A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
暂无分享,去创建一个
[1] J. Csicsvari,et al. Oscillatory Coupling of Hippocampal Pyramidal Cells and Interneurons in the Behaving Rat , 1999, The Journal of Neuroscience.
[2] Eero P. Simoncelli,et al. Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons , 2002 .
[3] J. Csicsvari,et al. Organization of cell assemblies in the hippocampus , 2003, Nature.
[4] L. Paninski. Maximum likelihood estimation of cascade point-process neural encoding models , 2004, Network.
[5] E. S. Chornoboy,et al. Maximum likelihood identification of neural point process systems , 1988, Biological Cybernetics.
[6] D. Brillinger. Maximum likelihood analysis of spike trains of interacting nerve cells , 2004, Biological Cybernetics.
[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] E. Brown. Course 14 - Theory of Point Processes for Neural Systems , 2005 .
[9] Michael J. Berry,et al. Weak pairwise correlations imply strongly correlated network states in a neural population , 2005, Nature.
[10] Y. Peres,et al. Determinantal Processes and Independence , 2005, math/0503110.
[11] Eero P. Simoncelli,et al. Spatio-temporal correlations and visual signalling in a complete neuronal population , 2008, Nature.
[12] G. Buzsáki,et al. Theta Oscillations Provide Temporal Windows for Local Circuit Computation in the Entorhinal-Hippocampal Loop , 2009, Neuron.
[13] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[14] Ben Taskar,et al. Structured Determinantal Point Processes , 2010, NIPS.
[15] Ben Taskar,et al. Determinantal Point Processes for Machine Learning , 2012, Found. Trends Mach. Learn..
[16] Ryan P. Adams,et al. Priors for Diversity in Generative Latent Variable Models , 2012, NIPS.
[17] Ben Taskar,et al. Nystrom Approximation for Large-Scale Determinantal Processes , 2013, AISTATS.
[18] M. Carandini,et al. Normalization as a canonical neural computation , 2013, Nature Reviews Neuroscience.
[19] T. Hunter,et al. Organization of cell assemblies in the hippocampus , 2003 .