Neuromorphic dreaming: A pathway to efficient learning in artificial agents

no code implementations • 24 May 2024 • Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone, Giacomo Indiveri

We start from a baseline consisting of an agent network learning without a world model and dreaming, which successfully learns to play the game.

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

no code implementations • 12 Feb 2021 • Julian Büchel, Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri, Dylan R. Muir

Our method provides robust deployment of pre-trained networks on mixed-signal neuromorphic hardware, without requiring per-device training or calibration.