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Virtual Telluride Neuromorphic Engineering Workshop (July 27-31 2020)
by Emre Neftci 22 Jul '20

22 Jul '20

We are happy to announce a Virtual Telluride Neuromorphic Cognition Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this year in replacement of our usual Workshop in Telluride. The workshop will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to 19:00 CET). The format will be a week of lectures and tutorials on current topics in neuromorphic engineering (two hours per day) followed by four hands-on, collaborative challenges which will be carried out in the month of August. The results of the challenges will be presented on September 10 and 11. More up-to-date information on the list of speakers and the challenges can be found at the 2020 Neuromorphic Workshop website (https://sites.google.com/view/telluride2020/home) The workshop is free to attend and is open to everyone upon registration. Please pass this announcement to other interested parties. Regards, The Telluride Neuromorphic Cognition Engineering 2020 Organizing Committee -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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[BCI-UC] Final program online
by Moritz Grosse-Wentrup 21 Jul '20

21 Jul '20

Dear colleagues: The final program of the 1st BCI Un-Conference is now online: https://bciunconference.univie.ac.at/program/ In addition to the keynotes by Mariska J Vansteensel and Christian Herff, the BCI-UC features nine contributed talks. These talks were selected from 31 submissions by 190 registered participants casting a total of 427 votes. All lectures will be streamed free of charge via Crowdcast this Thursday, July 23rd, from 3 pm to 9:15 pm (CEST) under the following URL: https://www.crowdcast.io/e/1st-brain-computer-interface-unconference/ If you would like to receive future updates about the BCI-UC series, please sign up to the mailing list: https://lists.univie.ac.at/mailman/listinfo/bciuc You are very welcome to also use this mailing list for any announcements that are of interest to the BCI community at large. Best regards, The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Post-doc position: Visual control
by Fajen, Brett 21 Jul '20

21 Jul '20

Please post the job ad below on the computational neuroscience email list. POSTDOCTORAL RESEARCH ASSOCIATE VISUAL CONTROL IN HUMANS AND AERIAL ROBOTS Cognitive Science Department Rensselaer Polytechnic Institute A post-doctoral position is available in the Perception and Action (PandA) Lab at Rensselaer Polytechnic Institute to study optic flow-based control. The aims of the project are to develop computational and mathematical models of visual perception and control in humans and adapt these models for use on board small aerial robots. The successful candidate will be expected to conduct experiments, develop models, and present research at conferences and in journal articles. This is a one-year position with an anticipated start date in September 2020. The position could be extended beyond one year depending on performance and availability of funding. The PI’s lab is situated within the Cognitive Science Department at Rensselaer Polytechnic Institute in Troy, NY. Minimum qualifications Candidates for the position must have a Ph.D. in Computer Science, Cognitive Science, Neuroscience, Psychology, or a related field. All degree requirements must be completed by the time the appointment starts. In addition, candidates should have research experience in vision science, a strong quantitative background, and good programming skills. Experience with virtual reality, motion capture, and/or eye tracking is also desirable, although not required. Application information Please contact Brett Fajen at fajenb[at]rpi.edu for information about the application process or with any questions about the position. We welcome candidates who will bring diverse intellectual, geographical, gender and ethnic perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Affirmative Action/Equal Opportunity, Race/Gender/Veterans/Disability Employer.

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Postdoc position at International Research Center for Neurointelligence (IRCN), the University of Tokyo
by Yukie Nagai 21 Jul '20

21 Jul '20

Dear colleagues, Nagai, Yazaki and Tsuji labs at the International Research Center for Neurointelligence (IRCN), the University of Tokyo are seeking a postdoctoral candidate for the transdisciplinary project “The Development of Social Intelligence”. The goal of this project is to identify the neuronal and biological basis of social effects on learning. The successful candidate will be involved in developing experiments in songbirds and human infants in interaction with robots, including the recording and analysis of behavioral, auditory, and physiological measures. The candidate will primarily be supervised by Dr. Nagai, and co-supervised by Dr. Yazaki and Dr. Tsuji. https://ircn.jp/en/careers/20200720-socialintelligence If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. --------------------------------------------------------------------------------- 1. Job title Project Researcher (Postdoctoral Fellow) 2. Starting Date Negotiable 3. Term The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract can be extended for up to 3 years. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN *This can be changed due to work circumstances. 5. Qualifications (Required) - Ph.D. or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computer science, cognitive science, neuroscience, and/or psychology will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp with a subject "Application for Project Researcher in Social Intelligence”. - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview. --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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International Brain Laboratory postdoc position at UCLA
by Hannah M Bayer 20 Jul '20

