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08/02/2023
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training
While effective, the backpropagation (BP) algorithm exhibits limitations...
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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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11/17/2021
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
The brain effortlessly solves blind source separation (BSS) problems, bu...
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11/12/2021
Neural optimal feedback control with local learning rules
A major problem in motor control is understanding how the brain plans an...
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05/12/2021
Informationally complete POVM-based shadow tomography
Recently introduced shadow tomography protocols use classical shadows of...
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02/10/2021
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Learning to detect content-independent transformations from data is one ...
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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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10/01/2020
A biologically plausible neural network for multi-channel Canonical Correlation Analysis
Cortical pyramidal neurons receive inputs from multiple distinct neural ...
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08/21/2019
