Neocortical catastrophic interference in healthy and amnesic adults: A paradoxical matter of time
Bibliographic record
Abstract
The human cortex can accommodate overlapping semantic information, such as synonyms, homonyms, or overlapping concepts. However, neuronal models of cortical networks predict Catastrophic Interference in conditions of overlapping information, obliterating old associations and sometimes preventing formation of new ones. It has been proposed that Catastrophic Interference in declarative memory is never observed in biological systems because of hippocampal pattern separation of competing associations. Here, we tested neocortical Catastrophic Interference during acquisition of overlapping associations through Fast Mapping; an incidental, exclusion based learning mechanism, that can support hippocampal-independent learning. Young adults acquired picture-label associations, either through explicit encoding or through Fast Mapping and were tested after 24 h. Overlapping/competing associations were presented either minutes (Early), or 22 h (Delayed) after learning. Catastrophic Interference was evident only following Fast Mapping, and only in the Delayed competition. In a follow-up experiment, Medial Temporal Lobe (MTL) amnesic patients demonstrated retroactive Catastrophic Interference after the Early competition, despite normal memory for noninterfered Fast Mapping associations. Thus, following Fast Mapping, a biological system demonstrated susceptibility to Catastrophic Interference, as predicted by the neuronal-model. Early retroactive Interference, however, can be prevented by MTL integrity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".