| Year |
Citation |
Score |
| 2022 |
Hamnett R, Dershowitz LB, Sampathkumar V, Wang Z, Gomez-Frittelli J, De Andrade V, Kasthuri N, Druckmann S, Kaltschmidt JA. Regional cytoarchitecture of the adult and developing mouse enteric nervous system. Current Biology : Cb. PMID 36070775 DOI: 10.1016/j.cub.2022.08.030 |
0.327 |
|
| 2021 |
Daie K, Svoboda K, Druckmann S. Targeted photostimulation uncovers circuit motifs supporting short-term memory. Nature Neuroscience. 24: 259-265. PMID 33495637 DOI: 10.1038/s41593-020-00776-3 |
0.35 |
|
| 2020 |
Wei Z, Lin BJ, Chen TW, Daie K, Svoboda K, Druckmann S. A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. Plos Computational Biology. 16: e1008198. PMID 32931495 DOI: 10.1371/Journal.Pcbi.1008198 |
0.435 |
|
| 2019 |
Stavisky SD, Willett FR, Wilson GH, Murphy BA, Rezaii P, Avansino DT, Memberg WD, Miller JP, Kirsch RF, Hochberg LR, Ajiboye AB, Druckmann S, Shenoy KV, Henderson JM. Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis. Elife. 8. PMID 31820736 DOI: 10.7554/Elife.46015 |
0.409 |
|
| 2019 |
Wan Y, Wei Z, Looger LL, Koyama M, Druckmann S, Keller PJ. Single-Cell Reconstruction of Emerging Population Activity in an Entire Developing Circuit. Cell. PMID 31564455 DOI: 10.1016/J.Cell.2019.08.039 |
0.45 |
|
| 2019 |
Wei Z, Inagaki H, Li N, Svoboda K, Druckmann S. An orderly single-trial organization of population dynamics in premotor cortex predicts behavioral variability. Nature Communications. 10: 216. PMID 30644387 DOI: 10.1038/S41467-018-08141-6 |
0.364 |
|
| 2018 |
Ranganathan GN, Apostolides PF, Harnett MT, Xu NL, Druckmann S, Magee JC. Active dendritic integration and mixed neocortical network representations during an adaptive sensing behavior. Nature Neuroscience. PMID 30349100 DOI: 10.1038/S41593-018-0254-6 |
0.474 |
|
| 2018 |
Kwon O, Feng L, Druckmann S, Kim J. Schaffer collateral inputs to CA1 excitatory and inhibitory neurons follow different connectivity rules. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 29728449 DOI: 10.1523/Jneurosci.0155-18.2018 |
0.445 |
|
| 2017 |
Turner-Evans D, Wegener S, Rouault H, Franconville R, Wolff T, Seelig JD, Druckmann S, Jayaraman V. Angular velocity integration in a fly heading circuit. Elife. 6. PMID 28530551 DOI: 10.7554/Elife.23496 |
0.405 |
|
| 2017 |
Kim SS, Rouault H, Druckmann S, Jayaraman V. Ring attractor dynamics in the Drosophila central brain. Science (New York, N.Y.). PMID 28473639 DOI: 10.1126/Science.Aal4835 |
0.508 |
|
| 2017 |
Guo ZV, Inagaki HK, Daie K, Druckmann S, Gerfen CR, Svoboda K. Maintenance of persistent activity in a frontal thalamocortical loop. Nature. PMID 28467817 DOI: 10.1038/Nature22324 |
0.427 |
|
| 2016 |
Li N, Daie K, Svoboda K, Druckmann S. Corrigendum: Robust neuronal dynamics in premotor cortex during motor planning. Nature. PMID 27362233 DOI: 10.1038/Nature18623 |
0.357 |
|
| 2016 |
Li N, Daie K, Svoboda K, Druckmann S. Robust neuronal dynamics in premotor cortex during motor planning. Nature. PMID 27074502 DOI: 10.1038/Nature17643 |
