@article{pettine_laminar_2019,
	title = {Laminar segregation of sensory coding and behavioral readout in macaque {V4}},
	copyright = {© 2019 . https://www.pnas.org/site/aboutpnas/licenses.xhtmlPublished under the PNAS license.},
	issn = {0027-8424, 1091-6490},
	url = {https://www.pnas.org/content/early/2019/06/26/1819398116},
	doi = {10.1073/pnas.1819398116},
	abstract = {Neurons in sensory areas of the neocortex are known to represent information both about sensory stimuli and behavioral state, but how these 2 disparate signals are integrated across cortical layers is poorly understood. To study this issue, we measured the coding of visual stimulus orientation and of behavioral state by neurons within superficial and deep layers of area V4 in monkeys while they covertly attended or prepared eye movements to visual stimuli. We show that whereas single neurons and neuronal populations in the superficial layers conveyed more information about the orientation of visual stimuli than neurons in deep layers, the opposite was true of information about the behavioral relevance of those stimuli. In particular, deep layer neurons encoded greater information about the direction of planned eye movements than superficial neurons. These results suggest a division of labor between cortical layers in the coding of visual input and visually guided behavior.},
	language = {en},
	urldate = {2019-06-28},
	journal = {Proceedings of the National Academy of Sciences},
	author = {Pettine, Warren W. and Steinmetz, Nicholas A. and Moore, Tirin},
	month = jun,
	year = {2019},
	pmid = {31249141},
	keywords = {attention, neural coding, visual cortex},
	pages = {201819398},
}

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