Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle
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Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle
Blind source separation is the computation underlying the cocktail party effect--a partygoer can distinguish a particular talker's voice from the ambient noise. Early studies indicated that the brain might use blind source separation as a signal processing strategy for sensory perception and numerous mathematical models have been proposed; however, it remains unclear how the neural networks ext...
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Blind source separation (BSS) is a method for recovering a set of source signals from the observation of their mixtures without any prior knowledge about the mixing process. In BSS the definition of a source signal has an inherent indeterminacy; any linear transform of a source signal can also be considered a source signal. Due to this indeterminacy, there are an infinite number of valid separa...
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This paper deals with the general problem of separating two independent wideband sources when they are mixed by unknown filters. In order to solve this problem. a backward framework is proposed which is composed of two different stages. The fiist one consists of two linear predictors devoted to improve the source separation, whitening the input signals. Their coefficients are calculated applyin...
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The linear BSS problem can be solved under certain conditions via a joint diagonalization approach of only two matrices. Algebraic solutions, i.e. solutions that only involve eigenvalue decompositions or singular value decompositions, are of particular interest as efficient eigensolvers exist. Success of these methods depends significantly on particular properties of the sources, such as non-st...
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The blind source separation problem (BSS) consists in extracting uncorrelated sources from an observed linear mixture. The rationale behind BSS is to reconstruct correctly the waveform of the signals allowing arbitrariness of their sign, order and energy. Known closed-from solutions succeed by relying on specific assumptions about the source distributional form. For more complex signal, such as...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2015
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1004643