Matthew A. Smith, PhD

2011-2019 Ophthalmology University of Pittsburgh, Pittsburgh, PA, United States 
 2019- Biomedical Engineering, Neuroscience Institute Carnegie Mellon University, Pittsburgh, PA 
Mean distance: 13.17 (cluster 17)


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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


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Adam Kohn collaborator 2000- NYU
Byron M. Yu collaborator 2010- Carnegie Mellon
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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
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
Snyder AC, Smith MA. (2017) Early steps toward understanding neuronal communication. Current Opinion in Neurology
Bittner SR, Williamson RC, Snyder AC, et al. (2017) Population activity structure of excitatory and inhibitory neurons. Plos One. 12: e0181773
Konecky RO, Smith MA, Olson CR. (2017) Monkey Prefrontal Neurons during Sternberg Task Performance: Full Contents of Working Memory or Most Recent Item? Journal of Neurophysiology. jn.00541.2016
Mayo JP, Smith MA. (2016) Neuronal Adaptation: Tired Neurons or Wired Networks? Trends in Neurosciences
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