Results 1 to 10 of about 36,804 (240)
Multimodal Artificial Synapses for Neuromorphic Application. [PDF]
The rapid development of neuromorphic computing has led to widespread investigation of artificial synapses. These synapses can perform parallel in-memory computing functions while transmitting signals, enabling low-energy and fast artificial intelligence. Robots are the most ideal endpoint for the application of artificial intelligence.
Li R +5 more
europepmc +5 more sources
Light-Emitting Artificial Synapses for Neuromorphic Computing. [PDF]
As the key connecting points in the neuromorphic computing systems, synaptic devices have been investigated substantially in recent years. Developing optoelectronic synaptic devices with optical outputs is becoming attractive due to many benefits of optical signals in systems.
Zhu C, Huang W, Li W, Yu X, Li X.
europepmc +5 more sources
Tunnel junction based memristors as artificial synapses. [PDF]
We prepared magnesia, tantalum oxide, and barium titanate based tunnel junction structures and investigated their memristive properties. The low amplitudes of the resistance change in these types of junctions are the major obstacle for their use. Here, we increased the amplitude of the resistance change from 10% up to 100%.
Thomas A +8 more
europepmc +9 more sources
Dissecting neurotransmission with artificial synapses. [PDF]
JGP study demonstrates how recordings from neuron–HEK cell cocultures provide a clearer picture of the factors involved in synaptic transmission.
Short B.
europepmc +4 more sources
Artificial Synapses Based on an Optical/Electrical Biomemristor. [PDF]
As artificial synapse devices, memristors have attracted widespread attention in the field of neuromorphic computing. In this paper, Al/polymethyl methacrylate (PMMA)/egg albumen (EA)–graphene quantum dots (GQDs)/PMMA/indium tin oxide (ITO) electrically/optically tunable biomemristors were fabricated using the egg protein as a dielectric layer.
Wang L +5 more
europepmc +4 more sources
Memristive Artificial Synapses for Neuromorphic Computing. [PDF]
AbstractNeuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture. This computing is realized based on memristive hardware neural networks in which synaptic devices that mimic biological synapses of the brain are the primary units ...
Huang W +8 more
europepmc +5 more sources
Solution‐Processed Perovskite Field‐Effect Transistor Artificial Synapses [PDF]
Beomjin Jeong +2 more
exaly +2 more sources
Organic Phototransistor Photonic Synapses for Artificial Vision. [PDF]
Abstract The von Neumann architecture faces significant limitations, including low transmission efficiency and high energy consumption, when handling large-scale data and unstructured problems. Benefiting from the inherent merits of optical signals including high bandwidth, near-zero Joule heating, fast transmission speed, and ...
Ding F, Xue D, Chi L, Huang L.
europepmc +4 more sources
Artificial Synapses: Organometal Halide Perovskite Artificial Synapses (Adv. Mater. 28/2016) [PDF]
A synapse-emulating electronic device based on organometal halide perovskite thin films is described by T.-W. Lee and co-workers on page 5916. The device successfully emulates important characteristics of a biological synapse. This work extends the application of organometal halide perovskites to bioinspired electronic devices, and contributes to the ...
Wentao, Xu +6 more
openaire +2 more sources
An artificial synapse based on molecular junctions
AbstractShrinking the size of the electronic synapse to molecular length-scale, for example, an artificial synapse directly fabricated by using individual or monolayer molecules, is important for maximizing the integration density, reducing the energy consumption, and enabling functionalities not easily achieved by other synaptic materials.
Yuchun Zhang +7 more
openaire +3 more sources

