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Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. Hosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings, please contact Arne Diehl: Continue readingTheory of Neuromorphic Computing
Bio: Trevor Bekolay’s primary research interest is in learning and memory. In his Master’s degree, he explored how to do supervised, unsupervised, and reinforcement learning in networks of biologically plausible Continue readingNengo – Applied Brain Research
Understanding the human brain relies for a large part on work in animal models, which necessitates a careful cross-species comparison. The prefrontal cortex (PFC) is particularly relevant in this regard Continue readingAnatomy and function of the prefrontal cortex across species
The International Joint Conference on Neural Networks is organized jointly by the International Neural Network Society and the IEEE Computational Intelligence Society, and is the premiere international meeting for researchers Continue readingDeadline: International Joint Conference on Neural Networks (IJCNN)
Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. Hosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings, please contact Arne Diehl: Continue readingTheory of Neuromorphic Computing
Bio: Giorgia Dellaferrera has completed her PhD in computational neuroscience at the Institute of Neuroinformatics (ETH Zurich and the University of Zurich) and IBM Research Zurich with Prof. Indiveri, Prof. Continue readingGiorgia Dellaferrera: PEPITA – A forward-forward alternative to backpropagation
Workshop theme for 2023: “Lessons from machine learning and neuroscience for building efficient intelligent systems” For more information, see the official website.
Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. Hosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings, please contact Arne Diehl: Continue readingTheory of Neuromorphic Computing
There will be great opportunities for data scientists looking to expand their knowledge, companies looking for project partnerships, cognitive psychologists who need the inspiration to improve their technology and more. Continue readingEBRAINS – a solution-driven approach to enable brain science and technologies
Bio: Jason K. Eshraghian is an Assistant Professor at the Department of Electrical and Computer Engineering at UC Santa Cruz, CA, USA. Prior to that, he was a Post-Doctoral Researcher Continue readingHands-on session with snnTorch
Computing with Dynamics Abstract: Is the brain a computer? Or is it a dynamical system? While computation serves as a useful metaphor for cognitive processes, as we delve into the Continue readingINRC Forum: Bruno Olshausen
The annual COSYNE conference provides an inclusive forum for the exchange of experimental and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems are built Continue readingComputational and Systems Neuroscience (COSYNE) 2023
Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks Abstract: In a recent paper Wunderlich and Pehle (2021) introduced the EventProp algorithm that enables training spiking neural Continue readingINRC Forum: Thomas Nowotny
We are happy to announce the “Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, organized with generous support by the Volkswagen Foundation. The conference will take place the 25th Continue readingAbstract Deadline: International Conference on Neuromorphic, Natural and Physical Computing
