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NIPS
2003
13 years 8 months ago
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
Synapses are a critical element of biologically-realistic, spike-based neural computation, serving the role of communication, computation, and modification. Many different circui...
Rock Z. Shi, Timothy K. Horiuchi
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 6 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
14 years 18 days ago
Silicon neurons that inhibit to synchronize
Abstract—We present a silicon neuron that uses shunting inhibition (conductance-based) with a synaptic rise-time to achieve synchrony. Synaptic rise-time promotes synchrony by de...
John V. Arthur, Kwabena Boahen