February 2022 - Comp-neuro - lists.cnsorg.org

14 Open positions in neurotechnology R&D

by Eduardo López-Larraz

Bitbrain is a neurotechnology company that combines neuroscience, artificial intelligence, and hardware to develop innovative products. We are currently looking for 14 highly talented and enthusiastic individuals to join our R&D team. The profiles vary across the entire R&D pipeline of neurotechnology applications in healthcare: neuro/biomedical engineering, electronic engineering, software engineering, computer science, data science, project management, clinical neuropsychology, neuroscience lab assistants. More information and application procedure: https://www.bitbrain.com/careers -- Eduardo López-Larraz, PhD Research Scientist R&D Department eduardo.lopez(a)bitbrain.com Twitter <https://twitter.com/Edu_Lo_L> Scholar <https://scholar.google.com/citations?user=wLM67tAAAAAJ> LinkedIn <https://www.linkedin.com/in/edulop> www.bitbrain.com +34 931 444 823 info(a)bitbrain.com Facebook <https://www.facebook.com/BitbrainEN> Twitter <https://twitter.com/Bitbrain_EN> LinkedIn <https://www.linkedin.com/company/2070341>

Feb. 7, 2022

Fully funded PhD position (4 years)

by Michael Biehl

Apologies for multiple postings *Three weeks left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications (before March 1) are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. ------------------------------------------------------------ Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Feb. 7, 2022

Cognitive & Computational Neuroscience postdoc

by Peter Dayan

Cognitive and Computational Neuroscientist Postdoctoral position to understand the function of long range connectivity in human cognition We are seeking a new colleague to work on a collaborative project studying human cognition between the laboratories of Professor Linda Richards<https://neuroscience.wustl.edu/people/linda-richards-phd/> at Washington University in St. Louis and Professor Peter Dayan<https://www.mpg.de/12309370/biological-cybernetics-dayan> at Max Planck Institute for Biological Cybernetics in Tubingen. The position will be based at Washington University in St. Louis. We are studying how people with corpus callosum dysgenesis, a major change in their global brain wiring connectivity, are able to process and integrate information during tasks involving decision making, social intelligence and memory. We are seeking a creative scientist with a background in cognitive neuroscience and computational neuroscience to develop analysis tools and pipelines and new models of cognitive function that will help guide our experimental approaches. Applicants should submit their CV and a cover letter explaining their background and interest in the position and working in both laboratories by April 4th, 2022. Please see job posting<https://wustl.wd1.myworkdayjobs.com/en-US/External/job/Washington-Universit…> for additional information. Linda J. Richards AO, FAA, FAHMS, PhD Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine MSC 8108-12-8, 660 S. Euclid Avenue, St. Louis, MO 63110 Office Phone +1 314 362 4198; Cell Phone +1 314 532 7187 Linda.Richards(a)wustl.edu<mailto:Linda.Richards@wustl.edu> (My pronouns<https://www.mypronouns.org/>: she, her, hers)

Feb. 5, 2022

crowd-sourcing COSYNE post-review score sheet

by PERRINET Laurent

Dear community COSYNE is a great conference which plays a pivotal role in our field. Raw numbers we were given are * 881 submitted abstracts * 215 independent reviewers * 2639 reviews If you have submitted an abstract (or several) you have recently received your scores. I am not affiliated to COSYNE - yet I would like to contribute in some way and would like to ask one minute of your time to report the raw scores from your reviewers: https://forms.gle/p7eG1p6dJAkr4Cyg7 (Do one form per abstract.) For this crowd-sourcing effort to have a most positive impact, I will share the results and summarize in a few lines them in one week time (11/02). The more numerous your feedbacks, the higher the precision of results! Thanks in advance for your action, Laurent PS: if any similar initiative already exists, I'll be more than willing to receive feedback -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/

Feb. 4, 2022

Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. Please send the required documents if you are interested in. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable 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 duration is until March 31, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie(a)ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie(a)ircn.jp — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

