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neural data analysis

7 papers

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Co-occurring keywords · papers mentioning both

neural data (3) state space model (2) spike train (2) latent dynamics (2) bayesian inference (2) dimensionality reduction (2) electrophysiological recording (1) neural state transition (1) parametric prior (1) poisson generalized linear model (1)

Papers

Meta-Dynamical State Space Models for Integrative Neural Data Analysis ICLR 2025 Scaling the Poisson GLM to massive neural datasets through polynomial approximations NeurIPS 2018 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Demixed Principal Component Analysis NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010