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portada Neuromorphic Engineering: The Scientist’S, Algorithms Designer’S and Computer Architect’S Perspectives on Brain-Inspired Computing
Type
Physical Book
Publisher
Author
Language
English
Pages
330
Format
Hardcover
ISBN13
9780367676803
Edition No.
1

Neuromorphic Engineering: The Scientist’S, Algorithms Designer’S and Computer Architect’S Perspectives on Brain-Inspired Computing

Elishai Ezra Tsur (Author) · Crc Press · Hardcover

Neuromorphic Engineering: The Scientist’S, Algorithms Designer’S and Computer Architect’S Perspectives on Brain-Inspired Computing - Elishai Ezra Tsur

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Synopsis "Neuromorphic Engineering: The Scientist’S, Algorithms Designer’S and Computer Architect’S Perspectives on Brain-Inspired Computing "

The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace. However, studying the brain's core computation architecture can inspire scientists, computer architects, and algorithm designers to think fundamentally differently about their craft. Neuromorphic engineers have the ultimate goal of realizing machines with some aspects of cognitive intelligence. They aspire to design computing architectures that could surpass existing digital von Neumann-based computing architectures' performance. In that sense, brain research bears the promise of a new computing paradigm. As part of a complete cognitive hardware and software ecosystem, neuromorphic engineering opens new frontiers for neuro-robotics, artificial intelligence, and supercomputing applications.The book presents neuromorphic engineering from three perspectives: the scientist, the computer architect, and the algorithm designer. It zooms in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. Overall, the book covers the basics of neuronal modeling, neuromorphic circuits, neural architectures, event-based communication, and the neural engineering framework.

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