Interdisciplinary

An Information Theoretic Framework for Eukaryotic Gradient Sensing NeurIPS 2006 A Nonparametric Approach to Bottom-Up Visual Saliency NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 A recipe for optimizing a time-histogram NeurIPS 2006 A selective attention multi--chip system with dynamic synapses and spiking neurons NeurIPS 2006 A Theory of Retinal Population Coding NeurIPS 2006 Attentional Processing on a Spike-Based VLSI Neural Network NeurIPS 2006 Causal inference in sensorimotor integration NeurIPS 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Comparative Gene Prediction using Conditional Random Fields NeurIPS 2006 Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons NeurIPS 2006 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Efficient sparse coding algorithms NeurIPS 2006 Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Game Theoretic Algorithms for Protein-DNA binding NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Inducing Metric Violations in Human Similarity Judgements NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Large Scale Hidden Semi-Markov SVMs NeurIPS 2006 Learning Motion Style Synthesis from Perceptual Observations NeurIPS 2006 Learning Structural Equation Models for fMRI NeurIPS 2006 LinguaStream: An Integrated Environment for Computational Linguistics Experimentation EACL 2006