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Computational Neuroscience of Prediction: Upcoming Brain Conference

by Mihaela Vincze

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

Nov. 8, 2017

MCAA Academy: Call for Mentors

by Jolivet, Renaud

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

Nov. 8, 2017

EPSRC funded PhD in Computational/Mathematical Neuroscience (funded for UK students)

by James Rankin

*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

Nov. 7, 2017

Postdoc Position Available - Human Intracranial Electrophysiology

by Woolnough, Oscar

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.

Nov. 7, 2017

SfN 2017: Visit the Bernstein Network Computational Neuroscience at booth #3523

by Alexandra Stein

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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Nov. 7, 2017

Post-doctoral position in the area of Neuroscience and AI, Kyoto University, Japan

by Hideaki Shimazaki

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

Nov. 7, 2017

COSYNE 2018: Abstract submission closes soon, Registration, Travel grants

by Tomas Hromadka

==================================================== 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.

Nov. 6, 2017

Position in computational neuroanatomy at the Allen Institute

by Nuno da Costa

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/>

Nov. 6, 2017

postdoc in statistical neuroscience of human language

by xaq pitkow

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!

Nov. 6, 2017

Call for Participation: IEEE Brain Data Bank Competition – Boston

by Sam Michalka

*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.

Nov. 5, 2017

from normal learning and recognition to Alzheimer's disease

by Stephen Grossberg

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>

Nov. 4, 2017

Fw: two postdoctoral positions in the Canavier Lab

by Canavier, Carmen C.

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.

Nov. 3, 2017

Late Bird call for the AoN Brainhack Warsaw [17-19th November 2017]

by Daniel Borek

*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*

Nov. 2, 2017

Faculty position in Math Biology at NJIT

by Victor Matveev

Dear comp-neuro list members, The Department of Mathematical Sciences (DMS) at New Jersey Institute of Technology (NJIT) invites applications for a tenure-track position at the assistant professor level in mathematical biology. A second DMS tenure-track assistant professor position in the broader area of applied mathematics is advertised separately (links provided below). The appointment is to start in Fall 2018. Candidates should have a Ph.D. in mathematics, applied mathematics or a related discipline, with an established record of independent research, strong potential for seeking external research support, and a commitment to teaching at graduate and undergraduate levels. Candidates working in any subfield of mathematical biology will be given consideration. Currently, members of the DMS mathematical biology group are engaged in research in computational neuroscience, biological rhythms, biofluids and mechanosensing. To apply, please visit https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=35 The second position in applied mathematics is advertised separately at https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=30 Submissions must include (a) cover letter, (b) resume/CV, (c) research statement, (d) teaching statement, and (e) names and contact information for at least four references. Review of applications will begin immediately and will continue until the position is filled. Please direct any questions to the search committee chair, Victor Matveev, at matveev(a)njit.edu. DMS is recognized for its strong program in applied mathematics, which offers B.S., M.S., and Ph.D. degrees, with Ph.D. program tracks in applied mathematics as well as in applied probability and statistics. NJIT is in the University Heights neighborhood next to vibrant downtown Newark, about 12 miles west of New York City. The NJIT campus is adjacent to the campus of Rutgers-Newark, with which it shares several academic programs. DMS has close collaborative ties to the Department of Biological Sciences at NJIT. Excellent potential for outside collaboration is also afforded by the close geographic proximity of NJIT to other prominent centers for biological research such as the Center for Molecular and Behavioral Neuroscience at Rutgers-Newark, New Jersey Medical School, NYU, Columbia University, and Rockefeller University. Apart from mathematical biology, DMS faculty work in diverse fields of applied mathematics including fluid dynamics, granular matter, nonlinear waves, applied analysis, scientific computing, dynamical systems, and probability and statistics. NJIT is an Equal Opportunity / Affirmative Action Employer and strongly encourages women, minorities, and persons with disabilities to apply. -- ___________________________________ Victor Matveev, Professor Applied Math, Biophysics & Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

Nov. 2, 2017

Post-doctoral Position in Computational Neuroscience

by sujith vijayan

*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

Nov. 2, 2017

Submission deadline extended for the 15th International Multi-Conference on Systems, Signals and Devices SSD' 2018

by Nabil Derbel

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

Nov. 1, 2017

[INNS-BDDL 2018] Call for Papers

by Teng Teck Hou

[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

Nov. 1, 2017

Postdoctoral position on modelling and neural analysis of perceptual decision-making at IDIBAPS / UPF (Barcelona)

by Alexandre Hyafil

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.

