DocumentCode
3401139
Title
Modeling of neuronal networks through experimental decomposition
Author
Berger, Theodore W. ; Harty, T. Patrick ; Xie, Xiaping ; Barrionuevo, German ; Sclabassi, Robert J.
Author_Institution
Pittsburgh Univ., PA, USA
fYear
1991
fDate
14-17 May 1991
Firstpage
91
Abstract
The studies reviewed experimental procedures which attempted to eliminate anatomical connections between dentate granule cells and progressively increasing numbers of other populations of cells belonging to the hippocampus. The objectives were to identify response dynamics intrinsic to dentate granule cells and to determine, at least qualitatively, the extent to which those intrinsic dynamics are modified by other populations of hippocampal neurons normally interconnected with granule cells. Nonlinear response characteristics of granule cells, when examined in relative isolation, were qualitatively different from nonlinearities expressed by the same population of neurons when interacting with other elements of the hippocampal system. This indicates that the influence of the network on functional characteristics of one of its elements can be substantial. It is also found that the use of relatively standard procedures for preparing in vitro slices of central nervous system tissue may allow a close approximation of open-loop conditions for major cell populations of mammalian neural systems
Keywords
brain models; cellular biophysics; neural nets; neurophysiology; central nervous system tissue; decomposition; dentate granule cells; functional characteristics; hippocampal neurons; hippocampus; mammalian neural systems; neuronal networks; open-loop conditions; Biological neural networks; Complex networks; Computer aided instruction; Hippocampus; Kernel; Neurofeedback; Neurons; Neuroscience; Nonlinear dynamical systems; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location
Monterey, CA
Print_ISBN
0-7803-0620-1
Type
conf
DOI
10.1109/MWSCAS.1991.252134
Filename
252134
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