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Conference Paper

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations

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Macke,  Jakob H.
Max Planck Research Group Neural Systems Analysis, Center of Advanced European Studies and Research (caesar), Max Planck Society;

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Nonnenmacher_Extracting.pdf
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Citation

Nonnenmacher, M., Turaga, S., & Macke, J. H. (2018). Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. In Advances in Neural Information Processing Systems 30 (NIPS 2017).


Cite as: http://hdl.handle.net/21.11116/0000-0000-24E8-2
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