkinson and psychiatric disorders. https://www.frontiersin.org/articles/10.3389/fnagi.2017.00215/full http://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00007 https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01024/full https://www.nature.com/articles/srep10532 Working conditions: 3-years contract, gross salary of about 26.000 euro - 28.000 euro per year, and an extra travelling and conference budget of about 3.500 euro per year. Applicant requirements: At recruitment date, candidates must have MSc degree and an English certification of minimum B2. In addition, candidates must not have residence in Spain longer than 12 months in the 3 years prior to recruitment date. Interested applicants contact to: Prof. Jesus M Cortes Ikerbasque Research Professor Head of the Laboratory of Computational Neuroimaging, Biocruces, Bilbao (Spain) Coordinator of the Quantitative Biomedicine Unit, Biocruces, Bilbao (Spain) Research Professor at the University of the Basque Country (Spain) http://www.jesuscortes.info jesus.m.cortes(a)gmail.com and/or Dr. Paolo Bonifazi Ikerbasque Tenure Track Professor Computational Neuroimaging Laboratory http://www.ikerbasque.net/es/paolo-bonifazi paol.bonifazi(a)gmail.com -- http://www.jesuscortes.info <http://jesuscortes.info> https://neurokafe.github.io/ https://thesciencebridge.org/

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Fully funded PhD Studentship in Biomedical Engineering
by Jayawan Wijekoon Nov. 9, 2017

Nov. 9, 2017

Fully funded PhD Studentship in Biomedical Engineering at the University of Manchester (through UK Medical Research Council Doctoral Training Partnership) is now open to UK and EU candidates. The successful candidate who have obtained, or be about to obtain, an undergraduate or Masters qualification in a relevant subject and should meet the minimum entry requirements of the School. The successful PhD student will help to develop a wearable fetal health monitoring vest to reduce stillbirths. The PhD student is expected to carry out electronic engineering or signal processing research. This multidisciplinary project is carried out with the collaboration of St Mary's Hospital, Manchester. For more details, please click the link given below. If you need further details, you can contact me (email: Jayawan.wijekoon(a)manchester.ac.uk<mailto:Jayawan.wijekoon@manchester.ac.uk>) directly. Web link to apply for the studentship<https://www.findaphd.com/search/projectdetails.aspx?PJID=89880>: https://www.findaphd.com/search/projectdetails.aspx?PJID=89880 The deadline for the application is 17th of November 2017. Kind regards, -- Dr. Jayawan Wijekoon Lecturer in VLSI Design & Digital Systems Design D31B, Sackville Street Building, School of Electrical and Electronic Engineering The University of Manchester, Manchester, M13 9PL, UK Tel. +44 (0)161 306 4736

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CFP: Special Issue on Crossmodal Learning
by Pablo Barros Nov. 9, 2017

Nov. 9, 2017

CALL FOR PAPERS Special Issue on Computational Models for Crossmodal Learning of the Cognitive Systems Research Journal. https://www.journals.elsevier.com/cognitive-systems-research/ I. Aim and Scope The ability of processing crossmodal information is a fundamental feature of the brain that provides a robust perceptual experience for an efficient interaction with the environment. Consequently, the integration of multisensory information plays a crucial role in autonomous systems to create robust and meaningful representations of objects and events. For dealing with real-world information, an autonomous, intelligent system must be capable of processing, integrating, and segregating different modalities for the purpose of coherent perception, decision-making, and cognitive learning. Recent neurophysiological findings in crossmodal learning have inspired novel computational models with the aim to trigger biologically inspired behavioral responses. A rich set of neural mechanisms support the integration and segregation of multimodal stimuli, providing the means to efficiently solve conflicts across modalities. This special issue aims to invite contributors from psychology, computational neuroscience, artificial intelligence, and cognitive robotics to discuss current research on crossmodal learning mechanisms both from the theoretical and modelling perspective. II. Potential Topics Topics include, but are not limited to: - New theories and findings on crossmodal processing - New neuroscientific results on crossmodal learning - Machine learning and neural networks for learning multisensory representations - Computational models of crossmodal attention and perception - Brain-inspired approaches for multisensory integration - Multisensory robot perception III. Submission Authors must use the Evise system to submit their contibutions, more informations can be found here: https://www.journals.elsevier.com/cognitive-systems-research/ *All manuscripts must be submitted to the Special Issue "VSI: Crossmodal Learning"* - Paper submission deadline: 09.02.2018 IV. Guest Editors Pablo Barros, University of Hamburg, Germany German I. Parisi, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany Bruno Fernandes, Universidade de Pernambuco, Brazil -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info

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Postdoc at Edinburgh - Visual navigation in ants
by Barbara Webb Nov. 9, 2017

