A topographical model for the spatial representation of tonotopy in the auditory cortex
Bibliographic record
Abstract
L'estudi dels sistemes sensorials, particularment en el domini auditiu, té una importància primordial en neurociència. Comprendre la tonotopia (la disposició espacial de la representació de les freqüències) i la propagació topogràfica (la distribució espacial de l'activitat neural) en el sistema auditiu és essencial per entendre els mecanismes subjacents a la percepció del so. En aquest treball, presentem un model matemàtic i computacional per a modelar aquestes propietats espaials. El nostre model estableix un vincle entre la tonotopia i la topografia mitjançant la noció topològica de continuïtat. Mitjançant simulacions computacionals, demostrem com aquest model replica amb precisió alguns comportaments coneguts observats en el còrtex auditiu primari, aprofundint en la nostra comprensió de com es representa la tonotopia. En proporcionar tant una base teòrica com simulacions pràctiques, el nostre estudi contribueix a una comprensió més profunda de les característiques espacials del processament auditiu en el cervell.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".