Bibliographic record
Abstract
Interest in temporal lobe seizure pathways has a long history based initially on the human condition of temporal lobe epilepsy (TLE). This interest in TLE has extended more recently into explorations of experimental models. In this review, the network structures in the temporal lobe that are recruited in animal models during various forms of limbic seizures and status epilepticus are described. Common to all of the various models is recruitment of the parahippocampal cortices, including the piriform, perirhinal, and entorhinal areas. This cortical involvement is seen in in vitro and in vivo electrophysiological recordings throughout the network, in trans-synaptic neuroplastic changes in associated network structures manifest at the molecular level, in network energy utilization visualized by 14C2-deoxyglucose uptake, and finally, in the behavioral consequences of network lesions. The conclusions of the animal models reviewed here are very similar to those described for the human condition presented recently in the 2006 Lennox lecture by Warren Blume, and addressed 53 years ago in the quadrennial meeting of the ILAE in 1953 by Henri Gastaut.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".