A neuronal least-action principle for real-time learning in cortical circuits

A neuronal least-action principle for real-time learning in cortical circuits

One of the most fundamental laws of physics is the principle of least action. Motivated by its predictive power, we introduce a neuronal least-action principle for cortical processing of sensory streams to produce appropriate behavioral outputs in real time. The principle postulates that the voltage...

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Bibliographic Details
Main Authors: Walter Senn, Dominik Dold, Akos F Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A Petrovici
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2024-12-01
Series:eLife
Subjects:
computational neuroscience
theoretical brain research
sensory-motor learning
synaptic plasticity
cortical dynamics
error-minimization
Online Access:https://elifesciences.org/articles/89674
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https://elifesciences.org/articles/89674

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