The role of proprioception in the self-optimization of the neural network mediating the redundant vestibulo-ocular reflex

1988 ◽  
Vol 1 ◽  
pp. 331
Keyword(s):  
Neural Network ◽  
The Self ◽  
Ocular Reflex ◽  
The Neural Network ◽  
Vestibulo Ocular Reflex

scholarly journals Evaluation of the Dreicer runaway generation rate in the presence of high- impurities using a neural network

2019 ◽  
Vol 85 (6) ◽  
Author(s):  
L. Hesslow ◽  
L. Unnerfelt ◽  
O. Vallhagen ◽  
O. Embreus ◽  
M. Hoppe ◽  
...  
Keyword(s):  
Neural Network ◽  
Runaway Electron ◽  
The Self ◽  
Generation Rate ◽  
Integrated Modelling ◽  
Plasma Parameters ◽  
The Neural Network ◽  
Wide Range ◽  
Self Consistent ◽  
Computationally Expensive

Integrated modelling of electron runaway requires computationally expensive kinetic models that are self-consistently coupled to the evolution of the background plasma parameters. The computational expense can be reduced by using parameterized runaway generation rates rather than solving the full kinetic problem. However, currently available generation rates neglect several important effects; in particular, they are not valid in the presence of partially ionized impurities. In this work, we construct a multilayer neural network for the Dreicer runaway generation rate which is trained on data obtained from kinetic simulations performed for a wide range of plasma parameters and impurities. The neural network accurately reproduces the Dreicer runaway generation rate obtained by the kinetic solver. By implementing it in a fluid runaway-electron modelling tool, we show that the improved generation rates lead to significant differences in the self-consistent runaway dynamics as compared to the results using the previously available formulas for the runaway generation rate.

scholarly journals Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering

Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1832
Author(s):  
Wojciech Sitek ◽  
Jacek Trzaska
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Vital Role ◽  
Materials Engineering ◽  
The Neural Network ◽  
Critical Issues ◽  
Artificial Neural ◽  
The Individual

Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys. New publications show examples of the use of artificial neural networks in this area, which appear regularly. The paper presents an overview of these publications. Attention was paid to critical issues related to the design of artificial neural networks. There have been presented our suggestions regarding the individual stages of creating and evaluating neural models. Among other things, attention was paid to the vital role of the dataset, which is used to train and test the neural network and its relationship to the artificial neural network topology. Examples of approaches to designing neural networks by other researchers in this area are presented.

scholarly journals Role of electronystagmography as a definitive tool in evaluation of vertigo: a clinical study

2021 ◽  
Vol 7 (6) ◽  
pp. 1026
Author(s):  
C. B. Nandyal ◽  
Ramchandra .
Keyword(s):  
Clinical Study ◽  
Screening Tool ◽  
Optimal Conditions ◽  
Special Significance ◽  
First Line ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex ◽  
Benign Positional Paroxysmal Vertigo ◽  
The Brain

<p class="abstract"><strong>Background:</strong> Vertigo is one of the most distressing symptoms. It is difficult to identify, practically impossible to measure and not easy to treat. Electronystagmography (ENG) objectively records eye movements and thus tests the functional integrity of vestibulo-ocular reflex and its connections from inner ear to the brain. Hence, this present study was taken to evaluate the role of ENG in the diagnosis of vertigo, to know the peripheral, central and other causes of vertigo and to know the side of lesion. The aim of this study was to evaluate the role of ENG in the diagnosis of vertigo, to know the peripheral, central and other causes of vertigo and to know the side of lesion.</p><p class="abstract"><strong>Methods:</strong> This study included 60 patients who presented with primary complaints of vertigo or dizziness. Patients were subjected to ENG under optimal conditions and the results were obtained in the form of a graphical recordings after analysis of the ENG data.</p><p class="abstract"><strong>Results:</strong> Of the 60 patients subjected to ENG, a peripheral cause was seen in 33 patients. 21 patients were diagnosed with benign positional paroxysmal vertigo (BPPV), whereas 06 patients showed a central lesion of the vestibular system.</p><p class="abstract"><strong>Conclusions:</strong> ENG acts as a useful screening tool to differentiate between peripheral cause of vertigo and central cause of vertigo. It has special significance in localizing the side of the lesion. Hence, ENG has proven to be a useful first line investigation in the diagnosis of vertigo.</p>

scholarly journals The Advanced Algorithmic Method for Navigation System Correction of Spacecraft

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Danhe Chen ◽  
K. A. Neusypin ◽  
Xiang Zhang ◽  
Chuangge Wang
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Navigation System ◽  
Parallel Implementation ◽  
The Self ◽  
Self Organization ◽  
Error Prediction ◽  
Measurement Systems ◽  
The Neural Network ◽  
Autonomous Mode

In this paper an advanced method for the navigation system correction of a spacecraft using an error prediction model of the system is proposed. Measuring complexes have been applied to determine the parameters of a spacecraft and the processing of signals from multiple measurement systems is carried out. Under the condition of interference in flight, when the signals of external system (such as GPS) disappear, the correction of navigation system in autonomous mode is considered to be performed using an error prediction model. A modified Volterra neural network based on the self-organization algorithm is proposed in order to build the prediction model, and the modification of algorithm indicates speeding up the neural network. Also, three approaches for accelerating the neural network have been developed; two examples of the sequential and parallel implementation speed of the system are presented by using the improved algorithm. In addition, simulation for a returning spacecraft to atmosphere is performed to verify the effectiveness of the proposed algorithm for correction of navigation system.

scholarly journals Role of Cerebellum in Motion Perception and Vestibulo-ocular Reflex—Similarities and Disparities

2012 ◽  
Vol 12 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Aasef G. Shaikh ◽  
Antonella Palla ◽  
Sarah Marti ◽  
Itsaso Olasagasti ◽  
Lance M. Optican ◽  
...  
Keyword(s):  
Motion Perception ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex
Sign in / Sign up

Export Citation Format

Share Document