A VO2 Neuristor Based on Microstrip Line Coupling
The neuromorphic network based on artificial neurons and synapses can solve computational difficulties, and its energy efficiency is incomparable to the traditional von Neumann architecture.
Haidan Lin, Yiran Shen
doaj +1 more source
Vertical organic synapse expandable to 3D crossbar array
Though three-terminal organic synapses are attractive for artificial neural networks due their weight controllable property, their structural limitations hinder performance.
Yongsuk Choi +4 more
doaj +1 more source
Transfer of visual motion information via graded synapses operates linearly in the natural activity range [PDF]
Kurtz R, Warzecha A-K, Egelhaaf M. Transfer of visual motion information via graded synapses operates linearly in the natural activity range. The journal of neuroscience. 2001;21(17):6957-6966.Synaptic transmission between a graded potential neuron and a
Anne-Kathrin Warzecha +5 more
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Application of artificial neural synapses in soft robots
Artificial neural network is considered to be one of the effective ways to enable soft robots to achieve high-performance control due to their significant advantages, such as massively parallel processing and distributed storage of information ...
Xuanting Ding
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Quantum Dots for Resistive Switching Memory and Artificial Synapse
Memristor devices for resistive-switching memory and artificial synapses have emerged as promising solutions for overcoming the technological challenges associated with the von Neumann bottleneck.
Gyeongpyo Kim +2 more
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MnO2/WO3 electrochromic synapses for optical neuromorphic computing with adaptation effect [PDF]
Optical neuromorphic computing offers advantages such as high speed, parallel processing, and strong interference resistance compared with conventional electronic computing methods.
Xi Chen, Yang Liu
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A biomimetic ocular prosthesis system: emulating autonomic pupil and corneal reflections
The adoption of photonic synapses with biosimilarity to realize analog signal transmission is of significance in realizing artificial illuminance modulation responses.
Seongchan Kim +15 more
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Soft Artificial Synapse Electronics
Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered by the limitations of the conventional von Neumann architecture.
Md. Rayid Hasan Mojumder +2 more
openaire +3 more sources
Array of Cointegrated Transistor-Based Artificial Neurons and Synapses for Neuromorphic Computing. [PDF]
Neuromorphic computing seeks to replicate the computational efficiency and parallelism of the human brain by emulating its neural architecture. In this work, we present the Array of Cointegrated TransistorāBased Artificial Neurons and Synapses (ACTANS ...
Lee SW +9 more
europepmc +2 more sources
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory [PDF]
Chicca E, Badoni D, Dante V, et al. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks.
Fusi, S. +7 more
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