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Found 3 papers, 1 papers with code
One nose but two nostrils: Learn to align with sparse connections between two olfactory cortices
We next compared the alignment performance of local Hebbian rule and the global stochastic-gradient-descent (SGD) learning for artificial neural networks.
Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization
In this paper, we consider a new variant for principal component analysis (PCA), aiming to capture the grouping and/or sparse structures of factor loadings simultaneously.
Contrastive Similarity Matching for Supervised Learning
We propose a novel biologically-plausible solution to the credit assignment problem motivated by observations in the ventral visual pathway and trained deep neural networks.
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