Abbott, L. F.; Bock, D. D.; Callaway, E. M.; Denk, W.; Dulac, C.; Fairhall, A. L.; Fiete, I.; Harris, K. M.; Helmstaedter, M.; Jain, V.et al.; Kasthuri, N.; LeCun, Y.; Lichtman, J. W.; Littlewood, P. B.; Luo, L.; Maunsell, J. H. R.; Reid, R. C.; Rosen, B. R.; Rubin, G. M.; Sejnowski, T. J.; Seung, H. S.; Svoboda, K.; Tank, D. W.; Tsao, D.; Van Essen, D. C.: The mind of a mouse. Cell 182 (6), S. 1372 - 1376 (2020)
Boergens, K. M.; Kapfer, C.; Helmstaedter, M.; Denk, W.; Borst, A.: Full reconstruction of large lobula plate tangential cells in Drosophila from a 3D EM dataset. PLoS One 13 (11), e0207828 (2018)
Hoffmann, J. H. O.; Meyer, H. S.; Schmitt, A. C.; Straehle, J.; Weitbrecht, T.; Sakmann, B.; Helmstaedter, M.: Synaptic conductance estimates of the connection between local inhibitor interneurons and pyramidal neurons in layer 2/3 of a cortical column. Cerebral Cortex 25 (11), S. 4415 - 4429 (2015)
Koelbl, C.; Helmstaedter, M.; Lübke, J.; Feldmeyer, D.: A barrel-related interneuron in layer 4 of rat somatosensory cortex with a high intrabarrel connectivity. Cerebral Cortex 25 (3), S. 713 - 725 (2015)
Helmstaedter, M.: Connectomics: New methods for the dense reconstruction of neuronal circuits. [Connectomics: Neue Methoden zur dichten Rekonstruktion neuronaler Schaltkreise]. Neuroforum 19 (1), S. 22 - 25 (2013)
Helmstaedter, M.; Briggman, K.; Turaga, S. C.; Jain, V.; Seung, H. S.; Denk, W.: Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature 500 (7461), S. 168 - 174 (2013)
Andres, B.; Koethe, U.; Kroeger, T.; Helmstaedter, M.; Briggman, K.; Denk, W.; Hamprecht, F. A.: 3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries. Medical Image Analysis 16 (4), S. 796 - 805 (2012)
Egger, R.; Narayanan, R. T.; Helmstaedter, M.; de Kock, C. P. J.; Oberlaender, M.: 3D reconstruction and standardization of the rat vibrissal cortex for precise registration of single neuron morphology. PLoS Computational Biology 8 (12), e1002837 (2012)
Helmstaedter, M.; Mitra, P. P.: Computational methods and challenges for large-scale circuit mapping. Current Opinion in Neurobiology 22 (1), S. 162 - 169 (2012)
Briggman, K.; Helmstaedter, M.; Denk, W.: Wiring specificity in the direction-selectivity circuit of the retina. Nature 471 (7337), S. 183 - 188 (2011)
Kleinfeld, D.; Bharioke, A.; Blinder, P.; Bock, D. D.; Briggman, K.; Chklovskii, D. B.; Denk, W.; Helmstaedter, M.; Kaufhold, J. P.; Lee, W. A.et al.; Meyer, H. S.; Micheva, K. D.; Oberlaender, M.; Prohaska, S.; Reid, R. C.; Smith, S. J.; Takemura, S.; Tsai, P. S.; Sakmann, B.: Large-scale automated histology in the pursuit of connectomes. The Journal of Neuroscience 31 (45), S. 16125 - 16138 (2011)
Turaga, S. C.; Murray, J. F.; Jain, V.; Roth, F.; Helmstaedter, M.; Briggman, K.; Denk, W.; Seung, H. S.: Convolutional networks can learn to generate affinity graphs for image segmentation. Neural computation 22 (2), S. 511 - 538 (2010)
Helmstaedter, M.; Briggman, K.; Denk, W.: 3D structural imaging of the brain with photons and electrons. Current Opinion in Neurobiology 18 (6), S. 633 - 641 (2008)
Bei Zebrafinken fällt kein Meistersänger vom Himmel. Jeder Jungvogel muss zunächst eine Gesangsschule durchlaufen. Singvögel sind deshalb gute Modellorganismen dafür, wie Lernvorgänge im Tierreich ablaufen