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Geometry and landmark representation by pigeons: evidence for species‐differences in the hemispheric organization of spatial information processing?

2009· article· en· W1965617721 on OpenAlexafffund
Christiane Wilzeck, Helmut Prior, Debbie M. Kelly

Bibliographic record

VenueEuropean Journal of Neuroscience · 2009
Typearticle
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsUniversity of Saskatchewan
FundersDeutsche ForschungsgemeinschaftNatural Sciences and Engineering Research Council of CanadaSaskatchewan Health Research Foundation
KeywordsLandmarkLateralization of brain functionRepresentation (politics)Artificial intelligenceSpatial analysisMetric (unit)Computer visionPattern recognition (psychology)PsychologyComputer scienceCommunicationCognitive psychologyMathematics

Abstract

fetched live from OpenAlex

In this study, we investigated how pigeons (Columba livia) represent environmental geometry and landmark information. Birds learned to locate the centre of a square arena by means of geometric cues alone, or by means of both geometric and landmark cues. By manipulating the type of information available at training and testing, we assessed which cues the birds had encoded, and through the use of monocular occlusion we examined how the information was represented by the two brain hemispheres. Our results show that both brain hemispheres encoded geometric and landmark information. During all viewing conditions, the geometric representation was based mainly on an absolute metric for distance. The relative use of geometry and landmarks was experience dependent. With both brain hemispheres available birds relied, to a greater degree, on geometric information and used it in a more integrated way than with either hemisphere alone. Overall, our findings show a different pattern for the hemispheric encoding of geometric and landmark information by the pigeon than that previously reported for the domestic chick. Our results suggest that the organization of spatial information processing in the left and right brain hemispheres of birds may be more diverse than what is currently known.

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)0.001
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.293
Teacher spread0.237 · 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 designBench or experimental
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

Citations18
Published2009
Admission routes2
Has abstractyes

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