Science

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 What Object Motion Reveals about Shape with Unknown BRDF and Lighting CVPR 2013 A lattice filter model of the visual pathway NeurIPS 2012 A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 A systematic approach to extracting semantic information from functional MRI data NeurIPS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012 Efficient and direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Identification of Recurrent Patterns in the Activation of Brain Networks NeurIPS 2012