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

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

<p>(<b>a</b>) 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>b</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
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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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Summary:<p>(<b>a</b>) 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>b</b>) The schematics of msDyNODE for multiscale firing rate-LFP model.</p>

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