Organization of the gymnotiform fish pallium in relation to learning and memory: I. Cytoarchitectonics and cellular morphology
Bibliographic record
Abstract
The present article examines the anatomical organization of the dorsal telencephalon of two gymnotiform fish: Gymnotus sp. and Apteronotus leptorhynchus. These electric fish use elaborate electrical displays for agonistic and sexual communication. Our study emphasizes mainly pallial divisions: dorsolateral (DL), dorsodorsal (DD), and dorsocentral (DC), previously implicated in social learning dependent on electric signals. We found that the pallial cytoarchitectonics of gymnotiformes are similar to those reported for the commonly studied goldfish, except that DC is larger and better differentiated in gymnotiformes. We identified a new telencephalic region (Dx), located between DL and DC, and describe the morphological and some biochemical properties of its neurons. Most neurons in DL, DD, and DC are glutamatergic with spiny dendrites. However, the size of these cells as well as the orientation and extent of their dendrites vary systematically across these regions. In addition, both DD and DL contained numerous small GABAergic interneurons as well as well-developed GABAergic plexuses. One important and novel observation is that the dendrites of the spiny neurons within all three regions remain confined to their respective territories. We confirm that DL and DC express very high levels of NMDA receptor subunits as well as CaMKIIα, a key downstream effector of this receptor. In contrast, this enzyme is nearly absent in DD, while NMDA receptors are robustly expressed, suggesting different rules for synaptic plasticity across these regions. Remarkably, GABAergic pallial neurons do not express CaMKIIα, in agreement with previously reported results in the cortex of rats.
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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".