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Neuron· 2026Q1

Inferring brain-wide interactions using data-constrained recurrent neural network models

Matthew G. Perich, Charlotte Arlt, Sofia Soares, Siyan Zhou et al.

Short summary

A new method, current-based decomposition (CURBD), uses data-constrained recurrent neural networks to infer directional communication currents between multiple brain regions simultaneously, validated across species.

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Field: Cognitive Neuroscience

Cognitive NeuroscienceNeuroscience