Resonance effect for neural spike time reliability

Journal of Neurophysiology

Volumn 80, Issue 3, 1998, Pages 1427-1438

  Hunter, John D ^a   Milton, John G ^a   Thomas, Peter J ^a   Cowan, Jack D ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE MODULATION; ANIMAL CELL; APLYSIA; ARTICLE; CONTROLLED STUDY; MOTONEURON; NONHUMAN; PRIORITY JOURNAL; RELIABILITY; SIGNAL TRANSDUCTION; SPIKE WAVE; STATISTICAL ANALYSIS;

EID: 0031732253     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.1998.80.3.1427     Document Type: Article

References (60)

1. ARIELI, A., STERKIN, A. GRINVALD, A., AND A. AERSTEN, A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273: 1868-1871, 1996.
2. ASCOLI, C., BARBI, M., CHILLEMI, S., AND PETRACCHI, D. Phase-locked responses in the Limulus lateral eye. Biophys. J. 19: 219-240, 1977.
3. BALDISSERA, F. AND GUSTAFSSON, B. Regulation of repetitive firing in motoneurones by the afterhyperpolarization conductance. Brain Res. 25: 431-434, 1971.
4. BULSARA, A. R., ELSTON, T. C., LOWEN, S. B., AND LINDENBERG, K., Cooperative behavior in periodically driven noisy integrate-fire models of neuronal dynamics. Phys. Rev. E 53: 3958-3969, 1996.
5. CALVIN, W. AND STEVENS, C. Synaptic noise and other sources of randomness in motoneuron interspike intervals. J. Neurophysiol. 31: 574-587, 1968.
6. CHURCH, P. J. AND LLOYD, P. E. Activity of multiple identified motor neurons recorded intracellularly during evoked feeding like motor programs in Aplysia. J. Neurophysiol. 72: 1794-1809, 1994.
7. COHEN, J. L., WEISS, K. R., AND KUPFERMANN, I. Motor control of buccal muscles in Aplysia. J. Neurophysiol. 41: 157-181, 1978.
8. COLLINS, J. J., CHOW, C. C., AND IMHOFF, T. T. Stochastic resonance without tuning. Nature 376: 236-238, 1995.
9. CRONER, L. J., PURPURA, K., AND KAPLAN, E. Response variability in retinal ganglion cells of primates. Proc. Nat. Acad. Sci. USA 90: 8128-8130, 1993.
10. FATT, P. AND KATZ, B. Some observations on biological noise. Nature 166: 597-598, 1950.
11. GEISLER, C. D. AND GOLDBERG, J. M. A stochastic model for the repetitive activity of neurons. Biophys. J. 6: 53-69, 1966.
12. GEISLER, W. S., ALBRECHT, D. S., SALVI, R. J., AND SAUNDERS, S. S. Discrimination performance of single neurons: rate and temporal pattern information. J. Neurophysiol. 66: 334-362, 1991.
13. GERSTNER, W., VAN HEMMEN, J. L., AND COWAN, J. D. What matters in neuronal locking? Neural Comput. 8: 1653-1676, 1996.
14. GLASS, L., GRAVES, C., PETRILLO, G. A., AND MACKEY, M. C. Unstable dynamics of a periodically driven oscillator in the presence of noise. J. Theor. Biol. 86: 455-473, 1980.
15. GOLDBERG, J., SMITH, C. E., AND FERNÁNDEZ, C. Relation between discharge regularity and responses to externally applied galvanic currents in vestibular nerve afferents of the squirrel monkey. J. Neurophysiol. 51: 1236-1256, 1984.
16. GUR, M., BEYLIN, A., AND SNODDERLY, D. M. Response variability of neurons in primary visual cortex (V1) of alert monkeys. J. Neurosci. 17: 2914-2920, 1997.
17. HAYASHI, H., NAKAO, M., AND HIRAKAWA, K. Entrained, harmonic, quasiperiodic and chaotic responses of the self-sustained oscillation of Nitella to sinusoidal stimulation. J. Physiol. Soc. Jpn. 52: 344-351, 1983.
18. HOLDEN, A. V. The response of excitable membrane models to a cyclic input. Biol. Cybern. 21: 1-7, 1976.
