An information-geometric framework for statistical inferences in the neural spike train space
暂无分享,去创建一个
[1] Benjamin Schrauwen,et al. Linking non-binned spike train kernels to several existing spike train metrics , 2006, ESANN.
[2] Anuj Srivastava,et al. Towards statistical summaries of spike train data , 2011, Journal of Neuroscience Methods.
[3] G. Seber. Multivariate observations / G.A.F. Seber , 1983 .
[4] Conor J. Houghton,et al. A New Multineuron Spike Train Metric , 2008, Neural Computation.
[5] G. P. Moore,et al. Neuronal spike trains and stochastic point processes. I. The single spike train. , 1967, Biophysical journal.
[6] G. P. Moore,et al. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. , 1967, Biophysical journal.
[7] D. Mumford,et al. A Metric on Shape Space with Explicit Geodesics , 2007, 0706.4299.
[8] D. Aronov. Fast algorithm for the metric-space analysis of simultaneous responses of multiple single neurons , 2003, Journal of Neuroscience Methods.
[9] Anuj Srivastava,et al. Analysis of planar shapes using geodesic paths on shape spaces , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] J. D. Hunter,et al. Amplitude and frequency dependence of spike timing: implications for dynamic regulation. , 2003, Journal of neurophysiology.
[11] Mark C. W. van Rossum,et al. A Novel Spike Distance , 2001, Neural Computation.
[12] D. Mumford,et al. An overview of the Riemannian metrics on spaces of curves using the Hamiltonian approach , 2006, math/0605009.
[13] Jonathan D. Victor,et al. Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments , 2007, Journal of Neuroscience Methods.
[14] Douglas Curran-Everett,et al. Guidelines for reporting statistics in journals published by the American Physiological Society. , 2004, American journal of physiology. Endocrinology and metabolism.
[15] José Carlos Príncipe,et al. A comparison of binless spike train measures , 2010, Neural Computing and Applications.
[16] G. Laurent,et al. Who reads temporal information contained across synchronized and oscillatory spike trains? , 1998, Nature.
[17] Conor J. Houghton,et al. Studying spike trains using a van Rossum metric with a synapse-like filter , 2009, Journal of Computational Neuroscience.
[18] 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.
[19] H. Karcher. Riemannian center of mass and mollifier smoothing , 1977 .
[20] Emery N. Brown,et al. The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis , 2002, Neural Computation.
[21] R E Kass,et al. Recursive bayesian decoding of motor cortical signals by particle filtering. , 2004, Journal of neurophysiology.
[22] Jonathan D Victor,et al. Non-Euclidean properties of spike train metric spaces. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[23] Paul H. E. Tiesinga,et al. A New Correlation-Based Measure of Spike Timing Reliability , 2002, Neurocomputing.
[24] Peter Dayan,et al. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .
[25] Robert E Kass,et al. Statistical issues in the analysis of neuronal data. , 2005, Journal of neurophysiology.
[26] Antonio Politi,et al. Measuring spike train synchrony , 2007, Journal of Neuroscience Methods.
[27] Jonathan D. Victor,et al. Metric-space analysis of spike trains: theory, algorithms and application , 1998, q-bio/0309031.
[28] F. Mechler,et al. Neural coding of spatial phase in V1 of the macaque monkey. , 2003, Journal of neurophysiology.
[29] J. Victor,et al. Nature and precision of temporal coding in visual cortex: a metric-space analysis. , 1996, Journal of neurophysiology.
[30] José Carlos Príncipe,et al. A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing , 2009, Neural Computation.
[31] Anuj Srivastava,et al. Riemannian Analysis of Probability Density Functions with Applications in Vision , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Dukhwan Lim,et al. Measurement of temporal regularity of spike train responses in auditory nerve fibers of the green treefrog , 1994, Journal of Neuroscience Methods.
[33] Robert E. Kass,et al. A Spike-Train Probability Model , 2001, Neural Computation.
[34] Marcelo O. Magnasco,et al. A Fast p Spike Alignment Metric , 2010, Neural Computation.
[35] William Bialek,et al. Spikes: Exploring the Neural Code , 1996 .
[36] R. Kass,et al. Geometrical Foundations of Asymptotic Inference: Kass/Geometrical , 1997 .
[37] R Quian Quiroga,et al. Event synchronization: a simple and fast method to measure synchronicity and time delay patterns. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[38] N. Čencov. Statistical Decision Rules and Optimal Inference , 2000 .
[39] J. S. Hunter,et al. Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. , 1979 .
[40] Nicholas G Hatsopoulos,et al. Template-based spike pattern identification with linear convolution and dynamic time warping. , 2007, Journal of neurophysiology.
[41] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[42] John W. Tukey,et al. Exploratory Data Analysis , 1980, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.