What’s Black and White About the Grey Matter?
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Ananthanarayanan, R., Esser, S. K., Simon, H. D., & Modha, D. S. (2009). The cat is out of the bag: Cortical Simulations with 10^9 neurons and 10^13 synapses. Supercomputing 09: Proceedings of the ACM/IEEE SC2009 Conference on High Performance Networking and Computing, Nov 14–20, 2009, Portland, OR.
Banitt, Y., Martin, K. A., & Segev, I. (2007). A biologically realistic model of contrast invariant orientation tuning by thalamocortical synaptic depression. The Journal of Neuroscience, 27, 10230–10239.
Barlow, H. B. (1977). Performance, perception, dark-light, and gain boxes. In E. Pöppel, R. Held, & J. E. Dowling (Eds.), Neuronal mechanisms in visual perception (pp. 394–397). Cambridge: Neurosciences Research Program Bulletin 15, MIT Press.
Barlow, H. B. (1980). Cortical function: A tentative theory and preliminary test. In D. McFadden (Ed.), Neural mechanisms in behaviour (pp. 143–171). New York: Springer.
Barone, P., Batardiere, A., Knoblauch, K., & Kennedy, H. (2000). Laminar distribution of neurons in extrastriate areas projecting to visual areas V1 and V4 correlates with the hierarchical rank and indicates the operation of a distance rule. The Journal of Neuroscience, 20, 3263–3281.
Bas, E., & Erdogmus, D. (2011). Principal curves as skeletons of tubular objects: locally characterizing the structures of axons. Neuroinformatics, THIS ISSUE.
Binzegger, T., Douglas, R. J., & Martin, K. A. C. (2004). A quantitative map of the circuit of cat primary visual cortex. The Journal of Neuroscience, 24, 8441–8453.
Binzegger, T., Douglas, R. J., & Martin, K. A. C. (2009). Topology and dynamics of the canonical circuit of cat V1. Neural Networks, 22, 1071–1078.
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. (2005). Millisecond-timescale, genetically targeted optical control of neural activity. Nature Neuroscience, 8, 1263–1268.
Braitenberg, V., & Lauria, F. (1960). Toward a mathematical description of the grey substance of nervous systems. Nuovo Cimento, 18, 1135–1151.
Braitenberg, V., & Schüz, A. (1991). Peters’ rule and White’s exceptions. In: Anatomy of the cortex (pp. 109–112). Berlin: Springer.
Cajal, S. R. (1913–1914). Estudios Sobre la Degeneración y Regeneración del Sistema Nervioso, Moya. ‘Cajal’s Degeneration and Regeneration of the Nervous System’, OUP New York. Reprinted and edited with additional translations by J DeFelipe, J. and EG Jones, (1991).
Cajal, S. R. (1921). Histology of the visual cortex of the cat. Archivos de Neurobiologia, 2, 338–362. In. J. DeFelipe & E. G. Jones (Eds.), Cajal of the cerebral cortex (pp. 495–523). New York: OUP.
Cajal, S. R. (1937). Recollections of my life. Translated by EH Craigie, J Cano. 1989 Philadephia PA Am Philos. Soc.
Callaway, E. M. (2008). Transneuronal circuit tracing with neurotropic viruses. Current Opinion in Neurobiology, 18, 617–623.
Chothani, P., Mehta, V., & Stepanyants, A. (2011). Automated tracing of neurites from light microscopy stacks of images. Neuroinformatics, THIS ISSUE.
Cohen, Y. E., & Andersen, R. A. (2002). A common reference frame for movement plans in the posterior parietal cortex. Nature Reviews. Neuroscience, 3, 553–562.
Crick, F. H. C. In V. S. Ramachandran (1985). The neurobiology of perception. Perception 14, 97–103.
da Costa, N. M., & Martin, K. A. C. (2009). Selective targeting of the dendrites of corticothalamic cells by thalamic afferents in area 17 of the cat. The Journal of Neuroscience, 29, 13919–13928.
da Costa, N. M., & Martin, K. A. C. (2010). Whose cortical column would that be? Frontiers Neuroanat, 4, 16.
Douglas, R. J., & Martin, K. A. C. (1991). Opening the grey box. TINS, 14, 286–293.
Douglas, R. J., & Martin, K. A. C. (2007). Recurrent neuronal circuits in the neocortex. Current Biology, 17, R496–R500.
Douglas, R. J., Martin, K. A. C., & Whitteridge, D. (1989). A canonical microcircuit for neocortex. Neural Computation, 1, 480–488.
Eccles, J. C., Ito, M., & Szentágothai, J. (1967). The Cerebellum as a Neuronal Machine. New York: Springer. 343 pp.
