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Sensory Information Processing Lab
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A sensory information processing lab that explores the mechanisms of hearing and vision through theory and computation.
AboutAbout the lab
Exploring how hearing and vision process information.
The Sensory Information Processing Lab studies, from theoretical and computational perspectives, how the sensory systems process information.
Its research rests on two pillars: diagnosing hearing and vision problems using algorithms, machine learning, and AI, and the theory and models of the information carried by neurons.
On its homepage, the lab presents as "known results" an inequality that holds for the responses of sensory neurons and a Bayesian method for determining multiple thresholds simultaneously.
Assistant Professor Haruna Fujihira studies hidden hearing loss and auditory training, among other topics, through physiological measurements of hearing.
Key terms
- Hidden hearing loss
- Hearing trouble that is hard to detect in hearing test results. Its relationship to synaptic damage in the cochlea is being investigated.
- Auditory brainstem response
- The electrical response generated in the brainstem and other regions when a sound is presented, recorded from the surface of the head.
- Bayesian method
- A method that combines what is already known with newly obtained data to estimate unknown values in terms of probability.
ResearchResearch themes
The lab approaches neuroscience and engineering from both theoretical and computational sides. It conducts research on diagnosing hearing and vision problems with algorithms, machine learning, and AI, as well as on the theory and models of the information that neurons carry.
*Illustrative imageDiagnosing Hearing and Vision Problems
The lab aims to detect, monitor, and diagnose hearing and vision problems using algorithms, machine learning, and AI.
*Illustrative imageTheory and Models of Neural Information
The lab develops theories of the information carried by neurons, builds models of how neurons produce electrical signals (firing), and studies their applications.
*Illustrative imageEvaluating Hidden Hearing Loss
This research uses the auditory brainstem response to evaluate hidden hearing loss, focusing on responses originating from the cochlear nerve. It also examines the responses of young people, who are often exposed to loud sounds.
*Illustrative imageDeveloping Auditory Training Systems
As a way to ease difficulty with hearing, the lab is developing an auditory training system aimed at comfortable hearing, and verifying the effects of the training.
MembersFaculty
- ProfessorWilly Wong
- Assistant ProfessorHaruna Fujihira
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Auditory System” This work by Cenveo is licensed under a Creative Commons Attribution 3.0 United States (https://creativecommons.org/licenses/by/3.0/us/). / CC BY 3.0 (cropped)
- Diagnosing Hearing and Vision Problems: “Hearing Test Booth ( )” Ross Dunn / CC BY-SA 2.0 (cropped)
- Theory and Models of Neural Information: “Neural crest” Denize Ezaki / CC BY-SA 4.0 (cropped)
- Evaluating Hidden Hearing Loss: “HearingExam” Flávia Costa / CC BY 3.0 (cropped)
- Developing Auditory Training Systems: “Bose QuietComfort 25 Acoustic Noise Cancelling Headphones with Carry Case” Florian Fuchs / CC BY-SA 3.0 (cropped)
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