Results 101 to 110 of about 734,607 (408)
Attention and memory of medical residents after a night on call: a cross-sectional study [PDF]
, 2011 Irmandade da Santa Casa de Misericórdia de São Paulo Hospital Central Emergency RoomSanta Casa de Misericórdia de São Paulo School of Medical Science Department of Psychiatry and Medical PsychologyUniversidade Federal de São Paulo (UNIFESP) Department of
Gil, Gislaine +5 more
core +4 more sources
The parents of neuroscience and the neuroscience of parents [PDF]
Estudos de Biologia, 2012 Today’s burgeoning science of the mind, neuroscience stands on the shoulders of giants, great minds that have madehistory and still influence present day neurobiology because the strength of their contributions was so widespread andenduring. Our contribution will discuss some of the major forebears of neuroscience, and their continued contribution ...
Katie Coren Freeman +2 more
openaire +1 more source
NEUROSCIENCES ET ÉDUCATION: QUELLE PERTINENCE POUR L’UNIVERSITÉ MAROCAINE?
Cortica, 2023 Les connaissances neuroscientifiques fournissent aujourd’hui suffisamment d'informations sur les mécanismes de l'apprentissage pour modifier les pratiques d'enseignement et de formation.
Mounia Bouhafs
doaj +1 more source
A learning gap between neuroscience and reinforcement learning [PDF]
arXiv, 2021 Historically, artificial intelligence has drawn much inspiration from neuroscience to fuel advances in the field. However, current progress in reinforcement learning is largely focused on benchmark problems that fail to capture many of the aspects that are of interest in neuroscience today.
arxiv
On directed information theory and Granger causality graphs [PDF]
J. Comput. Neurosci. (2010), 30:7-16, 2010 Directed information theory deals with communication channels with feedback. When applied to networks, a natural extension based on causal conditioning is needed. We show here that measures built from directed information theory in networks can be used to assess Granger causality graphs of stochastic processes.
arxiv +1 more source
Machine Learning for Neuroimaging with Scikit-Learn [PDF]
, 2013 Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Abraham, Alexandre +8 more
core +4 more sources
Revue de Primatologie, 2015 La motivation regroupe l’ensemble des processus qui sous-tendent le comportement, en bref, pourquoi on fait ce que l’on fait ? Que ce soit en termes de choix entre plusieurs actions ou de quantité d’énergie dépensée pour une action donnée, les ...
Chiara Varazzani +4 more
doaj +1 more source
Schizophrénie et personnalité schizotypique
Cortica, 2023 Schizophrénie et personnalité ...
Bénédicte Jaggy, Louisa Schouwey
doaj +1 more source
Recommendations for repositories and scientific gateways from a neuroscience perspective [PDF]
arXiv, 2022 Digital services such as repositories and science gateways have become key resources for the neuroscience community, but users often have a hard time orienting themselves in the service landscape to find the best fit for their particular needs. INCF (International Neuroinformatics Coordinating Facility) has developed a set of recommendations and ...
arxiv
An Introductory Review of Information Theory in the Context of Computational Neuroscience [PDF]
Biological Cybernetics, 105(1), 1-16, 2011, 2011 This paper introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for two reasons. Simply applying formulae from information theory without understanding the assumptions behind their definitions can lead to erroneous results and ...
arxiv +1 more source