SingleNeuronModel

Implementation of single spiking neuron models, variations of lif models and their behaviors analysis

In this report, we tried to implement the first single spiking neuron model (LIF model) and its few variations and analyse its behavior on different input currents and its parameters.

All implementations are in the context of pymonntorch framework using each implementation as behavior on a network.

Table of content

The things we covered in this project are as following :

1. LIF, Exponential LIF, Adaptive Exponential LIF implementation
2. Variations of input current and model behavior analysis
3. I-F curves and model performance measures
4. Refractory Period Implementation
5. In-depth analysis of the behavior of neurons on different parameters

Both project report and notebook of the project is available in this repository.