Literature DB >> 28260370

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

Andrew J Arnold, Ali Razavieh1, Joseph R Nasr, Daniel S Schulman, Chad M Eichfeld, Saptarshi Das.   

Abstract

Neurotransmitter release in chemical synapses is fundamental to diverse brain functions such as motor action, learning, cognition, emotion, perception, and consciousness. Moreover, improper functioning or abnormal release of neurotransmitter is associated with numerous neurological disorders such as epilepsy, sclerosis, schizophrenia, Alzheimer's disease, and Parkinson's disease. We have utilized hysteresis engineering in a back-gated MoS2 field effect transistor (FET) in order to mimic such neurotransmitter release dynamics in chemical synapses. All three essential features, i.e., quantal, stochastic, and excitatory or inhibitory nature of neurotransmitter release, were accurately captured in our experimental demonstration. We also mimicked an important phenomenon called long-term potentiation (LTP), which forms the basis of human memory. Finally, we demonstrated how to engineer the LTP time by operating the MoS2 FET in different regimes. Our findings could provide a critical component toward the design of next-generation smart and intelligent human-like machines and human-machine interfaces.

Entities:  

Keywords:  MoS2 field effect transistor; chemical synapse; gate hysteresis; long-term potentiation; neurotransmitter release

Mesh:

Substances:

Year:  2017        PMID: 28260370     DOI: 10.1021/acsnano.7b00113

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  14 in total

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4.  Gaussian synapses for probabilistic neural networks.

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5.  Broadband and Tunable Light Harvesting in Nanorippled MoS2 Ultrathin Films.

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Journal:  ACS Appl Mater Interfaces       Date:  2021-03-09       Impact factor: 9.229

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Review 7.  Biomedical Implants with Charge-Transfer Monitoring and Regulating Abilities.

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8.  A biomimetic 2D transistor for audiomorphic computing.

Authors:  Sarbashis Das; Akhil Dodda; Saptarshi Das
Journal:  Nat Commun       Date:  2019-08-01       Impact factor: 14.919

9.  ReS2 Charge Trapping Synaptic Device for Face Recognition Application.

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Journal:  Nanoscale Res Lett       Date:  2020-01-03       Impact factor: 4.703

10.  Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition.

Authors:  Seunghwan Seo; Beom-Seok Kang; Je-Jun Lee; Hyo-Jun Ryu; Sungjun Kim; Hyeongjun Kim; Seyong Oh; Jaewoo Shim; Keun Heo; Saeroonter Oh; Jin-Hong Park
Journal:  Nat Commun       Date:  2020-08-07       Impact factor: 14.919

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