TY - GEN
T1 - Tracking Temporal Evolution of Nonlinear Dynamics in Hippocampus using Time-Varying Volterra Kernels
AU - Chan, Rosa H.M.
AU - Song, Dong
AU - Berger, Theodore W.
PY - 2008/8
Y1 - 2008/8
N2 - Hippocampus and other parts of the cortex are not stationary, but change as a function of time and experience. The goal of this study is to apply adaptive modeling techniques to the tracking of multiple-input, multiple-output (MIMO) nonlinear dynamics underlying spike train transformations across brain subregions, e.g. CA3 and CA1 of the hippocampus. A stochastic state point process adaptive filter will be used to track the temporal evolutions of both feedforward and feedback kernels in the natural flow of multiple behavioral events. © 2008 IEEE.
AB - Hippocampus and other parts of the cortex are not stationary, but change as a function of time and experience. The goal of this study is to apply adaptive modeling techniques to the tracking of multiple-input, multiple-output (MIMO) nonlinear dynamics underlying spike train transformations across brain subregions, e.g. CA3 and CA1 of the hippocampus. A stochastic state point process adaptive filter will be used to track the temporal evolutions of both feedforward and feedback kernels in the natural flow of multiple behavioral events. © 2008 IEEE.
UR - https://www.scopus.com/pages/publications/61849121846
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-61849121846&origin=recordpage
U2 - 10.1109/IEMBS.2008.4650336
DO - 10.1109/IEMBS.2008.4650336
M3 - RGC 32 - Refereed conference paper (with host publication)
C2 - 19163839
SN - 9781424418145
T3 - IEEE Engineering in Medicine and Biology Society. Conference Proceedings
SP - 4996
EP - 4999
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - IEEE
T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'08)
Y2 - 20 August 2008 through 24 August 2008
ER -