Learning Structure in Time Series for Neuroscience and Beyond
Advances in neuroscience are producing data at an astounding rate - data which are fiendishly complex both to process and to interpret. Biological neural networks are high-dimensional, nonlinear, noisy, heterogeneous, and in nearly every way defy the simplifying assumptions of standard statistical m...
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| Language: | English |
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2015
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| Online Access: | https://doi.org/10.7916/D8WH2NRR |