Interdisciplinary

Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Human memory search as a random walk in a semantic network NeurIPS 2012 Identification of Recurrent Patterns in the Activation of Brain Networks NeurIPS 2012 Kernel Hyperalignment NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning to Discover Social Circles in Ego Networks NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NeurIPS 2012 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012 Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter NeurIPS 2012 On the connections between saliency and tracking NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rational inference of relative preferences NeurIPS 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012