Elston, G. N. (2002). Cortical heterogeneity: implications for visual processing and polysensory integration. Journal of Neurocytology, 31, 317–335.
Elston, G. N., Benavides-Piccione, R., & DeFelipe, J. (2001). The pyramidal cell in cognition: a comparative study in human and monkey. Journal of Neuroscience, 21, RC163, 1–5.
Felleman, D. J., & Van Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1, 1–47.
Ferster, D., & LeVay, S. (1978). The axonal arborizations of lateral geniculate neurons in the striate cortex of the cat. The Journal of Comparative Neurology, 182, 923–944.
Fulton, J. F. (1949). Physiology of the nervous system (pp. 288–312). New York: OUP.
Gilbert, C. D., & Wiesel, T. N. (1979). Morphology and intracortical projections of functionally characterized neurons in the cat visual cortex. Nature, 280, 120–125.
Gilbert, C. D., & Wiesel, T. N. (1981). Laminar specialization and intracortical connections in cat primary visual cortex. In F. O. Schmitt, F. G. Worden, G. Adelman, & S. G. Dennis (Eds.), The organization of the cerebral cortex (pp. 163–191). Cambridge: MIT.
Haeusler, S., Schuch, K., & Maass, W. (2009). Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates. Journal of Physiology - Paris, 103, 73–87.
Hayworth, K. J., Kasthuri, N., Schalek, R., & Lichtman, J. W. (2006). Automating the collection of ultrathin serial sections for large volume TEM reconstructions. Microscopy and Microanalysis, 12, 86–87. CUP.
Heeger, D. J., Simoncelli, E. P., & Movshon, J. A. (1996). Computational models of cortical visual processing. Proceedings of the National Academy of Sciences of the United States of America, 93, 623–627.
Heinzle, J., Hepp, K., & Martin, K. A. C. (2007). A microcircuit model of the frontal eye fields. The Journal of Neuroscience, 27, 9341–9353.
Heinzle, J., Hepp, K., & Martin, K. A. C. (2010). A biologically realistic cortical model of eye movement control in reading. Psychological Review, 117, 808–830.
Helmstaedter, M., de Kock, C. P., Feldmeyer, D., Bruno, R. M., & Sakmann, B. (2007). Reconstruction of an average cortical column in silico. Brain Research Reviews, 55, 193–203.
Helmstaedter, M., Briggman, K. L., & Denk, W. (2008). 3D structural imaging of the brain with photons and electrons. Current Opinion in Neurobiology, 18, 633–641.
Hilgetag, C. C., O’Neill, M. A., & Young, M. P. (1996). Indeterminate organization of the visual system. Science, 271, 776–777.
Hines, M. L., Markram, H., & Schürmann, F. (2008). Fully implicit parallel stimulation of single neurons. Journal of Computational Neuroscience, 25, 439–448.
Horton, J. C., & Adams, D. L. (2005). The cortical column: a structure without a function. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 360, 837–862.
Hubel, D. H., & Wiesel, T. N. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol, 160, 106–154.
Izhikevich, E. M., & Edelman, G. M. (2008). Large-scale model of mammalian thalamocortical systems. PNAS, 105, 3593–3598.
Kalisman, N., Silberberg, G., & Markram, H. (2005). The neocortical microcircuit as a tabula rasa. Proceedings of the National Academy of Sciences of the United States of America, 102, 880–885.
Kouh, M., & Poggio, T. (2008). A canonical neural circuit for cortical nonlinear operations. Neural Computation, 20, 1427–1451.
Lichtman, J. W., Livet, J., & Sanes, J. R. (2008). A technicolour approach to the connectome. Nature Reviews. Neuroscience, 9, 417–422.
Lorente de Nó, R. (1949). “Cerebral cortex: architecture, intracortical connections, motor projections,” in Physiology of the Nervous System, ed. J. F. Fulton (New York: Oxford University Press), 288–312.
Lorente de Nó, R. (1992). The cerebral cortex of the mouse, a first contribution—the acoustic cortex. Somatosensory and Motor Research. 9, 3–36, translated by A. Fairen, J. Regidor, L. Kruger, from the original, La corteza cerebral raton, primera contribucion- la corteza acustica, Trabajos del Laboratorio de Investigaciones Biologicas de la Universidad de Madrid, 20 (1922) 41–78.
Markov, N. T., Misery, P., Falchier, A., Lamy, C., Vezoli, J., Quilodran, R., et al. (2010). Weight consistency specifies regularities of Macaque Cortical Networks. Cerebral Cortex, (in press).
Markram, H. (2008). Fixing the location and dimensions of functional neocortical columns. HFSP Journal, 2, 132–135.
