Abstract
In this paper we present the design, implementation and preliminary results from a silicon neuron (SiN) based on the generalized integrate-and-fire neuron model. The SiN is integrated onto a chip with a number of similar SiNs. In this paper we show the results from a single neuron, however, in the future it is our aim to show that real-time, low-power and highly configurable spiking neural networks are feasible on silicon chips. © 2011 IEEE.
Cite
CITATION STYLE
Hamilton, T. J., & Van Schaik, A. (2011). Silicon implementation of the generalized integrate-and-fire neuron model. In Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011 (pp. 108–112). https://doi.org/10.1109/ISSNIP.2011.6146585
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