Part of Advances in Neural Information Processing Systems 17 (NIPS 2004)
R. Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings
We have constructed a system that uses an array of 9,600 spiking sili- con neurons, a fast microcontroller, and digital memory, to implement a reconﬁgurable network of integrate-and-ﬁre neurons. The system is designed for rapid prototyping of spiking neural networks that require high-throughput communication with external address-event hardware. Arbitrary network topologies can be implemented by selectively rout- ing address-events to speciﬁc internal or external targets according to a memory-based projective ﬁeld mapping. The utility and versatility of the system is demonstrated by conﬁguring it as a three-stage network that accepts input from an address-event imager, detects salient regions of the image, and performs spatial acuity modulation around a high-resolution fovea that is centered on the location of highest salience.