James Magnuson

James Magnuson

University of Connecticut

H-index: 41

North America-United States

About James Magnuson

James Magnuson, With an exceptional h-index of 41 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of Computational modeling, Language understanding, Psycholinguistics, Cognitive Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Contra assertions, feedback improves word recognition: How feedback and lateral inhibition sharpen signals over noise

Resolving competing predictions in speech: How qualitatively different cues and cue reliability contribute to phoneme identification

Spoken Word Recognition: A Focus on Plasticity

Recurrent neural networks as neuro-computational models of human speech recognition

Lexical feedback in the Time-Invariant String Kernel (TISK) model of spoken word recognition

Can Network Models Predict Semantic and Orthographic Activation in Visual Word Recognition (in Spanish)?

Investigating the extent to which distributional semantic models capture a broad range of semantic relations

Using TMS to evaluate a causal role for right posterior temporal cortex in talker-specific phonetic processing

James Magnuson Information

University

Position

Psych. Sciences, U. Connecticut; BCBL (Basque Center on Cognition, Brain & Language)

Citations(all)

9148

Citations(since 2020)

3183

Cited By

7313

hIndex(all)

41

hIndex(since 2020)

30

i10Index(all)

71

i10Index(since 2020)

57

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

James Magnuson Skills & Research Interests

Computational modeling

Language understanding

Psycholinguistics

Cognitive Neuroscience

Top articles of James Magnuson

Title

Journal

Author(s)

Publication Date

Contra assertions, feedback improves word recognition: How feedback and lateral inhibition sharpen signals over noise

Cognition

James S Magnuson

Anne Marie Crinnion

Sahil Luthra

Phoebe Gaston

Samantha Grubb

2024/1/1

Resolving competing predictions in speech: How qualitatively different cues and cue reliability contribute to phoneme identification

Attention, Perception, & Psychophysics

Anne Marie Crinnion

Sahil Luthra

Phoebe Gaston

James S Magnuson

2024/2/22

Spoken Word Recognition: A Focus on Plasticity

Efthymia C Kapnoula

Mina Jevtović

James S Magnuson

2024/1/16

Recurrent neural networks as neuro-computational models of human speech recognition

bioRxiv

Christian Brodbeck

Thomas Hannagan

James S Magnuson

2024

Lexical feedback in the Time-Invariant String Kernel (TISK) model of spoken word recognition

James Magnuson

Heejo You

Thomas Hannagan

2023/12/22

Can Network Models Predict Semantic and Orthographic Activation in Visual Word Recognition (in Spanish)?

Javier Aula-Blasco

James Magnuson

2023/6/23

Investigating the extent to which distributional semantic models capture a broad range of semantic relations

Cognitive Science

Kevin S Brown

Eiling Yee

Gitte Joergensen

Melissa Troyer

Elliot Saltzman

...

2023/5

Using TMS to evaluate a causal role for right posterior temporal cortex in talker-specific phonetic processing

Brain and Language

Sahil Luthra

Hannah Mechtenberg

Cristal Giorio

Rachel M Theodore

James S Magnuson

...

2023/5/1

Right posterior temporal cortex supports integration of phonetic and talker information

Neurobiology of Language

Sahil Luthra

James S Magnuson

Emily B Myers

2023/3/8

LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon

ZhaoBin Li

Anne Marie Crinnion

James S Magnuson

2022/6/1

Using an artificial lexicon and eye movements to examine the development and microstructure of lexical dynamics

James S Magnuson

Delphine Dahan

Paul D Allopenna

Michael K Tanenhaus

Richard N Aslin

2022/5/16

Learning to form visual chunks: On the structure of visuo-spatial working memory

James S Magnuson

David G Bensinger

Mary Hayhoe

Dana Ballard

2022/5/16

How Feedback in Interactive Activation Improves Perception

Proceedings of the Annual Meeting of the Cognitive Science Society

James Magnuson

Samantha Grubb

Anne Marie Crinnion

Sahil Luthra

Phoebe Gaston

2022

Distributed semantics in a neural network model of human speech recognition

Proceedings of the Annual Meeting of the Cognitive Science Society

Kevin Brown

Nicholas R Monto

Jay Rueckl

James Magnuson

2021

Does signal reduction imply predictive coding in models of spoken word recognition?

Psychonomic bulletin & review

Sahil Luthra

Monica YC Li

Heejo You

Christian Brodbeck

James S Magnuson

2021/8

Discovering computational principles in models and brains

Proceedings of the Annual Meeting of the Cognitive Science Society

Christian Brodbeck

Sahil Luthra

Phoebe Gaston

James Magnuson

2021

Talker familiarity and the accommodation of talker variability

Attention, Perception, & Psychophysics

James S Magnuson

Howard C Nusbaum

Reiko Akahane-Yamada

David Saltzman

2021/5

Lexically-mediated compensation for coarticulation in older adults

Cognitive Science

James M McQueen

Alexandra Jesse

Holger Mitterer

2023/9

Robust lexically mediated compensation for coarticulation: Christmash time is here again

Cognitive Science

Sahil Luthra

Giovanni Peraza‐Santiago

Keia'na Beeson

David Saltzman

Anne Marie Crinnion

...

2021/4

Boosting lexical support does not enhance lexically guided perceptual learning.

Journal of Experimental Psychology: Learning, Memory, and Cognition

Sahil Luthra

James S Magnuson

Emily B Myers

2021/4

See List of Professors in James Magnuson University(University of Connecticut)

Co-Authors

H-index: 92
Richard Aslin

Richard Aslin

Yale University

H-index: 60
Howard Nusbaum

Howard Nusbaum

University of Chicago

H-index: 36
James Dixon

James Dixon

University of Connecticut

H-index: 28
Julie A. Van Dyke

Julie A. Van Dyke

Yale University

H-index: 11
Anuenue Kukona

Anuenue Kukona

De Montfort University

H-index: 11
Paul Allopenna

Paul Allopenna

University of Connecticut

academic-engine