This repository uses reinforcement learning to model the basal ganglia, focusing on action selection and the effects of neurotransmitter imbalances. It employs Jupyter Notebook, C++, and Python to simulate the complex interactions and pathways within the basal ganglia.
From the README
Modelling Basal Ganglia using Reinforcement Learning Project Overview • Objective: To utilize reinforcement learning principles to model the functioning of the basal ganglia, understanding its role in action selection, learning processes, and the impact of neurological disorders. • Basal Ganglia Functions: • Evaluate actions and adjust behaviour based on rewards. • Complex network involving various pathways and neurotransmitter systems. • Dopamine plays a crucial role in reward processing and reinforcement learning mechanisms. • Study Focus: • Modelling the intricate interactions within the basal ganglia. • Exploring the role of dopamine and acetylcholine imbalance in motor control. •...
Skills
- Jupyter Notebook
- C++
- Python
