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Disentanglement with Biological Constraints: A Theory of Functional Cell Types

Whittington, James C. R. et al.
arXiv (All) · Papers
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machine-learningneural-and-evolutionary-computingneurons-and-cognition
Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematically prove that simple biological constraints on neurons, namely nonnegativity and energy efficiency in both activity an
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