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Habituation based synaptic plasticity and organismic learning in a quantum perovskite

  • Fan Zuo
  • , Priyadarshini Panda
  • , Michele Kotiuga
  • , Jiarui Li
  • , Mingu Kang
  • , Claudio Mazzoli
  • , Hua Zhou
  • , Andi Barbour
  • , Stuart Wilkins
  • , Badri Narayanan
  • , Mathew Cherukara
  • , Zhen Zhang
  • , Subramanian K.R.S. Sankaranarayanan
  • , Riccardo Comin
  • , Karin M. Rabe
  • , Kaushik Roy
  • , Shriram Ramanathan
  • Purdue University
  • Rutgers - The State University of New Jersey, New Brunswick
  • Massachusetts Institute of Technology
  • Brookhaven National Laboratory
  • United States Department of Energy
  • Argonne National Laboratory

科研成果: 期刊稿件文章同行评审

97 引用 (Scopus)

摘要

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.

源语言英语
文章编号240
期刊Nature Communications
8
1
DOI
出版状态已出版 - 1 12月 2017
已对外发布

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