Early hearing loss induces plasticity within extra‐striate visual cortex
Bibliographic record
Abstract
Supranormal perceptual performance has been observed within the intact senses of early-deaf or blind humans and animals. For cortical areas deprived of their normal sensory input, numerous studies have shown that the lesioned modality is replaced by that of the intact sensory modalities through a process termed crossmodal plasticity. In contrast, little is known about the effects of loss of a particular sensory modality on the cortical representations of the remaining, intact sensory modalities. In the present study, an area of extrastriate visual cortex from early-deaf adult cats was examined for features of dendritic plasticity known to occur after early-deafness. Using light-microscopy of Golgi-stained pyramidal neurons from the posterolateral lateral suprasylvian (PLLS) cortex, dendritic spine density significantly increased (~19%), while spine head size was slightly but significantly decreased (~9%) following early hearing loss. Curiously, these changes were not localized to regions of the visual PLLS known to receive auditory inputs, but instead showed a broad pattern more reflective of the distribution of the area's visual features. Whereas hearing loss results in crossmodal plasticity in auditory cortices, the same peripheral lesion can also induce intramodal plasticity within representations of the intact sensory systems that may also contribute to supranormal performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".