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Decoding neuronal firing and modelling neural networks

  • L. F. Abbott (a1)


Biological neural networks are large systems of complex elements interacting through a complex array of connexions. Individual neurons express a large number of active conductances (Connors et al. 1982; Adams & Gavin, 1986; Llinás, 1988; McCormick, 1990; Hille, 1992) and exhibit a wide variety of dynamic behaviours on time scales ranging from milliseconds to many minutes (Llinás, 1988; Harris-Warrick & Marder, 1991; Churchland & Sejnowski, 1992; Turrigiano et al. 1994).



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Abbott, L. F. (1990). Learning in neural network memories. Network: Comp. Neural Syst. 1, 105122.
Abbott, L. F. (1991 a). Firing-rate models for neural populations. In Neural Networks: From Biology to High-energy Physics (ed. Benhar, O., Bosio, C., Del Giudice, P. and Tabet, E.), pp. 179196. Pisa: ETS Editrice.
Abbott, L. F. (1991 b). Realistic synaptic inputs for network models. Network: Comp. Neural Syst. 2, 245258.
Abbott, L. F. (1992). Simple diagrammatic rules for solving dendritic cable problems. Physica A 185, 343356.
Abbott, L. F. & Blum, K. I. (1994). Functional significance of long-term potentiation between hippocampal place cells. (Submitted.)
Adams, P. R. & Gavin, M. (1986). Voltage-dependent currents of vertebrate neurons and their role in membrane excitability. Adv. Neurol. 44, 37170.
Altes, R. A. (1989). Ubiquity of hyperacuity. J. acoust. Soc. Am. 85, 943952.
Amit, D. J. (1989). Modelling Brain Function. New York: Cambridge University Press.
Amit, D. J. & Tsodyks, M. V. (1991 a). Quantitative study of attractor neural network retrieving at low spike rates I and II. Network 2, 259294 and Effective neurons and attractor neural networks in cortical environment. Network 3, 121–138.
Amit, D. J. & Tsodyks, M. V. (1991 b). Effective neurons and attractor neural networks in cortical environment. Network 3, 121138.
Artola, A. & Singer, W. (1993). Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation. Trends Neurosci. 16, 480487.
Avoli, M. (1986). Inhibitory potentials in neurons of the deep layers of the in vitro neocortical slice. Brain Res. 370, 165170.
Bacon, J. P. & Murphey, R. K. (1984). Receptive fields of cricket (Acheta domesticus) interneurons are related to their dendritic structure. J. Physiol. Lond. 272, 779797.
Baldi, P. & Heiligenberg, W. (1988). How sensory maps could enhance resolution through ordered arrangements of broadly tuned receivers. Biol. Cybern. 59, 313318.
Baudry, M. & Davis, J. L., eds. (1991). Long-Term Potentiation. Cambridge MA: MIT Press.
Bernander, O., Douglas, R. J., Martin, K. A. C. & Koch, C. (1991). Synaptic background activity determines spatio-temporal integration in single pyramidal cells. Proc. natn. Acad. Sci. U.S.A. 88, 1156911573.
Bialek, W. (1989). Theoretical physics meets experimental neurobiology. In Lectures in Complex Systems, SFI Studies in the Science of Complexity (ed. Jen, E.), vol. 2, pp. 413595. Redwood City CA: Addison-Wesley.
Bialek, W.Rieke, F., De Ruyter Van Steveninck, R. R. & Warland, D. (1991). Reading a neural code. Science, N.Y. 252, 18541857.
Bienenstock, E. L., Cooper, L. N. & Munro, P. W. (1982). Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J. Neurosci. 2, 3248.
Bliss, T. V. P. & Collingridge, G. L. (1993). A synaptic model of memory: long-term potentiation in the hippocampus. Nature, Lond. 361, 3139.
Bortolotto, Z. A., Bahir, Z. I., Davies, C. H. & Collingridge, G. L. (1994). A molecular switch activated by metabotropic glutamate receptors regulates induction of long-term potentiation. Nature, Lond. 368, 740743.
Buhmann, J. (1989). Oscillations and low firing rates in associative memory neural networks. Phys. Rev. A 40, 41454151.
