期刊
NEUROCOMPUTING
卷 102, 期 -, 页码 125-134出版社
ELSEVIER
DOI: 10.1016/j.neucom.2012.01.042
关键词
Spiking neural network; Extreme learning machine; Asynchronous communication; Silicon neuron; Neuromorphic
资金
- MOE AcRF Tier 1 [RG 21/10, RG 22/08]
In this paper, we propose a silicon implementation of extreme learning machines (ELM) using spiking neural circuits. The major components of a silicon spiking neural network, neuron, synapse and 'Address Event Representation' (AER) for asynchronous spike based communication, are described. The benefits of using this hardware to implement an ELM as opposed to other single layer feedforward networks (SLFN) are explained. Several possible architectures for efficient implementation of ELM using these circuits are presented and their possible impact on ELM performance is discussed. (C) 2012 Elsevier B.V. All rights reserved.
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