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NMA histroy effect porject

The scientific question

How does trial history contribute to trial-to-trial variability?

Brief scientific background

Scientific context: Trials matched for stimuli exhibit variability in behavior. Stimulus and trial outcome history (behavior and neural activity) may explain a portion of this variance.

Data set

IBL dataset (Behavioral data)

Proposed analyses

Logistic regression; general linear model; reinforcement learning; decision making Logistic regression to predict the response of the current trial using trial history information

Theoretical predictions

The previous several (e.g., 10) trials’ reward unequivalently affect the response in the current trial, closer trials have heavier weights than further ones. The current trial with repeated stimulus features from the last trial would improve mice’s RT and accuracy.

Possible alternative outcomes

Previous trials have similar effect on the current trial. The current trial with similar stimulus features (e.g., contrast 70-30 vs 80-20) from the last trial would improve RT and accuracy.

What would results mean if predictions were true?

Trial history indeed contributes to trial-to-trial variability. The response of the current trial is a combination of current decision-making and accumulations of past-experiences. The trial history of the stimulus physical properties have a strong modulation on mice’s performance.

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Code of history effect project at NMA 2020.

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