Michaelt (at) oslomet.no | M (at) Tarlton.info | LinkedIn | GitHub | Twitter | Subscribe to RSS
Hi, I’m Mike! I’m a Neuro-AI researcher and PhD candidate based out of Oslo Metropolitan University. This is is my personal webpage, but I am slowly transitioning it into a repository for information surrounding Neuro-AI. Subscribe to my blog here or to my RSS feed.
If you are reaching this from the IEEE NER 2025 Conference you can find more about my submission here. Otherwise check out my work and various projects below.
I’m currently searching for a new position, and would like to join a research project aimed at building neuroscience based AI and neuromorphic hardware design. Please contact me at any of the methods above if you think I might be the right person for you team.
IEEE NER 2025 Submission: Investigation of Novel SBF-Automata Architecture for Periodicity Finding Solutions at Edge Systems
As mentioned above, I’m a PhD candidate at Oslo Metropolitan University, where I am currently researching neuroscience inspired AI and related topics. Specifically I am designing new models of learning for deep spiking neural networks, ideally for use in neuromorphics and edge hardware. My current research studies how time dynamics emerge from the spike timing plasticity of individual neurons.
I have a background in systems neuroscience, statistical physics, and computational mathematics. My focus is studying the mechanisms of the human brain, and the fundamental dynamics of information and energy. I’m currently pursuing the emerging field of neuroscience based AI models and AI-specific design for low-energy edge hardware. My aim is to create novel learning methods for spiking neural networks and physics-based models for the next generation of machine learning. Read my entire CV here.
I am slowly porting my research knowledge base here, and will be publishing things to my blog once I figure that out, so subscribe here or follow me via my RSS feed.