Regression results and model validation for GDX and sham mice.

Regression results and model validation for GDX and sham mice.

<p>We also fit regression and computational models to the GDX and sham data. For regression #1 (A) and regression #3 (B) GDX (purple) and sham (green) sessions for individual mice for both set size = 2 and set size = 4 were averaged together and the mean of each individual was used to generate...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Juliana Chase (20469427) (author)
مؤلفون آخرون: Liyu Xia (11061087) (author), Lung-Hao Tai (20469430) (author), Wan Chen Lin (14055537) (author), Anne G. E. Collins (4011860) (author), Linda Wilbrecht (11061099) (author)
منشور في: 2024
الموضوعات:
Neuroscience
Sociology
Science Policy
Mental Health
Biological Sciences not elsewhere classified
using logistic regression
stay strategy increased
softmax beta parameters
single behavioral session
aid comparative study
reinforcement learning alongside
rapid working memory
odor set sizes
incremental reinforcement learning
adult mice use
back strategies may
associate odor stimuli
strategies mice use
learning concurrent stimulus
wm task translated
short term memory
working memory
adult mice
back strategies
associate stimuli
back perseverative
learning systems
learning rate
learning performance
incremental rl
task experience
simple form
right port
rewards within
receive reward
new models
gonadal hormones
first acquire
findings advance
computational models
comparable task
4 odors
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