LabCompass

Afagh Farhadi

Neuroscience · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

20

Citations

72

Est. group size

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Afagh Farhadi builds computational models of how the auditory system processes sound, focusing on the inner ear (cochlea) and brainstem/midbrain pathways, including how the brain's feedback ('efferent') signals adjust the ear's sensitivity to sound level and background noise. This work aims to explain phenomena like forward masking, noise interference, and hearing loss effects using simulations compared against physiological and perceptual data. The research is intended to improve understanding of hearing difficulties, including age-related and noise-induced hearing loss.

Computational models of the auditory systemCochlear gain control and efferent feedbackForward masking and noise interference in hearingEffects of aging and hearing loss on sound perceptionAuditory nerve and midbrain (inferior colliculus) signal processing

Publication output has grown steadily over the last decade, rising from no publications in the late 2010s to a consistent output of 3-5 papers per year since 2022.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
17182019: 1 publication19202021: 1 publication212022: 3 publications222023: 4 publications232024: 4 publications242025: 5 publications5252026: 2 publications26
Recent publications
Publishes in
  • The Journal of the Acoustical Society of America×10
  • bioRxiv (Cold Spring Harbor Laboratory)×7
  • eNeuro×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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