Habituation based synaptic plasticity and organismic learning in a quantum perovskite
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s41467-017-00248-6.pdf
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2.23 MB
Format
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Checksum (MD5)
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Author(s)
Zuo, Fan
Panda, Priyadarshini
Kotiuga, Michele
Mazzoli, Claudio
Zhou, Hua
Barbour, Andi
Wilkins, Stuart
Narayanan, Badri
Cherukara, Mathew
Zhang, Zhen
Date Issued
August 2017
Journal
Nature Communications
Publisher
Nature Publishing Group
Citation
Zuo, Fan et al. “Habituation Based Synaptic Plasticity and Organismic Learning in a Quantum Perovskite.” Nature Communications 8, 1 (August 2017): 240 © 2017 The Author(s)
Version
Final published version
Abstract
A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a central nervous system, and is also observed in single-cell organisms that do not possess a brain. Here, we report the discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization. Microscopic mechanisms and pathways that enable this organismic collective charge-lattice interaction are elucidated by first-principles theory, synchrotron investigations, ab initio molecular dynamics simulations, and in situ environmental breathing studies. We implement a learning algorithm inspired by the conductance relaxation behavior of perovskites that naturally incorporates habituation, and demonstrate learning to forget: A key feature of animal and human brains. Incorporating this elementary skill in learning boosts the capability of neural computing in a sequential, dynamic environment.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.1038/S41467-017-00248-6
