Results 11 to 20 of about 24,472 (312)
Toward a neuromorphic microphone [PDF]
Frontiers in Neuroscience, 2015 Neuromorphic systems are used in variety of circumstances: as parts of sensory systems, for modeling parts of neural systems and for analog signal processing. In the sensory processing domain, neuromorphic systems can be considered in three parts: pre-transduction processing, transduction itself, and post-transduction processing.
Smith, Leslie +2 more
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Neuromorphic spintronics [PDF]
Nature Electronics, 2020 Neuromorphic computing uses basic principles inspired by the brain to design circuits that perform artificial intelligence tasks with superior energy efficiency. Traditional approaches have been limited by the energy area of artificial neurons and synapses realized with conventional electronic devices. In recent years, multiple groups have demonstrated
J. Grollier +5 more
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Physics for neuromorphic computing [PDF]
Nature Reviews Physics, 2020 Neuromorphic computing takes inspiration from the brain to create energy efficient hardware for information processing, capable of highly sophisticated tasks. In this article, we make the case that building this new hardware necessitates reinventing electronics. We show that research in physics and material science will be key to create artificial nano-
Danijela Marković +3 more
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Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture [PDF]
, 2022 This short article explains why the Epiphany architecture is a proper refer- ence for digital large-scale neuromorphic design. We compare the Epiphany architecture with several modern digital neuromorphic processors.
Vadivel, Kanishkan +7 more
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Neuromorphic metasurface [PDF]
Photonics Research, 2019 Metasurfaces have been used to realize optical functions such as focusing and beam steering. They use subwavelength nanostructures to control the local amplitude and phase of light. Here we show that such control could also enable a new function of artificial neural inference.
Zhicheng Wu +4 more
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CoRR, 2020 Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biological organization of neural systems to develop novel technology for computing, sensing, and actuating. The unique properties of such systems call for new signal processing and control paradigms.
Luka Ribar, Rodolphe Sepulchre
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Frontiers in Neuromorphic Engineering [PDF]
Frontiers in Neuroscience, 2011 ISSN:1662 ...
Indiveri, G, Horiuchi, T K
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CoRR, 2023 A neuromorphic SLAM system shows potential for more efficient implementation than its traditional counterpart. We demonstrate a mixed-mode implementation for spatial encoding neurons including theta cells, vector cells, and place cells. Together, they form a biologically plausible network that could reproduce the localization functionality of place ...
Zhaoqi Chen, Ralph Etienne-Cummings
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IEEE Access, 2022 Neuromorphic hardware is a system with massive potential to enable efficient computing by mimicking the human brain. The novel system processes information using neuron spikes (Action Potentials) and the synaptic connections between neurons are trained ...
Suman Hu +11 more
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Crystals, 2021 A synaptic device that contains weight information between two neurons is one of the essential components in a neuromorphic system, which needs highly linear and symmetric characteristics of weight update.
Minkyung Kim +10 more
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