Machine Perception and Cognitive Robotics Laboratory

Analog Computing Group

The Analog Computing Group explores unconventional computing using hardware from The Analog Thing — real analog computers running simulated spiking neurons and continuous-signal computation. The direction is hybrid analog-digital systems combining analog hardware with GPU acceleration.

Model Card

The Analog Thing hardware running continuous-signal computation. Simulated spiking neurons on analog substrate. Hybrid architecture connecting analog outputs to GPU for digital post-processing.
Differential equation systems encoded as analog circuit configurations.
Spiking neuron simulations running on real analog hardware. Hybrid analog-digital pipeline demonstrated.
Analog precision limited by component tolerances. Programming requires manual circuit configuration.

Team

William Edward Hahn, Ph.D.

Founder and Co-Principal Investigator (Co-PI)
Associate Professor

[email protected]

Machine Perception and Cognitive Robotics Laboratory