Allen研究所 Dr. Anton Arkhipov に最近Nature Neuroscienceに出版された、 “Integrating multimodal data for bio-realistic simulations of brain circuits”  について発表していただく予定です。

Presentator: Anton Arkhipov (Allen Institute)

Date: 2025/6/13 Fri 10:30-12:00 (JST), 6/12 Thr 18:30-20:00 at Seattle time

Place: Zoom (The registered page is above and same as usual link)

Title: Integrating multimodal data for bio-realistic simulations of brain circuits

Recent Nature Neuroscience Paper: https://www.nature.com/articles/s41593-025-01904-7.pdf

Abstract: A central question in neuroscience is how the structure of the brain determines its activity and function. To explore this systematically, we develop large-scale bio-realistic simulations of brain circuits, which integrate a broad array of experimental data: Distribution and morpho-electric properties of different neuron types; Connection probabilities, synaptic weights, axonal delays, and dendritic targeting rules; And a representation of inputs into the simulated circuits from other parts of the brain. We will discuss this approach focusing on the 230,000-neuron model of mouse primary visual cortex (area V1). Simulations of neural activity in the model match experimental recordings in vivo on a number of metrics, such as firing rates, direction selectivity, and others. Applications include the following problems of broad interest: Understanding how architecture of brain circuit gives rise to the observed functional activity; Learning of behavioral and computational tasks in biological and artificial networks; Generation of the extracellular electric potential due to synaptic activity in the cortex. The model is shared freely with the community via brain-map.org, as are the datasets it is based on.