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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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02/16/2022
Spatial Transformer K-Means
K-means defines one of the most employed centroid-based clustering algor...
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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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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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02/10/2021
A Neural Network with Local Learning Rules for Minor Subspace Analysis
The development of neuromorphic hardware and modeling of biological neur...
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12/16/2020
Interpretable Image Clustering via Diffeomorphism-Aware K-Means
We design an interpretable clustering algorithm aware of the nonlinear s...
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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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02/21/2017