Results 21 to 30 of about 22,264 (276)
A Bioinspired Stretchable Sensory‐Neuromorphic System [PDF]
Advanced Materials, 2021 Abstract Conventional stretchable electronics that adopt a wavy design, a neutral mechanical plane, and conformal contact between abiotic and biotic interfaces have exhibited diverse skin‐interfaced applications. Despite such remarkable progress, the evolution of intelligent skin prosthetics is challenged by the ...
Sun Hong Kim +20 more
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Six networks on a universal neuromorphic computing substrate [PDF]
, 2013 In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of this system lies a mixed-signal chip, with analog implementations of neurons and synapses and ...
Andreas eGrübl +10 more
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Probing switching mechanism of memristor for neuromorphic computing
Nano Express, 2023 In recent, neuromorphic computing has been proposed to simulate the human brain system to overcome bottlenecks of the von Neumann architecture. Memristors, considered emerging memory devices, can be used to simulate synapses and neurons, which are the ...
Zhe Yang +5 more
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Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts
Sensors, 2022 Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning and processing of multivariate feature-rich ...
Anup Vanarse +3 more
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Neuromorphic Electronic Systems [PDF]
Proceedings of the IEEE, 2015 It is shown that for many problems, particularly those in which the input data are ill-conditioned and the computation can be specified in a relative manner, biological solutions are many orders of magnitude more effective than those using digital methods.
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Topological Properties of Neuromorphic Nanowire Networks
Frontiers in Neuroscience, 2020 Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. Graph theory has increasingly been applied to neuroscience as a method to explore the fundamental structural and
Alon Loeffler +8 more
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On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor [PDF]
, 2019 Recent work suggests that synaptic plasticity dynamics in biological models of neurons and neuromorphic hardware are compatible with gradient-based learning (Neftci et al., 2019).
Neftci, Emre +3 more
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Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering [PDF]
Frontiers in Neuroscience, 2014 ISSN:1662 ...
Delbruck, Tobi +2 more
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An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot
Frontiers in Neuroscience, 2020 In this work, we present a neuromorphic architecture for head pose estimation and scene representation for the humanoid iCub robot. The spiking neuronal network is fully realized in Intel's neuromorphic research chip, Loihi, and precisely integrates the ...
Raphaela Kreiser +6 more
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A FPGA-Based Neuromorphic Locomotion System for Multi-Legged Robots
IEEE Access, 2017 The paper develops a neuromorphic system on a Spartan 6 field programmable gate array (FPGA) board to generate locomotion patterns (gaits) for three different legged robots (biped, quadruped, and hexapod).
Erick Israel Guerra-Hernandez +5 more
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