Corticothalamic Feedback for Sound-Specific Plasticity of Auditory Thalamic Neurons Elicited by Tones Paired with Basal Forebrain Stimulation
Bibliographic record
Abstract
Recent studies have revealed that the auditory cortex (AC) plays a crucial role in the plastic changes in the physiological properties of subcortical auditory neurons through corticofugal projections. In this study with the C57 mouse, we investigated the receptive field plasticity of the ventral division of the medial geniculate body (MGBv) of the thalamus and the impact of the primary AC using the electrical stimulation of the cholinergic basal forebrain, the nucleus basalies, paired with a tone (tone-ES(NB)). We found that tone-ES(NB) evoked significant changes in MGBv receptive fields; the best frequencies (BFs) of MGBv neurons shifted toward the frequency of the paired tone. The BF shifts of MGBv neurons were maximal when the difference between the BFs of MGBv neurons and the frequency of the paired tone was 7 kHz. In addition to the BF shifts, the minimum threshold was decreased and the spike number was increased in response to the paired tone. Importantly, these plastic changes of MGBv neurons were completely abolished when the AC was inactivated with a cortical application of muscimol, a gamma-aminobutyric acid receptor subtype A receptor agonist. Our data indicate that the corticofugal system is an essential neural substrate for the sound-specific plasticity in the auditory thalamus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".