The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Restoring Latent Visual Working Memory Representations in Human Cortex
Open accessAbstract
Working memory (WM) enables the storage and manipulation of limited amounts of information over short periods. Prominent models posit that increasing the number of remembered items decreases the spiking activity dedicated to each item via mutual inhibition, which irreparably degrades the fidelity of each item’s representation. We tested these models by determining if degraded memory representations could be recovered following a post-cue indicating which of several items in spatial WM would be recalled. Using an fMRI-based image reconstruction technique, we identified impaired behavioral performance and degraded mnemonic representations with elevated memory load. However, in several cortical regions, degraded mnemonic representations recovered substantially following a post-cue, and this recovery tracked behavioral performance. These results challenge pure spike-based models of WM and suggest that remembered items are additionally encoded within latent or hidden neural codes that can help reinvigorate active WM representations.
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Cited by
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Self-citation
Metadata
- Authors
- Sprague, T. C., Ester, E. F., & Serences, J. T.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 91
- Issue
- 3
- Pages
- 694-707
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2482310845
- Cited by
- 259
- References
- 13
- FWCI
- 15.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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