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A Review of Embedded Artificial Intelligence Research (2023-2026): Technological Advancements, Representative Advances, and Future Prospects. [PDF]
Micromachines (Basel)Zhang Z.
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Data-In-situ Computing with One-Pixel-Multiple-Memristor Architecture for Neuromorphic Sequential Vision. [PDF]
Nat CommunSun Y +11 more
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Towards a Neuromorphic Vestibular System
IEEE Transactions on Biomedical Circuits and Systems, 2014 The vestibular system plays a crucial role in the sense of balance and spatial orientation in mammals. It is a sensory system that detects both rotational and translational motion of the head, via its semicircular canals and otoliths respectively. In this work, we propose a real-time hardware model of an artificial vestibular system, implemented using ...
Federico Corradi +5 more
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Current Opinion in Neurobiology, 2010
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
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Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
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Benchmarking of Neuromorphic Hardware Systems
Proceedings of the Neuro-inspired Computational Elements Workshop, 2020With more and more neuromorphic hardware systems for the acceleration of spiking neural networks available in science and industry, there is a demand for platform comparison and performance estimation of such systems. This work describes selected benchmarks implemented in a framework with exactly this target: independent black-box benchmarking and ...
Christoph Ostrau +3 more
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MNSIM: Simulation Platform for Memristor-based Neuromorphic Computing System
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2017 Memristor-based computation provides a promising solution to boost the power efficiency of the neuromorphic computing system. However, a behavior-level memristor-based neuromorphic computing simulator, which can model the performance and realize an early
Lixue Xia, Peng Gu, Pai-Yu Chen
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Neuromorphic Selective Attention Systems
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003Selective attention mechanisms allow sensory systems with limited processing capacity to function in real time independent of the size of the stimulus input space. They can be particularly useful in vision systems, where the amount of information provided by the sensors typically exceeds the system's processing capacity.
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2007
The essential functions of neurons can be emulated electronically on silicon chips. We describe such a neuron analogue, or neuromorph, that is compact and low power, with sufficient flexibility that it could perform as a general-purpose unit in networks for controlling robots or for use as implantable neural prostheses.
David P. M. Northmore +2 more
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The essential functions of neurons can be emulated electronically on silicon chips. We describe such a neuron analogue, or neuromorph, that is compact and low power, with sufficient flexibility that it could perform as a general-purpose unit in networks for controlling robots or for use as implantable neural prostheses.
David P. M. Northmore +2 more
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Introduction to memristors and neuromorphic systems
Materials HorizonsXiaodong Chen, Cheol Seong Hwang, Yoeri van de Burgt and Francesca Santoro present a themed collection in Materials Horizons and Nanoscale Horizons gathering the latest developments in memristive materials, device fabrication, characterization and circuit design for neuromorphic systems.
Chen, Xiaodong +3 more
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