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A Cross-Species Investigation of Acetylcholine, Attention, and Feature Binding

2008· article· en· W2107850450 on OpenAlexaff
Leigh C.P. Botly, Eve De Rosa

Bibliographic record

VenuePsychological Science · 2008
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsPsychologyNeuroscienceAcetylcholineMuscarinic acetylcholine receptorCholinergicStimulus (psychology)Feature (linguistics)Muscarinic antagonistCognitive psychologyCommunicationChemistryBiologyPharmacologyReceptor

Abstract

fetched live from OpenAlex

The binding problem is the brain's fundamental challenge to integrate sensory information to form a unified representation of a stimulus. A recent nonhuman animal model suggests that acetylcholine serves as the neuromodulatory substrate for feature binding. We hypothesized that this animal model of cholinergic contributions to feature binding may be an analogue of human attention. To test this hypothesis, we conducted a cross-species study in which rats and humans learned comparable intramodal feature-conjunction (FC) and feature-singleton (FS) tasks. We challenged the cholinergic system of rats using the muscarinic antagonist scopolamine (0.2 mg/kg) and challenged the attentional system of humans by dividing attention. The two manipulations yielded strikingly similar patterns of behavior, impairing FC acquisition, while sparing FS acquisition and FC retrieval. These cross-species findings support the hypothesis that cholinergically driven attentional processes are essential to feature binding at encoding, but are not required for retrieval of neural representations of bound stimuli.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.205
GPT teacher head0.391
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations28
Published2008
Admission routes1
Has abstractyes

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