Included works This thesis contains three previously published works: Semmelhack, Donovan, et al.; eLife 2014 Temizer, Donovan, et al.; Current Biology 2015 Thiele, Donovan, Baier; Neuron 2014 And one full manuscript, soon to be in the second round of review: Dal Maschio*, Donovan*, et al. *(Equal contributions) The work presented in these manuscripts is equivalent to a standard thesis

Donovan, J.

English

MPG.PuRe

Exploring behavioral circuits with holographic optogenetics and network imaging

Understanding how individual neurons within a circuit process sensory information and influence broader network dynamics to drive behavior is a longstanding goal of neuroscience. The larval zebrafish, Danio rerio, is an excellent model organism for behavioral circuit investigation, providing genetic and optical access and a variety of visually evoked behaviors. Psychophysics can investigate features of visual stimuli crucial for behavior. Together with two-photon calcium imaging this approach can locate brain regions involved in processing these stimuli, for example retinorecipient areas such as the optic tectum. These sensory processing regions send information downstream towards motor related areas, including the nucleus of the medial longitudinal fasciculus (nMLF). The nMLF is a midbrain nucleus, shown to be active during visually evoked behavior. Optogenetics is a powerful technique for exploring circuit function, especially in motor areas. Light from an optic fiber can be used to activate a population of neurons in the nMLF, inducing behavior, and together with ablations shows a crucial role for this area in postural control. These approaches can find the role of a population of neurons, however understanding the functional impact of individual neurons within a circuit is a greater challenge. To increase the resolution of circuit investigation, we have designed a holographic light-shaping system that enables activation with single neuron precision. A protocol was developed that combines this approach with simultaneous imaging and behavior, to relate behavioral output to functional properties of the circuit. This system creates a combined approach that can extract functional information from individual neurons in behavioral circuits

Donovan, Joseph

eScholarship - University of California

https://escholarship.org/uc/item/9g24r86m

Exploring behavioral circuits with holographic optogenetics and network imaging

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eScholarship - University of California

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