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dc.contributor.author
Delbrück, Tobias
dc.contributor.author
Van Schaik, André
dc.contributor.author
Hasler, Jennifer
dc.date.accessioned
2019-04-09T11:06:52Z
dc.date.available
2017-06-11T15:18:17Z
dc.date.available
2019-04-04T15:41:48Z
dc.date.available
2019-04-09T11:06:52Z
dc.date.issued
2014-12-19
dc.identifier.issn
1662-453X
dc.identifier.issn
1662-4548
dc.identifier.other
10.3389/fnins.2014.00424
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/95996
dc.identifier.doi
10.3929/ethz-b-000095996
dc.description.abstract
The 14 papers in this research topic were solicited primarily from attendees to the two most important hands-on workshops in neuromorphic engineering: the Telluride Neuromorphic Cognition Engineering Workshop (www.ine-web.org) and the Capo Caccia Cognitive Neuromorphic Engineering Workshop (capocaccia.ethz.ch). The papers show the results of feasibility studies of new concepts, as well as neuromorphic systems that have been constructed from more established neuromorphic technologies. Five papers exploit neuromorphic dynamic vision sensor (DVS) events that mimic the asynchronous and sparse spikes on biology's optic nerve fiber (Delbruck and Lang, 2013; O'Connor et al., 2013; Rea et al., 2013; Brandli et al., 2014; Camunas-Mesa et al., 2014; Clady et al., 2014). Two papers are on the hot topic (based on largest number of views) of event-driven computation in deep belief networks (DBNs) (O'Connor et al., 2013; Neftci et al., 2014). Two papers use floating gate technology for neuromorphic analog circuits (Gupta and Markan, 2014; Marr and Hasler, 2014). The collection is rounded out by papers on central pattern generators (Ambroise et al., 2013), neural fields for cognitive architectures (Sandamirskaya, 2014), sound perception (Coath et al., 2014), polychronous spiking networks (Wang et al., 2014), and automatic parameter tuning for large network simulations (Carlson et al., 2014).
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Research Foundation
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Neuromorphic engineering
en_US
dc.subject
Neural networks
en_US
dc.subject
Event-based
en_US
dc.subject
Spiking neural networks
en_US
dc.subject
Dynamic vision sensor
en_US
dc.subject
Floating gate
en_US
dc.subject
Neural simulation
en_US
dc.subject
Synaptic plasticity
en_US
dc.title
Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Frontiers in Neuroscience
ethz.journal.volume
8
en_US
ethz.journal.abbreviated
Front Neurosci
ethz.pages.start
00424
en_US
ethz.size
2 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
009497874
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T15:18:22Z
ethz.source
ECIT
ethz.identifier.importid
imp593652c90b2ca18550
ethz.ecitpid
pub:150558
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T03:15:52Z
ethz.rosetta.lastUpdated
2019-04-09T11:07:06Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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