1. Habituation based synaptic plasticity and organismic learning in a quantum perovskite
- Author
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Zhen Zhang, Karin M. Rabe, Priyadarshini Panda, Andi Barbour, Subramanian K. R. S. Sankaranarayanan, Mingu Kang, Jiarui Li, Kaushik Roy, Badri Narayanan, Stuart Wilkins, Shriram Ramanathan, Hua Zhou, Claudio Mazzoli, Fan Zuo, Riccardo Comin, Mathew J. Cherukara, Michele Kotiuga, Massachusetts Institute of Technology. Department of Physics, Li, Jiarui, Kang, Mingu, and Comin, Riccardo
- Subjects
Multidisciplinary ,Forgetting ,Artificial neural network ,Mechanism (biology) ,Science ,General Physics and Astronomy ,02 engineering and technology ,General Chemistry ,Biology ,021001 nanoscience & nanotechnology ,Bioinformatics ,01 natural sciences ,General Biochemistry, Genetics and Molecular Biology ,Article ,0103 physical sciences ,Synaptic plasticity ,Quantum system ,Feature (machine learning) ,Habituation ,010306 general physics ,0210 nano-technology ,Neuroscience ,Quantum - 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., United States. Army Research Office (Grant W911NF-16-1-0289), United States. Air Force Office of Scientific Research (Grant FA9550-16-1-0159), United States. Army Research Office (Grant W911NF-16-1-0042)
- Published
- 2017