Results 61 to 70 of about 22,264 (276)

Synthesizing cognition in neuromorphic electronic systems [PDF]

Proceedings of the National Academy of Sciences, 2013
SignificanceNeuromorphic emulations express the dynamics of neural systems in analogous electronic circuits, offering a distributed, low-power technology for constructing intelligent systems. However, neuromorphic circuits are inherently imprecise and noisy, and there has been no systematic method for configuring reliable behavioral dynamics on these ...
Neftci, E., Binas, J., Rutishauser, U., Chicca, Elisabetta, Indiveri, G., Douglas, R. J.   +5 more
openaire   +4 more sources

Unprecedented Spin‐Lifetime of Itinerant Electrons in Natural Graphite Crystals

Advanced Functional Materials, EarlyView.
Graphite exhibits extraordinary spintronic potential, with electron spin lifetimes reaching 1,000 ns at room temperature ‐ over 100 times longer than graphene‐based devices. Magnetic resonance spectroscopy reveals strong anisotropy: out‐of‐plane spins live 50 times longer than their in‐plane counterparts.
Bence G. Márkus, Dávid Beke, Lili Vajtai, András Jánossy, László Forró, Ferenc Simon   +5 more
wiley   +1 more source

Emerging Neuromorphic Devices-Compatible SNN Hardware With Adaptive STDP and Validation Using Novel CMOS Neuron-Synapse Circuits

IEEE Access
This study proposes a neuromorphic hardware system based on a spiking neural network (SNN). The circuit-level adaptability of the system enables the integration of diverse emerging neuromorphic neuron and synaptic devices into a single system.
Min Jee Kim, Hyung-Min Lee, Yeonjoo Jeong, Joon Young Kwak   +3 more
doaj   +1 more source

Perspective: Organic electronic materials and devices for neuromorphic engineering

, 2018
Neuromorphic computing and engineering has been the focus of intense research efforts that have been intensified recently by the mutation of Information and Communication Technologies (ICT). In fact, new computing solutions and new hardware platforms are
Alibart, Fabien, Pecqueur, Sebastien, Vuillaume, Dominique   +2 more
core   +2 more sources

Large-scale neuromorphic computing systems

Journal of Neural Engineering, 2016
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems. The philosophy behind neuromorphic computing has its origins in the seminal work carried out by Carver Mead at Caltech in the ...
openaire   +2 more sources

In Situ Study of Resistive Switching in a Nitride‐Based Memristive Device

Advanced Functional Materials, EarlyView.
In situ TEM biasing experiment demonstrates the volatile I‐V characteristic of MIM lamella device. In situ STEM‐EELS Ti L2/L3 ratio maps provide direct evidence of the oxygen vacancies migrations under positive/negative electrical bias, which is critical for revealing the RS mechanism for the MIM lamella device.
Di Zhang, Rohan Dhall, Matthew M. Schneider, Cun Li, Chengyu Song, Sundar Kunwar, Hongyi Dou, Natanii R. Yazzie, Henry Tran, Daniel Appuing, Jim Ciston, Nicholas G. Cucciniello, Pinku Roy, Michael T. Pettes, John Watt, Winson Kuo, Haiyan Wang, Ye Cao, Rodney J. McCabe, Aiping Chen   +19 more
wiley   +1 more source

A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems

Advanced Intelligent Systems, 2021
Neuromorphic electronics, an emerging field that aims for building electronic mimics of the biological brain, holds promise for reshaping the frontiers of information technology and enabling a more intelligent and efficient computing paradigm.
Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang, Si Wu, Huanglong Li   +11 more
doaj   +1 more source

Threshold-Variation-Tolerant Coupling-Gate α-IGZO Synaptic Transistor for More Reliably Controllable Hardware Neuromorphic System

IEEE Access, 2021
Hardware-oriented neuromorphic computing is gaining great deal of interest for highly parallel data processing and superb energy efficiency, as the candidate for replacement of conventional von Neumann computing. In this work, a novel synaptic transistor
Dongyeon Kang, Jun Tae Jang, Shinyoung Park, Md. Hasan Raza Ansari, Jong-Ho Bae, Sung-Jin Choi, Dong Myong Kim, Changwook Kim, Seongjae Cho, Dae Hwan Kim   +9 more
doaj   +1 more source

Pattern representation and recognition with accelerated analog neuromorphic systems

, 2017
Despite being originally inspired by the central nervous system, artificial neural networks have diverged from their biological archetypes as they have been remodeled to fit particular tasks.
Bellec, Guillaume, Bill, Johannes, Breitwieser, Oliver, Bytschok, Ilja, Grübl, Andreas, Güttler, Maurice, Hartel, Andreas, Hartmann, Stephan, Husmann, Dan, Husmann, Kai, Jeltsch, Sebastian, Karasenko, Vitali, Kleider, Mitja, Klähn, Johann, Koke, Christoph, Kononov, Alexander, Legenstein, Robert, Maass, Wolfgang, Mauch, Christian, Mayr, Christian, Meier, Karlheinz, Müller, Eric, Müller, Paul, Partzsch, Johannes, Petrovici, Mihai A., Pfeil, Thomas, Schemmel, Johannes, Schiefer, Stefan, Schmitt, Sebastian, Scholze, Stefan, Schroeder, Anna, Schüffny, René, Stöckel, David, Subramoney, Anand, Thanasoulis, Vasilis, Vogginger, Bernhard   +35 more
core   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source