TY - JOUR
T1 - Habituation based synaptic plasticity and organismic learning in a quantum perovskite
AU - Zuo, Fan
AU - Panda, Priyadarshini
AU - Kotiuga, Michele
AU - Li, Jiarui
AU - Kang, Mingu
AU - Mazzoli, Claudio
AU - Zhou, Hua
AU - Barbour, Andi
AU - Wilkins, Stuart
AU - Narayanan, Badri
AU - Cherukara, Mathew
AU - Zhang, Zhen
AU - Sankaranarayanan, Subramanian K.R.S.
AU - Comin, Riccardo
AU - Rabe, Karin M.
AU - Roy, Kaushik
AU - Ramanathan, Shriram
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85027493753
U2 - 10.1038/s41467-017-00248-6
DO - 10.1038/s41467-017-00248-6
M3 - 文章
C2 - 28808316
AN - SCOPUS:85027493753
SN - 2041-1723
VL - 8
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 240
ER -