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Enregistrement W1994068676 · doi:10.1007/s10072-014-1638-3

David Hubel (1926–2013): the man who developed our understanding of vision

2014· article· en· W1994068676 sur OpenAlexaboutno aff
Andrzej Grzybowski, Krzysztof Pietrzak

Notice bibliographique

RevueNeurological Sciences · 2014
Typearticle
Langueen
DomaineNeuroscience
ThématiqueVisual perception and processing mechanisms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeuroradiologyNeurologyNeurosurgeryPsychologyOphthalmologyMedicineOptometryNeurosciencePsychiatry

Résumé

récupéré en direct d'OpenAlex

David Hubel (Fig. 1) was born on the 27th of February 1926 in Windsor, Ontario, Canada. His parents were American emigrants; his father was a chemist. In 1929, they moved to Montreal. From his early age, Hubel, following his father’s footsteps, showed interest in science, especially chemistry and electric engineering. After graduating from Strathcona Academy located on the Montreal suburbs, he began his studies at the McGill University in Montreal. Initially he studied physics and mathematics than medicine [1]. Fig. 1 David Hubel (1926–2013) After graduation and apprenticeship, he took 2 years residency in neurology. Already in Canada, under the direction of Herbert Jasper, he developed his interests in neurology. In 1953, he received American, while simultaneously retaining Canadian citizenship. In 1954 he moved to America, where in Baltimore he began residency in neurology at the John Hopkins University School of Medicine. In 1955, he was drafted into the military service, where fortunately he could devote himself to scientific research. He started working at the Walter Reed Army Medical Center in Washington. Both, his specialization and the long-time interest in electronics drove him to conduct research on the nervous system. Initially he engaged in research on the cord, than the cerebral cortex. Together with a team of neurophysiologists he conducted studies on the visual cortex in sleeping and awakened cats. Hubel invented the modern tungsten microelectrode, supported by a hydraulic control unit that allows detection of signals from that area. Hubel noticed that various light signals stimulate individual neurons whereas others are left inactivated. In 1958, Hubel returned to John Hopkins where he began working with a team under the leadership of Stephen Kuffer (1913–1980). There he had begun a close cooperation with Torsten Wiesel, with whom he discovered selectivity and columnar organization in striate cortex. The research was conducted again placing a microelectrode in the striate cortex of cats. The animals were subjected to subsequent images, light, and dark. Individual neurons responded differently to diverse light intensity and graphic elements such as rectangles, with various angles of inclination. Some fired rapidly with lines at one angle while others were activated with light at a different one. Different images caused the neurons activity to change. These findings led Hubel and Wiesel to hierarchize striate cortex cells [2, 3]. In 1959, a publication authored by Hubel and Wiesel appeared on this subject [4]. It showed the results of research conducted on 24 lightly anesthetized cats whose eyes were opened using wire clips. The authors provided cats with light impulses to one or both eyes. The signal was picked up in single cells of the striate cortex. The cells of the striate cortex were activated in continuous light and the deepening of anesthesia decreased the degree of cell activity. The area of the retina, which caused the activity of a single field in the striate cortex, was later called the receptive field. Within these fields Hubel and Wiesel distinguished excitatory and inhibitory regions. A single light stimulus, illuminating the receptive field of the retina, as a source of scattered light was relatively ineffective in stimulating the entire striate cortex due to the antagonistic effect of excitatory and inhibitory regions. Effective cortical stimulation depends on the size and shape of light stimuli—in accordance with the distribution of excitatory and inhibitory regions within the receptive area of the retina. Hubel and Wiesel also noted that the intensity of cortical response also depended on the direction of the light source movement. They examined 45 individuals within the cortex—corresponding to the respective regions in the retina—36 were driven from only one eye, 15 from the ipsilateral eye, 21 from the contralateral and the remaining 9 from the two eyes independently. Thy eyes of some cats were equally sensitive; in others the dominance of one eye over the other was noted. The fields within the striate cortex, which were sensitive to the stimuli from both eyes, corresponded to the receptive fields with a very similar construction in both eyes. Also their location in the retina was coherent as to the shape, size and the direction of the movement of light [5]. Neurons which received signals that was strictly determined as to the shape and direction of movement were called by Hubel and Wiesel, simple cells; those which were more versatile, complex cells. This way the scientists, step by step, made the discovery that the striate cortex is organized in several columns, specialized in processing light signals. As a result the visual cortex became the first mapped area of the brain. In 1959, Kuffer along with the entire team composed of nine families including that of Hubel, moved to Harvard University in Cambridge. The group closely collaborated at Harvard, and after 5 years created a separate Department of Neurobiology where they continued research and once again undertook the notion of vision. After suturing an eye of a kitten it turned out that the eye turned blind as a result of lack of striate cortex stimulation. On the other hand they demonstrated the flexibility of the cortex where the temporary closure of one eye permanently shifts the ocular dominance of neurons in the striate cortex to the eye that remains open. This led them to the conclusion on the importance of light impulses on the development of visual cortex. This also led to the discovery of the ocular dominance columns within the visual cortex. In addition, the dominance of one eye over the other proved normal. They also discovered that covering one eye causes lack of proper development of the areas responsible for binocular vision. These studies have altered the way ophthalmologist perceive the most beneficial time for surgical treatment of eye diseases such as congenial cataract and strabismus. Prior to Hubel and Wiesel’s discovery, the decision on the surgical treatment of these conditions was postponed; contemporarily surgical treatment is done in early childhood [5]. Since 1965, Hubel worked as a Professor of Physiology and since 1968 as a Professor in Neurobiology at the Harvard University. In 1979 he was awarded the Dickson Prize. In 1981, together with T. Wiesel, he was awarded the NN “for their discoveries concerning information processing in the visual system”. At Harvard, Hubel held lectures until his retirement in January 2013. He was also the laureate of 12 honorary doctorates. David Hubel was married to Shirley Hubel and they were an extremely harmonious marriage. They had three sons. Hubel was a man of many interests, he knew several languages, he was interested in music, he played the piano and the flute. He enjoyed pottering about how he conducted astronomical observations, played tennis and squash and liked skiing. David Hubel was an extremely liked and sociable person who was characterized by great sense of humor. David Hubel died of kidney failure on September 22, 2013 in Lincoln, MA.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,600
Score d'incertitude au seuil0,635

Scores Codex et Gemma par catégorie

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

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 Opus0,226
Tête enseignante GPT0,381
Écart entre enseignants0,155 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations1
Publié2014
Routes d'admission1
Résumé présentoui

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