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Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains., , и . Neural Comput., 23 (1): 46-96 (2011)Biases in white noise analysis due to non-Poisson spike generation., и . Neurocomputing, (2003)Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields., , , и . Neural Comput., 35 (6): 995-1027 (июня 2023)Bayesian estimation of discrete entropy with mixtures of stick-breaking priors., , и . NIPS, стр. 2024-2032. (2012)Active learning of neural response functions with Gaussian processes., , и . NIPS, стр. 2043-2051. (2011)Convolutional spike-triggered covariance analysis for neural subunit models., , и . NIPS, стр. 793-801. (2015)Modeling the impact of common noise inputs on the network activity of retinal ganglion cells., , , , , , , , и . J. Comput. Neurosci., 33 (1): 97-121 (2012)Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains., , и . Neural Comput., 23 (1): 1-45 (2011)Bayesian Active Learning of Neural Firing Rate Maps with Transformed Gaussian Process Priors., , , и . Neural Comput., 26 (8): 1519-1541 (2014)Loss-calibrated expectation propagation for approximate Bayesian decision-making., и . CoRR, (2022)