| Competitive Hebbian learning through spike-timing-dependent synaptic plasticity S Song, KD Miller, LF Abbott Nature neuroscience 3 (9), 919-926, 2000 | 3159 | 2000 |
| Highly nonrandom features of synaptic connectivity in local cortical circuits S Song, PJ Sjöström, M Reigl, S Nelson, DB Chklovskii PLoS biology 3 (3), e68, 2005 | 1645 | 2005 |
| Going deeper with embedded FPGA platform for convolutional neural network J Qiu, J Wang, S Yao, K Guo, B Li, E Zhou, J Yu, T Tang, N Xu, S Song, ... Proceedings of the 2016 ACM/SIGDA international symposium on field …, 2016 | 1380 | 2016 |
| Towards artificial general intelligence with hybrid Tianjic chip architecture J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ... Nature 572 (7767), 106-111, 2019 | 681 | 2019 |
| Cortical development and remapping through spike timing-dependent plasticity S Song, LF Abbott Neuron 32 (2), 339-350, 2001 | 600 | 2001 |
| Resolving conflict in eutherian mammal phylogeny using phylogenomics and the multispecies coalescent model S Song, L Liu, SV Edwards, S Wu Proceedings of the National Academy of Sciences 109 (37), 14942-14947, 2012 | 496 | 2012 |
| Cell type-specific structural plasticity of axonal branches and boutons in the adult neocortex V De Paola, A Holtmaat, G Knott, S Song, L Wilbrecht, P Caroni, ... Neuron 49 (6), 861-875, 2006 | 479 | 2006 |
| Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges J Tang, F Yuan, X Shen, Z Wang, M Rao, Y He, Y Sun, X Li, W Zhang, Y Li, ... Advanced Materials 31 (49), 1902761, 2019 | 438 | 2019 |
| Evaluate the malignancy of pulmonary nodules using the 3-d deep leaky noisy-or network F Liao, M Liang, Z Li, X Hu, S Song IEEE transactions on neural networks and learning systems 30 (11), 3484-3495, 2019 | 438 | 2019 |
| Differential depression at excitatory and inhibitory synapses in visual cortex JA Varela, S Song, GG Turrigiano, SB Nelson Journal of Neuroscience 19 (11), 4293-4304, 1999 | 207 | 1999 |
| Improved calcium sensor GCaMP-X overcomes the calcium channel perturbations induced by the calmodulin in GCaMP Y Yang, N Liu, Y He, Y Liu, L Ge, L Zou, S Song, W Xiong, X Liu Nature communications 9 (1), 1504, 2018 | 190 | 2018 |
| 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 | 184 | 2014 |
| Spike-timing-dependent plasticity: common themes and divergent vistas A Kepecs, MCW Van Rossum, S Song, J Tegner Biological cybernetics 87, 446-458, 2002 | 151 | 2002 |
| Power-efficient neural network with artificial dendrites X Li, J Tang, Q Zhang, B Gao, JJ Yang, S Song, W Wu, W Zhang, P Yao, ... Nature Nanotechnology 15 (9), 776-782, 2020 | 135 | 2020 |
| Increased axonal bouton dynamics in the aging mouse cortex FW Grillo, S Song, LM Teles-Grilo Ruivo, L Huang, G Gao, GW Knott, ... Proceedings of the National Academy of Sciences 110 (16), E1514-E1523, 2013 | 122 | 2013 |
| A system hierarchy for brain-inspired computing Y Zhang, P Qu, Y Ji, W Zhang, G Gao, G Wang, S Song, G Li, W Chen, ... Nature 586 (7829), 378-384, 2020 | 108 | 2020 |
| Temporally asymmetric hebbian learning, spike liming and neural response variability L Abbott, S Song Advances in neural information processing systems 11, 1998 | 93 | 1998 |
| Unsupervised paraphrasing by simulated annealing X Liu, L Mou, F Meng, H Zhou, J Zhou, S Song arXiv preprint arXiv:1909.03588, 2019 | 82 | 2019 |
| A central catecholaminergic circuit controls blood glucose levels during stress Z Zhao, L Wang, W Gao, F Hu, J Zhang, Y Ren, R Lin, Q Feng, M Cheng, ... Neuron 95 (1), 138-152. e5, 2017 | 71 | 2017 |
| An effective self-supervised framework for learning expressive molecular global representations to drug discovery P Li, J Wang, Y Qiao, H Chen, Y Yu, X Yao, P Gao, G Xie, S Song Briefings in Bioinformatics 22 (6), bbab109, 2021 | 70 | 2021 |
Sacha NelsonDepartment of Biology, Brandeis UniversityVerified email at brandeis.edu
