Spike train learning algorithm, applications, and analysis

Midwest Symposium on Circuits and Systems

Volumn 2005, Issue , 2005, Pages 683-687

  Amin, Hesham H ^a   Fujii, Robert H ^a  

^a UNIVERSITY OF AIZU   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

LEARNING PARAMETERS; NEURON THRESHOLD; SPIKING NEURAL NETWORKS (SNN);

LEARNING ALGORITHMS;

EID: 33847117307     PISSN: 15483746     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MWSCAS.2005.1594193     Document Type: Conference Paper

References (4)

1. Hesham H. Amin and Robert H. Fujii, Spiking Neural Network InterSpike Time Based Decoding Scheme, To Appear in Special Issue of IEICE Trans. of Circuits and Systems, August 2005.
2. Hesham H. Amin and Robert H. Fujii, Spike Train Classification Based on Spiking Neural Networks , WSEAS Trans Systems, Vol. 4, March 2005.
3. W. Gerstner and W. Kistler, Spiking Neuron Models. Single Neurons, Populations, Plasticity, Cambridge University Press, 2002.
4. W. Maass, T. Natschläger, and H. Markram, A Model for Real-Time Computation in Generic Neural Microcircuits, Proc. of NIPS 2002, Advances in Neural Information Processing Systems, volume 15, ed. S. Becker, S. Thrun, and K. Obermayer. MIT Press pp. 229-236, 2003.