오는 6월 1일 목요일에 뇌인지공학프로그램 정기세미나가 개최됩니다.
이번 초청연사는 New York University의 Xiao-Jing Wang 교수님이시며
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In this talk, I will first briefly summarize a model of “cognitive-type” microcircuits capable of working memory and decision-making, with the prefrontal cortex as a quintessential example. This line of research has led us to study multi-region brain systems based on new mesoscopic connectome and physiological experiments. We have developed large-scale cortex modeling of macaque monkey and mouse. By taking into account inter-areal variations, the model naturally gives rise to a hierarchy of timescales, and captures interactions of bottom-up and top-down processes mediated by layer-dependent connections. Moreover, in a complex brain system, routing of information between areas must be flexibly gated according to behavioral demands. We propose such a gating mechanism with a disinhibitory circuit motif implemented by three subtypes of (PV+, SOM+ and VIP+) inhibitory neurons, the latter’s relative distribution varies markedly across the whole cortex. Circuit modeling across levels, combined with training recurrent neural networks at the interface with machine learning, represents a promising approach to elucidate high-dimensional neural dynamics and cognitive functions of the global brain, as well as their deficits associated with psychiatric disorders.