Interdisciplinary

A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 A Framework for Testing Identifiability of Bayesian Models of Perception NeurIPS 2014 Algorithm selection by rational metareasoning as a model of human strategy selection NeurIPS 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 An Automated Estimator of Image Visual Realism Based on Human Cognition CVPR 2014 A Reverse Hierarchy Model for Predicting Eye Fixations CVPR 2014 A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NeurIPS 2014 A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System NeurIPS 2014 Biclustering Using Message Passing NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Extracting Latent Structure From Multiple Interacting Neural Populations NeurIPS 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Inferring synaptic conductances from spike trains with a biophysically inspired point process model NeurIPS 2014 Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar ACL 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 Magnitude-sensitive preference formation` 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