Results 41 to 50 of about 31,264 (300)
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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Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays [PDF]
, 2012 Axonal delays are used in neural computation to implement faithful models of biological neural systems, and in spiking neural networks models to solve computationally demanding tasks. While there is an increasing number of software simulations of spiking
Sadique Sheik +8 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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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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Editorial: Neuromorphic engineering for robotics [PDF]
, 2023 Neuromorphic engineering aims to apply insights from neurobiology to develop next-generation artificial intelligence for computation, sensing, and the control of robotic systems.
Knoll, Alois +2 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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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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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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