19. HOLT, G. R., SOFTKY, W. R., KOCH, C., AND DOUGLAS, R. J. Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. J. Neurophysiol. 75: 1806-1814, 1996.
20. HOPFIELD, J. J. Pattern recognition computation using action potential timing for stimulus representation. Nature 376: 33-36, 1995.
21. ISHIZUKA, S. AND HAYASHI, H. Chaotic and phase-locked responses of the somatosensory cortex to a periodic medial lemniscus stimulation in the anesthetized rat. Brain Res. 723: 46-60, 1996.
22. JAGADEESH, B., GRAY, C. M., AND FERSTER, D. Visually evoked oscillations of membrane potential in cells of cat visual cortex. Science 257: 552-554, 1992.
23. KAPLAN, D. T., CLAY, J. R., MANNING, T., GLASS, L., GUEVARA, M. R., AND SHRIER, A., Subthreshold dynamics in periodically stimulated squid giant axons. Phys. Rev. Lett. 76: 4074-4077, 1996.
24. KEENER, J., HOPPENSTEADT, F., AND RINZEL, J. Integrate-and-fire models of nerve membrane response to oscillatory input. SIAM J. Appl. Math. 41: 503-517, 1981.
25. KERNELL, D. The repetitive impulse discharge of a simple neurone model compared to that of spinal motoneurones. Brain Res. 11: 685-687, 1968.
26. KNIGHT, B. K. Dynamics of encoding in a population of neurons. J. Gen. Physiol. 59: 734-766, 1972a.
27. KNIGHT, B. K. The relationship between the firing rate of a single neuron and the level of activity in a population of neurons. Experimental evidence for resonant enhancement in the population response. J. Gen. Physiol. 59: 767-778, 1972b.
28. MAINEN, Z. F. AND SEJNOWSKI, T. J. Reliability of spike timing in neocortical neurons. Science 268: 1503-1506, 1995.
29. MATSUMOTO, G., KYUNG-SHIK, K., TAKESHI, U., AND SHIMADA, J. Electrical and computer stimulation upon the nervous activities of squid giant axons and around the state of spontaneous repetitive firing of action potentials. J. Phys. Soc. Jpn. 49: 906-914, 1980.
30. MIDDLEBROOKS, J. C., CLOCK, A. E., AND GREEN, D. M. A panoramic code for sound location. Science 264: 842-844, 1994.
31. NOWAK, L. G., SANCHEZ-VIVES, M. V., AND MCCORMICK, D. A. Influence of low and high frequency inputs on spike timing in visual cortical neurons. Cereb. Cortex 7: 487-501, 1997.
32. OPTICAN, L. M. AND RICHMOND, B. J. Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis. J. Neurophysiol. 57: 162-178, 1987.
33. OTMAKHOV, N., SHIRKE, A. M., AND MALINOW, R. Measuring the impact of probabilistic transmission on neuronal output. Neuron 10: 1101-1111, 1993.
34. PEI, X., WILKENS, L., AND Moss, F. Noise-mediated spike timing from aperiodic stimulus in an array of Hodgkin-Huxley-type neurons. Phys. Rev. Lett. 71: 4679-4682, 1996.
35. PERKEL, D. H. AND BULLOCK, T. H. Neural coding : A report based on an NRP session. Neurosci. Res. Program Bull. 6: 221-348, 1968.
36. PERKEL, D. H., GERSTEIN, G. L., AND MOORE, G. P. Neuronal spike trains and stochastic point processes. I. The single spike train. Biophys. J. 7: 391-418, 1967.
37. PERKEL, D. H., SCHULMAN, J. H., BULLOCK, T. H., MOORE, G. P., AND SEGUNDO, J. P. Pacemaker neurons: effects of regularly spaced synaptic input. Science 145: 61-63, 1964.
38. PRESS, W. H., TEUKOLSKY, S. A., VETTERLING, W. T., AND FLANNERY, B. P. Numerical Recipes in FORTRAN: The Art of Scientific Computing. Cambridge, 1992.
39. REDMAN, S., LAMPARD, D., AND ANNAL, P. Monosynaptic stochastic stimulation of cat spinal motoneurons II. Frequency transfer characteristics of tonically discharging motoneurons. J. Neurophysiol. 31: 499-508, 1968.