Markram, H. (2010). http://www.ted.com/talks/henry_markram_supercomputing_the_brain_s_secrets.html .
Meyer, H. S., Wimmer, V. C., Hemberger, M., Bruno, R. M., de Kock, C. P., Frick, A., et al. (2010). Cell type-specific thalamic innervation in a column of rat vibrissal cortex. Cerebral Cortex, 20, 2287–2303.
Meyer, H. S., Wimmer, V. C., Oberlaender, M., de Kock, C. P., Sakmann, B., & Helmstaedter, M. (2010). Number and laminar distribution of neurons in a thalamocortical projection column of rat vibrissal cortex. Cerebral Cortex, 20, 2277–2286.
Mormann, F., Kornblith, S., Quiroga, R. Q., Kraskov, A., Cerf, M., Fried, I., et al. (2008). Latency and selectivity of single neurons indicate hierarchical processing in the human medial temporal lobe. The Journal of Neuroscience, 28, 8865–8872.
Narayanaswamy, A., Wang, Y., & Roysam, B. (2011). A preprocessing pipeline to enhance 3-D images of neuronal arbors. Neuroinformatics, THIS ISSUE.
O’Connor, D. H., Huber, D., & Svoboda, K. (2009). Reverse engineering the mouse brain. Nature, 461, 923–929.
Peters, A., & Feldman, M. L. (1976). The projection of the lateral geniculate nucleus to area 17 of the rat cerebral cortex. I. General description. Journal of Neurocytology, 5, 63–84.
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005). Invariant visual representation by single neurons in the human brain. Nature, 435, 1102–1107.
Quiroga, R. Q., Kreiman, G., Koch, C., & Fried, I. (2008). Sparse but not ‘grandmother-cell’ coding in the medial temporal lobe. Trends in Cognitive Sciences, 12, 87–91.
Rockland, K. S. (1997). Elements of cortical architecture. Hierarchy revisited. In K. S. Rockland, J. H. Kaas, & A. Peters (Eds.), Cerebral cortex, vol. 12 (pp. 243–293). New York: Plenum.
Rockland, K. S. (2010). Five points on columns. Frontiers in Neuroanatomy, 4, 1–10.
Rockland, K. S., & Pandya, D. N. (1979). Laminar origins and terminations of cortical connections to the occipital lobe in the rhesus monkey. Brain Research, 179, 3–20.
Rushton, W. A. H. (1977). Some memories of visual research in the past 50 years. In The pursuit of nature (pp. 85–104.). Cambridge: CUP.
Rutishauser, U., & Douglas, R. J. (2009). State dependent computation using coupled recurrent networks. Neural Computation, 21, 478–509.
Seung, H. S. (2009). Reading the book of memory: sparse sampling versus dense mapping of connectomes. Neuron, 62, 17–29.
Seung, H. S. (2010). http://www.ted.com/talks/sebastian_seung.html .
Sherrington, C. (1940). Man on his Nature. Cambridge. CUP. p. 277.
Sholl, D. (1956). The organisation of the cerebral cortex. London: Methuen.
Sullivan, L. (1896). The tall office building artistically considered. Lippincotts Magazine (March). In I. Athey (Ed.), Kindergarten chats and other writings. New York: Dover Publications. 1979.
Tao-Cheng, J. H., Gallant, P. E., Brightman, M. W., Dosemeci, A., & Reese, T. S. (2007). Structural changes at synapses after delayed perfusion fixation in different regions of the mouse brain. The Journal of Comparative Neurology, 501, 731–740.
Thompson, D. W. (1971). On growth and form. Abridged Edition. Cambridge: CUP.
Tsodyks, M., Kenet, T., Grinvald, A., & Arieli, A. (1999). Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science, 286, 1943–1946.
Turetken, E., Gonzalez, G., Blum, C., Fua, P. (2011). Automated reconstruction of dendritic and axonal trees by global optimization with geometric priors. Neuroinformatics, THIS ISSUE.
Wang, Y., Narayanaswamy, A., Tsai, C., Roysam, B. (2011). Generally Applicable 3D >Neuron Tracing Approach and System based on Open-Curve Snake. Neuroinformatics, THIS ISSUE.
Wiesel, T. N., & Gilbert, C. D. (1983). The Sharpey-Schafer lecture. Morphological basis of visual cortical function. Quarterly Journal of Experimental Physiology, 68, 525–543.
Wimmer, V. C., Bruno, R. M., de Kock, C. P., Kuner, T., & Sakmann, B. (2010). Dimensions of a projection column and architecture of VPM and POm axons in rat vibrissal cortex. Cerebral Cortex, 20, 2265–2276.