| RRC ID |
84294
|
| 著者 |
Chen H, Kunimatsu J, Oya T, Imaizumi Y, Hori Y, Matsumoto M, Tsubo Y, Hikosaka O, Minamimoto T, Naya Y, Yamada H.
|
| タイトル |
Formation of brain-wide neural geometry during visual item recognition in monkeys.
|
| ジャーナル |
iScience
|
| 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.
|
| 巻・号 |
28(3)
|
| ページ |
111936
|
| 公開日 |
2025-3-21
|
| DOI |
10.1016/j.isci.2025.111936
|
| PII |
S2589-0042(25)00196-8
|
| PMID |
40034850
|
| PMC |
PMC11875189
|
| IF |
4.447
|
| リソース情報 |
| ニホンザル |
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