Results 21 to 30 of about 186,586 (268)
Cell Reports, 2018 Excitation and inhibition are highly specific in the cortex, with distinct synaptic connections made onto subtypes of projection neurons. The functional consequences of this selective connectivity depend on both synaptic strength and the intrinsic ...
Paul G. Anastasiades +2 more
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Extending stability through hierarchical clusters in Echo State Networks
Frontiers in Neuroinformatics, 2010 Echo State Networks (ESN) are reservoir networks that satisfy well-established criteria for stability when constructed as feedforward networks. Recent evidence suggests that stability criteria are altered in the presence of reservoir substructures, such ...
Sarah Jarvis +5 more
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Finding feedforward configurations using gramian based interaction measures [PDF]
Modeling, Identification and Control, 2021 A sparse control structure can be seen as a decentralised controller that is expanded to include feedforward or MIMO blocks. Here, use of the gramian based interaction measures to determine a sparse control structure with feedforward is examined.
Fredrik Bengtsson, Torsten Wik
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Laminar fMRI: applications for cognitive neuroscience [PDF]
, 2019 The cortex is a massively recurrent network, characterized by feedforward and feedback connections between brain areas as well as lateral connections within an area.
de Lange, Floris P. +3 more
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The Journal of Engineering, 2019 Three-phase four-leg inverters widely used in microgrid can effectively provide the power for the non-linear/unbalanced loads. Here, the non-linear composite controller is proposed for three-phase four-leg inverter system under [inline-formula] reference
Yuge Sun +3 more
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Phase correction for Learning Feedforward Control [PDF]
, 2003 Intelligent mechatronics makes it possible to compensate for effects that are difficult to compensate for by construction or by linear control, by including some intelligence into the system. The compensation of state dependent effects, e.g.
Kruif, Bas J. de, Vries, Theo J.A. de
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, 2017 Pain is an integrative phenomenon that results from dynamic interactions between sensory and contextual (i.e., cognitive, emotional, and motivational) processes.
Gross, Joachim +2 more
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Feedforward and Feedback-Based Retarded Proportional Controller of a Servomechanism
IEEE AccessIn this paper is introduced a methodology for solving the regulation and tracking control problem in servomechanisms through a Proportional Retarded controller with a Feedforward and Feedback (PR+FF) compensation scheme.
Manuel Alejandro Ojeda-Misses +4 more
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Enhanced HMAX model with feedforward feature learning for multiclass categorization
Frontiers in Computational Neuroscience, 2015 In recent years, the interdisciplinary research between neuroscience and computer vision has promoted the development in both fields. Many biologically inspired visual models are proposed, and among them, the Hierarchical Max-pooling model (HMAX) is a ...
Yinlin eLi +3 more
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Riemann-Theta Boltzmann Machine
, 2020 A general Boltzmann machine with continuous visible and discrete integer valued hidden states is introduced. Under mild assumptions about the connection matrices, the probability density function of the visible units can be solved for analytically ...
Carrazza, Stefano +3 more
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