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.

Quasi chaotic digital behaviour in an optically processing

Digital chaotic behavior in an optically processing element is reported. It is obtained as the result of processing two fixed train of bits. The process is performed with an Optically Programmable Logic Gate. Possible outputs for some specific conditions of the circuit are given. These outputs have some fractal characteristics, when input variations are considered. Digital chaotic behavior is obtained by using a feedback configuration. A random-like bit generator is presented.

Secure transmission of information by digital chaotic signals

Protecting signals is one of the main tasks in information transmission. A large number of different methods have been employed since many centuries ago. Most of them have been based on the use of certain signal added to the original one. When the composed signal is received, if the added signal is known, the initial information may be obtained. The main problem is the type of masking signal employed. One possibility is the use of chaotic signals, but they have a first strong limitation: the need to synchronize emitter and receiver. Optical communications systems, based on chaotic signals, have been proposed in a large number of papers. Moreover, because most of the communication systems are digital and conventional chaos generators are analogue, a conversion analogue-digital is needed. In this paper we will report a new system where the digital chaos is obtained from an optically programmable logic structure. This structure has been employed by the authors in optical computing and some previous results in chaotic signals have been reported. The main advantage of this new system is that an analogue-digital conversion is not needed. Previous works by the authors employed Self-Electrooptical Effect Devices but in this case more conventional structures, as semiconductor laser amplifiers, have been employed. The way to analyze the characteristics of digital chaotic signals will be reported as well as the method to synchronize the chaos generators located in the emitter and in the receiver.

Analysis of digital chaotic optical signals

The main objective of this paper is to present some tools to analyze a digital chaotic signal. We have proposed some of them previously, as a new type of phase diagrams with binary signals converted to hexadecimal. Moreover, the main emphasis will be given in this paper to an analysis of the chaotic signal based on the Lempel and Ziv method. This technique has been employed partly by us to a very short stream of data. In this paper we will extend this method to long trains of data (larger than 2000 bit units). The main characteristics of the chaotic signal are obtained with this method being possible to present numerical values to indicate the properties of the chaos.

Strange attractor in optical logic cells

Optical logic cells, employed in several tasks as optical computing or optically controlled switches for photonic switching, offer a very particular behavior when the working conditions are slightly modified. One of the more striking changes occurs when some delayed feedback is applied between one of the possible output gates and a control input. Some of these new phenomena have been studied by us and reported in previous papers. A chaotic behavior is one of the more characteristic results and its possible applications range from communications to cryptography. But the main problem related with this behavior is the binary character of the resulting signal. Most of the nowadays-employed techniques to analyze chaotic signals concern to analogue signals where algebraic equations are possible to obtain. There are no specific tools to study digital chaotic signals. Some methods have been proposed. One of the more used is equivalent to the phase diagram in analogue chaos. The binary signal is converted to hexadecimal and then analyzed. We represented the fractal characteristics of the signal. It has the characteristics of a strange attractor and gives more information than the obtained from previous methods. A phase diagram, as the one obtained by previous techniques, may fully cover its surface with the trajectories and almost no information may be obtained from it. Now, this new method offers the evolution around just a certain area being this lines the strange attractor.

Time evolution of frequency components In a chaotic digital signal

The type of signals obtained has conditioned chaos analysis tools. Almost in every case, they have analogue characteristics. But in certain cases, a chaotic digital signal is obtained and theses signals need a different approach than conventional analogue ones. The main objective of this paper will be to present some possible approaches to the study of this signals and how information about their characteristics may be obtained in the more straightforward possible way. We have obtained digital chaotic signals from an Optical Logic Cell with some feedback between output and one of the possible control gates. This chaos has been reported in several papers and its characteristics have been employed as a possible method to secure communications and as a way to encryption. In both cases, the influence of some perturbation in the transmission medium gave problems both for the synchronization of chaotic generators at emitter and receiver and for the recovering of information data. A proposed way to analyze the presence of some perturbation is to study the noise contents of transmitted signal and to implement a way to eliminate it. In our present case, the digital signal will be converted to a multilevel one by grouping bits in packets of 8 bits and applying conventional methods of time-frequency analysis to them. The results give information about the change in signals characteristics and hence some information about the noise or perturbations present. Equivalent representations to the phase and to the Feigenbaum diagrams for digital signals are employed in this case.

Transmission of digital chaotic and information-bearing signals in optical communication systems

A new proposal to have secure communications in a system is reported. The basis is the use of a synchronized digital chaotic systems, sending the information signal added to an initial chaos. The received signal is analyzed by another chaos generator located at the receiver and, by a logic boolean function of the chaotic and the received signals, the original information is recovered. One of the most important facts of this system is that the bandwidth needed by the system remain the same with and without chaos.

