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Abbott, L. F. (1991).
Realistic synaptic inputs for model neural networks.
Network, 2:245-258.

Abbott, L. F. (1994).
Decoding neuronal firing and modeling neural networks.
Quart. Rev. Biophys., 27:291-331.

Abbott, L. F. (2000).
Synaptic plastictiy - taming the beast.
Nature Neurosci., 3:1178-1183.

Abbott, L. F. and Blum, K. I. (1996).
Functional significance of long-term potentiation for sequence learning and prediction.
Cereb. Cortex, 6:406-416.

Abbott, L. F., Fahri, E., and Gutmann, S. (1991).
The path integral for dendritic trees.
Biol. Cybern., 66:49-60.

Abbott, L. F. and Kepler, T. B. (1990).
Model neurons: from Hodgkin-Huxley to Hopfield.
In Garrido, L., editor, Statistical Mechanics of Neural Networks. Springer, Berlin.

Abbott, L. F. and van Vreeswijk, C. (1993).
Asynchronous states in a network of pulse-coupled oscillators.
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Abeles, M. (1982).
Local cortical circuits.
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Abeles, M. (1991).
Cambridge Univ. Press, Cambridge.

Abeles, M. (1994).
Firing rates and well-timed events.
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Abeles, M., Bergman, H., Margalit, E., and Vaadia, E. (1993).
Spatiotemporal firing patterns in the frontal cortex of behaving monkeys.
J. Neurophysiol., 70:1629-1638.

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The impulses produced by sensory nerve endings.
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Adrian, E. D. (1928).
The basis of sensation.
W. W. Norton, New York.

Aertsen, A. and Arndt, M. (1993).
Response synchronization in the visual cortex.
Curr. Opin. Neurobiol., 3:586-594.

Aizenman, C. D. and Linden, D. J. (1999).
Regulation of the rebound depolarization and spontaneous firing patterns of deep nuclear neurons in slices of rat cerebellum.
J. Neurophysiol., 82:1697-1709.

Amari, S. (1972).
Characteristics of random nets of analog neuron-like elements.
IEEE trans. syst. man cybern., 2:643-657.

Amari, S. (1974).
A method of statistical neurodynamics.
Kybernetik, 14:201-215.

Amari, S. (1977a).
Dynamics of pattern formation in lateral-inhibition type neural fields.
Biol. Cybern., 27:77-87.

Amari, S. I. (1977b).
Dynamics of pattern formation in lateral-inhibition type neural fields.
Biol. Cybern., 27:77-87.

Amit, D. J. and Brunel, N. (1997a).
Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex.
Cereb. Cortex, 7:237-252.

Amit, D. J. and Brunel, N. (1997b).
A model of spontaneous activity and local delay activity during delay periods in the cerebral cortex.
Cerebral Cortex, 7:237-252.

Anderson, J. A. and Rosenfeld, E., editors (1988).
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MIT-Press, Cambridge Mass.

Artola, A., Bröcher, S., and Singer, W. (1990).
Different voltage dependent thresholds for inducing long-term depression and long-term potentiation in slices of rat visual cortex.
Nature, 347:69-72.

Artola, A. and Singer, W. (1993).
Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation.
Trends Neurosci., 16(11):480-487.

Ash, R. (1990).
Information Theory.
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Bair, W. and Koch, C. (1996).
Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey.
Neural Comput., 8:1185-1202.

Bair, W., Koch, C., Newsome, W., and Britten, K. (1994).
Power spectrum analysis of MT neurons in the behaving monkey.
J. Neurosci., 14:2870-2892.

Bartlett, M. S. (1963).
The spectral analysis of point processes.
J. R. Statist. Soc. B, 25:264-296.

Bauer, H. U. and Pawelzik, K. (1993).
Alternating oscillatory and stochastic dynamics in a model for a neuronal assembly.
Physica D, 69:380-393.

Bell, C., Bodznick, D., Montgomery, J., and Bastian, J. (1997a).
The generation and subtraction of sensory expectations within cerebellar-like structures.
Brain. Beh. Evol., 50:17-31.
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Bell, C., Han, V., Sugawara, Y., and Grant, K. (1997b).
Synaptic plasticity in a cerebellum-like structure depends on temporal order.
Nature, 387:278-281.

Bell, C. C. and Kawasaki, T. (1972).
Relations among climbing fiber responses of nearby Purkinje cells.
J. Neurophysiol., 35:155-169.

Ben Arous, G. and Guionnet, A. (1995).
Large deviations for langevin spin glass dynamics.
Probability Theory and Related Fields, 102:455-509.

Ben-Yishai, R., Lev Bar-Or, R., and Sompolinsky, H. (1995).
Theory of orientation tuning in visual cortex.
Proc. Natl. Acad. Sci. USA, 92:3844-3848.

Berry, M. J. and Meister, M. (1998).
Refractoriness and neural precision.
J. Neurosci., 18:2200-2211.

Berry, M. J., Warland, D. K., and Meister, M. (1997).
The structure and precision of retinal spike trains.
Proc. Natl. Acad. Sci. USA, 94:5411-5416.

