Mutations in the guanylate cyclase<i>gcy‐28</i>neuronally dissociate naïve attraction and memory retrieval
Bibliographic record
Abstract
Abstract The molecules and mechanisms that are involved in the acquisition, storage, and retrieval of memories in many organisms are unclear. To investigate these processes, we use the nematode wormCaenorhabditis elegans, which is attracted naïvely to the odorant benzaldehyde but learns to avoid it after paired exposure with starvation. Mutations in the receptor‐like guanylate cyclaseGCY‐28 have previously been thought to result in a behavioral switch in the primary chemosensory neuronAWCON, from an attractive state to an aversive (already‐learned) state. Here, we offer a different interpretation and show thatGCY‐28 functions in distinct neurons to modulate two independent processes: naïve attraction toAWCON‐sensed odors in theAWCONneuron, and associative learning of benzaldehyde and starvation in theAIAinterneurons. Consequently, mutants that lackgcy‐28do not approachAWCON‐sensed odors and cannot associate benzaldehyde with starvation. We further show that this learning deficit lies in memory retrieval, not in its acquisition or storage, and thatGCY‐28 is required inAIAfor sensory integration only when bothAWCneurons (ONandOFF) are activated by chemical stimuli. Our results reveal a novel role ofGCY‐28 in the retrieval of associative memories and may have wide implications for the neural machineries of learning and memory in general.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".