Optically programmable logic cells as basic units for transmission and synchronization of chaotic signals

We proposed an optical communications system, based on a digital chaotic signal where the synchronization of chaos was the main objective, in some previous papers. In this paper we will extend this work. A way to add the digital data signal to be transmitted onto the chaotic signal and its correct reception, is the main objective. We report some methods to study the main characteristics of the resulting signal. The main problem with any real system is the presence of some retard between the times than the signal is generated at the emitter at the time when this signal is received. Any system using chaotic signals as a method to encrypt need to have the same characteristics in emitter and receiver. It is because that, this control of time is needed. A method to control, in real time the chaotic signals, is reported.

Validación del método de predicción de direcciones principales de drenaje subterráneo en macizos anisótropos, en los terrenos volcánicos del macizo de Anaga, Tenerife

Actualmente y desde hace ya más de 25 años, el Método de “Predicción de las Direcciones Principales de Drenaje Subterráneo en Macizos Anisótropos”, ha sido utilizado con éxito en diferentes terrenos Kársticos como: calizas, yesos, cuarcitas, pizarras, granitos y criokarst (karst en el hielo glaciar). Sin embargo hasta ahora, nunca se había validado en terrenos volcánicos donde está focalizada esta tesis que lleva por título, Validación de dicho Método en los Terrenos Volcánicos del Macizo de Anaga en Tenerife. Este Método matemático consiste esencialmente en “Predecir y Cuantificar” las direcciones principales de drenaje turbulento subterráneo en macizos anisótropos. Para ello se basa en el estudio realizado en campo de los tectoglifos o deformaciones permanentes del macizo, impresas éstas en la roca, como consecuencia de los esfuerzos tectónicos a los que ha estado sometido dicho macizo. Se consigue de esta manera cubrir el vacío para macizos anisótropos que existe con el modelo matemático de flujo subterráneo laminar (macizos isótropos) definido por Darcy (1856). Para validar el Método se ha elegido el macizo de Anaga, pues es la zona de mayor anisotropía existente en la isla de Tenerife, conformada por una gran y extensa red de diques de diversas formas y tamaños que pertenecen a la familia de diques del eje estructural NE de la isla. En dicho macizo se realizó un exhaustivo trabajo de campo con la toma 331 datos (diques basálticos) y se aplicó el Método, consiguiendo definir las direcciones preferentes de drenaje subterráneo en el macizo de Anaga. Esta predicción obtenida se contrastó con la realidad del drenaje en la zona, conocida gracias a la existencia de cinco galerías ubicadas en la zona trabajo, de las cuales se tiene información sobre sus alumbramientos. En todos los casos se demuestra la bondad de la predicción obtenida con el Método. Queda demostrado que a mayor caos geológico o geotectónico, se ha conseguido mejor predicción del Método, obteniéndose resultados muy satisfactorios para aquellas galerías de agua en las que su rumbo de avance fue coincidente con la dirección perpendicular a la obtenida con la predicción dada por el Método, como dirección preferente de drenaje en la zona en la que se encuentra ubicada cada galería. No cabe duda que la validación de Método en los terrenos volcánicos de Tenerife, supondrá un cambio considerable en el mundo de la hidrogeología en este tipo de terrenos. Es la única herramienta matemática que se dispone para predecir un rumbo acertado en el avance de la perforación de las galerías de aguas, lo que conlleva al mismo tiempo un ahorro importantísimo en la ejecución de las obras. Por otro lado, el Método deja un importante legado a la sociedad canaria, pues con él se abren numerosas vías de trabajo e investigación que generarán un importante desarrollo en el mundo de la hidrogeología volcánica. ABSTRACT Currently and for over 25 years now, the Method of "Prediction of Subsurface Drainage Main Directions in Anisotropic Massifs" has been successfully used in various karstic terrains such as: limestone, gypsum, quartzite, slate, granite and criokarst (karst in the glacier ice). However, until now, it had never been validated in volcanic terrains where is focused this thesis entitled Validation of such Method in the Anaga Massif Volcanic Terrains, in Tenerife. This mathematical method is essentially "predict and quantify" the main directions of groundwater turbulent drainage in anisotropic massifs. This is based on field study of tectoglifes or permanent deformation of the massif, printed on the rocks as a result of previous tectonic stresses. Therefore it is possible to use in anisotropic rock mathematical model instead of the isotropic laminar flow mathematical models defined by Darcy (1856). The Anaga Massif have been chosen to validate the method, because it presents the greatest anisotropy in Tenerife Island, shaped by a large and extensive network of dikes of various shapes and sizes that belong to the family of NE structural axis dikes of the island. An exhaustive field work was carried out in such massif, with 331 collected data (basaltic dikes) and the method was applied, in order to define the preferred direction of the underground drainage in the Anaga massif. This obtained prediction was contrasted to the reality of the drainage in the area, known thanks to the existence of five galleries located in the work area, from which information about their springs was available. In all cases it was possible to demonstrate the fitness of the prediction obtained by the method. It had been demonstrated that a greater geological or geotectonic chaos enhances a better prediction of the method, that predicted very satisfactory results for those water galleries which directions were perpendicular to that predicted by the Method as a drainage preferential direction, for the zone where was located each gallery. No doubt that the validation of the use of the Method in the volcanic terrain of Tenerife, means a considerable change in the world of hydrogeology in this type of terrain. It is the only mathematical tool available to predict a successful drilling direction in advancing water galleries, what also leads to major savings in execution of the drilling works. Furthermore, the method leaves an important legacy to the Canary Islands society, because it opens many lines of work and research to generate a significant development in the world of volcanic hydrogeology.