Burnod, Y., Grandguillaume, P., Otto, I., Ferraina, S. & Johnson, P. B. & Camaniti, R. (1992). Visuomotor transformation underlying arm movements toward visual targets: A neural network model of cerebral cortical operations. J. Neurosci. 12, 14351452.
Butz, E. G. & Cowan, J. D. (1974). Transient potentials in dendritic systems of arbitrary geometry. Biophys. J. 14, 661689.
Byrne, J. H. & Berry, W. O. (1989). Neural Models of Plasticity. San Diego: Academic Press.
Camhi, J. M. & Levy, A. (1989). The code for stimulus direction in a cell assembly in the cockroach. J. comp. Physiol. A 165, 8397.
Caminiti, R., Johnson, P. B., Galli, C., Ferraina, S. & Burnod, Y. (1991). Making arm movements within different parts of space: The premotor and motor cortical representations of a coordinate system for reaching to visual targets. J. Neurosci. 11, 11821197.
Chen, L. L., McNaughton, B. L., Barnes, C. A. & Ortiz, E. R. (1990). Headdirectional and behavioral correlates of posterior cingulate and medial prestriate cortex neurons in freely-moving rats. Soc. Neurosci. Abst. 16, 441.
Churchland, P. S. & Sejnowski, T. J. (1992). The Computational Brain. Cambridge MA: MIT Press.
Connors, B. W., Gutnick, J. M. & Prince, D. A. (1982). Electrophysiological properties of neocortical neurons in vitro. J. Neurophysiol. 48, 13021320.
Connors, B. W., Malenka, R. C. & Silva, L. R. (1988). Two inhibitory postsynaptic potentials and GABAA and GABAB receptor-mediated responses in neocortex of rat and cat. J. Physiol., Lond. 406, 443468.
Debanne, D., Gahwiler, B. H. & Thompson, S. M. (1994). Asynchronous pre- and postsynaptic activity induces associative long-term depression in area CAi of the rat hippocampus in vitro. Proc. natn. Acad. Sci. U.S.A. 91, 11481152.
Dichter, M. A. & Ayala, G. F. (1987). Cellular mechanisms of epilepsy: a status report. Science, N. Y. 237, 157164.
Douglas, R. J. & Martin, K. A. C. (1991). A functional microcircuit for cat visual cortex. J. Physiol., Lond. 440, 735769.
Douglas, R. J., Martin, K. A. C. & Whitteridge, D. (1989). A canonical microcircuit for neocortex. Neural Comp. 1, 480488.
Eichenbaum, H. (1993). Thinking about brain cell assemblies. Science, N.Y. 261, 993994.
Ermentrout, G. B. (1994). Reduction of Conductance Models with Slow Synapses to Neural Nets. Neural Comp. (In the press.)
Foldiak, P. (1991). Models of sensory coding, Ph.D. thesis. Cambridge University.
Foldiak, P. (1993). The ‘ideal homunculus’: statistical inference from neural population responses. In Computation and Neural Systems(ed. Eeckman, F. H. and Bower, J.), pp. 5560. Norwell MA: Kluwer Academic Publishers.
Fortier, P. A., Kalaska, J. F. & Smith, A. M. (1989). Cerebellar neuronal activity related to whole-arm reaching movements in the monkey. J. Neurophysiol. 62, 198211.
Frolov, A. A. & Medvedev, A. V. (1986). Substantiation of the ‘point approximation’ for describing the total electrical activity of the brain with the use of a simulation model. Biophysics 31, 332335.
Georgopoulos, A. P., Kettner, R. E. & Schwartz, A. (1988). Primate motor cortex and free arm movements to visual targets in three-dimensional space. II. Coding of the direction of movement by a neuronal population. Neuroscience 8, 29282937.
Georgopoulos, A. P., Schwartz, A. & Kettner, R. E. (1986). Neuronal population coding of movement direction. Science, N.Y. 233, 14161419.
Georgopoulos, A. P., Taira, M. & Lukashin, A. (1993). Cognitive neurophysiology of the motor cortex. Science, N. Y. 260, 4752.
Gilbert, C. D. & Wiesel, T. N. (1990). the influence of contextual stimuli on the orientation selectivity of cells in primary visual vortex of the cat. Vision Res. 30, 16891701.
