Transient persistence of neural activity after periodic stimulation in the cat LGN
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Abstract
Oscillatory neural activity recorded from gross concentric electrodes implanted in the lateral geniculate nucleus (LGN) of cat was investigated after trains of periodic electrical shock stimulation were applied to the contralateral optic nerve. Spectral analysis using repeated trials and spectral averaging revealed statistically significant spectral peaks (p<0.05) at the stimulus frequency when there was a 0.5 to 1.5 s delay between the last pulse of the stimulus train and the beginning of the data analysis window. This suggests that a loosely coupled neuronal net may allow for the continuation of activity far longer than the time accounted for by neuronal time constants and delays.
Keywords
Optic Nerve Neural Activity Lateral Geniculate Nucleus Stimulus Frequency Analysis Window
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References
- Bendat, J.S., Piersol, A.G.: Random data: analysis and measurement procedures, pp. 170–213. New York: Wiley-Interscience 1971Google Scholar
- Chow, K.L., Dewson, J.H.: Bioelectrical activity of isolated cortex-I responses induced by interaction of low-and high-frequency electrical stimulation. Neuropsychologia 3, 153–165 (1964)Google Scholar
- Chow, K.L., Lindsley, D.F., Gollender, M.: Modification of response patterns of lateral geniculate neurons after paired stimulation of contralateral and ipsilateral eyes. J. Neurophysiol. 31, 729–739 (1968)Google Scholar
- Marmarelis, P.Z., Marmarelis, V.Z.: Analysis of physiological systems. The white-noise approach. New York: Plenum Press 1978Google Scholar
- Morrell, F.: Discussion in: Brain mechanisms and learning. DeLafresnaye, J.F. (ed). Oxford: Blackwell 1961Google Scholar
- Papoulis, A.: Probability, random variables, and stochastic processes, pp. 151. New York: McGraw-Hill 1965Google Scholar
- Papoulis, A. Signal analysis, pp. 325–350. New York: McGraw-Hill 1977Google Scholar
- Pavlidis, T.: Biological oscillators: their mathematical analysis. New York: Academic Press 1973Google Scholar
- Wall III, C., Kozak, W.M., Sanderson, A.C.: Entrainment of oscillatory neural activity in the cat's lateral geniculate nucleus. Biol. Cybernetics 33, 63–75 (1979)Google Scholar
- Welch, P.D.: The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 15, 70–73 (1967)Google Scholar
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