10 libri per 10 euro qui
Bookbot

Dana H. Ballard

    Dana H. Ballard è Professore presso il Dipartimento di Scienze Informatiche dell'Università del Texas ad Austin. La sua ricerca si addentra nel campo del calcolo naturale, esplorando l'intersezione tra informatica e cognizione. Il lavoro di Ballard mira a comprendere come il cervello elabora le informazioni, applicando queste intuizioni allo sviluppo di sistemi intelligenti. Il suo approccio collega concetti teorici con applicazioni pratiche nella robotica e nell'intelligenza artificiale.

    Hierarchic recognition of tumors in chest radiographs with computer
    Brain Computation as Hierarchical Abstraction
    An Introduction to Natural Computation
    • 2015

      Exploring the parallels between brain function and silicon computing, the author argues for a hierarchical understanding of both systems. Despite their differing architectures, Ballard posits that computational tools are vital for deciphering the complexities of neural circuitry. By breaking down brain computation into various levels of abstraction, he reveals that the brain's organization mirrors that of computing, allowing for a simplified approach to understanding its intricate processes.

      Brain Computation as Hierarchical Abstraction
    • 1999

      The book offers an in-depth exploration of the computational principles that support emerging brain models. It delves into the foundational concepts and methodologies that are shaping our understanding of brain function and neural networks, making it a vital resource for those interested in neuroscience and computational modeling.

      An Introduction to Natural Computation
    • 1976