Gluck, M. A. & Rumelhart, D. E. (1990). Neuroscience and Connectionist Theory. Hillsdale NJ: Lawrence Erlbaum.
Grossberg, S. (1988). Nonlinear neural networks: principles, mechanisms and architectures. Neural Networks 1, 1761.
Gozani, S. N. & Miller, J. P. (1994). Ensemble coding of information by eight primary sensory interneurons in the cricket cereal system I and II. (Submitted.)
Gustafsson, B. & Wigstrom, H. (1981). Shape of frequency-current curves in CA1 pyramidal cells in the hippocampus. Brain Res. 223, 417421.
Gustafsson, B. & Wigstrom, H. (1988). Physiological mechanisms underlying longterm potentiation. Trends Neurosci. 11, 156162.
Gustafsson, B. & Wigstrom, H., Abraham, W. C. & Huang, Y.-Y. (1987). Long-term potentiation in the hippocampus using depolarizing current pulses as the conditioning stimulus to single volley synaptic potentials. J. Neurosci. 7, 774780.
Harris-Warrick, R. M. & Marder, E. (1991). Modulation of neural networks for behavior. Ann. Rev. Neurosci. 14, 3957.
Hawkins, R. D., Kandel, E. R. & Siegelbaum, S. A. (1993). Learning to modulate transmitter release: Themes and variations in synaptic plasticity. Ann. Rev. Neurosci. 16, 625665.
Hebb, D. O. (1949). The Organization of Behavior: A Neuropsychological Theory. New York: Wiley.
Hertz, J., Krough, A. & Palmer, R. G. (1990). Introduction to the Theory of Neural Computation. New York: Addison-Wesley.
Hessler, N. A., Shirke, A. M. & Malinow, R. (1993). The probability of transmitter release at a mammalian central synapse. Nature, Lond. 366, 569572.
Hille, B. (1992). Ionic Channels of Excitable Membranes. Sunderland, MA: Sinauer Assoc.
Hopfield, J. J. (1982). Neural networks and systems with emergent selective computational abilities. Proc. natn. Acad. Sci. U.S.A. 79, 25542558.
Hopfield, J. J. (1984). Neurons with graded response have collective computational properties like those of two-state neurons. Proc. natn. Acad. Sci. U.S.A. 81, 30883092.
Jack, J. J. B., Noble, D. & Tsien, R. W. (1974). Electrical Current Flow in Excitable Cells. Oxford: Oxford University Press.
Jagadeesh, B., Wheat, H. S. & Ferster, D. (1993). Linearity of summation of synaptic potentials underlying direction selectivity in simple cells of the cat visual cortex. Science, N.Y. 262, 19011904.
Jahr, C. E. & Stevens, C. F. (1990). A quantitative description of NMDA receptor channel kinetic behavior. J. Neurosci. 10, 18301837.
Kalaska, J. F., Caminiti, R. & Georgopoulos, A. P. (1983). Cortical mechanisms related to the direction of two-dimensional arm movements: relations in parietal area 5 and comparison with motor cortex. Expl Brain Res. 51, 247260.
Knudsen, E., DuLac, S. & Esterly, S. D. (1987). Computational maps in the brain. Ann. Rev. Neurosci. 10, 4165.
Knudsen, E. & Konishi, M. (1978). A neural map of auditory space in the owl. Science, N. Y. 200, 795797.
Koch, C. & Poggio, T. (1985). A simple algorithm for solving the cable equation in dendritic trees of arbitrary geometry. J. Neurosci. Meth. 12, 303315.
Koch, C., Poggio, T. & Torre, V. (1983). Nonlinear interactions in a dendritic tree: localization, timing and role in information processing. Proc. natn. Acad. Sci. U.S.A. 80, 27992802.
Kohonen, T. (1984). Self Organization and Associative Memory. Berlin: Springer Verlag.
Kohonen, T. (1988). An introduction to neural computing. Neural Networks 1, 316.
Konishi, M. (1987). Centrally synthesized maps of sensory space. Trends Neurosci. 9, 163168.
Konishi, M. (1991). Deciphering the brain's codes. Neural Comp. 3, 118.
Lanthorn, T., Storm, J. & Andersen, P. (1984). Current-to-frequency transduction in CA1 hippocampal pyramidal cells: Slow prepotentials dominate the primary firing range. Expl Brain Res. 53, 431443.
