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Laurence T. Maloney

Laurence T. Maloney

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
14049
World Ranking
2773
National Ranking
845

Research.com Recognitions

  • 2015 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Laurence T. Maloney is affiliated with New York University in the United States. Their research spans the fields of neuroscience and computer science, with a focus on cognitive neuroscience, artificial intelligence, general decision sciences, atomic and molecular physics, and optics. The primary research topics include visual perception and processing mechanisms, decision-making and behavioral economics, color science and applications, neural and behavioral psychology studies, forecasting techniques and applications, topic modeling, and advanced text analysis techniques.

Their recent published papers include the following:

  • "Two sources of uncertainty independently modulate temporal expectancy," 2021, Proceedings of the National Academy of Sciences
  • "The bounded rationality of probability distortion," 2020, Proceedings of the National Academy of Sciences
  • "Measuring and Modeling Visual Appearance," 2020, Annual Review of Vision Science
  • "Lightness constancy in reality, in virtual reality, and on flat-panel displays," 2024, Behavior Research Methods
  • "A comparison of human and GPT-4 use of probabilistic phrases in a coordination game," 2024, Scientific Reports

Frequent co-authors include:

  • Keiji Ota
  • Maria F. Dal Martello
  • Vivian Fei
  • Valerie Ma
  • Khushbu Patel

Notable frequent publication venues for their work are:

  • Journal of Vision
  • Proceedings of the National Academy of Sciences
  • Annual Review of Vision Science
  • Behavior Research Methods
  • Scientific Reports

The research contributions cover multiple topics, with publications addressing aspects of visual perception, decision-making processes, and color science. Their investigations incorporate computational models and experimental methods related to how humans perceive and interpret sensory information and make decisions under uncertainty.

Laurence T. Maloney has been recognized with several awards, including being named a Fellow of the John Simon Guggenheim Memorial Foundation in 2015 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2012.

Best Publications

  • Measurement and Modeling of Depth Cue Combination: in Defense of Weak Fusion

    Michael S. Landy;Laurence T. Maloney;Elizabeth B. Johnston;Mark Young

  • Color constancy: a method for recovering surface spectral reflectance

    Laurence T. Maloney;Brian A. Wandell

  • Evaluation of linear models of surface spectral reflectance with small numbers of parameters

    Laurence T. Maloney

  • Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition

    Hang Zhang;Laurence T. Maloney

  • Decision making, movement planning and statistical decision theory

    Julia Trommershäuser;Laurence T. Maloney;Michael S. Landy

  • Statistical decision theory and the selection of rapid, goal-directed movements

    Julia Trommershauser;Laurence T. Maloney;Michael S. Landy

  • Weighted linear cue combination with possibly correlated error

    İpek Oruç;Laurence T. Maloney;Laurence T. Maloney;Michael S. Landy;Michael S. Landy

  • A perturbation analysis of depth perception from combinations of texture and motion cues

    Mark J. Young;Michael S. Landy;Laurence T. Maloney

  • Statistical decision theory and trade-offs in the control of motor response

    Julia Trommershäuser;Laurence T. Maloney;Michael S. Landy

  • Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer

    Laurence T. Maloney;Pascal Mamassian

  • The effect of viewpoint on perceived visual roughness.

    Yun Xian Ho;Laurence T. Maloney;Michael S. Landy

  • An assessment of the semantic network in patients with alzheimer's disease

    Agnes S. Chan;Nelson Butters;Jane S. Paulsen;David P. Salmon

  • Conjoint Measurement of Gloss and Surface Texture

    Yun Xian Ho;Michael S. Landy;Michael S. Landy;Laurence T. Maloney;Laurence T. Maloney

  • Optimal Compensation for Changes in Task-Relevant Movement Variability

    Julia Trommershäuser;Sergei Gepshtein;Laurence T. Maloney;Michael S. Landy

  • Maximum likelihood difference scaling.

    Laurence T Maloney;Joong Nam Yang

  • Decision-theoretic models of visual perception and action.

    Laurence T. Maloney;Laurence T. Maloney;Hang Zhang;Hang Zhang

  • Illuminant cues in surface color perception: tests of three candidate cues.

    Joong Nam Yang;Laurence T. Maloney;Laurence T. Maloney

  • Bias and sensitivity in two-interval forced choice procedures: Tests of the difference model.

    Yaffa Yeshurun;Marisa Carrasco;Laurence T. Maloney

  • A Statistical Framework for Robust Fusion of Depth Information

    Laurence T. Maloney;Michael S. Landy

  • Surface color perception and equivalent illumination models.

    David H. Brainard;Laurence T. Maloney

Frequent Co-Authors

Michael S. Landy
Michael S. Landy New York University
Kenneth Knoblauch
Kenneth Knoblauch Claude Bernard University Lyon 1
Pascal Mamassian
Pascal Mamassian École Normale Supérieure
Brian A. Wandell
Brian A. Wandell Stanford University
Nathaniel D. Daw
Nathaniel D. Daw Princeton University
David H. Brainard
David H. Brainard University of Pennsylvania
Mauricio R. Delgado
Mauricio R. Delgado The University of Texas Southwestern Medical Center
David Poeppel
David Poeppel New York University
Alan C. Bovik
Alan C. Bovik The University of Texas at Austin
Lothar Spillmann
Lothar Spillmann University of Freiburg

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