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Advanced Functional Materials, 2023
Most current studies of artificial synapses only mimic the static plasticity, which is far from achieving the complex behaviors of the human brain. The few reported dynamic reconfigurable synapses based on ambipolar transistors switch the operating ...
Yunlong Bu +5 more
semanticscholar +1 more source
Most current studies of artificial synapses only mimic the static plasticity, which is far from achieving the complex behaviors of the human brain. The few reported dynamic reconfigurable synapses based on ambipolar transistors switch the operating ...
Yunlong Bu +5 more
semanticscholar +1 more source
Polymeric Memristor Based Artificial Synapses with Ultra‐Wide Operating Temperature
Advances in Materials, 2023Neuromorphic electronics, being inspired by how the brain works, hold great promise to the successful implementation of smart artificial systems. Among several neuromorphic hardware issues, a robust device functionality under extreme temperature is of ...
Jiayu Li +14 more
semanticscholar +1 more source
Halide perovskite photoelectric artificial synapses: materials, devices, and applications.
Nanoscale, 2023In recent years, there has been a research boom on halide perovskites (HPs) whose outstanding performance in photovoltaic and optoelectronic fields is obvious to all. In particular, HP materials find application in the development of artificial synapses.
Zhengyang Xue +5 more
semanticscholar +1 more source
ACS Applied Materials and Interfaces, 2023
Fully optical artificial synapses are crucial hardware for neuromorphic computing, which is very promising to address the future large-scale computing capacity problem.
Zheng Wen +5 more
semanticscholar +1 more source
Fully optical artificial synapses are crucial hardware for neuromorphic computing, which is very promising to address the future large-scale computing capacity problem.
Zheng Wen +5 more
semanticscholar +1 more source
Microcontroller based artificial synapse
Proceedings of the IEEE 31st Annual Northeast Bioengineering Conference, 2005., 2005This paper discusses a novel artificial synapse implementation utilizing a PIC microcontroller. This artificial synapse controls a postsynaptic neuron based upon the frequency of pulses input from a presynaptic neuron. The artificial synapse is constructed to interface the Lymnaea stagnalis neuron and a neuron emulator capable of simulating this type ...
Chabot, Eugene +3 more
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Organic All-Photonic Artificial Synapses Enabled by Anti-Stokes Photoluminescence.
Journal of the American Chemical Society, 2023All-photonic synaptic devices with the merits of visible signals and high spatiotemporal resolution are promising to break the Von Neumann bottleneck.
Hao Chen +6 more
semanticscholar +1 more source
Multiprotocol-induced plasticity in artificial synapses
Nanoscale, 2014A bipolar-switch-based synaptic circuit realizes multiprotocol-induced plasticity in both excitatory and inhibitory synaptic transmission.
Vladimir, Kornijcuk +8 more
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Retina‐Inspired Artificial Synapses with UV Modulated and Immediate Switchable Plasticity
Advanced Functional MaterialsAs the most promising candidates for implementing in‐sensor computing and lower power consumption, retina‐inspired morphometric vision sensors must be able to perceive and discriminate images under various illumination conditions.
Xuemei Zheng +9 more
semanticscholar +1 more source
Applied Physics Letters
The continuous growth in artificial intelligence and high-performance computing has necessitated the development of efficient optoelectronic artificial synapses crucial for neuromorphic computing (NC). Ga2O3 is an emerging wide-bandgap semiconductor with
Jiahao Yuan +5 more
semanticscholar +1 more source
The continuous growth in artificial intelligence and high-performance computing has necessitated the development of efficient optoelectronic artificial synapses crucial for neuromorphic computing (NC). Ga2O3 is an emerging wide-bandgap semiconductor with
Jiahao Yuan +5 more
semanticscholar +1 more source
Artificial electrical synapses in oscillatory networks
Journal of Neurophysiology, 19921. We use an electronic circuit to artificially electrically couple neurons. 2. Strengthening the coupling between an oscillating neuron and a hyperpolarized, passive neuron can either increase or decrease the frequency of the oscillator depending on the properties of the oscillator. 3.
A A, Sharp, L F, Abbott, E, Marder
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