Discretized representations in V1 predict suboptimal orientation discrimination

被引:0
作者
Corbo, Julien [1 ]
Erkat, O. Batuhan [1 ,2 ]
McClure Jr, John [1 ,2 ]
Khdour, Hussein [1 ,2 ]
Polack, Pierre-Olivier [1 ]
机构
[1] Rutgers Univ Newark, Ctr Mol & Behav Neurosci, Newark, NJ 07102 USA
[2] Rutgers Univ Newark, Grad Program Neurosci, Newark, NJ USA
基金
美国国家卫生研究院;
关键词
MOUSE BARREL CORTEX; VISUAL-CORTEX; TEMPORAL FREQUENCY; BAYESIAN-INFERENCE; POPULATION CODES; NEURONS; SELECTIVITY; MODULATION; MECHANISMS; CIRCUITS;
D O I
10.1038/s41467-024-55409-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Neuronal population activity in sensory cortices is the substrate for perceptual decisions. Yet, we still do not understand how neuronal information content in sensory cortices relates to behavioral reports. To reconcile neurometric and psychometric performance, we recorded the activity of V1 neurons in mice performing a Go/NoGo orientation discrimination task. We found that, around the discrimination threshold, V1 does not represent the orientation of the stimuli as canonically expected. Instead, it forms categorical representations characterized by a relocation of activity at task-relevant domains of the orientation representational space. The relative neuronal activity at those discrete domains accurately predicted the probabilities of the animals' decisions. Our results thus suggest that the categorical integration of discretized feature representations from sensory cortices explains perceptual decisions.
引用
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页数:16
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