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 () and Shriram Ramanathan ()
Additional contact information
Fan Zuo: Purdue University
Priyadarshini Panda: Purdue University
Michele Kotiuga: Rutgers University
Jiarui Li: Massachusetts Institute of Technology
Mingu Kang: Massachusetts Institute of Technology
Claudio Mazzoli: Brookhaven National Laboratory
Hua Zhou: Argonne National Laboratory
Andi Barbour: Brookhaven National Laboratory
Stuart Wilkins: Brookhaven National Laboratory
Badri Narayanan: Argonne National Laboratory
Mathew Cherukara: Argonne National Laboratory
Zhen Zhang: Purdue University
Subramanian K. R. S. Sankaranarayanan: Argonne National Laboratory
Riccardo Comin: Massachusetts Institute of Technology
Karin M. Rabe: Rutgers University
Kaushik Roy: Purdue University
Shriram Ramanathan: Purdue University

Nature Communications, 2017, vol. 8, issue 1, 1-7

Abstract: 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.

Date: 2017
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DOI: 10.1038/s41467-017-00248-6

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