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Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo
by nagai.yukie＠mail.u-tokyo.ac.jp Feb. 4, 2022

Feb. 4, 2022

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

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Postdoc Position In Austin Texas
by Franco Pestilli Feb. 2, 2022

Feb. 2, 2022

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.

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CRNS Talk Series (2) - Live Talk by Dr. Rachid Alami - CNRS, France
by Amir Aly Feb. 2, 2022

Feb. 2, 2022

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

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Entropy Special Issue : Formal Analysis of Deep Artificial Neural Networks
by Friedhelm Schwenker Feb. 1, 2022

Feb. 1, 2022

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

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FLAIRS-35 May 15-18, 2022, Jensen Beach, Florida, Paper Deadline
by David B Feb. 1, 2022

Feb. 1, 2022

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.

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Positions in neuro-AI at the Centre for Neural Dynamics
by Richard Naud Jan. 31, 2022

Jan. 31, 2022

Frontiers of neuro-AI Primary Supervisor: Dr Richard Naud<http://www.neurodynamic.uottawa.ca/neuralcoding/index.html><https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/supervi…>, Faculty of Medicine, Faculty of Science Secondary supervisor: Prof Jean-Claude Béïque<https://www.uottawa.ca/brain/people/beique-jean-claude>, Katalin Toth<https://med.uottawa.ca/cellular-molecular/people/toth-katalin> University of Registration: University of Ottawa, Faculty of Medicine<https://med.uottawa.ca/graduate-postdoctoral/> Project outline: Multiple Ph.D. and postdoctoral positions are available in the Neural Coding lab. The main goal of our research group is to understand how properties of neurons and synapses allows the brain to learn to complete difficult tasks. We are particularly interested in how cognitive-level functions - as formalized by artificial intelligence - can be implemented by neurons in particular systems [1-2]. In particular, our work explores the relationship between properties of cortical neurons and the diverse methods of credit assignment that have been used to train artificial neural networks. We are also interested in the relationship between mood-related networks (serotonergic centers, dopaminergic centers) and types of reinforcement learning. To study this, we perform computational modeling closely related to experimental data. Our work typically involves the development of both data analysis methods and the study of simulated neuronal networks. For an example of previous work see Ref [1-4]. The PhD project will be well suited to candidates ideally having experience in scientific programming, mathematical modeling, phsyics, mathematics, computer science or similar disciplines. The research projects require a meaningful navigation of electrophysiological, opto-physiological, behavioral and anatomical data. Programming skills (preferably Python) skills are highly desirable and knowledge of Machine Learning/Deep Learning or numerical simulation of physical systems is a plus. We are committed to working in an inclusive environment that encourages diversity while ensuring that everyone is treated equally. Our team is down-to-earth, diverse, inclusive and very dynamic. Please write to Dr. Richard Naud if you have questions. References: 1. Payeur, Alexandre, et al. "Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits." Nature Neuroscience 24.12 (2021): 1780-1780. 2. Harkin, Emerson F., et al. "Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework." bioRxiv (2021). 3. Harkin, E. F., et al. "Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation." Neuroscience (2021). 4. Lynn, Michael B., et al. "A Synthetic Likelihood Solution to the Silent Synapse Estimation Problem." Cell reports 32.3 (2020): 107916. Contact: Dr Richard Naud<http://www.neurodynamic.uottawa.ca/neuralcoding/index.html><https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/supervi…>, University of Ottawa with up-to-date CV and research statement.

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DENDRITES 2022 call for abstracts
by Yiota Poirazi Jan. 31, 2022

Jan. 31, 2022

DENDRITES 2022 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 23-26 May 2022 http://meetings.embo.org/event/20-dendrites Dear Colleagues, We are pleased to announce the solicitation of abstracts for short oral or poster presentations at the EMBO Workshop on DENDRITES 2022, which will take place in Heraklion, Crete on 23-26 May 2022. This is the 4th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register (no payment required) and submit your abstract online at: http://meetings.embo.org/event/20-dendrites Submissions of abstracts are due by *February 1st, **2022* Notifications will be provided by February 28th, 2022 Registration payment due by April 15th, 2022 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info(a)mitos.com.gr We look forward to seeing you in person at DENDRITES 2022! The organizers, Yiota Poirazi, Kristen Harris, Matthew Larkum, Michael Häusser -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810-391139 /-391238 Fax: +30 2810-391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

