Results 241 to 250 of about 79,596 (285)

Multiprotocol-induced plasticity in artificial synapses

Nanoscale, 2014
A bipolar-switch-based synaptic circuit realizes multiprotocol-induced plasticity in both excitatory and inhibitory synaptic transmission.
Vladimir, Kornijcuk, Omid, Kavehei, Hyungkwang, Lim, Jun Yeong, Seok, Seong Keun, Kim, Inho, Kim, Wook-Seong, Lee, Byung Joon, Choi, Doo Seok, Jeong   +8 more
openaire   +2 more sources

Artificial electrical synapses in oscillatory networks

Journal of Neurophysiology, 1992
1. 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
openaire   +2 more sources

Liquid-based memory and artificial synapse

Nanoscale, 2019
Resistive switching is observed in silver nitrate solution and synaptic behaviors are evaluated using liquid-based memory devices.
Dongshin Kim, Jang-Sik Lee
openaire   +3 more sources

Visible Light‐Sensitive Artificial Photonic Synapse

Advanced Optical Materials, 2023
AbstractComputing based on artificial neuron networks holds great promise in overcoming the von Neumann bottleneck and significantly enhancing computing efficiency. It offers a wide range of possibilities for artificial visual system applications. Photonic synapses, as essential components, can contribute to improved efficiency in visual information ...
Bum Ho Jeong, Jaehee Park, Dohyung Kim, Jongmin Lee, In Hwan Jung, Hui Joon Park   +5 more
openaire   +1 more source

Piezotronic Graphene Artificial Sensory Synapse

Advanced Functional Materials, 2019
AbstractThe human somatosensory system, consisting of receptors, transmitters, and synapses, functions as the medium for external mechanical stimuli perception and sensing signal delivery/processing. Developing sophisticated artificial sensory synapses with a high performance, uncomplicated fabrication process, and low power consumption is still a ...
Youhui Chen, Guoyun Gao, Jing Zhao, Huai Zhang, Jinran Yu, Xixi Yang, Qian Zhang, Wenliang Zhang, Shuya Xu, Jia Sun, Yanfang Meng, Qijun Sun   +11 more
openaire   +1 more source

Neuromorphic Synapses for Artificial Dendrites

Analog Integrated Circuits and Signal Processing, 1997
We describe neuromorphic, variable-weight synapses on artificial dendrites that facilitate experimentation with correlative adaptation rules. Attention is focused on those aspects of biological synaptic function that could affect a neuromorphic network‘s computational power and adaptive capability.
Wayne C. Westerman, David P. M. Northmore, John. G. Elias   +2 more
openaire   +1 more source

Stretchable Transistor‐Structured Artificial Synapses for Neuromorphic Electronics

Small, 2023
AbstractStretchable synaptic transistors, a core technology in neuromorphic electronics, have functions and structures similar to biological synapses and can concurrently transmit signals and learn. Stretchable synaptic transistors are usually soft and stretchy and can accommodate various mechanical deformations, which presents significant prospects in
Xiumei Wang, Huihuang Yang, Enlong Li, Chunbin Cao, Wen Zheng, Huipeng Chen, Wenwu Li   +6 more
openaire   +2 more sources

An Oxide Schottky Junction Artificial Optoelectronic Synapse

ACS Nano, 2019
The rapid development of artificial intelligence techniques and future advanced robot systems sparks emergent demand on the accurate perception and understanding of the external environments via visual sensing systems that can co-locate the self-adaptive detecting, processing, and memorizing of optical signals. In this contribution, a simple indium-tin
Shuang Gao, Gang Liu, Huali Yang, Chao Hu, Qilai Chen, Guodong Gong, Wuhong Xue, Xiaohui Yi, Jie Shang, Run-Wei Li   +9 more
openaire   +2 more sources

Non‐linear Processing in Artificial Synapses

Kybernetes, 1992
Analyses the possibility of allowing non‐linear synaptic processing in Artificial Neural Networks (ANN) both theoretically and practically. The simple computer simulations described strongly suggest that this is a viable alternative, and preferable to ANN with just linear synapses, because of the savings in hardware (fewer components are needed) and ...
openaire   +2 more sources

Emerging memory devices for artificial synapses

Journal of Materials Chemistry C, 2020
This paper reviews recent developments in artificial synapses that exploit various emerging memory devices. The emulation of synaptic plasticity and operation mechanism of artificial synapses using various materials and structures are presented.
Youngjun Park, Min-Kyu Kim, Jang-Sik Lee
openaire   +1 more source