The DOI matches its Crossref record.
Knowing a Word Affects the Fundamental Perception of The Sounds Within it
Abstract
Understanding spoken language is an exceptional computational achievement of the human cognitive apparatus. Theories of how humans recognize spoken words fall into two categories: Some theories assume a fully bottom-up flow of information, in which successively more abstract representations are computed. Other theories, in contrast, assert that activation of a more abstract representation (e.g., a word) can affect the activation of smaller units (e.g., phonemes or syllables). The two experimental conditions reported here demonstrate the top-down influence of word representations on the activation of smaller perceptual units. The results show that perceptual processes are not strictly bottom-up: Computations at logically lower levels of processing are affected by computations at logically more abstract levels. These results constrain and inform theories of the architecture of human perceptual processing of speech.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
How to Construct a Minimal Theory of Mind
BUTTERFILL, S. A., & APPERLY, I. A. (2013) · Mind & Language · doi:10.1111/mila.12036 · Cited by 623
Davis, M. H., Johnsrude, I. S., Hervais-Adelman, A., Taylor, K., & McGettigan, C. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.2.222 · Cited by 531
Predicting while comprehending language: A theory and review.
Pickering, M. J., & Gambi, C. (2018) · Psychological Bulletin · doi:10.1037/bul0000158 · Cited by 518
The Border Between Seeing and Thinking
Block, N. (2023) · doi:10.1093/oso/9780197622223.001.0001 · Cited by 367
Perceptual learning of Cantonese lexical tones by tone and non-tone language speakers
Francis, A. L., Ciocca, V., Ma, L., & Fenn, K. (2008) · Journal of Phonetics · doi:10.1016/j.wocn.2007.06.005 · Cited by 256
Metadata
- Authors
- Samuel, A. G.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2001-07
- Volume
- 12
- Issue
- 4
- Pages
- 348-351
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2061081948
- Cited by
- 159
- References
- 0
- FWCI
- 7.34
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Knowing a Word Affects the Fundamental Perception of The Sounds Within it. https://app.cochat.ai/papers/10.1111/1467-9280.00364
- The paper
- Samuel, A. G. (2001). Knowing a Word Affects the Fundamental Perception of The Sounds Within it. Psychological Science. https://doi.org/10.1111/1467-9280.00364
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.