Multiple neural spike train data analysis: state-of-the-art and future challenges
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[1] D. Perkel,et al. Simultaneously Recorded Trains of Action Potentials: Analysis and Functional Interpretation , 1969, Science.
[2] R. Cowan. An introduction to the theory of point processes , 1978 .
[3] D. Brillinger. Comparative Aspects of the Study of Ordinary Time Series and of Point Processes , 1978 .
[4] Karl V. Hertz,et al. Crucial Issues in Education. By Henry Ehlers. New York: Holt, Rinehart and Winston, 1981 , 1982 .
[5] M. Abeles. Quantification, smoothing, and confidence limits for single-units' histograms , 1982, Journal of Neuroscience Methods.
[6] A. P. Georgopoulos,et al. Neuronal population coding of movement direction. , 1986, Science.
[7] G L Gerstein,et al. Detecting spatiotemporal firing patterns among simultaneously recorded single neurons. , 1988, Journal of neurophysiology.
[8] William Bialek,et al. Reading a Neural Code , 1991, NIPS.
[9] M K Habib,et al. Dynamics of neuronal firing correlation: modulation of "effective connectivity". , 1989, Journal of neurophysiology.
[10] Simon Haykin,et al. Advances in spectrum analysis and array processing , 1991 .
[12] David R. Brillinger,et al. Nerve Cell Spike Train Data Analysis: A Progression of Technique , 1992 .
[13] B L McNaughton,et al. Dynamics of the hippocampal ensemble code for space. , 1993, Science.
[14] William R. Softky,et al. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[15] A. Walden,et al. Spectral analysis for physical applications : multitaper and conventional univariate techniques , 1996 .
[16] William Bialek,et al. Spikes: Exploring the Neural Code , 1996 .
[17] Partha P. Mitra,et al. Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability , 1996, Journal of Neuroscience Methods.
[18] William Bialek,et al. Entropy and Information in Neural Spike Trains , 1996, cond-mat/9603127.
[19] Pamela Reinagel,et al. Decoding visual information from a population of retinal ganglion cells. , 1997, Journal of neurophysiology.
[20] M S Lewicki,et al. A review of methods for spike sorting: the detection and classification of neural action potentials. , 1998, Network.
[21] Daryl J. Daley,et al. An Introduction to the Theory of Point Processes , 2013 .
[22] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[23] B L McNaughton,et al. Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.
[24] 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.
[25] G B Stanley,et al. Reconstruction of Natural Scenes from Ensemble Responses in the Lateral Geniculate Nucleus , 1999, The Journal of Neuroscience.
[26] Alexander Borst,et al. Information theory and neural coding , 1999, Nature Neuroscience.
[27] Carlos D. Brody,et al. Correlations Without Synchrony , 1999, Neural Computation.
[28] B J Richmond,et al. Stochastic nature of precisely timed spike patterns in visual system neuronal responses. , 1999, Journal of neurophysiology.
[29] Jerald D. Kralik,et al. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates , 2000, Nature.
[30] J. Csicsvari,et al. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. , 2000, Journal of neurophysiology.
[31] A. Walden,et al. Wavelet Methods for Time Series Analysis , 2000 .
[32] Kathryn B. Laskey,et al. Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies , 2000, Neural Computation.
[33] Hiroyuki Ito,et al. Model Dependence in Quantification of Spike Interdependence by Joint Peri-Stimulus Time Histogram , 2000, Neural Computation.
[34] E N Brown,et al. An analysis of neural receptive field plasticity by point process adaptive filtering , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[35] F. Mechler,et al. Independent and Redundant Information in Nearby Cortical Neurons , 2001, Science.
[36] Robert E. Kass,et al. A Spike-Train Probability Model , 2001, Neural Computation.
[37] N. Logothetis,et al. Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.
[38] P. Latham,et al. Retinal ganglion cells act largely as independent encoders , 2001, Nature.
[39] Y. Ritov,et al. Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations , 2001, Journal of Neuroscience Methods.
[40] Michael R. Chernick,et al. Wavelet Methods for Time Series Analysis , 2001, Technometrics.
[41] George L. Gerstein,et al. Determination of Response Latency and Its Application to Normalization of Cross-Correlation Measures , 2001, Neural Computation.
[42] Partha P. Mitra,et al. Sampling Properties of the Spectrum and Coherency of Sequences of Action Potentials , 2000, Neural Computation.
[43] M. Quirk,et al. Construction and analysis of non-Poisson stimulus-response models of neural spiking activity , 2001, Journal of Neuroscience Methods.
[44] L Stuart,et al. Visualisation of synchronous firing in multi-dimensional spike trains. , 2002, Bio Systems.
[45] Dawn M. Taylor,et al. Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.
[46] Stefan Rotter,et al. Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics , 2002, Neural Computation.
[47] Sonja Grün,et al. Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data , 2002, Neural Computation.
[48] Bijan Pesaran,et al. Temporal structure in neuronal activity during working memory in macaque parietal cortex , 2000, Nature Neuroscience.
[49] Y. Pawitan. In all likelihood : statistical modelling and inference using likelihood , 2002 .
[50] S. Meagher. Instant neural control of a movement signal , 2002 .
[51] Matthew C Wiener,et al. Decoding Spike Trains Instant by Instant Using Order Statistics and the Mixture-of-Poissons Model , 2003, The Journal of Neuroscience.
[52] Emery N. Brown,et al. Information and Statistical Structure in Spike Trains , 2003 .
[53] L. M. Ould Mohamed Abdallahi,et al. Parameter estimation in a model for multidimensional recording of neuronal data: a Gibbsian approximation approach , 2003, Biological Cybernetics.
[54] L. Frank,et al. An application of reversible-jump Markov chain Monte Carlo to spike classification of multi-unit extracellular recordings. , 2003, Network.
[55] R. Kass,et al. Statistical smoothing of neuronal data. , 2003, Network.
[56] Michael J. Black,et al. A quantitative comparison of linear and non-linear models of motor cortical activity for the encoding and decoding of arm motions , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..
[57] Bahjat F. Qaqish,et al. A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations , 2003 .
[58] Sonja Grün,et al. Non-parametric significance estimation of joint-spike events by shuffling and resampling , 2003, Neurocomputing.
[59] Oren Shriki,et al. Rate Models for Conductance-Based Cortical Neuronal Networks , 2003, Neural Computation.
[60] David W Tank,et al. Behavioral/systems/cognitive Correlated Discharge among Cell Pairs within the Oculomotor Horizontal Velocity-to-position Integrator Materials and Methods , 2022 .
[61] Matthew A. Wilson,et al. Dynamic Analyses of Information Encoding in Neural Ensembles , 2004, Neural Computation.
[62] R E Kass,et al. Recursive bayesian decoding of motor cortical signals by particle filtering. , 2004, Journal of neurophysiology.
[63] E. S. Chornoboy,et al. Maximum likelihood identification of neural point process systems , 1988, Biological Cybernetics.
[64] D. Brillinger. Maximum likelihood analysis of spike trains of interacting nerve cells , 2004, Biological Cybernetics.