independent component analysis informax algorithm (InforMax Inc)
90
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InforMax Inc
independent component analysis informax algorithm
Independent Component Analysis Informax Algorithm, supplied by InforMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/independent+component+analysis+algorithm/independent+component+analysis++ica+/pm40323015-108-3-5
Average 90 stars, based on 1 article reviews
Independent Component Analysis Informax Algorithm, supplied by InforMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/independent+component+analysis+algorithm/independent+component+analysis++ica+/pm40323015-108-3-5
Average 90 stars, based on 1 article reviews
independent component analysis informax algorithm - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Optimization of relative parameters in transfer entropy estimation and application to corticomuscular coupling in humans. Article Snippet: Background: As a non-modeled information theoretical measure, the transfer entropy (TE) could be applied to quantitatively analyze the linear and nonlinear coupling characteristics between two observations.. However, the parameters selection of TE (the parameters used in state space reconstruction and estimating Shannon entropy) has a serious influence on the accuracy of its results.. New Method: In this study, the hybrid particle swarm optimization (HPSO) was applied to improve the accuracy of TE by optimizing its parameters. Article Title: Neural Mass Modeling in the Cortical Motor Area and the Mechanism of Alpha Rhythm Changes. Article Snippet: To address artifacts from electrooculography (EOG) and electromyography (EMG), Article Title: Transfer Spectral Entropy and Application to Functional Corticomuscular Coupling Article Snippet: Functional corticomuscular coupling (FCMC) with different rhythmic oscillations plays different roles in neural communication and interaction between the central nervous system and the peripheral system.. Larger methods, such as coherence and Granger causality (GC), have been used to describe the frequency band characteristics in the frequency domain, but they fail to account for the inherent complexity.. Considering that the transfer entropy (TE) method as an information theory has advantages in complexity and direction, we extended it and proposed a novel method named transfer spectral entropy (TSE) to explore the local frequency band characteristics between two coupling signals. Article Title: Neural Mass Modeling in the Cortical Motor Area and the Mechanism of Alpha Rhythm Changes Article Snippet: To address artifacts from electrooculography (EOG) and electromyography (EMG), Article Title: Dual-Site Beta tACS Over the rIFG and preSMA-Induced Phase-Specific Changes in Functional Connectivity but not Response Inhibition Performance in Older Adults. Article Snippet: Finally, an independent Article Title: An 8-week compassion and mindfulness-based exposure therapy program improves posttraumatic stress symptoms. Article Snippet: Finally, an independent Article Title: An 8-week Compassion and Mindfulness-based Exposure Therapy Program effectively improves Posttraumatic Stress Symptoms Article Snippet: Finally, an independent |