Cajal's Interactions with Sherrington and the Croonian Lecture
Bibliographic record
Abstract
Sherrington was a major proponent of the neuron doctrine and he was inspired by Santiago Ramón y Cajal's theory of dynamic polarization of nerve cells (Ley de la polarización dinámica de la célula nerviosa). Sherrington coined the term "synapse" to name the Cajal description of interneuronal contact and he gave the term, for functional nerve endings, as "Boutons terminaux," still used today. These two giants of neuroscience met only once, but they had a life-long friendship. It was Sherrington who wrote Cajal's Obituary for the Royal Society. We review here some of the scientific exchanges between Cajal and Sherrington, with particular attention to 1894, when the two neuroscientist met in London during Cajal's visit to deliver the Croonian Lecture to the Royal Society. We shall examine not only the scientific exchanges but also their friendship, which was immediate and strong. Anat Rec, 303:1181-1188, 2020. © 2019 American Association for Anatomy.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".