Literature DB >> 32231432

Implementation of PPI with Nano Amorphous Oxide Semiconductor Devices for Medical Applications.

Mingzhi Dai1, Zhendong Wu1, Shaocheng Qi1, Changhe Huo1, Qiang Zhang1, Xingye Zhang1, Thomas J Webster2, Hengbo Zhang1.   

Abstract

BACKGROUND: Electronic devices which mimic the functionality of biological synapses are a large step to replicate the human brain for neuromorphic computing and for numerous medical research investigations. One of the representative synaptic behaviors is paired-pulse facilitation (PPF). It has been widely investigated because it is regarded to be related to biological memory. However, plasticity behavior is only part of the human brain memory behavior.
METHODS: Here, we present a phenomenon which is opposite to PPF, i.e., paired-pulse inhibition (PPI), in nano oxide devices for the first time. The research here suggests that rather than being enhanced, the phenomena of memory loss would also be possessed by such electronic devices. The device physics mechanism behind memory loss behavior was investigated. This mechanism is sustained by historical memory and degradation manufactured by device trauma to regulate characteristically stimulated origins of artificial transmission behaviors.
RESULTS: Under the trauma of a memory device, both the signal amplitude and signal time stimulated by a pulse are lower than the first signal stimulated by a previous pulse in the PPF, representing a new scenario in the struggle for memory. In this way, more typical human brain behaviors could be simulated, including the effect of age on latency and error generation, cerebellar infarct, trauma and memory loss pharmacological actions (such as those caused by hyoscines and nitrazepam).
CONCLUSION: Thus, this study developed a new approach for implementing the manner in which the brain works in semiconductor devices for improving medical research.
© 2020 Dai et al.

Entities:  

Keywords:  PPI; artificial bio synapses; ion dynamics; memory loss; paired-pulse pulse inhibition

Mesh:

Substances:

Year:  2020        PMID: 32231432      PMCID: PMC7085341          DOI: 10.2147/IJN.S207852

Source DB:  PubMed          Journal:  Int J Nanomedicine        ISSN: 1176-9114


  19 in total

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Authors:  Sanghun Jeon; Seung-Eon Ahn; Ihun Song; Chang Jung Kim; U-In Chung; Eunha Lee; Inkyung Yoo; Arokia Nathan; Sungsik Lee; John Robertson; Kinam Kim
Journal:  Nat Mater       Date:  2012-02-26       Impact factor: 43.841

2.  Ionic/electronic hybrid materials integrated in a synaptic transistor with signal processing and learning functions.

Authors:  Qianxi Lai; Lei Zhang; Zhiyong Li; William F Stickle; R Stanley Williams; Yong Chen
Journal:  Adv Mater       Date:  2010-06-11       Impact factor: 30.849

Review 3.  Synaptic electronics: materials, devices and applications.

Authors:  Duygu Kuzum; Shimeng Yu; H-S Philip Wong
Journal:  Nanotechnology       Date:  2013-09-02       Impact factor: 3.874

4.  Short-term plasticity and long-term potentiation mimicked in single inorganic synapses.

Authors:  Takeo Ohno; Tsuyoshi Hasegawa; Tohru Tsuruoka; Kazuya Terabe; James K Gimzewski; Masakazu Aono
Journal:  Nat Mater       Date:  2011-06-26       Impact factor: 43.841

5.  Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS2 Transistors.

Authors:  Andrew J Arnold; Ali Razavieh; Joseph R Nasr; Daniel S Schulman; Chad M Eichfeld; Saptarshi Das
Journal:  ACS Nano       Date:  2017-03-10       Impact factor: 15.881

6.  Logic circuit function realization by one transistor.

Authors:  Mingzhi Dai; Ning Dai
Journal:  Nano Lett       Date:  2012-10-19       Impact factor: 11.189

7.  A carbon nanotube synapse with dynamic logic and learning.

Authors:  Kyunghyun Kim; Chia-Ling Chen; Quyen Truong; Alex M Shen; Yong Chen
Journal:  Adv Mater       Date:  2012-12-27       Impact factor: 30.849

8.  Carbon Nanotube Synaptic Transistor Network for Pattern Recognition.

Authors:  Sungho Kim; Jinsu Yoon; Hee-Dong Kim; Sung-Jin Choi
Journal:  ACS Appl Mater Interfaces       Date:  2015-11-06       Impact factor: 9.229

9.  Room-temperature fabrication of transparent flexible thin-film transistors using amorphous oxide semiconductors.

Authors:  Kenji Nomura; Hiromichi Ohta; Akihiro Takagi; Toshio Kamiya; Masahiro Hirano; Hideo Hosono
Journal:  Nature       Date:  2004-11-25       Impact factor: 49.962

10.  Realization of tunable artificial synapse and memory based on amorphous oxide semiconductor transistor.

Authors:  Mingzhi Dai; Weiliang Wang; Pengjun Wang; Muhammad Zahir Iqbal; Nasim Annabi; Nasir Amin
Journal:  Sci Rep       Date:  2017-09-08       Impact factor: 4.379

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