Publications that have used NEURON

Please help us keep this list complete and accurate by addressing questions, corrections, additions, or comments to ted.carnevale@yale.edu
Almost every one of these papers cites a "primary" article about NEURON. For the very few that did not, we have been informed by the author(s) that NEURON was actually used in the work even though it was not cited.
If you know of a paper that should be in this list, tell us and we'll be glad to add it. And if you are looking for papers that pertain to NEURON itself, some "primary" citations have been appended to the end of this list.

Last updated on April 12, 1999


Ahmed, B., Anderson, J.C., Douglas, R.J., Martin, K.A.C., and Whitteridge, D. Estimates of the net excitatory currents evoked by visual stimulation of identified neurons in cat visual cortex. Cerebral Cortex 8:462-476, 1998.

Aradi, I. and Erdi, P. Multicompartmental modeling of neural circuits in the olfactory bulb. International Journal of Neural Systems 7:519-527, 1996.

Aradi, I. and Erdi, P. Simulation of the whole olfactory bulb based on detailed single cell models. Neurobiology 4:251-252, 1996.

Aradi, I. and Erdi, P. Signal generation and propagation in the olfactory bulb: multicompartmental modeling. Computers and Mathematics with Applications 32:1-27, 1996.

Aradi, I. and Erdi, P. Multicompartmental modeling of the olfactory bulb. Cybernetics and Systems 27:605-615, 1996.

Baccus, S.A. Synaptic facilitation by reflected action potentials: enhancement of transmission when nerve impulses reverse direction at axon branch points. Proceedings of the National Academy of Sciences 95:8345-8350, 1998.

Bekkers, J.M. and Stevens, C.F. Cable properties of cultured hippocampal neurons determined from sucrose-evoked miniature EPSCs. Journal of Neurophysiology 75:1250-1255, 1996.

Bell, A., Mainen, Z.F., and Sejnowski, T.J. Balancing of conductances may explain irregularity of cortical spiking. Proceedings of the Joint Symposium on Neural Computation, University of California, San Diego and California Institute of Technology 4:1-5, 1994.

Bell, A., Mainen, Z.F., and Sejnowski, T.J. "Balancing" of conductances may explain irregularity of cortical spiking. In: Technical Report 9502. La Jolla, CA: Institute for Neural Computation, 1995.

Bernander, O., Douglas, R.J., Martin, K.A.C., and Koch, C. Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proceedings of the National Academy of Sciences 88:11569-11573, 1991.

Bernasconi, C.A., Schindler, K.A., and al., e. Complex response to periodic inhibition in simple and detailed neuronal models. Neural Computation 11:67-74, 1999.

Blair, H.T. A thalamocortical circuit for computing directional heading in the rat. In: Advances in Neural Information Processing Systems, vol. 8, edited by D.S. Touretzky, M.C. Mozer, and M.E. Hasselmo. Cambridge, MA: MIT Press, 1996, p. 152-158.

Brown, T.H., Mainen, Z.F., Zador, A.M., and Claiborne, B.J. Self-organization of Hebbian synapses in hippocampal neurons. In: Advances in Neural Information Processing Systems, vol. 3, edited by R.P. Lippmann, J.E. Moody, and D.J. Touretzky. San Mateo, CA: Morgan Kaufmann, 1991, p. 39-45.

Brown, T.H., Zador, A.M., Mainen, Z.F., and Claiborne, B.J. Hebbian modifications in hippocampal neurons. In: Long-term potentiation: A debate of current issues, edited by J. Davis and M. Baudry. Cambridge, MA: MIT Press, 1991, p. 357-389.

Brown, T.H., Zador, A.M., Mainen, Z.F., and Claiborne, B.J. Hebbian computations in hippocampal dendrites and spines. In: Single Neuron Computation, edited by T. McKenna, J. Davis, and S.F. Zornetzer. San Diego: Academic Press, 1992, p. 81-116.

Bush, P.C. and Sejnowski, T.J. Reduced compartmental models of neocortical pyramidal cells. Journal of Neuroscience Methods 46:159-166, 1993.