20 Jul '20

The Churchland lab at UCLA has an opening for a postdoctoral fellow in neuroscience who will be part of the International Brain Laboratory (IBL). The IBL (https://www.internationalbrainlab.com/) is a large-scale international collaboration in brain research, which combines the efforts of approximately 50 scientists in 22 laboratories toward understanding the brain-wide basis of a complex behavior. Now in its third year, the IBL has already achieved standardization and replication of the mouse behavioral paradigm across labs and the effort to map the entire mouse brain at single neuron resolution is now underway. Postdocs in the IBL contribute to collecting datasets and building collaborative infrastructure in addition to developing and leading their own personal projects, which are accelerated and enhanced by taking advantage of the IBL experimental and computational tools and by mentoring from the other members of the collaboration. It is expected therefore that IBL postdocs will publish multiple impactful first-author papers in addition to being part of consortium-wide papers. For more information about the advantages of postdoctoral research at IBL, see www.internationalbrainlab.com/postdocs/. The ideal candidate for this position has experience in rodent physiology experiments and in data analysis (ideally using Python). They will have a record of rigorous and creative scientific work, and are excited about the possibility of joining a large, innovative collaboration at the forefront of modern neuroscience. The International Brain Laboratory is committed to opposing all forms of discrimination, raising awareness and tackling the causes and consequences of discrimination. We pledge to provide a learning and working environment in which the rights and dignity of all members are respected and which is free from discrimination, prejudice, intimidation and all forms of harassment including bullying; to making a diverse mix of talented people feel valued, motivated and enabled to do their best work; and to creating a safe, welcoming working environment accessible to all. We encourage individuals who will contribute to achieving these aims to apply. Please send CV and cover letter to Anne.Churchland(a)internationalbrainlab.org

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The Annual BiasWatchNeuro Award for Equity and Inclusivity
by Bias WatchNeuro 20 Jul '20

20 Jul '20

We wanted to let you know of this new award, for a department/institute/program that is making special (and effective) efforts to ensure inclusivity and equity for trainees from minoritized and historically marginalized group. We hope you will circulate the below call for nomination among trainees in your department. Letters of nomination are due by end of August, for a September award date (in time for graduate recruiting season). Even if your department does not win this year, letters of nomination for the winning departments will be made public, so other departments can learn and copy their best practices. We are looking forward to a day where all neuroscientists feel welcome and supported in any university. The call for nominations is below, and also at https://biaswatchneuro.com/bwn-award/. > Call for nominations The Annual BiasWatchNeuro Award for Equity and Inclusivity > > Diverse voices and ideas deserve to be heard equitably in science. Since > 2015, BiasWatchNeuro has worked to increase the representation of women in > neuroscience and related fields, emphasizing in particular the > representation of women as invited speakers at conferences. However, women > are not the only group that is confronted with implicit biases and systemic > obstacles in science. Minoritized groups are severely underrepresented at > every level of the academic career path — from undergraduate education to > faculty. Attempts to diversify departments have increased, but the reality > is that many universities and institutions still embody and perpetuate both > the historical influence of being established by men of privilege, and the > persisting effects of systemic racism in our society. Even as more diverse > student bodies are recruited, the culture in many departments and > institutions is not welcoming to and supportive of those that belong to > minoritized groups. Intersectionality adds another layer of disadvantage, > with minoritized women being especially underrepresented and unsupported. > > It is time to change this reality and build a new one, in our departments > and institutions. Black scientists matter. Latinx scientists matter. > LGBTQAI+ scientists matter. First generation scientists matter. Low income > scientists matter. Intersectionality matters. > > BiasWatchNeuro is excited to announce a new Annual Award for Equity and > Inclusivity, awarded to a neuroscience or neuroscience-related department, > institute or program that demonstrates the exceptional creation of a > culture where individuals underrepresented and/or marginalized in STEM feel > integral to the community and thrive. > > We recognize that no department/institute/program is perfect. However, > some are doing much better than others, and should be recognized for this. > Nomination letters for winners and runner ups will be made public (without > the list of signatories, which will remain confidential), to showcase > successful methods for creating an inclusive and equitable culture, and to > provide prospective trainees at all levels with information that can inform > their decisions of where to apply to. We hope that this will help us all > improve our practices and move toward a day in which all neuroscientists > feel seen, respected, and supported. > > Nominations for the 2020 award will be accepted through *August 31, 2020*. Awards > will be announced in September. > > Letter of nomination signed by one or more trainees (current and/or > alumni; including post-bacc/RAs; faculty cannot nominate their current > program) should be sent to biaswatchneuro(a)gmail.com. Letters should > describe in detail specific actions and elements that promote inclusivity > and equity, and their impact on underrepresented/marginalized groups. More > than one letter and/or letters with multiple signatories will be viewed > favorably. > Sincerely, The BiasWatchNeuro team ----------------------------------------------------- Please feel free to send conferences and meetings our way by filling out this <https://docs.google.com/forms/d/e/1FAIpQLSe5ydak4RqHyrVU2BGc17T_SXsFiYB9j_Y…> form. For more information: www.biaswatchneuro.com

