Christopher DiMattina

Affiliations: 
Florida Gulf Coast University, Fort Myers, FL, United States 
Area:
Vision Science, Computational Neuroscience
Google:
"Christopher DiMattina"
Mean distance: 13.33 (cluster 17)
 
SNBCP

Parents

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Xiaoqin Wang grad student Johns Hopkins
Kechen Zhang grad student 2009 Johns Hopkins
 (Neural network analysis of sensory processing and active data collection.)
Michael S. Lewicki post-doc Case Western
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Publications

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DiMattina C, Pipitone RN, Renteria MR, et al. (2024) Trypophobia, skin disease, and the visual discomfort of natural textures. Scientific Reports. 14: 5050
DiMattina C, Burnham JJ, Guner BN, et al. (2022) Distinguishing shadows from surface boundaries using local achromatic cues. Plos Computational Biology. 18: e1010473
Pipitone RN, DiMattina C, Martin ER, et al. (2022) Evaluating the 'skin disease-avoidance' and 'dangerous animal' frameworks for understanding trypophobia. Cognition & Emotion. 1-14
DiMattina C. (2022) Luminance texture boundaries and luminance step boundaries are segmented using different mechanisms. Vision Research. 190: 107968
DiMattina C, Baker CL. (2021) Segmenting surface boundaries using luminance cues. Scientific Reports. 11: 10074
Pipitone RN, DiMattina C. (2020) Object Clusters or Spectral Energy? Assessing the Relative Contributions of Image Phase and Amplitude Spectra to Trypophobia. Frontiers in Psychology. 11: 1847
DiMattina C, Baker CL. (2019) Modeling second-order boundary perception: A machine learning approach. Plos Computational Biology. 15: e1006829
DiMattina C, Baker C. (2018) How texture elements are combined to detect boundaries: A machine learning approach Journal of Vision. 18: 795
DiMattina C. (2016) Comparing models of contrast gain using psychophysical experiments. Journal of Vision. 16: 1
DiMattina C. (2016) Estimating and comparing models of neural encoding and decoding using psychophysical experiments Journal of Vision. 16: 962
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