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05/30/2023
Synaptic Weight Distributions Depend on the Geometry of Plasticity
Most learning algorithms in machine learning rely on gradient descent to...
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12/16/2022
Efficient Conditionally Invariant Representation Learning
We introduce the Conditional Independence Regression CovariancE (CIRCE),...
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06/22/2021
Towards Biologically Plausible Convolutional Networks
Convolutional networks are ubiquitous in deep learning. They are particu...
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06/15/2021
Self-Supervised Learning with Kernel Dependence Maximization
We approach self-supervised learning of image representations from a sta...
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06/12/2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
The state-of-the art machine learning approach to training deep neural n...
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10/23/2019
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks
Reservoir computing is a powerful tool to explain how the brain learns t...
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03/19/2019