| Year |
Citation |
Score |
| 2022 |
Chindemi G, Abdellah M, Amsalem O, Benavides-Piccione R, Delattre V, Doron M, Ecker A, Jaquier AT, King J, Kumbhar P, Monney C, Perin R, Rössert C, Tuncel AM, Van Geit W, ... ... Muller EB, et al. A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13: 3038. PMID 35650191 DOI: 10.1038/s41467-022-30214-w |
0.759 |
|
| 2022 |
Mei J, Muller E, Ramaswamy S. Informing deep neural networks by multiscale principles of neuromodulatory systems. Trends in Neurosciences. 45: 237-250. PMID 35074219 DOI: 10.1016/j.tins.2021.12.008 |
0.469 |
|
| 2021 |
Newton TH, Reimann MW, Abdellah M, Chevtchenko G, Muller EB, Markram H. In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations. Nature Communications. 12: 3630. PMID 34131136 DOI: 10.1038/s41467-021-23901-7 |
0.772 |
|
| 2021 |
Sáray S, Rössert CA, Appukuttan S, Migliore R, Vitale P, Lupascu CA, Bologna LL, Van Geit W, Romani A, Davison AP, Muller E, Freund TF, Káli S. HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. Plos Computational Biology. 17: e1008114. PMID 33513130 DOI: 10.1371/journal.pcbi.1008114 |
0.802 |
|
| 2020 |
Ecker A, Romani A, Sáray S, Káli S, Migliore M, Falck J, Lange S, Mercer A, Thomson AM, Muller E, Reimann MW, Ramaswamy S. Data-driven integration of hippocampal CA1 synaptic physiology in silico. Hippocampus. PMID 32520422 DOI: 10.1002/Hipo.23220 |
0.781 |
|
| 2020 |
Dai K, Hernando J, Billeh YN, Gratiy SL, Planas J, Davison AP, Dura-Bernal S, Gleeson P, Devresse A, Dichter BK, Gevaert M, King JG, Van Geit WAH, Povolotsky AV, Muller E, et al. The SONATA data format for efficient description of large-scale network models. Plos Computational Biology. 16: e1007696. PMID 32092054 DOI: 10.1371/Journal.Pcbi.1007696 |
0.715 |
|
| 2019 |
Barros-Zulaica N, Rahmon J, Chindemi G, Perin R, Markram H, Muller E, Ramaswamy S. Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex. Frontiers in Synaptic Neuroscience. 11: 29. PMID 31680928 DOI: 10.3389/Fnsyn.2019.00029 |
0.78 |
|
| 2019 |
Reimann MW, Gevaert M, Shi Y, Lu H, Markram H, Muller E. A null model of the mouse whole-neocortex micro-connectome. Nature Communications. 10: 3903. PMID 31467291 DOI: 10.1038/S41467-019-11630-X |
0.798 |
|
| 2019 |
Nolte M, Reimann MW, King JG, Markram H, Muller EB. Cortical reliability amid noise and chaos. Nature Communications. 10: 3792. PMID 31439838 DOI: 10.1038/S41467-019-11633-8 |
0.768 |
|
| 2018 |
Migliore R, Lupascu CA, Bologna LL, Romani A, Courcol JD, Antonel S, Van Geit WAH, Thomson AM, Mercer A, Lange S, Falck J, Rössert CA, Shi Y, Hagens O, Pezzoli M, ... ... Muller EB, et al. The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow. Plos Computational Biology. 14: e1006423. PMID 30222740 DOI: 10.1371/Journal.Pcbi.1006423 |
0.809 |
|
| 2017 |
Doron M, Chindemi G, Muller E, Markram H, Segev I. Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons. Cell Reports. 21: 1550-1561. PMID 29117560 DOI: 10.1016/J.Celrep.2017.10.035 |
0.803 |
|
| 2017 |
Ramaswamy S, Colangelo C, Muller EB. Distinct Activity Profiles of Somatostatin-Expressing Interneurons in the Neocortex. Frontiers in Cellular Neuroscience. 11: 273. PMID 28955203 DOI: 10.3389/Fncel.2017.00273 |
0.494 |
|
| 2017 |
Reimann MW, Horlemann AL, Ramaswamy S, Muller EB, Markram H. Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity. Cerebral Cortex (New York, N.Y. : 1991). 1-16. PMID 28637203 DOI: 10.1093/Cercor/Bhx150 |
0.814 |
|
| 2017 |
Gal E, London M, Globerson A, Ramaswamy S, Reimann MW, Muller E, Markram H, Segev I. Rich cell-type-specific network topology in neocortical microcircuitry. Nature Neuroscience. PMID 28581480 DOI: 10.1038/Nn.4576 |
0.817 |
|
| 2017 |
Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Muller E, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.705 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Muller E, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.688 |
|
| 2016 |
Van Geit W, Gevaert M, Chindemi G, Rössert C, Courcol JD, Muller EB, Schürmann F, Segev I, Markram H. BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. Frontiers in Neuroinformatics. 10: 17. PMID 27375471 DOI: 10.3389/Fninf.2016.00017 |
0.767 |
|
| 2016 |
Amsalem O, Van Geit W, Muller E, Markram H, Segev I. From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells. Cerebral Cortex (New York, N.Y. : 1991). PMID 27288316 DOI: 10.1093/Cercor/Bhw166 |
0.771 |
|
| 2015 |
Reimann MW, King JG, Muller EB, Ramaswamy S, Markram H. An algorithm to predict the connectome of neural microcircuits. Frontiers in Computational Neuroscience. 9: 120. PMID 26500529 DOI: 10.3389/Fncom.2015.00120 |
