Results 31 to 40 of about 305,411 (311)
A scalable approach to optimize traffic signal control with federated reinforcement learning
Scientific Reports, 2023 Intelligent Transportation has seen significant advancements with Deep Learning and the Internet of Things, making Traffic Signal Control (TSC) research crucial for reducing congestion, travel time, emissions, and energy consumption.
Jingjing Bao +5 more
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Metamorphosing motor networks [PDF]
Current Biology, 2019 Many animals undergo a transition during their lifetime from a larval to an adult form, a major developmental change known as metamorphosis. This developmental process, which involves behavioural, morphological, physiological and biochemical changes, has a broad phylogenetic distribution, occurring in diverse branches of the animal kingdom, from ...
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Energies, 2023 This article presents the properties of EtG synthetic fuel (Ethanol to Gasoline) as a substitute for fuels in an installation using ethanol from food waste as a raw material.
Krzysztof Biernat +2 more
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Motor network degeneration in amyotrophic lateral sclerosis: a structural and functional connectivity study. [PDF]
PLoS ONE, 2010 BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by motor neuron degeneration. How this disease affects the central motor network is largely unknown.
Esther Verstraete +6 more
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Motor Networks: Shifting Coalitions [PDF]
Current Biology, 2007 Are central motor networks composed of task-specific dedicated neurons or are the neurons multifunctional, entering shifting coalitions for particular tasks to form different functional networks? Recent experiments elegantly indicate the latter.
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Application of Power Spectrum, Cepstrum, Higher Order Spectrum and Neural Network Analyses for Induction Motor Fault Diagnosis [PDF]
, 2013 The power spectrum is defined as the square of the magnitude of the Fourier transform (FT) of a signal. The advantage of FT analysis is that it allows the decomposition of a signal into individual periodic frequency components and establishes the ...
Liang, B. +4 more
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Frontiers in Neuroscience, 2018 Interventional therapy using brain-computer interface (BCI) technology has shown promise in facilitating motor recovery in stroke survivors; however, the impact of this form of intervention on functional networks outside of the motor network specifically
Rosaleena Mohanty +25 more
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Deep networks for motor control functions [PDF]
Frontiers in Computational Neuroscience, 2015 The motor system generates time-varying commands to move our limbs and body. Conventional descriptions of motor control and learning rely on dynamical representations of our body's state (forward and inverse models), and control policies that must be integrated forward to generate feedforward time-varying commands; thus these are representations across
Max Berniker, Konrad P. Körding
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Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis
Frontiers in Neuroscience, 2018 Despite the established effectiveness of the brain-computer interface (BCI) therapy during stroke rehabilitation (Song et al., 2014a, 2015; Young et al., 2014a,b,c, 2015; Remsik et al., 2016), little is understood about the connections between motor ...
Mohsen Mazrooyisebdani +17 more
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Neurons, Networks, and Motor Behavior [PDF]
Neuron, 1996 The field of motor pattern generation and motor control has progressed markedly in the last decade. There has been a revolutionary shift in thinking from hard-wired circuits to multifunctional networks. Yet, it is clear that we still have a long way to go before we understand how very large ensembles of neurons produce behaviors.
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