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

Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H. Macke. Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 5706-5716, 2017. [doi]

Abstract

Abstract is missing.