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贝叶斯惊喜塑造了躯体感觉皮层回路中的神经反应。

Bayesian surprise shapes neural responses in somatosensory cortical circuits.

机构信息

Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland.

Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland.

出版信息

Cell Rep. 2023 Feb 28;42(2):112009. doi: 10.1016/j.celrep.2023.112009. Epub 2023 Jan 24.

DOI:10.1016/j.celrep.2023.112009
PMID:36701237
Abstract

Numerous psychophysical studies show that Bayesian inference governs sensory decision-making; however, the specific neural circuitry underlying this probabilistic mechanism remains unclear. We record extracellular neural activity along the somatosensory pathway of mice while delivering sensory stimulation paradigms designed to isolate the response to the surprise generated by Bayesian inference. Our results demonstrate that laminar cortical circuits in early sensory areas encode Bayesian surprise. Systematic sensitivity to surprise is not identified in the somatosensory thalamus, rather emerging in the primary (S1) and secondary (S2) somatosensory cortices. Multiunit spiking activity and evoked potentials in layer 6 of these regions exhibit the highest sensitivity to surprise. Gamma power in S1 layer 2/3 exhibits an NMDAR-dependent scaling with surprise, as does alpha power in layers 2/3 and 6 of S2. These results show a precise spatiotemporal neural representation of Bayesian surprise and suggest that Bayesian inference is a fundamental component of cortical processing.

摘要

大量心理物理学研究表明,贝叶斯推理支配着感觉决策;然而,这种概率机制背后的特定神经回路仍不清楚。我们在小鼠的体感通路中记录了细胞外神经活动,同时提供了旨在分离贝叶斯推理产生的惊喜反应的感觉刺激范式。我们的结果表明,早期感觉区域的皮层层状回路对贝叶斯惊喜进行编码。体感丘脑并没有系统地对惊喜敏感,而是在初级(S1)和次级(S2)体感皮层中出现。这些区域的第 6 层的多单位尖峰活动和诱发电位对惊喜表现出最高的敏感性。S1 层 2/3 的伽马功率与惊喜呈 NMDAR 依赖性比例缩放,S2 的第 2/3 层和第 6 层的阿尔法功率也是如此。这些结果显示了贝叶斯惊喜的精确时空神经表示,并表明贝叶斯推理是皮层处理的基本组成部分。

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