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Uygar Sümbül
Uygar Sümbül
Verified email at alleninstitute.org - Homepage
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Cited by
Year
Integrated morphoelectric and transcriptomic classification of cortical GABAergic cells
NW Gouwens, SA Sorensen, F Baftizadeh, A Budzillo, BR Lee, T Jarsky, ...
Cell 183 (4), 935-953. e19, 2020
3172020
A genetic and computational approach to structurally classify neuronal types
U Sümbül, S Song, K McCulloch, M Becker, B Lin, JR Sanes, RH Masland, ...
Nature communications 5 (1), 3512, 2014
1892014
Neuronal cell types and connectivity: lessons from the retina
HS Seung, U Sümbül
Neuron 83 (6), 1262-1272, 2014
1552014
Whole-neuron synaptic mapping reveals spatially precise excitatory/inhibitory balance limiting dendritic and somatic spiking
DM Iascone, Y Li, U Sümbül, M Doron, H Chen, V Andreu, F Goudy, ...
Neuron 106 (4), 566-578. e8, 2020
1252020
Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
SJ Smith, U Sümbül, LT Graybuck, F Collman, S Seshamani, R Gala, ...
elife 8, e47889, 2019
1032019
Olfactory projectome in the zebrafish forebrain revealed by genetic single-neuron labelling
N Miyasaka, I Arganda-Carreras, N Wakisaka, M Masuda, U Sümbül, ...
Nature communications 5 (1), 3639, 2014
762014
Improved time series reconstruction for dynamic magnetic resonance imaging
U Sumbul, JM Santos, JM Pauly
IEEE transactions on medical imaging 28 (7), 1093-1104, 2009
462009
Improved Time Series Reconstruction for Dynamic MRI
U Sümbül, JM Santos, J Pauly
Proc. Intl. Soc. Mag. Reson. Med. 16, 00792, 2008
46*2008
A practical acceleration algorithm for real-time imaging
U Sumbul, JM Santos, JM Pauly
IEEE transactions on medical imaging 28 (12), 2042-2051, 2009
422009
A coupled autoencoder approach for multi-modal analysis of cell types
R Gala, N Gouwens, Z Yao, A Budzillo, O Penn, B Tasic, G Murphy, ...
Advances in Neural Information Processing Systems 32, 2019
352019
Consistent cross-modal identification of cortical neurons with coupled autoencoders
R Gala, A Budzillo, F Baftizadeh, J Miller, N Gouwens, A Arkhipov, ...
Nature computational science 1 (2), 120-127, 2021
322021
Automated computation of arbor densities: a step toward identifying neuronal cell types
U Sümbül, A Zlateski, A Vishwanathan, RH Masland, HS Seung
Frontiers in neuroanatomy 8, 139, 2014
312014
Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types
A Nandi, T Chartrand, W Van Geit, A Buchin, Z Yao, SY Lee, Y Wei, ...
Cell reports 40 (6), 2022
292022
Toward an integrated classification of neuronal cell types: morphoelectric and transcriptomic characterization of individual GABAergic cortical neurons
NW Gouwens, SA Sorensen, F Baftizadeh, A Budzillo, BR Lee, T Jarsky, ...
BioRxiv, 2020.02. 03.932244, 2020
292020
Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network
YH Liu, S Smith, S Mihalas, E Shea-Brown, U Sümbül
Proceedings of the National Academy of Sciences 118 (51), e2111821118, 2021
222021
New light on cortical neuropeptides and synaptic network plasticity
SJ Smith, M Hawrylycz, J Rossier, U Sümbül
Current opinion in neurobiology 63, 176-188, 2020
222020
Automated scalable segmentation of neurons from multispectral images
U Sümbül, D Roossien, D Cai, F Chen, N Barry, JP Cunningham, ...
Advances in neural information processing systems 29, 2016
202016
Interpolating between periodicity and discreteness through the fractional Fourier transform
HM Ozaktas, U Sumbul
IEEE transactions on signal processing 54 (11), 4233-4243, 2006
132006
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
YH Liu, S Smith, S Mihalas, E Shea-Brown, U Sümbül
Advances in Neural Information Processing Systems 35, 17528-17542, 2022
82022
Toward an integrated classification of cell types: morphoelectric and transcriptomic characterization of individual GABAergic cortical neurons
NW Gouwens, SA Sorensen, F Baftizadeh, A Budzillo, BR Lee, T Jarsky, ...
82020
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Articles 1–20