Matthew A. Smith, PhD

Affiliations: 
2011-2019 Ophthalmology University of Pittsburgh, Pittsburgh, PA, United States 
 2019- Biomedical Engineering, Neuroscience Institute Carnegie Mellon University, Pittsburgh, PA 
Area:
vision
Website:
http://www.smithlab.net
Google:
"https://scholar.google.com/citations?user=mhi9LhkAAAAJ"
Mean distance: 13.17 (cluster 17)
 
SNBCP

Parents

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J Anthony Movshon grad student 1997-2003 NYU
 (Global form detection and pattern response timing in macaque visual cortex.)
Tai Sing Lee post-doc 2003-2007 Carnegie Mellon
Marc A. Sommer post-doc 2007-2010 University of Pittsburgh

Collaborators

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Adam Kohn collaborator 2000- NYU
Byron M. Yu collaborator 2010- Carnegie Mellon
BETA: Related publications

Publications

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Ruesch A, Yang J, Schmitt S, et al. (2020) Estimating intracranial pressure using pulsatile cerebral blood flow measured with diffuse correlation spectroscopy. Biomedical Optics Express. 11: 1462-1476
Issar D, Williamson RC, Khanna SB, et al. (2020) A neural network for online spike classification that improves decoding accuracy. Journal of Neurophysiology
Ruesch A, Schmitt S, Yang J, et al. (2019) Fluctuations in intracranial pressure can be estimated non-invasively using near-infrared spectroscopy in non-human primates. Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism. 271678X19891359
Acar K, Kiorpes L, Movshon JA, et al. (2019) Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia. Journal of Neurophysiology
Khanna SB, Snyder AC, Smith MA. (2019) Distinct sources of variability affect eye movement preparation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Williamson RC, Doiron B, Smith MA, et al. (2019) Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction. Current Opinion in Neurobiology. 55: 40-47
Vinci G, Ventura V, Smith MA, et al. (2018) ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA. The Annals of Applied Statistics. 12: 1068-1095
Snyder AC, Yu BM, Smith MA. (2018) Distinct population codes for attention in the absence and presence of visual stimulation. Nature Communications. 9: 4382
Vinci G, Ventura V, Smith MA, et al. (2018) Adjusted regularization of cortical covariance. Journal of Computational Neuroscience
Snyder AC, Issar D, Smith MA. (2018) What Does Scalp EEG Coherence Tell Us About Long-range Cortical Networks? The European Journal of Neuroscience
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