He et al., 2021 - Google Patents
Recent progress on emerging transistor‐based neuromorphic devicesHe et al., 2021
View PDF- Document ID
- 13960448463046322414
- Author
- He Y
- Zhu L
- Zhu Y
- Chen C
- Jiang S
- Liu R
- Shi Y
- Wan Q
- Publication year
- Publication venue
- Advanced Intelligent Systems
External Links
Snippet
Human brain outperforms the current von Neumann digital computer in many aspects, such as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic computation has attracted increasing research interest. In recent years, emerging …
- 210000004556 Brain 0 abstract description 16
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES; ELECTRIC SOLID STATE DEVICES NOT OTHERWISE PROVIDED FOR
- H01L51/00—Solid state devices using organic materials as the active part, or using a combination of organic materials with other materials as the active part; Processes or apparatus specially adapted for the manufacture or treatment of such devices, or of parts thereof
- H01L51/05—Solid state devices using organic materials as the active part, or using a combination of organic materials with other materials as the active part; Processes or apparatus specially adapted for the manufacture or treatment of such devices, or of parts thereof specially adapted for rectifying, amplifying, oscillating or switching, or capacitors or resistors with at least one potential- jump barrier or surface barrier multistep processes for their manufacture
- H01L51/0504—Solid state devices using organic materials as the active part, or using a combination of organic materials with other materials as the active part; Processes or apparatus specially adapted for the manufacture or treatment of such devices, or of parts thereof specially adapted for rectifying, amplifying, oscillating or switching, or capacitors or resistors with at least one potential- jump barrier or surface barrier multistep processes for their manufacture the devices being controllable only by the electric current supplied or the electric potential applied, to an electrode which does not carry the current to be rectified, amplified or swiched, e.g. three-terminal devices
- H01L51/0508—Field-effect devices, e.g. TFTs
- H01L51/0512—Field-effect devices, e.g. TFTs insulated gate field effect transistors
-
- G—PHYSICS
- G11—INFORMATION STORAGE
- G11C—STATIC STORES
- G11C13/00—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00
- G11C13/0002—Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00 using resistance random access memory [RRAM] elements
- G11C13/0009—RRAM elements whose operation depends upon chemical change
Similar Documents
Publication | Publication Date | Title |
---|---|---|
He et al. | Recent progress on emerging transistor‐based neuromorphic devices | |
Dai et al. | Recent advances in transistor‐based artificial synapses | |
Ling et al. | Electrolyte-gated transistors for synaptic electronics, neuromorphic computing, and adaptable biointerfacing | |
Jiang et al. | Emerging synaptic devices: from two-terminal memristors to multiterminal neuromorphic transistors | |
Yu et al. | Electret-based organic synaptic transistor for neuromorphic computing | |
Liu et al. | Fully printed all-solid-state organic flexible artificial synapse for neuromorphic computing | |
Yu et al. | Evolution of bio‐inspired artificial synapses: materials, structures, and mechanisms | |
van De Burgt et al. | Organic electronics for neuromorphic computing | |
John et al. | Synergistic gating of electro‐iono‐photoactive 2D chalcogenide neuristors: coexistence of hebbian and homeostatic synaptic metaplasticity | |
Zhang et al. | Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications | |
Yao et al. | Non‐volatile electrolyte‐gated transistors based on graphdiyne/MoS2 with robust stability for low‐power neuromorphic computing and logic‐in‐memory | |
He et al. | Electric-double-layer transistors for synaptic devices and neuromorphic systems | |
Sun et al. | Organic synaptic devices for neuromorphic systems | |
Gumyusenge et al. | Materials strategies for organic neuromorphic devices | |
Yang et al. | Long-term synaptic plasticity emulated in modified graphene oxide electrolyte gated IZO-based thin-film transistors | |
Ren et al. | Threshold-tunable, spike-rate-dependent plasticity originating from interfacial proton gating for pattern learning and memory | |
Wang et al. | Thin-film transistors for emerging neuromorphic electronics: Fundamentals, materials, and pattern recognition | |
Huang et al. | Electrolyte-gated transistors for neuromorphic applications | |
Tian et al. | Recent progress on two-dimensional neuromorphic devices and artificial neural network | |
Zhou et al. | Solution-processed chitosan-gated IZO-based transistors for mimicking synaptic plasticity | |
Li et al. | Short-term synaptic plasticity in emerging devices for neuromorphic computing | |
He et al. | Electrolyte-gated neuromorphic transistors for brain-like dynamic computing | |
Sun et al. | Advanced synaptic devices and their applications in biomimetic sensory neural system | |
Bhunia et al. | Neural-inspired artificial synapses based on low-voltage operated organic electrochemical transistors | |
Shi et al. | Solid-state electrolyte gated synaptic transistor based on SrFeO2. 5 film channel |