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2010-01-18
Fundamentals of Computational Neuroscience - de Thomas Trappenberg (Author)
Details Fundamentals of Computational Neuroscience
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| Le Titre Du Fichier | Fundamentals of Computational Neuroscience |
| Date de publication | 2010-01-18 |
| Traducteur | Doulton Ragavi |
| Nombre de Pages | 802 Pages |
| La taille du fichier | 49.40 MB |
| Langue du Livre | Français et Anglais |
| Éditeur | Thames & Hudson |
| ISBN-10 | 6742247604-PEH |
| Format de Données | EPub AMZ PDF DOTX XHTML |
| Auteur | Thomas Trappenberg |
| EAN | 396-2279755608-PON |
| Nom de Fichier | Fundamentals-of-Computational-Neuroscience.pdf |
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Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development organization information processing and mental functions of the nervous system Although not a new area it is only recently that enough knowledge has been gathered to establish computational neuroscience as a
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Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development organization information processing and mental functions of the nervous system
Several theories aim to account for this fundamental property one of the most popular being reinforcement learning also used in artificial intelligence This theory postulates that learning emerges through a specific reinforcement of connections between neurons that are active during an event an action or a sequence of events and actions leading to a reward One of the key points of this
English version Computational neuroscience combines experimentation and modeling in the exploration of the causal mechanisms responsible for the major functions of the brain perception cognition motor skills their learning and their dysfunctions