Brian for neuromorphic computing

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models are likely to evolve quite drastically in the near future, and that standards face the risk of getting rapidly outdated.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.