Abstract
A variety of experimental approaches to forebrain dynamics have revealed consistent correlations between signals in single neurones occurring at different times. Some of the temporal correlations involve action potentials separated in time by up to several hundred milliseconds. Abeles (1982) for instance shows such temporal dependencies in three-way correlations of neuronal spike trains. Villa and Abeles (1990) have demonstrated highly consistent temporal patterning amongst simultaneously recorded thalamic neurones. One of their figures, shown below (Figure 1), illustrates the precise dependencies of the firing of one neurone on that of others occurring several hundred milliseconds apart. Wright and Sergejew (1991) carried out cross-correlation between EEG signals at different loci in the cerebral cortex, and derived a propagation velocity for EEG of 0.1–0.29 m/sec. This clearly implies consistent correlation of signals which are temporally separated by quite long intervals (compared with the usual time scale of electrophysiologists).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abeles, M., 1982, Local cortical circuits. Studies in brain function No 6, Springer, Berlin, Heidelberg, New York.
Gassanov, V.G., Merzhanova, G.Kh., and Galashina, A.G., 1985, Interneuronal relations within and between cortical areas during conditioning in cats, Behav. Brain Res., 15:137.
Miller, R., 1975, Distribution and properties of commissural and other neurons in cat sensorimotor cortex. J. Comp. Neurol. 164:361.
Nunez, P., 1989, Electric fields of the brain: the neurophysics of the EEG. Oxford University Press, New York.
Swadlow, H.A., 1974, Properties of antidromically activated callosal neurons and neurons responsive to callosal input in rabbit binocular cortex. Exp. Neurol. 43:424.
Swadlow, H.A., and Weyand, T.G., 1981, Efferent systems of the rabbit visual cortex: laminar distribution of the cells of origin, axonal conduction velocities and identification of axonal branches. J. Comp. Neurol., 203:799.
Swadlow, H.A., 1991, Efferent neurons and suspected interneurons in second somatosensory cortex of awake rabbit: receptive fields and axonal properties. J. Neurophysiol., 66:1392.
Tank, D.W., and Hopfield, J.J., 1987, Neural computation by concentrating information in time, Proc. Natl Acad. Sci. 84:1896.
Villa, A.E. and Abeles, M., 1990, Evidence for spatiotemporal firing patterns within the auditory thalamus of the cat, Brain Res., 509:325.
Wright, J.J. and Sergejew, A., 1991, Radial coherence, wave velocity and damping of electrocortical waves. Electroencephalogr.Clin. Neurophysiol. 79:403–412.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer Science+Business Media New York
About this chapter
Cite this chapter
Miller, R. (1994). What is the Contribution of Axonal Conduction Delay to Temporal Structure in Brain Dynamics?. In: Pantev, C., Elbert, T., Lütkenhöner, B. (eds) Oscillatory Event-Related Brain Dynamics. NATO ASI Series, vol 271. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1307-4_6
Download citation
DOI: https://doi.org/10.1007/978-1-4899-1307-4_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-1309-8
Online ISBN: 978-1-4899-1307-4
eBook Packages: Springer Book Archive