The power ratio and the interval map: Spiking models and extracellular recordings

Journal of Neuroscience

Volumn 18, Issue 23, 1998, Pages 10090-10104

  Reich, Daniel S ^a,b   Victor, Jonathan D ^a,b   Knight, Bruce W ^a  

^a ROCKEFELLER UNIVERSITY   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Integrate and fire; Interval distributions; Lateral geniculate nucleus; Neural models; Neural noise; Poisson process; Primary visual cortex; Rate coding; Refractory period; Renewal process; Retinal ganglion; Spike trains; Temporal coding

Indexed keywords

ANIMAL CELL; ARTICLE; CAT; LATERAL GENICULATE NUCLEUS; MACACA; MODEL; NERVE CELL MEMBRANE POTENTIAL; NONHUMAN; PRIORITY JOURNAL; RETINA GANGLION CELL; SPIKE WAVE; STATISTICAL ANALYSIS; VISUAL CORTEX;

EID: 0032402153     PISSN: 02706474     EISSN: None     Source Type: Journal    
DOI: 10.1523/jneurosci.18-23-10090.1998     Document Type: Article

References (34)

1. Abeles M, Prut Y, Bergman H, Vaadia E (1994) Synchronization in neuronal transmission and its importance for information processing. Prog Brain Res 102:395-404.
2. Berry MJ, Meister M (1998) Refractoriness and neural precision. J Neurosci 18:2200-2211.
3. Berry MJ, Warland DK, Meister M (1997) The structure and precision of retinal spike trains. Proc Natl Acad Sci USA 94:5411-5416.
4. Bland M (1995) An introduction to medical statistics. Oxford: Oxford UP.
5. Cattaneo A, Maffei L, Morrone C (1981) Patterns in the discharge of simple and complex visual cortical cells. Proc R Soc Lond B Biol Sci 212:279-297.
6. DeBusk BC, DeBruyn EJ, Snider RK, Kabara JF, Bonds AB (1997) Stimulus-dependent modulation of spike burst length in cat striate cortical cells. J Neurophysiol 78:199-213.
7. Enroth-Cugell C, Robson JG (1966) The contrast sensitivity of retinal ganglion cells of the cat. J Physiol (Lond) 187:517-561.
8. FitzHugh R (1957) The statistical detection of threshold signals in the retina. J Gen Physiol 40:925-948.
9. FitzHugh R (1958) A statistical analyzer for optic nerve messages. J Gen Physiol 41:675-692.
10. Funke K, Worgötter F (1997) On the significance of temporally structured activity in the dorsal lateral geniculate nucleus (LGN). Prog Neurobiol 53:67-119.
11. Gestri G (1978) Dynamics of a model for the variability of the interspike intervals in a retinal neuron. Biol Cybern 31:97-98.
12. Hopfield JJ (1995) Pattern recognition computation using action potential timing for stimulus representation. Nature 376:33-36.
13. Kaplan E, Purpura K, Shapley RM (1987) Contrast affects the transmission of visual information through the mammalian lateral geniculate nucleus. J Physiol (Lond) 391:267-288.
14. Knight BW (1972) Dynamics of encoding in a population of neurons. J Gen Physiol 59:734-766.
15. Levine MW (1991) The distribution of the intervals between neural impulses in the maintained discharges of retinal ganglion cells. Biol Cybern 65:459-467.
16. Mainen ZF, Sejnowski TJ (1995) Reliability of spike timing in neocortical neurons. Science 268:1503-1506.
17. Mandl G (1993) Coding for stimulus velocity by temporal patterning of spike discharges in visual cells of cat superior colliculus. Vision Res 33:1451-1475.
18. Mechler F, Victor JD, Purpura KP, Shapley R (1998) Robust temporal coding of contrast by V1 neurons for transient but not for steady-state stimuli. J Neurosci 18:6583-6598.
19. Meister M, Lagnado L, Baylor DA (1995) Concerted signaling by retinal ganglion cells. Science 270:1207-1210.
20. Merrill EG, Ainsworth A (1972) Glass-coated platinum-plated tungsten microelectrodes. Med Biol Eng Comput 10:662-672.
21. Mukherjee P, Kaplan E (1995) Dynamics of neurons in the cat lateral geniculate nucleus: in vivo electrophysiology and computational modeling. J Neurophysiol 74:1222-1243.
22. Nowak LG, Sanchez-Vives MV, McCormick DA (1997) Influence of low and high frequency inputs on spike timing in visual cortical neurons. Cereb Cortex 7:487-501.
23. Papoulis A (1991) Probability, random variables, and stochastic processes. New York: McGraw-Hill.
24. Reich DS, Victor JD, Knight BW, Ozaki T, Kaplan E (1997) Precise neuronal spike times coexist with large response variability in vivo. J Neurophysiol 77:2836-2841.
25. Richmond BJ, Optican LM (1987) Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. II. Quantification of response waveform. J Neurophysiol 57:147-161.
26. Rieke F, Warland D, de Ruyter van Steveninck R, Bialek W (1997) Spikes: exploring the neural code. Cambridge, MA: MIT UP.
27. Shadlen MN, Newsome WT (1994) Noise, neural codes and cortical organization. Curr Opin Neurobiol 4:569-579.
28. Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18:3870-3896.
29. Singer W, Gray CM (1995) Visual feature integration and the temporal correlation hypothesis. Annu Rev Neurosci 18:555-586.
30. Skottun BC, De Valois RL, Grosof DH, Movshon JA, Albrecht DG, Bonds AB (1991) Classifying simple and complex cells on the basis of response modulation. Vision Res 31:1079-1086.
31. Troy JB, Robson JG (1992) Steady discharges of X and Y retinal ganglion cells of cat under photopic illuminance. Vis Neurosci 9:535-553.
32. Tzonev S, Rebrik S, Miller KD (1997) Response specificity of lateral geniculate nucleus neurons. Soc Neurosci Abstr 23:450.
33. Victor JD, Purpura KP (1996) Nature and precision of temporal coding in visual cortex: a metric-space analysis. J Neurophysiol 76:1310-1326.
34. Victor JD, Purpura KP (1997) Metric-space analysis of spike trains: theory, algorithms and application. Network: Comput Neural Syst 8:127-164.