Results 21 to 30 of about 10,988 (267)
Neuromorphic Analogue VLSI [PDF]
Annual Review of Neuroscience, 1995 Neuromorphic systems emulate the organization and function of nervous systems. They are usually composed of analogue electronic circuits that are fabricated in the complementary metal-oxide-semiconductor (CMOS) medium using very large-scale integration (VLSI) technology.
Douglas, Rodney +2 more
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Simulation-based inference for model parameterization on analog neuromorphic hardware
Neuromorphic Computing and Engineering, 2023 The BrainScaleS-2 (BSS-2) system implements physical models of neurons as well as synapses and aims for an energy-efficient and fast emulation of biological neurons.
Jakob Kaiser +4 more
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Application of Soft-Clustering to Assess Consciousness in a CLIS Patient
Brain Sciences, 2022 Completely locked-in (CLIS) patients are characterized by sufficiently intact cognitive functions, but a complete paralysis that prevents them to interact with their surroundings.
Sophie Adama, Martin Bogdan
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The influence of astrocytic leaflet motility on ionic signalling and homeostasis at active synapses
Scientific Reports, 2023 Astrocytes display a highly complex, spongiform morphology, with their fine terminal processes (leaflets) exercising dynamic degrees of synaptic coverage, from touching and surrounding the synapse to being retracted from the synaptic region.
Marinus Toman +7 more
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Frontiers in Neuroscience, 2022 Earth orbit is a limited natural resource that hosts a vast range of vital space-based systems that support the international community's national, commercial and defence interests.
Nicholas Ralph +7 more
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Memristor Degradation Analysis Using Auxiliary Volt-Ampere Characteristics
Micromachines, 2022 The memristor is one of the modern microelectronics key devices. Due to the nanometer scale and complex processes physic, the development of memristor state study approaches faces limitations of classical methods to observe the processes.
Georgy Teplov +8 more
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Self-Organizing Multiple Readouts for Reservoir Computing
IEEE Access, 2023 With advancements in deep learning (DL), artificial intelligence (AI) technology has become an indispensable tool. However, the application of DL incurs significant computational costs, making it less viable for edge AI scenarios.
Yuichiro Tanaka, Hakaru Tamukoh
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Neuromorphic Robot Dream [PDF]
BioNanoScience, 2016 In this paper we present the next step in our approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the "day" and the "night" phases of mammalian life. During the "day phase" a robotic system stores the inbound information and is controlled by
Alexander Tchitchigin +3 more
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Martingales and the fixation time of evolutionary graphs with arbitrary dimensionality
Royal Society Open Science, 2022 Evolutionary graph theory (EGT) investigates the Moran birth–death process constrained by graphs. Its two principal goals are to find the fixation probability and time for some initial population of mutants on the graph.
Travis Monk, André van Schaik
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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.
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