msDyNODE captures msEC patterns underlying behaviors.

msDyNODE captures msEC patterns underlying behaviors.

<p>(<b>a</b>) Workflow to obtain the private pattern of connectivity matrix for each target direction from msDyNODE-inferred msEC. (<b>b</b>) Circular connectivity graphs of lower (left) and upper (right) triangular msEC matrix for each target direction. (<b>c<...

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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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