A computational neuroscience project for the Impact Scholar program of Neuromatch Academy (2025) decoding behavioural and stimulus-related variables from neural population activity in the Stringer mouse visual cortex orientations dataset.
This repository contains a Jupyter Notebook workflow for analysing neural activity from the Stringer et al. dataset and training decoding models to reconstruct or predict experimental and behavioural modalities from population calcium responses.
The project focuses on the relationship between neural activity in mouse visual cortex and variables such as stimulus identity/orientation, running behaviour, and derived state variables. It was developed as part of a broader investigation into how neural population activity can be used to decode external stimuli and internal behavioural state.
Stringer_orientations_Decoding/
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├── Dimitris_stringer_orientations.ipynb # Main analysis and decoding notebook
├── README.md # Project documentation
├── LICENSE # Apache-2.0 license
└── .gitignore