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Enregistrement W1964895939 · doi:10.1097/01.wno.0000206240.96667.f9

Vision: From Neurons to Cognition

2006· article· en· W1964895939 sur OpenAlexaffabout
Jason J.S. Barton

Notice bibliographique

RevueJournal of Neuro-Ophthalmology · 2006
Typearticle
Langueen
DomaineNeuroscience
ThématiqueVisual perception and processing mechanisms
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésCognitive scienceTheme (computing)Vision sciencePsychologyTranscranial magnetic stimulationNeuroscienceNeuropsychologyCognitionCognitive psychologyComputer scienceArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

Vision: From Neurons to Cognition Christain Casanova, PhD, and Maurice Ptito, PhD, Editors. Elsevier Science, Amsterdam, 2001. ISBN: 0-444-50586-5, $215.95. Scope: This book is the product of a symposium of the same name held in May 2000 in Montreal. The range of topics is large, ranging from the first chapter on the effects of glutamate in retinal ganglion cells to selective attention. Most of the book is devoted to work based on animal neurophysiology with a de-emphasis of psychophysics, psychology, and neuropsychology. As with all multi-authored books, there is significant variation among the chapters. There are experimental papers that would be at home in the pages of The Journal of Neuroscience, scientific reviews that advance a particular hypothesis, and basic reviews appropriate for a general audience. This veritable potpourri forces the reader to shift gears in moving between chapters, perhaps not a bad thing. One discovers that this is a collection of papers without a theme, except that all involve vision. Strengths: The chapter by Cowey and Walsh on transcranial magnetic stimulation is as good an introduction to the technique for the uninitiated as I have seen anywhere. The article by Pascual-Leone and Hamilton details an intriguing exploration of the question of what exactly it means for visual cortex to be “visual,” by using transcranial magnetic stimulation and functional MRI (fMRI) to study the shift in function of the occipital cortex towards tactile processing in the blind and the blindfolded. Two chapters detail important challenges to the alternate pathway explanations of blindsight. Fendrich, Wessinger, and Gazzaniga review their data on the relation of blindsight to islands of surviving vision, and presumably surviving striate cortex; Faubert and Diacomi describe with mathematical detail the potential for intra-ocular scatter to explain the data supporting blindsight in hemidecorticated patients. This work provides some comfort to Campion, Latto, and Smith who were castigated by the research community for similar arguments in 1982. Schiller and Tehovnik provide a good summary of neurophysiologic data on the role of different cortical regions in generating saccades, complementing the reviews based on human lesions that Pierrot-Deseilligny has written in other periodicals. I found the chapter by Kaas and Lyon on whether primates have an area V3 to be an intriguing example of the vagaries involved in defining a cortical area. Last, Goodale provides another excellent overview of the experiments supporting the notion that extrastriate cortex is divided into a dorsal stream for action preparation and a ventral stream for object recognition. Weaknesses: The range of material covered is uneven. At least five of the chapters are devoted to blindsight, the main research field of one of the editors. On the other hand, there is no treatment of face recognition, and there is only one chapter devoted to reading research and the magnocellular theory of dyslexia. Given the explosion in functional neuroimaging, there is a surprising lack of fMRI data. The one chapter on fMRI and the Stroop task has the odd distinction of being the only functional neuroimaging paper I have seen without any figures. Recommended audience: Pure clinicians will not likely consider this book helpful, and those lacking experience in neurophysiology will find the early chapters heavy reading. However, those who are involved in research on cortical visual dysfunction will find much of interest. Critical appraisal: This book should not be sought as a comprehensive review of visual neuroscience. But it is an interesting “Year 2000” snapshot of the state of vision research, particularly in neurophysiology. It is disappointing that the publishers have taken such a long time to deliver such a time-sensitive book. I would have been happier to have it on my shelf a few years ago. Jason J. S. Barton, MD, PhD, FRCPC University of British Columbia Vancouver, British Columbia

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,274
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,064
Tête enseignante GPT0,352
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2006
Routes d'admission2
Résumé présentoui

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