Local axonal conduction shapes the spatiotemporal properties of neural sequences. Egger R, Tupikov Y, Elmaleh M, Katlowitz K, Benezra S, Picardo M, Moll F, Kornfeld J, Jin DZ, Long MA Cell. 2020 183, (2), 537-548.e12.

An anatomical substrate of credit assignment in reinforcement learning. Kornfeld J, Januszewski M, Schubert P, Jain V, Denk W, Fee MS biorxiv 2020,


Learning cellular morphology with neural networks. Schubert P*, Dorkenwald S, Januszewski M, Jain V, Kornfeld J*. Nature Communications 2019, 2736. *corresponding author


Volume EM Reconstruction of Spinal Cord Reveals Wiring Specificity in Speed-Related Motor Circuits. Svara F, Kornfeld J, Denk W, Bollmann J. Cell Reports. 2018 23 (10), 2942-2954.

High-precision automated reconstruction of neurons with flood-filling networks. Januszewski M, Kornfeld J, Li P, Pope A,Blakely T,Lindsey L, Maitin-Shepard J, Tyka M, Denk W, Jain V Nature Methods. 2018 15, 605–610.

Progress and remaining challenges in high-throughput volume electron microscopy. Kornfeld J* and Denk W. Current Opinion in Neurobiology, 2018 50, 261-267. *corresponding author. Review article


EM connectomics reveals axonal target variation in a sequence-generating network. Kornfeld J*, Benezra SE*, Narayanan RT, Svara F, Egger R, Oberlaender M, Denk W, Long MA. eLife. 2017 6, e24364. *co-first

Automated synaptic connectivity inference for volume electron microscopy. Dorkenwald S, Schubert PJ, Killinger MF, Urban G, Mikula S, Svara F, Kornfeld J*. Nature Methods. 2017 14, 435-442. *corresponding author


Evidence for a causal inverse model in an avian cortico-basal ganglia circuit. Giret N, Kornfeld J, Ganguli, S, and Hahnloser, RH. Proceedings of the National Academy of Sciences. 2014 111 (16), 6063–6068.


Prediction of Folding Equilibria of Differently Substituted Peptides Using One-Step Perturbation. Lin Z, Kornfeld J, Mächler M, and van Gunsteren WF. Journal of the American Chemical Society. 2010 132 (21), 7276–7278.

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