Welcome to NeuroGym¶
NeuroGym is a curated collection of neuroscience tasks with a common interface. The goal is to facilitate training of neural network models on neuroscience tasks.
NeuroGym inherits from the machine learning toolkit Gymnasium, a maintained fork of OpenAI’s Gym library. It allows a wide range of well established machine learning algorithms to be easily trained on behavioral paradigms relevant for the neuroscience community. NeuroGym also incorporates several properties and functions (e.g. continuous-time and trial-based tasks) that are important for neuroscience applications. The toolkit also includes various modifier functions that allow easy configuration of new tasks.
🐛 Bugs reports and ⭐ features requests here
For more details about how to contribute, see the contribution guidelines.