The world of the identified or digital neuron

References

• Arendt, D. (2008). The evolution of cell types in animals: Emerging principles from molecular studies. Nature Reviews Genetics, 9, 868. doi:10.1038/nrg2416
   PubMed Web of Science ®Google Scholar
• Atwood, H.L., Govind, C.K., & Wu, C.F. (1993). Differential ultrastructure of synaptic terminals on ventral longitudinal abdominal muscles in Drosophila larvae. Journal of Neurobiology, 24, 1008–1024. doi:10.1002/neu.480240803
   PubMed Web of Science ®Google Scholar
• Badea, T.C., & Nathans, J. (2004). Quantitative analysis of neuronal morphologies in the mouse retina visualized by using a genetically directed reporter. Journal of Comparative Neurology, 480, 331–351. doi:10.1002/cne.20304
   Google Scholar
• Beech, E., Rivers, M., Oldfield, S., & Smith, P.P. (2017). Global tree search: The first complete global database of tree species and country distributions. Journal of Sustainable Forestry, 36, 454–489. doi:10.1080/10549811.2017.1310049
   Google Scholar
• Braitenberg, V. (1967). Patterns of projection in the visual system of the fly. I. Retina-lamina projections. Experimental Brain Research, 3, 271–298.
   Google Scholar
• Brand, A.H., & Perrimon, N. (1993). Targeted gene-expression as a means of altering cell fates and generating dominant phenotypes. Development, 118, 401–415.
   PubMed Web of Science ®Google Scholar
• Bullock, T.H. (1978). Identifiable and addressed neurons in the vertebrates. In: D.S. Faber & H. Korn (Eds.), Neurobiology of the Mauthner Cell (Vols. 1–12) (pp. 290). New York: Raven.
   Google Scholar
• Bullock, T.H. (2000). Revisiting the concept of identifiable neurons. Brain, Behavior and Evolution, 55, 236–240. doi:10.1159/000006657
   PubMed Web of Science ®Google Scholar
• Bullock, T.H., & Horridge, G.A. (1965). Structure and Function in the Nervous Systems of Invertebrates (Vol. 2). San Francisco, W.H. Freeman.
   Google Scholar
• Cajal, S., & Sánchez, D. (1915). Contribución al conocimiento de los centros nerviosos de los insectos. Trabajos Del Instituto Cajal De Investigaciones Biologicas (Madrid), 13, 1–164.
   Google Scholar
• Chiang, A.S., Lin, C.Y., Chuang, C.C., Chang, H.M., Hsieh, C.H., Yeh, C.W., et al. (2011). Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution. Current Biology, 21, 1–11. doi:10.1016/j.cub.2010.11.056
   Google Scholar
• Clarac, F., & Pearlstein, E. (2007). Invertebrate preparations and their contribution to neurobiology in the second half of the 20th century. Brain Research Reviews, 54, 113–161. doi:10.1016/j.brainresrev.2006.12.007
   Google Scholar
• Comer, C.M., & Robertson, R.M. (2001). Identified nerve cells and insect behavior. Progress in Neurobiology, 63, 409–439. doi:10.1016/S0301-0082(00)00051-4
   PubMed Web of Science ®Google Scholar
• Cook, J.E. (2003). Spatial regularity among retinal neurons. In: L. M. Chalupa & J. S. Werner (Eds.), The Visual Neurosciences (pp. 463–477). Cambridge MA, MIT Press.
