Bayesian modelling and analysis of spatio-temporal neuronal networks
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Fabio Rigat | M.C.M. de Gunst | J. van Pelt | J. Pelt | F. Rigat | M. Gunst | Gunst de Mcm | P. Jaap
[1] S E Fienberg,et al. Stochastic models for single neuron firing trains: a survey. , 1974, Biometrics.
[2] Michael A. West,et al. Deconvolution of Mixtures in Analysis of Neural Synaptic Transmission , 1994 .
[3] Nir Friedman,et al. Inferring Cellular Networks Using Probabilistic Graphical Models , 2004, Science.
[4] M. Wilson,et al. Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity , 2005, Neural Computation.
[5] Wang,et al. Nonuniversal critical dynamics in Monte Carlo simulations. , 1987, Physical review letters.
[6] Yuzuru Takamura,et al. Investigating neuronal activity with planar microelectrode arrays: achievements and new perspectives. , 2005, Journal of bioscience and bioengineering.
[7] Wulfram Gerstner,et al. Spiking Neuron Models , 2002 .
[8] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[9] P. Gehler,et al. An introduction to graphical models , 2001 .
[10] P. Green,et al. Bayesian Variable Selection and the Swendsen-Wang Algorithm , 2004 .
[11] David R. Brillinger,et al. Nerve Cell Spike Train Data Analysis: A Progression of Technique , 1992 .
[12] R. Kass,et al. Bayesian curve-fitting with free-knot splines , 2001 .
[13] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[14] Robert E. Kass,et al. A Spike-Train Probability Model , 2001, Neural Computation.
[15] David R. Brillinger,et al. Assessing Connections in Networks of Biological Neurons , 2007 .
[16] Simon J. Godsill,et al. On the relationship between MCMC model uncertainty methods , 1997 .
[17] R. Kass,et al. Multiple neural spike train data analysis: state-of-the-art and future challenges , 2004, Nature Neuroscience.
[18] Mark W. Woolrich,et al. Fully Bayesian spatio-temporal modeling of FMRI data , 2004, IEEE Transactions on Medical Imaging.
[19] Kathryn B. Laskey,et al. Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies , 2000, Neural Computation.
[20] Eugene M. Izhikevich,et al. Resonate-and-fire neurons , 2001, Neural Networks.
[21] D. Pregibon,et al. Graphical Methods for Assessing Logistic Regression Models , 1984 .
[22] L. Tierney. Markov Chains for Exploring Posterior Distributions , 1994 .
[23] R. Kass,et al. Statistical smoothing of neuronal data. , 2003, Network.
[24] Marco Gori,et al. Adaptive Processing of Sequences and Data Structures , 1998, Lecture Notes in Computer Science.
[25] David R. Brillinger,et al. Empirical examination of the threshold model of neuron firing , 1979, Biological Cybernetics.
[26] Kevin Murphy,et al. Modelling Gene Expression Data using Dynamic Bayesian Networks , 2006 .
[27] Satish Iyengar,et al. The Analysis of Multiple Neural Spike Trains , 2003, Advances on Methodological and Applied Aspects of Probability and Statistics.
[28] D. Brillinger. Maximum likelihood analysis of spike trains of interacting nerve cells , 2004, Biological Cybernetics.
[29] Emery N. Brown,et al. The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis , 2002, Neural Computation.
[30] A. Gelfand,et al. Bayesian Model Choice: Asymptotics and Exact Calculations , 1994 .
[31] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[32] E. George,et al. Journal of the American Statistical Association is currently published by American Statistical Association. , 2007 .
[33] M. Escobar,et al. Bayesian Density Estimation and Inference Using Mixtures , 1995 .
[34] P. Dellaportas,et al. Bayesian variable selection using the Gibbs sampler , 2000 .
[35] Robert E Kass,et al. Statistical issues in the analysis of neuronal data. , 2005, Journal of neurophysiology.
[36] Wim L. C. Rutten,et al. Long-term characterization of firing dynamics of spontaneous bursts in cultured neural networks , 2004, IEEE Transactions on Biomedical Engineering.
[37] Kevin P. Murphy,et al. Learning the Structure of Dynamic Probabilistic Networks , 1998, UAI.
[38] C. Geyer. Markov Chain Monte Carlo Maximum Likelihood , 1991 .
[39] G. C. Tiao,et al. A bayesian approach to some outlier problems. , 1968, Biometrika.
[40] Michael I. Jordan. Graphical Models , 2003 .
[41] Dean Phillips Foster,et al. Calibration and Empirical Bayes Variable Selection , 1997 .
[42] E. George,et al. APPROACHES FOR BAYESIAN VARIABLE SELECTION , 1997 .
[43] T. Ferguson. BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS , 1983 .
[44] H. L. Bryant,et al. Identification of synaptic interactions , 1976, Biological Cybernetics.
[45] Rajesh P. N. Rao. Hierarchical Bayesian Inference in Networks of Spiking Neurons , 2004, NIPS.
[46] E. S. Chornoboy,et al. Maximum likelihood identification of neural point process systems , 1988, Biological Cybernetics.
[47] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[48] Michael A. West,et al. Hierarchical Mixture Models in Neurological Transmission Analysis , 1997 .
[49] David Draper,et al. Assessment and Propagation of Model Uncertainty , 2011 .
[50] D. Brillinger. Some Statistical Methods for Random Process Data from Seismology and Neurophysiology , 1988 .
[51] Hani Doss,et al. On estimating the dependence between two point processes , 1989 .
[52] D. Pregibon. Logistic Regression Diagnostics , 1981 .
[53] S. Chib,et al. Bayesian residual analysis for binary response regression models , 1995 .
[54] 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.
[55] M. Corner,et al. Dynamics and plasticity in developing neuronal networks in vitro. , 2005, Progress in brain research.
[56] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[57] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[58] Peter Spirtes,et al. Directed Cyclic Graphical Representations of Feedback Models , 1995, UAI.
[59] F. Papangelou. Integrability of expected increments of point processes and a related random change of scale , 1972 .
[60] S. Yoshizawa,et al. An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.