
- Submitted to the Annals of Applied Statistics A BAYESIAN APPROACH FOR INFERRING NEURONAL
- Variational minimax estimation of discrete distributions under KL loss
- Fast non-negative deconvolution for spike train inference from population calcium imaging
- Efficient active learning with generalized linear models Jeremy Lewi
- Automating the design of informative sequences of sensory Jeremy Lewi, David M. Schneider, Sarah M. N. Woolley, and Liam Paninski
- Smoothing biophysical data 1 Smoothing of, and parameter estimation from, noisy biophysical
- Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains
- A generalized linear model of the impact of direct and indirect inputs to the lateral geniculate nucleus
- INSTITUTE OF PHYSICS PUBLISHING NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst. 15 (2004) 243262 PII: S0954-898X(04)75780-2
- A coincidence-based test for uniformity given very sparsely-sampled discrete data
- Spatio-temporal correlations and visual signaling in a complete neuronal population
- Statistical models for neural encoding, decoding, and optimal stimulus design
- 2200 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 9, SEPTEMBER 2004 [9] L. M. Kaplan and C.-C. J. Kuo, "Fractal estimation from noisy data via
- J Comput Neurosci (2006) 21:7187 DOI 10.1007/s10827-006-7200-4
- Comparing integrate-and-fire models estimated using intracellular and extracellular data 1
- Model-based decoding, information estimation, and change-point detection techniques for multi-neuron
- LETTER Communicated by Anthony Burkitt Maximum Likelihood Estimation of a Stochastic
- A new look at state-space models for neural data Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama,
- INSTITUTE OF PHYSICS PUBLISHING NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst. 14 (2003) 437464 PII: S0954-898X(03)53781-2
- LETTER Communicated by Terrence Sejnowski The Spike-Triggered Average of the Integrate-and-Fire Cell
- ARTICLE Communicated by Jonathan Victor Estimation of Entropy and Mutual Information
- Innovative Methodology Efficient Estimation of Detailed Single-Neuron Models
- Spike Inference from Calcium Imaging Using Sequential Monte Carlo Joshua T. Vogelstein,
- Journal of Computational Neuroscience manuscript No. (will be inserted by the editor)
- Fast Kalman filtering on quasilinear dendritic trees Liam Paninski
- ARTICLE Communicated by Christian Machens Sequential Optimal Design of Neurophysiology Experiments
- 1312 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 52, NO. 7, JULY 2005 Statistical Encoding Model for a Primary Motor
- 96:2578-2592, 2006. First published Jun 21, 2006; doi:10.1152/jn.01086.2005J Neurophysiol Benjamin R. Townsend, Liam Paninski and Roger N. Lemon
- STOCKBYTE&DIGITALVISION Digital Object Identifier 10.1109/MSP.2007.909001
- IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 17, NO. 4, AUGUST 2009 1 Neural Decoding of Hand Motion Using a Linear
- Population Decoding of Motor Cortical Activity using a Generalized Linear Model with Hidden States
- Optimal decoding of stimulus velocity using a probabilistic model of ganglion cell populations in
- LETTER Communicated by Naftali Tishby Asymptotic Theory of Information-Theoretic Experimental
- Undersmoothed kernel entropy estimators Liam Paninski and Masanao Yajima
- Noname manuscript No. (will be inserted by the editor)