Bush, P. and Sejnowski, T. Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models. Journal of Computational Neuroscience 3:91-110, 1996.

Bush, P. and Priebe, N. GABAergic inhibitory control of the transient and sustained components of orientation selectivity in a model microcolumn in layer 4 of cat visual cortex. Neural Computation 10:855-867, 1998.

Callaway, J.C., Lasser-Ross, N., Stuart, A.E., and Ross, W.N. Dynamics of intracellular free calcium-concentration in the presynaptic arbors of individual barnacle photoreceptors. Journal of Neuroscience 13:1157-1166, 1993.

Canavier, C.C. Sodium dynamics underlying burst firing and putative mechanisms for the regulation of the firing pattern in midbrain dopamine neurons: a computational approach. Journal of Computational Neuroscience 6:49-69, 1999.

Carbunaru, R. and Durand, D.M. Axonal stimulation under MRI magnetic field z gradients: a modeling study. Magnetic Resonance in Medicine 38:750-758, 1997.

Carnevale, N.T., Tsai, K.Y., Claiborne, B.J., and Brown, T.H. Qualitative electrotonic comparison of three classes of hippocampal neurons in the rat. In: The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, edited by J.M. Bower. Boston, MA: Kluwer, 1995, p. 67-72.

Carnevale, N.T., Tsai, K.Y., Claiborne, B.J., and Brown, T.H. The electrotonic transformation: a tool for relating neuronal form to function. In: Advances in Neural Information Processing Systems, vol. 7, edited by G. Tesauro, D.S. Touretzky, and T.K. Leen. Cambridge, MA: MIT Press, 1995, p. 69-76.

Carnevale, N.T., Tsai, K.Y., and Hines, M.L. The Electrotonic Workbench. Society for Neuroscience Abstracts 22:1741, 1996.

Carnevale, N.T., Tsai, K.Y., Claiborne, B.J., and Brown, T.H. Comparative electrotonic analysis of three classes of rat hippocampal neurons. Journal of Neurophysiology 78:703-720, 1997.

Cauller, L.J. and Connors, B.W. Functions of very distal dendrites: experimental and computational studies of layer I synapses on neocortical pyramidal cells. In: Single Neuron Computation, edited by T. McKenna, J. Davis, and S.F. Zornetzer. San Diego: Academic Press, 1992, p. 199-229.

Chimento, T.C., Doshay, D.G., and Ross, M.D. Compartmental modeling of rat macular primary afferents from 3-dimensional reconstructions of transmission electron-micrographs of serial sections. Journal of Neurophysiology 71:1883-1896, 1994.

Chitwood, R.A., Claiborne, B.J., and Jaffe, D.B. Modeling the passive properties of nonpyramidal neurons in hippocampal area CA3. In: Computational Neuroscience: Trends in Research, 1997, edited by J.M. Bower. New York: Plenum Press, 1997, p. 59-64.

Chow, C.C. and White, J.A. Spontaneous action potentials due to channel fluctuations. Biophysical Journal 71:3013-3021, 1996.

Claiborne, B.J., Zador, A.M., Mainen, Z.F., and Brown, T.H. Computational models of hippocampal neurons. In: Single Neuron Computation, edited by T. McKenna, J. Davis, and S.F. Zornetzer. San Diego: Academic Press, 1992, p. 61-79.

Contreras, D., Destexhe, A., and Steriade, M. Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo. Journal of Neurophysiology 78:335-350, 1997.

Cook, E.P. and Johnston, D. Active dendrites reduce location-dependent variability of synaptic input trains. Journal of Neurophysiology 78:2116-2128, 1997.

Cook, E.P. and Johnston, D. Voltage-dependent properties of dendrites that eliminate location-dependent variability of synaptic input. Journal of Neurophysiology 81:535-543, 1999.

Destexhe, A. and Babloyantz, A. A model of the inward current Ih and its possible role in thalamocortical oscillations. NeuroReport 4:223-226, 1993.

