Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Auditory stimulus-response modeling with a Match-Mismatch task

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Transducer modeling for accurate acoustic simulations of transcranial focused ultrasound stimulation

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Frequency of different subtypes of cervical dystonia: a prospective multicenter study according to Col-Cap concept

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Electric field simulations for transcranial brain stimulation using FEM: an efficient implementation and error analysis

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Effects of sensorineural hearing loss on cortical synchronization to competing speech during selective attention

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Cortical oscillations and entrainment in speech processing during working memory load

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Multiway canonical correlation analysis of brain data

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  5. A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

Objective.An auditory stimulus can be related to the brain response that it evokes by a stimulus-response model fit to the data. This offers insight into perceptual processes within the brain and is also of potential use for devices such as brain computer interfaces (BCIs). The quality of the model can be quantified by measuring the fit with a regression problem, or by applying it to a classification task and measuring its performance. Approach.Here we focus on a match-mismatch(MM) task that entails deciding whether a segment of brain signal matches, via a model, the auditory stimulus that evoked it. Main results. Using these metrics, we describe a range of models of increasing complexity that we compare to methods in the literature, showing state-of-the-art performance. We document in detail one particular implementation, calibrated on a publicly-available database, that can serve as a robust reference to evaluate future developments. Significance.The MM task allows stimulus-response models to be evaluated in the limit of very high model accuracy, making it an attractive alternative to the more commonly used task of auditory attention detection. The MM task does not require class labels, so it is immune to mislabeling, and it is applicable to data recorded in listening scenarios with only one sound source, thus it is cheap to obtain large quantities of training and testing data. Performance metrics from this task, associated with regression accuracy, provide complementary insights into the relation between stimulus and response, as well as information about discriminatory power directly applicable to BCI applications.

OriginalsprogEngelsk
TidsskriftJournal of Neural Engineering
Vol/bind18
Udgave nummer4
ISSN1741-2560
DOI
StatusUdgivet - 4 maj 2021

ID: 64828996