Unsupervised identification of states from voltage recordings of neural networks.

Journal: Journal of neuroscience methods
PMID: 30807781

Abstract

BACKGROUND: Modern techniques for multi-neuronal recording produce large amounts of data. There is no automatic procedure for the identification of states in recurrent voltage patterns.

Authors

  • Davide Garolini
    Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
  • Andreas Vitalis
    Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
  • Amedeo Caflisch
    Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland. Electronic address: caflisch@bioc.uzh.ch.

Keywords

External Resources

Popular Topics
Recent Journals