Bethge, M., Pawelzik, K., Rothenstein, R., and Tsodyks, M. (2001).
Noise as a signal for neuronal populations.
Phys. Rev. Lett., xx:xx.

Bi, G. and Poo, M. (1998).
Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type.
J. Neurosci., 18:10464-10472.

Bi, G. and Poo, M. (2001).
Synaptic modification of correlated activity: Hebb's postulate revisited.
Ann. Rev. Neurosci., 24:139-166.

Bi, G. Q. and Poo, M. M. (1999).
Distributed synaptic modification in neural networks induced by patterned stimulation.
Nature, 401:792-796.

Bialek, W. and Rieke, F. (1992).
Reliability and information transmission in spiking neurons.
Trends Neurosci., 15(11):428-433.

Bialek, W., Rieke, F., de Ruyter van Stevenick, R. R., and Warland, D. (1991).
Reading a neural code.
Science, 252:1854-1857.

Bienenstock, E. L., Cooper, L. N., and Munroe, P. W. (1982).
Theory of the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex.
J. Neurosci., 2:32-48.
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Billock, V. A. (1997).
Very short-term visual memory via reverberation: a role for the cortico-thalamic excitatory circuit in temporal filling-in during blinks and saccades?
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Bindman, L., Christofi, G., Murphy, K., and Nowicky, A. (1991).
Long-term potentiation (ltp) and depression (ltd) in the neocortex and hippocampus: an overview.
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Bliss, T. V. P. and Collingridge, G. L. (1993).
A synaptic model of memory: long-term potentiation in the hippocampus.
Nature, 361:31-39.

Bliss, T. V. P. and Gardner-Medwin, A. R. (1973).
Long-lasting potentation of synaptic transmission in the dendate area of unanaesthetized rabbit following stimulation of the perforant path.
J. Physiol., 232:357-374.

Bliss, T. V. P. and Lomo, T. (1973).
Long-lasting potentation of synaptic transmission in the dendate area of anaesthetized rabbit following stimulation of the perforant path.
J. Physiol., 232:551-356.

Bose, A., Kopell, N., and Terman, D. (2000).
Almost-synchronous solutions for mutually coupled excitatory neurons.
Physica D, 140:69-94.

Bower, J. M. and Beeman, D. (1995).
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Bressloff, P. C. (1999).
Synaptically generated wave propagation in excitable neural media.
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Bressloff, P. C. and Taylor, J. G. (1994).
Dynamics of compartmental model neurons.
Neural Networks, 7:1153-1165.

Brillinger, D. R. (1988).
Maximum likelihood analysis of spike trains of interacting nerve cells.
Biol. Cybern., 59:189-200.

Brillinger, D. R. (1992).
Nerve cell spike train data analysis: a progressiion of thechniques.
J. Am. Statist. Assoc., 87:260-271.

Brillinger, D. R. and Segundo, J. P. (1979).
Empirical examination of the threshold model of neuronal firing.
Biol. Cybern., 35:213-220.

Brown, J., Bullock, D., and Grossberg, S. (1999).
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Brown, T. H., Ganong, A. H., Kairiss, E. W., Keenan, C. L., and Kelso, S. R. (1989).
Long-term potentiation in two synaptic systems of the hippocampal brain slice.
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Brown, T. H., Zador, A. M., Mainen, Z. F., and Claiborne, B. J. (1991).
Hebbian modifications in hippocampal neurons.
In Baudry, M. and Davis, J. L., editors, Long-term potentiation., pages 357-389. MIT Press, Cambridge, London.

Brunel, N. (2000).
Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
J. Comput. Neurosci., 8:183-208.

Brunel, N., Chance, F., Fourcaud, N., and Abbott, L. F. (2001).
Effects of synaptic noise and filtering on the frequency response of spiking neurons.
Phys. Rev. Lett., 86:2186-2189.

Brunel, N. and Hakim, V. (1999).
Fast global oscillations in networks of integrate-and-fire neurons with low firing rates.
Neural Comput., 11:1621-1671.

Bryant, H. L. and Segundo, J. P. (1976).
Spike initiation by transmembrane current: a white-noise analysis.
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Buck, J. and Buck, E. (1976).
Synchronous fireflies.
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Bugmann, G., Christodoulou, C., and Taylor, J. G. (1997).
Role of temporal integration and fluctuation detection in the highly irregular firing of leaky integrator neuron model with partial reset.
Neural Comput., 9:985-1000.

Burkitt, A. N. and Clark, G. M. (1999).
Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output.
Neural Comput., 11:871-901.

Byrne, J. H. and Berry, W. O. (1989).
Neural Models of Plasticity.
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Calvin, W. and Stevens, C. F. (1968).
Synaptic noise and other sources of randomness in motoneuron interspike intervals.
J. Neurophysiol., 31:574-587.

Capocelli, R. M. and Ricciardi, L. M. (1971).
Diffusion approximation and first passage time problem for a neuron model.
Kybernetik, 8:214-223.

Carpenter, G. and Grossberg, S. (1987).
Art 2: Self-organization of stable category recognition codes for analog input patterns.
Appl. Optics, 26:4919-4930.

