Neural Modelling

Neural Modelling
[`njʊ(ə)rəl `mɔd(ə)lɪŋ]
нано тех нейронное моделирование.
▫ Имитация функционирования нейронной системы, такой как мозг, путём моделирования функции каждой клетки.

English-Russian dictionary with terms in the field of electronics. 2015.

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  • Neural oscillation — is rhythmic or repetitive neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms localized within individual neurons or by interactions between neurons. In… …   Wikipedia

  • Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …   Wikipedia

  • Modelling biological systems — Modeling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of… …   Wikipedia

  • European Neural Network Society — The European Neural Network Society (ENNS) is an association of scientists, engineers, students, and others seeking to learn about and advance understanding of artificial neural networks. Specific areas of interest in this scientific field… …   Wikipedia

  • Models of neural computation — are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof. This article aims to provide an overview of the most… …   Wikipedia

  • Feedforward neural network — A feedforward neural network is an artificial neural network where connections between the units do not form a directed cycle. This is different from recurrent neural networks.The feedforward neural network was the first and arguably simplest… …   Wikipedia

  • Dynamic causal modelling — (DCM) is a method for the interpretation of functional neuroimaging data (e.g. fMRI). It is implemented in the Statistical parametric mapping software. DCM is a recent technique, developed only in 2003.[1] A collection of scientific articles… …   Wikipedia

  • Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …   Wikipedia

  • Cellular neural network — Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces,… …   Wikipedia

  • Hydrological modelling — Hydrologic models are simplified, conceptual representations of a part of the hydrologic cycle. They are primarily used for hydrologic prediction and for understanding hydrologic processes. Two major types of hydrologic models can be… …   Wikipedia

  • Embodied cognitive science — For approaches to cognitive science that emphasize the embodied mind, see embodied mind thesis Embodied Cognitive Science is an interdisciplinary field of research whose aim is to explain the mechanisms underlying intelligent behavior. It… …   Wikipedia


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