Results 41 to 50 of about 77,137 (273)

Microwave neural processing and broadcasting with spintronic nano-oscillators

, 2018
Can we build small neuromorphic chips capable of training deep networks with billions of parameters? This challenge requires hardware neurons and synapses with nanometric dimensions, which can be individually tuned, and densely connected.
Araujo, F. Abreu, Bortolotti, P., Cros, V., Ernoult, M., Fukushima, A., Grollier, J., Hirtzlin, T., Kubota, H., Locatelli, N., Querlioz, D., Romera, M., Talatchian, P., Trastoy, J., Tsunegi, S., Vodenicarevic, D., Yakushiji, K., Yuasa, S.   +16 more
core   +1 more source

Vertical organic synapse expandable to 3D crossbar array

Nature Communications, 2020
Though three-terminal organic synapses are attractive for artificial neural networks due their weight controllable property, their structural limitations hinder performance.
Yongsuk Choi, Seyong Oh, Chuan Qian, Jin-Hong Park, Jeong Ho Cho   +4 more
doaj   +1 more source

A Heterosynaptic Learning Rule for Neural Networks

, 2006
In this article we intoduce a novel stochastic Hebb-like learning rule for neural networks that is neurobiologically motivated. This learning rule combines features of unsupervised (Hebbian) and supervised (reinforcement) learning and is stochastic with ...
Bak P., Bosman R. J. C., Fitzsimonds R. M., FRANK EMMERT-STREIB, Hebb D. O., Hertz J., Holland J., Koch C., Otmakhova N. A.   +8 more
core   +1 more source

A biomimetic ocular prosthesis system: emulating autonomic pupil and corneal reflections

Nature Communications, 2022
The adoption of photonic synapses with biosimilarity to realize analog signal transmission is of significance in realizing artificial illuminance modulation responses.
Seongchan Kim, Yoon Young Choi, Taewan Kim, Yong Min Kim, Dong Hae Ho, Young Jin Choi, Dong Gue Roe, Ju-Hee Lee, Joongpill Park, Ji-Woong Choi, Jeong Won Kim, Jin-Hong Park, Sae Byeok Jo, Hong Chul Moon, Sohee Jeong, Jeong Ho Cho   +15 more
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Application of artificial neural synapses in soft robots

AIP Advances
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
doaj   +1 more source

Quantum Dots for Resistive Switching Memory and Artificial Synapse

Nanomaterials
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, Seoyoung Park, Sungjun Kim   +2 more
doaj   +1 more source

Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks

, 2016
Multilayered artificial neural networks (ANN) have found widespread utility in classification and recognition applications. The scale and complexity of such networks together with the inadequacies of general purpose computing platforms have led to a ...
Jaiswal, Akhilesh, Roy, Kaushik, Sarwar, Syed Shakib, Srinivasan, Gopalakrishnan, Wijesinghe, Parami   +4 more
core   +1 more source

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

Tuning a binary ferromagnet into a multi-state synapse with spin-orbit torque induced plasticity [PDF]

, 2016
Inspired by ion-dominated synaptic plasticity in human brain, artificial synapses for neuromorphic computing adopt charge-related quantities as their weights.
Cao, Yi, Rushforth, Andrew, Sheng, Yu, Zheng, Houzhi, Wang, Kaiyou   +4 more
core   +4 more sources