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Three Postdoc Openings at the Krembil Computational Neuroscience hub in Toronto (Canada)
by De Pitta, Maurizio Jan. 30, 2022

Jan. 30, 2022

Three postdoctoral positions are available in the Computational Neuroscience hub of the Krembil Research Institute, University Health Network in Toronto (see https://kcnhub.com/) **Postdoc position at the Neuron-Glia Interactions Lab (PI: Dr. Maurizio DE PITTA, maurizio.depitta(a)uhnresearch.ca) The postdoc project aims to reconstruction, modeling and simulation of astrocytes by new techniques that leverage cross-fertilization of biophysical modeling, topology, connectomics, and statistical classification. The ideal candidate should be strongly committed to multidisciplinary research, and have a strong background in computational biology with excellent programming skills. Strong analytical skills and essential knowledge of astrocyte biology are preferred. The position is for 1 year with the possibility to extend it for at least two more years depending on performance. For more info: https://kcnhub.com/jobs/computational-characterization-of-spatiotemporal-ca… . ** Two Postdoc positions at the Neural Systems & Brain Signal Processing Lab (NSBSPL, PI: Dr. Milad LANKARANY, milad.lankarany(a)uhnresearch.ca) Two postdoc positions are available at NSBSPL to develop a translational computing framework that allows to identify the relationship between electrical stimulation (e.g., deep brain stimulation) and neuronal responses at the cellular level, decipher their mechanistic pathways at the circuit level, and link neural activities to behavior and cognition. Both positions are for 1 year with the possibility to extend for at least one more year depending on performance. Requirements and details for each position are provided at https://kcnhub.com/jobs/computational-neuroscience-postdoc-position & https://kcnhub.com/jobs/neural-data-science-postdoc-position . Applications should include a short (<2 pages) letter of interest including a research statement, an updated CV, and the contact details of three academic advisors. The application should be provided as ONE SINGLE PDF and submitted to the PI of interest with the subject line “[Postdoc Application] <Full Name>” Contact details: Maurizio DE PITTA, maurizio.depitta(a)uhnresearch.ca Milad, LANKARANY, milad.lankarany(a)uhnresearch.ca Screening of applications will start by February 2022 and will continue until the position is filled. For more details on the individual positions, visit https://kcnhub.com/jobs/category/postdoc. The Krembil Research Institute (Krembil) is the research arm of the Toronto Western Hospital (TWH) and one of the seven research institutes at the University Health Network (UHN). Krembil’s research programs focus on the brain, the eye and arthritis. Its laboratories are located at the Krembil Discovery Tower and at TWH’s Main, McLaughlin and Fell Pavilions. Prior to November 13, 2015, Krembil was known as the Toronto Western Research Institute. For more information: https://www.uhn.ca/Research/Research_Institutes/Krembil. The Krembil Brain Institute (KBI) at Toronto Western Hospital is home to one of the world’s largest and most comprehensive teams of physicians and scientists uniquely working hand-in-hand to prevent and confront problems of the brain and spine. One in three Canadians will experience a brain-related condition such as Parkinson’s, Alzheimer’s or stroke in their lifetime. Through state-of-the-art patient care and advanced research, the Krembil Brain Institute works relentlessly to find new treatments and cures. The Krembil Computational Neuroscience ‘hub’ (KCNhub) is hosted on the fourth floor of the Krembil Discovery Tower. It constitutes a grouping of Krembil scientists doing computational neuroscience research on various topics that include fundamental and translational neuroscience, bioengineering and biophysics.The KCNhub interfaces with the strong, local neuroscience research environment at the KBI and the University Health Network, and originated from the need to build theoretical and mathematical neuroscience expertise directly interacting with stakeholders of the adjacent Toronto Western Hospital. ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. 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special issue: What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories
by Claudius Gros Jan. 29, 2022

