244 resultados para Théorème de Huxley


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[ES] El propósito del presente estudio es establecer una aproximación a la estructura temática dominante en Brave New World, la obra más polémica de un escritor controvertido. Nuestro análisis se centra en el primer y en el último capítulo de la novela, de modo que podamos establecer una comparación entre los elementos destacables en la presentación de este nuevo mundo y su evolución hasta el ambiente pesimista que domina el último capítulo. Por medio del análisis de estos dos capítulos, se hallará la estructura temática que domina en la obra. Para ello, recurriremos a un análisis estadístico del sustantivo, una categoría abierta que permite la inclusión de nuevos vocablos, que se llevará a cabo utilizando una herramienta informática que nos permitirá hallar los sustantivos específicos de cada capítulo y aquellos que presentan una frecuencia homogénea. Se trata, por tanto, de un estudio lexicométrico, basado en el recuento de vocablos. La unidad de estudio de nuestro análisis será la forma gráfica en relación al contexto del que surge, motivo por el cual nos centraremos en estudiar las concordancias, que nos serán de gran utilidad a la hora de señalar los campos estilísticos presentes en la obra. Los vocablos homogéneos y específicos marcarán los rasgos particulares de la obra y del autor, así que nos acercaremos a un análisis estilístico. Dado que la estilística no se centra solo en hallar lo que es propio de un autor y su obra, esto es, el estilo, podremos estudiar otros aspectos relevantes en una obra literaria, como son la psicología personal del autor a través de sus palabras, su percepción de la sociedad del momento y la presencia de esta en su obra, aspectos todos ellos que configuran el imaginario del autor.

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A field of computational neuroscience develops mathematical models to describe neuronal systems. The aim is to better understand the nervous system. Historically, the integrate-and-fire model, developed by Lapique in 1907, was the first model describing a neuron. In 1952 Hodgkin and Huxley [8] described the so called Hodgkin-Huxley model in the article “A Quantitative Description of Membrane Current and Its Application to Conduction and Excitation in Nerve”. The Hodgkin-Huxley model is one of the most successful and widely-used biological neuron models. Based on experimental data from the squid giant axon, Hodgkin and Huxley developed their mathematical model as a four-dimensional system of first-order ordinary differential equations. One of these equations characterizes the membrane potential as a process in time, whereas the other three equations depict the opening and closing state of sodium and potassium ion channels. The membrane potential is proportional to the sum of ionic current flowing across the membrane and an externally applied current. For various types of external input the membrane potential behaves differently. This thesis considers the following three types of input: (i) Rinzel and Miller [15] calculated an interval of amplitudes for a constant applied current, where the membrane potential is repetitively spiking; (ii) Aihara, Matsumoto and Ikegaya [1] said that dependent on the amplitude and the frequency of a periodic applied current the membrane potential responds periodically; (iii) Izhikevich [12] stated that brief pulses of positive and negative current with different amplitudes and frequencies can lead to a periodic response of the membrane potential. In chapter 1 the Hodgkin-Huxley model is introduced according to Izhikevich [12]. Besides the definition of the model, several biological and physiological notes are made, and further concepts are described by examples. Moreover, the numerical methods to solve the equations of the Hodgkin-Huxley model are presented which were used for the computer simulations in chapter 2 and chapter 3. In chapter 2 the statements for the three different inputs (i), (ii) and (iii) will be verified, and periodic behavior for the inputs (ii) and (iii) will be investigated. In chapter 3 the inputs are embedded in an Ornstein-Uhlenbeck process to see the influence of noise on the results of chapter 2.

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Jos.

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Includes index.

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Papers contributed to scientific societies and scientific periodicals, arranged in chronological order, with the name and date of the publication in which each first appeared.

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pt. I. Pioneers of evolution from Thales to Lucretius, B.C. 600-A.D. 50 -- pt. II. The arrest of enquiry A. D. 50-A. D. 1600: 1. From the early Christian period to the time of Augustine, A.D. 50-A.D. 400. 2. From Augustine to Bacon, A. D. 400-A. D. 1600 -- pt. III. The renascence of science, about A. D. 1600 onwards -- pt. IV. Modern evolution: 1. Darwin and Wallace 2. Herbert Spencer. 3. Thomas Henry Huxley.