Neurons as Canonical Correlation Analyzers

Neurons as Canonical Correlation Analyzers

Normative models of neural computation offer simplified yet lucid mathematical descriptions of murky biological phenomena. Previously, online Principal Component Analysis (PCA) was used to model a network of single-compartment neurons accounting for weighted summation of upstream neural activity in...

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Bibliographic Details
Main Authors: Cengiz Pehlevan, Xinyuan Zhao, Anirvan M. Sengupta, Dmitri Chklovskii
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
neural networks
Canonical Correlation Analysis (CCA)
Hebbian plasticity
pyramidal neuron
biologically plausible learning
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2020.00055/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2020.00055/full

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