Multimode neural population coding of diverse innate fear response by mitral and tufted cells
Bibliographic record
Abstract
Neurons that encode odor information are fundamental to innate fear processes, yet how mitral/tufted (M/T) cells encode innate fear remains unknown. Here, we identify three different response patterns of M/T cells in the dorsal olfactory bulb (dOB) during active avoidance elicited by non-dehydrogenated 2,4,5-trimethylthiazole (nTMT) through in vivo calcium imaging and multielectrode recordings in mice, including enhanced responses, suppressed responses, and no response. Remarkably, suppressed response M/T cells encode active avoidance, whereas suppressed and enhanced response M/T cells jointly encode passive freezing. Our results show that cyclin-dependent kinase 5 (Cdk5) deficiency reduces the mean firing rate (MFR) of M/T cells and alters the intrinsic encoding patterns of M/T cells in nTMT-induced abnormal avoidance and freezing behaviors, and these changes can be rescued by activating dOB M/T cells. These results reveal multimodal neural population coding characteristics of innate fear in the dOB.
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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".