Nov. 9, 2017

A research associate position is available in the Insect Robotics group in the School of Informatics at the University of Edinburgh to work on developing experimental and modelling tools as part of the BBSRC funded project “Visual navigation in ants: from visual ecology to brain”, in collaboration with the University of Sussex. Excellent skills in programming are essential and candidates with experience in developing experimental tools such as visual tracking and trackballs, in carrying out advanced analysis of experimental data, in image processing and analysis, will be preferred. Ideally, candidates would also be familiar with invertebrate brain and behaviour research, and/or have expertise in modelling of sensory and neural systems. The post is full time and fixed term for 36 months. The post is available from 1st January 2018. Salary: £32,548 - £38,833 per annum Informal enquiries can be addressed to: Professor Barbara Webb (b.webb(a)ed.ac.uk) Principal Investigator of the project. Further details and the application form can be found at the University of Edinburgh website: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobsp ec?p_id=041829 Closing Date: Wednesday 6th December 2017 at 5pm (GMT). -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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EPFL Simulation Neuroscience I - Enrol now on edX.org!
by Eilif Muller Nov. 9, 2017

Nov. 9, 2017

Dear Colleagues, I would like to bring to your attention a recently launched Massive Open Online Course (MOOC) on Simulation Neuroscience we are now offering on edX.org, leveraging the HBP Brain Simulation Platform. It is the first of 3 planned MOOCs through which we will teach students to construct and simulate data-driven microcircuits, like the Blue Brain cortical model. More details are below. Many thanks for forwarding to students who may be potentially interested. Best regards, Eilif ===== ANNOUNCEMENT ===== The Center for Digital Education of the École polytechnique fédérale de Lausanne (EPFL), Switzerland in cooperation with the Blue Brian Project is welcoming students to participate in a Massive Open Online Course (MOOC) entitled: Simulation Neuroscience I - Reconstruction of a single neuron Faculty: Prof. Henry Markram, Prof. Idan Segev, Prof. Sean Hill, Prof. Felix Schuermann, Samuel Kerrian, Lida Kanari, Werner Van Geit, Dr. Srikanth Ramaswamy, Dr. Eilif Muller Abstract: Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience. The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations. In a series of three courses, you will learn to use the state-of-the-art modelling tools of the Human Brain Project Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. This is the first course of the series that will teach you how to digitally reconstruct a single neuron. We invite you to join us and share in our passion to reconstruct, simulate and understand the brain! The course is targeted at senior bachelor, master or PhD students in science or engineering fields looking for an introduction to Simulation Neuroscience. It is a 6 week course, with an estimated course load of 5-7 hours per week. The course is open as of November 2nd, and is self-paced and can be started at any time. For more information: https://www.edx.org/course/simulation-neuroscience-epflx-simneurox ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits Task Leader - Community Engagement - HBP Brain Simulation SP EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller

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Postdoc positions available in Alex Pouget's lab
by Berk Gercek Nov. 9, 2017

Nov. 9, 2017

The laboratory of Alexandre Pouget, at the university of Geneva, will have one, possibly two, postdoc positions available in March 2018. Candidates with strong physics or math background, and with prior experience in computational neuroscience, are encouraged to apply. The topic of research will depend on the interest and profile of the candidate though the lab currently works on decision making, neural coding, probabilistic learning and probabilistic inference in neural circuits. One of these positions will be affiliated with the International Brain laboratory (see https://www.internationalbrainlab.com/) Candidates should send their CV to Alexandre Pouget at alexandre.pouget(a)unige.ch. -- ---------------------------------------- Berk Gercek Doctoral student, Pouget lab Université de Genève 1 rue Michel-servet 1205, Geneva, Switzerland

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RaPID 2018 Workshop @ LREC: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments
by Dimitrios Kokkinakis Nov. 8, 2017

