Prof. Jason Eshraghian & Dr. Peng Zhou were topic area leaders at the Telluride Neuromorphic Engineering & Cognition Workshop. Tasks addressed included:

• porting open silicon (hardware) to neuromorphic engineering,

• linking in-vitro neural networks (wetware) to neuromorphic computing, and

• modelling and training those with spiking neural networks using neuromorphic software.

A project highlight includes the development of the Neuromorphic Intermediate Representation (NIR), an intermediate representation to translate various neuromorphic and physics-driven models that are based on continuous time ODEs into different formats. This makes it much easier to deploy models trained in one library to map to a large variety of backends.