Bibliographic record
Abstract
The brain shows a remarkable capacity to reorganize itself following early sensory deprivation or neonatal brain damage. Using two models of deprivation, we will show that the brain does indeed adjust to the loss of either the visual cortex (which receives most of the retinal inputs through the lateral geniculate bodies of the thalamus) or the eyes (which provide the major input to the visual cortex) through cross-modal plastic processes. Hamsters, deprived of their visual system at birth, develop novel and permanent retinal projections to the auditory thalamus. These projections form functional synapses and project to the auditory cortex. When trained on a visual discrimination task, the "rewired" hamsters perform as well as normal hamsters. Lesions of the auditory cortex produce cortical blindness. Congenitally blind human subjects, trained to discriminate the orientation of a stimulus applied to the tongue via an electrotactile device, show activation of their visual cortex, whereas trained blindfolded controls show only activation of the somatosensory cortex representing the tongue. We propose that in blind subjects, there is an unmasking of existing cortico-cortical (parieto-occipital) connections, enabling transfer of somatosensory information to visual cortex.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".