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Sensory Information Processing Lab
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A neuroscience lab that explores how the senses work through mathematics and computation.
AboutAbout the lab
Solving how the senses work with mathematics and computation.
The Sensory Information Processing Lab conducts research spanning neuroscience and engineering from a theoretical and computational standpoint.
One line of research uses algorithms, machine learning, and AI to detect, track, and diagnose problems in hearing and vision.
The other pillar is research on theories of the information that neurons handle, and on building and applying spiking neuron models.
Key terms
- Spiking neuron model
- A mathematical model that describes, in equations, how a neuron produces electrical signals
- Machine learning
- A computational approach that finds rules in large amounts of data and uses them for judgment and prediction
- Algorithm
- A computational procedure for solving a problem, specified step by step
ResearchResearch themes
The lab studies the information processing of the neurons that govern the senses, from both theoretical and computational angles. Its two research pillars are methods for diagnosing hearing and vision problems, and theory of neural information.
*Illustrative imageDiagnostic Methods for Sensory Disorders
The lab researches methods that use algorithms, machine learning, and AI to detect, track, and diagnose hearing and vision problems.
*Illustrative imageTheory of Neural Information and Spiking Neuron Models
The lab develops theories about the information that neurons handle. It also develops and applies spiking neuron models.
MembersFaculty
- ProfessorWilly Wong
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: “Structure of sensory system (4 models) E” Shigeru23 / CC BY-SA 3.0 (cropped)
- Diagnostic Methods for Sensory Disorders: “A hearing test machine” Onwuka Glory / CC0 (cropped)
- Theory of Neural Information and Spiking Neuron Models: “Workshop on Stochastic Modelling of Neural Nets and Spike Sorting 17” MGromov / CC BY-SA 4.0 (cropped)
- Related lab (Natural Language Processing Lab): “Search Engine Results Page (SERP) Graphic Illustration” Muhammad Rafizeldi / CC BY 4.0 (cropped)
- Related lab (Multi-Agent Lab): “Agreement-between-TCO-and-SACO” Unknown photographer / Public domain (cropped)
- Related lab (Cognitive Science Lab): “Driving car on a road” Tenasan / CC BY-SA 4.0 (cropped)
- Related lab (Machine Learning, Data Mining, and AI Lab): “Bristol robotics laboratory ( )” Anders Sandberg from Oxford, UK / CC BY 2.0 (cropped)
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