Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.

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Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization.State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats.

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P2860

Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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Using Matrix and Tensor Factor ...... is of Population Spike Trains.

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Using Matrix and Tensor Factor ...... is of Population Spike Trains.

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Using Matrix and Tensor Factor ...... is of Population Spike Trains.

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Using Matrix and Tensor Factor ...... is of Population Spike Trains.

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Using Matrix and Tensor Factor ...... is of Population Spike Trains.

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PLOS Computational Biology

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Using Matrix and Tensor Factor ...... is of Population Spike Trains.

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P2093

P P Chamanthi R Karunasekara

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P2860

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Learning the parts of objects by non-negative matrix factorization

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Neural population coding: combining insights from microscopic and mass signals

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e1005189

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scholarly article

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10.1371/JOURNAL.PCBI.1005189

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