Jan. 29, 2022

Dear all It is a pleasure to invite viewpoints and short reviews (10 pages max) on What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories Cognitive Computation, special issue https://www.springer.com/journal/12559/updates/20028534 submissions deadline: 15 April 2022 edited by Asim Roy, Claudius Gros, Juyang Weng, Jean-Philippe Thivierge, Tsvi Achler, Ali A. Minai. Aim and Motivation: Arguments about the brain and how it works are endless. Despite some conflicting conjectures and theories that have existed for decades without resolution, we have made significant progress in creating brain-like computational systems to solve some important engineering problems. It would be a good idea to step back and examine where we are in terms of our understanding of the brain and potential problems with the brain-like AI systems that have been successful so far. For this special issue of Cognitive Computation, we invite thoughtful articles on some of the issues that we have failed to address and comprehend in our journey so far in understanding the brain. We aim for rapid peer-reviews by experts (about two weeks) for all selected submissions and plan to publish the special issue papers on a rolling basis from early 2022. We plan to publish a collection of short articles on a variety of topics that could be asking new questions, proposing new theories, resolving conflicts between existing theories, and proposing new types of computational models that are brain-like. We are looking forward to your submission! Clauidus Gros -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

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In-person event: TEX2022 - Bringing together Predictive Processes and Statistical Learning
by Yamil Vidal Jan. 28, 2022

Jan. 28, 2022

TEX2022: Bringing together Predictive Processes and Statistical Learning After our online meeting last year, this summer we want to welcome you for an in-person meeting in Trieste, Italy. The event will consist of morning lectures by the invited speakers and afternoon talks for which there will be an open call for abstracts. There will also be plenty of time for social activities and informal discussions. While all presentations will be delivered in person, it will also be possible to attend online. Confirmed Invited Speakers so far: Caspar Schwiedrzik, Floris de Lange, Lucia Melloni, Maria Chait, Nicola Molinaro and Ram Frost Where: International School for Advanced Studies (SISSA), Trieste, Italy. When: During the week of the 18th of July Please spread the word, save the dates and stay tuned for further details. We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

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DEADLINE Feb 15 for the Computational Neuroscience Imbizo in Cape Town, South Africa
by Tim Vogels Jan. 26, 2022

Jan. 26, 2022

Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don’t let it swoosh by to join a diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2022 12 August - 4 September 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 15th February 2022 The #isiCNI2022 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 15th February 2022 * Notification of results: late April 2022 Information and application https://imbizo.africa/ <https://imbizo.africa/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Daphne Bavelier - University of Geneva Timothy Lillicrap - DeepMind Jonathan Pillow - Princeton University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Alex Pouget - University of Geneva TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - McGill University Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Sanjukta Krishnaopal - University College London Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/> and the International Brain Research Organisation (IBRO) <https://ibro.org/>, as well as the Wellcome Trust <https://wellcome.org/>, Deep Mind <https://deepmind.com/> and Wits University <https://www.wits.ac.za/> Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Director of Scientific Research: Stanford Cognitive & Systems Neuroscience Laboratory
by Stacie Warren Jan. 25, 2022

