Biologically plausible VLSI neural network implementation with asynchronous neuron and spike-based synapse

Proceedings of the International Joint Conference on Neural Networks

Volumn 5, Issue , 2005, Pages 3244-3248

  Han, Il Song ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CMOS INTEGRATED CIRCUITS; ENERGY UTILIZATION; VLSI CIRCUITS; VOLTAGE CONTROL;

ASYNCHRONOUS OPERATION; POWER CONSUMPTION; SYNAPTIC COMPUTATION; WEIGHT PROGRAMMING;

NEURAL NETWORKS;

EID: 33750125702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556447     Document Type: Conference Paper

References (17)

1. R. Eckmiller, O. Baruth, and D. Neunann, "Neural information processing efforts to restore vision in the blind", Proceedings of ICONIP 2004, LNCS 3316, pp. 10-18, 2004
2. N. Taylor, M Hartley, and J. Taylor, "The learning of insertions by the Cerebellum", Proceedings of BICS 2004, Sterling, CNS 2.2, 2004.
3. T. Pearce et al, "Silicon-based neuromorphic Olfactory pathway implementation", Proceedings of BICS 2004, Sterling, BIS6.3, 2004
4. D. Floreano and C. Mattiussi, "Evolution of spiking neural controllers for autonomous vision-based robots", ER2001, LNCS 2217, pp.38-61, 2001
5. G. Bugmann, "Biologically plausible neural computation", Biosystems, 40, pp. 11-19, 1997
6. I. Han, "Mixed-signal neuron-synapse implementation for large scale neural network", Proceedings of BICS 2004, Sterling, 2004
7. C. Christodoulou, G. Bugmann, and T. Clarkson, "A spiking neuron model: applications and learning", Neural networks, 15, pp. 891-908, 2002
8. J. Taylor, "Paying attention to consciousness," Progress in Neurobiology, 71, pp.305-335, 2003
9. I. Han, "Signal processing circuit," U.K. patent pending, P105608GB, 2004
10. M. Simoni et al, "A multiconductance silicon neuron with biologically matched dynamics", IEEE Trans. Biomedical Eng, vol. 51, No. 2. pp. 342-354, 2004
11. S. Matinoia et al, "Cultured neurons coupled to micoelectrode arrays: circuit models, simulations and experimental data", IEEE Trans. on Biomedical Eng, vol. 51, No. 5, pp. 859-864, 2004
12. B. Linares-Barranco et al, "A CMOS implementation of FizHugh-Nagumo neuron moderl, IEEE JSSC, Vol. 26, No.7, 1991
13. C. Bartolozzi and G. Indiveri, "A neuromorphic selective attention architecture with dynamic synapses and integrate-and fire neurons", Proceedings of BICS 2004, Sterling, BIS2.2, 2004
14. J. Taylor, Private communication, 2004
15. M. Hausser, "The Hodgkin-Huxley theory of action potential", Nature neuroscience supplement, vol. 3, pp. 1165, Nov, 2000
16. I. Han and R. Webb, "Neural Network Switch Controller with Analogue-Digital Mixed Neural Network VLSI," Proceedings of EANN'97, pp. 299-302, 1997
17. I. Han, "Neural network VLSI implementation and its applications," Korea Telecom Journal, Vol.2, No.1, pp. 12-20, 1997