Results 41 to 50 of about 76,792 (271)

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

Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]

, 2019
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott, Bartolozzi, Bartolozzi, Benjamin, Bi, Bohte, Detorakis, Faisal, Fouda, Fouda, Furber, Gerstner, Gerstner, Goldberg, Gütig, Hinton, Hopfield, Huayaney, Hyvärinen, Ielmini, Indiveri, Isomura, Jolivet, Katz, Kim, Levy, Li, Lillicrap, Maass, Mead, Merolla, Moreno-Bote, Naous, Neftci, Neftci, Neftci, Paille, Park, Pfister, Prezioso, Puglisi, Qiao, Querlioz, Savin, Saïghi, Schultz, Shouval, Tiago, Urbanczik, Wan, Wang, Williams, Woo, Xie, Yarom, Yu, Yu   +56 more
core   +2 more sources

Robust Lead‐Free Perovskite Nanowire Array‐Based Artificial Synapses Exemplifying Gestalt Principle of Closure via a Letter Recognition Scheme

Advanced Intelligent Systems, 2022
The Gestalt principles of perceptual learning elucidate how the human brain categorizes and comprehends a set of visual elements grouped together. One of the principles of Gestalt perceptual learning is the law of closure which propounds that human ...
Swapnadeep Poddar, Zhesi Chen, Zichao Ma, Yuting Zhang, Chak Lam Jonathan Chan, Beitao Ren, Qianpeng Zhang, Daquan Zhang, Guozhen Shen, Haibo Zeng, Zhiyong Fan   +10 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

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 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

The case for emulating insect brains using anatomical "wiring diagrams" equipped with biophysical models of neuronal activity

, 2018
Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics.
Collins, Logan Thrasher
core   +1 more source

Evolving Dendritic Morphologies Highlight the Impact of Structured Synaptic Inputs on Neuronal Performance [PDF]

, 2017
Acknowledgements I would like to express my sincere gratitude to Dr.
Kagdi, Mohammad Ziyad
core   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source