   Google Scholar
• Cuntz, H., Forstner, F., Haag, J., & Borst, A. (2008). The morphological identity of insect dendrites. PLOS Computational Biology, 4, e1000251. doi:10.1371/journal.pcbi.1000251
   Google Scholar
• Cuntz, H., Forstner, F., Schnell, B., Ammer, G., Raghu, S.V., & Borst, A. (2013). Preserving neural function under extreme scaling. PLoS One, 8, e71540 doi:10.1371/journal.pone.0071540
   PubMed Web of Science ®Google Scholar
• del Valle Rodríguez, A., Didiano, D., & Desplan, C. (2011). Power tools for gene expression and clonal analysis in Drosophila. Nature Methods, 9, 7–55. doi:10.1038/nmeth.1800
   PubMed Web of Science ®Google Scholar
• Dolan, M.J., Luan, H., Shropshire, W.C., Sutcliffe, B., Cocanougher, B., Scott, R.L., … White, B.H. (2017). Facilitating Neuron-Specific genetic manipulations in Drosophila melanogaster using a split GAL4 repressor. Genetics, 206, 775–784. doi:10.1534/genetics
   PubMed Web of Science ®Google Scholar
• Fischbach, K.-F., & Dittrich, A.P.M. (1989). The optic lobe of Drosophila melanogaster. I. A Golgi analysis of wild-type structure. Cell and Tissue Research, 258, 441–475. doi:10.1007/BF00218858
   Google Scholar
• Fischer, S., Lu, Z., & Meinertzhagen, I.A. (2018). From two to three dimensions: the importance of the third dimension for evaluating the limits to neuronal miniaturization in insects. Journal of Comparative Neurology, 526, 653–662. doi:10.1002/cne.24358
   Google Scholar
• Hanesch, U., Fischbach, K.-F., & Heisenberg, M. (1989). Neuronal architecture of the central complex in Drosophila melanogaster. Cell and Tissue Research, 257, 343–366. doi:10.1007/BF00261838
   Google Scholar
• Hausen, K. (1982). Motion sensitive interneurons in the optomotor system of the fly – I. The horizontal cells: structure and signals. Biological Cybernetics, 45, 143–156. doi:10.1007/BF00335241
   Google Scholar
• Hengstenberg, R., Hausen, K., & Hengstenberg, B. (1982). The number and structure of giant vertical cells (VS) in the lobula plate of the blowfly Calliphora erythrocephala. Journal of Comparative Physiology, 149, 163–177. doi:10.1007/BF00619211
   Google Scholar
• Henry, G.L., Davis, F.P., Picard, S., & Eddy, S.R. (2012). Cell type–specific genomics of Drosophila neurons. Nucleic Acids Research, 40, 9691–9704. doi:10.1093/nar/gks671
   Google Scholar
• Hobert, O., Carrera, I., & Stefanakis, N. (2010). The molecular and gene regulatory signature of a neuron. Trends in Neurosciences, 33, 435–445. doi:10.1016/j.tins.2010.05.006
   Google Scholar
• Horridge, G.A., & Meinertzhagen, I.A. (1970). The accuracy of the patterns of connexions of the first- and second-order neurons of the visual system of Calliphora. Proceedings of the Royal Society of London. Series B, Biological sciences, 175, 69–82.
   Google Scholar
• Hoyle, G. (Ed.). (1977). Identified Neurons and Behavior of Arthropods. New York, Plenum Press.
   Google Scholar
• Kandel, E. (1976). Cellular Basis of Behavior: An Introduction to Behavioral Neurobiology (pp. 727). San Francisco, W.H. Freeman.
   Google Scholar
• Kong, J.H., Fish, D.R., Rockhill, R.L., & Masland, R.H. (2005). Diversity of ganglion cells in the mouse retina: Unsupervised morphological classification and its limits. Journal of Comparative Neurology, 489, 293–310. doi:10.1002/cne.20631
   PubMed Web of Science ®Google Scholar
• Knott, G., Rosset, S., & Cantoni, M. (2011). Focussed ion beam milling and scanning electron microscopy of brain tissue. Journal of visualized experiments, 6, e2588. doi:10.3791/2588
   Google Scholar
• Lee, T., & Luo, L. (1999). Mosaic analysis with a repressible cell marker for studies of gene function in neuronal morphogenesis. Neuron, 22, 451–461. doi:10.1016/S0896-6273(00)80701-1
   PubMed Web of Science ®Google Scholar
• Luan, H., Peabody, N.C., Vinson, C.R., & White, B.H. (2006). Refined spatial manipulation of neuronal function by combinatorial restriction of transgene expression. Neuron, 52, 425–436. doi:10.1016/j.neuron.2006.08.028
   PubMed Web of Science ®Google Scholar
• Masland, R.H. (2001). The fundamental plan of the retina. Nature Neuroscience, 4, 877–886. doi:10.1038/nn0901-877
   Google Scholar
• Masland, R.H. (2004). Neuronal cell types. Current Biology, 14, R497–R500. doi:10.1016/j.cub.2004.06.035
   Google Scholar
• Meinertzhagen, I.A. (2016). Connectome studies on Drosophila: A short perspective on a tiny brain. Journal of Neurogenetics, 30, 62–68. doi:10.3109/01677063.2016.1166224
   Google Scholar
• Meinertzhagen, I.A. (2018). Of what use is connectomics? (Commentary). Journal of Experimental Biology, (in press).
   Google Scholar
• Meinertzhagen, I.A., & Sorra, K.E. (2001). Synaptic organisation in the fly's optic lamina: Few cells, many synapses and divergent microcircuits. Progress in Brain Research, 131, 53–69.
