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Dana H. Ballard

    Dana H. Ballard is hoogleraar aan de afdeling Computerwetenschappen van de Universiteit van Texas in Austin. Zijn onderzoek duikt in natuurlijke berekeningen en onderzoekt de kruising van informatica en cognitie. Ballard's werk probeert te begrijpen hoe de hersenen informatie verwerken, en past deze inzichten toe op de ontwikkeling van intelligente systemen. Zijn benadering overbrugt theoretische concepten met praktische toepassingen in robotica en kunstmatige intelligentie.

    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
      4,1(11)Tarief

      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