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Habituation based synaptic plasticity and organismic learning in a quantum perovskite

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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., 2017. "Habituation based synaptic plasticity and organismic learning in a quantum perovskite," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00248-6
    DOI: 10.1038/s41467-017-00248-6
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    Cited by:

    1. Jessica Gracias & Funda Orhan & Elin Hörbeck & Jessica Holmén-Larsson & Neda Khanlarkani & Susmita Malwade & Sravan K. Goparaju & Lilly Schwieler & İlknur Ş. Demirel & Ting Fu & Helena Fatourus-Bergma, 2022. "Cerebrospinal fluid concentration of complement component 4A is increased in first episode schizophrenia," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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