   Google Scholar
• Meinertzhagen, I.A., Takemura, S.-Y., Lu, Z., Huang, S., Gao, S., Ting, C.-Y., & Lee, C.-H. (2009). From form to function: The ways to know a neuron. Journal of Neurogenetics, 23, 68–77. doi:10.1080/01677060802610604
   Google Scholar
• Miyazaki, T., & Ito, K. (2010). Neural architecture of the primary gustatory center of Drosophila melanogaster visualized with GAL4 and LexA enhancer-trap systems. Journal of Comparative Neurology, 518, 4147–4181. doi:10.1002/cne.22433
   PubMed Web of Science ®Google Scholar
• Nern, A., Pfeiffer, B.D., & Rubin, G.M. (2015). Optimized tools for multicolor stochastic labeling reveal diverse stereotyped cell arrangements in the fly visual system. Proceedings of the National Academy of Sciences of the United States of America, 112, E2967–E2976. doi:10.1073/pnas.1506763112
   Google Scholar
• Randel, N., Asadulina, A., Bezares-Calderón, L.A., Verasztó, C., Williams, E.A., Conzelmann, M., et al. (2014). Neuronal connectome of a sensory-motor circuit for visual navigation. Elife, 3, doi:10.7554/eLife.02730.
   PubMed Web of Science ®Google Scholar
• Randel, N., Shahidi, R., Verasztó, C., Bezares-Calderón, L.A., Schmidt, S., & Jékely, G. (2015). Inter-individual stereotypy of the Platynereis larval visual connectome. Elife, 4, e08069. doi:10.7554/eLife.08069
   PubMed Web of Science ®Google Scholar
• Ready, D.F., Hanson, T.E., & Benzer, S. (1976). Development of the Drosophila retina, a neurocrystalline lattice. Developmental Biology, 53, 217–240. https://doi.org/10.1016/0012-1606(76)90225-6
   Google Scholar
• Ryan, K., Lu, Z., & Meinertzhagen, I.A. (2016). The CNS connectome of a tadpole larva of Ciona intestinalis highlights sidedness in the brain of a chordate sibling. eLife, 5, e16962. doi:10.7554/eLife.16962]10.7554/eLife.16962
   PubMed Web of Science ®Google Scholar
• Ryan, K., Lu, Z., & Meinertzhagen, I.A. (2018). The peripheral nervous system of the ascidian tadpole larva: Types of neurons and their synaptic networks. Journal of Comparative Neurology, 526, 583–608. doi:10.1002/cne.24353
   PubMed Web of Science ®Google Scholar
• Sanes, J.R., & Masland, R.H. (2015). The types of retinal ganglion cells: current status and implications for neuronal classification. Annual Review of Neuroscience, 38, 221–246. doi:10.1146/annurev-neuro-071714-034120
   PubMed Web of Science ®Google Scholar
• Sanes, J.R., & Zipursky, S.L. (2010). Design principles of insect and vertebrate visual systems. Neuron, 66, 15–36. doi:10.1016/j.neuron.2010.01.018
   PubMed Web of Science ®Google Scholar
• Schwabe, T., Neuert, H., & Clandinin, T.R. (2013). A network of cadherin-mediated interactions polarizes growth cones to determine targeting specificity. Cell, 154, 351–364. doi:10.1016/j.cell.2013.06.011
   PubMed Web of Science ®Google Scholar
• Seung, H.S., & Sümbül, U. (2014). Neuronal cell types and connectivity: lessons from the retina. Neuron, 83, 1262–1272. doi:10.1016/j.neuron.2014.08.054
   PubMed Web of Science ®Google Scholar
• Shekhar, K., Lapan, S.W., Whitney, I.E., Tran, N.M., Macosko, E.Z., Kowalczyk, M., et al. (2016). Comprehensive classification of retinal bipolar neurons by single-cell transcriptomics. Cell, 166, 1308–1323.e30. doi:10.1016/j.cell.2016.07.054
   PubMed Web of Science ®Google Scholar
• Shinomiya, K., Karuppudurai, T., Lin, T.-Y., Lu, Z., Lee, C.-H., & Meinertzhagen, I.A. (2014). Candidate neural substrates of Off-edge motion detection in Drosophila. Current Biology, 24, 1062–1070. doi:10.1016/j.cub.2014.03.051
   Google Scholar
• Shinomiya, K., Matsuda, K., Oishi, T., Otsuna, H., & Ito, K. (2011). Flybrain neuron database: a comprehensive database system of the Drosophila brain neurons. Journal of Comparative Neurology, 519, 807–833. doi:10.1002/cne.22540
   PubMed Web of Science ®Google Scholar
• Shinomiya, K., Takemura, S., Nern, A., Rivlin, P.K., Plaza, S.M., Scheffer, L.K., & Meinertzhagen, I.A. (2015). A common evolutionary origin for the ON- and OFF-motion detection pathways of the Drosophila visual system. Frontiers in Neural Circuits, 9, 1–12. doi:10.3389/fncir.2015.00033
   Google Scholar
• Strausfeld, N.J. (1970). Golgi studies on insects. Part II. The optic lobes of Diptera. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 258, 135–223. doi:10.1098/rstb.1970.0033]10.1098/rstb.1970.0033
   PubMed Web of Science ®Google Scholar
• Strausfeld, N.J. (1971). The organization of the insect visual system (light microscopy). I. Projections and arrangements of neurons in the lamina ganglionaris of Diptera. Zeitschrift für Zellforschung und mikroskopische Anatomie, 121, 377–441. doi:10.1007/BF00337640
   Google Scholar
• Strausfeld, N.J. (1976). Atlas of an Insect Brain. Berlin, Heidelberg, Springer-Verlag.
