Main Menu (Mobile)- Block

Main Menu - Block

Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning

Our Research / Publications
janelia7_blocks-janelia7_biblio_header | block
Science. 2014 Mar 27;344(6182):386-92. doi: 10.1126/science.1250298
View Article on
Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning Zlatic Lab
Vogelstein JT, Park Y, Ohyama T, Kerr R, Truman JW, Priebe CE, Zlatic M
janelia7_blocks-janelia7_biblio_abstract | block

Abstract

A single nervous system can generate many distinct motor patterns. Identifying which neurons and circuits control which behaviors has been a laborious piecemeal process, usually for one observer-defined behavior at a time. We present a fundamentally different approach to neuron-behavior mapping. We optogenetically activated 1,054 identified neuron lines in Drosophila larva and tracked the behavioral responses from 37,780 animals. Applying multiscale unsupervised structure learning methods to the behavioral data identified 29 discrete statistically distinguishable and observer-unbiased behavioral phenotypes. Mapping the neural lines to the behavior(s) they evoke provides a behavioral reference atlas for neuron subsets covering a large fraction of larval neurons. This atlas is a starting point for connectivity- and activity-mapping studies to further investigate the mechanisms by which neurons mediate diverse behaviors.

PMID: 24674869 [PubMed - indexed for MEDLINE]

node:body | entity_field
janelia7_blocks-janelia7_biblio_authors | block

Janelia Authors

Jim Truman
Marta Zlatic
janelia7_blocks-janelia7_biblio_tools | block