neural population

Adaptive stimulus selection for optimizing neural population responses NeurIPS 2017 Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations NeurIPS 2017 Linear dynamical neural population models through nonlinear embeddings NeurIPS 2016 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 Extracting Latent Structure From Multiple Interacting Neural Populations NeurIPS 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Recurrent linear models of simultaneously-recorded neural populations NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012 Empirical models of spiking in neural populations NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 Linear readout from a neural population with partial correlation data NeurIPS 2010 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 Neurometric function analysis of population codes NeurIPS 2009 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007 Receptive Fields without Spike-Triggering NeurIPS 2007