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dc.contributor.authorIwane, Fumiaki-
dc.contributor.authorIturrate, Iñaki-
dc.contributor.authorChavarriaga, Ricardo-
dc.contributor.authorMillán, José del R.-
dc.date.accessioned2021-06-11T12:50:55Z-
dc.date.available2021-06-11T12:50:55Z-
dc.date.issued2021-
dc.identifier.issn1741-2552de_CH
dc.identifier.issn1741-2560de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/22622-
dc.description.abstractObjective: When humans perceive an erroneous action, an EEG error-related potential (ErrP) is elicited as a neural response. ErrPs have been largely investigated in discrete feedback protocols, where actions are executed at discrete steps, to enable seamless brain-computer interaction. However, there are only a few studies that investigate ErrPs in continuous feedback protocols. The objective of the present study is to better understand the differences between two types of ErrPs elicited during continuous feedback protocols, where errors may occur either at predicted or unpredicted states. We hypothesize that ErrPs of the unpredicted state is associated with longer latency as it requires higher cognitive workload to evaluate actions compared to the predicted states. Approach: Participants monitored the trajectory of an autonomous cursor that occasionally made erroneous actions on its way to the target in two conditions, namely, predicted or unpredicted states. After characterizing the ErrP waveform elicited by erroneous actions in the two conditions, we performed single-trial decoding of ErrPs in both synchronous (i.e. time-locked to the onset of the erroneous action) and asynchronous manner. Furthermore, we explored the possibility to transfer decoders built with data of one of the conditions to the other condition. Main results: As hypothesized, erroneous actions at unpredicted states gave rise to ErrPs with higher latency than erroneous actions at predicted states, a correlate of higher cognitive effort in the former condition. Moreover, ErrP decoders trained in a given condition successfully transferred to the other condition with a slight loss of classification performance. This was the case for synchronous as well as asynchronous ErrP decoding, showing the invariability of ErrPs across conditions. Significance: These results advance the characterization of ErrPs during continuous feedback protocols, enlarging the potential use of ErrPs during natural operation of brain-controlled devices as it is not necessary to have different decoders for each kind of erroneous conditions.de_CH
dc.language.isoende_CH
dc.publisherIOP Publishingde_CH
dc.relation.ispartofJournal of Neural Engineeringde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAsynchronous decodingde_CH
dc.subjectContinuous feedback protocolde_CH
dc.subjectError-related potentialde_CH
dc.subjectTransfer learningde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleInvariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted statesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
dc.identifier.doi10.1088/1741-2552/abfa70de_CH
dc.identifier.pmid33882461de_CH
zhaw.funding.euNode_CH
zhaw.issue4de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start046044de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume18de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedMachine Perception and Cognitionde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Iwane, F., Iturrate, I., Chavarriaga, R., & Millán, J. d. R. (2021). Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states. Journal of Neural Engineering, 18(4), 46044. https://doi.org/10.1088/1741-2552/abfa70
Iwane, F. et al. (2021) ‘Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states’, Journal of Neural Engineering, 18(4), p. 046044. Available at: https://doi.org/10.1088/1741-2552/abfa70.
F. Iwane, I. Iturrate, R. Chavarriaga, and J. d. R. Millán, “Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states,” Journal of Neural Engineering, vol. 18, no. 4, p. 046044, 2021, doi: 10.1088/1741-2552/abfa70.
IWANE, Fumiaki, Iñaki ITURRATE, Ricardo CHAVARRIAGA und José del R. MILLÁN, 2021. Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states. Journal of Neural Engineering. 2021. Bd. 18, Nr. 4, S. 046044. DOI 10.1088/1741-2552/abfa70
Iwane, Fumiaki, Iñaki Iturrate, Ricardo Chavarriaga, and José del R. Millán. 2021. “Invariability of EEG Error-Related Potentials during Continuous Feedback Protocols Elicited by Erroneous Actions at Predicted or Unpredicted States.” Journal of Neural Engineering 18 (4): 46044. https://doi.org/10.1088/1741-2552/abfa70.
Iwane, Fumiaki, et al. “Invariability of EEG Error-Related Potentials during Continuous Feedback Protocols Elicited by Erroneous Actions at Predicted or Unpredicted States.” Journal of Neural Engineering, vol. 18, no. 4, 2021, p. 46044, https://doi.org/10.1088/1741-2552/abfa70.


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