James S Magnuson
Biographic Data
| ID | 1464823 |
|---|---|
| NAME | James S Magnuson |
| GIVEN NAMES | James S |
| FAMILY NAME | Magnuson |
| SIGNATURE | MAGNUSON J S |
| AFFILIATIONS | Ikerbasque |
| ORCID | 0000-0003-0158-2367 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Simple Recurrent Networks are Interactive
Contra assertions, feedback improves word recognition: How feedback and lateral inhibition sharpen signals over noise
Using TMS to evaluate a causal role for right posterior temporal cortex in talker-specific phonetic processing
Theories suggest that speech perception is informed by listeners' beliefs of what phonetic variation is typical of a talker. A previous fMRI study found right middle temporal gyrus (RMTG) sensitivity to whether a phonetic variant was typical of a talker, consistent with literature suggesting that the right hemisphere may play a key role in conditioning phonetic identity on talker information. The current work used transcranial magnetic stimulatio…
Spoken Word Recognition: A Focus on Plasticity
Psycholinguists define spoken word recognition (SWR) as, roughly, the processes intervening between speech perception and sentence processing, whereby a sequence of speech elements is mapped to a phonological wordform. After reviewing points of consensus and contention in SWR, we turn to the focus of this review: considering the limitations of theoretical views that implicitly assume an idealized (neurotypical, monolingual adult) and static perce…
Does signal reduction imply predictive coding in models of spoken word recognition
Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we …
Fixations in the visual world paradigm: Where, When, Why
Direct and Real: Carol A. Fowler's Theory and Approach to Science
This article includes both an introduction to the special issue and discussion of our connections with Carol Fowler. We briefly review the motivation for the special issue and reflect upon the ways that she has impacted us and science more generally
Computational Modeling of Statistical Learning: Effects of Transitional Probability Versus Frequency and Links to Word Learning
Statistical learning mechanisms play an important role in theories of language acquisition and processing. Recurrent neural network models have provided important insights into how these mechanisms might operate. We examined whether such networks capture two key findings in human statistical learning. In Simulation 1, a simple recurrent network (SRN) performed much like human learners: it was sensitive to both transitional probability and frequen…
Statistical and computational models of the visual world paradigm: Growth curves and individual differences
Eye Movements and Lexical Access in Spoken-Language Comprehension: Evaluating a Linking Hypothesis between Fixations and Linguistic Processing
Tracking the Time Course of Spoken Word Recognition Using Eye Movements: Evidence for Continuous Mapping Models
Tracking the Time Course of Spoken Word Recognition Using Eye Movements: Evidence for Continuous Mapping Models
Eye Movements and Lexical Access in Spoken-Language Comprehension: Evaluating a Linking Hypothesis between Fixations and Linguistic Processing
Statistical and computational models of the visual world paradigm: Growth curves and individual differences
Computational Modeling of Statistical Learning: Effects of Transitional Probability Versus Frequency and Links to Word Learning
Statistical learning mechanisms play an important role in theories of language acquisition and processing. Recurrent neural network models have provided important insights into how these mechanisms might operate. We examined whether such networks capture two key findings in human statistical learning. In Simulation 1, a simple recurrent network (SRN) performed much like human learners: it was sensitive to both transitional probability and frequen…
Direct and Real: Carol A. Fowler's Theory and Approach to Science
This article includes both an introduction to the special issue and discussion of our connections with Carol Fowler. We briefly review the motivation for the special issue and reflect upon the ways that she has impacted us and science more generally
Fixations in the visual world paradigm: Where, When, Why
Does signal reduction imply predictive coding in models of spoken word recognition
Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we …
Using TMS to evaluate a causal role for right posterior temporal cortex in talker-specific phonetic processing
Theories suggest that speech perception is informed by listeners' beliefs of what phonetic variation is typical of a talker. A previous fMRI study found right middle temporal gyrus (RMTG) sensitivity to whether a phonetic variant was typical of a talker, consistent with literature suggesting that the right hemisphere may play a key role in conditioning phonetic identity on talker information. The current work used transcranial magnetic stimulatio…
Spoken Word Recognition: A Focus on Plasticity
Psycholinguists define spoken word recognition (SWR) as, roughly, the processes intervening between speech perception and sentence processing, whereby a sequence of speech elements is mapped to a phonological wordform. After reviewing points of consensus and contention in SWR, we turn to the focus of this review: considering the limitations of theoretical views that implicitly assume an idealized (neurotypical, monolingual adult) and static perce…
Contra assertions, feedback improves word recognition: How feedback and lateral inhibition sharpen signals over noise
Simple Recurrent Networks are Interactive
Psychology (11 works) · Cognitive psychology (9 works) · Computer Science (9 works) · Neurobiology of Language and Bilingualism (8 works) · Linguistics (6 works) · Cognition (5 works) · Neuroscience (5 works) · Perception (5 works) · Natural language processing (4 works) · Reading and Literacy Development (4 works)