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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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11/14/2022
An online algorithm for contrastive Principal Component Analysis
Finding informative low-dimensional representations that can be computed...
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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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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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10/01/2020
A biologically plausible neural network for multi-channel Canonical Correlation Analysis
Cortical pyramidal neurons receive inputs from multiple distinct neural ...
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11/26/2019
Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks
Motivated by the flexibility of biological neural networks whose connect...
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05/14/2019
Task-Driven Data Verification via Gradient Descent
We introduce a novel algorithm for the detection of possible sample corr...
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04/11/2019
Inferring the quantum density matrix with machine learning
We introduce two methods for estimating the density matrix for a quantum...
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03/11/2019
Continual Learning via Neural Pruning
We introduce Continual Learning via Neural Pruning (CLNP), a new method ...
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06/04/2018