Science

Inferring synaptic conductances from spike trains with a biophysically inspired point process model NeurIPS 2014 Learning convolution filters for inverse covariance estimation of neural network connectivity NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Multivariate Regression with Calibration NeurIPS 2014 Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NeurIPS 2014 On the relations of LFPs & Neural Spike Trains NeurIPS 2014 Optimal decision-making with time-varying evidence reliability NeurIPS 2014 Optimal Neural Codes for Control and Estimation NeurIPS 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 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 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 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 Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 A memory frontier for complex synapses 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