首页|Studies from Ibaraki University Yield New Data on Neural Computation (l 1 -Regul arized ICA: A Novel Method for Analysis of Task-Related fMRI Data)
Studies from Ibaraki University Yield New Data on Neural Computation (l 1 -Regul arized ICA: A Novel Method for Analysis of Task-Related fMRI Data)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on neural computation is n ow available. According to news reporting originating from Ibaraki, Japan, by Ne wsRx correspondents, research stated, "We propose a new method of independent co mponent analysis (ICA) in order to extract appropriate features from high-dimens ional data." The news reporters obtained a quote from the research from Ibaraki University: " In general, matrix factorization methods including ICA have a problem regarding the interpretability of extracted features. For the improvement of interpretabil ity, sparse constraint on a factorized matrix is helpful. With this background, we construct a new ICA method with sparsity."
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