- Comp-neuro - lists.cnsorg.org

State of the Art Methods for Brain Data Analysis
by Dimitris Pinotsis June 14, 2022

June 14, 2022

State of the Art Methods for Brain Data Analysis- A workshop for computational, theoretical and cognitive neuroscientists taking place on July 6 at City— Universıty of London.versıty of London. . This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will be of interest to computational and cognitive neuroscientists who are keen on brain imaging, computational psychiatry and network-level dynamics. Registration is free. To register, please fill in this form. For any questions, please email braindatanalysis(a)gmail.com Further details: This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will review techniques that allow us to access large-scale brain networks, based on deep neural networks, dynamical systems and probabilistic inference. It will also provide updates about how recent developments allow us to map and modulate brain activity and understand how information processing breaks down in disease.

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PhD and postdoctoral positions at the Technical University of Munich
by Gjorgjieva, Julijana June 14, 2022

June 14, 2022

We invite applications for PhD and postdoctoral positions at the Computation in Neural Circuits group led by Prof. Julijana Gjorgjieva at the Technical University of Munich in Germany. Using mathematical and computational approaches, we study how neurons and the synaptic connections between them tune their properties during early development and young life to ensure appropriate network dynamics and behavior. Another interest relates to how adult function and behavior emerge from a diversity of mechanisms, including synaptic plasticity, sensory noise, and biophysical constraints. We address these questions at different spatial scales, from the organization of individual synaptic inputs on dendrites to large-scale networks of higher order cortex. We are especially interested in these processes during development before and shortly after birth when the brain is highly plastic, but general aspects of learning and memory, especially under naturalistic stimuli and behaviors are also of interest. We collaborate with different experimental research groups in the US, UK, Netherlands, Spain and Germany and benefit from interactions with the strong neuroscience community in Munich, including the SyNergy Cluster of Excellence. Our applications range across animals from rodent to Drosophila to reptiles and humans. Successful applicants can choose from a range of projects including theoretical model development and analytical calculations, numerical simulations, and applications to rich datasets from collaborating labs. Open topics include: - Formation and co-organization of excitatory and inhibitory synaptic inputs on dendrites, including dendritic growth, receptive field formation and alignment, and emergence of tuning. - Development of biophysical models of synaptic plasticity at the cellular and subcellular levels and investigation of their functional consequences. - Reliable top-down modulation of network dynamics during synaptic plasticity, including interactions between different information streams. - Mechanistic dissection of cortical computations driven by different cell types, especially interneurons. - Modeling network attractor states of resilience, and synaptic and homeostatic plasticity processes to rebalance network states after perturbation. Please check our website for recent publications: https://www1.ls.tum.de/compneuro/publications/ Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and excellent programming skills (Julia, Python, Matlab or C/C++). The positions can start at any time. For more information or an informal discussion, email me at gjorgjieva(a)tum.de<mailto:gjorgjieva@tum.de>. To apply for these positions, please email the following: 1. A curriculum vitae 2. A description of research interests, including a motivation for why you chose to apply to our group 3. A writing sample, either a paper or code 4. Contact details for 2-3 referees 5. Transcripts (if applying for a PhD position) ----------------------------------------- Julijana Gjorgjieva, PhD Associate Professor of Computational Neuroscience Technical University of Munich Maximus-von-Imhof-Forum 3 85354 Freising, Germany Research Group Leader Max Planck Institute for Brain Research Frankfurt, Germany office: +49 8161 71 2709 https://www1.ls.tum.de/compneuro

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invitation to join an open collaborative comp neuro research project
by Goodman, Daniel F M June 13, 2022