Jan. 25, 2022

Hi, Posting for a colleague. Please direct any questions to Mai-Phuong Bo, lab manager, at maipbo(a)stanford.edu. Director of Scientific Research: Stanford Cognitive & Systems Neuroscience Laboratory Stanford University The Stanford Cognitive & Systems Neuroscience Laboratory ( http://scsnl.stanford.edu) in the Department of Psychiatry and Behavioral Sciences is seeking a Director of Scientific Research. This is an exciting opportunity to manage the lab’s ongoing research on human brain function and dysfunction across the lifespan. The Director of Scientific Research will play a key role in day-to-day research operations of the lab and manage staff activities on funded research projects, including study and protocol design, data collection, data management & analysis, manuscript writing, and dissemination of scientific findings. The successful candidate will also take a lead in the development, writing, and submission of grant proposals across a range of funding mechanisms, including NIH, NSF, and private philanthropic foundations. The Director of Scientific Research will report to the Lab Director and Principal Investigator. This is an excellent role for an advanced postdoc with research experience in cognitive neuroscience, strong writing and analytical skills, excellent organizational and leadership skills, the ability to communicate clearly and effectively, and a passion for academic research. Interested applicants should submit ( https://careersearch.stanford.edu/jobs/director-of-scientific-research-13316) a CV and a cover letter describing qualifications for the position. Duties include: • Develop and implement standard operating procedures for effectively collecting, managing, and disseminating scientific research. • Oversee preparation and managing submission of IRB and regulatory protocols and reports to funding agencies. • Write and edit content for grant proposals, peer-reviewed publications, and other program activities under the general direction of PI. · Assist with the development of research grants, suggest new funding opportunities, write portions of grants, and/or summarize data for grant support. • Facilitate publication of research papers and reports. • Oversee and administer research activities by evaluating academic programs, making recommendations that impact policies and programs, and coordinating and implementing changes. • Collect and analyze data, create reports, review and explain trends to determine program effectiveness; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program. • Develop, implement, administer, and evaluate large-scale research programs in clinical neuroscience, psychiatry, and pediatric neuroimaging. • Represent the lab as the key contact and subject matter expert within the department, unit or school and develop communications for internal and external constituencies. • Organize and/or participate in outreach activities such as events, partnerships, fundraising, training, and conferences. Lead workshops and facilitate meetings. • Monitor expenses, budgets, and finances of the program. Make recommendations on funding based on program spend. Develop strategic plans, budgets, and set timelines with the research team. • Oversee training of research staff and students. • - Other duties may also be assigned DESIRED QUALIFICATIONS: • Ph.D. with focus on cognitive, developmental, clinical, or experimental psychology or neuroscience, with 2 years of relevant postdoctoral research experience. • Track record in successful grant writing. • Strong publication record. • Ability to plan, organize, and manage the daily activities and operations of complex research projects in a University setting. • Ability to provide necessary leadership, including helping to maintain a high morale among co-workers and keep projects on track over an extended period. • Excellence in both written and verbal communication. • Strong interpersonal skills for communicating with schools, parents, children, and community officials who will be involved or contacted over the course of the project. • Ability to lead project teams and maintain good working relationships with supervisors, coworkers, and research subjects. • Ability to work efficiently, meet deadlines, and complete tasks with a high degree of accuracy with little oversight. -- Stacie L. Warren, Ph.D. Associate Professor Department of Psychology Palo Alto University 1791 Arastradero Road Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

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Postdoc: lucid dreaming via brain stimulation, VR, EEG, ML
by Martin Dresler Jan. 25, 2022

Jan. 25, 2022

Hi, for a collaboration between the Donders Institute and Bern University on the induction of lucid dreaming, we are looking for a postdoc with experience in (ideally: several) the following fields: brain stimulation, VR, HD-EEG, machine learning, sleep. Deadline soon, further information: https://dreslerlab.org/postdoc-position Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Special Issue on Computational Neuroscience in the Journal of Physiology
by Michael Okun Jan. 24, 2022

Jan. 24, 2022

Dear Colleagues, We would like to announce a special issue of the Journal of Physiology focused on computational neuroscience, to be published in commemoration of the 70th anniversary of the publication of the Hodgkin-Huxley model and to celebrate the 600th volume of the journal. The special issue will include a number of invited reviews covering synaptic and network models, with further information available in the issue's advert flyer: https://physoc.onlinelibrary.wiley.com/pb-assets/assets/14697793/Affiche_Co… To complement the above reviews, the journal seeks submissions of original research articles in all areas of theoretical and computational neuroscience. The submission deadline is 15th of April 2022. Additional details on the special issue can be found in the official announcement on the journal's webpage: https://physoc.onlinelibrary.wiley.com/hub/journal/14697793/resources/call-… Thank you, Katalin Toth and Michael Okun

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[3rd BCI-UC] Final program online
by Philipp Raggam Jan. 24, 2022

