Abeles, M. 1982. Local Cortical Circuits. An Electrophysiological Study. New York: Springer.

Abeles, M. 1991. Corticonics: Neuronal Circuits ofthe Cerebral Cortex. Cambridge: Cambridge Univ. Press.

Abeles, M., and G.L. Gerstein. 1988. Detecting spatiotemporal firing patterns among simultaneously recorded single neurones. J. Neurophysiol. 60:909-924.

Ahmed, B., J.C. Anderson, R.J. Douglas, K.A.C. Martin, and J.C. Nelson. 1994. Polyneuronal innervation of spiny stellate neurons in cat visual cortex. J. Comp. Neurol. 341:39-49.

Albus, K. 1975. A quantitative study of the projection area of the central and the paracentral visual field in area 17 ofthe cat. II. The spatial organization ofthe orientation domain. Exp. Brain Res. 24:181-202.

Anderson, J., I. Lampl, I. Reichova, M. Carandini, and D. Ferster. 2000. Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex. Nat. Neurosci. 3:617-21.

Arieli, A., A. Sterkin, A. Grinvald, and A. Aertsen. 1996. Dynamics of ongoing activity: Explanation of the large variability in evoked cortical responses. Science 273: 1868-1871.

Barlow, H.B. 1972. Single units and sensation: A neurone doctrine for perceptual psychology? Perception 1:371-394.

Basole A., L.E. White, and D. Fitzpatrick. 2003. Mapping multiple features in the population response of visual cortex. Nature 423:986-990.

Bienenstock, E. 1996. On the dimensionality of cortical graphs. J. Physiol. Paris 90:251-256.

Bienenstock, E., and R. Doursat. 1991. Issues of representation in neural networks. In: Representations of Vision, ed. A. Gorea, Y. Fregnac, Z. Kapoula, and J. Findlay, pp. 47-67. Cambridge: Cambridge Univ. Press.

Binzegger, T., R.J. Douglas, and K.A.C. Martin. 2004. A quantitative map ofthe circuit of cat primary visual cortex. J. Neurosci. 24:8441-8453.

Blatow, M., A. Rozov, I. Katona et al. 2003. Anovel network of multipolar bursting inter-neurons generates theta-frequency oscillations in neocortex. Neuron 38:805-817.

Bok, S.T. 1936. Aquantitative analysis ofthe structure ofthe cerebral cortex. Proc. Acad. Sci. Amst. 35:1-55.

Bringuier, V., F. Chavane, L. Glaeser, and Y. Fregnac. 1999. Horizontal propagation of visual activity in the synaptic integration field of area 17 neurons. Science 283: 695-699.

Bringuier, V., Y. Fregnac, A. Baranyi, D. Debanne, and D. Shulz. 1997. Synaptic origin and stimulus dependency of neuronal oscillatory activity in the primary visual cortex ofthe cat. J.Physiol. 500:751-774.

Buonomano, D.V., andM.M. Merzenich. 1995. Temporal information transformed into a spatial code by a neural network with realistic properties. Science 267:1028-1030.

Cajal, S.R. 1909. Histologie du Système Nerveux de l'Homme et des Vertébrés. Paris: Maloine.

Cavanagh, P. 2003. The language of vision. The Perception 2003 Lecture. ECVP, Paris, September. Perception 32:1.

Chance, F.S., L.F. Abbott, and A.D. Reyes. 2002. Gain modulation from background synaptic input. Neuron 35:773-782.

Chklovskii, D.B., T. Schikorski, and C.F. Stevens. 2002. Wiring optimization in cortical circuits. Neuron 34:341-347.

Darwin, C. 1859. On the Origin of Species.

Dayan, P., and L.F. Abbott, eds. 2001. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, MA: MIT Press.

DeFelipe, J., L. Alonso-Nanclares, and J.I. Arellano. 2002. Microstructure ofthe neocortex: Comparative aspects. J. Neurocytol. 31:299-316.

Dehaene, S., and J.-P. Changeux. 1991. The Wisconsin card sorting test: Theoretical analysis and modeling in a neuronal network. Cereb. Cortex 1:62-79.

