Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses. (5th February 2020)
- Record Type:
- Journal Article
- Title:
- Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses. (5th February 2020)
- Main Title:
- Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses
- Authors:
- Han, Hong
Xu, Zhipeng
Guo, Kexin
Ni, Yao
Ma, Mingxue
Yu, Haiyang
Wei, Huanhuan
Gong, Jiangdong
Zhang, Shuo
Xu, Wentao - Abstract:
- Abstract : In biological synapses, short‐term plasticity is important for computation and signal transmission, whereas long‐term plasticity is essential for memory formation. Comparably, designing a strategy that can easily tune the synaptic plasticity of artificial synapses can benefit constructing an artificial neural system, where synapses with different short‐term plasticity (STP) and long‐term plasticity (LTP) are required. Herein, a strategy is designed that can easily tune the plasticity of crystallized conjugated polymer nanowire‐based synaptic transistors (STs) by low‐temperature solvent engineering. Essential synaptic functions are achieved, such as excitatory postsynaptic current (EPSC), paired‐pulse facilitation (PPF), spike‐frequency‐dependent plasticity (SFDP), spike‐duration‐dependent plasticity (SDDP) and spike‐number‐dependent plasticity (SNDP), and potentiation/depression. The balance between crystallinity and roughness is successfully adjusted by altering solvent compositions, and plasticity of the synaptic device is easily tuned between short term and long term. The evident transition from STP to LTP, good linearity and symmetry of potentiation and depression, and the broad dynamic working range of synaptic weight are achieved. This provides a facile way to tune synaptic plasticity at low temperatures and is applicable to future organic and flexible artificial nervous systems. Abstract : A strategy is designed that can easily tune the plasticity ofAbstract : In biological synapses, short‐term plasticity is important for computation and signal transmission, whereas long‐term plasticity is essential for memory formation. Comparably, designing a strategy that can easily tune the synaptic plasticity of artificial synapses can benefit constructing an artificial neural system, where synapses with different short‐term plasticity (STP) and long‐term plasticity (LTP) are required. Herein, a strategy is designed that can easily tune the plasticity of crystallized conjugated polymer nanowire‐based synaptic transistors (STs) by low‐temperature solvent engineering. Essential synaptic functions are achieved, such as excitatory postsynaptic current (EPSC), paired‐pulse facilitation (PPF), spike‐frequency‐dependent plasticity (SFDP), spike‐duration‐dependent plasticity (SDDP) and spike‐number‐dependent plasticity (SNDP), and potentiation/depression. The balance between crystallinity and roughness is successfully adjusted by altering solvent compositions, and plasticity of the synaptic device is easily tuned between short term and long term. The evident transition from STP to LTP, good linearity and symmetry of potentiation and depression, and the broad dynamic working range of synaptic weight are achieved. This provides a facile way to tune synaptic plasticity at low temperatures and is applicable to future organic and flexible artificial nervous systems. Abstract : A strategy is designed that can easily tune the plasticity of crystallized conjugated polymer nanowire‐based synaptic transistors by low‐temperature solvent engineering. … (more)
- Is Part Of:
- Advanced intelligent systems. Volume 2:Number 3(2020)
- Journal:
- Advanced intelligent systems
- Issue:
- Volume 2:Number 3(2020)
- Issue Display:
- Volume 2, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 2
- Issue:
- 3
- Issue Sort Value:
- 2020-0002-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-02-05
- Subjects:
- conjugated polymers -- nanowires -- synaptic plasticity -- neuromorphic devices -- synaptic transistors
Artificial intelligence -- Periodicals
Robotics -- Periodicals
Control theory -- Periodicals
006.3 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://onlinelibrary.wiley.com/journal/26404567 ↗ - DOI:
- 10.1002/aisy.201900176 ↗
- Languages:
- English
- ISSNs:
- 2640-4567
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14121.xml