Uncertainty estimation with prediction-error circuits

Loreen Hertäg

doi:10.1038/s41467-025-58311-6

2025-03-28

Loreen Hertäg *

Katharina A. Wilmes

Claudia Clopath

DOI：10.1038/s41467-025-58311-6

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摘要

En 中文

神经网络持续整合嘈杂的感官刺激与预测，而这些预测往往并不完全匹配，这要求大脑根据其不确定性来结合这些相互冲突的前馈和反馈输入。然而，大脑如何追踪刺激和预测的不确定性仍不清楚。在此，我们展示了一个层级预测误差网络能够通过正向和负向预测误差神经元来估计感官和预测的不确定性。与先前假说一致，我们证明神经网络在感官输入嘈杂且环境稳定时更依赖预测。通过扰动预测误差电路中的抑制性中间神经元，我们揭示了它们在不确定性估计和输入加权中的作用。最后，我们将模型与偏向性感知联系起来，展示了刺激和预测不确定性如何促成收缩偏向。

Keyword:

VISUAL-CORTEX

MULTISENSORY INTEGRATION

BAYESIAN INTEGRATION

NEURONS

REPRESENTATION

INTERNEURONS

CONFIDENCE

MODULATION

DISTINCT

MODEL

期刊

Nature Communications

IF:

15.7

论文数:

9.3W

被引数:

91.2W

机构

Univ Bern

学者数:

1.6K

论文数: 862

被引数: 348

TU Berlin

学者数:

论文数: 49

被引数: 2

引用论文

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2022-03-11

OAAI

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