Results 41 to 50 of about 24,472 (312)
A VLSI neuromorphic device for implementing spike-based neural networks
, 2011 Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).We present a neuromorphic VLSI device which comprises hybrid analog/digital ...
Morabito, C. F. +5 more
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Neuromorphic liquids, colloids, and gels: a review
, 2022 Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of traditional electronic components, be deformable and stretch resistant.
Alessandro, Chiolerio +3 more
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Research, 2022 As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size.
Zhongrong Wang +15 more
doaj +1 more source
Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System
, 2006 Chicca E, Lichtsteiner P, Delbruck T, Indiveri G, Douglas RJ. Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System. Presented at the Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS).The growing interest in ...
Douglas, R. J. +4 more
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Preparation and transport property of nano-Li4Ti5O12 anode materials
Cailiao gongcheng, 2021 Li4Ti5O12 (LTO) anode materials are successfully prepared by sol-gel method using butyl phthalate and lithium acetate as precursors.The phase and morphology of the material were characterized by X-ray diffraction,scanning electron microscopy and ...
LIAN Tian-rou +6 more
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Accelerated neuromorphic cybernetics [PDF]
, 2021 Accelerated mixed-signal neuromorphic hardware refers to electronic systems that emulate electrophysiological aspects of biological nervous systems in analog voltages and currents in an accelerated manner. While the functional spectrum of these systems already includes many observed neuronal capabilities, such as learning or classification, some areas ...
openaire +3 more sources
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 C. Daly +2 more
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Systematic configuration and automatic tuning of neuromorphic systems
, 2011 In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons.
Sheik, S. +14 more
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Closed-loop sound source localization in neuromorphic systems
, 2023 Sound source localization (SSL) is used in various applications such as industrial noise-control, speech detection in mobile phones, speech enhancement in hearing aids and many more. Newest video conferencing setups use SSL.
Schoepe, Thorben +6 more
core +1 more source
Neuromorphic applications in medicine
Journal of Neural Engineering, 2023 Abstract In recent years, there has been a growing demand for miniaturization, low power consumption, quick treatments, and non-invasive clinical strategies in the healthcare industry. To meet these demands, healthcare professionals are seeking new technological paradigms that can improve diagnostic accuracy while ensuring patient ...
Khaled Aboumerhi +4 more
openaire +2 more sources