Cognitive Science

Functional form of motion priors in human motion perception NeurIPS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 Improving Human Judgments by Decontaminating Sequential Dependencies NeurIPS 2010 Inference and communication in the game of Password NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning the context of a category NeurIPS 2010 Learning to localise sounds with spiking neural networks NeurIPS 2010 Linear readout from a neural population with partial correlation data NeurIPS 2010 Over-complete representations on recurrent neural networks can support persistent percepts NeurIPS 2010 Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models NeurIPS 2010 SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NeurIPS 2010 Spike timing-dependent plasticity as dynamic filter NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Biologically Plausible Model for Rapid Natural Scene Identification NeurIPS 2009 Abstraction and Relational learning NeurIPS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 A Neural Implementation of the Kalman Filter NeurIPS 2009 Bayesian Belief Polarization NeurIPS 2009 Bayesian estimation of orientation preference maps NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009