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Hojae Lee

Hojae Lee

AI Researcher | Reverse Engineering the Neocortex for Intelligence


I’m an AI researcher at the Thousand Brains Project , an open-source initiative reverse engineering the neocortex to revolutionize artificial intelligence. I contribute to both theoretical development of cortical algorithms and Monty , our sensorimotor learning framework that implements brain-inspired computational principles.

Previously, I developed MorphNet at University of Michigan - a generative model combining GANs and diffusion techniques to predict neuron morphology from single-cell RNA-seq data, advancing our understanding of brain structure-function relationships.

I hold a Ph.D. in EECS from University of Michigan and B.S. in Bioengineering from UC Berkeley. This site documents my exploration of intelligence at the intersection of brains and machines.

Recent

Steven's Power Law
·342 words·2 mins
Neuroscience Perception Psychophysics Sensory-Processing Stevens-Law
Exploring how Stevens’s Power Law mathematically describes our subjective perception of sensory stimuli, from brightness to pain, and why different senses compress or amplify physical intensity in predictable ways.