Excitatory Role of the Hyperpolarization-Activated Inward Current in Phasic and Tonic Firing of Rat Supraoptic Neurons
Bibliographic record
Abstract
The properties and functional roles of the hyperpolarization-activated inward current (I(H)) in magnocellular neurosecretory cells (MNCs) were investigated during sharp microelectrode recordings from supraoptic neurons in superfused explants of rat hypothalamus. Under current clamp, voltage responses to hyperpolarizing current pulses featured depolarizing sags that were abolished by the I(H) blocker ZD 7288. Under voltage clamp, subtraction of current responses to hyperpolarizing steps recorded in the absence and presence of ZD 7288 was used to investigate the properties of I(H). Current-voltage analysis revealed that steady-state I(H) amplitude increases with hyperpolarization, with half-maximal activation of the underlying conductance occurring at -78 mV. The time course of activation of I(H) during hyperpolarizing steps was monoexponential with time constants (100-800 msec) decreasing with hyperpolarization. The effects of ZD 7288 on I(H) were slow (tau, approximately 15 min), irreversible, and half-maximal at 1.8 micrometer. When tested on continuously active MNCs, application of 30-60 micrometer ZD 7288 caused a significant reduction in firing rate. In phasically active MNCs, the drug decreased burst duration and intraburst firing frequency and caused an increase in the duration of interburst intervals. These effects were accompanied with a small hyperpolarization of the membrane potential. In contrast, ZD 7288 had no effect on spike duration, on the amplitude of calcium-dependent afterpotentials, or on the frequencies and amplitudes of spontaneous synaptic potentials. These results confirm the presence of I(H) in MNCs of the rat supraoptic nucleus and suggest that the presence of this conductance provides an excitatory drive that contributes to phasic and tonic firing.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".