Low-Threshold-Activated Ca Channels: From Molecules to Functions: Over 25 Years of Progress
Bibliographic record
Abstract
Once the tools for controlling calcium gradients became available to electrophysiologists, they began the quest for understanding the role of Ca2+ in the control of neuronal activity. In the early 1970s Paul Feltz and I spent a rich period in K. Krnjevic's laboratory in Montreal, and I was already involved in a research, which showed that an increase in intracellular Ca2+ concentration can lead to hyperpolarization of motoneurones. At about the same time, a potassium conductance activated by intracellular calcium injection was identified in mammals and snails. Since then, most of my work has dealt with the study of Ca2+ entry in neurons. Here I review the progress that led fi rst to the biophysical characterization and, later, to the molecular identification of T-type calcium channels. With the advent of new optical methods, in particular two-photon microscopy, we may be on the brink of a step forward in our understanding of how T channels play a role in the integrative processes that take place in a large cortical neuron such as the Purkinje cell.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".