English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/83694
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

STDP and STDP variations with memristors for spiking neuromorphic learning systems

AuthorsSerrano-Gotarredona, Teresa ; Masquelier, T.; Prodromakis, T.; Indiveri, Giacomo; Linares-Barranco, Bernabé
Issue Date2013
PublisherFrontiers Media
CitationFrontiers in Neursocience 7(2): 1-15 (2013)
AbstractIn this paper we review several ways of realizing asynchronous Spike-Timing-Dependent-Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual memristors to implement synaptic weight multiplications, in a way such that it is not necessary to (a) introduce global synchronization and (b) to separate memristor learning phases from memristor performing phases. In the approaches described, neurons fire spikes asynchronously when they wish and memristive synapses perform computation and learn at their own pace, as it happens in biological neural systems. We distinguish between two different memristor physics, depending on whether they respond to the original "moving wall" or to the "filament creation and annihilation" models. Independent of the memristor physics, we discuss two different types of STDP rules that can be implemented with memristors: either the pure timing-based rule that takes into account the arrival time of the spikes from the pre- and the post-synaptic neurons, or a hybrid rule that takes into account only the timing of pre-synaptic spikes and the membrane potential and other state variables of the post-synaptic neuron. We show how to implement these rules in cross-bar architectures that comprise massive arrays of memristors, and we discuss applications for artificial vision. © 2013 Serrano-Gotarredona, Masquelier, Prodromakis, Indiveri and Linares-Barranco.
Publisher version (URL)http://dx.doi.org/10.3389/fnins.2013.00002
URIhttp://hdl.handle.net/10261/83694
DOI10.3389/fnins.2013.00002
Identifiersdoi: 10.3389/fnins.2013.00002
issn: 1662-4548
e-issn: 1662-453X
Appears in Collections:(IMSE-CNM) Artículos
Files in This Item:
File Description SizeFormat 
STDP and STDP.pdf3,44 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.