| Space–time wiring specificity supports direction selectivity in the retina JS Kim, MJ Greene, A Zlateski, K Lee, M Richardson, SC Turaga, ... Nature 509 (7500), 331-336, 2014 | 545 | 2014 |
| Superhuman accuracy on the SNEMI3D connectomics challenge K Lee, J Zung, P Li, V Jain, HS Seung arXiv preprint arXiv:1706.00120, 2017 | 307 | 2017 |
| FlyWire: online community for whole-brain connectomics S Dorkenwald, CE McKellar, T Macrina, N Kemnitz, K Lee, R Lu, J Wu, ... Nature methods 19 (1), 119-128, 2022 | 209 | 2022 |
| Neuronal wiring diagram of an adult brain S Dorkenwald, A Matsliah, AR Sterling, P Schlegel, SC Yu, CE McKellar, ... Nature 634 (8032), 124-138, 2024 | 173 | 2024 |
| Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity NL Turner, T Macrina, JA Bae, R Yang, AM Wilson, C Schneider-Mizell, ... Cell 185 (6), 1082-1100. e24, 2022 | 164* | 2022 |
| Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ... BioRxiv, 2021.07. 28.454025, 2021 | 154 | 2021 |
| Binary and analog variation of synapses between cortical pyramidal neurons S Dorkenwald, NL Turner, T Macrina, K Lee, R Lu, J Wu, AL Bodor, ... Elife 11, e76120, 2022 | 110 | 2022 |
| Recursive training of 2D-3D convolutional networks for neuronal boundary prediction K Lee, A Zlateski, V Ashwin, HS Seung Advances in Neural Information Processing Systems 28, 2015 | 94 | 2015 |
| Oligodendrocyte precursor cells ingest axons in the mouse neocortex JA Buchanan, L Elabbady, F Collman, NL Jorstad, TE Bakken, C Ott, ... Proceedings of the National Academy of Sciences 119 (48), e2202580119, 2022 | 90 | 2022 |
| The neural basis for a persistent internal state in Drosophila females D Deutsch, D Pacheco, L Encarnacion-Rivera, T Pereira, R Fathy, ... Elife 9, e59502, 2020 | 74 | 2020 |
| Structure and function of axo-axonic inhibition CM Schneider-Mizell, AL Bodor, F Collman, D Brittain, A Bleckert, ... Elife 10, e73783, 2021 | 68 | 2021 |
| Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy K Lee, N Turner, T Macrina, J Wu, R Lu, HS Seung Current opinion in neurobiology 55, 188-198, 2019 | 64 | 2019 |
| ZNN--A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines A Zlateski, K Lee, HS Seung 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 62 | 2016 |
| An Error Detection and Correction Framework for Connectomics J Zung, I Tartavull, K Lee, HS Seung Advances in Neural Information Processing Systems, 6802-6813, 2017 | 47 | 2017 |
| Chandelier cell anatomy and function reveal a variably distributed but common signal CM Schneider-Mizell, AL Bodor, F Collman, D Brittain, AA Bleckert, ... BioRxiv, 2020.03. 31.018952, 2020 | 41 | 2020 |
| Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex CM Schneider-Mizell, AL Bodor, D Brittain, JA Buchanan, DJ Bumbarger, ... bioRxiv, 2023.01. 23.525290, 2024 | 40 | 2024 |
| Learning and segmenting dense voxel embeddings for 3D neuron reconstruction K Lee, R Lu, K Luther, HS Seung IEEE transactions on medical imaging 40 (12), 3801-3811, 2021 | 39* | 2021 |
| Chunkflow: hybrid cloud processing of large 3D images by convolutional nets J Wu, WM Silversmith, K Lee, HS Seung Nature Methods 18 (4), 328-330, 2021 | 38 | 2021 |
| ZNNi: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs A Zlateski, K Lee, HS Seung SC'16: Proceedings of the International Conference for High Performance …, 2016 | 36* | 2016 |
| Petascale neural circuit reconstruction: automated methods T Macrina, K Lee, R Lu, NL Turner, J Wu, S Popovych, W Silversmith, ... bioRxiv, 2021.08. 04.455162, 2021 | 35 | 2021 |
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu
