A neural mechanism of dynamic gating of task-relevant information by top-down influence in primary visual cortex

详细信息    查看全文

• 作者：Akikazu Kamiyama^a ; Kazuhisa Fujita^a ; ^c ; ^{kazu@spikingneuron.net} ; Yoshiki Kashimori^a ; ^b
• 关键词：Top-down influence ; Primary visual cortex ; Perceptual learning ; Neural model
• 刊名：Biosystems
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：150
• 期：Complete
• 页码：138-148
• 全文大小：2391 K
• 卷排序：150

文摘

Visual recognition involves bidirectional information flow, which consists of bottom-up information coding from retina and top-down information coding from higher visual areas. Recent studies have demonstrated the involvement of early visual areas such as primary visual area (V1) in recognition and memory formation. V1 neurons are not passive transformers of sensory inputs but work as adaptive processor, changing their function according to behavioral context. Top-down signals affect tuning property of V1 neurons and contribute to the gating of sensory information relevant to behavior. However, little is known about the neuronal mechanism underlying the gating of task-relevant information in V1. To address this issue, we focus on task-dependent tuning modulations of V1 neurons in two tasks of perceptual learning. We develop a model of the V1, which receives feedforward input from lateral geniculate nucleus and top-down input from a higher visual area. We show here that the change in a balance between excitation and inhibition in V1 connectivity is necessary for gating task-relevant information in V1. The balance change well accounts for the modulations of tuning characteristic and temporal properties of V1 neuronal responses. We also show that the balance change of V1 connectivity is shaped by top-down signals with temporal correlations reflecting the perceptual strategies of the two tasks. We propose a learning mechanism by which synaptic balance is modulated. To conclude, top-down signal changes the synaptic balance between excitation and inhibition in V1 connectivity, enabling early visual area such as V1 to gate context-dependent information under multiple task performances.