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Vision: From Neurons to Cognition

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

Bibliographic record

VenueJournal of Neuro-Ophthalmology · 2006
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCognitive scienceTheme (computing)Vision sciencePsychologyTranscranial magnetic stimulationNeuroscienceNeuropsychologyCognitionCognitive psychologyComputer scienceArtificial intelligence

Abstract

fetched live from 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

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 categoriesInsufficient payload (model declined to judge)
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 score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.352
Teacher spread0.288 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

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