The mid‐ventrolateral prefrontal cortex: insights into its role in memory retrieval
Bibliographic record
Abstract
Although it is widely known that the prefrontal cortex plays a role in memory, the specific contribution of particular prefrontal regions in mnemonic functions remains controversial. The present investigation examined whether the mid-ventrolateral prefrontal cortex is selectively involved in active memory retrieval in situations in which mnemonic traces are embedded in ambiguous relations and automatic recollection cannot lead to successful retrieval. Thirteen subjects participated in this event-related functional magnetic resonance imaging experiment. Throughout the scanning session, trials belonging to an experimental and a control condition were administered in a pseudorandom fashion. During the encoding phase of any particular trial, subjects were presented with a stimulus-complex that was a combination of a face and a spatial location on the screen. In the experimental active retrieval condition, a question cue following the encoding phase instructed the subjects to retrieve selectively one of the two aspects of the encoded stimulus-complex, i.e. the face or the location. In the control condition, the question cue that followed the encoding phase instructed the subjects simply to recall the initially presented stimulus-complex, so as to be able to make a decision during the test phase based on simple stimulus familiarity. The comparison of the signal obtained during the retrieval phase of these two conditions yielded an increase in activity selective to the right mid-ventrolateral prefrontal region. These results therefore establish a specific link between the mid-ventrolateral prefrontal cortex and active retrieval mechanisms.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".