The architecture of msDyNODE applied to multiscale LFP and firing rate.

(a) Firing rate-Firing rate model follows the firing-rate model. LFP-LFP model follows the Jansen-Rit model. Cross-scale connectivity between firing rates and LFPs is added between latent variables of two systems. (b) The schematics of msDyNODE for mult...

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Bibliographic Details
Main Author:	Yin-Jui Chang (7435466) (author)
Other Authors:	Yuan-I Chen (4578928) (author), Hannah M. Stealey (20384277) (author), Yi Zhao (14034) (author), Hung-Yun Lu (20384280) (author), Enrique Contreras-Hernandez (20384283) (author), Megan N. Baker (20384286) (author), Edward Castillo (10284715) (author), Hsin-Chih Yeh (61739) (author), Samantha R. Santacruz (20384289) (author)
Published:	2024
Subjects:	Biophysics Genetics Neuroscience Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified mechanistic multiscale studies despite recent advances derived causal interactions collective activity represented n </ u e </ u dy </ u div >< p </ u population activity brain activity work offers underlying directionality recording locations new approach neural signals neural mechanisms multimodal measurements hierarchical neuroanatomy electrophysiological experiments cale neural aligned well
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The architecture of msDyNODE applied to multiscale LFP and firing rate.

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