Robert A. Jacobs

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Collecting and Analyzing Eye-Tracking Data in Outdoor Environments

Karen M. Evans, Robert A. Jacobs, John A. Tarduno, 2012 .

A Modular Connectionist Architecture For Learning Piecewise Control Strategies

Michael I. Jordan, Robert A. Jacobs, 1991, 1991 American Control Conference.

Behavioral Shaping for Geometric Concepts

Robert A. Jacobs, Daniel Stefankovic, Manu Chhabra, 2007, J. Mach. Learn. Res..

Comparing perceptual learning across tasks: A review

Robert A. Jacobs, Ione Fine, R. Jacobs, 2002 .

A Competitive Modular Connectionist Architecture

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1990, NIPS.

Nonlinear integration of texture and shading cues on a slant discrimination task

Robert A. Jacobs, Volodymyr Ivanchenko, R. Jacobs, 2010 .

Visual Learning for a Mid Level Pattern Discrimination Task - eScholarship

Robert A. Jacobs, Ione Fine, R. Jacobs, 2000 .

Is there syntactic adaptation in language comprehension

Robert A. Jacobs, Ting Qian, Alex B. Fine, 2010 .

Learning piecewise control strategies in a modular neural network architecture

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1993, IEEE Trans. Syst. Man Cybern..

Hierarchies of Adaptive Experts

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1991, NIPS.

Visual Development and the Acquisition of Motion Velocity Sensitivities

Robert A. Jacobs, Melissa Dominguez, R. Jacobs, 2003, Neural Computation.

Hierarchical Mixtures of Experts and the EM Algorithm

Robert A. Jacobs, Michael I. Jordan, R. Jacobs, 1993, Neural Computation.

Learning to Control an Unstable System with Forward Modeling

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1989, NIPS.

Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks

Michael I. Jordan, Robert A. Jacobs, Andrew G. Barto, 1990, Cogn. Sci..

From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach

Robert A. Jacobs, Ilker Yildirim, Goker Erdogan, 2015, PLoS Comput. Biol..

Factorial Hidden Markov Models and the Generalized Backfitting Algorithm

Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner, 2002, Neural Computation.

A Theoretical Model of Behavioral Shaping

Robert A. Jacobs, Daniel Stefankovic, Manu Chhabra, 2007 .

Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks

Nathan D. Cahill, Robert A. Jacobs, John A. Tarduno, 2014, Electronic Imaging.

Properties of Synergies Arising from a Theory of Optimal Motor Behavior

Robert A. Jacobs, Manu Chhabra, R. Jacobs, 2006, Neural Computation.

Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations

Robert A. Jacobs, Stephen M. Kosslyn, S. Kosslyn, 1994, Cogn. Sci..

Neural Networks and Related Statistical Latent Variable Models

Robert A. Jacobs, M. A. Tanner, R. Jacobs, 2001 .

Methods For Combining Experts' Probability Assessments

Robert A. Jacobs, R. Jacobs, 1995, Neural Computation.

The Costs of Ignoring High-Order Correlations in Populations of Model Neurons

Robert A. Jacobs, Melchi M. Michel, R. Jacobs, 2006, Neural Computation.

A Nonparametric Bayesian Model of Visual Short-Term Memory

Robert A. Jacobs, Emin Orhan, R. Jacobs, 2011, CogSci.

Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks

Michael I. Jordan, Robert A. Jacobs, Andrew G. Barto, 1993, Machine Learning: From Theory to Applications.

Bias/Variance Analyses of Mixtures-of-Experts Architectures

Robert A. Jacobs, R. Jacobs, 1997, Neural Computation.

of the Annual Meeting of the Cognitive Science Society Title Are People Successful at Learning Sequential Decisions on a Perceptual Matching Task ?

Robert A. Jacobs, Reiko Yakushijin, Reiko, 2010 .

A Rational Analysis of the Acquisition of Multisensory Representations

Robert A. Jacobs, Ilker Yildirim, R. Jacobs, 2012, Cogn. Sci..

Encoding Shape and Spatial Relations: The Role of -Receptive Field Size in Coordinating Complementary Representations

Robert A. Jacobs, Stephen M. Kosslyn, S. Kosslyn, 1994 .

Supervised Learning and Divide-and-Conquer: A Statistical Approach

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1993, ICML.

Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations

Robert A. Jacobs, Emin Orhan, R. Jacobs, 2011, NIPS.

Does Visual Development Aid Visual Learning

Robert A. Jacobs, Melissa Dominguez, R. Jacobs, 2004 .

UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity – Precision Tradeoffs Permalink

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2011 .

