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Record W1520127354 · doi:10.1109/ijcnn.2005.1555840

Motivational modulation of endogenous inputs to the superior colliculus

2006· article· en· W1520127354 on OpenAlexaff
Jason Satel, Thomas Trappenberg, Raymond M. Klein

Bibliographic record

VenueProceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · 2006
Typearticle
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSuperior colliculusSaccadic maskingSaccadeNeuroscienceBrainstemAttractorEye movementMechanism (biology)Computer scienceEndogenyIndirect pathway of movementBasal gangliaPsychologyBiologyPhysicsCentral nervous systemMathematics

Abstract

fetched live from OpenAlex

Proper initiation of saccadic eye movements depends on an intricate balance between exogenous and endogenous control mechanisms. The superior colliculus (SC) is a major site of signal integration that has been shown to drive the initiation of saccades in the brainstem. Previous work has shown that a winner-take-all mechanism implemented with a continuous attractor neural network (CANN) can explain and reproduce a multitude of behavioural findings, including the gap effect and the production of express saccades by K. Kopecz (1995) and by T.P. Trappenberg (2001). This investigation advances the CANN model of saccade initiation in several important ways in order to account for trial by trial adaptation of saccadic reaction times in a biologically plausible manner. A key hypothesis is that endogenous inputs to the intermediate layer of the SC can be adapted through motivationally-based feedback from other areas of the brain such as the basal ganglia or higher cortical areas.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.058
GPT teacher head0.255
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations3
Published2006
Admission routes1
Has abstractyes

Explore more

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