Nov. 8, 2017

*[apologies for cross-postings]* *1st Call for Papers* RaPID 2018: "*Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments*" Half-day workshop at LREC2018 | Miyazaki, Japan | May 8th, 2018 Submission deadline: January 14th, 2018 (see also Important dates below) RaPID website: <https://spraakbanken.gu.se/eng/rapid-2018> The RaPID 2018 Workshop will follow up on the successful RaPID Workshop @ LREC2016 (<https://spraakbanken.gu.se/eng/rapid-2016>) *CALL FOR PAPERS:* RaPID-2018 will be an interdisciplinary forum for researchers to share information, findings, and experience on the creation and processing of data acquired or produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, Parkinsons or schizophrenia. Particularly, the workshop focus on the creation, annotation, description, processing and analysis of linguistic, paralinguistic and extra-linguistic resources (e.g., spontaneous spoken language; audio-recorded samples and transcripts; eye tracking measurements; wearable and in-situ sensor data etc.) from individuals at various stages of these impairments and with varying degrees of severity in order to identify, extract, process, correlate, evaluate and disseminate various linguistic phenotypes and measurements and thus aid the diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations (e.g., acoustic measures; phonological, syntactic and semantic features; eye tracking measurements; sensors, signs and multimodal signals). Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. *TOPICS OF INTEREST:* The topics of interest for the workshop session include but are not limited to: - Building, adapting and availability of linguistic resources, data sets and tools - Data collection methodologies - Acquisition and combination of novel data samples - Guidelines, annotation schemas, annotation tools - Addressing the challenges of representation, including dealing with data sparsity and dimensionality issues, feature combination from different sources and modalities - Domain adaptation of NLP tools - Acoustic/phonologic/phonetic, syntactic, semantic and pragmatic analysis of data; including modeling of perception (e.g. eye-movement measures of reading) and production processes (e.g. recording of the writing process by means of digital pens, keystroke logging etc.); use of gestures accompanying speech and non-linguistic behavior - Modeling and deep / machine learning approaches for early diagnostics, prediction, monitoring, classification etc. of various cognitive and psychiatric impairments - Information fusion - Evaluation of the significance of features in diagnostics - Evaluation of tools, systems, components, metrics, applications and technologies including methodologies making use of NLP - Evaluation, comparison and critical assessment of resources - Involvement of medical/clinical professionals and patients - Ethical and legal questions in research with human data in the domain, and how they can be handled - Deployment - Experiences, lessons learned and the future of NLP/AI in the area *SUBMISSION DETAILS:* Papers are invited in all of the areas outlined in the Topics of interest, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, NLP, and computer science. We welcome also papers discussing problems derived from the design of relevant data samples and populations, but also the exploitation of results and outcomes as well as legal and ethical questions on how to deal with such data and make it available. The workshop solicits papers describing original research. Papers may preferably describe substantial and completed work, but may also focus on a contribution, a negative result, an interesting application nugget, a software package, a small, focused contribution *or* work in progress. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research and challenges by bringing together researchers from various research communities. RaPID-2018 will be a half-day LREC workshop to be held in the afternoon of Tuesday the 8th of May 2018. The oral presentations will be allocated 10-20 minutes (please see the program for details), possibly, followed by a common poster session (depending on the volume of received submissions). Submitted papers must be formatted according to the camera-ready style for LREC 2018 (style guidelines, templates etc. for the camera-ready papers are provided on LREC's main conference page/Submission), and submitted electronically in PDF format through the START conference manager page [*to be announced soon*]. Authorship does not have to be anonymous and *papers should be 4-8 pages of content*. Additional, unlimited pages containing the list of references and appendices are allowed. We will strive to have all submissions reviewed by at least three, or more, members of the program committee. Depending on the volume of contributions, papers that describe systems or tools will be invited to give a demo of their system during a poster session. *IMPORTANT DATES:* - First call for papers: Monday, 6th of November, 2017 - Submission deadline: Sunday 14th of January, 2018 - Notification of acceptance: Saturday 10th of February, 2018 - Early-bird registration for the main conference *and* workshops is the 15th of February, 2018 - Camera-ready papers: Sunday 10th of March 2018 - RaPID Workshop: Tuesday 8th of May, 2018 *CONTACT:* Dimitrios Kokkinakis: dimitrios _DOT_ kokkinakis _AT_ gu _DOT_ se *ORGANIZING COMMITTEE:* - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Kristina Lundholm Fors, University of Gothenburg, Sweden - Kathleen Fraser, University of Gothenburg, Sweden - Charalambos Themistocleous, University of Gothenburg, Sweden - Graeme Hirst, University of Toronto, Canada - Alexandra König, Geriatric Hospital Nice and the University of Côte d'Azur, France - Frank Rudzicz, Toronto Rehabilitation Institute and the University of Toronto, Canada - Arto Nordlund, the Sahlgrenska Academy, University of Gothenburg, Sweden *PROGRAMME COMMITTEE**:* - Jan Alexandersson, DFKI GmbH, Germany - Eiji Aramaki, Kyoto University, Japan - Simon Dobnik, University of Gothenburg, Sweden - Jens Edlund, KTH - Royal Institute of Technology, Sweden - Gerasimos Fergadiotis, Portland State University, USA - Kathleen Fraser, University of Gothenburg, Sweden - Peter Garrard, St George's, University of London, UK - Lena Hartelius, the Sahlgrenska Academy, University of Gothenburg, Sweden - Graeme Hirst, University of Toronto, Canada - Kristy Hollingshead, Florida Institute for Human & Machine Cognition (IHMC), USA - Richard Johansson, University of Gothenburg, Sweden - Masatomo Kobayashi, IBM Research - Tokyo, Japan - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Alexandra König, Geriatric Hospital Nice and the University of Côte d'Azur, France - Peter Ljunglöf, Chalmers University of Technology, Sweden - Kristina Lundholm Fors, University of Gothenburg, Sweden - Arto Nordlund, the Sahlgrenska Academy, University of Gothenburg, Sweden - Marcus Nyström, University of Lund, Sweden - Paul Rayson, Lancaster University, UK - Vassiliki Rentoumi, SKEL, NCSR Demokritos, Greece - Fabien Ringeval, Université Grenoble Alpes, France - Frank Rudzicz, Toronto Rehabilitation Institute and the University of Toronto, Canada - Kairit Sirts, University of Tartu, Estonia - Hironobu Takagi, IBM Research - Tokyo, Japan - Charalambos Themistocleous, University of Gothenburg, Sweden - Athanasios Tsanas, University of Oxford, UK - Spyridoula Varlokosta, National and Kapodistrian University of Athens, Greece - Åsa Wengelin, University of Gothenburg, Sweden -

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Computational Neuroscience of Prediction: Upcoming Brain Conference
by Mihaela Vincze Nov. 8, 2017

