Publikationen der Abteilung
"Elektronen - Photonen - Neutronen"
Zeitschriftenartikel (15)
Zeitschriftenartikel
An anatomical substrate of credit assignment in reinforcement learning. bioRxiv (2022)
Zeitschriftenartikel
182 (6), S. 1372 - 1376 (2020)
The mind of a mouse. Cell
Zeitschriftenartikel
183 (2), S. 537 - 548.e12 (2020)
Local axonal conduction shapes the spatiotemporal properties of neural sequences. Cell
Zeitschriftenartikel
64, S. 54 - 68 (2019)
Optimization of phase space files from clinical linear accelerators. Physica Medica
Zeitschriftenartikel
10, 2736 (2019)
Learning cellular morphology with neural networks. Nature Communications
Zeitschriftenartikel
13 (11), e0207828 (2018)
Full reconstruction of large lobula plate tangential cells in Drosophila from a 3D EM dataset. PLoS One
Zeitschriftenartikel
15 (8), S. 605 - 610 (2018)
High-precision automated reconstruction of neurons with flood-filling networks. Nature Methods
Zeitschriftenartikel
50, S. 261 - 267 (2018)
Progress and remaining challenges in high-throughput volume electron microscopy. Current Opinion in Neurobiology
Zeitschriftenartikel
9, 437 (2018)
A carbon nanotube tape for serial-section electron microscopy of brain ultrastructure. Nature Communications
Zeitschriftenartikel
23 (10), S. 2942 - 2954 (2018)
Volume EM reconstruction of spinal cord reveals wiring specificity in speed-related motor circuits. Cell Reports
Zeitschriftenartikel
14 (4), S. 435 - 442 (2017)
Automated synaptic connectivity inference for volume electron microscopy. Nature Methods
Zeitschriftenartikel
6, e24364 (2017)
EM connectomics reveals axonal target variation in a sequence-generating network. eLife
Zeitschriftenartikel
6, e25648 (2017)
Single-protein detection in crowded molecular environments in cryo-EM images. eLife
Zeitschriftenartikel
10, 62 (2016)
Progress towards mammalian whole-brain cellular connectomics. Frontiers in Neuroanatomy
Zeitschriftenartikel
12 (6), S. 541 - 546 (2015)
High-resolution whole-brain staining for electron microscopic circuit reconstruction. Nature Methods