Somatostatin interneurons select dorsomedial striatal representations of the initial motor learning phase
Bibliographic record
Abstract
The dorsomedial striatum (DMS) is an associative node involved in the initial formation of motor sequences and the adaptation of ongoing actions. During early associative or motor learning tasks, DMS shows a global reduction of activity, eventually refining a subset of active neurons whose number correlates with animal performance. Understanding how this representation emerges is crucial to deciphering the plasticity mechanisms underlying early phases of learning. Here, we propose that local inhibitory interneurons shape early DMS representation and influence task performance. We report that the selective manipulation of somatostatin (SOM)-positive interneurons disrupts DMS activity reorganization and modulates early-learning performance. This effect is cell specific, as manipulation of parvalbumin-positive interneurons has no effect. We also identify the high plasticity of SOM-mediated feedforward inhibition as a critical modulator of striatal projection neuron firing activity. Hence, SOM interneurons are key DMS circuit organizers and set the pace of early learning.
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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".