An Artificial L‐ReLU Neuron with Asymmetric Diffusive Memristor for High‐Accuracy Neuromorphic Systems
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202423267
Abstract: Artificial neurons with leaky rectified linear unit (L‐ReLU) function can effectively process negative information, enhancing the neuromorphic systems capbility to handle negative values. Memristive devices show great potential in building compact and bio‐plausible artificial neurons,… read more here.
Keywords: diffusive memristor; neuromorphic systems; high accuracy; relu neuron ... See more keywords
Organic Synapses for Neuromorphic Electronics: From Brain-Inspired Computing to Sensorimotor Nervetronics.
Sign Up to like & getrecommendations! Published in 2019 at "Accounts of chemical research"
DOI: 10.1021/acs.accounts.8b00553
Abstract: Living organisms have a long evolutionary history that has provided them with functions and structures that enable them to survive in their environment. The goal of biomimetic technology is to emulate these traits of living… read more here.
Keywords: research; living body; sensorimotor nervetronics; neuromorphic systems ... See more keywords
Amorphous metal oxide semiconductor thin film, analog memristor, and autonomous local learning for neuromorphic systems
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-79806-w
Abstract: Artificial intelligence is a promising concept in modern and future societies. Presently, software programs are used but with a bulky computer size and large power consumption. Conversely, hardware systems named neuromorphic systems are suggested, with… read more here.
Keywords: amorphous metal; thin film; metal oxide; film ... See more keywords
Synaptic transistors and neuromorphic systems based on carbon nano-materials.
Sign Up to like & getrecommendations! Published in 2021 at "Nanoscale"
DOI: 10.1039/d1nr00148e
Abstract: Carbon-based materials possessing a nanometer size and unique electrical properties perfectly address the two critical issues of transistors, the low power consumption and scalability, and are considered as a promising material in next-generation synaptic devices.… read more here.
Keywords: synaptic transistors; transistors neuromorphic; carbon; systems based ... See more keywords
Noise-Induced Homeostasis in Memristor-Based Neuromorphic Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Electron Device Letters"
DOI: 10.1109/led.2024.3416704
Abstract: In this work, it is experimentally demonstrated that noise can be used to emulate the biological homeostatic neuron property in memristor-based neuromorphic systems. The addition of an external noise to the bias allows regulating the… read more here.
Keywords: memristor; memristor based; noise induced; based neuromorphic ... See more keywords
MigSpike: A Migration Based Algorithms and Architecture for Scalable Robust Neuromorphic Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2021.3136028
Abstract: While conventional hardware neuromorphic systems usually consist of multiple clusters of neurons that communicate via an interconnect infrastructure, scaling up them confronts the reliability issue when faults in the neuron circuits and synaptic weight memories… read more here.
Keywords: mml mml; mml; neuromorphic systems; migration ... See more keywords
HetSub: A Heterogeneous Multi-NoC With Reconfigurable Long-Range Links for Neuromorphic Systems
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2025.3597406
Abstract: Network-on-chip (NoC) is widely employed in neuromorphic systems due to its excellent multicore communication performance. High energy consumption poses a critical challenge for NoCs, with static power becoming a major concern as technology nodes advance.… read more here.
Keywords: long range; power; multi noc; neuromorphic systems ... See more keywords
Tunable ion energy barrier modulation through aliovalent halide doping for reliable and dynamic memristive neuromorphic systems
Sign Up to like & getrecommendations! Published in 2024 at "Science Advances"
DOI: 10.1126/sciadv.adm7221
Abstract: Memristive neuromorphic computing has emerged as a promising computing paradigm for the upcoming artificial intelligence era, offering low power consumption and high speed. However, its commercialization remains challenging due to reliability issues from stochastic ion… read more here.
Keywords: halide doping; aliovalent halide; neuromorphic systems; ion ... See more keywords
Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00437
Abstract: Neuromorphic systems are designed with careful consideration of the physical properties of the computational substrate they use. Neuromorphic engineers often exploit physical phenomena to directly implement a desired functionality, enabled by “the isomorphism between physical… read more here.
Keywords: neuromorphic systems; hardware constraints; inductive biases; systems design ... See more keywords