Mij values and the width of ALD frequency prior quantify the trial-to-trial variability and the strength of the suppression in the time domain.

(a) Pooled (summed) interaction kernel from two mice with lower Mij values. (b) Summed interaction kernel of two mice with higher Mij</sub&g...

Saved in:

Bibliographic Details
Main Author:	Dmitry R. Lyamzin (19852549) (author)
Other Authors:	Andrea Alamia (513332) (author), Mohammad Abdolrahmani (19852552) (author), Ryo Aoki (2812603) (author), Andrea Benucci (5032244) (author)
Published:	2024
Subjects:	Biochemistry Cell Biology Neuroscience Pharmacology Biotechnology Hematology Mathematical Sciences not elsewhere classified visually evoked responses underlying biological phenomena pupillometry &# 8212 model &# 8217 interacting neural signals interacting neural activations common experimental designs regularization significantly improved optimal model hyperparameters arousal </ p regularization method xlink "> unclear whether seemingly unpredictably ridge regression regularizing hyperparameters reduce overfitting observations could natural behaviors modeling framework help interpret findings demonstrate discovery tools animals measured
Tags:	Add Tag No Tags, Be the first to tag this record!

<i>M</i><sub><i>ij</i></sub> values and the width of ALD frequency prior quantify the trial-to-trial variability and the strength of the suppression in the time domain.