@article {5937,
	title = {Whole-brain functional imaging at cellular resolution using light-sheet microscopy.},
	journal = {Nature Methods},
	volume = {10},
	year = {2013},
	month = {2013 May},
	pages = {413-20},
	abstract = {<p>Brain function relies on communication between large populations of neurons across multiple brain areas, a full understanding of which would require knowledge of the time-varying activity of all neurons in the central nervous system. Here we use light-sheet microscopy to record activity, reported through the genetically encoded calcium indicator GCaMP5G, from the entire volume of the brain of the larval zebrafish in vivo at 0.8 Hz, capturing more than 80\% of all neurons at single-cell resolution. Demonstrating how this technique can be used to reveal functionally defined circuits across the brain, we identify two populations of neurons with correlated activity patterns. One circuit consists of hindbrain neurons functionally coupled to spinal cord neuropil. The other consists of an anatomically symmetric population in the anterior hindbrain, with activity in the left and right halves oscillating in antiphase, on a timescale of 20 s, and coupled to equally slow oscillations in the inferior olive.</p>
},
	issn = {1548-7105},
	doi = {10.1038/nmeth.2434},
	author = {Ahrens, Misha B and Orger, Michael B. and Robson, Drew N and Li, Jennifer M and Keller, Philipp J}
}
@article {5671,
	title = {Brain-wide neuronal dynamics during motor adaptation in zebrafish.},
	journal = {Nature},
	volume = {485},
	year = {2012},
	month = {2012 May 24},
	pages = {471-7},
	abstract = {<p>A fundamental question in neuroscience is how entire neural circuits generate behaviour and adapt it to changes in sensory feedback. Here we use two-photon calcium imaging to record the activity of large populations of neurons at the cellular level, throughout the brain of larval zebrafish expressing a genetically encoded calcium sensor, while the paralysed animals interact fictively with a virtual environment and rapidly adapt their motor output to changes in visual feedback. We decompose the network dynamics involved in adaptive locomotion into four types of neuronal response properties, and provide anatomical maps of the corresponding sites. A subset of these signals occurred during behavioural adjustments and are candidates for the functional elements that drive motor learning. Lesions to the inferior olive indicate a specific functional role for olivocerebellar circuitry in adaptive locomotion. This study enables the analysis of brain-wide dynamics at single-cell resolution during behaviour.</p>
},
	keywords = {Adaptation, Animals, Brain, Genetically Modified, Larva, Learning, Locomotion, Models, Nerve Net, Neurological, Neurons, Neuropil, Photic Stimulation, Physiological, Psychomotor Performance, Single-Cell Analysis, Zebrafish},
	issn = {1476-4687},
	doi = {10.1038/nature11057},
	author = {Ahrens, Misha B and Li, Jennifer M and Orger, Michael B. and Robson, Drew N and Schier, Alexander F and Engert, Florian and Portugues, Ruben}
}