Jan. 24, 2022

Dear colleagues, We are very excited to announce that the final program of the 3rd Brain-Computer Interface Un-Conference (BCI-UC) is now online: https://bciunconference.univie.ac.at/3rd-bci-uc/ All presentations are streamed live and free-of-charge on January 27th (Thursday), 2022, from 03:00 pm to 09:00 pm (CET) via: https://www.crowdcast.io/e/3rd-brain-computer-interface-unconference/1 The 3rd BCI-UC features keynotes by *Cynthia A. Chestek* on "Neural Interfaces for Controlling Finger Movements" and by *Thorsten O. Zander* on "The Age of Neuroadaptivity". In addition, we have seven contributed presentations and one panel discussion on a broad range of topics for BCI technologies. We are looking forward to seeing you all at the 3rd BCI-UC! Best regards, The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu -- DI Philipp Raggam, BSc Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria

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Update IMRF 2022 in Ulm
by Marc Ernst Jan. 24, 2022

Jan. 24, 2022

Dear colleagues and friends of IMRF, This is just a quick update on the International Multisensory Research Forum (IMRF), scheduled for July 4-7 2022 in Ulm, Germany. ( https://cops.ifp.uni-ulm.de/imrf2022/ <https://cops.ifp.uni-ulm.de/imrf2022/> ) We are monitoring the current pandemic situation very closely and as you are aware, predictions into the longer future have been proven to be very difficult. This uncertainty is why we did not update you earlier. Anyway, here is the current status of our planning and thinking: We are still very determined to host IMRF in the summer of 2022 as an in presence meeting. Whether or not there will be a hybrid addition to IMRF which would allow for also online participation, is not yet determined, as any hybrid format is a huge organisational challenge. To make it easier for you to decide whether or not you can travel to Germany in summer 2022, we have tried to post the deadlines for abstract submission and registration as late as possible. Currently, the abstract submission deadline is set to April 01, the date by which you can also change and adapt your already submitted abstract (and symposium contributions). The review process will start after this date. We strife to keep the already accepted symposia and ask the symposium organisers / attendees to update their information accordingly if individual talks need to be adapted. Please get in contact with us by the submission deadline in case of necessary substitutions, The early registration deadline is set to May 20 giving us a bit more than a month to plan with the number of participants. Given the current pandemic regulations in Germany to not pack rooms as densely as we used to, we may have to limit the number of participants to something around 180 to 200 people. However, as you are aware, the situation and thus rules keep changing. In any case it cannot hurt to register early to secure your space, as limits, if they apply, will be done on a first come first serve basis. Here is a link to the current regulations in the state of Baden Württemberg, which is permanently adapted as the situation changes: https://www.baden-wuerttemberg.de/en/service/aktuelle-infos-zu-corona/coron… <https://www.baden-wuerttemberg.de/en/service/aktuelle-infos-zu-corona/coron…> We will keep you posted as soon as we have more information. Stay safe and healthy - best, Marc --------------------------------------------------------- Prof. Dr. Marc Ernst Applied Cognitive Psychology Faculty for Computer Science, Engineering & Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room nr.: 43.3.103 mail: marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de> phone int.: +49-(0)731-50 320 50 phone ext.: +49-(0)731-50 356 27 sekr: +49-(0)731-50 320 51 mobile: +49-(0)152-22 543 156

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CRNS Talk Series - Live Talk by Dr. Alessandra Sciutti - Italian Institute of Technology (IIT)
by Amir Aly Jan. 23, 2022

Jan. 23, 2022

**Apologies for cross-posting ** Dear All, The Center for Robotics and Neural Systems (CRNS <https://www.plymouth.ac.uk/research/robotics-neural-systems>) at Plymouth University is pleased to announce the talk of *Dr. Alessandra Sciutti* from the *Italian Institute of Technology* (IIT) on Wednesday February 2nd at *11:00 am - 12:30 pm (GMT) *over *Zoom*. Registration is* required* and free: Registration Form <https://docs.google.com/forms/d/e/1FAIpQLSfPms0aWvXSD3xOg3eBEUMt-6vKq-yETd9…> . *Title of the talk*: Cognitive robots for more humane interactions *Abstract*: A cognitive robot is a robot capable to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Our research leverages on the use of the humanoid robot iCub to test how to build such a cognitive interactive agent. We model the minimal skills necessary for cognitive development, such as the visual features that enable to recognize the presence of other agents in the scene, their internal state and their responses to robot behavior. In a dual approach, we are trying to understand how to modulate robot movement to make it more transparent and understandable to non-expert users. As a next step, we are focusing on the development of simple cognitive architectures that could integrate the sensory and motor capabilities developed in isolation together with memory, internal motivation and learning mechanisms, to achieve personalization and adaptation skills. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner. --- 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

