dc.creator | Guo, Xinjie | es |
dc.creator | Merrihk-Bayat, F. | es |
dc.creator | Gao, Ligand | es |
dc.creator | Hoskins, Brian D. | es |
dc.creator | Alibart, Fabien | es |
dc.creator | Linares Barranco, Bernabé | es |
dc.creator | Theogarajan, Luke | es |
dc.creator | Teucher, Christof | es |
dc.creator | Strukov, Dmitri B. | es |
dc.date.accessioned | 2018-05-03T16:26:40Z | |
dc.date.available | 2018-05-03T16:26:40Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Guo, X., Merrihk-Bayat, F., Gao, L., Hoskins, B.D., Alibart, F., Linares Barranco, B.,...,Strukov, D.B. (2015). Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits. Frontiers in Neuroscience, 9, 488-. | |
dc.identifier.issn | 1662-4548 | es |
dc.identifier.issn | 1662-453X | es |
dc.identifier.uri | https://hdl.handle.net/11441/74003 | |
dc.description.abstract | The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog-to-digital converter (ADC) with up to 8 bits of precision. Major shortcomings affecting the ADC's precision, such as the non-ideal behavior of CMOS circuitry and the specific limitations of memristors, were investigated and an effective solution was proposed, capitalizing on the in-field programmability of memristors. The theoretical work was validated experimentally by demonstrating the successful operation of a 4-bit ADC circuit implemented with discrete Pt/TiO2−x/Pt memristors and CMOS integrated circuit components. | es |
dc.description.sponsorship | National Science Foundation CCF-1028378 | es |
dc.description.sponsorship | Air Force Office of Scientific Research FA9550-12-1-0038 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2012-37868-C04-01 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Frontiers Media | es |
dc.relation.ispartof | Frontiers in Neuroscience, 9, 488-. | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | CCF-1028378 | es |
dc.relation.projectID | FA9550-12-1-0038 | es |
dc.relation.projectID | TEC2012-37868-C04-01 | es |
dc.relation.publisherversion | http://dx.doi.org/10.3389/fnins.2015.00488 | es |
dc.identifier.doi | 10.3389/fnins.2015.00488 | es |
idus.format.extent | 8 p. | es |
dc.journaltitle | Frontiers in Neuroscience | es |
dc.publication.volumen | 9 | es |
dc.publication.initialPage | 488 | es |