Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics

Sensory information processing in robots relies on a centralized approach with issues of wiring, fault-tolerance and latency. Here, the authors report a decentralized neuromorphic approach with self-healable memristive elements enabling intelligent sensations in a prototypical robotic nervous system...

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Autores principales:	Rohit Abraham John, Naveen Tiwari, Muhammad Iszaki Bin Patdillah, Mohit Rameshchandra Kulkarni, Nidhi Tiwari, Joydeep Basu, Sumon Kumar Bose, Ankit, Chan Jun Yu, Amoolya Nirmal, Sujaya Kumar Vishwanath, Chiara Bartolozzi, Arindam Basu, Nripan Mathews
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/48dfbd073d654c308d946376094bffd7
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spelling	oai:doaj.org-article:48dfbd073d654c308d946376094bffd72021-12-02T16:28:52ZSelf healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics10.1038/s41467-020-17870-62041-1723https://doaj.org/article/48dfbd073d654c308d946376094bffd72020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17870-6https://doaj.org/toc/2041-1723Sensory information processing in robots relies on a centralized approach with issues of wiring, fault-tolerance and latency. Here, the authors report a decentralized neuromorphic approach with self-healable memristive elements enabling intelligent sensations in a prototypical robotic nervous system.Rohit Abraham JohnNaveen TiwariMuhammad Iszaki Bin PatdillahMohit Rameshchandra KulkarniNidhi TiwariJoydeep BasuSumon Kumar BoseAnkitChan Jun YuAmoolya NirmalSujaya Kumar VishwanathChiara BartolozziArindam BasuNripan MathewsNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Rohit Abraham John Naveen Tiwari Muhammad Iszaki Bin Patdillah Mohit Rameshchandra Kulkarni Nidhi Tiwari Joydeep Basu Sumon Kumar Bose Ankit Chan Jun Yu Amoolya Nirmal Sujaya Kumar Vishwanath Chiara Bartolozzi Arindam Basu Nripan Mathews Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
description	Sensory information processing in robots relies on a centralized approach with issues of wiring, fault-tolerance and latency. Here, the authors report a decentralized neuromorphic approach with self-healable memristive elements enabling intelligent sensations in a prototypical robotic nervous system.
format	article
author	Rohit Abraham John Naveen Tiwari Muhammad Iszaki Bin Patdillah Mohit Rameshchandra Kulkarni Nidhi Tiwari Joydeep Basu Sumon Kumar Bose Ankit Chan Jun Yu Amoolya Nirmal Sujaya Kumar Vishwanath Chiara Bartolozzi Arindam Basu Nripan Mathews
author_facet	Rohit Abraham John Naveen Tiwari Muhammad Iszaki Bin Patdillah Mohit Rameshchandra Kulkarni Nidhi Tiwari Joydeep Basu Sumon Kumar Bose Ankit Chan Jun Yu Amoolya Nirmal Sujaya Kumar Vishwanath Chiara Bartolozzi Arindam Basu Nripan Mathews
author_sort	Rohit Abraham John
title	Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
title_short	Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
title_full	Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
title_fullStr	Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
title_full_unstemmed	Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
title_sort	self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/48dfbd073d654c308d946376094bffd7
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Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics

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