Advanced methods of physiological system modeling, Volume 1 |
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Contents
Citron Department of Neurology Research Childrens Hospital of Los Angeles | 1 |
Part 1 | 27 |
Andrew S French Department of Physiology University of Alberta Edmonton Alberta | 41 |
Copyright | |
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ablation activity analysis anesthetized animals application approach approximately average calculated cascade catfish Citron coefficients components computed cortex cortical crosscorrelation dynamics effect electrode Emerson evoked experimental facilitation Figure filter first-order kernel flash frequency ganglion cells Gaussian granule cells hippocampal formation impulse response inhibition input input-output inter-impulse intervals interstimulus intervals ISI's Korenberg latency latency spikes linear system Marmarelis measured method modulation Naka neural neurons Neurophysiol noise nonlinear interactions nonlinear residual nonlinear systems nonparametric obtained output parameter peak perforant path photons Physiol physiological systems plotted point process population spikes positive potential predicted produced properties random train stimulation receptive field response function retina Schetzen Sclabassi second order kernel second-order kernel sequence Shapley shown in Fig shows signal somatosensory system spatial spatiotemporal spike train stimulus stochastic system identification temporal time-varying time-varying systems torque unanesthetized visual Volterra kernels Volterra series white-noise Wiener kernels zero