Feb. 4, 2022

Postdoc Position In Austin Texas

by Franco Pestilli

Dear Friends and colleagues We are looking for an enthusiastic you fellow to join us on a 2-year project funded by an NIH R01 by the BRAIN initiative. The project focuses on open science and data sharing standards. We are set to extend the Brain Imaging Data Structure (BIDS) to cover brain connectivity data. Here you can find a full description of the project. BIDS has become an exciting standard and the community is growing large: https://bids.neuroimaging.io/ A few papers relevant to the project are below: https://www.nature.com/articles/sdata201644 https://www.nature.com/articles/s41597-019-0104-8 https://www.nature.com/articles/sdata2018110 https://www.nature.com/articles/s41597-019-0105-7 https://www.biorxiv.org/content/10.1101/2021.06.16.448390v1 https://www.medrxiv.org/content/10.1101/2021.10.22.21265382v3 We would appreciate it if you could share this email with your trainees and younger colleagues. The project has a broad reach and could be a great base for developing further projects related to human neuroscience, neuroinformatics, computer science and machine learning depending on the interest of the applicant. Best regards, Project Leader Franco Pestilli co-Investigators Russ Poldrack, Stanford University, California, USA Ariel Rokem, University of Washington Seattle, Washington USA Theodore Satterthwaite, University of Pennsylvania, Pennsylvania, USA Other Personnel. Franklin Feingold, Stanford University, California, USA Eugene Duff, Imperial College, London, UK Cyril Pernet, Neurobiology Research Unit, Denmark Robert Smith, Florey Institute, Australia Oscar Esteban, Lausanne, Switzerland Matt Cieslak, University of Pennsylvania, Pennsylvania, USA *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

Feb. 2, 2022

CRNS Talk Series (2) - Live Talk by Dr. Rachid Alami - CNRS, France

by Amir Aly

Dear All * Apologies for cross posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. Rachid Alami* who is a research director and team leader at the *National Center for Scientific Research* (CNRS), France on Wednesday, February 9th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning and AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/98559430652?pwd=aDBpNWtZd3FZKzNVQ0FMbndxWjdWdz09… >> *Title of the talk*: Models and Decisional issues for Human-Robot Joint Action *Abstract*: This talk will address some key decisional issues that are necessary for a cognitive and interactive robot which shares space and tasks with humans. We adopt a constructive approach based on the identification and the effective implementation of individual and collaborative skills. The system is comprehensive since it aims at dealing with a complete set of abilities articulated so that the robot controller is effectively able to conduct in a flexible and fluent manner a human-robot joint action seen as a collaborative problem solving and task achievement. These abilities include geometric reasoning and situation assessment based essentially on perspective-taking and affordances, management and exploitation of each agent (human and robot) knowledge in a separate cognitive model, human-aware task planning and interleaved execution of shared plans. We will also discuss the key issues linked to the pertinence and the acceptability by the human of the robot behaviour, and how this influence qualitatively the robot decisional, planning, control and communication processes. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

Feb. 2, 2022

Entropy Special Issue : Formal Analysis of Deep Artificial Neural Networks

by Friedhelm Schwenker

Dear Researchers, The Entropy Journal (https://www.mdpi.com/journal/entropy) is currently running a Special Isuue on Formal Analysis of Deep Artificial Neural Networks <https://www.mdpi.com/journal/entropy/special_issues/DANN> (Deadline: *31 May 2022) *This Special Issue welcomes original research papers on the analysis of ANNs based on mathematically founded methods in general. Review articles describing the current state of the art of ANNs in the aforementioned contexts are highly encouraged. All submissions to this Special Issue must include substantial theoretical aspects of ANN research.* * Keywords * ANN architectures and learning in approximation and complexity theories * Cost functions and constraints in information-theoretic learning algorithms for ANNs * Complexity of deep, recurrent, or quantum ANN learning * Information-theoretic principles for sampling and feature extraction * Analysis of learning based on information-theoretic methods (e.g., information bottleneck approach) in deep, recurrent, or quantum ANNs * Applications of ANNs based on information-theoretic principles or quantum computing * Theoretical advances in quantum ANNs Please contact us: Edmondo Trentin <trentin(a)dii.unisi.it> or Friedhelm Schwenker <friedhelm.schwenker(a)uni-ulm.de> if you are interested in submitting your work. A number of waivers / discounts is available for interested authors. Best wishes, Friedhelm Schwenker Edmondo Trentin -- Prof. Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker@uni-ulm.de www:http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

Feb. 1, 2022

FLAIRS-35 May 15-18, 2022, Jensen Beach, Florida, Paper Deadline

by David B

FLAIRS-35 Special Track on Neural Networks and Data Mining The Florida Artificial Intelligence Research Symposium (FLAIRS) is an interdisciplinary conference which features double-blind reviewing, free tutorials, and a warm and sunny venue. Abstract Due Date: February 7, 2022 Submission Due Date: February 14, 2022 Conference: May 15-18, 2022 Jensen Beach, Florida Website: https://sites.google.com/view/flairs-35-nn-dm-track/home URL: https://www.flairs-35.info/call-for-papers Papers are being solicited for a special track on Neural Networks and Data Mining at the 35th International FLAIRS Conference (https://www.flairs-35.info/home) This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy; algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy; modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction; and knowledge engineering or warehousing. Questions regarding the track should be addressed to: David Bisant at bisant(a)umbc.edu, Steven Gutstein at s.m.gutstein(a)gmail.com, or Bill Eberle at weberle(a)tntech.edu.

Feb. 1, 2022