Nov. 8, 2017

Dear Colleague, We would like to bring to your attention the upcoming Brain Conference on *Computational Neuroscience of Prediction <http://www.fens.org/Meetings/The-Brain-Conferences/The-Computational-Neuros…> *(Rungstedgaard, Denmark, 15-18 April) organised by *- Peter Dayan* (UCL, UK) and *- Kerstin Preuschoff* (Univ. of Geneva and EPFL, Switzerland) If interested, we would welcome your application. Kindly note the end of early application on *20 January. * The short talk presenters and 15 stipend awardees will be selected following the regular registration deadline (of 14 Feb). For reference, detailed information (speakers, application overview etc.) is available on the Brain Conference page. <http://www.fens.org/Meetings/The-Brain-Conferences/The-Computational-Neuros…> Please also feel free to disseminate information about this Brain Conference among your network. With kind regards, The Brain Conferences team *FENS* - Federation of European Neuroscience Societies 11 Rue d’Egmont, 1000 - Brussels, Belgium T: +32 2 545 04 06 E: mihaela.vincze(a)fens.org http://www.fens.org

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MCAA Academy: Call for Mentors
by Jolivet, Renaud Nov. 8, 2017

Nov. 8, 2017

Dear list, Please find below a call for mentors for a new program of the Marie Curie Alumni Association (MCAA) affiliated with EU institutions. MCAA Academy is a new program to support the career development of its members. Mentoring is at the core of the program. Our advanced mentoring platform provides a continuous, full-spectrum learning experience, allowing mentees to focus on the skills that matter the most, when they matter the most. We are seeking outstanding professionals to mentor MCAA members using this platform. Mentors are expected to have achieved an advanced stage in their career and be willing to provide leadership and advice to our members. The program will run for 6 months and will require up to 1 hour face time per month. Mentors and mentees will be matched according to their skills, interests and career goals. Do you want to become a mentor? Complete the registration form at https://www.mariecuriealumni.eu/form/mcaa-academy-call-mentors. Want to know more about the Marie Curie Alumni Association, visit https://www.mariecuriealumni.eu/. Regards, Renaud Jolivet — Prof. Renaud Jolivet University of Geneva, Physics Section CERN, Experimental Physics Department +41 79 830 2129 (mobile) +41 22 379 6275 (UNIGE) +41 22 767 2470 (CERN) renaud.jolivet(a)unige.ch<mailto:renaud.jolivet@unige.ch> linkedin.com/in/renaud-jolivet-63b5534<http://linkedin.com/in/renaud-jolivet-63b5534> http://unige.ch/dpnc/en/groups/renaud-jolivet/home/ https://scholar.google.ch/citations?user=9Ozwv7EAAAAJ&hl=en

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EPSRC funded PhD in Computational/Mathematical Neuroscience (funded for UK students)
by James Rankin Nov. 7, 2017

Nov. 7, 2017

*3 EPSRC funded PhD positions in Computational & Mathematical Neuroscience* UK students (or students who have spent last 3 years in UK) fully funded (fees and stipend) EU students partially funded (fees but no stipend) International students not eligible Application deadline: 10th January 2018 The studentships will provide funding for a stipend which is currently £14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. * The neural circuitry mediating multisensory integration in Platynereis larvae* Supervisors: Dr James Rankin and Prof Gáspár Jékely (Living Systems Institute, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2901 * Cortical network models to understand differential input response properties during active and silent states* Supervisors: Dr James Rankin and Dr Mick Craig (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2903 * Determination of parameter dependencies across diverse populations of neuronal and excitable cells* Supervisors: Dr James Rankin and Dr Joel Tabak (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2932 Apply through links above or contact pgrenquiries(a)exeter.ac.uk or j.a.rankin(a)exeter.ac.uk directly with any questions. -- <comp-neuro(a)neuroinformatics.be> http://emps.exeter.ac.uk/mathematics/staff/jar226

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Postdoc Position Available - Human Intracranial Electrophysiology
by Woolnough, Oscar Nov. 7, 2017

Nov. 7, 2017

Postdoctoral Research Positions Available Postdoctoral research positions are available at the NeuroImaging and Electrophysiology Lab (www.tandonlab.org) in the Department of Neurosurgery at the University of Texas Medical School in Houston. One position is funded by a recently awarded BRAIN Initiative U01 grant. The project uses electrocorticographic (ECoG) recordings to evaluate psycho-linguistic models of reading and speech production to create network level representation of language. Collaborators on the project with whom the post-doc will work closely are Nathan Crone (Hopkins), Greg Hickok (UCI), Stanislas Dehaene (College de France), Xaq Pitkow (Baylor) and Josh Breier (UT Houston). A second position is internally funded and will use existing ECoG data, electrical cortical stimulation mapping data and lesional analysis to probe the relationship between electrophysiology and causality. Project Description: This is a project brings together multiple modalities - intracranial EEG (iEEG) recordings, fMRI, lesional analysis, brain mapping and computational neuroscience to better understand the uniquely human behaviors of reading and speech production. More details about the U01 grant are online at NIH Reporter; details about the lab are at www.tandonlab.org. The post-docs will benefit from a close interaction with several expert collaborators in the fields of reading, semantics, and speech production. Post-doc Responsibilities: The selected individuals are expected to be highly motivated, team players with a passion to study cognitive processes using direct recordings in humans. He or she will be responsible for 1) optimizing and refining paradigms for use in the project, 2) data collection in the epilepsy monitoring unit and in the MRI scanner, 3) ECoG, cortical mapping and lesional data analysis using analysis pipelines existent in the lab and via the development of innovative strategies, and 4) data presentation at conferences, manuscript and grant writing. Requirements: The selected individuals must have a Ph.D. in one or more of the following - neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis or functional imaging studies of reading or language production is highly desirable. Crucial is the ability to independently code in either or all of the following – MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individuals must possess high ethical and professional standards. The individuals must possess the ability to work effectively independently, yet collaborate effectively on projects with multiple investigators. Publication records and prior academic credentials may also factor into hiring decisions. If you are interested, please email nitin.tandon(a)uth.tmc.edu<mailto:nitin.tandon@uth.tmc.edu> or call (713) 500-5475.

