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Record W7035693543

Altered grid-like coding in early blind people during imagined navigation

2023· article· en· W7035693543 on OpenAlexaff

Bibliographic record

VenueeScholarship (California Digital Library) · 2023
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsCanadiana.org
Fundersnot available
KeywordsCoding (social sciences)Cognitive mapCognitionBlind spotStimulus (psychology)Spatial cognition
DOInot available

Abstract

fetched live from OpenAlex

Spatial navigation is supported by the combined activity of brain regions in the human navigation network (HNN) that integrates environmental information across complementary egocentric and allocentric reference frames. Despite humans mainly relying on vision to navigate space, the impact of early visual deprivation on the HNN is mostly unknown. In our experiment sighted and early blind participants were tested in two tasks of imagined navigation while undergoing fMRI. Results show, on the one hand, that both sighted and blind activated regions of the HNN during navigation, with no differences between groups. On the other hand, quadrature filter analysis in the entorhinal cortex, a crucial region for the creation of cognitive maps, revealed an alteration of grid-like coding in early blind individuals, which might be correlated to the adoption of egocentric-like strategies to navigate in space.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.021
GPT teacher head0.253
Teacher spread0.232 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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