Auditory Neurons in the Dorsal Cortex of the Inferior Colliculus: Responses to Contralateral Tone Bursts and Modulations by the Auditory Cortex
Bibliographic record
Abstract
The inferior colliculus plays a key role in auditory processing. In the current study I used the albino rat, Rattus norvegicus, as an animal model to investigate auditory responses in single neurons in the dorsomedial subdivision of the inferior colliculus (ICd). My results reveal that ICd neurons exhibit various temporal firing patterns and long and variable first spike latencies. These neurons displayed a variety of frequency-tuning curves. Both monotonic and non-monotonic rate-level functions were present in these neurons. ICd neurons displayed stimulus-specific adaptation by reducing the strength of firing during repetitive tone burst stimulation but restored their responses when the quality of sound was changed. Functional decortication changed the strength of firing in ICd neurons, suggesting these neurons were controlled by the auditory cortex. My results suggest that the ICd may provide a gating mechanism that helps the auditory system to selectively process novel sounds in the acoustic environment.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".