Digital chaos analysis in optical logic structures

Digital chaotic behavior in an optically processing element is analyzed. It was obtained as the result of processing two fixed trains of bits. The process is performed with an optically programmable logic gate. Possible outputs, for some specific conditions of the circuit, are given. Digital chaotic behavior is obtained, by using a feedback configuration. Different ways to analyze a digital chaotic signal are presented

Digital chaos synchronization in optical networks

A possible approach to the synchronization of chaotic circuits is reported. It is based on an Optically Programmable Logic Cell and as a consequence its output is digital, its application to cryptography in Optical Communications comes directly from its properties. The model here presented is based on a computer simulation

An approach to visual cortex operation: optical neuron model

Several works have been published in the last years concerning the modelling and implementation of the visual cortex operation. Most of them present simple neurons with just two different responses, namely inhibitory and excitatory. Some of the different types of visual cortex cells are simulated in these configurations

Analysis of large-scale digital optical neural networks by Feynman diagrams

A new method to study large scale neural networks is presented in this paper. The basis is the use of Feynman- like diagrams. These diagrams allow the analysis of collective and cooperative phenomena with a similar methodology to the employed in the Many Body Problem. The proposed method is applied to a very simple structure composed by an string of neurons with interaction among them. It is shown that a new behavior appears at the end of the row. This behavior is different to the initial dynamics of a single cell. When a feedback is present, as in the case of the hippocampus, this situation becomes more complex with a whole set of new frequencies, different from the proper frequencies of the individual neurons. Application to an optical neural network is reported

Logic cells as basic structures to add/drop WDM information signals

Nowadays, in order to take advantage of fiber optic bandwidth, any optical communications system tends to be WDM. The way to extract a channel, characterized by a wavelength, from the optical fiber is to filter the specific wavelength. This gives the systems a low degree of freedom due to the fact of the static character of most of the employed devices. In this paper we will present a different way to extract channels from an optical fiber with WDM transmission. The employed method is based on an Optically Programmable Logic Cells (OPLC) previously published by us, for other applications as a chaotic generator or as basic element for optical computing. In this paper we will describe the configuration of the OPLC to be employed as a dropping device. It acts as a filter because it will extract the data carried by a concrete wavelength. It does depend, internally, on the wavelength. We will show how the intensity of the signal is able to select the chosen information from the line. It will be also demonstrated that a new idea of redundant information it is the way of selecting the concrete wavelength. As a matter of fact this idea is apparently the only way to use the OPLC as a dropping device. Moreover, based on these concepts, a similar way to route signals to different routes is reported. The basis is the use of photonic switching configurations, namely Batcher or Bayan structures, where the unit switching cells are the above indicated OPLCs

Algunas consideraciones sobre la formación de titulados en tecnologías emergentes

Uno de los problemas más cruciales que se presenta en cualquier país cuando se pretende realizar una planificación más o menos ajustada a los objetivos que se desean alcanzar, es el de adecuar el número de profesionales en una determinada tecnología a las necesidades reales que en cada momento puedan presentarse. Este hecho, que ha llegado a tener repercusiones de carácter casi histórico en épocas pasadas, cuando se registraron saltos bruscos de un tipo de sociedad a otra, se está produciendo hoy de manera casi continua en la mayor parte de los países, tanto desarrollados como en vías de desarrollo como se verá en el presente artículo, las crisis de exceso de un tipo de profesionales en unas áreas y las de escasez de otras, está siendo un hecho habitual tanto en empresas, sean del tamaño que sean, como en entornos académicos e incluso en países y el bloques socioeconómicos como un todo

Desarrollo de elementos holográficos para interconexión en computación óptica

Parallel processing systems require complex interconnection networks. In order to obtain fast and flexible communications at a reasonable cost, different types of networks has been studied in the past. None of them can be considered best. The cost-effectiveness of a particular network design depends of several factors that will not be treat here. Nevertheless, the basic device that configurate an interconnection network can be the same for most of them. In this way, an Optical Interconetion Network made with Holographic Optical Element (HOE) is presented. The HOE recording way use present special caracteristics that are described. A Perfect Shuffle and Banyan networks has been implemented

Influencias de la tecnología militar en la sociedad civil

No es el objetivo de estas líneas el avance por un camino que vaya señalando cómo muchas de las etapas tecnológicas que la sociedad civil ha seguido a lo largo de la Historia son el reflejo de una actividad previa en el sector militar. Esto constituiría más el desarrollo histórico de un segmento de la política científica de los Estados que el análisis ele las repercusiones que la tecnología de Defensa ha tenido sobre el entorno civil. De hecho, las políticas de Defensa han tenido, a lo largo de los siglos, una incidencia notoria sobre los sistemas ele Ciencia y Tecnología en los diferentes países

Some aspects of amacrine neuron simulation for motion detection

As it is known, there are five types of neurons in the mammalian retinal layer allowing the detection of several important characteristics of the visual image impinging onto the visual system, namely, photoreceptors, horizontal cells, amacrine, bipolar and ganglion cells. And it is a well known fact too, that the amacrine neuron architecture allows a first detection for objects motion, being the most important retinal cell to this function. We have already studied and simulated the Dowling retina model and we have verified that many complex processes in visual detection is performed with the basis of the amacrine cell synaptic connections. This work will show how this structure may be employed for motion detectio

Use of Feynman diagrams in large-scale neural networks with nonlinear behaviour

A new proposal to the study of large-scale neural networks is reported. It is based on the use of similar graphs to the Feynman diagrams. A first general theory is presented and some interpretations are given. A propagator, based on the Green's function of the neuron, is the basis of the method. Application to a simple case is reported