Jonathan Williford, Ph.D.
Exploring the mechanisms of natural and artificial intelligence.
Areas of Expertise
Neuroscience
Dissertation in the border-ownership coding in natural scenes in primates. Connecting deep learning models and neuroscience.
Deep Learning & AI
Object detection, segmentation, classification, and tracking, face recognition, and explainable AI. Using supervised and self-supervised learning for training and fine-tuning of neural networks.
Computer Vision
Experienced with classical computer vision before AlexNet, which inspired me to pursue a PhD in Neuroscience to progress our understanding of the visual system.
Academic Publications
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Modulatory feedback explain object segmentation by attention
Authors: Papale, P., Williford, J. R., Balk, S., & Roelfsema, P. R.
Preprint at bio-Rxiv | 2023
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Explainable face recognition
Authors: Williford, J. R., May, B. B., & Byrne, J.
European Conference on Computer Vision (ECCV), Springer | 2020
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Figure-ground organization in visual cortex for natural scenes
Authors: Williford, J. R., & Von Der Heydt, R.
eNeuro, Society for Neuroscience, Vol. 3(6) | 2016
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Border-ownership coding
Authors: Williford, J. R., & von der Heydt, R.
Scholarpedia journal, Vol. 8(10) | 2013
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Spatial multimodal mean background model for real-time MTI
Authors: Williford, J., Dalal, C., & Shim, M.
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII (SPIE), Vol. 7338 | 2009
Selected Projects
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neural.vision
Personal space for commentary on recent breakthroughs in AI and neuroscience.