Regularizing hyperparameters of interacting neural signals in the mouse cortex reflect states of arousal.

ABSTRACT: In natural behaviors, multiple neural signals simultaneously drive activation across overlapping brain networks. Due to limitations in the amount of data that can be acquired in common experimental designs, the determination of these interactions is commonly inferred via modeling approaches, which reduce overfitting by finding appropriate regularizing hyperparameters. However, it is unclear whether these hyperparameters can also be related to any aspect of the underlying biological phenomena and help interpret them. We applied a state-of-the-art regularization procedure-automatic locality determination-to interacting neural activations in the mouse posterior cortex associated with movements of the body and eyes. As expected, regularization significantly improved the determination and inter

SUBMITTER: Lyamzin DR 

PROVIDER: S-EPMC11527387 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature