Satyabrata Parida
Neuroscience · Purdue University West Lafayette
Publications
30
Citations
100
Est. group size
~1
Recurring co-author estimate
Active years
13
Publishing since 2014
Satyabrata Parida studies how the auditory system in the brain processes sound, including how neural circuits encode acoustic information, how hearing loss and noise exposure degrade this processing, and how computational models (such as convolutional neural networks) can describe auditory cortex activity. Work spans animal models (chinchilla, guinea pig) and human studies, addressing topics like tinnitus, age-related hearing decline, and sound categorization. This research is relevant to understanding hearing impairment and developing better diagnostic tools for auditory processing problems.
Publication output has grown from occasional single papers earlier in the decade to a steadier pace of roughly 3-4 publications per year since 2022.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex -- Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex
Nature Neuroscience · 2026
- Behavioral Evidence of Blast-induced Tinnitus in Chinchilla using Preyer Reflex.
2025
- Degraded neural coding of temporal fine structure with age predicts effortful listening in multi-talker environments
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Noise-induced hearing loss degrades auditory cortical manifold
The Journal of the Acoustical Society of America · 2025
- Rapid and objective assessment of auditory temporal processing using dynamic amplitude-modulated stimuli
Communications Biology · 2024
- Rapid and objective assessment of auditory temporal processing using dynamic amplitude-modulated stimuli
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Quantitative models of auditory cortical processing
Hearing Research · 2023
- Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model
Communications Biology · 2023
- The portrayal of hearing loss information in online Mandarin videos
Journal of Otology · 2023
- Vocalization categorization behavior explained by a feature-based auditory categorization model
eLife · 2022
- Updates to the guinea pig animal model for in-vivo auditory neuroscience in the low-frequency hearing range
Hearing Research · 2022
- Vocalization categorization behavior explained by a feature-based auditory categorization model
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- bioRxiv (Cold Spring Harbor Laboratory)×9
- Hearing Research×3
- The Journal of the Acoustical Society of America×3
- Communications Biology×2
- Journal of the Association for Research in Otolaryngology×2
- Edward L. Bartlett
Neuroscience · Purdue University West Lafayette
- Aravindakshan Parthasarathy
Neuroscience · Purdue University West Lafayette
- Shuman He
Neuroscience · The Ohio State University
- Afagh Farhadi
Neuroscience · Purdue University West Lafayette
- Michael G. Heinz
Neuroscience · Purdue University West Lafayette
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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