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Computational models of category-selective brain regions enable high-throughput tests of selectivity

Psychology

Computational models of category-selective brain regions enable high-throughput tests of selectivity

N. A. R. Murty, P. Bashivan, et al.

Discover groundbreaking research by N. Apurva Ratan Murty, Pouya Bashivan, and colleagues as they unveil artificial neural network-based encoding models that predict brain responses to images with unprecedented accuracy, validating domain-specific theories in human cognition. This innovative approach enhances our understanding of how we perceive faces, places, and bodies, paving the way for future explorations in cognitive neuroscience.

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