NIPS Proceedingsβ

Peter Dayan

47 Papers

  • Bayes-Adaptive Simulation-based Search with Value Function Approximation (2014)
  • Correlations strike back (again): the case of associative memory retrieval (2013)
  • Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search (2012)
  • Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories (2011)
  • Know Thy Neighbour: A Normative Theory of Synaptic Depression (2009)
  • Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing (2009)
  • Bayesian Model of Behaviour in Economic Games (2008)
  • Load and Attentional Bayes (2008)
  • Psychiatry: Insights into depression through normative decision-making models (2008)
  • Hippocampal Contributions to Control: The Third Way (2007)
  • Uncertainty, phase and oscillatory hippocampal recall (2006)
  • A Bayesian Framework for Tilt Perception and Confidence (2005)
  • How fast to work: Response vigor, motivation and tonic dopamine (2005)
  • Norepinephrine and Neural Interrupts (2005)
  • Assignment of Multiplicative Mixtures in Natural Images (2004)
  • Inference, Attention, and Decision in a Bayesian Neural Architecture (2004)
  • Probabilistic Computation in Spiking Populations (2004)
  • Rate- and Phase-coded Autoassociative Memory (2004)
  • Dopamine Modulation in a Basal Ganglio-Cortical Network of Working Memory (2003)
  • Plasticity Kernels and Temporal Statistics (2003)
  • Adaptation and Unsupervised Learning (2002)
  • Expected and Unexpected Uncertainty: ACh and NE in the Neocortex (2002)
  • Replay, Repair and Consolidation (2002)
  • ACh, Uncertainty, and Cortical Inference (2001)
  • Motivated Reinforcement Learning (2001)
  • Competition and Arbors in Ocular Dominance (2000)
  • Dopamine Bonuses (2000)
  • Explaining Away in Weight Space (2000)
  • Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex (2000)
  • Position Variance, Recurrence and Perceptual Learning (2000)
  • Acquisition in Autoshaping (1999)
  • Computational Differences between Asymmetrical and Symmetrical Networks (1998)
  • Distributional Population Codes and Multiple Motion Models (1998)
  • Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning (1997)
  • Statistical Models of Conditioning (1997)
  • A Hierarchical Model of Visual Rivalry (1996)
  • Analytical Mean Squared Error Curves in Temporal Difference Learning (1996)
  • Neural Models for Part-Whole Hierarchies (1996)
  • Probabilistic Interpretation of Population Codes (1996)
  • Does the Wake-sleep Algorithm Produce Good Density Estimators? (1995)
  • Improving Policies without Measuring Merits (1995)
  • Recognizing Handwritten Digits Using Mixtures of Linear Models (1994)
  • Foraging in an Uncertain Environment Using Predictive Hebbian Learning (1993)
  • Temporal Difference Learning of Position Evaluation in the Game of Go (1993)
  • Feudal Reinforcement Learning (1992)
  • Perturbing Hebbian Rules (1991)
  • Navigating through Temporal Difference (1990)