For my graduate studies, I investigated how the brain uses context, such as prior knowledge, to enhance the comprehension of speech in challenging situations. The studies that made up my dissertation included primarily functional magnetic resonance imaging (fMRI) and psychophysical methods. My research interests include fMRI analysis techniques (such as functional and effective connectivity, and multivariate pattern analysis), real time DSP algorithms, and batch scripting any tedious task I might have to perform more than once.
Qualifications
Ph.D. Neuroscience, Queen’s University, 2008-2012
B.A.Sc. Electrical Engineering, Queen’s University, 2004
Contact
conorwild@gmail.com
cwild@uwo.ca
Publications
- Conor J Wild, Afiqah Yusuf, Daryl E Wilson, Jonathan E Peelle, Matt H Davis, Ingrid S Johnsrude (2012) Effortful listening: the processing of degraded speech depends critically on attention. Journal of Neuroscience. 32 (40): 14010-14021
- Conor J Wild, Matthew H Davis, Ingrid S Johnsrude (2012) Human auditory cortex is sensitive to the perceived clarity of speech., 1490-1502. In NeuroImage 60 (2).
- Amir M Tahmasebi, Matthew H Davis, Conor J Wild et al. (2011) Is the Link between Anatomical Structure and Function Equally Strong at All Cognitive Levels of Processing?, 1-11. In Cerebral cortex.
- Amir M Tahmasebi, Purang Abolmesumi, Conor Wild et al. (2010) A validation framework for probabilistic maps using Heschl’s gyrus as a model., 532-44. In NeuroImage 50 (2).
- Zane Z Zheng, Conor Wild, Heather P Trang (2010) Spatial organization of neurons in the superior temporal sulcus., 1201-3. In The Journal of neuroscience : the official journal of the Society for Neuroscience 30 (4).
- Amir M Tahmasebi, Purang Abolmaesumi, Conor Wild et al. (2009) Quantification of Inter-subject Variability in Human Brain : A Validation Framework for Probabilistic Maps. In Proceedings of SPIE: Medical Imaging, Biomedical Applications in Molecular, Structural, and Functional Imaging.
- Amir M Tahmasebi, I S Johnsrude, CJ Wild et al. (2008) A Statistical Atlas-based Technique for Automatic Segmentation of the First Heschl ’ s Gyrus in Human Auditory Cortex from MR Images, 3920-3923. In IEEE Engineering in Medicine and Biology Society Conference.