Ontology highlight
ABSTRACT:
SUBMITTER: Mackevicius EL
PROVIDER: S-EPMC6363393 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature
Mackevicius Emily L EL Bahle Andrew H AH Williams Alex H AH Gu Shijie S Denisenko Natalia I NI Goldman Mark S MS Fee Michale S MS
eLife 20190205
Identifying low-dimensional features that describe large-scale neural recordings is a major challenge in neuroscience. Repeated temporal patterns (sequences) are thought to be a salient feature of neural dynamics, but are not succinctly captured by traditional dimensionality reduction techniques. Here, we describe a software toolbox-called seqNMF-with new methods for extracting informative, non-redundant, sequences from high-dimensional neural data, testing the significance of these extracted pa ...[more]