June 13, 2022

Hi everyone, We have started a new collaborative, open comp neuro research project (in the spirit of the Polymath project<https://en.wikipedia.org/wiki/Polymath_Project> that was a huge success in mathematics). Everyone is invited to participate, and anyone who does contribute will get to be an author. Some details below, but you can just jump straight in to the website and take a look here: https://comob-project.github.io/snn-sound-localization/ The idea is to experiment with doing science in the spirit of collaboration rather than competition. We've set up an initial research topic and some code/results, and then you choose what direction you want to take, get feedback from others and give feedback to them on their ideas. We have an infrastructure that makes all contributions appear automatically on the website. We're running a discussion group, and planning local workshops. The first one of those will be in Paris on July 8th, just before FENS. This project grew out of my Cosyne tutorial<https://neural-reckoning.github.io/cosyne-tutorial-2022/> on using machine learning methods with spiking neural networks (surrogate gradient descent). It's a relatively easy topic to get into and a lot of low hanging fruit to pick, so hopefully ideal for this approach. If you watch the tutorial video and run the notebooks, you're already at the boundary of new research. Contributing is super easy. Go to our GitHub repo, open it up and start running the code on Google Colab (one click, no local installation required). Use one of the existing notebooks to start your own, commit the changes (via pull request for the first one), and your notebook automatically appears on the website. Detailed instructions on the website<https://comob-project.github.io/snn-sound-localization/Contributing.html>. Thanks, and hope to see your contributions and discussion soon! Dan Goodman<http://neural-reckoning.org/> Tomas Fiers<https://tomasfiers.net/> Marcus Ghosh<https://neural-reckoning.org/marcus_ghosh.html> Rory Byrne<https://twitter.com/ryrobyrne>

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08 July 22 FENS satellite event: 'EBRAINS Research Infrastructure Symposium'
by Zélie Tournoud June 13, 2022

June 13, 2022

Dear everyone, Please find below the announcement of EBRAINS FENS Satellite event 'EBRAINS Research Infrastructure Symposium: addressing grand challenges in brain research'. In between sessions, it will be possible to visit the EBRAINS showroom with hands-on demonstrations of the platform co-organized by EITN. Registration is free but mandatory to attend, see information below. Have an excellent day, *Zélie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 –*NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org/> _____ EBRAINS is organising a satellite event at the FENS Forum 2022 on 8 July from 8:30 – 17:30 CEST. The EBRAINS FENS satellite event, 'EBRAINS Research Infrastructure Symposium: addressing grand challenges in brain research', aims to bring together experimental, clinical and computational neuroscientists. The programme is structured to highlight the bridges between basic and clinical neuroscience and computational neuroscience. It will be structured therefore around four sessions on why, what, how and where to integrate multi-resolution and multi-scale data for neuroscience research. The seminar will be held on July, 8 at INSPE, rue Molitor in Paris (https://www.inspe-paris.fr/visite-virtuelle) Programme: • 08:30 Get-together: Coffee and mingling • 09:00 INTRODUCTION • 09:20 SESSION 1: What are the grand challenges in basic and human neuroscience that currently hamper reproducible the integrating multiscale, multilevel data in a new data infrastructure with tools allowing researchers to use these data. • 10:30 Coffee & posters, EBRAINS showroom • 11:00 SESSION 2: The solutions implemented in EBRAINS Research Infrastructure • 12:30 LUNCH & posters, EBRAINS showroom • 13:30 SESSION 3: Success stories from experimentalists, clinicians, modelers: neuroscience research examples empowered by EBRAINS • 15:15 Coffee & posters, EBRAINS showroom • 16:00 SESSION 4: Perspectives and future • 17:00 – 18:00 ROUND TABLE and summary Registration: Registration is free but mandatory. Register here: https://ebrains.eu/fens-satellite-event/

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“TEX2022: Bringing together Predictive Processes and Statistical Learning” Abstract submission deadline extended
by Yamil Vidal June 13, 2022

June 13, 2022

Dear all, The abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning” has been extended to the 19th of June!! We welcome the submission of abstracts presenting work in the fields of Predictive Processes and Statistical Learning. Work at the interception of these two fields will be particularly appreciated. The results of the evaluation procedure will be announced on the 27th of June. All presentations will be done in person. Presenters of accepted abstracts will be required to register to the event no later than 10th of July. As the event is limited to 100 attendees, we recommend to register early in order to secure a spot. Invited Speakers: - Maria Chait - Lori Holt - Floris de Lange - Clare Press - Lucia Melloni - Ram Frost - Nicola Molinaro - Caspar Schwiedrzik Scientific Committee: - Alejandro Blenkmann - Louisa Bogaerts - Fabienne Chetail - Abhishek Banerjee - Emma Holmes - Dezső Németh You can find more information at the event’s website: https://indico.sissa.it/e/TEX2022 If you are active on Twitter, please consider retweeting the event’s announcement: https://twitter.com/CrepaldiLab/status/1536292945275629568 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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Open PhD position in mathematical/computational modeling of endocannabinoid-mediated synaptic plasticity
by Hugues Berry June 10, 2022

