carsonSgit/Mice-Neural-Decoding-ML
🧠Predicting mouse navigation through multi-plane L2/3 retrosplenial cortex activity using machine-learning & neural decoding, based on the findings of Tseng et al. (2022) in their neuron paper.
This project helps neuroscientists understand how mouse brain activity relates to navigation decisions in a maze. By analyzing calcium imaging data from specific brain regions (like the retrosplenial cortex), it predicts a mouse's position and movement. The input is neural activity data, and the output is a prediction of the mouse's forward and lateral movement within the maze. This tool is for researchers studying brain function and spatial memory.
Use this if you are a neuroscientist working with mouse calcium imaging data and want to predict navigation behaviors from neural activity.
Not ideal if you are not working with multi-plane L2/3 retrosplenial cortex activity data or are interested in predicting different types of behavior.
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Python
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Last pushed
Nov 17, 2025
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