Emergent Neural Computational Architectures Based On Neuroscience: Towards Neuroscience-inspired Computing (lecture Notes In Computer Science)
by David Willshaw /
2001 / English / PDF
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It is generally understood that the present approachs to computing
do not have the performance, flexibility, and reliability of
biological information processing systems. Although there is a
comprehensive body of knowledge regarding how information
processing occurs in the brain and central nervous system this has
had little impact on mainstream computing so far. This book
presents a broad spectrum of current research into biologically
inspired computational systems and thus contributes towards
developing new computational approaches based on neuroscience. The
39 revised full papers by leading researchers were carefully
selected and reviewed for inclusion in this anthology. Besides an
introductory overview by the volume editors, the book offers
topical parts on modular organization and robustness, timing and
synchronization, and learning and memory storage.
It is generally understood that the present approachs to computing
do not have the performance, flexibility, and reliability of
biological information processing systems. Although there is a
comprehensive body of knowledge regarding how information
processing occurs in the brain and central nervous system this has
had little impact on mainstream computing so far. This book
presents a broad spectrum of current research into biologically
inspired computational systems and thus contributes towards
developing new computational approaches based on neuroscience. The
39 revised full papers by leading researchers were carefully
selected and reviewed for inclusion in this anthology. Besides an
introductory overview by the volume editors, the book offers
topical parts on modular organization and robustness, timing and
synchronization, and learning and memory storage.