Researcher
Sarah Verhulst
- Keywords:sound perception, auditory brain potentials, Computational Auditory Modelling, auditory signal processing, Auditory neuroscience, Hearing Technology, hearing impairment
- Disciplines:Speech, language and hearing sciences not elsewhere classified, Computational biomodelling and machine learning, Otorhinolaryngology not elsewhere classified, Neurophysiology, Biomedical modelling, Audio and speech computing, Modelling and simulation, Biomedical signal processing, Human health engineering, Electrophysiology, Behavioural neuroscience
Affiliations
- Department of Information technology (Department)
Member
From20 Sep 2016 → Today
Projects
1 - 10 of 14
- Mouse, Man, and Machine: Combining Model Systems to Develop a Biomarker for Cochlear Deafferentation in HumansFrom1 Jul 2023 → TodayFunding: Other international institutions, not mentioned elsewhere
- Closed-loop music biofeedback for pervasive effect on humans, grounded in knowledge on embodiment and predictionFrom1 Oct 2022 → TodayFunding: BOF - doctoral mandates
- Precision Hearing Diagnostics and Augmented-hearing TechnologiesFrom1 Aug 2022 → TodayFunding: Horizon Europe - European Innovation Council (EIC)
- The Functional Role of Cochlear Synaptopathy for Speech Coding in the BrainFrom1 Apr 2021 → 31 Mar 2024Funding: FWO research project (including WEAVE projects)
- Machine Hearing 2.0: Biophysically-inspired auditory signal processing for machine-hearing applicationsFrom1 Jan 2021 → TodayFunding: FWO research project (including WEAVE projects)
- Modeling how sensorineural hearing loss affects auditory processing and physiological markers of hearingFrom1 Jan 2021 → TodayFunding: FWO research project (including WEAVE projects)
- Automatic and individualized bio-inspired hearing technologies.From1 Nov 2020 → 15 Jan 2023Funding: FWO Strategic Basic Research Grant
- Unravelling the causes of individual speech-in-noise deficits: disentangling outer hair-cell and inner hair-cell / auditory nerve sourcesFrom1 Oct 2020 → 30 Apr 2022Funding: Other EU initiatives out of framework
- A diagnostic test for cochlear synaptopathy in humansFrom1 Sep 2020 → 28 Feb 2022Funding: H2020 - Frontier Research (ERC)
- Brigham and Women's Hospital and Harvard Medical School Strategic Institutional PartnershipFrom1 Jan 2020 → TodayFunding: BOF - mobility
Publications
21 - 30 of 77
- A convolutional neural-network framework for modelling auditory sensory cells and synapses(2021)
Authors: Fotios Drakopoulos, Deepak Baby, Sarah Verhulst
- Acquired hearing deficits(2021)Edition: 2nd
Authors: Sarah Verhulst, Markus Garrett, Bernd Fritzsch
Pages: 861 - 870 - Towards personalized auditory models : predicting individual sensorineural hearing-loss profiles from recorded human auditory physiology(2021)
Authors: Sarineh Keshishzadeh, Markus Garrett, Sarah Verhulst
- The variability in potential biomarkers for cochlear synaptopathy after recreational noise exposure(2021)
Authors: Tine Vande Maele, Sarineh Keshishzadeh, Hannah Keppler, Sarah Verhulst
Pages: 4964 - 4981 - Test-retest reliability of auditory-evoked potentials(2021)
Authors: Hannah Keppler, Sarah Verhulst
Number of pages: 1 - Individualized cochlear models based on distortion product otoacoustic emissions(2021)
Authors: Sarineh Keshishzadeh, Sarah Verhulst
Pages: 403 - 407 - Enhancing the sensitivity of the envelope-following response for cochlear synaptopathy screening in humans : the role of stimulus envelope(2021)
Authors: Viacheslav Vasilkov, Markus Garrett, Manfred Mauermann, Sarah Verhulst
- Envelope following responses predict speech-in-noise performance in normal-hearing listeners(2021)
Authors: Anita M. Mepani, Sarah Verhulst, Kenneth E. Hancock, Markus Garrett, Viacheslav Vasilkov, Kara Bennett, Victor de Gruttola, M. Charles Liberman, Stéphane F. Maison
Pages: 1213 - 1222 - Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications(2021)Volume: 49
Authors: Sarah Verhulst, Fotios Drakopoulos, Arthur Van Den Broucke, Deepak Baby
Pages: S30 - S31 - Comparison of self-reported questionnaires related to lifetime noise exposure(2021)
Authors: Sofie Degeest, Sarah Verhulst, Hannah Keppler
Number of pages: 1
Patents
1 - 4 of 4
- A CLOSED-LOOP METHOD TO INDIVIDUALIZE NEURAL-NETWORK BASED AUDIO SIGNAL PROCESSING (Inventor)
- METHOD AND SYSTEM FOR DETERMINING THE INTEGRITY OF AUDITORY NERVE FIBERS AND SYNAPSES (Inventor)
- METHOD AND SYSTEM FOR DETERMINING THE INTEGRITY OF AUDITORY NERVE FIBERS AND SYNAPSES (Inventor)
- A neural network model for cochlear mechanics and processing (Inventor)