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Variability, compensation and homeostasis in neuron and network function
Nature Reviews Neuroscience, 2006Neurons in most animals live a very long time relative to the half-lives of all of the proteins that govern excitability and synaptic transmission. Consequently, homeostatic mechanisms are necessary to ensure stable neuronal and network function over an animal's lifetime.
Eve, Marder, Jean-Marc, Goaillard
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Dissipation in Phase-Compensating Networks
Proceedings of the IRE, 1935The effects of dissipation in the lattice-type, phase-compensating network are considered. There are three effects: (1) the phase shift is slightly different from the ideal calculated value; (2) there is introduced an attenuation; (3) the image impedance varies, especially near the frequencies of resonance and antiresonance of the lattice arms.
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Collaboration framework for data compensation in sensor networks
2008 IEEE International Conference on Electro/Information Technology, 2008This paper proposes a new approach of modeling the collaboration of sensor system artifacts to address the security and survivability concerns of sensor networks. The model considered is composed of sensors, base and users. Sensors are nodes that acquire and process data.
Pierre F. Tiako, Le Gruenwald
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Compensation of networked control systems with time-delay
2014 IEEE 13th International Workshop on Advanced Motion Control (AMC), 2014In recent years, networked control system (NCS) has been receiving much attention due to shared networkc channels with improved communication device. In NCS, data-dropout and delay are unavoidable. In practical systems, some constraints have to be considered independent of communication.
Tsunenori Mori +3 more
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Compensation-based control for lossy communication networks
International Journal of Control, 2012In this paper, we are concerned with the stability analysis and the design of stabilising compensation-based control algorithms for networked control systems (NCSs) that exhibit packet dropouts. In order to increase the robustness against packet dropouts for such NCSs, we propose a new type of model-based dropout compensator, which depends on the local
T. M. P. Gommans +3 more
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Speech Loss Compensation by Generative Adversarial Networks
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019Speech loss, including frequency loss and packet loss, can lead to significant speech distortion in many Internet-based speech communication services. In this study, a generative adversarial networks (GANs) structure, which takes deep convolutional neural networks (CNN) as the generator and discriminator components, is adopted as a general framework ...
Yupeng Shi +3 more
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Channel and Constraint Compensation for Generative Adversarial Networks
2019In this paper, we propose channel and constraint compensation mechanism applied in Generative Adversarial Networks (GANs) to help distribution fitting and improve the visual quality of generated samples. The proposed channel compensation focuses on specific feature-related regions by weighting the channel of conv-layer feature maps, so specific feature
Wei Wang 0210 +2 more
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Does lobbying of firms complement executive networks in determining executive compensation?
International Journal of Finance and Economics, 2021Monomita Nandy, Suman Lodh
exaly
Sensitivity and attenuation compensated training of multilayered networks
Neural Parallel Sci. Comput., 1998Summary: Until recently, most studies of feedforward networks have focused on depth 2 networks (i.e., networks with one hidden layer only). Theoretical and empirical investigations of deep networks have been hindered by difficulties in mathematical analysis and practical training of these networks. In this paper, some of the reasons for this difficulty
T. Yin, Haroon A. Babri, Dinesh P. Mital
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