Origin of firing variability of the integrate-and-fire model

Neurocomputing

Volumn 26-27, Issue , 1999, Pages 117-122

  Feng, Jianfeng ^a  

^a BABRAHAM INSTITUTE   (United Kingdom)

Author keywords

Coefficient of variation; Interspike intervals; The integrate and fire model

Indexed keywords

BIOELECTRIC POTENTIALS; INTEGRATION; MATHEMATICAL MODELS; VISION;

INHIBITORY SYNAPSES; INTEGRATE AND FIRE MODEL; INTERSPIKE INTERVAL;

NEUROLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL MEMBRANE POTENTIAL; CONSTANTS AND COEFFICIENTS; MATHEMATICAL COMPUTING; MODEL; NERVE CONDUCTION; OSCILLATION; PRIORITY JOURNAL; SPIKE; SYNAPTIC INHIBITION; VISUAL CORTEX;

EID: 17444450522     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(99)00006-5     Document Type: Article

References (9)

1. Feng J., Lei G., Qian M. Second-order algorithms for SDE. J. Comput. Math. 10:1992;376-387.
2. Feng J. The hydrodynamic limit for the reaction diffusion equation- an approach in terms of the GPV method. J. Theoret. Probab. 9:1996;285-299.
3. Feng J. Behaviours of spike output jitter in the integrate-and-fire model. Phys. Rev. Lett. 79:1997;4505-4508.
4. Feng J., Brown D. Spike output jitter, mean firing time and coefficient of variation. J. Phys. A: Math. Gen. 31:1998;1239-1252.
5. Feng J., Brown D. Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model. Biol. Cybernet. 78:1998;369-376.
6. J. Feng, D. Brown, Coefficient of variation greater than 0.5 how and when? Biol. Cybernet. 1999, in press.
7. Softky W., Koch C. The highly irregular firing of cortical-cells is inconsistent with temporal integration of random EPSPs. J. Neurosci. 13:1993;334-350.
8. Shadlen M.N., Newsome W.T. Noise, neural codes and cortical organization. Curr. Opin. Neurobiol. 4:1994;569-579.
9. H.C. Tuckwell, Stochastic Processes in the Neurosciences, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1988.