0.396 |
|
| 2015 |
Markram H, Muller E, Ramaswamy S, Reimann MW, Abdellah M, Sanchez CA, Ailamaki A, Alonso-Nanclares L, Antille N, Arsever S, Kahou GA, Berger TK, Bilgili A, Buncic N, Chalimourda A, ... ... Druckmann S, et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163: 456-492. PMID 26451489 DOI: 10.1016/J.Cell.2015.09.029 |
0.642 |
|
| 2015 |
Rah JC, Feng L, Druckmann S, Lee H, Kim J. From a meso- to micro-scale connectome: array tomography and mGRASP. Frontiers in Neuroanatomy. 9: 78. PMID 26089781 DOI: 10.3389/Fnana.2015.00078 |
0.333 |
|
| 2015 |
Schulze A, Gomez-Marin A, Rajendran VG, Lott G, Musy M, Ahammad P, Deogade A, Sharpe J, Riedl J, Jarriault D, Trautman ET, Werner C, Venkadesan M, Druckmann S, Jayaraman V, et al. Dynamical feature extraction at the sensory periphery guides chemotaxis. Elife. 4. PMID 26077825 DOI: 10.7554/Elife.06694 |
0.334 |
|
| 2014 |
Druckmann S, Feng L, Lee B, Yook C, Zhao T, Magee JC, Kim J. Structured synaptic connectivity between hippocampal regions. Neuron. 81: 629-40. PMID 24412418 DOI: 10.1016/J.Neuron.2013.11.026 |
0.419 |
|
| 2013 |
Druckmann S, Hill S, Schürmann F, Markram H, Segev I. A hierarchical structure of cortical interneuron electrical diversity revealed by automated statistical analysis. Cerebral Cortex (New York, N.Y. : 1991). 23: 2994-3006. PMID 22989582 DOI: 10.1093/Cercor/Bhs290 |
0.572 |
|
| 2013 |
Druckmann S, Berger TK, Schürmann F, Hill S, Markram H, Segev I. Correction: Effective Stimuli for Constructing Reliable Neuron Models Plos Computational Biology. 9. DOI: 10.1371/Annotation/C002Fbe1-712C-4608-9747-F1185F0B7Cf4 |
0.604 |
|
| 2012 |
Druckmann S, Chklovskii DB. Neuronal circuits underlying persistent representations despite time varying activity. Current Biology : Cb. 22: 2095-103. PMID 23084992 DOI: 10.1016/J.Cub.2012.08.058 |
0.469 |
|
| 2012 |
Druckmann S, Hu T, Chklovskii DB. A mechanistic model of early sensory processing based on subtracting sparse representations Advances in Neural Information Processing Systems. 3: 1979-1987. |
0.336 |
|
| 2011 |
Druckmann S, Berger TK, Schürmann F, Hill S, Markram H, Segev I. Effective stimuli for constructing reliable neuron models. Plos Computational Biology. 7: e1002133. PMID 21876663 DOI: 10.1371/Journal.Pcbi.1002133 |
0.649 |
|
| 2008 |
Druckmann S, Berger TK, Hill S, Schürmann F, Markram H, Segev I. Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biological Cybernetics. 99: 371-9. PMID 19011925 DOI: 10.1007/S00422-008-0269-2 |
0.593 |
|
| 2007 |
Druckmann S, Banitt Y, Gidon A, Schürmann F, Markram H, Segev I. A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data. Frontiers in Neuroscience. 1: 7-18. PMID 18982116 DOI: 10.3389/Neuro.01.1.1.001.2007 |
0.649 |
|
| 2007 |
Marcille N, Clopath C, Ranjan R, Druckmann S, Schuermann F, Markram H, Gerstner W. Predicting neuronal activity with an adaptive exponential integrate-and-fire model Bmc Neuroscience. 8: P121. DOI: 10.1186/1471-2202-8-S2-P121 |
0.472 |
|
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