Notice bibliographique
Résumé
Mircea Steriade—August 20, 1924–April 14, 2006 In the early hours of April 14, 2006 Mircea Steriade died of lung cancer. Mircea Steriade was born in Bucharest, Romania on August 20, 1924. He started his investigations of the nervous system during his first year of medical school (1945), and continued this work with relentless determination until a few months before his death. The only individual he ever recognized as a mentor, Frédéric Bremer, identified this feature of his personality, this intense striving, by calling him l'infatigable Monsieur Steriade. Mircea Steriade's long list of publications constitutes a vivid reflection of the exciting evolution of neurosciences through the second half of the twentieth century. He started his professional career as a researcher in the Laboratory of Neurophysiology at the Institute of Neurology in Bucharest, Romania. Then, after a short transition at the Université de Montréal, he established his own laboratory at the Université Laval in Quebec City, Canada. During the last two years of his life, he returned to Montréal, first on a sabbatical (his first sabbatical ever!) and then as a Visiting Professor. Summarizing Mircea Steriade's career and outstanding contributions, as well as his passionate character, is difficult in a short article. Clearly, Professor Steriade will be remembered as one of the most productive neuroscientists of the last six decades. Most of his work was devoted to the understanding of thalamocortical networks and of their contribution to the genesis of brain oscillations – including epileptiform activities. He was an outstanding electrophysiologist and theorist. He made invaluable insights into the mechanisms of sleep oscillations (both physiological and pathological) and their modulation by brainstem activation systems. Many of our most influential and challenging ideas about the origins of spike-wave seizures, and about the contribution of intrinsic properties of cortical neurons to consciousness, were introduced by Mircea Steriade. He had an unfettered belief that hard work is the main source of advancement in science. And he lived this philosophy. Professor Steriade arrived before anyone else in the laboratory, and served as an inspiring impulse for his students and younger colleagues. He remained youthful and vigorous in scientific debate, served especially well by his vast memory and encyclopedic knowledge of neuroscience. During his last years, seeing the rise of in vitro techniques in neuroscience, he fought passionately for the place of in vivo experimentation as an irreplaceable method for understanding the complex features of biological behaviors. Through his leadership and laboratory contributions to experimental neuroscience and epilepsy, Mircea Steriade's career has touched generations of researchers. His strong personality and high standards will continue to influence the neuroscience and epilepsy research fields, through those who knew him (his many students and collaborators) and those inspired by his creative legacy.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,170 | 0,133 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».