Dehaene, S., G. Dehaene-Lambertz, and L. Cohen. 1998. Abstract representations of numbers in the animal and human brain. TINS 21:355-361.

Dehaene, S., and L. Naccache. 2001. Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework. Cognition 79:1-37.

Dehaene, S., L. Naccache, H.G. Le Clec et al. 1998. Imaging unconscious semantic priming. Nature 395:597-600.

Delage, Y. 1919. Le Rève: Etude Psychologique, Philosophique et Litteraire. Paris: Presses Universitaires de France.

Destexhe, A., M. Rudolph, and D. Paré. 2003. The high-conductance state of neocortical neurons in vivo. Nat. Rev. Neurosci. 4:739-751.

Douglas, R.J., and K.A.C. Martin. 1991. A functional microcircuit for cat visual cortex. J.Physiol. 440:735-769.

Douglas, R.J., and K.A.C. Martin. 2004. Neuronal circuits ofthe neocortex. Ann. Rev. Neurosci. 27:419-51.

Douglas, R.J., K.A.C. Martin, andD. Witteridge. 1989. Acanonical microcircuit for neocortex. Neural Comput. 1:480-488.

Elston, G.N., R. Benavides-Piccione, and J. DeFelipe. 2001. The pyramidal cell in cognition: A comparative study in human and monkey. J. Neurosci. 21:RC163.

Elston, G.N., and J. DeFelipe. 2002. Spine distribution in cortical pyramidal cells: A common organizational principle across species. Prog. Brain Res. 136:109-133.

Fitch, W.T., and M.D. Hauser. 2004. Computational constraints on syntactic processing in a nonhuman primate. Science 303:377-380.

Fitzpatrick, D. 1996. The functional organization of local circuits in visual cortex: Insights from the study of tree shrew striate cortex. Cereb. Cortex 6:329-341.

Fleischhauer, K. 1978. The tangential organization ofthe cat motor cortex. Verh. Anat. Ges. 72:725-726.

Floreano, D., and J. Urzelai. 2000. Evolutionary robots with on-line self-organization and behavioral fitness. Neural Networks 13:431-443.

Fransén, E., and A. Lansner. 1995. Low spiking rates in a population of mutually exciting pyramidal cells. Network Comput. Neural Syst. 6:271-288.

Frégnac, Y., P. Baudot, M. Levy, and O. Marre. 2005. An intracellular view of time coding and sparseness of cortical representation in V1 neurons during virtual oculomotor exploration of natural scenes. In: Cosyne ( html).

Fregnac, Y., and V. Bringuier. 1996. Spatio-temporal dynamics of synaptic integration in cat visual cortical receptive fields. In: Brain Theory: Biological Basis and Computational Theory of Vision, ed. A. Aertsenand V. Braitenberg, pp. 143-199. Amsterdam: Springer.

Fregnac, Y., C. Monier, F. Chavane, P. Baudot, and L. Graham. 2003. Shunting inhibition, a silent step in visual cortical computation. J. Physiol. 97:441-451.

Gabor, D. 1969. Associative holographic memories. IBM J. Res. Devel. 13:156-159.

Galarreta, M., and S. Hestrin. 2001. Electrical synapses between GABA-releasing interneurons. Nat. Rev. Neurosci. 2:425-433.

Georgopoulos, A.P., A.B.Schwartz, and R.E. Kettner. 1986. Neuronal population coding of movement direction. Science 233:1416-1419.

Gilbert, C.D., and T.N. Wiesel. 1979. Morphology and intracortical projections of functionally characterized neurones in the cat visual cortex. Nature 280:120-125.

Gilbert, C.D., and T.N. Wiesel. 1983. Clustered intrinsic connections in cat visual cortex. J. Neurosci. 3:1116-1133.

Grinvald, A., E.E. Lieke, R.D. Frostig, and R. Hildesheim. 1994. Cortical point-spread function and long-range lateral interactions revealed by real-time optical imaging of macaque monkey primary visual cortex. J. Neurosci. 14:2545-2568.

Gupta, A., Y. Wang, and H. Markram. 2000. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science 287:273-278.