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SfN 2017: Visit the Bernstein Network Computational Neuroscience at booth #3523
by Alexandra Stein Nov. 7, 2017

Nov. 7, 2017

Dear all, The Bernstein Network Computational Neuroscience [6] will be an exhibitor at the SfN Meeting 2017. Please find us at the NEUROSCIENCE IN GERMANY booth #3523. The Bernstein Network will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities Furthermore, the German Neuroinformatics Node (G-Node) [7] will present their data management services [8] for organizing, sharing, and publishing research data. Demo presentations times are: Monday, Tuesday, Wednesday (Nov 13, 14, 15) 3pm - 5pm, or by individual appointment (mail to info(a)g-node.org<mailto:info@g-node.org>). We are looking forward to welcoming you at booth #3523! Best regards Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Post-doctoral position in the area of Neuroscience and AI, Kyoto University, Japan
by Hideaki Shimazaki Nov. 7, 2017

Nov. 7, 2017

A postdoc opportunity in the area of Neuroscience and AI is available at Kyoto University in Japan The lab of ‘cooperative intelligence’ was launched in the Dept. of Intelligence Science and Technology at Kyoto University in Japan since April 2017. This is a part of collaborative research activities between the department and Honda Research Institute Japan Co. Ltd. toward realizing a better society with humans and machines living together. In order to achieve this goal, our group strives to understand theoretical principles of organisms’ perception and behavior in adapting to environment, and apply these principles to machines. We aim at strengthening computational and statistical approaches to neuroscience (See references below) and extend the knowledge to create intelligent machines. A postdoc position is available for this research area. Our lab is located in a historic building at the main campus of Kyoto University. Kyoto is one of the oldest cities in Japan with a full of historic monuments. The academic and culturally rich environment of Kyoto is suitable for conducting creative research activities. Place: Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University Period: Present - 2020/3/31 Deadline of application: 2017/11/30 Please check the following URL for further information: https://drive.google.com/file/d/0B0HpHsDtiVezSFYxMVNYekFXWGc/view?usp=shari… To apply, please send a CV, a statement of research interest (maximum 2 pages), and contact information of two references to h.shimazaki(a)i.kyoto-u.ac.jp. Feel free to send any informal questions regarding this post. Sincerely, Hideaki Shimazaki, PhD Program-specific Associate Professor at Kyoto University Senior Scientist at Honda Research Institute Japan Email: h.shimazaki(a)i.kyoto-u.ac.jp Lab webpage: http://ci.ist.i.kyoto-u.ac.jp/index.php?id=10 Personal webpage: http://www.neuralengine.org --------------------- Refs: Donner C, Obermeyer K, Shimazaki H. Approximate inference for time-varying interactions and macroscopic dynamics of neural populations. PLoS Computational Biology (2017) 13(1): e1005309 Shimazaki H. Neurons as an Information-theoretic Engine. arXiv:1512.07855 (2015) (to appear as 'Neural Engine Hypothesis' in Ed. Chen and Sarma 'Dynamic Brain', Springer.) Shimazaki H, Amari S, Brown EN, and Gruen S, State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. PLOS Computational Biology (2012) 8(3): e1002385

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COSYNE 2018: Abstract submission closes soon, Registration, Travel grants
by Tomas Hromadka Nov. 7, 2017

Nov. 7, 2017

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. *Abstract submission deadline: 20 November 2017* Online registration opens: 10 November 2017 Travel grant submission opens: 10 November 2017 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer four travel grant programs for New Attendees, Presenters, Mentors, and Undergraduates. For details on applying, see Cosyne.org -> Travel grants. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Position in computational neuroanatomy at the Allen Institute
by Nuno da Costa Nov. 6, 2017

Nov. 6, 2017

Dear comp-neuro list members, We are seeking a scientist to work on the analysis of large scale electron microscopy datasets and to investigate the relationship between structure and function of cortical networks. The scientist will be an essential member of the Neural Coding team studying the relationship between neural circuits and neural dynamics by combining in vivo functional imaging with ex vivo state of the art Electron Microscopy in the visual cortex of mice. If you are interested on know of someone that is interested, the application link is: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=639564&… Many thanks and kind regards Nuno Nuno Macarico da Costa Assistant Investigator T: 206.548.8437 [cid:image001.png@01D356E8.F5D70FF0] www.alleninstitute.org<http://www.alleninstitute.org/>

