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A nonstationary Poisson point process describes the sequence of action potentials over long time scales in lateral-superior-olive auditory neurons. (English) Zbl 0786.92010

The behavior of lateral-superior-olive (LSO) auditory neurons over large time scales was investigated. Of particular interest was the determination as to whether LSO neurons exhibit the same type of fractal behavior as that observed in primary VIII-nerve auditory neurons. It has been suggested that this fractal behavior, apparent on long time scales, may play a role in optimally coding natural sounds. We found that a non- fractal model, the nonstationary dead-time-modified Poisson point process, describes the LSO firing patterns well for time scales greater than a few tens of milliseconds, a region where the specific details of refractoriness are unimportant. The rate is given by the sum of two decaying exponential functions. The process is completely specified by the initial values and time constants of the two exponentials and by the dead-time relation.
Specific measures of the firing patterns investigated were the interspike-interval histogram, the Fano-factor time curve, and the serial count correlation coefficient with the number of action potentials in successive counting times serving as the random variable.

MSC:

92C20 Neural biology
60K99 Special processes
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[1] Cant N, Casseday J (1986) Projections from the anteroventral cochlear nucleus to the lateral and medial superior olivary nuclei. J Comp Neurol 247:457–476 · doi:10.1002/cne.902470406
[2] Cox DR, Lewis PAW (1966) The statistical analysis of series of events. Chapman and Hall, London · Zbl 0148.14005
[3] Guinan J, Norris B, Guinan S (1972) Single auditory units in the superior olivary complex. II Locations of unit categories and tonotopic organization. Int J Neurosci 4:147–166 · doi:10.3109/00207457209164756
[4] Johnson DH, Swami A (1983) The transmission of signals by auditorynerve fiber discharge patterns. J Acoust Soc Am 74:493–501 · doi:10.1121/1.389815
[5] Johnson DH, Tsuchitani C, Linebarger DA, Johnson MJ (1986) Application of a point process model to responses of cat lateral superior olive units to ipsilateral tones. Hearing Res 21:135–159 · doi:10.1016/0378-5955(86)90035-3
[6] Lowen SB, Teich MC (1991) Doubly stochastic Poisson point process driven by fractal shot noise. Phys Rev A 43:4192–4215 · doi:10.1103/PhysRevA.43.4192
[7] Prucnal PR, Teich MC (1979) Statistical properties of counting distributions for intensity-modulated sources. J Opt Soc Am 69:539–544 · doi:10.1364/JOSA.69.000539
[8] Prucnal PR, Teich MC (1983) Refractory effects in neural counting processes with exponentially decaying rates. IEEE Trans Syst Man Cybern 13:1028–1033
[9] Saleh B (1978) Photoelectron statistics. Springer, New York
[10] Saleh B, Teich MC (1982) Multiplied-Poisson noise in pulse, particle and photon detection. Proc IEEE 70:229–245 · doi:10.1109/PROC.1982.12284
[11] Teich MC (1985) Normalizing transformations for dead-time-modified Poisson counting distributions. Biol Cybern 53:121–124 · Zbl 0575.92025 · doi:10.1007/BF00337028
[12] Teich MC (1989) Fractal character of the auditory neural spike train. IEEE Trans Biomed Eng 36:150–160 · doi:10.1109/10.16460
[13] Teich MC (1992) Fractal neuronal firing patterns. In: McKenna T, Davis J, Zornetzer S (eds) Single neuron computation. Academic, Boston, pp 589–625
[14] Teich MC, Diament P (1969) Flat counting distribution for triangularly-modulated Poisson process. Phys Lett 30A:93–94
[15] Teich MC, Diament P (1980) Relative refractoriness in visual information processing. Biol Cybern 38:187–191 · doi:10.1007/BF00337011
[16] Teich MC, Khanna SM (1985) Pulse-number distribution for the neural spike train in the cat’s auditory nerve. J Acoust Soc Am 77:1110–1128 · doi:10.1121/1.392176
[17] Teich MC, Matin L, Cantor BI (1978) Refractoriness in the maintained discharge of the cat’s retinal ganglion cell. J Opt Soc Am 63:386–402 · doi:10.1364/JOSA.68.000386
[18] Teich MC, Johnson DH, Kumar AR, Turcott RG (1990a) Rate fluctuations and fractional power-law noise recorded from cells in the lower auditory pathway of the cat. Hearing Res 46:41–52 · doi:10.1016/0378-5955(90)90138-F
[19] Teich MC, Turcott RG, Lowen SB (1990b) The fractal doubly stochastic Poisson point process as a model for the cochlear neural spike train. In: Dallos P, Geisler CD, Matthews JW, Ruggero MA, Steele CR (eds) The mechanics and biophysics of hearing. Springer, New York, pp 354–361
[20] Tsuchitani C (1982) Discharge patterns of cat lateral superior olivary units to ipsilateral tone-burst stimuli. J Neurophysiol 47:479–500
[21] Tsuchitani C (1988) The inhibition of cat lateral superior olivary unit excitatory responses to binaural tone bursts. II. The sustained discharges. J Neurophysiol 59:184–211
[22] Tsuchitani C, Boudreau JC (1966) Single unit analysis of cat superior olive S-segment with tonal stimuli. J Neurophysiol 28:684–697
[23] Tsuchitani C, Johnson DH (1985) The effects of ipsilateral tone burst stimulus level on the discharge patterns of cat lateral superior olivary units. J Acoust Soc Am 77:1484–1496 · doi:10.1121/1.392043
[24] Vannucci G, Teich MC (1978) Effects of rate variation on the counting statistics of dead-time-modified Poisson processes. Opt Commun 25:267–272 · doi:10.1016/0030-4018(78)90322-X
[25] Young ED, Barta PE (1986) Rate responses of auditory nerve fibers to tones in noise near masked threshold. J Acoust Soc Am 79:426–442 · doi:10.1121/1.393530
[26] Zacksenhouse M, Johnson DH, Tsuchitani C (1992) Excitatory/inhibitory interaction in the LSO revealed by point process modeling. Hearing Res 62:105–123 · doi:10.1016/0378-5955(92)90207-4
[27] Zook J, DiCaprio R (1988) Intracellular labeling of afferents to the lateral superior olive in the bat. Hearing Res 34:141–148 · doi:10.1016/0378-5955(88)90101-3
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