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Home > Journals by Subject > Computer Science > IJNS > Vol. 3 > No. supp01
International Journal of Neural Systems (IJNS)
Title:DYNAMICS OF COHERENCE IN CORTICAL NEURAL ACTIVITY: EXPERIMENTAL OBSERVATIONS AND FUNCTIONAL INTERPRETATIONS
DOI No:doi:10.1142/S0129065792000437
Source:International Journal of Neural Systems, Vol. 3, Supplementary Issue 1 (1992) 105-114
Copyright:World Scientific Publishing Company
Author(s):Ad Aertsen
Institut für Neuroinformatik, Ruhr-Universität Bochum, PO Box 102184, D-4630 Bochum, FRG, Germary

Eilon Vadia
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Moshe Abeles
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Ehud Ahissar
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Hagai Bergman
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Benny Karmon
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Yizhar Lavner
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Eyal Margalit
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Israel Nelken
Dept. of Physiology, Hadassah, Hebrew University, PO Box 172, Jerusalem 91010, Israel

Stefan Rotter
Max-Planck-Institut für biologische Kybernetik, Spemannstrasse, 38, D-7400 Tübingen, FRG, Germary

Abstract:We present results from an ongoing electrophysiological study of cortical function in the awake, behaving monkey. Single and multiple neuron activity is recorded from the frontal cortex, while the monkey is engaged in a sensory-motor association task. Results show that neighboring neurons in the frontal cortex may be functionally related and share common features. However, even when neurons were reduced by the same microelectrode, they were not all activated in unison, nor did they all show the same functional properties. Correlation analysis reveals that interactions between neurons may strongly depend on stimulus context and/or behavioral state. Moreover, the interactions may be highly dynamic, with time constants of modulation as low as tens of milliseconds. These findings point at the need to distinguish between anatomical connectivity and functional coupling. The underlying mechanisms as well as the functional implications of such dynamic coupling in cortical networks are discussed.
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