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Record W2032679464 · doi:10.1167/8.6.371

Preserved motion processing and visuomotor control in a patient with large bilateral lesions of occipitotemporal cortex

2010· article· en· W2032679464 on OpenAlexaff
Melvyn A. Goodale, Michael E. Wolf, Robert L. Whitwell, Liana E. Brown, J. S. Cant, Christopher S. Chapman, Jessica K. Witt, Stephen R. Arnott, Salman Khan, Philippe A. Chouinard, Jody C. Culham, Gordon N. Dutton

Bibliographic record

VenueJournal of Vision · 2010
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsTrent UniversityWestern University
Fundersnot available
KeywordsVision for perception and vision for actionVisual processingOccipital lobePerceptionPsychologyVisual cortexVisual systemDorsumNeuroscienceObject (grammar)Visual perceptionNeuropsychologyCognitive neuroscience of visual object recognitionMotion perceptionCortex (anatomy)GRASPArtificial intelligenceComputer scienceCognitionAnatomyBiology

Abstract

fetched live from OpenAlex

According to Goodale and Milner, visual perception is mediated by the ventral stream and the visual control of action by the dorsal stream of cortical visual projections. The initial neuropsychological evidence for this idea was based strongly on a single case, DF, who has impaired object recognition but spared visual control of grasping, consistent with lesions to lateral occipital (LO) cortex but intact dorsal-stream processing. Here we present data from a new patient, MC, a 38-year-old woman who shows very similar behaviour to DF despite much more extensive bilateral occipitotemporal lesions that encompass not only LO but most of early visual cortex in the occipital lobe, except for a small tag of tissue in the rostral calcarine cortex (Culham et al., VSS 2008). MC shows some preserved motion perception, but is unable to identify line drawings (or real exemplars) of common objects or discriminate colours or visual textures. Not surprisingly, MC cannot discriminate between rectangular objects with different dimensions; nor can she indicate their width manually. Remarkably, however, when she reaches out to grasp such objects, her in-flight grasp scales to the object's size. Similarly, even though MC cannot discriminate between objects of varying shape, she chooses stable grasp points on those objects when she reaches out to pick them up. The case of MC not only reinforces the conclusions about separate visual processing for perception and action drawn from DF, but also suggests that visuomotor mechanisms in the dorsal stream are capable of mediating the processing of object features such as size, shape, and orientation for the control of visually guided grasping even with highly impoverished (or perhaps entirely absent) input from the ventral stream and early visual 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.207

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 science0.0000.000
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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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