Albert Cardona, Ph.D.

Janelia Farm Howard Hughes Medical Institute, Chevy Chase, MD, United States 
fruit fly, brain microarchitecture, circuitry, neural circuit reconstruction, TrakEM2, CATMAID
"Albert Cardona"

2008-2011: Group Leader at the Institute of Neuroinformatics of the University of Zurich and ETH Zurich.

Mean distance: 15.68 (cluster 6)
Cross-listing: Computational Biology Tree

BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Hörl D, Rojas Rusak F, Preusser F, et al. (2019) BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples. Nature Methods
Kohsaka H, Zwart MF, Fushiki A, et al. (2019) Regulation of forward and backward locomotion through intersegmental feedback circuits in Drosophila larvae. Nature Communications. 10: 2654
Andrade IV, Riebli N, Nguyen BM, et al. (2019) Developmentally Arrested Precursors of Pontine Neurons Establish an Embryonic Blueprint of the Drosophila Central Complex. Current Biology : Cb
Miroschnikow A, Schlegel P, Schoofs A, et al. (2018) Convergence of monosynaptic and polysynaptic sensory paths onto common motor outputs in a feeding connectome. Elife. 7
Carreira-Rosario A, Zarin AA, Clark MQ, et al. (2018) MDN brain descending neurons coordinately activate backward and inhibit forward locomotion. Elife. 7
Larderet I, Fritsch PM, Gendre N, et al. (2017) Organization of the larval visual circuit. Elife. 6
Takagi S, Cocanougher BT, Niki S, et al. (2017) Divergent Connectivity of Homologous Command-like Neurons Mediates Segment-Specific Touch Responses in Drosophila. Neuron
Gerhard S, Andrade I, Fetter RD, et al. (2017) Conserved neural circuit structure across Drosophila larva development revealed by comparative connectomics. Elife. 6
Eichler K, Li F, Litwin-Kumar A, et al. (2017) The complete connectome of a learning and memory centre in an insect brain. Nature. 548: 175-182
Arganda-Carreras I, Kaynig V, Rueden C, et al. (2017) Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinformatics (Oxford, England)
See more...