Hasenstaub, A., Y. Shu, B. Haider et al. 2005. Inhibitory postsynaptic potentials carry synchronized frequency information in active cortical networks. Neuron 47:423435.

Hinton, G.E., and J.A. Anderson. 1981. Parallel Models of Associative Memory. Hillsdale, NJ: Erlbaum.

Hopfield, J.J. 1982. Neural networks and physical systems with emergent collective computational abilities. PNAS 79:2554-2558.

Hubel, D.H., and T.N. Wiesel. 1962. Receptive fields, binocular interaction, and functional architecture in the cat's visual cortex. J. Physiol. 160:106-154.

Hubel, D.H., and T.N. Wiesel. 1963. Shape and arrangements of columns in the cat's striate cortex. J.Physiol. 165:559-568.

Hubel, D.H., and T.N. Wiesel. 1974. Uniformity of monkey striate cortex: Aparallel relationship between field size, scatter, and magnification factor. J. Comp. Neurol. 158:295-306.

Hubel, D.H., and T.N. Wiesel. 1977. Functional architecture of macaque monkey visual cortex. Proc. R. Soc. Lond. B 198:1-59.

Huguet, N., G. Sadoc, P. Baudot et al. 2004. Conditional maps ofvisual cortical receptive fields: Up- and Down- state dependency in visually evoked dynamics. Neuroscience 34:648.

Ikegaya, Y., G. Aaron, R. Cossart et al. 2004. Synfire chains and cortical songs: Temporal modules of cortical activity. Science 304:559-564.

James, W. 1890. Psychology: Briefer Course. Cambridge, MA: Harvard Univ. Press.

Koch, C. 2004. The Quest for Consciousness: ANeurobiological Approach. Greenwood Village, CO: Roberts & Co.

Kohonen, T. 1977. Associative Memory: A System Theoretical Approach. Berlin: Springer.

Lehmann, D. 1971. Multichannel topography of human alpha EEG fields. Electro-enceph. Clin. Neurophysiol. 31:439-449.

Lehmann, D., H. Ozaki, and I. Pal. 1987. EEG alpha map series: Brain micro-states by space-oriented adaptive segmentation. Electroenceph. Clin. Neurophysiol. 67:271288.

Le Van Quyen, M., J. Martinerie, V. Navarro, M. Baulac, and F.J. Varela. 2001. Characterizing neurodynamic changes before seizures. J.Clin. Neurophysiol. 18:191-208.

Longuet-Higgins, H.C. 1968. The non-local storage of temporal information. Proc. R. Soc. Lond. B 171:327-334.

Lorente de No, R. 1938. Architectonics and structure of the cerebral cortex. In: Physiology of the Nervous System, ed. J.F. Fulton, pp. 291-330. New York: Oxford Univ. Press.

Maas, W., P. Joshi, and E.D. Sontag. 2006. Principles of real-time computing with feedback applied to cortical microcircuit models. In: Advances in Neural Information Processing Systems, vol. 18. Cambridge, MA: MIT Press, in press.

Maass, W., R. Legenstein, and N. Bertschinger. 2005. Methods for estimating the computational power and generalization capability of neural microcircuits. In: Advances in Neural Information Processing Systems, vol 17, ed. L.K. Saul, Y. Weiss, and L. Bottou, pp. 865-872. Cambridge, MA: MIT Press. Available online as #160 from publications.html

Maass, W., T. Natschlager, and H. Markram. 2002. Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Comput. 14:2531-2560.

Malach, R. 1992. Dendritic sampling across processing streams inmonkey striate cortex. J. Comp. Neurol. 315:303-312.

Markram, H., J. Lübke, M. Frotscher, andB. Sakmann. 1997. Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275:213-215.

McAdams, C.J., and J.H.R. Maunsell. 1999. Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4. J. Neurosci. 19:431-441.

Mead, C., ed. 1989. Analog VLSI andNeural System. Reading, MA: Addison-Wesley.

Mel, B.W. 2003. Why have dendrites? A computational perspective. In: Dendrites, ed. G. Stuart, N. Spruston, and M. Hausser, pp. 271-289. Oxford: Oxford Univ. Press.

