Quantifying behavior to solve sensorimotor transformations: advances from worms and flies.

TitleQuantifying behavior to solve sensorimotor transformations: advances from worms and flies.
Publication TypeJournal Article
Year of Publication2017
AuthorsCalhoun, AJ, Murthy, M
JournalCurr Opin Neurobiol
Date Published2017 10
KeywordsAnimals, Behavior, Animal, Caenorhabditis elegans, Computational Biology, Drosophila melanogaster, Models, Animal, Models, Neurological

<p>The development of new computational tools has recently opened up the study of natural behaviors at a precision that was previously unachievable. These tools permit a highly quantitative analysis of behavioral dynamics at timescales that are well matched to the timescales of neural activity. Here we examine how combining these methods with established techniques for estimating an animal's sensory experience presents exciting new opportunities for dissecting the sensorimotor transformations performed by the nervous system. We focus this review primarily on examples from Caenorhabditis elegans and Drosophila melanogaster-for these model systems, computational approaches to characterize behavior, in combination with unparalleled genetic tools for neural activation, silencing, and recording, have already proven instrumental for illuminating underlying neural mechanisms.</p>

Alternate JournalCurr Opin Neurobiol
PubMed ID28850885
PubMed Central IDPMC5765764
Grant ListDP2 NS092378 / NS / NINDS NIH HHS / United States
/ HHMI / Howard Hughes Medical Institute / United States