In order to simulate EEG readings, no software exists which can run the Kinetic LGN model. This python library implements the kinetic lgn model for simulating eeg models.
- Run simulation via: python3 simulation_model.py
- Determine change in params of a new activity: gaming in this eg. python3 altering.py
- EEG recordings in emotive_recordings folder
- Consulted research papers(for reference) in docs
altering.py: To alter the eeg signals generated by the simulation model to match with the standard eeg data so as to compare the simulated output EEG readings with the standard ones.
running_tests.py: Plots standard and simulated EEG readings, for user to test hooks and nooks.
preprocessing_eeg.py: Cleans the standard EEG data, the one with which we want to match the sample and the simulated readings.
simulation_model.py: Implements the Kinetic LGN Model