Formation of Brain-wide Neural Geometry During Visual Item Recognition in Monkeys

Overview

Journal iScience

Publisher Cell Press

Date 2025 Mar 4

PMID 40034850

Authors

He Chen

Jun Kunimatsu

Tomomichi Oya

Yuri Imaizumi

Yukiko Hori

Masayuki Matsumoto

Yasuhiro Tsubo

Okihide Hikosaka

Takafumi Minamimoto

Yuji Naya

Hiroshi Yamada

Affiliations

Soon will be listed here.

Abstract

Neural dynamics are thought to reflect computations that relay and transform information in the brain. Previous studies have identified the neural population dynamics in many individual brain regions as a trajectory geometry, preserving a common computational motif. However, whether these populations share particular geometric patterns across brain-wide neural populations remains unclear. Here, by mapping neural dynamics widely across temporal/frontal/limbic regions in the cortical and subcortical structures of monkeys, we show that 10 neural populations, including 2,500 neurons, propagate visual item information in a stochastic manner. We found that visual inputs predominantly evoked rotational dynamics in the higher-order visual area, TE, and its downstream striatum tail, while curvy/straight dynamics appeared frequently downstream in the orbitofrontal/hippocampal network. These geometric changes were not deterministic but rather stochastic according to their respective emergence rates. Our meta-analysis results indicate that visual information propagates as a heterogeneous mixture of stochastic neural population signals in the brain.

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