New Results
Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure
Lukas Grossberger, Francesco P. Battaglia, View ORCID ProfileMartin Vinck
doi: https://doi.org/10.1101/252791
Lukas Grossberger
1Donders Institute for Brain, Cognition and Behaviour, Radboud Universiteit, Nijmegen, The Netherlands
2Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany
Francesco P. Battaglia
1Donders Institute for Brain, Cognition and Behaviour, Radboud Universiteit, Nijmegen, The Netherlands
Martin Vinck
2Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany
Article usage
Posted February 08, 2018.
Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure
Lukas Grossberger, Francesco P. Battaglia, Martin Vinck
bioRxiv 252791; doi: https://doi.org/10.1101/252791
Subject Area
Subject Areas
- Biochemistry (11736)
- Bioengineering (8746)
- Bioinformatics (29186)
- Biophysics (14964)
- Cancer Biology (12084)
- Cell Biology (17401)
- Clinical Trials (138)
- Developmental Biology (9418)
- Ecology (14176)
- Epidemiology (2067)
- Evolutionary Biology (18299)
- Genetics (12235)
- Genomics (16793)
- Immunology (11863)
- Microbiology (28066)
- Molecular Biology (11580)
- Neuroscience (60925)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4956)
- Plant Biology (10422)
- Synthetic Biology (2883)
- Systems Biology (7338)
- Zoology (1650)