MS, Computer Science (AI concentration)
Thesis: “EEG Decoding and Representational Similarity Analysis of Visual Scenes,” advised by Dr. Selena He and Dr. Tim Martin. Focus on RSA, EEG signal processing, and MVPA.
Ian Taylor
Working where psychology meets machine learning. I decode visual experience from brain signals - EEG, representational similarity analysis, and multivariate pattern analysis - to understand how minds, and models, represent the world.
Background
Psychometrist
Administered and scored 2,000+ standardized neuropsychological assessments - WAIS-IV, WISC-IV/V, and KBIT - building a clinician's intuition for how cognition is measured.
2,000+
3
1
Research interests
NeuroAI
Drawing the brain and artificial networks into a shared representational frame.
Brain-computer interfaces
Decoding intent and percept from non-invasive neural signals.
Neuroprosthetics
Closing the loop between neural decoding and assistive control.
Computational neuroscience
Modeling how populations of neurons encode the visual world.
Visual imagery & aphantasia
Why some minds picture and others don’t - and what that reveals about cognition.
Selected writing
Evolutionary Pressures on Mental Imagery, External Symbolic Storage, and Adaptive Accounts of Aphantasia
With Merlin Monzel. An adaptive account of why mental imagery varies across individuals - and how external symbolic storage may relax the selective pressure to picture things internally.
Live paper feed
Recent preprints across cognitive science, computational neuroscience, and AI/ML - the literature I read to stay current. Filter by domain or search across abstracts.