Statistical learning and brain plasticity
25th Symposium: June 1-3, 2006
Perceptual and Motor Learning
Chair: David Williams
Mario Svirsky, Indiana University
Learning to understand frequency-shifted, spectrally degraded speech
Jason Gold, Indiana University
Signal and noise in perceptual learning
Reza Shadmehr, Johns Hopkins University
Internal models, adaptation, and uncertainty
Alexandre Pouget, University of Rochester
Neural basis of perceptual learning: haven't we solved this issue already?
Learning: Role of Priors and Attention
Chair: Robbie Jacobs
David Knill, University of Rochester
Learning Bayesian priors for depth perception
Marvin Chun, Yale University
Attentional control of perceptual memory
Nick Chater, University College London
Simplicity, probability and perception
Josh Tenenbaum, Massachusetts Institute of Technology
Statistical learning of abstract knowledge
Constraints on Pattern Learning
Chair: Michael Weliky
Lori Holt, Carnegie Mellon University
Auditory categorization and tuning in speech perception
Daniel Margoliash, University of Chicago
Pattern perception in songbirds
Richard Aslin, University of Rochester
Statistical learning of visual patterns: Helmholtz, Bayes, and Dr. Spock
Toby Mintz, University of Southern California
Learning syntactic categories from patterns in linguistic input
Neural Mechanisms of Learning
Chair: Lizabeth Romanski
Takao Hensch, Riken Institute
Distinct adult perceptual learning and critical period plasticity in visual cortex
Anthony Zador, Cold Spring Harbor Laboratory
How many synapses must change to form a memory?
Nathaniel Daw, University College London, Gatsby
Reward & exploration in human decision making
Leo Sugrue, Stanford University
Choosing the greater of two goods: a combined behavioral, modeling, and physiological approach to value based decision making.
Maturation and Plasticity
Chair: Daphne Bavelier
Daphne Maurer, McMaster University
Missed sights: consequences for visual development
Brian Wandell, Stanford University
Maps and reading development in visual cortex
Elissa Newport, University of Rochester
Statistical language learning: computational and maturational constraints
Randy Gallistel, Rutgers University
Is mutual information the learning-relevant parameter of conditioning protocols?
Sponsored by the Office for Naval Research
Organizing Committee:
Richard Aslin
Daphne Bavelier
Alexandre Pouget