Neural Activity and Neurotransmission Regulate the Maturation of the Innervation Field of Cortical GABAergic Interneurons in an Age-Dependent Manner
Bibliographic record
Abstract
Neural activity guides the patterning of neuron synaptic territory in the developing nervous system. Evidence supporting this hypothesis comes from numerous studies on projection neurons in neuromuscular and visual systems. It is unknown whether the innervation field of GABAergic interneurons, which forms local dense innervations, follows similar rules. Cortical basket cells innervate hundreds of pyramidal cell somata and proximal dendrites. Thanks to this connectivity pattern, they can tightly control neural excitability and synchronization. Here we show that reducing excitation, and thus neurotransmitter release, in mouse cortical single basket cells in slice cultures decreases the number of innervated cells without changing the pattern of perisomatic innervation, both at the peak and after the proliferation phase of perisomatic synapse formation. Conversely, suppressing neurotransmitter release in single basket cells can have completely opposite effects depending on the developmental stage. Our results reveal a remarkably specific and age-dependent role of neural activity and neurotransmission levels in the establishment of the synaptic territory of cortical GABAergic cells.
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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".