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postdoc in statistical neuroscience of human language
by xaq pitkow Nov. 6, 2017

Nov. 6, 2017

Postdoctoral research position in neuroscience of Human Language POSITION: We seek a highly motivated postdoctoral research fellow for a collaborative team project interpreting intracranial recordings from human patients during language tasks. The fellow will apply statistical models to this neural data, and will help develop a dynamic network model of language. TEAM: The fellow will collaborate primarily with Houston-based neurotheorist Xaq Pitkow (xaqlab.com) and neurosurgeon Nitin Tandon (tandonlab.org) and our labs, and will also interact with other team members including Nathan Crone, Stan Dehaene, and Greg Hickok. The fellow will be a member of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, expertise in statistical machine learning, and interest in language processing. APPLYING: Applicants should email a letter of research interests and CV to Xaq Pitkow (xaq(a)rice.edu) along with contact information for three references. We look forward to hearing from you!

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Call for Participation: IEEE Brain Data Bank Competition – Boston
by Sam Michalka Nov. 5, 2017

Nov. 5, 2017

*Call for Participation: IEEE Brain Data Bank Competition – Boston* The IEEE Brain Initiative is sponsoring several challenges and competitions in 2017 to explore various brain/neuro datasets. You are cordially invited to explore the data and register for this competition in Boston on December 9th 9:45 AM – 4 PM. For more information about the event and how to register, please visit https://brain.ieee.org/news/call-participation-ieee-brain- data-bank-challenge-boston/ *Location* Charles River Analytics 625 Mt. Auburn St. <https://maps.google.com/?q=625+Mt.+Auburn+St.+%0D+Cambridge,+MA,+USA&entry=…> Cambridge, MA, USA Organizers * Seth Elkin-Frankston, Charles River Analytics * Sam Michalka, Olin College of Engineering * Wasim Q. Malik, Harvard/MIT If you have questions, please contact bdb-boston(a)ieee.org *Purpose* The aim of the competition is to bring a diverse group of individuals of varying backgrounds and experience together to analyze, visualize, and evaluate complex datasets. Competitors will have access to a multi-modal dataset that will challenge individuals with varying backgrounds in data science, computer science, biology, or neuroscience. Results will be evaluated on analytic approach, visualization, and final presentation and interpretation. *Background* Datasets are provided by the University of Illinois at Urbana–Champaign and were collected as part of a broader intervention-based study designed to test the effects of efficacy of interventions designed to enhance fluid intelligence. This study was one of several funded as part of the Strengthening Human Adaptive Reasoning and Problem-solving (SHARP< https://www.iarpa.gov/index.php/research-programs/sharp>) program at the Intelligence Advanced Research Projects Activity (IARPA< https://www.iarpa.gov/>). This specific intervention involved 48 training sessions of an adaptive visuo-spatial and change detection task. We provide both behavioral measures and neuroimaging data at pre- and post-intervention time points. We also provide summary and session-level descriptions of the training data collected during the intervention. *Challenge Questions* The goal of this challenge is to encourage thoughtful investigation and discussion around enhancement of human intelligence and strategies for rigorous investigation of these topics. Entries will be judged in three categories: data analysis, data visualization, and presentation and interpretation of findings. Participants can investigate any question(s) about the data that they wish. The following guiding questions are provided as a jumping off point: * Can intervention training predict changes in pre- and post-intervention performance? * How do measures of brain connectivity and structure relate to performance in intervention training? * How do measures of brain connectivity and structure relate to pre- and post-intervention performance? * How well can we predict post-intervention performance? Beyond pre-intervention performance, what factors serve as the best predictors? * Do performance changes on the two training intervention tasks differ? How do they each relate to changes in pre- and post-intervention performance and/or imaging data? *Data* Data is hosted by the IEEE Dataport<https://ieee-dataport.org/competitions/ ieee-brain-data-bank-competition-boston-ma>. To access IEEE Dataport, you need to have an IEEE account. You do not need to be an IEEE member to create an IEEE account, and you can use your own email address to create an account and password. Click here to sign up for an IEEE account.< https://www.ieee.org/profile/public/createwebaccount/showRegister.html> The full dataset is 11.29GB. The dataset can be downloaded in full, or in more manageable chunks separated as: * Behavioral and analyzed fMRI/DTI data * Structural T1 images * Raw resting-state fMRI data (divided in 5 file groups) * Raw DTI data Please note that access from IEEE DataPort will be granted after you have completed an access request. *Judging* Judges will include experts from Industry, Government, and Academia. Entries will be judged in three categories: * Data analysis including well-justified, innovative, and rigorous methodologies * Data visualization including novel, highly informative, and aesthetically appealing visualization techniques * Presentation and interpretation of findings including clear, informative delivery and compelling investigation and interpretation *Awards* IEEE Brain will sponsor cash awards. More details will follow.

