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 | 528 | 2014 |
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 | 101 | 2022 |
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 | 95 | 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 | 92 | 2015 |
On the importance of label quality for semantic segmentation A Zlateski, R Jaroensri, P Sharma, F Durand Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 90 | 2018 |
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 | 60 | 2016 |
Optimizing N-dimensional, winograd-based convolution for manycore CPUs Z Jia, A Zlateski, F Durand, K Li Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018 | 59 | 2018 |
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 | 58 | 2022 |
Structure and function of axo-axonic inhibition CM Schneider-Mizell, AL Bodor, F Collman, D Brittain, A Bleckert, ... Elife 10, e73783, 2021 | 56 | 2021 |
Image segmentation by size-dependent single linkage clustering of a watershed basin graph A Zlateski, HS Seung arXiv preprint arXiv:1505.00249, 2015 | 49 | 2015 |
Multiscale and multimodal reconstruction of cortical structure and function NL Turner, T Macrina, JA Bae, R Yang, AM Wilson, C Schneider-Mizell, ... Biorxiv, 2020.10. 14.338681, 2020 | 40 | 2020 |
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 | 39 | 2020 |
ZNN i: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs A Zlateski, K Lee, HS Seung Proceedings of the International Conference for High Performance Computing …, 2016 | 34* | 2016 |
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 | 31 | 2014 |
The anatomy of efficient FFT and winograd convolutions on modern CPUs A Zlateski, Z Jia, K Li, F Durand Proceedings of the ACM International Conference on Supercomputing, 414-424, 2019 | 28 | 2019 |
Oligodendrocyte precursor cells prune axons in the mouse neocortex JA Buchanan, L Elabbady, F Collman, NL Jorstad, TE Bakken, C Ott, ... BioRxiv, 2021.05. 29.446047, 2021 | 26 | 2021 |
A multicore path to connectomics-on-demand A Matveev, Y Meirovitch, H Saribekyan, W Jakubiuk, T Kaler, G Odor, ... Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of …, 2017 | 23 | 2017 |
FFT convolutions are faster than Winograd on modern CPUs, here is why A Zlateski, Z Jia, K Li, F Durand arXiv preprint arXiv:1809.07851, 2018 | 18 | 2018 |
System and method of executing neural networks A Matveev, N Shavit US Patent 10,832,133, 2020 | 17 | 2020 |
Compile-time optimized and statically scheduled ND convnet primitives for multi-core and many-core (Xeon Phi) CPUs A Zlateski, HS Seung Proceedings of the International Conference on Supercomputing, 1-10, 2017 | 14 | 2017 |