Perovskite Quantum Organismoids

TL;DR

This paper demonstrates habituation-like plasticity in a perovskite quantum system, revealing a new approach to artificial learning that enhances cognitive system capabilities through reversible dopant modulation.

Contribution

It introduces a novel form of habituation-based plasticity in perovskite quantum materials and develops a new learning algorithm inspired by this phenomenon.

Findings

Habituation behavior observed in perovskite quantum systems.

A new learning algorithm incorporating habituation effects.

Enhanced artificial cognitive system performance.

Abstract

A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making1-3. This behavior, known as habituation, is universal among forms of life with a central nervous system, and interestingly observed even in single cellular organisms that do not possess a brain4-5. Here, we report the discovery of habituation based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization via reversible dopant incorporation. Microscopic mechanisms and pathways that enable this organismic collective charge-lattice interaction are elucidated by a combination of first-principles theory, synchrotron investigations, ab-initio dynamical simulations and in-situ environmental breathing studies. We implement a new learning algorithm inspired from the conductance relaxation behavior of perovskites that naturally incorporates habituation and demonstrate "learning to forget": a key feature of animal and human brains6. Most surprisingly, our results show that incorporating this elementary skill in learning dramatically boosts the capability of artificial cognitive systems.