Oct. 31, 2017

UW-Milwaukee: 2 Faculty Positions

by Adam S Greenberg

We're hiring two tenure-track Assistant Profs in Milwaukee! You'd be part of our growing Psychology department at the University of Wisconsin-Milwaukee. Application review for both positions begins on 12/20/17. More info at the links below. Assistant Professor - Neuroscience - https://jobs.uwm.edu/postings/26876 Assistant Professor - Clinical Psychology - https://jobs.uwm.edu/postings/26877 Thanks, Adam ___________________________ Adam Greenberg, Ph.D. Assistant Professor University of Wisconsin-Milwaukee Department of Psychology P.O. Box 413 Milwaukee, WI 53201 email: agreenb(a)uwm.edu<mailto:agreenb@uwm.edu> Tel. (414) 229-1106 Fax (414) 229-5219 http://www.snaplaboratory.com/ Twitter: @SNAPLabUWM ___________________________

Oct. 31, 2017

Post-doctoral Research Associate in Computational Neuroimaging in Dementia

by Wong-Lin, Kongfatt

A 3.5 year fixed term post-doctoral research associate in Computational Neuroimaging post is available at the Intelligent Systems Research Centre, University of Ulster. The post-doctoral candidate will be involved in the new EU funded Centre for Personalised Medicine, Clinical Decision Making & Patient Safety Project. More specifically, s/he will work as part of a multidisciplinary team focused on dementia within the Centre and perform analysis and modelling of brain imaging and related data in dementia. All applicant should hold a degree in Computational Neuroscience/Biology/Sciences, Computing, Engineering, Physical Sciences, Bioinformatics, Mathematics, Statistics, Neuroscience, Data Sciences, or a cognate area. The successful applicant will be based primarily at the Intelligent Systems Research Centre, which also houses the NI Functional Brain Mapping Facility, and will have opportunities to interact with other related research teams and clinicians. Interested applicants are welcomed to apply at: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY4NzUzOCZ2dF90… Potential applicants may contact me for further inquiry. Please note that the application deadline is on the 15th November. --------------------------- Dr. KongFatt Wong-Lin University of Ulster, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Oct. 30, 2017

PhD position in computational modeling of hippocampal neurons

by Peter Jedlicka

A PhD position is available to work with Peter Jedlicka (Justus Liebig University Giessen and Goethe-University Frankfurt) in a project aimed at computational modeling of hippocampal neurons. The PhD student will be involved in the generation and implementation of computational models focusing on synaptic plasticity and excitability of hippocampal neurons. The student will be using computer models to reproduce/predict data from electrophysiology experiments and developing simulation tools contributing to 3R animal protection strategies. The successful candidate should have a background in physics, mathematics, engineering, computational neuroscience, computational biology or a related field. Experience in scientific programming is necessary. Experience with compartmental modeling is a plus. The project includes morphological modeling in close collaboration with Dr. Hermann Cuntz (FIAS and Ernst-Strüngmann Institute, Frankfurt). The successful candidate will also collaborate with experimental and computational labs in Giessen and Frankfurt. Please submit your application, CV and statement of research interests to: Prof. Dr. Peter Jedlicka (Peter.Jedlicka(a)informatik.med.uni-giessen.de) Computer-Based Modeling in the field of 3R Animal Protection, Faculty of Medicine, Justus-Liebig-University, Giessen The project is related to these recent publications: Platschek S, Cuntz H, Vuksic M, Deller T, Jedlicka P. A general homeostatic principle following lesion induced dendritic remodeling. Acta Neuropathol Commun., 4:19 2016 Jedlicka P, Benuskova L, Abraham WC. A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo. PLoS Comput Biol. 11(11):e1004588, 2015 Beining M, Jungenitz T, Radic T, Deller T, Cuntz H, Jedlicka P, Schwarzacher SW. Adult-born dentate granule cells show a critical period of dendritic reorganization and are distinct from developmentally born cells. Brain Struct Funct. 222:1427-1446, 2017 -- Prof. Dr. Peter Jedlicka Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus-Liebig-University Rudolf-Buchheim-Str. 6 D-35392 Giessen

Oct. 29, 2017

PhD position in Reinforcement Learning and Decision Making under Uncertainty

by Obermayer, Klaus, Prof. Dr.

Neural Information Processing Group, Fakultät IV, Technische Universität Berlin & Bernstein Center for Computational Neuroscience 1 PhD Position Reinforcement Learning and Decision Making under Uncertainty The successful candidate is expected join collaborative projects at the interface between computational neuroscience and machine learning (research topics: reinforcement learning and decision making under uncertainty). The position is affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group (http://www.ni.tu-berlin.de/) Starting date: January 1st, 2018 Salary level: E-13 TV-L The position is for a period of maximally of five years. Candidates should hold a recent Master degree and should have very good knowledge in the computational neuroscience and machine learning fields. Application material (CV, abstract of the Master thesis, copies of certificates and two letters of reference) should be sent to: Prof. Dr. Klaus Obermayer MAR 5-6, Technische Universität Berlin, Marchstrasse 23, 10587 Berlin, Germany http://www.ni.tu-berlin.de/ klaus.obermayer(a)tu-berlin.de preferably by email. All applications received before November 11th 2017 will be given full consideration, but applications will be accepted until the position is filled. To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored.

