UZH-Logo

Maintenance Infos

Systematic construction of finite state automata using VLSI spiking neurons


Neftci, Emre; Binas, Jonathan; Chicca, Elisabetta; Indiveri, Giacomo; Douglas, Rodney (2012). Systematic construction of finite state automata using VLSI spiking neurons. In: Living Machines 2012 - The international Conference on Biomimetic and Biohybrid Systems , Barcelona, Spain, 9 July 2012 - 12 July 2012, 382-383.

Abstract

Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications. These circuits are developed using standard silicon technologies, and exploit the analog properties of transistors to emulate the phenomena underlying the computations and the communication in the brain. Neuromorphic multi-neuron systems can provide a low-power and scalable information processing technology, that is optimally suited for advanced and future VLSI processes [1].

Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications. These circuits are developed using standard silicon technologies, and exploit the analog properties of transistors to emulate the phenomena underlying the computations and the communication in the brain. Neuromorphic multi-neuron systems can provide a low-power and scalable information processing technology, that is optimally suited for advanced and future VLSI processes [1].

Altmetrics

Downloads

0 downloads since deposited on 28 Feb 2013
0 downloads since 12 months

Additional indexing

Item Type:Conference or Workshop Item (Speech), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:12 July 2012
Deposited On:28 Feb 2013 08:09
Last Modified:05 Apr 2016 16:36
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:7375
Number of Pages:2
ISSN:0302-9743
ISBN:978-3-642-31524-4
Publisher DOI:https://doi.org/10.1007/978-3-642-31525-1_52
Permanent URL: https://doi.org/10.5167/uzh-75346

Download

[img]
Content: Published Version
Filetype: PDF - Registered users only
Size: 521kB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations