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Related Experiment Video

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Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

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Published on: June 21, 2022

Phase transitions enable computational universality in neuristor-based cellular automata.

Matthew D Pickett¹, R Stanley Williams

¹Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304, USA.

|September 4, 2013

Summary

Mott memristors can form neuristors, enabling Boolean logic and universal computation in simulations. This demonstrates localized phase transitions for spiking computation in neuromorphic hardware.

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Area of Science:

Materials Science
Computational Neuroscience
Computer Engineering

Background:

Mott memristors exhibit threshold switching through insulator-to-conductor phase transitions.
Neuristors are biomimetic devices that mimic neural spiking behavior.

Purpose of the Study:

To demonstrate neuristor-based circuits for Boolean logic operations using Mott memristors.
To construct a universal one-dimensional cellular automaton using these neuristor components.

Main Methods:

Simulations of neuristor-based circuits.
Implementation of Mott memristor phase transition dynamics.

Main Results:

Successfully designed circuits capable of general Boolean logic.
Constructed a one-dimensional cellular automaton (rule 137), a proven universal computation model.
Proof-of-principle demonstration of spiking computation using localized phase transitions.

Conclusions:

Mott memristors are viable components for building neuristors.
Neuristor circuits can perform complex computational tasks, including universal computation.
Localized phase transitions offer a promising pathway for developing novel neuromorphic hardware.