Mike's research can be broadly defined as computational approaches to human language and memory, and using cognitive models of human learning to develop better AI-based learning technologies.
My research is generally focused on understanding the computational mechanisms used by the brain to construct knowledge from experience.
Areas of Study
Research Topics
- Computational models of memory and language
- Big data approaches to cognitive science
- Knowledge-based intelligent systems
- Computational synthesis of neuroimaging data
- Artificial intelligence; specifically swarm intelligence
- Statistical methodology for analyzing large-scale data
My research focuses on language learning, comprehension, and knowledge representation in humans and machines.
Subject Area
- Psychological and Brain Sciences