Destexhe, A., Babloyantz, A., and Sejnowski, T.J. Ionic mechanisms for intrinsic slow oscillations in thalamic relay neurons. Biophysical Journal 65:1538-1552, 1993.

Destexhe, A., McCormick, D.A., and Sejnowski, T.J. A model for 8-10 Hz spindling in interconnected thalamic relay and reticularis neurons. Biophysical Journal 65:2474-2478, 1993.

Destexhe, A., Contreras, D., Sejnowski, T.J., and Steriade, M. A model of spindle rhythmicity in the isolated thalamic reticular nucleus. Journal of Neurophysiology 72:803-818, 1994.

Destexhe, A., Contreras, D., Sejnowski, T.J., and Steriade, M. Modeling the control of reticular thalamic oscillations by neuromodulators. NeuroReport 5:2217-2220, 1994.

Destexhe, A., Mainen, Z.F., and Sejnowski, T.J. An efficient method for computing synaptic conductances based on a kinetic model of receptor binding. Neural Computation 6:14-18, 1994.

Destexhe, A., Mainen, Z.F., and Sejnowski, T.J. Synthesis of models for excitable membranes, synaptic transmission, and neuromodulation using a common kinetic formalism. Journal of Computational Neuroscience 1:195-231, 1994.

Destexhe, A. and Sejnowski, T.J. G-protein activation kinetics and spillover of [gamma]-aminobutyric acid may account for differences between inhibitory responses in the hippocampus and thalamus. Proceedings of the National Academy of Sciences 92:9515-9519, 1995.

Destexhe, A., Mainen, Z.F., and Sejnowski, T.J. Synaptic currents, neuromodulation and kinetic models. In: The Handbook of Brain Theory and Neural Networks, edited by M.A. Arbib. Cambridge, MA: MIT Press, 1995, p. 956-959.

Destexhe, A., Mainen, Z.F., and Sejnowski, T.J. Fast kinetic models for simulating AMPA, NMDA, GABA(A) and GABA(B) receptors. In: The Neurobiology of Computation, edited by J. Bower. Norwell, MA: Kluwer, 1995, p. 9-14.

Destexhe, A., Bal, T., McCormick, D.A., and Sejnowski, T.J. Ionic mechanisms underlying synchronized oscillations and propagating waves in a model of ferret thalamic slices. Journal of Neurophysiology 2049-2070, 1996.

Destexhe, A., Contreras, D., Steriade, M., Sejnowski, T.J., and Huguenard, J.R. In vivo, in vitro and computational analysis of dendritic calcium currents in thalamic reticular neurons. Journal of Neuroscience 16:169-185, 1996.

Destexhe, A., Contreras, D., Steriade, M., Sejnowski, T.J., and Huguenard, J. Computational models constrained by voltage-clamp data for investigating dendritic currents. In: Computational Neuroscience, edited by J. Bower. New York: Academic Press, 1996.

Destexhe, A. and Sejnowski, T.J. Synchronized oscillations in thalamic networks: insights from modeling studies. In: Thalamus, vol. 2, edited by M. Steriade, E.G. Jones, and D.A. McCormick. Amsterdam: Elsevier, 1997, p. 331-371.

Destexhe, A. Conductance-based integrate-and-fire models. Neural Computation 9:503-514, 1997.

Destexhe, A., Neubig, M., Ulrich, D., and Huguenard, J. Dendritic low-threshold calcium currents in thalamic relay cells. Journal of Neuroscience 18: 3574-3588, 1998.

Destexhe, A., Contreras, D., and Steriade, M. Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells. Journal of Neurophysiology 79:999-1016, 1998.

Destexhe, A., Mainen, Z.F., and Sejnowski, T.J. Kinetic models of synaptic transmission. In: Methods in Neuronal Modeling, edited by C. Koch and I. Segev. Cambridge, MA: MIT Press, 1998, p. 1-25.

Destexhe, A. Spike-and-wave oscillations based on the properties of GABA-B receptors. Journal of Neuroscience 18:9099-9111, 1998.

