Article

Training stochastic stabilized supralinear networks by dynamics-neutral growth

2022-10-21

Abstract excerpt

There continues to be a trade-off between the biological realism and performance of neural networks. Contemporary deep learning techniques allow neural networks to be trained to perform challenging computations at (near) human-level, but these networks typically violate key biological constraints. More detailed models of biological neural networks can incorporate many of these constraints but typically suffer from...

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Literature Corpus work: d02e15ef-a469-5deb-acc2-52b64a59b485
DOI: 10.1101/2022.10.19.512820

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