Results 61 to 70 of about 77,137 (273)

Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System

, 2017
Emulating spiking neural networks on analog neuromorphic hardware offers several advantages over simulating them on conventional computers, particularly in terms of speed and energy consumption.
Bellec, Guillaume, Grubl, Andreas, Guttler, Maurice, Hartel, Andreas, Hartmann, Stephan, Husmann, Dan, Husmann, Kai, Jeltsch, Sebastian, Karasenko, Vitali, Klahn, Johann, Kleider, Mitja, Koke, Christoph, Kononov, Alexander, Legenstein, Robert, Maass, Wolfgang, Mauch, Christian, Mayr, Christian, Meier, Karlheinz, Muller, Eric, Muller, Paul, Partzsch, Johannes, Petrovici, Mihai Alexandru, Schemmel, Johannes, Schiefer, Stefan, Schmitt, Sebastian, Scholze, Stefan, Schuffny, Rene, Thanasoulis, Vasilis, Vogginger, Bernhard   +28 more
core   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Spin-Based Neuron Model with Domain Wall Magnets as Synapse

, 2012
We present artificial neural network design using spin devices that achieves ultra low voltage operation, low power consumption, high speed, and high integration density.
Augustine, Charles, Panagopoulos, Georgios, Roy, Kaushik, Sharad, Mrigank   +3 more
core   +1 more source

Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors

Advanced Functional Materials, EarlyView.
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee, Hyoik Jang, Myeongjin An, Junho Sung, Chaeyeon Han, Eunho Lee   +5 more
wiley   +1 more source

Artificial sensory system based on memristive devices

Exploration
In the biological nervous system, the integration and cooperation of parallel system of receptors, neurons, and synapses allow efficient detection and processing of intricate and disordered external information.
Ju Young Kwon, Ji Eun Kim, Jong Sung Kim, Suk Yeop Chun, Keunho Soh, Jung Ho Yoon   +5 more
doaj   +1 more source

Self‐Healing and Stretchable Synaptic Transistor

Advanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo, Sangyong Park, Yoonyi Jeong, Jaepyo Jang, Duhwan Seong, In Soo Kim, Myung‐Gil Kim, Mikyung Shin, Minah Suh, Donghee Son, Jin‐Hong Park   +10 more
wiley   +1 more source

A Supervised STDP-based Training Algorithm for Living Neural Networks

, 2018
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.
Berdichevsky, Yevgeny, Devincentis, Kevin, Ferdous, Zubayer Ibne, Guo, Xiaochen, Xiao, Yao, Yan, Zhiyuan, Zeng, Yuan   +6 more
core   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots

Scientific Reports, 2023
Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation.
Lijie Kou, Nan Ye, Anjam Waheed, Rahmat Zaki Auliya, Chaoxing Wu, Poh Choon Ooi, Fushan Li   +6 more
doaj   +1 more source