Bibliographic record
Abstract
This chapter describes the structure and connections of the rhinal cortices and medial prefrontal cortex. We focus on this particular subset of cortical areas because they play a key role in the formation of declarative memories. Indeed, the rhinal cortices are the gateway to and from the hippocampal formation. However, the available evidence suggests that they are not simple relays but instead filter or select inputs. Although the computational rules underlying this function still elude us, it is clear that this process is altered in emotionally arousing conditions. Indeed, memory formation for emotional charged material is generally improved and much evidence suggest that inputs from the amygdala and medial prefrontal cortex mediate this facilitation of memory by emotions. This chapter summarizes data about the structure, connectivity, and physiological properties of these cortical regions. How they interact in memory formation will be considered in Chapter 9. Cytoarchitectural organization and cell types Rhinal cortices The rhinal cortices occupy a strategic location in the temporal lobe because they relay most sensory inputs from the neocortex to the hippocampus. Moreover, the rhinal cortices represent the main return path for hippocampal efferents to the neocortex (reviewed in Witter et al. , 2000). Although their precise contribution, compared with that of the hippocampus, remains debated (Brown & Aggleton, 2001), it is clear that the rhinal cortices are not simple relay stations. Indeed, rhinal neurons exhibit patterns of memory-related activity distinct from those seen in the hippocampus (reviewed in Suzuki, 1996; Eichenbaum, 2002).
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".