Title :
Theoretical decomposition of neuronal networks
Author :
Sclabassi, R.J. ; Krieger, D.N. ; Solomon, J. ; Kosanovic, B. ; Berger, T.W.
Author_Institution :
Center of Neurosci., Pittsburgh Univ., PA, USA
Abstract :
An approach to the calculation of the unobservable elements of the hippocampal formation is presented. The approach is based on characterizing the transformational properties of this neuronal structure using the kernels of a functional power series expansion. In this approach the network properties are characterized as the composite of input/output functions measured for each subsystem in the network. The multidimensional Laplace transforms are then computed and manipulated to provide an estimate of the transformation properties of the unobservable elements
Keywords :
brain models; neural nets; physiological models; decomposition; functional power series expansion; hippocampal formation; input/output functions; kernels; multidimensional Laplace transforms; network properties; neuronal networks; neuronal structure; transformation properties; unobservable elements; Biological neural networks; Brain; Electrophysiology; Hippocampus; Kernel; Multidimensional systems; Nerve fibers; Neurofeedback; Neurons; Neuroscience;
Conference_Titel :
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-0620-1
DOI :
10.1109/MWSCAS.1991.252139