Michel, C.M., M. Seeck, andT. Landis. 1999. Spatiotemporal dynamics of human cognition. News Physiol. Sci. 14:206-214.

Mitchison, G. 1991. Neuronal branching patterns and the economy of cortical wiring. Proc. R. Soc. Lond. B 245:151-158.

Monier, C., F. Chavane, P. Baudot, L. Graham, andY. Fregnac. 2003. Orientation and direction selectivity of excitatory and inhibitory inputs in visual cortical neurons: A diversity of combinations produces spike tuning. Neuron 37:663-680.

Monyer, H., and H. Markram. 2004. Interneuron diversity series: Molecular and genetic tools to study GABAergic interneuron diversity and function. TINS 27:90-97.

Mooser, F., W.H. Bosking, and D. Fitzpatrick. 2004. A morphological basis for orientation tuning in primary visual cortex. Nat. Neurosci. 78:872-879.

Mountcastle, V.B. 1997. The columnar organization of the neocortex. Brain 120 Pt. 4:701-722.

Mountcastle, V.B., and G.M. Edelman, eds. 1982. Mindful Brain: Cortical Organization and the Group-selective Theory of Higher Brain Function. Cambridge, MA: MIT Press.

Nilsson, D.-E., andS. Pelger. 1994. Apessimistic estimate of the time required for an eye to evolve. Science 256:53-58.

Nowak, J.Z., J.B. Zawilska, and K. Trzepizur. 1997. Alpha 2-adrenergic receptors regulate generation of cyclic AMP in the pineal gland, but not in cerebral cortex of chick. Pol. J. Pharmacol. 49:137-141.

Paré, D., E. Shink, H. Gaudreau, A. Destexhe, and E. Lang. 1998. Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons in vivo. J. Neurophysiol. 79:1450-1460.

Peters, A., andl.R. Kaiserman-Abramof. 1970. The small pyramidal neuron of the rat cerebral cortex. The perikaryon, dendrites, and spines. Am. J. Anat. 127:321-355.

Peters, A., and T.M. Walsh. 1972. A study of the organization of apical dendrites in the somatic sensory cortex of the rat. J. Comp. Neurol. 144:253-268.

Petersen, C.C., T.T. Hahn, M. Mehta, A. Grinvald, and B. Sakmann. 2003. Interaction of sensory responses with spontaneous depolarization in layer II/III barrel cortex. PNAS 100:13,638-13,643.

Rakic, P. 1988. Specification of cerebral cortical areas. Science 241:170-176.

Reinagel, P., and R.C. Reid. 2000. Temporal coding of visual information in the thalamus. J. Neurosci. 20:5392-5400.

Reynolds, J. H., T. Pasternak, and R. Desimone. 2000. Attention increases sensitivity of V4 neurons. Neuron 26:703-714.

Riehle, A., S. Grün, M. Diesmann, and A. Aertsen. 1997. Spike synchronization and rate modulation differentially involved in motor cortical function. Science 278:19501953.

Rieke, F. 1999. Computing with lipids, proteins, and ions. Neuron 23:31-32.

Rolls, E.T., andS.M. Stringer. 2001. Amodel of the interaction between mood and memory. Network Comput. Neural Syst. 12:89-109.

Rudolph, M., and A. Destexhe. 2001. Do neocortical pyramidal neurons display stochastic resonance? J. Comp. Neurosci. 11:19-42.

Russier, M., I.L. Kopysova. N. Ankri, N. Ferrand, and D. Debanne. 2002. GABA and glycine co-release optimizes functional inhibition in rat brainstem motoneurons in vitro. J.Physiol. 541(1):123-137

Sanchez-Vives, M.V., and D.A. McCormick. 2000. Cellular and network mechanisms of rhythmic recurrent activity in neocortex. Nat. Neurosci. 3:1027-1034.

Schmidt, K.E., R. Goebel, S. Lowel, andW. Singer. 1997. The perceptual grouping criterion of colinearity is reflected by anisotropies of connections in the primary visual cortex. Eur. J. Neurosci. 9:1083-1089.

