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基于习惯化的量子钙钛矿中的突触可塑性与机体学习

Habituation based synaptic plasticity and organismic learning in a quantum perovskite.

作者信息

Zuo Fan, Panda Priyadarshini, Kotiuga Michele, Li Jiarui, Kang Mingu, Mazzoli Claudio, Zhou Hua, Barbour Andi, Wilkins Stuart, Narayanan Badri, Cherukara Mathew, Zhang Zhen, Sankaranarayanan Subramanian K R S, Comin Riccardo, Rabe Karin M, Roy Kaushik, Ramanathan Shriram

机构信息

School of Materials Engineering, Purdue University, West Lafayette, Indiana, 47907, USA.

School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, 47907, USA.

出版信息

Nat Commun. 2017 Aug 14;8(1):240. doi: 10.1038/s41467-017-00248-6.

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.Habituation is a learning mechanism that enables control over forgetting and learning. Zuo, Panda et al., demonstrate adaptive synaptic plasticity in SmNiO perovskites to address catastrophic forgetting in a dynamic learning environment via hydrogen-induced electron localization.

摘要

生物的一个核心特征是能够从环境中学习并对其做出反应,从而形成习惯和进行决策。这种行为,即习惯化,在所有具有中枢神经系统的生命形式中普遍存在,在没有大脑的单细胞生物中也能观察到。在此,我们报告了利用钙钛矿量子系统通过电子定位的动态调制发现基于习惯化的可塑性。通过第一性原理理论、同步加速器研究、从头算分子动力学模拟和原位环境呼吸研究,阐明了实现这种生物集体电荷-晶格相互作用的微观机制和途径。我们实现了一种受钙钛矿电导弛豫行为启发的学习算法,该算法自然地融入了习惯化,并展示了学习遗忘:这是动物和人类大脑的一个关键特征。在学习中融入这种基本技能可提高顺序动态环境中神经计算的能力。习惯化是一种学习机制,能够控制遗忘和学习。左、潘达等人证明了SmNiO钙钛矿中的自适应突触可塑性,以通过氢诱导的电子定位解决动态学习环境中的灾难性遗忘问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec38/5556077/812b852a1291/41467_2017_248_Fig1_HTML.jpg

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