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Sabater-Muñoz B, Legeai F, Rispe C, Bonhomme J, Dearden P, Dossat C, Duclert A, Gauthier J-P, Ducray DGiblot, Hunter W et al..  2006.  Large-scale gene discovery in the pea aphid Acyrthosiphon pisum (Hemiptera).. Genome Biol. 7(3):R21.
Berenyi A, Somogyvári Z, Nagy AJ, Roux L, Long JD, Fujisawa S, Stark E, Leonardo A, Harris TD, Buzsáki G.  2014.  Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals.. Journal of Neurophysiology. 111(5):1132-49.
Ahrens MB, Engert F.  2015.  Large-scale imaging in small brains.. Current Opinion in Neurobiology. 32C:78-86.
Suzuki Y, Squires DC, Riddiford LM.  2009.  Larval leg integrity is maintained by distal-less and is required for proper timing of metamorphosis in the flour beetle, tribolium castaneum.. Developmental Biology. 326(1):60-7.
Muenzing SEA, Strauch M, Truman JW, Bühler K, Thum AS, Merhof D.  2018.  larvalign: Aligning gene expression patterns from the larval brain of Drosophila melanogaster.. Neuroinformatics. 16(1):65-80.
Lavis LD, Chao T-Y, Raines RT.  2006.  Latent blue and red fluorophores based on the trimethyl lock.. Chembiochem: A European Journal of Chemical Biology. 7(8):1151-4.
Huang GB, Yang H-F, Takemura S-ya, Rivlin P, Plaza SM.  2020.  Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes. arXiv.
Gregor K, Chklovskii DB.  2012.  A lattice filter model of the visual pathway.. Advances in Neural Information Processing Systems. 24:1709-17.
Chen B-C, Legant WR, Wang K, Shao L, Milkie DE, Davidson MW, Janetopoulos C, Wu XS, Hammer JA, Liu Z et al..  2014.  Lattice light-sheet microscopy: imaging molecules to embryos at high spatiotemporal resolution.. Science. 346(6208):1257998.
Yu J, Gutnisky DA, S Hires A, Svoboda K.  2016.  Layer 4 fast-spiking interneurons filter thalamocortical signals during active somatosensation.. Nature Neuroscience. 19(12):1647-57.
Zolnik TA, Ledderose J, Toumazou M, Trimbuch T, Oram T, Rosenmund C, Eickholt BJ, Sachdev RNS, Larkum ME.  2020.  Layer 6b Is driven by intracortical long-range projection neurons.. Cell Reports. 30(10):3492-3505.e5.
Shiu PK, Sterne GR, Spiller N, Franconville R, Sandoval A, Zhou J, Simha N, Kang CHyuk, Yu S, Kim JS et al..  2023.  A leaky integrate-and-fire computational model based on the connectome of the entire adult Drosophila brain reveals insights into sensorimotor processing. bioRxiv.
Im DJiwoong, Taylor GW.  2016.  Learning a metric for class-conditional KNN.. International Joint Conference on Neural Networks, IJCNN 2016.
Eyjolfsdottir E, Burgos-Artizzu XP, Branson S, Branson K, Anderson D, Perona P.  2012.  Learning animal social behavior from trajectory features.. Workshop on Visual Observation and Analysis of Animal and Insect Behavior.
Poort J, Khan AG, Pachitariu M, Nemri A, Orsolic I, Krupic J, Bauza M, Sahani M, Keller GB, Mrsic-Flogel TD et al..  2015.  Learning enhances sensory and multiple non-sensory representations in primary visual cortex.. Neuron. 86(6):1478-90.
Coddington LT, Dudman JT.  2019.  Learning from action: reconsidering movement signaling in midbrain dopamine neuron activity.. Neuron. 104(1):63-77.
Mi L, Wang H, Meirovitch Y, Schalek R, Turaga SC, Lichtman JW, Samuel ADT, Shavit N.  2020.  Learning Guided Electron Microscopy with Active Acquisition. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
Verma N, Mahajan D, Sellamanickam S, Nair V.  2012.  Learning hierarchical similarity metrics.. IEEE Conference on Computer Vision and Pattern Recognition.
Mongillo G, Curti E, Romani S, Amit DJ.  2005.  Learning in realistic networks of spiking neurons and spike-driven plastic synapses.. European Journal of Neuroscience. 21(11):3143-60.
Hermundstad AM, Brown KS, Bassett DS, Carlson JM.  2011.  Learning, memory, and the role of neural network architecture.. PLoS computational biology. 7(6):e1002063.
Jacobs DS, Allen MC, Park J, Moghaddam B.  2022.  Learning of probabilistic punishment as a model of anxiety produces changes in action but not punisher encoding in the dmPFC and VTA.. eLife. 11
Sun W, Winnubst J, Natrajan M, Lai C, Kajikawa K, Michaelos M, Gattoni R, Stringer C, Flickinger D, Fitzgerald JE et al..  2023.  Learning produces a hippocampal cognitive map in the form of an orthogonalized state machine.. bioRxiv.
Eyjolfsdottir E, Branson K, Yue Y, Perona P.  2016.  Learning recurrent representations for hierarchical behavior modeling.. arXiv. arXiv:1611.00094(arXiv:1611.00094)
Hige T, Turner G.  2015.  Learning: the good, the bad, and the fly.. Neuron. 86(2):343-5.
Jain V, Turaga SC, Briggman K, Helmstaedter MN, Denk W, Seung H.S.  2011.  Learning to Agglomerate Superpixel Hierarchies. Advances in Neural Information Processing Systems 24 (NIPS 2011). 24