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Characterizing the nonlinear structure of shared variability in cortical neuron populations using neural networks
Matthew R Whiteway, View ORCID ProfileKarolina Socha, View ORCID ProfileVincent Bonin, View ORCID ProfileDaniel A Butts
doi: https://doi.org/10.1101/407858
Matthew R Whiteway
1Program in Applied Mathematics & Statistics, and Scientific Computation Program University of Maryland, College Park, MD, United States
Karolina Socha
2Neuro-Electronics Research Flanders, Leuven, Belgium
3Department of Biology & Leuven Brain Institute, KU Leuven, Leuven, Belgium
Vincent Bonin
2Neuro-Electronics Research Flanders, Leuven, Belgium
3Department of Biology & Leuven Brain Institute, KU Leuven, Leuven, Belgium
4VIB, Leuven, Belgium
Daniel A Butts
1Program in Applied Mathematics & Statistics, and Scientific Computation Program University of Maryland, College Park, MD, United States
5Department of Biology and Program in Neuroscience and Cognitive Sciences University of Maryland, College Park, MD, United States
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Posted September 04, 2018.
Characterizing the nonlinear structure of shared variability in cortical neuron populations using neural networks
Matthew R Whiteway, Karolina Socha, Vincent Bonin, Daniel A Butts
bioRxiv 407858; doi: https://doi.org/10.1101/407858
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