Lee, C., Rohrer, W. H. & Sparks, D. L. (1988). Population coding of saccadic eye movements by neurons in the superior colliculus. Nature, Lond. 332, 357360.
Lehky, S. R. & Sejnowski, T. J. (1990). Neural model of stereoacuity and depth interpolation based on a distributed representation of stereo disparity. J. Neurosci. 10, 22812299.
Levy, W. B. (1989). A computational approach to hippocampal function. In Computational Models of Learning in Simple Neural Systems. (ed. Hawkins, R. D. and Bower, G. H.), pp. 243305. N.Y.: Academic Press.
Levy, W. B., Colbert, C. M. & Desmond, N. L. (1990). Elemental adaptive processes of neurons and synapses: a statistical/computational perspective. In Neuroscience and Connectionist Theory (ed. Gluck, M. A. and Rumelhart, D. E.), pp. 187236. New York: Lawrence Erlbaum, Hillsboro.
Levy, W. B. & Steward, D. (1983). Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus. Neurosci. 8, 791797.
Linkser, R. (1986). From basic network principles to neural architecture. Proc. natn. Acad. Sci. U.S.A. 83, 75087512, 8390–8394 and 8770–8783.
Linsker, R. (1988). Self-organization in a perceptual network. Computer 21, 105117.
Linsker, R. (1993). Local synaptic learning rules suffice to maximize mutual information in a linear network. Neural Comp. 4, 691702.
Lisman, J. E. (1989). A mechanism for the Hebb and the anti-Hebb processes underlying learning and memory. Proc. natn. Acad. Sci. U.S.A. 86, 95749578.
Lisman, J. E. & Goldring, M. A. (1988). Feasibility of long-term storage of graded information by the Ca2+/calmodulin-dependent protein kinase molecules of the postsynaptic density. Proc. natn. Acad. Sci. U.S.A. 85, 53205324.
Llinás, R. R. (1988). Intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function. Science, N. Y. 242, 16541664.
Lukashin, A. V. (1990). A learned neural network that simulates properties of the neural population vector. Biol. Cybern. 63, 377382.
Lynch, G., Larson, J., Kelson, S., Barrionuevo, G. & Schottler, F. (1983). Intracellular injections of EGTA block induction of hippocampal long-term potentiation. Nature, Lond. 305, 719721.
Madison, D. V., Malenka, R. C. & Nicoll, R. A. (1991). Mechanisms underlying long-term potentiation of synaptic transmission. Ann. Rev. Neurosci. 124, 379397.
Malenka, R. C. & Nicoll, R. A. (1993). MBDA-receptor-dependent synaptic plasticity: Multiple forms and mechanisms. Trends Neurosci. 16, 521527.
Malsburg, C. v. D. (1971). Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14, 85100.
Malsburg, C. V. D. (1979). Development of ocularity domains and growth behavior of axon terminals. Biol. Cybern. 32, 4962.
Marr, D. (1971). Simple memory: A theory for archicortex. Phil. Trans. R. Soc. Lond. B 262, 2181.
Maunsell, J. H. R. & Newsome, W. T. (1987). Visual processing in monkey extrastriate cortex. Ann. Rev. Neurosci. 10, 363.
McCormick, D. A. (1990). Membrane properties and neurotransmitter actions. In The Synaptic Organization of the Brain (ed. Shepherd, G. M.), pp. 3266. New York: Oxford University Press.
McCulloch, W. S. & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5, 115133.
MacKay, D. J. C. & Miller, K. D. (1990). Analysis of Linsker's application of Hebian rules to linear networks. Network 1, 257299.
Middlebrooks, J. C., Clock, A. E., Xu, L. & Green, D. M. (1994). A panoramic code for sound location by cortical neurons. Science, N. Y. 264, 842844.
Miles, R. & Wong, R. K. S. (1987). Inhibitory control of local excitatory circuits in the guinea-pig hippocampus. J. Physiol. Lond. 388, 611629.
Miller, J. P., Jacobs, G. A. & Theunissen, F. (1991). Representation of sensory information in the cricket cereal sensory system. I. Response properties of the primary interneurons. J. Neurophysiol. 66, 16801689.
