Interdisciplinary

Optimal Neural Codes for Control and Estimation NeurIPS 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 Predicting Object Dynamics in Scenes CVPR 2014 Predicting User Annoyance Using Visual Attributes CVPR 2014 Real-Time Decoding of an Integrate and Fire Encoder NeurIPS 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Sensory Integration and Density Estimation NeurIPS 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Unsupervised learning of an efficient short-term memory network NeurIPS 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 A Color Constancy Model with Double-Opponency Mechanisms ICCV 2013 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 A memory frontier for complex synapses NeurIPS 2013 A multi-agent control framework for co-adaptation in brain-computer interfaces NeurIPS 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian optimization explains human active search NeurIPS 2013