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Network (Bristol, England)|December 9, 2010
Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methodsKamiar Rahnama Rad, Liam PaninskiNeural Computation|September 1, 2009
Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractorinessTaro Toyoizumi, Kamiar Rahnama Rad, Liam PaninskiJournal of Computational Neuroscience|August 4, 2009
A new look at state-space models for neural dataLiam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, et al.Neural Computation|May 20, 2005
Asymptotic theory of information-theoretic experimental designLiam PaninskiNeural Computation|September 27, 2006
The spike-triggered average of the integrate-and-fire cell driven by gaussian white noiseLiam PaninskiJournal of Computational Neuroscience|November 28, 2009
Fast Kalman filtering on quasilinear dendritic treesLiam PaninskiJournal of Computational Neuroscience|April 25, 2006
The most likely voltage path and large deviations approximations for integrate-and-fire neuronsLiam PaninskiNetwork (Bristol, England)|December 17, 2004
Maximum likelihood estimation of cascade point-process neural encoding modelsLiam PaninskiNetwork (Bristol, England)|August 27, 2003
Convergence properties of three spike-triggered analysis techniquesLiam PaninskiPlos One|January 19, 2024
"No sufro, estoy bien/I am not suffering, so I am doing OK": A mixed method exploration of individual and network-level factors and Type 2 Diabetes Mellitus (T2DM) among Mexican American adults in New York CityKaren R Flórez, Neil S Hwang, Maria Hernandez, et al.Pageof 14