Oct. 25, 2017

Cluster of faculty positions in Computational Neuroscience at UC Davis

by Mark Steven Goldman

The University of California at Davis is making a major expansion in Computational Neuroscience and related fields, with 10+ tenure-track faculty position openings in the next 3 years through clusters of hires in Computational Neuroscience (3 positions), Motor Control & Neural Engineering (2 positions), Network Science (2 positions), and Data Science (4 positions). UC Davis is a top-10 Public Research University (US News & World Report) located in the college-town of Davis, CA, 1 hour from the San Francisco Bay Area and 20 minutes from the state capital of Sacramento. All cluster and position descriptions can be found at the following website http://comphip2017.ucdavis.edu/. The two Computational Neuroscience faculty positions available this year are broadly targeted as described formally below: Assistant Professor - Computational Neuroscience The University of California, Davis invites applications for up to two tenure-track Assistant Professor positions in computational neuroscience. Each position will focus on identifying general principles of brain function; and/or on modeling and methods at the molecular, cellular, circuit, and/or systems levels that connect to data obtained from different experimental techniques. This is part of a 3-year initiative to hire 10+ new faculty across multiple departments who focus on advanced computational theory and methods, including clusters of hires in computational neuroscience, network science, and data science (see http://comphip2017.ucdavis.edu) QUALIFICATIONS: Ph.D. (or equivalent degree) in mathematics, statistics, computer science, engineering, physics, psychology, neuroscience, or related field; a demonstrated record of teaching, or evidence of the potential to teach undergraduate and graduate courses in the academic department or departments; a record of attracting, or the potential to attract, extramural funding; and excellent potential for interactions/collaborations. APPLICATION PROCESS: The position will remain open until filled. To ensure full consideration, completed applications should be received by November 20, 2017. Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Qualified applicants should submit a cover letter, curriculum vitae, statements of research and teaching interests, representative reprints and/or preprints, a statement of contributions to diversity, and at least three letters of recommendation electronically. The cover letter should indicate which of Neurobiology, Physiology, and Behavior; Computer Science; Statistics; Mathematics; or Physics would be the most appropriate academic departments. For more information, contact Prof. Mark Goldman (msgoldman(a)ucdavis.edu<mailto:msgoldman@ucdavis.edu>). For technical questions please contact Susan Sainz (swsainz(a)ucdavis.edu) Apply at UC Recruit: https://recruit.ucdavis.edu/apply/JPF01722

Oct. 25, 2017

NICE 2018 - call for abstracts is open

by Aimone, James Bradley

Dear colleagues, The abstract call for NICE 2018 is now open: https://easychair.org/cfp/NICE_2018 Abstracts due: November 15, 2017 The 2018 Neuro-Inspired Computing Elements (NICE) Workshop is the 6th annual meeting of researchers in the neural computing field. Like previous workshops, NICE 2018 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology. NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry. We are asking for extended abstracts of two pages, with emphasis on novel results in brain-inspired neural algorithms for machine learning, neural computing architectures and hardware, theoretical neuroscience, and applications of neural computing. Event dates are Feb. 27-Mar.1, 2018, and this year the workshop is being hosted by Intel, at their Hillsboro, Oregon site. Registration and accommodation details will be available on the event website (niceworkshop.org<http://niceworkshop.org>) by end of October. Looking forward to seeing everyone in Hillsboro, Feb.27th. Brad Aimone

Oct. 24, 2017

3-year, ERC-funded, postdoctoral position at University of Birmingham, UK.

by Jennifer Cook

The School of Psychology at the University of Birmingham, UK, invites applications for a 3-year position as a post-doctoral researcher. The successful candidate will work together with Dr. Jennifer Cook on a European Research Council (ERC)-funded project on the relationship between social cognition, motor control and dopamine system function (ERC-StG-Brain2Bee). The starting date for the position is 13th January 2018 (although there is some flexibility around start date). The closing date for applications is 10th November 2017. See here for details: http://www.jobs.ac.uk/job/BFB695/research-fellow/ *Project description:* Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s disease have been associated with dopamine system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. This project will use psychopharmacology and behavioural training in typical individuals to understand the relationship between dopamine system function, and social and motor ability. Insights from these initial studies will be used in studies of patients to better understand the relationship between DA system dysfunction and the social and motor symptoms of Parkinson’s disease. Results from this package of work will help us to move closer to a cross-disorder understanding of factors underlying variation in social and motor abilities. *The Candidate:* The successful candidate will be responsible for contributing to the development of a social and motor task battery; leading a study of social and motor function in patients with Parkinson’s Disease; and working with a team of researchers to run a psychopharmacology study to assess the effects of a dopaminergic drug on social and motor outcomes in 100 participants. Candidates should have substantial experience of behavioural experimental methods and ideally experience of working with a clinical population, and running and analysing psychopharmacology studies. This post will require analysing data associated with this project, preparing manuscripts for publication, presenting results at national and international conferences and the possible supervision of research assistants and students. Please note this post is aligned to external funding and therefore the salary on offer is up to a maximum of £32,548. -- Dr Jennifer Cook Birmingham Fellow School of Psychology University of Birmingham Tel: 0121 414 7218 <goog_589294029> www.jencooklab.com http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…

Oct. 23, 2017