40. RESCIGNO, A., STEIN, R., PURPLE, R., AND POPPELE, R. A neuronal model for the discharge patterns produced by cyclic inputs. Bull. Math. Biophys. 32: 337-353, 1970.
41. DE RUYTER VAN STEVENINCK, R. R., LEWEN, G. D., S. P. STRONG, S. P., KOBERLE, R., AND BIALEK, W. Reproducibility and variability in neuronal spike trains. Science 275: 1805-1808, 1997.
42. SANDERSON, A., KOZAK, W., AND CALVERT, T. Distribution coding in the visual pathway. Biophys. J. 13: 218-244, 1973.
43. SCHARSTEIN, H. Input-output relations of the leaky-integrator neuron model. J. Math. Biol. 8: 403-420, 1979.
44. SCHWINDT, P. C. AND CALVIN, W. H. Membrane-potential trajectories between spikes underlying motoneuron firing rates. J. Neurophysiol. 35: 311-325, 1972.
45. SEGUNDO, J. P., PERKEL, D. H., AND MOORE, G. P. Spike probability in neurones: Influence of temporal structure in the train of synaptic events. Kybernetik 3: 67-82, 1966.
46. SOFTKY, W. R. Simple codes versus efficient codes. Curr. Opin. Neurobiol. 5: 239-247, 1995.
47. SOFTKY, W. R. AND KOCH, C. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J. Neurosci. 131: 334-350, 1993.
48. STEIN, R. B. A theoretical analysis of neuronal variability. Biophys. J. 5: 173-194, 1965.
49. STEIN, R. B. The frequency of nerve action potentials generated by applied currents. Proc. R. Soc. Lond. B Biol. Sci. 167: 64-86, 1967a.
50. STEIN, R. B. Some models of neuronal variability. Biophys. J. 7: 37-68, 1967b.
51. STERIADE, M. Synchronized activities of coupled oscillators in the cerebral cortex and thalamus at different levels of vigilance. Cereb. Cortex 7: 583-604, 1997.
52. STERIADE, M., NUÑEZ, A., AND AMZICA, F. Intracellular analysis of relations between the slow (< 1 Hz) neocortical oscillation and other sleep rhythms of the electroencephalogram. J. Neurosci. 13: 3266-3283, 1993.
53. TANG, A. C., BARTELS, A. M., AND SEJNOWSKI, T. J. Effects of cholinergic modulation on responses of neocortical neurons to fluctuating input. Cerebral Cortex 1: 502-506, 1997.
54. THEILER, J., EUBANK, S., LONGTIN, A., GALDRIKIAN, B., AND FARMER, J. D. Testing for nonlinearity in time series: the method of surrogate data. Physica D 58: 77-94, 1992.
55. TUCKWELL, H. C. Stochastic Processes in the Neurosciences. Philadelphia, PA: Society for Industrial and Applied Mathematics, 1989.
56. VICTOR, J. D. AND PURPURA, K. P. Nature and precision of temporal coding in visual cortex: A metric-space analysis. J. Neurophysiol. 76: 1310-1326, 1996.
57. WERNER, G. AND MOUNTCASTLE, V. B. The variability of central neural activity in a sensory system, and its implications for the central reflection of sensory events. J. Neurophysiol. 26: 958-977, 1963.
58. WILBUR, J. W. AND RINZEL, J. A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distributions. J. Theor. BM. 105: 345-368, 1983.
59. WILSON, C. J. AND KAWAGUCHI, Y. The origins of two-state spontaneous membrane potential fluctuations of neostriatal spiny neurons. J. Neurosci. 16: 2397-2410, 1996.
60. Wu, J.-Y., HOPP, H.-P., COHEN, L. B., TANG, A. C., AND FALK, C. X., Consistency in nervous systems: trial-to-trial and animal-to-animal variations in the responses to repeated applications of a sensory stimulus in Aplysia. J. Neurosci. 14: 1366-1383, 1994.