Graduate Program in Neuroscience, Stony Brook University, Stony Brook, New York, United States of America.
Center for Neural Circuit Dynamics, Stony Brook University, Stony Brook, New York, United States of America.
PLoS Comput Biol. 2023 Feb 7;19(2):e1010865. doi: 10.1371/journal.pcbi.1010865. eCollection 2023 Feb.
The mouse gustatory cortex (GC) is involved in taste-guided decision-making in addition to sensory processing. Rodent GC exhibits metastable neural dynamics during ongoing and stimulus-evoked activity, but how these dynamics evolve in the context of a taste-based decision-making task remains unclear. Here we employ analytical and modeling approaches to i) extract metastable dynamics in ensemble spiking activity recorded from the GC of mice performing a perceptual decision-making task; ii) investigate the computational mechanisms underlying GC metastability in this task; and iii) establish a relationship between GC dynamics and behavioral performance. Our results show that activity in GC during perceptual decision-making is metastable and that this metastability may serve as a substrate for sequentially encoding sensory, abstract cue, and decision information over time. Perturbations of the model's metastable dynamics indicate that boosting inhibition in different coding epochs differentially impacts network performance, explaining a counterintuitive effect of GC optogenetic silencing on mouse behavior.
小鼠味觉皮层(GC)除了进行感官处理外,还参与味觉引导的决策。在持续的和刺激引发的活动中,啮齿动物 GC 表现出亚稳态的神经动力学,但这些动力学在基于味觉的决策任务的背景下如何演变尚不清楚。在这里,我们采用分析和建模方法来:i)从执行感知决策任务的小鼠 GC 记录的整体尖峰活动中提取亚稳态动力学;ii)研究该任务中 GC 亚稳定性的计算机制;iii)建立 GC 动力学与行为表现之间的关系。我们的结果表明,在感知决策过程中 GC 的活动是亚稳态的,并且这种亚稳性可能作为随时间顺序编码感官、抽象线索和决策信息的基础。对模型亚稳态动力学的干扰表明,在不同的编码时期增强抑制作用会对网络性能产生不同的影响,这解释了 GC 光遗传学沉默对小鼠行为的一种反直觉影响。