Our paper “The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks” is now published in Nature Neuroscience. https://www.nature.com/articles/s41593-023-01460-y Sensory networks in our brain represent environmental objects as points onContinue reading
Tag: learning
Axel awarded an SNSF Swiss Postdoctoral Fellowship
Congratulations, Axel (woot woot), for being awarded an SNSF Swiss Postdoctoral Fellowship, the interim Swiss equivalent of a Marie Curie European Fellowship, to work on fundamental questions pertaining to neuronal circuit architectures and learning. WeContinue reading
Hebbian plasticity could be the brain’s trick to make self-supervised learning work
Please take a look at our new preprint “The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks.” https://biorxiv.org/cgi/content/short/2022.03.17.484712v2 In this work led by Manu Srinath Halvagal we argue thatContinue reading
Hiring: Context-dependent information processing in biological neural networks
We are looking for a Ph.D. student to work on context-dependent information processing in biologically inspired neural networks. We will investigate the effect of stereotypical circuit motifs and neuromodulation on neural information processing and learningContinue reading
Paper: Brain-Inspired Learning on Neuromorphic Substrates
I’m happy to share our new overview paper (https://ieeexplore.ieee.org/document/9317744, preprint: arxiv.org/abs/2010.11931) on brain-inspired learning on neuromorphic substrates in (spiking) recurrent neural networks. We systematically analyze how the combination of Real-Time-Recurrent Learning (RTRL; Williams and Zipser,Continue reading
Hiring: Cortical models of predictive processing and learning
We are looking for an intrepid Ph.D. candidate to work on theoretical models of predictive processing and learning. This collaborative project with the Keller Lab is based on the hypothesis that cortical circuits build modelsContinue reading
Talk at TU Berlin on Network and Plasticity Dynamics
I am delighted to get the chance to present my work on learning in spiking neural networks on Tuesday, 15th of May 2018 at 10:15am at TU Berlin. Title: What can we learn about synapticContinue reading
Role of complex synapses in continual learning
Excited that our preprint “Improved multitask learning through synaptic intelligence” just went life on the arXiv (https://arxiv.org/abs/1703.04200). This article, by Ben Poole, Surya and myself, illustrates the benefits of complex synaptic dynamics on continual learningContinue reading
Upcoming talk at COSYNE workshop “Learning in multi-layer spiking neural networks”
I am very much looking forward to presenting some recent work with Surya on learning in spiking neural networks at the CoSyNe workshop “Deep learning” and the brain (6.20–6.50p on Monday, 27 February 2017 inContinue reading