Publication:

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation

Date

2022
Journal article
https://doi.org/10.1109/TNNLS.2021.3116709
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dc.contributor.authorVettelschoss, Benedikt
dc.contributor.authorRohm, Andre
dc.contributor.authorSoriano, Miguel C.
dc.contributor.imecauthorVettelschoss, Benedikt
dc.contributor.orcidimecVettelschoss, Benedikt::0000-0002-8892-9185
dc.date.accessioned2022-06-10T07:39:59Z
dc.date.available2021-12-30T02:06:37Z
dc.date.available2022-06-10T07:39:59Z
dc.date.embargo2023-05-07
dc.date.issued2022
dc.description.wosFundingTextThis work was supported in part by the European Union's Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie Agreement (POST DIGITAL) under Grant 860360; in part by the Spanish State Research Agency under Project PID2019-109094GB-C22/AEI/10.13039/501100011033; and in part by the Severo Ochoa and Maria de Maeztu Program for Centers and Units of Excellence in Research and Development under Grant MDM2017-0711. The work of Miguel C. Soriano was supported by the Spanish Ministerio de Economia, Industria y Competitividad, through a Ramon y Cajal Fellowship, under Grant RYC-2015-18140.
dc.identifier.doi10.1109/TNNLS.2021.3116709
dc.identifier.issn2162-237X
dc.identifier.pmidMEDLINE:34662281
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38689
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage2714
dc.source.endpage2725
dc.source.issue6
dc.source.journalIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
dc.source.numberofpages12
dc.source.volume33
dc.subject.keywordsPERFORMANCE
dc.subject.keywordsCHAOS
dc.subject.keywordsCOMPUTATION
dc.subject.keywordsANALOG
dc.title

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation

dc.typeJournal article
dspace.entity.typePublication
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