Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions
Author :
Publisher : Frontiers Media SA
Total Pages : 244
Release :
ISBN-10 : 9782889760008
ISBN-13 : 2889760006
Rating : 4/5 (006 Downloads)

Book Synopsis Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions by : Erika Covi

Download or read book Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions written by Erika Covi and published by Frontiers Media SA. This book was released on 2022-04-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions Related Books

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions
Language: en
Pages: 244
Authors: Erika Covi
Categories: Science
Type: BOOK - Published: 2022-04-26 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Interconnect Technology for Three-dimensional Chip Integration
Language: en
Pages: 137
Authors: Andreas Munding
Categories:
Type: BOOK - Published: 2007 - Publisher: Cuvillier Verlag

DOWNLOAD EBOOK

Spiking Neural Network Learning, Benchmarking, Programming and Executing
Language: en
Pages: 234
Authors: Guoqi Li
Categories:
Type: BOOK - Published: 2020-06-05 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Artificial Life VII
Language: en
Pages: 584
Authors: Mark A. Bedau
Categories: Computers
Type: BOOK - Published: 2000-08-01 - Publisher: MIT Press

DOWNLOAD EBOOK

The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field include
Event-Based Neuromorphic Systems
Language: en
Pages: 440
Authors: Shih-Chii Liu
Categories: Technology & Engineering
Type: BOOK - Published: 2015-02-16 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processor