Cognitive Modeling

Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability 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 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NeurIPS 2011 Understanding the Intrinsic Memorability of Images NeurIPS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 Why The Brain Separates Face Recognition From Object Recognition NeurIPS 2011 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 A rational decision making framework for inhibitory control NeurIPS 2010 Attractor Dynamics with Synaptic Depression NeurIPS 2010 A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NeurIPS 2010 Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike NeurIPS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Humans Learn Using Manifolds, Reluctantly 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 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