Polysilicon-Based Synaptic Transistor and Array Structure for Short/Long-Term Memory.


Journal

Journal of nanoscience and nanotechnology
ISSN: 1533-4880
Titre abrégé: J Nanosci Nanotechnol
Pays: United States
ID NLM: 101088195

Informations de publication

Date de publication:
01 10 2019
Historique:
entrez: 28 4 2019
pubmed: 28 4 2019
medline: 12 6 2021
Statut: ppublish

Résumé

In this paper, we proposed and fabricated a polysilicon-based four-terminal synaptic transistor. The device has an asymmetric dual-gate structure. The top gate, which uses a thin SiO₂ layer as the gate dielectric, is the input terminal of the synaptic transistor, which receives spikes from pre-synaptic neurons. Meanwhile, a nitride trapping layer was inserted between the channel and the bottom gate to serve as a non-volatile memory. The bottom gate is the node that receives the post-neuron feedback signals and adjusts the synaptic weight. With this double-gate structure, the proposed artificial synapse can perform short-/long-term memory operations. In addition to the basic unit cell characteristics, a highly integrated synapse array structure is also proposed. In our array structure, the top gate is tied in the word-line direction to accept the input signal. Drain contacts are also tied in the same direction. With regard to bit-line direction, the source terminals are tied to carry post-synaptic signals and the bottom gate line receives feedback signals from the post-synaptic neurons.

Identifiants

pubmed: 31026909
doi: 10.1166/jnn.2019.17002
doi:

Substances chimiques

Silicon Dioxide 7631-86-9

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6066-6069

Auteurs

Myung-Hyun Baek (MH)

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

Taejin Jang (T)

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

Min-Woo Kwon (MW)

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

Sungmin Hwang (S)

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

Suhyeon Kim (S)

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

Byung-Gook Park (BG)

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

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Classifications MeSH