Abstract
The brain is usually viewed as an organ in which neurons respond to signals from the environment, and other neurons control muscles acting upon the environment. The link between the two is formed by an enormous neuronal network within which a complex signal processing goes on, involving memory storage and retrieval. This view implicitly presupposes the knowledge of the notion of “environment”, together with some of its fundamental properties, such as containing objects. The role of neuronal activity is then to generate a representation of individual situations occurring in that environment.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Abeles, M. (1982): “Local cortical circuits”. In Studies of brain function. Vol 6, ed. by V. Braitenberg (Springer, Berlin, Heidelberg )
Aertsen, A.M.H.J., Gerstein G.L. (1985): Evaluation of neuronal connectivity: Sensitivity of cross correlation. Brain Res. 340, 341–354
Aiple, F., Krüger, J. (1988): Neuronal synchrony in monkey striate cortex: interocular signal flow and dependency on spike rates. Exp. Brain Res. 72, 141–149
Bach, M. (1982): Untersuchungen zur Wechselwirkung zwischen Nervenzellen im visuellen Cortex mit Vielfach-Mikroelektroden. Thesis, Freiburg
Bach, M., Krüger, J. (1986): Correlated neuronal variability in the monkey’s visual cortex revealed by a multi-microelectrode. Exp. Brain Res. 61, 451–456
Boch, R. (1986): Behavioral modulation of neuronal activity in monkey striate cortex: excitation in the absence of active central fixation. Exp. Brain Res. 64, 610–614
Bolz, J., Rosner, G., Wässle, H. (1982): Response latency of brisk-sustained (X) and brisk-transient (Y) cells in the cat retina. J. Physiol. London 328, 171–190
Braitenberg, V. (1978): “Cortical architectonics: general and areal”. In: Architectonics of the cerebral cortex, ed by M.A.B. Brazier, H. Petsche ( Raven Press, New York ) pp. 443–465
Burns, B.D. (1968): The Uncertain Nervous System (E. Arnold, London )
Doty, R.W. (1980): Non geniculate afferents to striate cortex in macaques. Exp. Brain Res. 41, A10–11
Eckhorn, R., Pöpel B. (1975): Rigorous and extended application of information theory to the afferent visual system of the cat. II. Experimental results. Biol. Cybern. 17, 7–17
Eckhorn, R., Pöpel B. (1975): Rigorous and extended application of information theory to the afferent visual system of the cat. II. Experimental results. Kybernetik 17, 7–17
Fischer, B., Boch R. (1990): “Cerebral Cortex”. In: Vision and visual dysfunction, ed. by R. Carpenter Eye movements Vol. 9 ( Macmillan, London )
Goldman-Rakic P.S. (1988): Topography of cognition: Parallel distributed networks in primate association cortex. Ann. Rev. Neurosci. 11, 137–156
Hebb, D.O. (1949): The organization of behavior ( Wiley, New York )
Hubel, D.H., Wiesel, T.N. (1974): Uniformity of monkey striate cortex: A parallel relationship between field size, scatter, and magnification factor. J. Comp. Neurol. 158, 295–306
Hubel, D.H., Wiesel, T.N. (1977): Functional architecture of macaque monkey visual cortex. Proc. R. Soc. Lond. B. 198, 1–59
Krüger, J. (1983): Simultaneous individual recordings from many cerebral neurons: techniques and results. Rev. Physiol. Biochem. Pharmacol. 98, 177–233
Krüger, J., Aiple, F. (1988): Multi-microelectrode investigation of monkey striate cortex: spike train correlations in the infragranular layers. J. Neurophysiol. 60, 798–828
Krüger, J., Aiple, F. (1989): The connectivity underlying the orientation selectivity in monkey striate cortex. Brain Res. 477, 57–65
Livingstone, M.S., Hubel, D.H. (1987): Psychophysical evidence for separate channels for the perception of form, color, movement and depth. J. Neurosci. 7, 3416–3468
Mastronarde, D.N. (1983): Correlated firing of cat retinal ganglion cells. I. Spontaneously active inputs to X- and Y-cells. J. Neurophysiol. 49, 303–324
Optican, L.M., Richmond B. (1987): Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information-theoretic analysis. J. Neurophysiol. 57, 162–178
Perkel, D.H., Gerstein, G.L., Moore, G.P. (1967a): Neuronal spike trains and stochastic point processes. I. The single spike train. Biophys. J. 7, 391–418
Perkel, D.H., Gerstein, G.L., Moore. G.P. (1967b): Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys. J. 7, 419–440
Raiguel, S.E., Lagae, L., Gulyàs, B., Orban, G.A. (1989): Response latencies of visual cells in macaque areas V1, V2 and V5. Brain Res. 493, 155–159
Sestokas, A.K., Lehmkuhle, S. (1986): Visual response latency of X- and Y-cells in the dorsal lateral geniculate nucleus of the cat. Vision Res. 26, 1041–1054
Shaw, G.L., Silverman, D.J., Pearson, J.C. (1986): “Trion model of cortical organization: Toward a theory of information processing and memory”. In: Brain Theory, ed. by G. Palm, A. Aertsen ( Springer, Berlin, Heidelberg ) pp. 177–191
Sherman, S.M., Koch, C. (1986): The control of retinogeniculate transmission in the mammalian lateral geniculate nucleus. Exp. Brain Res. 63, 1–20
Steriade, M., Deschênes (1984): The thalamus as a neuronal oscillator. Brain Res. Reviews 8, 1–63
Vogels, R., Spileers, W., Orban, G.A. (1989): The response variability of striate cortical neurons in the behaving monkey. Exp. Brain Res. 77, 432–436
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Krüger, J. (1991). Spike Train Correlations on Slow Time Scales in Monkey Visual Cortex. In: Krüger, J. (eds) Neuronal Cooperativity. Springer Series in Synergetics, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84301-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-84301-3_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-84303-7
Online ISBN: 978-3-642-84301-3
eBook Packages: Springer Book Archive