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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".