Miller, K. D. (1990). Correlation-based models of neural development. In Neuroscience and Connectionist Theory (ed. Gluck, M. A. and Rumelhart, D. E.), pp. 267354. New York: Lawrence Erlbaum, Hillsdale.
Miller, K. D. (1992). Models of activity-dependent neural development. Seminars in Neurosci. 4, 6173.
Miller, K. D. (1994). A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between on- and off-center inputs. J. Neurosci. 14, 409441.
Miller, K. D. & MacKay, D. J. C. (1994). The role of constraints in Hebbian learning. Neural Comp. 6, 100126.
Morris, R. G. M., Anderson, E., Lunch, G. S. & Baudry, M. (1986). Selective impairment of learning and blockade of long-term potentiation by an N-methyl-D-aspartate receptor antagonist, AP5. Nature, Lond. 319, 774776.
Oja, E. (1982). A simplified neuron model as a principal component analyzer. J. Math. Biol. 15, 267273.
O'Keefe, J. (1979). A review of the hippocampal place cells. Prog. Neurobiol. 13, 419439.
O'Keefe, J. & Dostovsky, J. (1971). The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely moving rat. Brain Res. 34, 171175.
O'Keefe, J. & Nadel, L. (1978). The Hippocampus as a Cognitive Map. Oxford: Clarendon.
O'Neill, W. E. & Suga, N. (1982). Encoding of target range information and its representation in the auditory cortex of the mustache bat. J. Neurosci. 2, 1731.
Optican, L. M. & Richmond, B. J. (1987). Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis. J. Neurophysiol. 57, 163178.
Orban, G. A. (1984). Neuronal Operations in the Visual Cortex. Berlin: Springer.
Paradiso, M. A. (1988). A theory for the use of visual orientation information which exploits the columnar structure of striate cortex. Biol. Cybern. 58, 3549.
Rall, W. (1962). Theory of physiological properties of dendrites. Ann. N. Y. Acad. Sci. 96, 10711092.
Rall, W. (1964). Theoretical significance of dendritic trees for neuronal input-output relations. In Neural Theory and Modeling (ed. Reiss, R.), pp. 7397. Stanford CA: Stanford University Press.
Rall, W. (1977). Core conductor theory and cable properties of neurons. In Handbook of Physiology, vol. 1 (ed. Kandel, E. R.), pp. 3997. Amer. Physiol. Soc, Bethesda.
Rapp, M., Yarom, Y. & Segev, I. (1992). The impact of parallel background activity on the cable properties of cerebellar Purkinje cells. Neural. Comp. 4, 518533.
Reike, F. M. (1991). Physical Principles Underlying Sensory Processing and Computation. Ph.D. thesis. University of California Berkeley.
Rinzel, J. & Ermentrout, G. G. (1989). Analysis of neural excitability and oscillations. In Methods in Neuronal Modeling (ed. Koch, C. and Segev, I.). Cambridge MA: MIT Press.
Rolls, E. T. (1989). Parallel distributed processing in the brain: Implications of the functional architecture of neuronal networks in the hippocampus. In Parallel Distributed Processing: Implications for Psychology and Neuroscience (ed. Morris, R. G. M.), pp. 286308. Oxford: Oxford University Press.
Rosenmund, C., Clements, J. D. & Westbrook, G. L. (1993). Nonuniform probability of glutamate release at a hippocampal synapse. Science, N. Y. 262, 754758.
Salinas, E. & Abbott, L. F. (1994). Vector reconstruction from firing rates. J. Comp. Neurosci. 1, 89107.
Salzman, C. D. & Newsome, W. T. (1994). Neural mechanisms for forming a perceptual decision. Science, N. Y. 264, 231237.
Schwartz, A., Kettner, R. E. & Georgopoulos, A. P. (1988). Primate motor cortex and free arm movements to visual targets in three-dimensional space. I. Relations between single cell discharge and direction of movement. Neurosci. 8, 29132927.
Segev, I. & Parnas, I. (1989). Synaptic integration mechanisms: a theoretical and experimental investigation of temporal postsynaptic interaction between excitatory and inhibitory input. Biophys. J. 41, 4150.
Sejnowski, T. J. (1977). Storing covariance with nonlinearly interacting neurons. J. Math. Biol. 4, 303321.
Sejnowski, T. J. (1988). Neural populations revealed. Nature, Lond. 332, 308.