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CRNS Talk Series - Live Talk by Dr. Alessandra Sciutti - Italian Institute of Technology (IIT)
by Amir Aly Jan. 23, 2022

Jan. 23, 2022

**Apologies for cross-posting ** Dear All, The Center for Robotics and Neural Systems (CRNS <https://www.plymouth.ac.uk/research/robotics-neural-systems>) at Plymouth University is pleased to announce the talk of *Dr. Alessandra Sciutti* from the *Italian Institute of Technology* (IIT) on Wednesday February 2nd at *11:00 am - 12:30 pm (BST) *over *Zoom*. Registration is* required* and free: Registration Form <https://docs.google.com/forms/d/e/1FAIpQLSfPms0aWvXSD3xOg3eBEUMt-6vKq-yETd9…> . *Title of the talk*: Cognitive robots for more humane interactions *Abstract*: A cognitive robot is a robot capable to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Our research leverages on the use of the humanoid robot iCub to test how to build such a cognitive interactive agent. We model the minimal skills necessary for cognitive development, such as the visual features that enable to recognize the presence of other agents in the scene, their internal state and their responses to robot behavior. In a dual approach, we are trying to understand how to modulate robot movement to make it more transparent and understandable to non-expert users. As a next step, we are focusing on the development of simple cognitive architectures that could integrate the sensory and motor capabilities developed in isolation together with memory, internal motivation and learning mechanisms, to achieve personalization and adaptation skills. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner. --- 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

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We are recruiting a post-doc to work on a project using real-time fMRI neurofeedback
by Steve Weisberg Jan. 21, 2022

Jan. 21, 2022

Hi all, Natalie Ebner and I are recruiting a postdoctoral researcher to work on real-time fMRI neurofeedback in the domain of spatial navigation in aging! If you (or someone you know) is interested, please get in touch! The Spatial Cognition and Navigational Neuroscience (SCANN <https://scannlab.psych.ufl.edu/>) and Social-Cognitive and Affective Development <https://ebnerlab.psych.ufl.edu/> Laboratories at the University of Florida are hiring a postdoctoral researcher who will lead real-time fMRI neurofeedback experiments related to the cognitive neuroscience of spatial navigation in aging and age-related pathology. The position will be co-supervised by Dr. Steven Weisberg and Dr. Natalie Ebner, in collaboration with Dr. Dawn Bowers. The initial position is a 2-year appointment, with subsequent renewals depending on funding availability. Preferred start date is *March 1, 2022,* but is negotiable. Salary will be paid at the NIH postdoctoral levels. *If interested, please contact Steven Weisberg *(stevenweisberg(a)ufl.edu) *and Natalie Ebner *(natalie.ebner(a)ufl.edu) *by email and include a CV and two letters of recommendation*. We will accept applications until the position is filled. Please note, if you do not meet the preferred qualifications or are not sure about position fit, *email us anyway*! *Required Qualification: *PhD in psychology, neuroscience, computer science, biomedical engineering, or a related field. *Preferred Qualifications: *(1) Experience with real-time fMRI neurofeedback; (2) Experience with fMRI design and analysis (including FSL, Matlab, or Python tools); (3) Experience with cognitive aging and/or Alzheimer’s disease is a plus. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

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Neuroscience data analyst at the European Neuroscience Insitute in Göttingen
by googlemail Jan. 21, 2022

