The electrical stimulation of the optic nerve is investigated, as an approach to the development of a microsystems-based visual prosthesis. Non-linear prediction models, i.e. artificial neural networks, for phosphene localisation are used and show promising results. The prediction error is reduced up to 20% in comparison with linear statistical models and the error standard deviation is restrai...

The electrical stimulation of the optic nerve is investigated, as an approach to the development of a microsystems-based visual prosthesis. Non-linear prediction models, i.e. artificial neural networks, for phosphene localisation are used and show promising results. The prediction error is reduced up to 20% in comparison with linear statistical models and the error standard deviation is restrai...

In this paper, semi-analytical method for asymmetrical eccentrically stiffened FGM cylindrical shells under external pressure and surrounded by a linear and non-linear elastic foundation is presented. The proposed linear model is based on two parameter elastic foundation Winkler and Pasternak. According to the von Karman nonlinear equations and the classical plate theory of shells, strain-displ...

this study was conducted to determine the use of three-dimensional ultrasonography (3du) in ocular imaging of the dog and measuring of its optical axis. 12 healthy mixed-breed dogs including 6 males and 6 females were studied. 3du of the eyes were done using a 5–12 mhz linear trapezoid transducer. 3du of the eyes were evaluated and the normal optical long axis through a line between the cornea ...

The technique of estimating the complex frequency components a signal in presence noise based on assumptions about number is known as estimation. problem estimation appears when we receive from transmitter with frequency, and it often radar, sonar, etc. applications. This has been dealt by various techniques algorithms. research shows methods used researchers to estimate paper discusses between...

Optic flow motion analysis represents an important family of visual information processing techniques in computer vision. Segmenting an optic flow field into coherent motion groups and estimating each underlyiiig motion is a very challenging task when the optic flow field is projected from a scene of several independently moving objects. The problem is further complicated if the optic flow data...

Introduction: Multiple sclerosis (MS) is a chronic, autoimmune, and inflammatory nervous system disease. It leads to the loss of myelin in the white matter of brain, spinal cord and optic nerves. As a chronic disease with sudden and unpredictable Side effects and complications of the disease will lead to disability and dependency in life. Causes neurologic symptoms and sig. The purpose of the p...