Adaptive Mixtures of Local Experts

Geoffrey E. Hinton, Michael I. Jordan, Robert A. Jacobs, 1991, Neural Computation.

Increased rates of convergence through learning rate adaptation

Robert A. Jacobs, R. Jacobs, 1987, Neural Networks.

Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth

Robert A. Jacobs, Ione Fine, R. Jacobs, 1999, Neural Computation.

A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures

Robert A. Jacobs, Martin A. Tanner, Fengchun Peng, 1997, Neural Networks.

On Computational Evidence for Different Types of Spatial Relations Encoding: Reply to Cook et al. (1995)

Robert A. Jacobs, Stephen M. Kosslyn, Christopher F. Chabris, 1995 .

Visual Development and the Acquisition of Binocular Disparity Sensitivities

Robert A. Jacobs, Melissa Dominguez, R. Jacobs, 2001, ICML.

Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task?

Robert A. Jacobs, Reiko Yakushijin, R. Jacobs, 2011, Cogn. Sci..

An ideal observer analysis of visual short-term memory: Evidence for flexible resource allocation

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2011 .

Transfer of object shape knowledge across visual and haptic modalities

Robert A. Jacobs, Ilker Yildirim, Goker Erdogan, 2014, CogSci.

Visual Learning in Multisensory Environments

Robert A. Jacobs, Ladan Shams, R. Jacobs, 2010, Top. Cogn. Sci..

A Probabilistic Clustering Theory of the Organization of Visual Short-Term Memory

Robert A. Jacobs, A. Emin Orhan, 2013 .

A Developmental Approach Aids Motor Learning

Robert A. Jacobs, Volodymyr Ivanchenko, R. Jacobs, 2003, Neural Computation.

Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex

Robert A. Jacobs, Bradford Z. Mahon, Frank Garcea, 2016, Journal of Cognitive Neuroscience.

Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities

Robert A. Jacobs, Melissa Dominguez, R. Jacobs, 2003, Neural Computation.

Modular and hierarchical learning systems

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1998 .

Learning to Combine Motor Primitives Via Greedy Additive Regression

Robert A. Jacobs, Manu Chhabra, R. Jacobs, 2008, J. Mach. Learn. Res..

Integrated Approaches to Perceptual Learning

Robert A. Jacobs, R. Jacobs, 2010, Top. Cogn. Sci..

Can machine learning account for human visual object shape similarity judgments?

Robert A. Jacobs, Joseph Scott German, R. Jacobs, 2020, Vision Research.

A 3D shape inference model matches human visual object similarity judgments better than deep convolutional neural networks

Robert A. Jacobs, Goker Erdogan, R. Jacobs, 2016, CogSci.

Hierarchical Mixtures of Experts and the EM Algorithm

Michael I. Jordan, Robert A. Jacobs, R. Jacobs, 1994 .

Optimality in motor control

Robert A. Jacobs, Manu Chhabra, R. Jacobs, 2008 .

Variance predicts visual-haptic adaptation in shape perception

Robert A. Jacobs, Marc O. Ernst, Banks, 2010 .

A Concept Learning Approach to Multisensory Object Perception pdf

Robert A. Jacobs, Ifeoma Nwogu, Ilker Yildirim, 2014, 1409.6745.

Robert A. Jacobs, Andrew J. Anderson, Meng-Huan Wu, 2021, Neurobiology of Language.

The Costs of Ignoring High-Order Correlations in Populations of Model Neurons

Robert A. Jacobs, Melchi M. Michel, R. Jacobs, 2006, Neural Computation.

Nature, nurture, and the development of functional specializations: A computational approach

Robert A. Jacobs, R. Jacobs, 1997 .

Are Performance Limitations in Visual Short-Term Memory Tasks Due to Capacity Limitations or Model Mismatch?

Robert A. Jacobs, A. Emin Orhan, R. Jacobs, 2014, 1407.0644.

Four Problems Solved by the Probabilistic Language of Thought

Robert A. Jacobs, Steven Piantadosi, R. Jacobs, 2016 .

Optimality Principles Apply to a Broad Range of Information Integration Problems in Perception and Action

Robert A. Jacobs, David C. Knill, Anne-Marie Brouwer, 2012 .

Depth-dependent blur adaptation

Robert A. Jacobs, Richard N. Aslin, Peter W. Battaglia, 2004, Vision Research.

Learning Multisensory Representations

Robert A. Jacobs, 2016 .

The Adaptive Nature of Visual Working Memory

Robert A. Jacobs, David C. Knill, Chris R. Sims, 2014 .

Motor timing learned without motor training

Robert A. Jacobs, Richard N. Aslin, Daniel V. Meegan, 2000, Nature Neuroscience.