Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics ...
Sung Woon Cho +3 more
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Proposition of Adaptive Read Bias: A Solution to Overcome Power and Scaling Limitations in Ferroelectric‐Based Neuromorphic System [PDF]
Hardware neuromorphic systems are crucial for the energy‐efficient processing of massive amounts of data. Among various candidates, hafnium oxide ferroelectric tunnel junctions (FTJs) are highly promising for artificial synaptic devices.
Ryun‐Han Koo +9 more
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Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing [PDF]
Hightlights Task-oriented perspective on neuromorphic memristors for artificial intelligence computing. From material systems and device structures to applications, flexibility, and system integration.
Jianhui Wang +4 more
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Emerging Memtransistors for Neuromorphic System Applications: A Review. [PDF]
You T, Zhao M, Fan Z, Ju C.
europepmc +2 more sources
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity. [PDF]
Pehle C +9 more
europepmc +2 more sources
Bipolar and Complementary Resistive Switching Characteristics and Neuromorphic System Simulation in a Pt/ZnO/TiN Synaptic Device. [PDF]
Khan SA +5 more
europepmc +2 more sources
Memristor Neural Network Training with Clock Synchronous Neuromorphic System. [PDF]
Jo S +5 more
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Recent advances in neuromorphic transistors for artificial perception applications
Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning.
Wei Sheng Wang, Li Qiang Zhu
doaj +1 more source
This paper presents a new scalable $8\times8$ single photon avalanche diode (SPAD) based vision sensor with integrated spiking neuromorphic system on a single chip.
Mst Shamim Ara Shawkat +4 more
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Emerging memristive neurons for neuromorphic computing and sensing
Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption.
Zhiyuan Li +4 more
doaj +1 more source

