Brain Computation as Hierarchical Abstraction /

Afficher d'autres versions (1)

The vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical...

Description complète

Détails bibliographiques
Auteur principal: Ballard, Dana H. (Dana Harry), 1946- (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Cambridge, Massachusetts : The MIT Press, [2015]
Collection:Book collections on Project MUSE.
Sujets:
Neurobiology.
Computational neuroscience.
Neural networks (Computer science)
COMPUTERS > Data Modeling & Design.
SCIENCE > Life Sciences > Human Anatomy & Physiology.
MEDICAL > Physiology.
Reseaux neuronaux (Informatique)
Neurobiologie.
Neurosciences informatiques.
Neurobiology
Neurons > physiology
Neural Networks, Computer
Nerve Net > physiology
Models, Neurological
Mental Processes > physiology
Brain > physiology
Electronic books.
Accès en ligne:Texto completo
Description
Résumé:The vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organisation of the brain has many parallels with the hierarchical organisation of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction.
Description matérielle:1 online resource (456 pages).
ISBN:9780262323819

Documents similaires