https://github.com/jonboh/spike_response_model

Implementation of the Spike Response Model and Generalized Linear Model as presented in https://neuronaldynamics.epfl.ch/online/index.html
https://github.com/jonboh/spike_response_model

Last synced: about 1 month ago
JSON representation

Implementation of the Spike Response Model and Generalized Linear Model as presented in https://neuronaldynamics.epfl.ch/online/index.html

• Host: GitHub
• URL: https://github.com/jonboh/spike_response_model
• Owner: jonboh
• License: mit
• Created: 2019-07-15T14:03:20.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-10-02T07:33:51.000Z (almost 7 years ago)
• Last Synced: 2025-01-16T02:24:52.724Z (over 1 year ago)
• Language: Python
• Size: 284 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Spike Response Model

The SRM is a deterministic model of Spiking Neurons. Specifically a "Hard-Threshold Adaptive Integrate and Fire Model".

If you want to learn more about the theoretical foundations of this code go to:

https://neuronaldynamics.epfl.ch/online/index.html

All equations have been taken from there.

Simulation examples:

Excitatory Neuron:

![alt text](https://github.com/jonboh/spike_response_model/blob/master/images/excitatory.png)

Inhibitory Neuron:

![alt text](https://github.com/jonboh/spike_response_model/blob/master/images/inhibitory.png)

Warning: I'm not a neuroscientist, so you might wanna keep a good dose of skepticism about the correctness of the resulting simulations.

Corrections and recommendations of any kind are welcomed.