Uygar Sumbul, Ph.D. - Publications

Affiliations: 
2009 Stanford University, Palo Alto, CA 
Area:
Electrical Engineering

6/13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2014 Sümbül U, Zlateski A, Vishwanathan A, Masland RH, Seung HS. Automated computation of arbor densities: a step toward identifying neuronal cell types. Frontiers in Neuroanatomy. 8: 139. PMID 25505389 DOI: 10.3389/Fnana.2014.00139  1
2014 Seung HS, Sümbül U. Neuronal cell types and connectivity: lessons from the retina. Neuron. 83: 1262-72. PMID 25233310 DOI: 10.1016/J.Neuron.2014.08.054  1
2014 Miyasaka N, Arganda-Carreras I, Wakisaka N, Masuda M, Sümbül U, Seung HS, Yoshihara Y. Olfactory projectome in the zebrafish forebrain revealed by genetic single-neuron labelling. Nature Communications. 5: 3639. PMID 24714622 DOI: 10.1038/Ncomms4639  1
2014 Sümbül U, Song S, McCulloch K, Becker M, Lin B, Sanes JR, Masland RH, Seung HS. A genetic and computational approach to structurally classify neuronal types. Nature Communications. 5: 3512. PMID 24662602 DOI: 10.1038/Ncomms4512  1
2009 Sümbül U, Santos JM, Pauly JM. A practical acceleration algorithm for real-time imaging. Ieee Transactions On Medical Imaging. 28: 2042-51. PMID 19709964 DOI: 10.1109/Tmi.2009.2030474  1
2009 Sümbül U, Santos JM, Pauly JM. Improved time series reconstruction for dynamic magnetic resonance imaging. Ieee Transactions On Medical Imaging. 28: 1093-104. PMID 19150785 DOI: 10.1109/Tmi.2008.2012030  1
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2019 Smith SJ, Sümbül U, Graybuck LT, Collman F, Seshamani S, Gala R, Gliko O, Elabbady L, Miller JA, Bakken TE, Rossier J, Yao Z, Lein E, Zeng H, Tasic B, et al. Single-cell transcriptomic evidence for dense intracortical neuropeptide networks. Elife. 8. PMID 31710287 DOI: 10.7554/Elife.47889  0.2
2019 Smith SJ, Sümbül U, Graybuck LT, Collman F, Seshamani S, Gala R, Gliko O, Elabbady L, Miller JA, Bakken TE, Rossier J, Yao Z, Lein E, Zeng H, Tasic B, et al. Author response: Single-cell transcriptomic evidence for dense intracortical neuropeptide networks Elife. DOI: 10.7554/Elife.47889.Sa2  0.2
2020 Smith SJ, Hawrylycz M, Rossier J, Sümbül U. New light on cortical neuropeptides and synaptic network plasticity. Current Opinion in Neurobiology. 63: 176-188. PMID 32679509 DOI: 10.1016/J.Conb.2020.04.002  0.01
2020 Iascone DM, Li Y, Sümbül U, Doron M, Chen H, Andreu V, Goudy F, Blockus H, Abbott LF, Segev I, Peng H, Polleux F. Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking. Neuron. PMID 32169170 DOI: 10.1016/J.Neuron.2020.02.015  0.04
2014 Sümbül U, Song S, McCulloch K, Becker M, Lin B, Sanes JR, Masland RH, Seung HS. Erratum: A genetic and computational approach to structurally classify neuronal subtypes Nature Communications. 5. DOI: 10.1038/Ncomms5690  0.01
2006 Ozaktas HM, Sumbul U. Interpolating Between Periodicity and Discreteness Through the Fractional Fourier Transform Ieee Transactions On Signal Processing. 54: 4233-4243. DOI: 10.1109/Tsp.2006.880224  0.01
2003 Sümbül U, Ozaktas HM. Fractional free space, fractional lenses, and fractional imaging systems. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 20: 2033-40. PMID 14620331 DOI: 10.1364/Josaa.20.002033  0.01
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