Skip to main content

Brian for neuromorphic computing

By
Difficulty level
Beginner
Type
Duration
20:39

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

Topics covered in this lesson

Talk abstract: Neuromorphic computing relies on tools to simulate neuron models on various platforms, including dedicated electronic devices. This diversity of simulation platforms is a challenge. To address this challenge, there is a trend towards the standardization of models. Here I will argue that neuron and plasticity models are likely to evolve quite drastically in the near future, and that standards face the risk of getting rapidly outdated. I will then expose the alternative strategy used in the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.