Using Viral Vectors to Study the Memory Trace in Mice
Bibliographic record
Abstract
The ability to identify neurons that are involved in the acquisition and encoding of a specific memory can facilitate efforts to understand the neuronal and circuit mechanisms that underlie memory formation. In this chapter, we outline a method whereby a population of neurons in the lateral amygdala (LA) that is involved in encoding of a conditioned fear memory can be identified. Using viral-mediated gene delivery, expression levels of the transcription factor CREB (cAMP/Ca2+ responsive element binding protein) can be transiently increased in a subpopulation of neurons in the LA in vivo, thereby biasing those neurons towards becoming part of a memory trace. The preferential involvement of those neurons can be assessed using a technique, known as catFISH, in which the localized expression of mRNA for the immediate early gene arc after memory formation can be detected and compared to those neurons expressing virally delivered CREB.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".