Associate Professor, Faculty of Science - Psychology Director, Attention Perception and Performance Lab (APPLab) University of Alberta
Edmonton, AB
Email: kmathews@ualberta.ca
Phone: (780) 492-2662
Office: P-455 Bio Science - Psychology Wing
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Kyle E. Mathewson, PhD
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About
I am an Associate Professor of Psychology in the Faculty of Science's Department of Psychology at the University of Alberta. I was previously a Postdoctoral Fellow at the Beckman Institute at the University of Illinois at Urbana-Champaign and in the Department of Psychology at the University of Alberta. I received my PhD in 2011 from the Brain and Cognition Division of the Department of Psychology at the University of Illinois in the Cognitive Neuroimaging Lab of Drs. Monica Fabiani and Gabriele Gratton, with the support of a Post Graduate Scholarship from the Natural Science and Engineering Research Council of Canada. I received my B.A. in Psychology (Honours; First in Graduating Class) from the University of Victoria in 2007, completing my honours thesis in the Learning and Cognitive Control Lab under the supervision of Dr. Clay Holroyd.
Academic Research and Leadership
As Director of the Attention Perception and Performance Lab (APPLab) in the Department of Psychology at the University of Alberta, I lead research in cognitive neuroscience focusing on visual awareness, attention, learning, and memory. Our lab uses cutting-edge approaches combining human behavioral studies, neuroimaging, and electrophysiological recording. We're particularly focused on developing portable, accessible brain-sensing technologies and studying attention in real-world environments. Our work spans from basic research on neural oscillations to applied projects in areas like stroke diagnosis and sports performance.
Industry and Consulting
Beyond academia, I engage in independent consulting work, applying neuroscience and cognitive psychology principles to real-world challenges. My expertise in portable brain-sensing technology and human performance optimization has led to collaborations with various industries and organizations.
Personal Life and Community Involvement
Outside of my academic work, I'm actively involved in the Edmonton community, particularly in youth sports development. I serve as a soccer coach for the Juventus Soccer Club, working with the 2013 Boys T3 team. I'm also an active player myself in the Edmonton and District Soccer Association, combining my passion for sports with community engagement.
I share my life with my wife, Dr. Claire Scavuzzo, who is also at the University of Alberta. Together, we balance our academic careers with family life and various projects. Our children are actively involved in technology and sports - my son is developing his coding skills (visible on his GitHub) and shares his interests through his YouTube channel, while also playing soccer with the Juventus club.
This combination of academic research, industry application, and community involvement allows me to pursue my goal of making neuroscience more accessible and applicable to everyday life, while maintaining a rich and balanced personal life.
Catalogue Preview
Mobile-optimized "app arcade" catalogue featuring all projects with structured entries. Scroll through portrait cards that scale from 2 columns on mobile to 8+ on ultra-wide displays. Each card expands on hover and loads from structured data for future React/Vite experiences.
Brainimation - Live EEG Brain Data Meets Creative Coding An interactive web platform that combines real-time EEG brain data from Muse headsets with P5.js creative coding, enabling anyone to create brain-controlled art and visualizations in real-time.
digitalClock - 3d printed digital clock for esphome and homeassistant
visual-illusions - Can we teach a machine to classify visual illusions and generate new ones?
Muse_LSL_Environments - A set of python environments for running MUSE LSL experiments, record data, visualize, and send markers, using Alex B. muse-lsl
MoralWordEEG - Experiment, Materials, and Analysis code for Moral Word EEG project
muse-js - Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth) (contributor to original)
HNN-AEF - Data and code to replicate the main findings associated with the manuscript “Neural Mechanisms Underlying Human Auditory Evoked Responses Revealed by Human Neocortical Neurosolver”. (contributor to original)
eeg-notebooks - A collection of classic EEG experiments implemented with Python and Jupyter notebooks (contributor to original)
mne-python - MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python (35 commits ahead)
pycovid - Python package to easily access the most updated Coronavirus data using Python/PIP (contributor to original, 9 commits ahead)
eeg-notebooks_v0.1 - A collection of classic EEG experiments implemented with Python and Jupyter notebooks (130 commits ahead)
react-game-kit - Component library for making games with React & React Native (9 commits ahead)
muse-lsl - Python script to stream EEG data from the muse 2016 headset (1 commits ahead)
ml4a-guides - practical guides, tutorials, and code samples for ml4a (contributor to original, 2 commits ahead)
EEG-Classification - This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data. (18 commits ahead)
face2face-demo - pix2pix demo that learns from facial landmarks and translates this into a face (1 commits ahead)
IllumiStack - 3D printing web app for creating multi-color prints using stacked layers and color mixing algorithms
webcamHR - Real-time heart rate detection from webcam using computer vision and signal processing in P5.js
cross_colour - Interactive demonstration of illusory colors created by overlaying crosshatch patterns on grayscale images
necker_move - Animated Necker cube optical illusion with interactive controls for studying visual perception
hueforge-at-home - JavaScript implementation of color mixing algorithms for multi-material 3D printing using P5.js
WhisperingPines - Webcam-responsive audiovisual art installation combining computer vision with generative audio
faceoff - Interactive exploration of latent GAN space using brain signals for navigating generated face landscapes
Apparition - Real-time video puppetry system using pix2pix neural networks trained on historical video footage
Juventus 2013 Boys - Team website for youth soccer club featuring schedules, statistics, and team information
Long Form Catalogue
Feature-length essays, zines, and interactive writing experiments from dedicated repositories.
