Interdisciplinary

Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NeurIPS 2011 Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits NeurIPS 2011 Empirical models of spiking in neural populations NeurIPS 2011 Energetically Optimal Action Potentials NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NeurIPS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 How biased are maximum entropy models? NeurIPS 2011 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NeurIPS 2011 Inferring spike-timing-dependent plasticity from spike train data NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Modelling Genetic Variations using Fragmentation-Coagulation Processes NeurIPS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Natural Language Processing (Almost) from Scratch JMLR 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011