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from normal learning and recognition to Alzheimer's disease
by Stephen Grossberg Nov. 4, 2017

Nov. 4, 2017

Dear Colleagues, I am writing to call your attention to the following article because the neural model that it describes links normal category learning and recognition to clinical disorders such as autism and Alzheimer’s disease, topics that are currently of great interest and concern. The clinical links emerged after the neural dynamics of vigilance control during normal category learning was sufficiently understood. Grossberg, S. (2017). Acetylcholine neuromodulation in normal and abnormal learning and memory: Vigilance control in waking, sleep, autism, amnesia, and Alzheimer’s disease. Frontiers in Neural Circuits, November 2, 2017, https://doi.org/10.3389/fncir.2017.00082 <https://doi.org/10.3389/fncir.2017.00082> Best, Steve Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg <http://en.wikipedia.org/wiki/Stephen_Grossberg> http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en <http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en>https://youtu.be/9n5AnvFur7I <https://youtu.be/9n5AnvFur7I> Wang Professor of Cognitive and Neural Systems Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve <http://cns.bu.edu/~steve> steve(a)bu.edu <mailto:steve@bu.edu>

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Fw: two postdoctoral positions in the Canavier Lab
by Canavier, Carmen C. Nov. 3, 2017

Nov. 3, 2017

The contact information for these positions has been updated. Please contact Carmen Canavier ccanav(a)lsuhsc.edu with any questions. Two Postdoctoral Researcher positions are available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the basal ganglia for the first position and of the hippocampus for the second position. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. The first position is to study the dynamic diversity of midbrain dopamine neurons in close collaboration with electrophysiologist Jochen Roeper at Goethe University in Frankfurt, Germany. The successful candidate will construct morphologically and biophysically realistic models of distinct subpopulations of dopamine neurons to account for experimentally observed differences in their bursting and pacemaking dynamics. These simulations will require in some cases incorporation of stochastic channel models and second messenger cascades. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…. The second position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1… LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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Late Bird call for the AoN Brainhack Warsaw [17-19th November 2017]
by Daniel Borek Nov. 2, 2017

Nov. 2, 2017

*AoN Brainhack Warsaw 2017* *November 17-19, 2017* *University of Warsaw, Warsaw, Poland* *— The blitz Late Bird registration open until 7th November 2017 —* On the weekend of *17-19th November 2017*, the first edition of AoN Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on* neuroscience-related projects*. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community ( <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x> Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. Attendees of various backgrounds are welcome to join! At the moment we are opening the Late Bird registration for project participants, which closes on 7th November 2017. Some of the projects got fully booked already and since they have limitations in terms of the number of participants, these projects have been closed for this round of registration. Please look at the list of the currently available projects : - Functional connectivity research: can we find a common ground? <https://brainhackwarsaw.github.io/#connectivity> - Development of video game for studying joint action dynamics <https://brainhackwarsaw.github.io/#game> - Hypothesis-driven white matter tractography from T1-weighted MRI images <https://brainhackwarsaw.github.io/#whitematter> - One channel EEG sleep staging with open source and open hardware NeuroOn sleep mask <https://brainhackwarsaw.github.io/#neuroon> - Building and using the “FlyPi”: the 3D-printed Neurobiology Lab <https://brainhackwarsaw.github.io/#flypi> - Unfolding the Subcortex <https://brainhackwarsaw.github.io/#subcortex> *All the applications which we received after the end of Early Bird phase, will be automatically considered as the Late Bird applications.* The applications will be reviewed and the notification of acceptance will be sent to the applicants until 10th October2017. A registration fee of *30EUR* (or 120PLN) will be requested upon acceptance. The registration fee will be spent on the catering during the event. In order to register, please visit our website and learn more about AoN Brainhack Warsaw! https://brainhackwarsaw.github.io/ <https://brainhackwarsaw.github.io/> We are looking forward to see you in Warsaw! *The AoN Brainhack Warsaw 2017 team*

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Post-doctoral Position in Computational Neuroscience
by sujith vijayan Nov. 2, 2017

Nov. 2, 2017

*Post-doctoral Position in Computational* *Neuroscience* The Neural Dynamics and Neural Engineering Lab at Virginia Tech has an opening for a post-doctoral position in computational neuroscience. This position is for three years and is being funded by the Army Research Office (ARO). The research project will involve employing biophysically based computational models to examine the role of rhythmic activity in the expression of emotional memories during behavior and their consolidation during sleep. An additional aim is to employ the newly developed models to gain insight into the pathophysiology of post-traumatic stress disorder (PTSD). Our lab investigates neural dynamics during active behavior and during off-line states, such as sleep, using a combination of computational modeling, signal processing techniques, and both invasive and non-invasive techniques for recording neural activity. The basic science knowledge gathered from these investigations is leveraged to understand how memories are instantiated in the brain, to gain insight into how learning occurs during brain machine interface (BMI) tasks, to improve BMI algorithms, and to develop the framework for stimulation and pharmacological therapies for diseases, especially those marked by abnormal neural dynamics during sleep (e.g., post-traumatic sleep disorder (PTSD) and Parkinson’s disease). Please see the lab website (www.vijayan.neuroscience.vt.edu) for more details. Candidates should have a Ph.D. in applied mathematics, computer science, engineering, neuroscience, psychology, or a related field. Strong programming skills and/or prior experience in modeling would be an asset. Interested candidates should send a CV, a statement of research interests, and the contact information for three references to svijayan9(a)gmail.com. Arrangements can be made to meet with candidates at the Society for Neuroscience conference in Washington, D.C. Sujith

