Silicon spiking neurons for hardware implementation of extreme learning machines

Author:

Basu Arindam,Shuo Sun,Zhou Hongming,Hiot Lim Meng,Huang Guang-Bin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference27 articles.

1. Neural Networks;Haykin,1998

2. Spiking Neuron Models Single Neurons, Populations, Plasticity;Gerstner,2002

3. FACETS: Fast Analog Computing with Emergent Transient States, 〈http://facets.kip.uni-heidelberg.de/index.html〉.

4. SyNAPSE: Systems of Neuromorphic Adaptive Plastic Scalable Electronics, 〈http://www.darpa.mil/dso/thrusts/bio/biologically/synapse/index.htm〉.

5. S. Saighi, J. Tomas, Y. Bornat, S. Renaud, A conductance-based silicon neuron with dynamically tunable model parameters, in: Proceedings of the International IEEE EMBS Conference on Neural Engineering, 2005, pp. 285–288.

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