Computer Science

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

J. E. Pedersen, S. Abreu, et al.

This research was conducted by Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan Richard Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Sadique Sheik, and Jason K. Eshraghian. It introduces the Neuromorphic Intermediate Representation (NIR), a common reference frame that captures hybrid continuous-time and event-driven computations, enabling reproducible, interoperable spiking neural network models across simulators and digital neuromorphic platforms.... show more

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