0.819 |
|
| 2015 |
Ramaswamy S, Courcol JD, Abdellah M, Adaszewski SR, Antille N, Arsever S, Atenekeng G, Bilgili A, Brukau Y, Chalimourda A, Chindemi G, Delalondre F, Dumusc R, Eilemann S, Gevaert ME, ... ... Muller EB, et al. The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex. Frontiers in Neural Circuits. 9: 44. PMID 26500503 DOI: 10.3389/Fncir.2015.00044 |
0.79 |
|
| 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, et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163: 456-492. PMID 26451489 DOI: 10.1016/J.Cell.2015.09.029 |
0.739 |
|
| 2015 |
Ramaswamy S, Muller EB. Cell-type specific modulation of neocortical UP and DOWN states. Frontiers in Cellular Neuroscience. 9: 370. PMID 26441541 DOI: 10.3389/Fncel.2015.00370 |
0.532 |
|
| 2015 |
Delattre V, Keller D, Perich M, Markram H, Muller EB. Network-timing-dependent plasticity. Frontiers in Cellular Neuroscience. 9: 220. PMID 26106298 DOI: 10.3389/Fncel.2015.00220 |
0.803 |
|
| 2015 |
Muller E, Bednar JA, Diesmann M, Gewaltig MO, Hines M, Davison AP. Python in neuroscience. Frontiers in Neuroinformatics. 9: 11. PMID 25926788 DOI: 10.3389/Fninf.2015.00011 |
0.415 |
|
| 2013 |
Farkhooi F, Froese A, Muller E, Menzel R, Nawrot MP. Cellular adaptation facilitates sparse and reliable coding in sensory pathways. Plos Computational Biology. 9: e1003251. PMID 24098101 DOI: 10.1371/Journal.Pcbi.1003251 |
0.351 |
|
| 2011 |
Farkhooi F, Muller E, Nawrot MP. Adaptation reduces variability of the neuronal population code. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 83: 050905. PMID 21728481 DOI: 10.1103/Physreve.83.050905 |
0.351 |
|
| 2011 |
Brüderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, de Oliveira DH, Jeltsch S, Fieres J, Schilling M, Müller P, ... ... Muller E, et al. A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biological Cybernetics. 104: 263-96. PMID 21618053 DOI: 10.1007/S00422-011-0435-9 |
0.785 |
|
| 2009 |
Davison AP, Hines ML, Muller E. Trends in programming languages for neuroscience simulations. Frontiers in Neuroscience. 3: 374-80. PMID 20198154 DOI: 10.3389/Neuro.01.036.2009 |
0.499 |
|
| 2009 |
Brüderle D, Müller E, Davison A, Muller E, Schemmel J, Meier K. Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Frontiers in Neuroinformatics. 3: 17. PMID 19562085 DOI: 10.3389/Neuro.11.017.2009 |
0.75 |
|
| 2009 |
Hines ML, Davison AP, Muller E. NEURON and Python. Frontiers in Neuroinformatics. 3: 1. PMID 19198661 DOI: 10.3389/Neuro.11.001.2009 |
0.541 |
|
| 2009 |
Muller E, Davison AP. Caring for the environment: the blooming "Python in Neuroscience" ecosystem Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-S5 |
0.506 |
|
| 2008 |
Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO. PyNEST: A Convenient Interface to the NEST Simulator. Frontiers in Neuroinformatics. 2: 12. PMID 19198667 DOI: 10.3389/Neuro.11.012.2008 |
0.409 |
|
| 2008 |
Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P. PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics. 2: 11. PMID 19194529 DOI: 10.3389/Neuro.11.011.2008 |
0.536 |
|
| 2007 |
Muller E, Buesing L, Schemmel J, Meier K. Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural Computation. 19: 2958-3010. PMID 17883347 DOI: 10.1162/Neco.2007.19.11.2958 |
0.766 |
|
| 2007 |
Cannon RC, Gewaltig MO, Gleeson P, Bhalla US, Cornelis H, Hines ML, Howell FW, Muller E, Stiles JR, Wils S, De Schutter E. Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics. 5: 127-38. PMID 17873374 DOI: 10.1007/S12021-007-0004-5 |
0.353 |
|
| 2007 |
Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, ... ... Muller E, et al. Simulation of networks of spiking neurons: a review of tools and strategies. Journal of Computational Neuroscience. 23: 349-98. PMID 17629781 DOI: 10.1007/S10827-007-0038-6 |
0.762 |
|
| 2007 |
Muller E, Schemmel J, Meier K. Non-renewal Markov models for spike-frequency adapting neural ensembles Bmc Neuroscience. 8: 1-1. DOI: 10.1186/1471-2202-8-S2-S12 |
0.72 |
|
| 2007 |
Davison A, Yger P, Kremkow J, Perrinet L, Muller E. PyNN: towards a universal neural simulator API in Python Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P2 |
0.511 |
|
| 1970 |
Davison A, Muller E, Kremkow J, Perrinet L, Yger P, Schmuker M, Brizzi T, Bruederle D, Eppler M, Pecevski D. NeuralEnsemble.Org: Unifying neural simulators in Python to ease the model complexity bottleneck Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.104 |
0.486 |
|
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