Jan. 21, 2022

The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), as well as techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst is expected to work closely with all of the research groups at the European Neuroscience Institute, supporting research efforts, e.g. through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments including the opportunity to develop and publish, e.g. analytical tools that arise from this work. • The applicant should possess a university degree (minimum M. Sc. or equivalent) in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. • The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant should also demonstrate strong analytical skills. Knowledge of novel and emerging analysis techniques is highly desirable. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups’ scientific process is expected. • The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. • In addition, contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data/open science and appreciate interest and expertise in this area. • Utilize programming languages such as Python, Matlab and/or C++. • A good command of English is mandatory. The University Medical Center Göttingen takes flexible account of the individual design of working hours at the workplace. It is interested in implementing the wishes of its employees as far as possible. If you are interested in this job and have specific questions about working hours, please contact us. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. The position is financed until December 31st, 2024 with extension options. The envisioned start date is May 2022 but this is flexible. The deadline for applications is February 28th, 2022. Please send your application (CV, letter of motivation) via e-mail as a single PDF-file to j.clemens(a)eni-g.de. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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Two postdoc positions in computational and systems neuroscience
by googlemail Jan. 21, 2022

Jan. 21, 2022

Two postdoc positions are available in the lab of Jan Clemens at the European Neuroscience Institute Göttingen, Germany. A major focus of the lab is discovering how sensory information is processed and integrated to drive behavior. We combine high-throughput behavioral assays, machine learning (pose tracking), computational modelling, and modern systems neuroscience tools (calcium imaging and optogenetics). The postdocs to be hired will focus on how different sensory modalities are integrated to organize social interactions in fruit flies, with the goal of identifying the neural substrates and computations driving social behavior. We are going to combine a variety of state-of-the-art techniques, including automated behavioral analyses, optogenetics, in-vivo two photon imaging, and computational modelling. The postdocs will have the opportunity to learn experimental and computational skills in the lab. Your profile: • PhD in neuroscience or biology, physics, engineering, computer science or equivalent. • Experience with at least one of these techniques: calcium imaging, electrophysiology, Drosophila genetics and behavior, computational modelling. • A track record of scientific publications or conference presentations. • Good command of the English language. The position is financed until January 31st, 2025. The envisioned start date is May 2022 but this is flexible. The deadline for applications is February 28th, 2022. Please send your application as a single pdf to Jan Clemens (j.clemens(a)eni-g.de) including a CV as well as names and contact details of two references. Please make sure to include a short statement of why this project interests you and how you think you could contribute, based on your scientific background. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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Allen Institute Modeling Software Workshop
by Anton Arkhipov Jan. 19, 2022

Jan. 19, 2022

Join us for the inaugural Allen Institute Modeling Software Workshop in beautiful Seattle, on July 25-26, 2022! https://alleninstitute.org/what-we-do/brain-science/events-training/2022-mo… Sponsored by the NIH BRAIN program, this workshop is organized by the Allen Institute and our collaborators at the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign. This 2-day in-person* workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data. The tools covered by the workshop include: * The SONATA file format<https://github.com/AllenInstitute/sonata> for multiscale neuronal network models and simulation output, supporting standardized and computationally efficient storage and exchange of models. * The Brain Modeling ToolKit (BMTK)<https://alleninstitute.github.io/bmtk/> – a Python-based software package for building and simulating large-scale neural network models at multiple levels of resolution. * The Visual Neuronal Dynamics (VND)<http://www.ks.uiuc.edu/Research/vnd/> – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting. Workshop Topics: * Building heterogenous neural networks at different levels of resolution * Simulating networks of biophysically detailed, compartmental neuronal models * Simulating networks of point-neuron models * Providing realistic spiking inputs to the neural networks * Simulating perturbations * Simulating extracellular electric field * Using and sharing models in the SONATA format * Visualizing network models’ structure and dynamics in 3D We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply. Prior experience in modeling is not required or expected. The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop. Applications are due on March 15. All applicants will be notified of the status of their application by May 20. *If conducting the workshop in person becomes impossible due to covid-related safety concerns, it will be replaced by an online workshop on the same dates. See more information and apply here: https://alleninstitute.org/what-we-do/brain-science/events-training/2022-mo… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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Braincom online international workshop on Current advances on speech neural decoding and prostheses: Jan 26, 2022 (free)
by Blaise Yvert Jan. 18, 2022