Seung, H. S. & Sompolinsky, H. (1993). Simple models for reading neuronal population codes. Proc. natn. Acad. Sci. U.S.A. 90, 1074910753.
Shatz, J. C. (1990). Impulse activity and the patterning of connections during CNS development. Neuron 5, 745756.
Shor, R. H., Miller, A. D. & Tomko, D. L. (1984). Responses to head tilt in cat central vestibular neurons. I. Direction of maximum sensitivity. J. Neurophysiol. 51, 136146.
Smetters, D. K. & Nelson, S. B. (1993). Estimates of functional synaptic convergence in rat and cat visual cortical neurons. Neurosci. Abstr. 16, 263.
Snippe, H. P. & Koenderink, J. J. (1992). Discrimination thresholds for channel-coded systems. Biol. Cybern. 66, 543551.
Steinmetz, M. A., Motter, B.C., Duffy, C. J. & Mountcastle, V. B. (1987). Functional properties of parietal visual neurons: Radial organization of directionalities with the visual field. J. Neurosci. 7, 177191.
Stevens, C. F. (1989). How cortical interconnectedness varies with network size. Neural Comp. 1, 473479.
Suzuki, I., Timerick, J. B. & Wilson, V. J. (1985). Body position with respect to the head or body position in space is coded in lumbar interneurons. J. Neurophysiol. 54, 123133.
Swindale, N. V. (1980). A model for the formation of ocular dominance stripes. Proc. R. Soc. Lond. B 208, 243264.
Taube, J. S., Muller, R. I. & Ranck, J. B. J. (1990). Head direction cells recorded from the postsubicullum in freely moving rats. I. Description and quantitative analysis. J. Neurosci. 10, 420435.
Theunissen, F. (1993). An Investigation of Sensory Coding Principles Using Advanced Statistical Techniques. Berkeley Ph.D. thesis. University of California.
Theunissen, F. & Miller, J. P. (1991). Representation of sensory information in the cricket cereal sensory system. II. Information theoretic calculation of system accuracy and optimal tuning-curve widths of four primary interneurons. J. Neurophysiol. 66, 16901703.
Touretzky, D. S., Redish, A. D. & Wan, H. S. (1993). Neural representation of space using sinusoidal arrays. Neural Comp. 5, 869884.
Tuckwell, H. C. (1988). Introduction to Theoretical Neurobiology. Cambridge: Cambridge University Press.
Turrigiano, G., Abbott, L. F. & Marder, E. (1994). Activity-dependent changes in the intrinsic properties of cultured neurons. Science, N. Y. 264, 974977.
Van Gisbergen, J. A. M., Van Opstal, A. J. & Tax, A. M. M. (1987). Collicular ensemble coding of saccades based on vector summation. Neuroscience 21, 541555.
Van Opstal, A. J. & Kappen, H. (1993). A two-dimensional ensemble coding model for spatial-temporal transformation of saccades in monkey superior colliculus. Network 4, 1938.
Vogels, R. (1990). Population coding of stimulus orientation by cortical cells. J. Neurosci. 10, 35433558.
Warland, D., Landolfa, M. A., Miller, J. P. & Bialek, W. (1991). Reading between the spikes in the cereal filiform hair receptors of the cricket. In Analysis and Modeling of Neural Systems (ed. Eeckman, F. and Bower, J.). Norwell, MA: Kluwer Academic Publishers.
Wilson, H. R. & Cowan, J. D. (1972). Excitatory and inhibitory interactions. in localized populations of model neurons. Biophys. J. 12, 124.
Wilson, H. R. & Cowan, J. D. (1973). A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybern. 13, 5580.
Wilson, M. A. & McNaughton, B. (1993). Dynamics of the hippocampal ensemble code for space. Science, N.Y. 261, 10551058.
Young, M. P. & Yamane, S. (1992). Sparse population coding of faces in the inferotemporal cortex. Science, N. Y. 256, 13271331.
Zhang, J. & Miller, J. P. (1991). A mathematical model for resolution enhancement in layered sensory systems. Biol. Cybern. 64, 357364.
Zohary, E. (1992). Population coding of visual stimuli by cortical neurons tuned to more than one dimension. Biol. Cybern. 66, 265272.


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