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Lawrence C. Sincich

Affiliations: 
University of California, San Francisco, San Francisco, CA 
Area:
Visual cortex
Website:
http://www.ucsf.edu/hortonlab/lawrence.html
Google:
"Lawrence Sincich"
Mean distance: 14.27 (cluster 17)
 
SNBCP

Collaborators

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Deepayan Kar collaborator UAB
Daniel L. Adams collaborator 2000-2006 UCSF
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Publications

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Marcos S, Werner JS, Burns SA, et al. (2017) Vision Science and Adaptive Optics, The State of the Field. Vision Research
Bruce KS, Harmening WM, Langston BR, et al. (2015) Normal perceptual sensitivity arising from weakly reflective cone photoreceptors Investigative Ophthalmology and Visual Science. 56: 4431-4438
Harmening WM, Tuten WS, Roorda A, et al. (2014) Mapping the perceptual grain of the human retina. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 5667-77
Adams DL, Economides JR, Sincich LC, et al. (2013) Cortical metabolic activity matches the pattern of visual suppression in strabismus. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 3752-9
Sincich LC. (2013) Toward spectral classification of single photoreceptors by psychophysics Optics Infobase Conference Papers
Harmening WM, Tiruveedhula P, Roorda A, et al. (2012) Measurement and correction of transverse chromatic offsets for multi-wavelength retinal microscopy in the living eye. Biomedical Optics Express. 3: 2066-77
Sincich LC, Jocson CM, Horton JC. (2012) Neuronal projections from V1 to V2 in amblyopia. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 2648-56
Harmening WM, Tuten WS, Tiruveedhula P, et al. (2012) Measurement and correction of transverse chromatic aberration with the adaptive optics scanning laser Ophthalmoscope Frontiers in Optics, Fio 2012
Economides JR, Sincich LC, Adams DL, et al. (2011) Orientation tuning of cytochrome oxidase patches in macaque primary visual cortex. Nature Neuroscience. 14: 1574-80
Fitzgerald JD, Rowekamp RJ, Sincich LC, et al. (2011) Second order dimensionality reduction using minimum and maximum mutual information models. Plos Computational Biology. 7: e1002249
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