Overview / Usage

Spiking Neural Networks are the next generation of Neural Networks which mimic the working of human brain more closely than Artificial Neural Networks but it's applications have been limited. They can be applied in many fields and can also help us understand the human brain better.

In this project, a part of brain called Basal Ganglia is modeled using a Spiking Neural Network model and is simulated on the neuromorphic system SpiNNaker.

Methodology / Approach

The Goal of this project is to research further into working of Spiking Neural Networks.

For simulation the code is written in Python using sPyNNaker library (based on PyNN 0.8) and is simulated on the Neuromorphic platform SpiNNaker which is accessed through the Human Brain Project Collaboratory.

Further, The biological process of Spike Time Dependent Plasticity will be implemented in Spiking Neural Networks to get a better understanding of how the brain works.

Technologies Used

pyNN, SpiNNaker neuromorphic computer for simulating models.

Repository

https://github.com/iambasab/BG-GPR-SpiNNaker

Other links

• SpiNNaker