Carr, C. E. (1993).
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Carr, C. E. (1995).
The development of nucleus laminaris in the barn owl.
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Carr, C. E. and Konishi, M. (1988).
Axonal delay lines for measurement in the owl's brainstem.
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Carr, C. E. and Konishi, M. (1990).
A circuit for detection of interaural time differences in the brain stem of the barn owl.
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Cessac, B., Doyon, B., Quoy, M., and Samuelides, M. (1994).
Mean-field equations, bifurcation map and route to chaos in discrete time neural networks.
Physica D, 74:24-44.

Chow, C. C. (1998).
Phase-locking in weakly heterogeneous neuronal networks.
Physica D, 118:343-370.

Chow, C. C. and Kopell, N. (2000).
Dynamics of spiking neurons with electrical coupling.
Neural Comput., 12:1643-1678.

Chow, C. C. and White, J. (1996).
Spontaneous action potential fluctuations due to channel fluctuations.
Bioph. J., 71:3013-3021.

Collingridge, G. L., Kehl, S. J., and McLennan, H. (1983).
Excitatory amino acids in synaptic transmission in the schaffer collateral-commissural pathway of the rat hippocampus.
J. Physiol., 334:33-46.

Collins, J. J., Chow, C. C., Capela, A. C., and Imhoff, T. T. (1996).
Aperiodic stochastic resonance.
Phys. Rev. E, 54:5575-5584.

Connor, J. A., Walter, D., and McKown, R. (1977).
Neural repetitive firing - modifications of the hodgkin-huxley axon suggested by experimental results from crustacean axons.
Biophys. J., 18:81-102.

Connors, B. W. and Gutnick, M. J. (1990).
Intrinsic firing patterns of diverse cortical neurons.
Trends Neurosci., 13:99-104.

Cordo, P., Inglis, J. T., Verschueren, S., andD. M. Merfeld, J. J. C., and Rosenblum, S. (1996).
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Crepel, F. (1982).
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Trends Neurosci., 5:266-269.

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Phys. Rev. A, 37:4865-4874.

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Trends Neurosci., 21:401-407.

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IEEE Trans. Biomed. Eng., 15:169-179.

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Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences.
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de Ruyter van Steveninck, R. R., Lowen, G. D., Strong, S. P., Koberle, R., and Bialek, W. (1997).
Reproducibility and variability in neural spike trains.
Science, 275:1805.

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Trends Neurosci., 21:391-400.

DeAngelis, G. C., Ohzwaw, I., and Freeman, R. D. (1995).
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Trends Neurosci., 18:451-458.

Debanne, D., Gähwiler, B. H., and Thompson, S. M. (1994).
Asynchronous pre- and postsynaptic activity induces associative long-term depression in area CA1 of the rat Hippocampus in vitro.
Proc. Natl. Acad. Sci. USA, 91:1148-1152.

Debanne, D., Gähwiler, B. H., and Thompson, S. M. (1998).
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J. Physiol., 507:237-247.

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Nature, 381:610-613.

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J. Neurophysiol., 81:1531-1547.

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Biol. Cybern., 69:37-55.

Eckhorn, R., Reitboeck, H. J., Arndt, M., and Dicke, P. (1990).
Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex.
Neural Comput., 2:293-307.

Edwards, B. E. and Wakefield, G. H. (1993).
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J. Acoust. Soc. Am., 93:3553-3564.

Egger, V., Feldmeyer, D., and Sakmann, B. (1999).
Coincidence detection and changes of synaptic efficacy in spiny stellate neurons in barrel cortex.
Nature Neurosci., 2:1098-1105.

Eggert, J. and van Hemmen, J. L. (2001).
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Engel, A. K., König, P., and Singer, W. (1991b).
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Ermentrout, G. B., Pascal, M., and Gutkin, B. (2001).
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Neuronal populations coding of movement direction.
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Gerstner, W. (1998).
Spiking neurons.
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Gerstner, W. (2000a).
Population dynamics of spiking neurons: fast transients, asynchronous states and locking.
Neural Comput., 12:43-89.

Gerstner, W. (2000b).
Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.
Neural Comput., 12:43-89.

Gerstner, W. and Abbott, L. F. (1997).
Learning navigational maps through potentiation and modulation of hippocampal place cells.
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Gerstner, W., Kempter, R., and van Hemmen, J. L. (1998).
Hebbian learning of pulse timing in the barn owl auditory system.
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A neuronal learning rule for sub-millisecond temporal coding.
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Gerstner, W., Ritz, R., and van Hemmen, J. L. (1993a).
A biologically motivated and analytically soluble model of collective oscillations in the cortex: I. theory of weak locking.
Biol. Cybern., 68:363-374.

Gerstner, W., Ritz, R., and van Hemmen, J. L. (1993b).
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.
Biol. Cybern., 69:503-515.

Gerstner, W. and van Hemmen, J. L. (1992).
Associative memory in a network of `spiking' neurons.
Network, 3:139-164.

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Gerstner and Kistler
Spiking Neuron Models. Single Neurons, Populations, Plasticity
Cambridge University Press, 2002

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