Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2415 LNCS, Issue , 2002, Pages 117-122

  Mtetwa, Nhamo ^a   Smith, Leslie S ^a   Hussain, Amir ^a  

^a UNIVERSITY OF STIRLING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CIRCUIT RESONANCE; DIGITAL ARITHMETIC; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); MAGNETIC RESONANCE; NEURAL NETWORKS; NEURONS; STOCHASTIC SYSTEMS; RESONANCE;

DIGITAL HARDWARE; FINITE RESOLUTION; FLOATING POINT IMPLEMENTATION; INTEGRATE AND FIRES; LEAKY INTEGRATE AND FIRE NEURON; LOWER RESOLUTION; STOCHASTIC RESONANCES; HEIDELBERG;

SIGNAL TO NOISE RATIO;

EID: 84902138945     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_20     Document Type: Conference Paper

References (14)

1. Virtex 2.5 V Field Programmable Gate Arrays.
2. M. Barbi, S. Chillemi, and A.D. Garbo. The leaky integrate-and-fire neuron: a useful tool to investigate SR. Chaos, solutions and fractals, pages 1273-1275, 2000.
3. R. Benzi, G. Parisi, A. Sutera, and A. Vulpiani. Stochastic resonance in climatic changes. Tellus, 1982.
4. G. Bestock. FPGAs and Programmable LSI. Butterworth Heinemann, 1996.
5. F. Chapeau-Blondeau, X. Godivier, and N. Chambet. Stochastic resonance in a neuronal model that transmits spike trains. Physical Review E, pages 1273-1275, 1996.
6. J.J. Collins, C.C. Chow, and T.T. Imhoff. Stochastic resonance without tuning. Nature, 1995.
7. L. Gammaitoni, P. Hanggi, P. Jung, and P. Marchesoni. Stochastic resonance. Review Modern Physics, 70:223-287, 1998.
8. C. Koch. Biophysics of Computation. Oxford University Press, NY, 1999.
9. C. Koch and I. Segev, editors. Methods in Neural modeling: from ions to networks. The MIT Press, 1999.
10. N. Mtetwa, L.S. Smith, and A. Hussain. Stochastic resonance and finite resolutions in a leaky integrate-and-fire neuron. In ESANN2002: Proceedings of the European Symposium on Artificial Neural Network, Bruges, Belgium, pages 343-348, April 24-26, 2002.
11. D. Petracchi, I.C. Gebeshuber, L.J. DeFelice, and A.V. Holden. Stochastic resonance in biological Systems. Chaos, Solutions and Fractals, pages 1819-1822, 2000.
12. M. Stemmler. A single spike suffices: the simplest form of stochastic resonance in model neurons. Network: Computation in Neural Systems, 7(4):687-716, November 1996.
13. K. Weisenfeld and F. Moss. Stochastic resonance and the benefits of noise: from ice ages to the crayfish and squids. Nature, 373:33-36, 1995.
14. L. Zalanyi, F. Bazso, and P. Erdi. The effect of synaptic depression on stochastic resonance. Neurocomputing, pages 459-465, 2001.