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Invitation for papers submission to In Silico Pharmacology
by boris gutkin 20 Jul '20

20 Jul '20

On behalf of the In Silico Pharmacology (Springer) editorial board, we would like to invite papers at the interface between computational neuroscience, artificial intelligence, machine learning and neuropharmacology. In Silico Pharmacology provides a forum for peer-reviewed research articles at the cross-roads of computation, neuroscience, pharmacology and toxicology. It is anticipated that all computational and experimental approaches are represented within In Silico Pharmacology. The journal primarily publishes interdisciplinary papers that address computational approaches in multi-scale analysis of bioactive substances from the cellular up to behavioral level as well as drug-design. The journal especially encourages deterministic and stochastic modeling of biological (e.g., biochemical, biophysical and immunological) processes leading to therapeutic advancements, as well as mathematical methods characterizing the pharmacology of substances within the living organism. Papers investigating substance- or material-induced morphological and genetic alterations are also welcome. More information can be found at the journal website: https://www.springer.com/journal/40203/

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PhD Position in Computational Neuroscience at the University of Edinburgh
by CHADWICK Angus 20 Jul '20

20 Jul '20

Applications are invited for a fully-funded 3 year PhD studentship in Computational Neuroscience with Dr. Angus Chadwick at the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh. Applicants should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or a related subject, and be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also apply. Research in our group focuses on the neural circuit computations underlying perceptual and cognitive function, with a focus on vision and spatial navigation. We use a combination of approaches, including 1) analysis and simulation of biological neural networks, 2) development of novel data analytic methods for large-scale neural recordings, and 3) normative models of neural circuit function informed by machine learning and artificial intelligence. Typical techniques used include dynamical systems theory, statistical physics, signal processing and machine learning. We collaborate closely with experimental neuroscience laboratories both in Edinburgh and further afield. A number of projects are available, and there is flexibility to develop a project to suit the interests and skills of the candidate. Edinburgh is a vibrant and international city with a large student population, and has been voted as “best place to live in Britain”. The School of Informatics hosts an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences. Applicants should email Dr. Angus Chadwick directly at angus.chadwick(a)ed.ac.uk with their CV and a brief statement of interest, or for informal enquiries and discussion. Applications will be considered until the position is filled. The start date for the position is flexible (with earliest possible start September 2020). The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Release of CARLsim5 - Latest version of our GPU-accelerated Spiking Neural Network Simulator
by Jeffrey Krichmar 20 Jul '20

20 Jul '20

Dear Colleagues, We are pleased to announce the release of CARLsim5. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides an intuitive programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. The new release has a python frontend that is compatible with PyNN. Software and user documentation can be found at: https://github.com/UCI-CARL/CARLsim5 New and improved features in CARLsim5 include: · PyNN compatibility · Neuron monitor for observing the voltage and current traces of individual neurons · Improved installation for the Evolutionary Computations in Java (ECJ) interface (coming soon) · Docker images for Windows users and computer cluster users · Saving and loading simulations For those interested in the pyCARL interface, our IJCNN paper will be presented at the Plenary Poster Session I-P7: Spiking Neural Networks, Tuesday, July 21, 2:30PM-4:30PM GMT+1), IJCNN Poster Room 1: P1317 PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network [#20903] Sincerely, The CARLsim team Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes 17 Jul '20

17 Jul '20

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Methods to assess binocular rivalry with periodic stimuli Authors: Farzaneh Darki and James Rankin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review Authors: Christian Bick, Marc Goodfellow, Carlo R. Laing and Erik A. Martens https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Spatially extended balanced networks without translationally invariant connectivity Authors: Christopher Ebsch and Robert Rosenbaum https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Geometry of color perception. Part 1: structures and metrics of a homogeneous color space Authors: Edoardo Provenzi https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity Authors: Valentin Schmutz, Wulfram Gerstner and Tilo Schwalger https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. The Impact Factor of the journal is 2.091 ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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