New PNAS paper on "Synthesizing cognition in neuromorphic electronic systems"
Neuromorphic emulations express the dynamics of neural systems in analogous electronic circuits, offering a distributed, low-power technology for constructing intelligent systems. However, neuromorphic circuits are inherently imprecise and noisy, and there has been no systematic method for configuring reliable behavioral dynamics on these substrates. We describe such a method, which is able to install simple cognitive behavior on the neuromorphic substrate. Our approach casts light on the general question of how the neuronal circuits of the brain, and also future neuromorphic technologies, could implement cognitive behavior in a principled manner.
Here's the UZH press release:
The full paper is:
E. Neftci, J. Binas, U. Rutishauser, E. Chicca, G. Indiveri, R. J. Douglas. Synthesizing Cognition in Neuromorphic VLSI Systems. PNAS. July 22, 2013. Doi:10.1073/pnas.1212083110