@article {49329,
	title = {Kilohertz frame-rate two-photon tomography.},
	journal = {Nature Methods},
	volume = {16},
	year = {2019},
	month = {2019 Jul 29},
	pages = {778-86},
	abstract = {<p>Point-scanning two-photon microscopy enables high-resolution imaging within scattering specimens such as the mammalian brain, but sequential acquisition of voxels fundamentally limits imaging speed. We developed a two-photon imaging technique that scans lines of excitation across a focal plane at multiple angles and uses prior information to recover high-resolution images at over 1.4 billion voxels per second. Using a structural image as a prior for recording neural activity, we imaged visually-evoked and spontaneous glutamate release across hundreds of dendritic spines in mice at depths over 250 microns and frame-rates over 1 kHz. Dendritic glutamate transients in anaesthetized mice are synchronized within spatially-contiguous domains spanning tens of microns at frequencies ranging from 1-100 Hz. We demonstrate high-speed recording of acetylcholine and calcium sensors, 3D single-particle tracking, and imaging in densely-labeled cortex. Our method surpasses limits on the speed of raster-scanned imaging imposed by fluorescence lifetime.</p>
},
	doi = {10.1101/357269},
	author = {Kazemipour, Abbas and Novak, Ondrej and Flickinger, Daniel and Marvin, Jonathan S and Abdelfattah, Ahmed S and King, J. and Borden, PM and Kim, JJ and Al-Abdullatif, SH and Deal, PE and Miller, EW and Schreiter, ER and Druckmann, S and Svoboda, K and Looger, LL and Podgorski, K}
}
@article {4761,
	title = {Multiple dynamic representations in the motor cortex during sensorimotor learning.},
	journal = {Nature},
	volume = {484},
	year = {2012},
	month = {2012 Apr 26},
	pages = {473-8},
	abstract = {<p>The mechanisms linking sensation and action during learning are poorly understood. Layer 2/3 neurons in the motor cortex might participate in sensorimotor integration and learning; they receive input from sensory cortex and excite deep layer neurons, which control movement. Here we imaged activity in the same set of layer 2/3 neurons in the motor cortex over weeks, while mice learned to detect objects with their whiskers and report detection with licking. Spatially intermingled neurons represented sensory (touch) and motor behaviours (whisker movements and licking). With learning, the population-level representation of task-related licking strengthened. In trained mice, population-level representations were redundant and stable, despite dynamism of single-neuron representations. The activity of a subpopulation of neurons was consistent with touch driving licking behaviour. Our results suggest that ensembles of motor cortex neurons couple sensory input to multiple, related motor programs during learning.</p>
},
	issn = {1476-4687},
	doi = {10.1038/nature11039},
	author = {Huber, D and Gutnisky, D A and Peron, S and O{\textquoteright}Connor, D H and Wiegert, J S and Tian, L and Oertner, T G and Looger, LL and Svoboda, K}
}
