Chris DiMattina Profile

DiMattina, Chris (Ph.D.)

Professor

Department of Psychology

WH 0215

Perception/Neuroscience

The Computational Perception Laboratory is interested in developing computational models of sensory processing, with an emphasis on mid-level vision problems like texture segmentation and shadow detection. The PI is a member of the Vision Science Society.

Education
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- Ph.D. Neuroscience (Computational), Johns Hopkins University
- B.A. Mathematics and Psychology, Cornell University
Specialties
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- Vision science
- Computational neuroscience
- Cognitive neuroscience
Research and Teaching Interests
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I am a vision scientist and computational neuroscientist who is interested in understanding information processing in biological sensory systems. I also have a longstanding interest in applying various machine learning methods (neural networks, adaptive stimulus optimization) to problems in neuroscience and cognitive science, and supervise student research projects in the broad areas of cognition + perception.
Courses Offered
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- PSB-4002: Brain & Behavior
- EXP-3202: Sensation and Perception
Publications
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Representative Publications
- DiMattina, C., Burnham, J. J., Guner, B. N., & Yerxa, H. B. (2022). Distinguishing shadows from surface boundaries using local achromatic cues. PLoS Computational Biology, 18(9), e1010473.
- DiMattina, C. & Baker, C.L. (2021). Segmenting surface boundaries using luminance cues. Scientific Reports 11: 10074.
- Pipitone, R.N., & DiMattina, C. (2020). Object clusters or spectral energy? Assessing the relative contributions of image phase and amplitude spectra to Trypophobia. Frontiers in Psychology: Perception Science 11: 1847.
- DiMattina, C. & Baker, C.L. (2019). Modeling second-order boundary perception: A machine learning approach. PLoS Computational Biology 15(3): e1006829.)
Grants & Awards
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- NIH Grant NIH-R15-EY032732-01

Editorial Boards

Associate Editor: Frontiers in Psychology: Perception Science
Associate Editor: Frontiers in Neuroscience: Perception Science

Dr. DiMattina's Lab webpage

DiMattina, Chris (Ph.D.)

Editorial Boards

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