Results 101 to 110 of about 17,204,563 (294)

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Multi‐Level Saturation Current Encoding in Two‐Dimensional Ferroelectric Source‐Gated Transistors

Advanced Functional Materials, EarlyView.
A 2D ferroelectric source‐gated transistor (SGT) operates with a non‐volatile, multi‐level saturation current controlled by ferroelectric polarization. Operando electrostatic and photocurrent imaging link the current limitation to source‐side depletion, identifying saturation current as a programmable, read‐bias‐tolerant device parameter toward low ...
Joon‐Seok Kim, Ting‐Ching Chu, Zhehao Zhu, Lincoln J. Lauhon   +3 more
wiley   +1 more source

Additive Manufacturing of Neuromorphic Systems

Advanced Materials
Abstract Neuromorphic engineering aims to create brain‐inspired computing systems based on synaptic electronic hardware and neural network software. It combines intelligent materials, advanced processing technology, and computation programs.
Jiongyi Yan, Yutai Su, James P. K. Armstrong, Andrew Gleadall   +3 more
openaire   +2 more sources

Neuromorphic Computing based on Oscillatory Neural Networks

, 2020
International audienceNeuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems.
Todri-Sanial, Aida
core   +1 more source

NeuroPong: the event-based camera driven embedded neuromorphic system

Neuromorphic Computing and Engineering
Neuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchronous ...
Charles P Rizzo, Bryson Gullett, Alex M Crumley, Maxwell E Marcum, Mason R Hyman, Carter Earheart-Brown, Julia Steed, Frank Standaert, Catherine D Schuman, James S Plank   +9 more
doaj   +1 more source

Self-Rectifying Resistive Switching and Short-Term Memory Characteristics in Pt/HfO₂/TaO_x/TiN Artificial Synaptic Device

Nanomaterials, 2020
Here, we propose a Pt/HfO2/TaOx/TiN artificial synaptic device that is an excellent candidate for artificial synapses. First, XPS analysis is conducted to provide the dielectric (HfO2/TaOx/TiN) information deposited by DC sputtering and atomic layer ...
Hojeong Ryu, Sungjun Kim
doaj   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

Neuromorphic Systems

, 2016
This article reviews a wide spectrum of state‐of‐the‐art neuromorphic systems, ranging from its principles, sensory elements, and processing aspects to large‐scale example systems and commercial outlook. It does not aim to provide a full coverage of present knowledge, but simply provide a comprehensive summary with many pointers to further readings.
C. Bartolozzi, R. Benosman, K. Boahen, G. Cauwenberghs, Tobi Delbrück, Giacomo Indiveri, Shih‐Chii Liu, S. Furber, N. Imam, Bernabé Linares‐Barranco, Teresa Serrano‐Gotarredona, K. Meier, C. Posch, M. Valle   +13 more
openaire   +2 more sources

Odour Localization in Neuromorphic Systems

2024 IEEE International Symposium on Circuits and Systems (ISCAS)
Odour source localization is crucial in life-saving scenarios like pinpointing gas leaks, detecting explosives, searching for earthquake survivors, or locating fires at their origin. The turbulent character of natural environments makes this task very challenging.
Thorben Schoepe, Damien Drix, Franz Marcus Schüffny, Rebecca Miko, Samuel Sutton, Elisabetta Chicca, Michael Schmuker   +6 more
openaire   +2 more sources