Detecting memory content in firing rate signals using a machine learning approach: A fractal analysis-Reference-Cited by-同舟云学术

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Detecting memory content in firing rate signals using a machine learning approach: A fractal analysis

Published:2023-08 Issue: Volume:85 Page:104945
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Mehrabbeik Mahtab^ORCID,Shams-Ahmar Mohammad,Sabourin Carina^ORCID,Jafari Sajad^ORCID,Lomber Stephen G.,Merrikhi Yaser^ORCID

Funder

National Institutes of Health

Whitehall Foundation

Midwestern State University

National Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference64 articles.

1. Estimating fractal dimension;Theiler;J. Opt. Soc. Am. A,1990

2. Culturomics meets random fractal theory: insights into long-range correlations of social and natural phenomena over the past two centuries;Gao;J. R. Soc. Interface,2012

3. Fractal-based analysis of the influence of auditory stimuli on eye movements;Namazi;Fractals,2018

4. Infants’ gaze exhibits a fractal structure that varies by age and stimulus salience;Stallworthy;Sci. Rep.,2020

5. Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples;Meregalli;Eur. J. Neurosci.,2022

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1. COMPLEXITY-BASED ANALYSIS OF THE CORRELATION OF BRAIN AND HEART ACTIVITY IN YOUNGER AND OLDER SUBJECTS;Fractals;2023-12-19

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