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Record W1994084912 · doi:10.1097/wnr.0b013e328333d6ac

Cortical development of the visual system of the rat

2009· article· en· W1994084912 on OpenAlexaff
François Prévost, Franco Leporé, Jean‐Paul Guillemot

Bibliographic record

VenueNeuroreport · 2009
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
Fundersnot available
KeywordsReceptive fieldNeuroscienceVisual cortexNeuronCentral nervous systemSpatial frequencyVisual systemElectrophysiologyBiologyContrast (vision)ExtracellularPsychologyPhysicsOpticsCell biology

Abstract

fetched live from OpenAlex

Although rat is commonly used for studying the visual system, the development of spatio-temporal receptive field properties of neurons in its primary visual cortex remains relatively unknown. Extracellular single neuron recordings were thus carried out in anaesthetized newborn rats between postnatal (P) day 15 and 30 and in adult rats. The first neuronal responses evoked by drifting sinusoidal gratings were obtained at P16. From P27-P30 to adulthood, the neurons' optimal temporal frequency significantly increased, whereas the contrast threshold decreased. However, the optimal spatial frequency, spatial resolution and spatial bandwidth were, soon after eye opening, similar to those observed in the adult rat. The differential maturation of receptive field properties is discussed with regard to the functional pathways of the rat visual system.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.055
GPT teacher head0.323
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2009
Admission routes1
Has abstractyes

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