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Published in 2024 at "Fractional Calculus and Applied Analysis"
DOI: 10.1007/s13540-025-00392-7
Abstract: We introduce an efficient discretisation of a novel fractional-order adaptive exponential (FrAdEx) integrate-and-fire model, which is used to study the fractional-order dynamics of neuronal activities. The discretisation is based on an extension of L1-type methods…
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Keywords:
adaptive exponential;
model;
integrate fire;
fire ... See more keywords
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Published in 2024 at "Chaos"
DOI: 10.1063/5.0176455
Abstract: The description of neuronal activity has been of great importance in neuroscience. In this field, mathematical models are useful to describe the electrophysical behavior of neurons. One successful model used for this purpose is the…
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Keywords:
fractal extension;
adaptive exponential;
exponential integrate;
model ... See more keywords
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Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2979688
Abstract: The adaptive exponential functional link network (AEFLN) is a recently introduced novel linear-in-the-parameters nonlinear filter and is used in numerous nonlinear applications, including system identification, active noise control, and echo cancellation. The improved modeling accuracy…
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Keywords:
adaptive exponential;
link network;
functional link;
exponential functional ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3145843
Abstract: In recent years, the adaptive exponential synchronization (AES) problem of delayed complex networks has been extensively studied. Existing results rely heavily on assuming the differentiability of the time-varying delay, which is not easy to verify…
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Keywords:
adaptive exponential;
time;
complex networks;
varying delay ... See more keywords