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Taming chaos in neural networks: A biologically plausible way
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
A new tool developed by Helmholtz Munich and the German Center for Diabetes Research and the University of Bonn makes spatial ...
Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.
Songbird HVC sequences arise from a balance of ionic currents and structured inhibition, providing a mechanistic framework for understanding cortical sequence generation.
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