Jacobs, Robert A. - Departments of Brain and Cognitive Sciences & Computer Science, University of Rochester

• LETTER Communicated by R. Caruana A Developmental Approach Aids Motor Learning
• Sensory Cue Combination Robert Jacobs
• Brief Communications Near-Optimal Human Adaptive Control across Different
• Behavioral/Systems/Cognitive Adaptive Allocation of Vision under Competing Task
• LETTER Communicated by Richard Zemel Developmental Constraints Aid the Acquisition of Binocular
• Backpropagation Algorithm Robert Jacobs
• Factor Analysis Robert Jacobs
• Visual learning by cue-dependent and cue-invariant mechanisms Volodymyr Ivanchenko, Robert A. Jacobs *
• TRENDS in Cognitive Sciences Vol.6 No.8 August 2002 345Review http://tics.trends.com 1364-6613/02/$ see front matter 2002 Elsevier Science Ltd. All rights reserved. PII: S1364-6613(02)01948-4
• LETTER Communicated by Andrea D'Avella Properties of Synergies Arising from a Theory of Optimal
• Bayesian Statistics: Beta-Binomial Model Robert Jacobs
• Parameter learning but not structure learning: A Bayesian network model of constraints
• Hidden Markov Models Robert Jacobs
• Conditional Independence, Dependency-Separation, and Bayesian Networks Robert Jacobs
• Bayesian Statistics: Normal-Normal Model Robert Jacobs
• Visual learning with reliable and unreliable features Center for Visual Science, Department of Brain and
• LETTER Communicated by Richard Zemel The Costs of Ignoring High-Order Correlations in Populations
• Journal of Machine Learning Research 9 (2008) 1535-1558 Submitted 12/07; Revised 6/08; Published 7/08 Learning to Combine Motor Primitives Via Greedy Additive
• LETTER Communicated by Steven Nowlan Visual Development and the Acquisition of Motion Velocity
• Optimal Linear Cue Combination Robert Jacobs
• Journal of Machine Learning Research 8 (2007) 1835-1865 Submitted 10/06; Revised 4/07; Published 8/07 Behavioral Shaping for Geometric Concepts
• ROBERT A. JACOBS Department of Brain & Cognitive Sciences
• Bayesian learning theory applied to human cognition
• Learning optimal integration of arbitrary features in a perceptual discrimination task
• Experience-dependent visual cue recalibration based on discrepancies between visual and haptic percepts
• LETTER Communicated by Zoubin Ghahramani Factorial Hidden Markov Models and the Generalized
• Vision Research 40 (2000) 32093230 Perceptual learning for a pattern discrimination task
• LETTER Communicated by Steven Nowlan Modeling the Combination of Motion, Stereo, and Vergence
• Bayesian Decision Theory Robert Jacobs
• Ideal Observers and Ideal Actors
• Statistical Estimation Robert Jacobs
• Bayesian Estimation Robert Jacobs
• Maximum Likelihood Estimation Robert Jacobs
• Mixture Models Robert Jacobs
• Mixtures-of-Experts Robert Jacobs
• Principal Components Analysis Robert Jacobs
• Principal Components Analysis and Unsupervised Hebbian Learning Robert Jacobs
• Sensory Integration and Kalman Filtering Robert Jacobs
• Adaptive precision pooling of model neuron activities predicts the efficiency of human visual learning
• Journal of Vision (2002) 2, 190-203 http://journalofvision.org/2/2/5/ 190 Comparing perceptual learning across tasks: A review
• K-Means Algorithm for Clustering Robert Jacobs
• Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task?