Physiological properties of central amygdala neurons: species differences
Bibliographic record
Abstract
The connections of limbic structures are remarkably constant across species. However, different species express fear in distinct ways. Because the central amygdaloid nucleus is considered an important mediator of fear responses, we compared the physiological properties of central amygdala neurons in guinea pigs, rats and cats using whole-cell recordings in coronal slices in vitro. In guinea pigs, most central medial and lateral neurons displayed an outward rectification that delayed firing onset in response to depolarizing current pulses (hence the designation late-firing neurons). Late-firing neurons were also prevalent in the lateral sector of the cat central nucleus. In contrast, late-firing neurons were rare in the rat central nucleus and the cat central medial nucleus. There, most neurons generated Ni2+-sensitive low-threshold bursts of Na+ spikes and/or displayed pronounced inward rectification in the hyperpolarizing direction. Species differences in passive properties were also observed, but they were mainly related to the relative prevalence of late-firing cells. Indeed, late-firing cells had a significantly lower input resistance and more negative membrane potential than other types of central neurons. Thus, there are marked species differences in the physiological properties of central neurons. Because the synaptic responsiveness of neurons is constrained by their physiological properties, our findings raise the possibility that the contrasting behavioural responsiveness observed across species is partly dependent on the species-specific physiological properties of central neurons.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".