AIMC Topic: Mathematical Concepts

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An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.

Computational and mathematical methods in medicine Aug 3, 2020
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transient brain dysfunction. The seizures of epilepsy have the characteristics of being sudden and repetitive, which has seriously endangered patients' health...
Least-Squares Analysis Humans Discriminant Analysis Machine Learning Epilepsy Algorithms Computational Biology Seizures Diagnosis, Computer-Assisted Regression Analysis Signal Processing, Computer-Assisted Mathematical Concepts Nonlinear Dynamics
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Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network.

Computational and mathematical methods in medicine Jul 20, 2020
EEG pattern recognition is an important part of motor imagery- (MI-) based brain computer interface (BCI) system. Traditional EEG pattern recognition algorithm usually includes two steps, namely, feature extraction and feature classification. In feat...
Pattern Recognition, Automated Deep Learning Algorithms Brain-Computer Interfaces Models, Neurological Databases, Factual Humans Motor Cortex Electroencephalography Neural Networks, Computer Mathematical Concepts Imagination
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An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.

Computational and mathematical methods in medicine Jul 14, 2020
Among the currently proposed brain segmentation methods, brain tumor segmentation methods based on traditional image processing and machine learning are not ideal enough. Therefore, deep learning-based brain segmentation methods are widely used. In t...
Neuroimaging Mathematical Concepts Models, Neurological Image Interpretation, Computer-Assisted Brain Neoplasms Algorithms Glioma Humans Deep Learning Databases, Factual Support Vector Machine Neural Networks, Computer Computational Biology Magnetic Resonance Imaging Computer Simulation
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Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron.

Computational and mathematical methods in medicine May 29, 2020
Coronavirus (COVID-19) is a highly infectious disease that has captured the attention of the worldwide public. Modeling of such diseases can be extremely important in the prediction of their impact. While classic, statistical, modeling can provide sa...
Models, Biological Coronavirus Infections Mathematical Concepts Computational Biology Regression Analysis Pneumonia, Viral Neural Networks, Computer Pandemics COVID-19 Algorithms Databases, Factual Humans
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A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory.

Neural computation May 20, 2020
We study the learning of an external signal by a neural network and the time to forget it when this network is submitted to noise. The presentation of an external stimulus to the recurrent network of binary neurons may change the state of the synapse...
Humans Neuronal Plasticity Neural Networks, Computer Memory Mathematical Concepts Computer Simulation Animals
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Image segmentation based on gray level and local relative entropy two dimensional histogram.

PloS one Mar 3, 2020
Though traditional thresholding methods are simple and efficient, they may result in poor segmentation results because only image's brightness information is taken into account in the procedure of threshold selection. Considering the contextual infor...
Algorithms Image Processing, Computer-Assisted Color Humans Artificial Intelligence Entropy Mathematical Concepts
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Dynamics of unidirectionally-coupled ring neural network with discrete and distributed delays.

Journal of mathematical biology Jan 30, 2020
In this paper, we consider a ring neural network with one-way distributed-delay coupling between the neurons and a discrete delayed self-feedback. In the general case of the distribution kernels, we are able to find a subset of the amplitude death re...
Feedback, Physiological Electrophysiological Phenomena Nerve Net Mathematical Concepts Animals Models, Neurological Neurons Nonlinear Dynamics Linear Models Humans Neural Networks, Computer Computer Simulation
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Fractional infinite-horizon optimal control problems with a feed forward neural network scheme.

Network (Bristol, England) Nov 14, 2019
This paper presents a method based on neural networks to solve fractional infinite-horizon optimal control problems s(FIHOCP)s, where the dynamic control system depends on Caputo fractional derivatives. First, with the help of an approximation, the C...
Neural Networks, Computer Mathematical Concepts
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Episodic memory: A hierarchy of spatiotemporal concepts.

Neural networks : the official journal of the International Neural Network Society Oct 3, 2019
We propose a new model of episodic memory. It consists of a hierarchy of partial sequences of events, blended for consistency across space and time by feedforward/feedback links to concepts expressing their shared information. This blended concept hi...
Mathematical Concepts Neural Networks, Computer
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Self-organizing neural networks for universal learning and multimodal memory encoding.

Neural networks : the official journal of the International Neural Network Society Sep 2, 2019
Learning and memory are two intertwined cognitive functions of the human brain. This paper shows how a family of biologically-inspired self-organizing neural networks, known as fusion Adaptive Resonance Theory (fusion ART), may provide a viable appro...
Machine Learning Mathematical Concepts
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