AGhaderi/NDDM
Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.
This project helps cognitive scientists and neuroscientists integrate single-trial brain activity (EEG) with behavioral data (response time and accuracy) to understand how decisions are made. It takes raw EEG and behavioral performance data, processing it to reveal the underlying cognitive parameters of decision-making. Researchers studying brain-behavior relationships would find this useful for evaluating hypotheses and predicting outcomes.
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Use this if you need to jointly analyze single-trial EEG measures and behavioral decision-making data to build integrated neurocognitive models.
Not ideal if your research does not involve the simultaneous, single-trial analysis of both EEG and behavioral metrics.
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18
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7
Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 04, 2024
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