Author:
Isomura Takuya,Toyoizumi Taro
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Cichocki, A., Zdunek, R., Phan, A. H. & Amari, S. I. Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. John Wiley & Sons (2009).
2. Comon, P. & Jutten, C. Handbook of Blind Source Separation: Independent Component Analysis and Applications. Academic Press (2010).
3. Isomura, T., Kotani, K. & Jimbo, Y. Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle. PLoS Comput Biol. 11, e1004643 (2015).
4. Isomura, T. & Toyoizumi, T. A Local Learning Rule for Independent Component Analysis. Sci Rep. 6, 28073 (2016).
5. Bell, A. J. & Sejnowski, T. J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7, 1129–1159 (1995).
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献