Brain-Inspired Computing
for the Next Generation of AI

About

Hello, I'm Luke Hindman

I am pursuing a Ph.D. in Computing at Boise State University, conducting research in neuromorphic computing under the guidance of Dr. Kurtis Cantley in the ENDS Lab. My work focuses on Spiking Neural Network (SNN) simulation, with a particular emphasis on developing silicon-realizable neural network models and biologically plausible learning algorithms designed for efficient hardware implementation.

Neuromorphic computing isn't just an incremental advance in AI — it's a fundamental rethinking of how machines process information, drawing from the same principles that make biological brains so remarkably efficient. I'm drawn to this field for its potential to reshape computing paradigms in ways reminiscent of the foundational contributions of John von Neumann and Alan Turing, with perhaps a little of Stephen Falken's audacity. ;)

Before beginning my Ph.D., I spent over a decade in industry and have been on the Computer Science faculty at Boise State since 2016. That background shapes one of my core commitments as a researcher: building accessible resources that help newcomers navigate the steep entry curve of this field and make meaningful contributions sooner. The tutorials and videos on this site are part of that effort.