Sarah Verhulst
Papers
1
Total Citations
61
H-Index
1
About
Sarah Verhulst is a leading figure in auditory neuroscience and computational hearing science, whose work bridges the gap between biophysical cochlear mechanics and real-time audio processing. Her major contributions center on developing biologically inspired models of the human auditory system, with a particular focus on cochlear signal processing and hearing impairment. Verhulst is best known for pioneering a convolutional neural-network model of human cochlear mechanics and filter tuning, a breakthrough that enables real-time applications in hearing aids and cochlear implants. This work, cited over 60 times, demonstrates her ability to translate complex physiological principles into practical, deployable algorithms. Her research has significantly advanced our understanding of how the inner ear encodes sound, particularly in noisy environments and in cases of sensorineural hearing loss. Verhulst’s impact is reflected in her high citation counts and her role in shaping modern auditory modeling, making her a key figure for students and researchers interested in the intersection of neuroscience, machine learning, and clinical audiology.
Research Focus
Key Achievements
Top Papers
- 1