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Submission deadline extended for the 15th International Multi-Conference on Systems, Signals and Devices SSD' 2018
by Nabil Derbel Nov. 1, 2017

Nov. 1, 2017

This email is a reminder for submitting your proposition to SSD'18 Our apologies if you receive multiple copies of this message. Dear Colleagues, <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=622c400fe7&e=415348fdfa> 15th International Multi-Conference on <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=5b2423bda6&e=415348fdfa> Systems, Signals and Devices SSD' 2018 March 19-22, 2018, Hammamet-Tunisia The International Multi-Conference on Systems, Signals and Devices 2018 will be held on March 19-22, 2018 in Hammamet - Tunisia. The SSD′2018 conference is an international forum dedicated to researchers and specialists in different fields of electrical engineering. It brings together scientists and practitioners from research organizations, universities and companies in a multidisciplinary event, with the aim of strengthening links between researchers of different specialties. This event will provide the opportunity to share together the latest achievements in systems and control. Both theoretical and applied papers are welcomed for submission to this event. Accepted and presented papers during the conference will be published in IEEEXplore. Authors of best papers presented at SSD conference will be offered an opportunity to publish their works in followed international books and in the following international journals: *Advances in Systems, Signals and Devices (ISSN 2365-7507, published by De Gruyter) *International Journal of Digital Signals and Smart Systems (ISSN 2389-0311, Inderscience). We would invite you to submit your recent research via SSD′2018 website ( <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=ba2f080a77&e=415348fdfa> Submission), or directly through EDAS the manager of the conference <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=51f907b252&e=415348fdfa> http://edas.info/N24004. In order to give more success to our Conference, I will be so grateful if you diffuse the Call for Papers of SDD′2018 and the website URL ( <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=abb75c66e2&e=415348fdfa> Call_for_Papers_SDD 2018) to your colleagues and Email contacts. The important dates are: Deadline for paper submission: November 30th, 2017. Notification of Acceptance: January 15th, 2018. Final paper manuscripts: January 31th, 2018. To write your paper, please respect the IEEE templates for LATEX formats or Microsoft Word that may be found at: <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=85b8beb6c0&e=415348fdfa> http://www.ieee.org/ conferences_events/ <https://the-it-expert.us12.list-manage.com/track/click?u=65343825ebc55cbfc5 5959332&id=8fe8bcc4c7&e=415348fdfa> conferences/publishing/ templates.html Best Regards For the organization committee

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Nov. 1, 2017

Nov. 1, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 – 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning." Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) 30 September 2017 * Tutorial and workshop proposals (Decision) 7 October 2017 * Paper submission 1 December 2017 * Decision notification 8 January 2018 * Camera-ready submission 2 February 2018 * Conference 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong * Ari Santoso, Ministry of Education and Culture ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za’in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA

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Postdoctoral position on modelling and neural analysis of perceptual decision-making at IDIBAPS / UPF (Barcelona)
by Alexandre Hyafil Oct. 31, 2017

Oct. 31, 2017

A postdoctoral research position in computational neuroscience is available immediately to work with Jaime de la Rocha at IDIBAPS (Barcelona) and Alexandre Hyafil at the Universitat Pompeu Fabra (Barcelona). The postdoctoral fellow will be a vital member of the interdisciplinary research team led by Jaime de la Rocha that studies perception and cognition using combined theoretical and experimental approaches. More specifically, the fellow's work will be part of an ERC-funded project aiming to unravel the behavioural principles and the neural mechanisms underlying how recent experience shapes perception and guides decisions. The fellow will (1) characterize the behavioural influence of recent history onto perceptual choices in rats and humans performing acoustic discrimination tasks, (2) analyze population recordings from cortical neurons obtained from rats to uncover the traces of recent history decision biases and (3) build dynamical models of behaviour based on the population recordings using a variety of machine learning tools. Behavioural and neural data is currently being acquired by other researchers in the lab. The work will be co-supervised between Jaime de la Rocha, head of the Cortical Circuit Dynamics Group (http://neuro.fcrb.es/delaRochaLab/) and Alexandre Hyafil who is establishing his new laboratory in the nearby UPF, and has in the last years develop a set analysis techniques fitted for our data. Both groups are part of the vibrant computational neuroscience community of Barcelona, which promotes the interaction among groups by organizing multiple internal activities. Applicants should have a strong background in computational neuroscience or applied mathematics and have a keen interest in interdisciplinary approaches that integrate modeling and experimental research. Programming proficiency (Matlab and/or Python) is required. Experience in machine learning methods, advanced statistics as well as nonlinear dynamical systems will be valued. Ability to collaborate in a pluridisciplinary team is essential. Initial appointment for this position is for two years. The salary is competitive and negotiable depending on the candidate's experience. Review of applications will begin immediately and will continue until the position is filled. Applicants, please send a resume, names and contact of 3 references and a cover letter explaining your interest and research experience to jrochav(a)clinic.cat and alexandre.hyafil(a)gmail.com. Do no hesitate to make informal contact first.

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