June 10, 2022

Dear colleagues, A PhD position is open in my team at Inria Lyon, France on the modelling of endocannabinoid-mediated synaptic plasticity and its implication in fast learning. The research is a collaboration with the Venance Lab, Centre Interdisciplinaire de Recherche en Biology, Collège de France, Paris. We are looking for a highly motivated candidate with a background in mathematical modelling, dynamical systems, computational neuroscience or computational systems biology and a solid appetite for interactions with experimental neuroscience data. The starting date must be between September and November 2022. More information can be found here: http://www.inrialpes.fr/Berry/Images/PhD_Proposal_2022.pdf Contact me directly for applications. Best regards, Hugues BERRY ------------------------ Deputy scientific director of Inria for digital health and biology Inria Batiment CEI-2 56 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France Tel. (Office): +33 (0)4 72 43 75 01 Tel. (Mobile): + 33 (0)6 70 77 63 39 www.inrialpes.fr/Berry hugues.berry(a)inria.fr

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FENS satellite symposium "Understanding Neural Circuit Evolution" (Jul 7-8, 2022, in Paris and online)
by von Behren, Christina June 10, 2022

June 10, 2022

Dear all, We are happy to announce our FENS satellite symposium "Understanding Neural Circuit Evolution" which will be taking place July 7-8, 2022, in Paris and online. Registration for attending in person or remotely is open until June 23, 2022. The FENS satellite symposium "Understanding Neural Circuit Evolution" will present exciting lines of research into neural circuit evolution from paleobiology to computational neuroscience and to the molecular and genetic generation of neuro-behavioral diversity. Organized by the German Research Foundation Priority Program "Evolutionary Optimization of Neuronal Processing"<https://www.uni-goettingen.de/de/618311.html>, the symposium is designed to make the full spectrum of progress in neural circuit evolution accessible to a wide neuroscience audience. We aim to build bridges between computational, experimental, and paleobiological research approaches, and to foster integrative studies of neural circuit evolution. On July 7 the event starts with an online poster session. On July 8 there are exciting talks on the program, e.g. by Mitya Chklovskii (Flatiron Institute, New York, USA), Maude Baldwin (MPI Biological Intelligence, Seewiesen, Germany), and Lucia Prieto Godino (Francis Crick Institute, London, UK). The symposium is designed as a hybrid event. Registration will be open until June 23, 2022. For further information on program and registration see https://www.uni-goettingen.de/de/660201.html We are very much looking forward to meeting you in Paris (or on the internet). **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Goettingen Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-Düker-Weg 12 37073 Göttingen Tel.: +49-551-39-26675

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Workshop on Trustworthy Artificial Intelligence (CFP)
by Frédéric Jurie June 9, 2022

