Skip to content
An EEG Simmulator for Computational NeuroScience
Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
objects runs test and adds the readings Mar 30, 2019
research_papers
sample_emotiv_recordings renames emotiv recordings to sample emotiv recordings, bringing in mo… Mar 30, 2019
LICENSE Create LICENSE Dec 25, 2018
altering.py corrects formatting, python3 syntax and adds descriptions in readme Mar 30, 2019
eeg_simulator_architecture.xml adds xml diagrams. Sep 9, 2018
eeg_simulator_flow_of_control.xml
preprocessing_eeg.py
readme.md
requirements.txt adds requirements.txt Mar 30, 2019
running_tests.py corrects formatting, python3 syntax and adds descriptions in readme Mar 30, 2019
simulation_model.py corrects formatting, python3 syntax and adds descriptions in readme Mar 30, 2019
train_simulator_for_new_state_of_brain.xml adds xml diagrams. Sep 9, 2018

readme.md

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.

  1. Run simulation via: python3 simulation_model.py
  2. Determine change in params of a new activity: gaming in this eg. python3 altering.py
  3. EEG recordings in emotive_recordings folder
  4. 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

You can’t perform that action at this time.