It takes the average reader 10 hours and 3 minutes to read Emergent Neural Computational Architectures Based on Neuroscience by Stefan Wermter
Assuming a reading speed of 250 words per minute. Learn more
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.
Emergent Neural Computational Architectures Based on Neuroscience by Stefan Wermter is 587 pages long, and a total of 150,859 words.
This makes it 198% the length of the average book. It also has 184% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 13 hours and 44 minutes to read Emergent Neural Computational Architectures Based on Neuroscience aloud.
Emergent Neural Computational Architectures Based on Neuroscience is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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