June 9, 2022

================================================================== Call for Papers: Workshop on Trustworthy Artificial Intelligence, as a part of the ECML/PKDD 22 program. ================================================================== Held in conjunction with ECMLPKDD (https://2022.ecmlpkdd.org/) Website: https://trustworthy-ai-22.sciencesconf.org/ Extended Abstract submission deadline: June 20, 2022 Author notification: July 13, 2022 Camera-ready submission: September 2, 2022 The site will start accepting submissions on May 1, 2022. Workshop date: September 19, 2022 (morning) Location: Grenoble (France), on site workshop with remote connections available About: This workshop will conduct a reflection on the methods and principles allowing the integration of artificial intelligence in critical products and services in a safe, reliable and secure way. Particular attention will be paid to methods for the engineering of innovative industrial products and services integrating AI, the large-scale deployment of industrial systems, as integrating AI is a crucial issue for industrial competitiveness. The scientific challenges include, as example, the construction of AI components with controlled confidence, the construction of data/knowledge to increase trustworthiness in learning or the interaction generating confidence between the user and the AI-based system. Authors are invited to submit their original work in this field and thus contribute to the reflections that will be conducted. The workshop will include oral and poster presentations and will leave a lot of room for exchange and discussion between participants. Topics: - AI based Critical Systems, - Auditability & Accountability, - Explainability and quantitative evaluation of Explainable AI methods, - Non-discrimination & Fairness, - Operational Domain Definition with AI, - Out of Distribution Detection, - Safety & Robustness, - Social Acceptance of Trustworthy AI Systems - System Monitoring, - Trustworthy AI - Trustworthy Human-Computer Interactions Program Committee: - Christine Balagué, Institut Mines Télécom, Palaiseau, France - Bertrand Braunschweig, IRT System X, Palaiseau, France (Workshop Chair) - Elisa Fromont, Univ. Rennes, IUF, Inria, CNRS, IRISA, Rennes, France - Fosca Gianotti, Information Science and Technology Institute “A. Faedo” of the National Research Council, Pisa, Italy - Frédéric Jurie, IRT System X, Palaiseau, France (Workshop Chair) - Foutse Khomh, Polytechnique Montréal, Canada - Clodéric Mars, AI Redefined, Montréal, Canada - Matthias Jakobs, TU Dortmund, Germany - Claire Pagetti, Onera, Toulouse, France - Wojciech Samek, Department of Artificial Intelligence and the Explainable AI Group at Fraunhofer Heinrich Hertz Institute (HHI), Berlin, Germany - Stefan Wrobel, Fraunhofer Institute for Intelligent Analysis andInformation Systems IAIS, Sankt Augustin, Germany

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Free registration is now open for CNS*2022 satellite tutorials: June 27--July 1
by Ankur Sinha June 8, 2022

June 8, 2022

Dear all, Apologies for the cross-posts. The INCF/OCNS Software Working Group is happy to announce that the schedule for the CNS*2022 satellite tutorials from June 27--July 1 has now been published here: https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… Free registration is also now open at: https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-reg… To prevent spam/zoom crashing, links to zoom meetings for the tutorial sessions will be limited to registrants only. Therefore, while registration is free, it is required. The satellite tutorials feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML Please spread the word, and we look forward to seeing you there! -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Workshop on Bio-inspired active AI at CNS*2022 - call for contributed talks
by Thomas Nowotny June 7, 2022

June 7, 2022

Dear all, we will run a workshop on Bio-inspired active AI on Wed. 20 July 2022 at CNS*2022 in Melbourne. The details of the workshop topic are below and a preliminary list of invited talks is at http://users.sussex.ac.uk/~tn41/CNS2022_workshop/ We have time for some contributed talks and invite submissions of short titles/ abstracts. Please send your submission to me (t.nowotny(a)sussex.ac.uk) by Thursday, 30th June 2022. There is one workshop fee waiver available for an early career researcher if they are accepted for a contributed talk. Thanks & kind regards, Thomas --- CNS*2022 Workshop on Bio-inspired active AI<http://users.sussex.ac.uk/~tn41/CNS2022_workshop/> Recent advances in AI and notably in deep learning, have proven incredibly successful in creating solutions to specific complex problems (e.g. beating the best human players at Go, and driving cars through cities). But as we learn more about these approaches, their limitations are becoming more apparent in terms of high energy consumption, fragility, and lack of transferability between tasks. These limitations are particularly apparent when contrasted with naturally evolved intelligence. While no animals can play Go or drive cars, they are incredibly good at doing what they have evolved to do. For instance, ants learn how to forage effectively despite their tiny brains and minimal exploration of their world. We argue this difference comes about because natural intelligence is a property of closed-loop brain-body-environment interactions. Evolved innate behaviours in concert with specialised sensors and neural circuits extract and encode task-relevant information with maximal efficiency, aided by mechanisms of selective attention that focus learning on task-relevant features. In this workshop, we will explore how we can learn from mini-brains, and computational models to better understand intelligence and pave the pathway to building better AI. -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

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