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08/25/2023
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Neurons in early sensory areas rapidly adapt to changing sensory statist...
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02/20/2023
A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
An established normative approach for understanding the algorithmic basi...
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01/27/2023
Statistical whitening of neural populations with gain-modulating interneurons
Statistical whitening transformations play a fundamental role in many co...
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11/14/2022
An online algorithm for contrastive Principal Component Analysis
Finding informative low-dimensional representations that can be computed...
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09/21/2022
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
Early sensory systems in the brain rapidly adapt to fluctuating input st...
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11/30/2020
A biologically plausible neural network for local supervision in cortical microcircuits
The backpropagation algorithm is an invaluable tool for training artific...
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10/23/2020
A simple normative network approximates local non-Hebbian learning in the cortex
To guide behavior, the brain extracts relevant features from high-dimens...
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10/23/2020
A biologically plausible neural network for Slow Feature Analysis
Learning latent features from time series data is an important problem i...
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10/23/2020
Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis
Blind source separation, the problem of separating mixtures of unknown s...
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10/01/2020