In Vivo Electrophysiological Techniques in the Study of Peptidergic Neurons and Actions
Bibliographic record
Abstract
The past decade has witnessed an ever-increasing understanding of the involvement of peptides in diverse physiological functions, including the perception of pain, regulation of the enteric and autonomic nervous systems, body temperature control, and memory retention. Over the same time period, our understanding of the role of peptides in the control of endocrine physiology has been greatly advanced using a combination of anatomical, biochemical, pharmacological, and physiological techniques. There is now considerable evidence to suggest that, in addition to their classical endocrine effects, many peptides may also act as neurotransmitters in transferring neuronal information from a pre- to an adjacent postsynaptic membrane (). Recent studies (; ; ) demonstrating that more than one peptide may be contained within a single neuron, and that single neurons may preferentially modify immunological characteristics in favor of one peptide over another in response to relevant physiological stimuli, indicate an intriguing complexity in the coordinated physiological functions of these biologically active substances.
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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 | 0.000 |
| 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 | 0.001 |
| 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".