Neuromorphic Engineering Systems and Applications

Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in imple...

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Główni autorzy: Tobi Delbruck, Jennifer Hasler, Andre van Schaik
Format: Online
Język:angielski
Wydane: Frontiers Media SA 2021
Hasła przedmiotowe:
Dostęp online:18600
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author Tobi Delbruck
Jennifer Hasler
Andre van Schaik
author_browse Andre van Schaik
Jennifer Hasler
Tobi Delbruck
author_facet Tobi Delbruck
Jennifer Hasler
Andre van Schaik
author_sort Tobi Delbruck
collection Directory of Open Access Books
description Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems. More recently, several big projects have emerged to build very large scale neuromorphic systems. The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops. With this special research topic, we showcase the state-of-the-art in neuromorphic systems.
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spelling doab-20.500.12854ir-545102024-04-05T12:35:28Z Neuromorphic Engineering Systems and Applications Tobi Delbruck Jennifer Hasler Andre van Schaik RC321-571 Q1-390 neuromorphic engineering Learning Floating gate Neural Network spike-based event-based simulation dynamic vision sensor network thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems. More recently, several big projects have emerged to build very large scale neuromorphic systems. The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops. With this special research topic, we showcase the state-of-the-art in neuromorphic systems. 2021-02-11T20:50:04Z 2021-02-11T20:50:04Z 2016-02-05 17:24:33 2015 book 18600 16648714 9782889194544 https://directory.doabooks.org/handle/20.500.12854/54510 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Neuromorphic_Engineering_Systems_and_Applications/521#nogo http://journal.frontiersin.org/researchtopic/1394/neuromorphic-engineering-systems-and-applications Frontiers Media SA 10.3389/978-2-88919-454-4 10.3389/978-2-88919-454-4 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889194544 182 open access
spellingShingle RC321-571
Q1-390
neuromorphic engineering
Learning
Floating gate
Neural Network
spike-based
event-based
simulation
dynamic vision sensor
network
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Tobi Delbruck
Jennifer Hasler
Andre van Schaik
Neuromorphic Engineering Systems and Applications
title Neuromorphic Engineering Systems and Applications
title_full Neuromorphic Engineering Systems and Applications
title_fullStr Neuromorphic Engineering Systems and Applications
title_full_unstemmed Neuromorphic Engineering Systems and Applications
title_short Neuromorphic Engineering Systems and Applications
title_sort neuromorphic engineering systems and applications
topic RC321-571
Q1-390
neuromorphic engineering
Learning
Floating gate
Neural Network
spike-based
event-based
simulation
dynamic vision sensor
network
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
topic_facet RC321-571
Q1-390
neuromorphic engineering
Learning
Floating gate
Neural Network
spike-based
event-based
simulation
dynamic vision sensor
network
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
url 18600
work_keys_str_mv AT tobidelbruck neuromorphicengineeringsystemsandapplications
AT jenniferhasler neuromorphicengineeringsystemsandapplications
AT andrevanschaik neuromorphicengineeringsystemsandapplications