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Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling

science

Humans and animals exhibit a remarkable ability to selectively filter out irrelevant information based on context. However, the neural mechanisms underlying this context-dependent selection process remain elusive. Recently, the issue of discriminating between two prevalent selection mechanisms-input modulation versus selection vector modulation-with neural activity data has been highlighted as one of the major challenges in the study of individual variability underlying context-dependent...

NCBI     Jul 03, 2025