TY - GEN
T1 - The cerebellum chip
T2 - 18th Annual Conference on Neural Information Processing Systems, NIPS 2004
AU - Hofstötter, Constanze
AU - Gil, Manuel
AU - Eng, Kynan
AU - Indiveri, Giacomo
AU - Mintz, Matti
AU - Kramer, Jörg
AU - Verschure, Paul F.M.J.
PY - 2005
Y1 - 2005
N2 - We present a biophysically constrained cerebellar model of classical conditioning, implemented using a neuromorphic analog VLSI (aVLSI) chip. Like its biological counterpart, our cerebellar model is able to control adaptive behavior by predicting the precise timing of events. Here we describe the functionality of the chip and present its learning performance, as evaluated in simulated conditioning experiments at the circuit level and in behavioral experiments using a mobile robot. We show that this aVLSI model supports the acquisition and extinction of adaptively timed conditioned responses under real-world conditions with ultra-low power consumption.
AB - We present a biophysically constrained cerebellar model of classical conditioning, implemented using a neuromorphic analog VLSI (aVLSI) chip. Like its biological counterpart, our cerebellar model is able to control adaptive behavior by predicting the precise timing of events. Here we describe the functionality of the chip and present its learning performance, as evaluated in simulated conditioning experiments at the circuit level and in behavioral experiments using a mobile robot. We show that this aVLSI model supports the acquisition and extinction of adaptively timed conditioned responses under real-world conditions with ultra-low power consumption.
UR - http://www.scopus.com/inward/record.url?scp=84899018370&partnerID=8YFLogxK
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AN - SCOPUS:84899018370
SN - 0262195348
SN - 9780262195348
T3 - Advances in Neural Information Processing Systems
BT - Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004
PB - Neural information processing systems foundation
Y2 - 13 December 2004 through 16 December 2004
ER -