Long Form Writing
Essays and extended analyses exploring the intersection of science, society, and innovation.
The Exile Engine: How Society Manufactures Genius Through Outcasting (2025) - An analysis of the exile-innovation pattern from Moses to Steve Mann, examining why society's 95% rejection rate for radical ideas isn't broken—it's the feature that prevents system collapse. 4,967 words
Fungio Ergo Sum - Interactive exploration of consciousness, identity, and existence through the lens of fungal networks and distributed cognition.
Our foundational work investigates the neural mechanisms underlying conscious visual perception. Through pioneering studies of alpha oscillations (8-12 Hz brain rhythms), we discovered that consciousness operates not as a continuous stream but as discrete pulses—what we call "pulsed inhibition." This work reveals how brain rhythms gate access to awareness, explaining why we sometimes see and sometimes miss the same stimulus.
Core Discoveries: The Rhythmic Nature of Consciousness
Our most-cited research established that the phase and power of alpha oscillations predict whether we perceive visual stimuli. By entraining these rhythms with flickering lights, we can create predictable fluctuations in awareness—demonstrating causal control over consciousness itself. This work has fundamentally shaped our understanding of attention, perception, and the neural basis of subjective experience.
Building on these foundational discoveries, the Attention Perception and Performance Lab follows a strategic four-stage approach to democratize neuroscience through pervasive, accessible brain sensing technology. Our goal: develop robust, portable systems that can help everyone understand and optimize their cognitive performance in real-world environments.
Stage 1: Advanced Measurement Devices
We engineer portable, high-quality neural recording systems that work beyond traditional lab constraints. Our portable EEG platforms enable 3-minute stroke diagnosis, while projects like flexible neural interfaces and MRI-compatible epidermal electronics push toward seamless, comfortable brain monitoring. Future directions: Developing ultra-miniaturized, wireless neural dust and breathable electronic tattoos for continuous, imperceptible brain monitoring.
Our collaboration with materials scientists has pioneered the next generation of wearable neural interfaces. These ultra-thin, breathable electronic systems conform to skin like temporary tattoos while maintaining research-grade signal quality. Unlike rigid electrodes, they enable comfortable, long-term monitoring compatible with advanced imaging (MRI) and real-world activities.
We create open-source software infrastructure that makes brain recording as simple as using a smartphone. Tools like muse-js (Web Bluetooth EEG), EEGEdu (interactive brain playground), and comprehensive analysis libraries (DeepEEG, fooof, pyoptical) democratize access to neurotechnology. Future directions: Real-time AI-powered brain state decoding and personalized cognitive optimization recommendations through everyday devices.
We validate neuroscience findings in natural environments—measuring brain activity during cycling through traffic, skateboarding, basketball shooting, and exploring how environmental factors modulate neural responses. This work reveals which lab findings translate to real life and which require revision. Future directions: Large-scale ecological studies using crowd-sourced brain data to understand cognitive performance across diverse populations and environments.
Beyond clinical and research applications, we explore how brain sensing can enable new forms of creative expression and human-computer interaction. These projects transform neural activity into art, music, and interactive experiences—making the invisible visible and creating intuitive interfaces between mind and machine.
Neural Art & Generative Interfaces
Our creative projects use real-time brain activity to control generative art, navigate AI-generated imagery, and create responsive audiovisual experiences. These tools democratize neurotechnology by making it playful, engaging, and accessible to artists, educators, and the public.
