Mr2DNM: A Novel Mutual Information-Based Dendritic Neuron Model
نویسندگان
چکیده
منابع مشابه
A Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information
Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملa novel subsampling method for 3d multimodality medical image registration based on mutual information
mutual information (mi) is a widely used similarity metric for multimodality image registration. however, it involves an extremely high computational time especially when it is applied to volume images. moreover, its robustness is affected by existence of local maxima. the multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملA Novel Mutual Information-based Feature Selection Algorithm
From a machine learning point of view, identifying a subset of relevant features from a real data set can be useful to improve the results achieved by classification methods and to reduce their time and space complexity. To achieve this goal, feature selection methods are usually employed. These approaches assume that the data contains redundant or irrelevant attributes that can be eliminated. ...
متن کاملElectrophysiology of a dendritic neuron model.
The development of a mathematical model of dendritic neurons was begun because of a need to combine three different kinds of knowledge into a coherent theory. First, we have the anatomical concept of the neuron, together with the anatomical fact that extensive dendritic branching is characteristic of many important neuron types. Second, we have the theoretical development of the nerve membrane ...
متن کاملOn Classification of Bivariate Distributions Based on Mutual Information
Among all measures of independence between random variables, mutual information is the only one that is based on information theory. Mutual information takes into account of all kinds of dependencies between variables, i.e., both the linear and non-linear dependencies. In this paper we have classified some well-known bivariate distributions into two classes of distributions based on their mutua...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2019
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2019/7362931