   Google Scholar
• Strausfeld, N.J. (2012). Arthropod Brains. Cambridge, MA: Harvard University Press.
   Google Scholar
• Sümbül, U., Zlateski, A., Vishwanathan, A., Masland, R.H., & Seung, H.S. (2014). Automated computation of arbor densities: a step toward identifying neuronal cell types. Frontiers in Neuroanatomy, 8, 139. doi:10.3389/fnana.2014.00139
   Google Scholar
• Takemura, S.Y., Aso, Y., Hige, T., Wong, A., Lu, Z., Xu, C.S., … Ivlin, P.K., et al. (2017b). A connectome of a learning and memory center in the adult Drosophila brain. Elife, 6, e26975. doi:10.7554/eLife.26975
   PubMed Web of Science ®Google Scholar
• Takemura, S., Bharioke, A., Lu, Z., Nern, A., Vitaladevuni, S., Rivlin, P.K., et al. (2013). A visual motion detection circuit suggested by Drosophila connectomics. Nature, 500, 175–181. doi:10.1038/nature12450
   PubMed Web of Science ®Google Scholar
• Takemura, S., Lu, Z., & Meinertzhagen, I.A. (2008). Synaptic circuits of the Drosophila optic lobe: the input terminals to the medulla. Journal of Comparative Neurology, 509, 493–513. doi:10.1002/cne.21757
   Google Scholar
• Takemura, S., Nern, A., Plaza, S., Chklovskii, D.B., Scheffer, L.K., Rubin, G.M., et al. (2017a). The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila. eLife, 6, e24394. doi:10.7554/eLife.24394
   PubMed Web of Science ®Google Scholar
• Takemura, S., Xu, C.S., Lu, Z., Rivlin, P.K., Olbris, D.J., Parag, T., et al. (2015). Multi-column synaptic circuits and an analysis of their variations in the visual system of Drosophila. Proceedings of the National Academy of Sciences of the United States of America, 112, 13711–13716. doi:10.1073/pnas.1509820112
   Google Scholar
• Tanaka, N.K., Endo, K., & Ito, K. (2012). Organization of antennal lobe-associated neurons in adult Drosophila melanogaster brain. Journal of Comparative Neurology, 520, 4067–4130. doi:10.1002/cne.23142
   PubMed Web of Science ®Google Scholar
• Vosshall, L.B., & Stocker, R.F. (2007). Molecular architecture of smell and taste in Drosophila. Annual Review of Neuroscience, 30, 505–533. doi:10.1146/annurev.neuro.30.051606.094306
   PubMed Web of Science ®Google Scholar
• Weir, P.T., Henze, M.J., Bleul, C., Baumann-Klausener, F., Labhart, T., & Dickinson, M.H. (2016). Anatomical reconstruction and functional imaging reveal an ordered array of skylight polarization detectors in Drosophila. Journal of Neuroscience, 36, 5397–5404. doi:10.1523/JNEUROSCI.0310-16.2016
   Google Scholar
• Wiersma, C.A.G. (Ed.). (1967). Invertebrate nervous systems: Their significance for mammalian physiology. Chicago, IL, University of Chicago Press.
   Google Scholar
• White, J.G., Southgate, E., Thomson, J.N., & Brenner, S. (1986). The structure of the nervous system of the nematode Caenorhabditis elegans. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 314, 1–340. doi:10.1098/rstb.1986.0056
   PubMed Web of Science ®Google Scholar
• Wolff, T., Iyer, N.A., & Rubin, G.M. (2015). Neuroarchitecture and neuroanatomy of the Drosophila central complex: A GAL4-based dissection of protocerebral bridge neurons and circuits. Journal of Comparative Neurology, 523, 997–1037. doi:10.1002/cne.23705
   PubMed Web of Science ®Google Scholar
• Wong, A.M., Wang, J.W., & Axel, R. (2002). Spatial representation of the glomerular map in the Drosophila protocerebrum. Cell, 109, 229–241. doi:10.1016/S0092-8674(02)00707-9
   PubMed Web of Science ®Google Scholar
• Xu, C.S., Hayworth, K.J., Lu, Z., Grob, P., Hassan, A.M., García-Cerdán, J.G., … Hess, H.F. (2017). Enhanced FIB-SEM systems for large-volume 3D imaging. Elife, 6, e25916. doi:10.7554/eLife.25916
   PubMed Web of Science ®Google Scholar