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Article

Sparse mixed codes on shared manifolds for human-like spatial attention in artificial neural networks

2026-02-17

Abstract excerpt

Spatial attention is often partitioned into endogenous, exogenous, and social forms, yet it remains unclear whether a single neural circuit can support all three and how their population codes are organized. Here we trained recurrent artificial neural networks (ANNs) with convolutional sensory front-ends on three classic cueing paradigms (central, peripheral, and gaze cues) to reproduce human reaction time (RT) pr...

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Literature Corpus work
0e22c067-d618-57c9-bc98-e18c81dad756
DOI
10.64898/2026.02.15.705979
Open publication

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Sparse mixed codes on shared manifolds for human-like spatial attention in artificial neural networksDOI 10.64898/2026.02.15.705979
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