Information through a Spiking Neuron

NIPS 1995: Proceedings of the 8th International Conference on Neural Information Processing Systems

Volumn , Issue , 1995, Pages 75-81

  Stevens, Charles F ^a   Zador, Anthony ^a  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS;

INFORMATION RATES; INTER SPIKE INTERVALS; LEAKY INTEGRATE-AND-FIRE MODEL; NEURONAL DYNAMICS; PROBABILITY: DISTRIBUTIONS; SPIKE TRAIN; SPIKING NEURONES; SYNAPTIC INPUT; TEMPORAL RESOLUTION; UPPER BOUND;

NEURONS;

EID: 85156230886     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Bialek, W., Rieke, F., de Ruyter van Steveninck, R., and Warland, D. (1991). Reading a neural code. Science, 252:1854-1857.
2. DeWeese, M. (1996). Optimization principles for the neural code. In Hasselmo, M., editor, Advances in Neural information Processing Systems, vol. 8. MIT Press, Cambridge, MA.
3. ndedition. McGraw-Hill.
4. Rieke, F., Warland, D., de Ruyter van Steveninck, R., and Bialek, W. (1996). Neural Coding. MIT Press.
5. Softky, W. and Koch, C. (1993). The highly irregular firing of cortical cells is inconsistent with temporal integration of random epsps. J. Neuroscience., 13:334-350.
6. Sugiyama, H., Moore, G., and Perkel, D. (1970). Solutions for a stochastic model of neuronal spike production. Mathematical Biosciences, 8:323-341.
7. Tuckwell, H. (1988). Introduction to theoretical neurobiology (2 vols.). Cambridge.