论文信息 - Phase spectrum of point process recursive filters

Phase spectrum of point process recursive filters

Point process recursive filters are used for estimating variables that drive point processes. One application of these filters is neural spike train decoding. Here, a new method is developed for estimating the phase spectrum of a point process recursive filter that has been used for spike train decoding. The results suggest that this method can be used in neural data analysis applications.

Murat Okatan

[1] J. Taube,et al. Behavioral/systems/cognitive Hippocampal Place Cell Instability after Lesions of the Head Direction Cell Network , 2022 .

[2] Kempter Richard,et al. Single-trial phase precession in the hippocampus , 2009 .

[3] Daryl J. Daley,et al. An Introduction to the Theory of Point Processes , 2013 .

[4] Y. Pawitan. In all likelihood : statistical modelling and inference using likelihood , 2002 .

[5] G. P. Moore,et al. Neuronal spike trains and stochastic point processes. I. The single spike train. , 1967, Biophysical journal.

[6] David J. Aidley,et al. Nerve and muscle , 1981 .

[7] Uri T Eden,et al. A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. , 2005, Journal of neurophysiology.

[8] Matthew A. Wilson,et al. Dynamic Analyses of Information Encoding in Neural Ensembles , 2004, Neural Computation.

[9] E N Brown,et al. A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells , 1998, The Journal of Neuroscience.

[10] Emery N. Brown,et al. The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis , 2002, Neural Computation.

[11] G. P. Moore,et al. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. , 1967, Biophysical journal.