Results 11 to 20 of about 22,264 (276)
Neuromorphic antennal sensory system
Nature CommunicationsInsect antennae facilitate the nuanced detection of vibrations and deflections, and the non-contact perception of magnetic or chemical stimuli, capabilities not found in mammalian skin. Here, we report a neuromorphic antennal sensory system that emulates
Chengpeng Jiang +6 more
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Neuromorphic artificial intelligence systems
Frontiers in Neuroscience, 2022 Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the mammalian brain. In this article we discuss these limitations and ways to mitigate them. Next, we present an overview of currently available neuromorphic AI projects in which these
Dmitry Ivanov +6 more
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Neuromorphic motivated systems [PDF]
The 2011 International Joint Conference on Neural Networks, 2011 Although reinforcement learning has been extensively modeled, few agent models that incorporate values use biologically plausible neural networks as a uniform computational architecture. We call biologically plausible neural network architecture neuromorphic. This paper discusses some theoretical constraints on neuromorphic intrinsic value systems [3].
James Daly, Jacob Brown, Juyang Weng
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Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition [PDF]
, 2015 A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density.
Saxena, Vishal, Wu, Xinyu, Zhu, Kehan
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A versatile neuromorphic system based on simple neuron model
AIP Advances, 2019 Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected architectures makes it challenging to build a large-scale neuromorphic system.
C. M. Zhang +7 more
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Emerging Materials for Neuromorphic Devices and Systems
iScience, 2020 Neuromorphic devices and systems have attracted attention as next-generation computing due to their high efficiency in processing complex data. So far, they have been demonstrated using both machine-learning software and complementary metal-oxide ...
Min-Kyu Kim +3 more
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IEEE Access, 2021 Neuromorphic systems have shown improvements over the years, leveraging Spiking neural networks (SNN) event-driven nature to demonstrate low power consumption.
Ogbodo Mark Ikechukwu +2 more
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A geographically distributed bio-hybrid neural network with memristive plasticity [PDF]
, 2017 Throughout evolution the brain has mastered the art of processing real-world inputs through networks of interlinked spiking neurons. Synapses have emerged as key elements that, owing to their plasticity, are merging neuron-to-neuron signalling with ...
Corna, Andrea +10 more
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Frontiers in Neuroscience, 2011 State-of-the-art large scale neuromorphic systems require sophisticated spike event communication between units of the neural network. We present a high-speed communication infrastructure for a waferscale neuromorphic system, based on application ...
Stefan eScholze +9 more
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Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor [PDF]
, 2018 Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent parallelism make neuromorphic computing a promising paradigm for building ...
Glatz, Sebastian +4 more
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