Michael N. Jones
Neuroscience · Indiana University
Publications
16
Citations
103
Est. group size
—
Recurring co-author estimate
Active years
9
Publishing since 2017
Michael N. Jones develops computational models of how people learn, store, and retrieve words in the mind (the 'mental lexicon'). His work uses memory-based and machine-learning approaches to simulate language processing, vocabulary acquisition, and how these abilities change with aging. He also builds software tools that let researchers study memory search and semantic knowledge.
Publication activity has been steady with a modest increase in the early 2020s, averaging about 2.4 papers per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Instance memory models as a general computational framework for exploring language processing: bringing the lexicon to life
Linguistics Vanguard · 2025
- Instance Memory Models as a General Computational Framework for Exploring Language Processing: Bringing the Lexicon to Life
2024
- forager: A Python package and web interface for modeling mental search
2023
- Contextual Dynamics in Lexical Encoding across the Aging Spectrum: A Simulation Study
2022
- Finding the right words: A computational model of cued lexical retrieval
2022
- Content matters: Measures of contextual diversity must consider semantic content
2021
- Catastrophic Interference in Predictive Neural Network Models of Distributional Semantics
2020
- New Perspectives on the Aging Lexicon
2019
- Quantity and diversity: Simulating early word learning environments
2017
- Proceedings of the National Academy of Sciences×1
- Journal of Memory and Language×1
- Behavior Research Methods×1
- Journal of Experimental Psychology General×1
- Linguistics Vanguard×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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