@article {68812,
	title = {A viral toolbox for conditional and transneuronal gene expression in zebrafish},
	journal = {eLife},
	volume = {11},
	year = {2022},
	month = {07/2022},
	pages = {e77153},
	abstract = {<p>The zebrafish is an important model in systems neuroscience but viral tools to dissect the structure and function of neuronal circuitry are not established. We developed methods for efficient gene transfer and retrograde tracing in adult and larval zebrafish by herpes simplex viruses (HSV1). HSV1 was combined with the Gal4/UAS system to target cell types with high spatial, temporal, and molecular specificity. We also established methods for efficient transneuronal tracing by modified rabies viruses in zebrafish. We demonstrate that HSV1 and rabies viruses can be used to visualize and manipulate genetically or anatomically identified neurons within and across different brain areas of adult and larval zebrafish. An expandable library of viruses is provided to express fluorescent proteins, calcium indicators, optogenetic probes, toxins and other molecular tools. This toolbox creates new opportunities to interrogate neuronal circuits in zebrafish through combinations of genetic and viral approaches.</p>
},
	keywords = {Gene Transfer, Imaging, neuronal circuit, viral vector},
	issn = {2050-084X},
	doi = {10.7554/eLife.77153},
	url = {https://doi.org/10.7554/eLife.77153},
	author = {Satou, Chie and Neve, Rachael L and Oyibo, Hassana K and Zmarz, Pawel and Huang, Kuo-Hua and Arn Bouldoires, Estelle and Mori, Takuma and Higashijima, Shin-Ichi and Keller, Georg B and Friedrich, Rainer W},
	editor = {Bagnall, Martha W and Stainier, Didier YR and Jin, Lei}
}
@article {48830,
	title = {Learning enhances sensory and multiple non-sensory representations in primary visual cortex.},
	journal = {Neuron},
	volume = {86},
	year = {2015},
	month = {2015 Jun 17},
	pages = {1478-90},
	abstract = {<p>We determined how learning modifies neural representations in primary visual cortex (V1) during acquisition of a visually guided behavioral task. We imaged the activity of the same layer 2/3 neuronal populations as mice learned to discriminate two visual patterns while running through a virtual corridor, where one pattern was rewarded. Improvements in behavioral performance were closely associated with increasingly distinguishable population-level representations of task-relevant stimuli, as a result of stabilization of existing and recruitment of new neurons selective for these stimuli. These effects correlated with the appearance of multiple task-dependent signals during learning: those that increased neuronal selectivity across the population when expert animals engaged in the task, and those reflecting anticipation or behavioral choices specifically in neuronal subsets preferring the rewarded stimulus. Therefore, learning engages diverse mechanisms that modify sensory and non-sensory representations in V1 to adjust its processing to task requirements and the behavioral relevance of visual stimuli.</p>
},
	keywords = {Animals, Calcium, Discrimination (Psychology), Female, Learning, Luminescent Proteins, Male, Mice, Mice, Inbred C57BL, Mice, Transgenic, Models, Neurological, Neurons, Nonlinear Dynamics, Optogenetics, Photic Stimulation, Sensory Receptor Cells, User-Computer Interface, Vision, Ocular, Visual Cortex},
	issn = {1097-4199},
	doi = {10.1016/j.neuron.2015.05.037},
	author = {Poort, Jasper and Khan, Adil G and Pachitariu, Marius and Nemri, Abdellatif and Orsolic, Ivana and Krupic, Julija and Bauza, Marius and Sahani, Maneesh and Keller, Georg B and Mrsic-Flogel, Thomas D and Hofer, Sonja B}
}
