Neuromorphic Engineering Neuromorphic Engineering

Neuromorphic Engineering

The Scientist’s, Algorithms Designer’s and Computer Architect’s Perspectives on Brain-Inspired Computing

    • $69.99
    • $69.99

Publisher Description

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.

GENRE
Computers & Internet
RELEASED
2021
August 26
LANGUAGE
EN
English
LENGTH
330
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
17.8
MB
Artificial Neural Networks and Machine Learning – ICANN 2017 Artificial Neural Networks and Machine Learning – ICANN 2017
2017
SUBCRITICAL BRAIN, THE SUBCRITICAL BRAIN, THE
2021
Artificial Neural Networks and Machine Learning – ICANN 2016 Artificial Neural Networks and Machine Learning – ICANN 2016
2016
Brain-Inspired Computing Brain-Inspired Computing
2014
Neural Network Perspectives on Cognition and Adaptive Robotics Neural Network Perspectives on Cognition and Adaptive Robotics
2019
From Animals to Animats 16 From Animals to Animats 16
2022