Christopher DiMattina
Affiliations: | Florida Gulf Coast University, Fort Myers, FL, United States |
Area:
Vision Science, Computational NeuroscienceGoogle:
"Christopher DiMattina"Mean distance: 13.33 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| 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 | ||
Collaborators
Sign in to add collaborator| Curtis L. Baker | collaborator | 2016- | McGill |
| R. Nathan Pipitone | collaborator | 2018- | Florida Gulf Coast University |
BETA: Related publications
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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 |