Biophotonic and photobiological sensors: an attempt at a synthesizor approach

In order to try to apply nature-related learned concepts to optical sensors and to smart structures, and after some considerations concerning the differences between biophotonic andphotobiological sensors, some Sensory Physiology notions are presented. The influence of the subjective notions of perception are shown. Several examples are given of sensory illusions and the differences between seeing and interpreting. Different types of eyes, ranging from the compound to the mammalian eyes, are studied. A first interpretation of the previous facts concludes the paper as well as some considerations about the chaos as a possible tool to interpret them.

Functional hubs in mild cognitive impairment

We investigate how hubs of functional brain networks are modified as a result of mild cognitive impairment (MCI), a condition causing a slight but noticeable decline in cognitive abilities, which sometimes precedes the onset of Alzheimer's disease. We used magnetoencephalography (MEG) to investigate the functional brain networks of a group of patients suffering from MCI and a control group of healthy subjects, during the execution of a short-term memory task. Couplings between brain sites were evaluated using synchronization likelihood, from which a network of functional interdependencies was constructed and the centrality, i.e. importance, of their nodes was quantified. The results showed that, with respect to healthy controls, MCI patients were associated with decreases and increases in hub centrality respectively in occipital and central scalp regions, supporting the hypothesis that MCI modifies functional brain network topology, leading to more random structures.

Horizontal visibility graphs generated by type-I intermittency

The type-I intermittency route to (or out of) chaos is investigated within the horizontal visibility (HV) graph theory. For that purpose, we address the trajectories generated by unimodal maps close to an inverse tangent bifurcation and construct their associatedHVgraphs.We showhowthe alternation of laminar episodes and chaotic bursts imprints a fingerprint in the resulting graph structure. Accordingly, we derive a phenomenological theory that predicts quantitative values for several network parameters. In particular, we predict that the characteristic power-law scaling of the mean length of laminar trend sizes is fully inherited by the variance of the graph degree distribution, in good agreement with the numerics. We also report numerical evidence on how the characteristic power-law scaling of the Lyapunov exponent as a function of the distance to the tangent bifurcation is inherited in the graph by an analogous scaling of block entropy functionals defined on the graph. Furthermore, we are able to recast the full set of HV graphs generated by intermittent dynamics into a renormalization-group framework, where the fixed points of its graph-theoretical renormalization-group flow account for the different types of dynamics.We also establish that the nontrivial fixed point of this flow coincides with the tangency condition and that the corresponding invariant graph exhibits extremal entropic properties.

Theory of intermittency applied to classical pathological cases

The classical theory of intermittency developed for return maps assumes uniform density of points reinjected from the chaotic to laminar region. Though it works fine in some model systems, there exist a number of so-called pathological cases characterized by a significant deviation of main characteristics from the values predicted on the basis of the uniform distribution. Recently, we reported on how the reinjection probability density (RPD) can be generalized. Here, we extend this methodology and apply it to different dynamical systems exhibiting anomalous type-II and type-III intermittencies. Estimation of the universal RPD is based on fitting a linear function to experimental data and requires no a priori knowledge on the dynamical model behind. We provide special fitting procedure that enables robust estimation of the RPD from relatively short data sets (dozens of points). Thus, the method is applicable for a wide variety of data sets including numerical simulations and real-life experiments. Estimated RPD enables analytic evaluation of the length of the laminar phase of intermittent behaviors. We show that the method copes well with dynamical systems exhibiting significantly different statistics reported in the literature. We also derive and classify characteristic relations between the mean laminar length and main controlling parameter in perfect agreement with data provided by numerical simulations

Quasiperiodic Graphs: Structural Design, Scaling and Entropic Properties

A novel class of graphs, here named quasiperiodic, are const ructed via application of the Horizontal Visibility algorithm to the time series generated along the quasiperiodic route to chaos. We show how the hierarchy of mode-locked regions represented by the Far ey tree is inherited by their associated graphs. We are able to establish, via Renormalization Group (RG) theory, the architecture of the quasiperiodic graphs produced by irrational winding numbers with pure periodic continued fraction. And finally, we demonstrate that the RG fixed-point degree distributions are recovered via optimization of a suitably defined graph entropy

Eigenvector centrality of nodes in multiplex networks

We extend the concept of eigenvector centrality to multiplex networks, and introduce several alternative parameters that quantify the importance of nodes in a multi-layered networked system, including the definition of vectorial-type centralities. In addition, we rigorously show that, under reasonable conditions, such centrality measures exist and are unique. Computer experiments and simulations demonstrate that the proposed measures provide substantially different results when applied to the same multiplex structure, and highlight the non-trivial relationships between the different measures of centrality introduced.