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Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models., , и . Neural Comput., (2018)Modeling neural spiking activity in the sub-thalamic nucleus of Parkinson's patients and a healthy primate., , , , , , и . CDC, стр. 2012-2017. IEEE, (2008)A Quantitative Representation of Continuous Brain State During Sleep., , , и . NER, стр. 103-106. IEEE, (2021)Continuous Prediction of Cognitive State Using A Marked-Point Process Modeling Framework., , , , , , и . EMBC, стр. 2933-2938. IEEE, (2019)Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework*., , , , и . EMBC, стр. 2362-2365. IEEE, (2018)Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique., , , , , , и . EMBC, стр. 3194-3197. IEEE, (2017)Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations., , и . CoRR, (2022)Switching Functional Network Models of Oscillatory Brain Dynamics., , и . IEEECONF, стр. 607-612. IEEE, (2022)Emergence of Persistent Networks in Long-Term Intracranial EEG Recordings, , , , , и . Journal of Neuroscience, 31 (44): 15757-15767 (2011)Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1., , , , и . Neural Comput., 21 (12): 3305-3334 (2009)