Jan. 18, 2022

Dear Colleagues, It is a pleasure to announce the following online workshop organized within the EU Braincom project on Current advances on speech neural decoding and prostheses. This event will feature the current work of EU/UK and US groups in the field. It will be held on January 26, 2022 The program and connection details can be found at the following page : https://sites.google.com/view/braincomspeechprosthesesws/accueil It is free to attend, so don't hesitate to connect and spread the information With my best regards and wishes for 2022, Blaise Yvert. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics Grenoble Institute of Neuroscience U1216 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://www.neurotech-lab.fr/ https://sites.google.com/view/blaise-yvert/accueil https://neurosciences.univ-grenoble-alpes.fr/ http://www.braincom-project.eu/

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Josh Tenenbaum speaking in Developing Minds global online lecture series, January 27, 16:00 UTC
by Jochen Triesch Jan. 17, 2022

Jan. 17, 2022

Dear colleagues, you are cordially invited to the following talk in the Developing Minds global online lecture series (https://sites.google.com/view/developing-minds-series/home) Josh Tenenbaum, MIT "Reverse Engineering Human Cognitive Development: What do we start with, and how do we learn the rest?“ This live event will take place on: January 27, 2022 16:00 UTC (Coordinated Universal Time) 17:00 CET (Central European Time) 11:00 EST (Eastern Standard Time) 01:00 JST, January 28 (Japan Standard Time) Abstract: What would it take to build a machine that grows into intelligence the way a person does — that starts like a baby, and learns like a child!? AI researchers have long debated the relative value of building systems with strongly pre-specified knowledge representations versus learning representations from scratch, driven by data. However, in cognitive science, it is now widely accepted that the analogous “nature versus nurture?” question is a false choice: explaining the origins of human intelligence will most likely require both powerful learning mechanisms and a powerful foundation of built-in representational structure and inductive biases. I will talk about our efforts to build models of the starting state of the infant mind, as well as the learning algorithms that grow knowledge through early childhood and beyond. These models are expressed as probabilistic programs, defined on top of simulation engines that capture the basic dynamics of objects and agents interacting in space and time. Learning algorithms draw on techniques from program synthesis and probabilistic program induction. I will show how these models are beginning to capture core aspects of human cognition and cognitive development, in terms that can be useful for building more human-like AI. I will also talk about some of the major outstanding challenges facing these and other models of human learning. Bio: Josh Tenenbaum is Professor of Computational Cognitive Science at MIT in the Department of Brain and Cognitive Sciences, the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for Brains, Minds and Machines (CBMM). He received his PhD from MIT in 1999, and taught at Stanford from 1999 to 2002. His long-term goal is to reverse-engineer intelligence in the human mind and brain, and use these insights to engineer more human-like machine intelligence. His current research focuses on the development of common sense in children and machines, the neural basis of common sense, and models of learning as Bayesian program synthesis. His research group's papers have been recognized with awards at multiple conferences in Cognitive Science, Computer Vision, AI, Reinforcement Learning and Decision Making, and Robotics. He is the recipient of the Distinguished Scientific Award for Early Career Contributions in Psychology from the American Psychological Association (2008), the Troland Research Award from the National Academy of Sciences (2011), the Howard Crosby Warren Medal from the Society of Experimental Psychologists (2016), the R&D Magazine Innovator of the Year award (2018), and a MacArthur Fellowship (2019). He is a fellow of the Cognitive Science Society, the Society for Experimental Psychologists, and a member of the American Academy of Arts and Sciences. Web: https://web.mit.edu/cocosci/josh.html To attend the talk, please register at: https://sites.google.com/view/developing-minds-series/home Kind regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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fully funded PhD position, Univ. of Groningen, NL
by Michael Biehl Jan. 17, 2022

Jan. 17, 2022

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. 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 contact M. Biehl. ---------------------------------------------------------- Prof. Dr. 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 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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