Schummers, J., J. Marino, and M. Sur. 2002. Synaptic integration by V1 neurons depends on location within the orientation map. Neuron 36:969-978.

Shah, A.S., S.L. Bressler, K.H. Knuth et al. 2004. Neural dynamics and the fundamental mechanisms of event-related brain potentials. Cereb. Cortex 14:476-483.

Shapley, R., M. Hawken, and D.L. Ringach. 2003. Dynamics of orientation selectivity in the primary visual cortex and the importance of cortical inhibition. Neuron 38: 689-699.

Sharma, J., A. Angelucci, and M. Sur. 2000. Induction of visual orientation modules in auditory cortex. Nature 404:841-847.

Sharon, D., and A. Grinvald. 2002. Dynamics and constancy in cortical spatiotemporal patterns of orientation processing. Science 295:512-515.

Shelley, M., D. McLaughlin, R. Shapley, and J. Wielaard. 2002. States of high conductance in a large-scale model of the visual cortex. J. Comput. Neurosci. 13:93-109.

Sholl, D.A. 1956. The Organization of the Cerebral Cortex. London: Methuen.

Shu, Y., A.R. Hasenstaub, M. Badoual, T. Bal, and D.A. McCormick. 2003a. Barrage of synaptic activity control the gain and sensitivity of cortical neurons. J. Neurosci. 23:10,388-10,401.

Shu, Y., A. Hasenstaub, and D.A. McCormick. 2003b. Turning on and off recurrent balanced cortical activity. Nature 423:288-293.

Sinha, S., and W.L. Ditto. 1998. Dynamics based computation. Phys. Rev. Lett. 81: 2156-2159.

Somers, D.C., E.V. Todorov, A.G. Siapas et al. 1998. A local circuit approach to understanding integration of long-range inputs in primary visual cortex. Cereb. Cortex 8:204-217.

Spurzheim, G. 1824. The Anatomy ofthe Brain, with a General View ofthe Nervous System. London: S. Highley.

Stern, E. A., D. Jaeger, and C.J. Wilson. 1998. Membrane potential synchrony of simultaneously recorded striatal spiny neurons in vivo. Nature 394:475-478.

Swindale, N.V. 1981. Patches in monkey visual cortex. Nature 293:509-510.

Toledo-Rodriguez, M., B. Blumenfeld, C. Wu et al. 2004. Correlation maps allow neuronal electrical properties to be predicted from single-cell gene expression profiles in rat neocortex. Cereb. Cortex 14:1310-1327.

Trachtenberg, J.T., and M.P. Stryker. 2001. Rapid anatomical plasticity of horizontal connections in the developing visual cortex. J. Neurosci. 21:3476-3482.

Tsuchida, T., M. Ensini, S.B. Morton et al. 1994. Topographic organization of embryonic motor neurons defined by expression of LIM homeobox genes. Cell 79:957-970.

Vaadia, E., I. Haalman, M. Abeles et al. 1995. Dynamics of neuronal interactions in monkey cortex in relation to behavioural events. Nature 373:515-518.

von der Malsburg, C. 1981. The Correlation Theory of Brain Function. Tech. Rep. 81-2, Göttingen: Biophysical Chemistry, MPI.

Von Economo, C. 1929. The Cytoarchitectonics ofthe Human Cerebral Cortex. Oxford: Oxford Univ. Press.

White, E.L. 1989. Cortical Circuits: Synaptic Organization of the Cerebral Cortex. Boston: Birkhaüser.

Whittington, M.A., and R.D. Traub. 2003. Interneuron diversity series: Inhibitory interneurons and network oscillations in vitro. TINS 26:676-682.

Woolsey, T.A., and H. Van der Loos. 1970. The structural organization of layer IV in the somatosensory region S1 of mouse cerebral cortex. The description of a cortical field composed of discrete cytoarchitectural units. Brain Res. 17:205-242.

Yuste, R. 2005. Origin and classification of neocortical interneurons (short survey). Neuron 48:524-527.

Yuste, R., J.N. MacLean, J. Smith, and A. Lansner. 2005. The cortex as a central pattern generator. Nat. Rev. Neurosci. 6:477-483.

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