Results 1 to 10 of about 2,424,558 (103)

Neuromorphic Engineering Needs Closed-Loop Benchmarks

Frontiers in Neuroscience, 2022
Neuromorphic engineering aims to build (autonomous) systems by mimicking biological systems. It is motivated by the observation that biological organisms—from algae to primates—excel in sensing their environment, reacting promptly to their perils and ...
Moritz B. Milde, Saeed Afshar, Ying Xu, Alexandre Marcireau, Damien Joubert, Bharath Ramesh, Yeshwanth Bethi, Nicholas O. Ralph, Sami El Arja, Nik Dennler, André van Schaik, Gregory Cohen   +11 more
doaj   +4 more sources

Neuromorphic chips for biomedical engineering

Mechanobiology in Medicine
The modern medical field faces two critical challenges: the dramatic increase in data complexity and the explosive growth in data size. Especially in current research, medical diagnostic, and data processing devices relying on traditional computer ...
Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan, Lizhen Wang, Yubo Fan   +5 more
doaj   +4 more sources

Neuromorphic Engineering for Hardware Computational Acceleration and Biomimetic Perception Motion Integration

Advanced Intelligent Systems, 2020
In the tide of artificial intelligence evolution, the demand for data computing has exploded, and the von Neumann architecture computer with separate memory and computing units require cumbersome data interaction, which leads to serious degradation in ...
Shuiyuan Wang, Xiaozhang Chen, Xiaohe Huang, David Wei Zhang, Peng Zhou   +4 more
doaj   +3 more sources

Bipolar Switching Characteristics of Transparent WOX-Based RRAM for Synaptic Application and Neuromorphic Engineering

Materials, 2022
In this work, we evaluate the resistive switching (RS) and synaptic characteristics of a fully transparent resistive random-access memory (T-RRAM) device based on indium-tin-oxide (ITO) electrodes.
Sungjun Kim, Jongmin Park, Kim Sungjun   +2 more
exaly   +2 more sources

Neuromorphic engineering: Artificial brains for artificial intelligence

Annals of the New York Academy of Sciences
Neuromorphic engineering is a research discipline that tries to bridge the gaps between neuroscience and engineering, cognition and algorithms, and natural and artificial intelligence.
Johannes Leugering
exaly   +2 more sources

Oxygen Vacancy Engineering and Its Impact on Resistive Switching of Oxide Thin Films for Memory and Neuromorphic Applications

Chips
Oxygen vacancy engineering in metal oxides is a propitious route to modulate their resistive switching properties for memory and neuromorphic applications.
Biswajit Jana, Ayan Roy Chaudhuri
doaj   +2 more sources

Frontiers in Neuromorphic Engineering

Frontiers in Neuroscience, 2011
Giacomo eIndiveri, Timothy K Horiuchi
doaj   +3 more sources

Research topic: Neuromorphic Engineering Systems and ApplicationsA snapshot of neuromorphic systems engineering

Frontiers in Neuroscience, 2014
André eVan Schaik, Tobi eDelbruck, Jennifer eHasler   +2 more
doaj   +3 more sources

Dendritic Organic Electrochemical Transistors Grown by Electropolymerization for 3D Neuromorphic Engineering [PDF]

Advancement of science, 2021
One of the major limitations of standard top‐down technologies used in today's neuromorphic engineering is their inability to map the 3D nature of biological brains.
Kamila Janzakova, Mahdi Ghazal, Ankush Kumar, Y. Coffinier, Sébastien Pecqueur, F. Alibart   +5 more
semanticscholar   +1 more source

Multifilamentary switching of Cu/SiOx memristive devices with a Ge-implanted a-Si underlayer for analog synaptic devices

NPG Asia Materials, 2023
Various memristive devices have been proposed for use in neuromorphic computing systems as artificial synapses. Analog synaptic devices with linear conductance updates during training are efficiently essential to train neural networks.
Keonhee Kim, Jae Gwang Lim, Su Man Hu, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Jongkil Park, Gyu Weon Hwang, Kyeong-Seok Lee, Seongsik Park, Wook-Seong Lee, Byeong-Kwon Ju, Jong Keuk Park, Inho Kim   +14 more
doaj   +1 more source