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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, cognition, neurophysiology, neural engineering
Website:
http://www.smithlab.net
Google:
"https://scholar.google.com/citations?user=mhi9LhkAAAAJ"
Mean distance: 13.17 (cluster 17)
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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

Children

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Deepa Issar grad student 2020- Carnegie Mellon
Megan McDonnell grad student 2021- Carnegie Mellon
Yuki Minai grad student 2021- Carnegie Mellon
Emily Crane grad student 2022- Carnegie Mellon
Emily Skog grad student 2022- Carnegie Mellon
Ben Cowley grad student 2012-2018 Carnegie Mellon
Sanjeev Khanna grad student 2012-2018 University of Pittsburgh
Ryan Williamson grad student 2015-2020 Carnegie Mellon / Univ. of Pittsburgh
Akash Umakantha grad student 2015-2021 Carnegie Mellon / Univ. of Pittsburgh
Katerina Acar grad student 2015-2022 University of Pittsburgh
Deepshikha Acharya grad student 2018-2022 Carnegie Mellon
Patricia Stan grad student 2019-2022 University of Pittsburgh
Shenghao Wu grad student 2018-2023 Carnegie Mellon
Richard Johnston post-doc 2017- University of Pittsburgh
Joana Soldado Magraner post-doc 2019- Carnegie Mellon
Roma O. Konecky post-doc 2014-2016 University of Pittsburgh
Adam C. Snyder post-doc 2012-2018 University of Pittsburgh
Emilio Salazar-Gatzimas post-doc 2019-2022 Carnegie Mellon

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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Khanna SB, Scott JA, Smith MA. (2020) Dynamic shifts of visual and saccadic signals in prefrontal cortical regions 8Ar and FEF. Journal of Neurophysiology
Cowley BR, Snyder AC, Acar K, et al. (2020) Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex. Neuron
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
Johnston R, Smith MA. (2019) Fixational eye movements index slow fluctuations of activity in macaque visual cortex Journal of Vision. 19: 85c
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
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