Joergen Kornfeld
Affiliations: | 2019-2020 | Brain and Cognitive Sciences | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
Connectomics, SongbirdGoogle:
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Publications
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| Sigmund F, Berezin O, Beliakova S, et al. (2023) Genetically encoded barcodes for correlative volume electron microscopy. Nature Biotechnology |
| Schubert PJ, Dorkenwald S, Januszewski M, et al. (2022) SyConn2: dense synaptic connectivity inference for volume electron microscopy. Nature Methods. 19: 1367-1370 |
| Schubert PJ, Dorkenwald S, Januszewski M, et al. (2019) Learning cellular morphology with neural networks. Nature Communications. 10: 2736 |
| Svara FN, Kornfeld J, Denk W, et al. (2018) Volume EM Reconstruction of Spinal Cord Reveals Wiring Specificity in Speed-Related Motor Circuits. Cell Reports. 23: 2942-2954 |
| Kornfeld J, Benezra SE, Narayanan RT, et al. (2017) EM connectomics reveals axonal target variation in a sequence-generating network. Elife. 6 |
| Dorkenwald S, Schubert PJ, Killinger MF, et al. (2017) Automated synaptic connectivity inference for volume electron microscopy. Nature Methods |
| Giret N, Kornfeld J, Ganguli S, et al. (2014) Evidence for a causal inverse model in an avian cortico-basal ganglia circuit. Proceedings of the National Academy of Sciences of the United States of America. 111: 6063-8 |