Interactive brain-art platforms:
p5.eegedu - Live coding environment with brain activity as input
p5.eegedu.art - Gallery of brain-controlled generative art
faceoff - Navigate GAN-generated faces using brain signals
Apparition - Video puppetry controlled by neural activity
Visual perception & illusions:
cross_colour - Interactive illusory color demonstrations
We develop tools that bridge digital design with physical creation, enabling novel forms of expression and personalized manufacturing. From voice-controlled 3D printing to color-mixing algorithms, these projects explore how computational creativity can enhance human imagination.
3D printing & fabrication:
IllumiStack - Multi-color 3D printing with stacked transparency layers
Our newest work explores whether machines can understand and generate visual illusions, opening pathways to AI-human cognitive collaboration. We're developing computational methods that combine multivariate pattern analysis with web technologies to create the next generation of brain-computer interfaces that enhance rather than replace human cognition.
PSYCH 275 - Brain and Behavior: An introduction to brain mechanisms involved in sensation, perception, movement, motivation, learning, and cognition, as studied in both humans and lower animals. [YouTube Playlist]
PSYCH 375 - Cognitive Neuroscience: An advanced study of cognitive processes from a neuroscientific perspective, examining how the brain supports functions such as attention, perception, memory, and executive control. [YouTube Playlist 1] | [YouTube Playlist 2]
PSYCH 396, 398, 496, 498 - Independent Research Projects: Supervised independent research projects for undergraduate and graduate students.
Supervision of Masters and Doctoral Students' Theses: Mentoring graduate students through their research projects and thesis completion.
PSYCH 403/505 - Recent Advances in Experimental Psychology / Conference Course in Psychology: Advanced concepts and theories in experimental psychology and emerging research areas. I have taught five versions of this course in various years:
Computer Programming for Psychology 1: Experiment Creation, Presentation, Data Collection
Computer Programming for Psychology 2: Data Analysis, Statistics, and Visualization
Consciousness: Recent Advances and Theories
Advanced Cognitive Neuroscience
Brain Sensing and Stimulation
Course Content Creation Projects:
EEGEdu - Interactive brain playground for learning
Associate Professor (2019-present)
Department of Psychology, Faculty of Science, University of Alberta Director, Attention Perception and Performance Lab (APPLab)
Research focus: Cognitive neuroscience, portable EEG systems, real-world brain monitoring
Assistant Professor (2013-2019)
Department of Psychology, Faculty of Science, University of Alberta Director, Attention Perception and Performance Lab (APPLab)
Established lab, developed portable brain sensing technologies, secured research funding
Postdoctoral Fellow (2011-2013)
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign Supervisors: Drs. Monica Fabiani and Gabriele Gratton
Research on neural oscillations, optical brain imaging, flexible electronics
Postdoctoral Fellow (2011)
Department of Psychology, University of Alberta Supervisor: Dr. Anthony Singhal
Transition position focusing on attention and perception research
Industry & Consulting Experience
Senior Software Engineer (May 2023 - Oct 2023)
Neurosity, San Francisco Bay Area (Remote) 6 months, Permanent Full-time
Skills: Data Science, TypeScript, and 15+ additional technical skills
Focus on neurotechnology software development and brain-computer interface applications
Chief Scientist (Jun 2021 - May 2023)
Blueberry, Toronto, Ontario, Canada 2 years
Skills: Data Science, TypeScript, and 5+ additional skills
Leadership role in scientific research and technology development
Scientific Advisor (Jul 2020 - Jun 2021)
Blueberry, Toronto, Ontario, Canada 1 year
Skills: Neuroscience
Advisory role providing neuroscience expertise and strategic guidance
Independent Consultant (2013-present)
Neuroscience and Cognitive Psychology Applications Applied research consulting for various industries and organizations
Expertise in portable brain-sensing technology and human performance optimization
Industry Collaborations Various projects involving neurotechnology development and validation
Work with companies developing portable EEG systems, brain-computer interfaces, and consumer neurotechnology applications
Community & Leadership
Soccer Coach (2010s-present)
Juventus Soccer Club, Edmonton 2013 Boys T3 team coaching and youth development
Active player in Edmonton and District Soccer Association
Open Source Project Leadership GitHub: @kylemath
Lead developer on EEGEdu, muse-js, DeepEEG, and numerous neuroscience tools
Active contributor to democratizing neuroscience through accessible technology