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Brain Computation as Hierarchical Abstraction

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  • 458pages
  • 17 heures de lecture

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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.

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Brain Computation as Hierarchical Abstraction, Dana H. Ballard

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Année de publication
2015
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