I am a programmer and researcher who wants to make computers smarter. This led me from computer science into neuroscience, where I studied the smartest machine that we know of, and then back into AI, since deep learning was going further than I'd ever expected.

I am excited about LLM-based tools, particularly those that could help us discover the next set of AI architectures.

Current projects

Exploring a complexity-forward approach to automating the "outer loop" of machine learning

Building Vexpr, outerloop, and the Outer Loop Cookbook


(Photo credit: Rosanne Liu, 2023)


Hippocampal Spatial Mapping As Fast Graph Learning
Marcus Lewis
Poster at 30th Annual Computational Neuroscience Meeting (2021)
Efficient and flexible representation of higher-dimensional cognitive variables with grid cells
Mirko Klukas, Marcus Lewis, Ila Fiete
PLOS Computational Biology (2020)
A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex
Jeff Hawkins, Marcus Lewis, Mirko Klukas, Scott Purdy, Subutai Ahmad
Front. Neural Circuits (2019)
Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells
Marcus Lewis, Scott Purdy, Subutai Ahmad, Jeff Hawkins
Front. Neural Circuits (2019)

Other projects, big and small

Using Grid Cells for Coordinate Transforms
Marcus Lewis
Poster, Grid Cell Meeting 2018, UCL, London, England
Grid cells: Visualizing the CAN model
A weekend in April 2017
See HTM run: Stacks of time series
Written while living in hostels. February 2016
A visual running environment for HTM
Collaboration with Felix Andrews. November 2015