Destexhe, A. and Pare, D. Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. Journal of Neurophysiology 81:1531-1547, 1999.

Deyo, S.N. and Lytton, W.W. Inhibition can disrupt hypersynchrony in model neuronal networks. Progress in Neuro-Psychopharmacology and Biological Psychiatry 21:735-750, 1997.

Engel, J., Schultens, H.A., and Schild, D. Small conductance potassium channels cause an activity-dependent spike frequency adaptation and make the transfer function of neurons logarithmic. Biophysical Journal 76:1310-1319, 1999.

Erdi, P., Aradi, I., and Grobler, T. Rhythmogenesis in single cells and population models: olfactory bulb and hippocampus. Biosystems 40:45-53, 1997.

Fleidervish, I.A., Friedman, A., and Gutnick, M.J. Slow inactivation of Na+ current and slow cumulative spike adaptation in mouse and guinea-pig neocortical neurones in slices. Journal of Physiology 493:83-97, 1996.

Fohlmeister, J.F. and Miller, R.F. Mechanisms by which cell geometry controls repetitive impulse firing in retinal ganglion cells. Journal of Neurophysiology 78:1948-1964, 1997.

Fohlmeister, J.F. and Miller, R.F. Impulse encoding mechanisms of ganglion cells in the tiger salamander retina. Journal of Neurophysiology 78:1835-1947, 1997.

Geiger, J.R.P., Lübke, J., Roth, A., Frotscher, M., and Jonas, P. Submillisecond AMPA receptor-mediated signaling at a principal neuron-interneuron synapse. Neuron 18:1009-1023, 1997.

Häusser, M., Stuart, G., Racca, C., and Sakmann, B. Axonal initiation and active dendritic propagation of action potentials in substantia nigra neurons. Neuron 15:637-647, 1995.

Häusser, M. and Roth, A. Estimating the time course of the excitatory synaptic conductance in neocortical pyramidal cells using a novel voltage jump method. Journal of Neuroscience 17:7606-7625, 1997.

Henze, D.A., Cameron, W.E., and Barrionuevo, G. Dendritic morphology and its effects on the amplitude and rise-time of synaptic signals in hippocampal CA3 pyramidal cells. Journal of Comparative Neurology 369:331-344, 1996.

Herrmann, U. and Flanders, M. Directional tuning of single motor units. Journal of Neuroscience 18:8402-8416, 1998.

Hines, M. and Shrager, P. A computational test of the requirements for conduction in demyelinated axons. Restorative Neurology and Neuroscience 3:81-93, 1991.

Hoffman, D.A., Magee, J.C., Colbert, C.M., and Johnston, D. K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons. Nature 387:869-875, 1997.

Holt, G.R. and Koch, C. Shunting inhibition does not have a divisive effect on firing rates. Neural Computation 9:1001-1013, 1997.

Hsu, H., Huang, E., Yang, X.-C., Karschin, A., Labarca, C., Figl, A., Ho, B., Davidson, N., and Lester, H.A. Slow and incomplete inactivations of voltage-gated channels dominate encoding in synthetic neurons. Biophysical Journal 65:1196-1206, 1993.

Ivanov, A.I., Launey, T., Gueritaud, J.-P., and Korogod, S.M. Relationship between electrical properties and morphology of motoneurons developing in dissociated unpurified co-culture of embrionic rat brain stem, spinal cord and hindlimb. Neurophysiology 30:370-375, 1998.

Jackson, M.E. and Cauller, L.J. Evaluation of simplified compartmental models of reconstructed neocortical neurons for use in large-scale simulations of biological neural networks. Brain Research Bulletin 44:7-17, 1997.

Jaffe, D.B., Fisher, S.A., and Brown, T.H. Confocal laser scanning microscopy reveals voltage-gated calcium signals within hippocampal dendritic spines. Journal of Neurobiology 25:220-223, 1994.

Jaffe, D.B., Ross, W.N., Lisman, J.E., Miyakawa, H., Lasser-Ross, N., and Johnston, D. A model of dendritic Ca2+ accumulation in hippocampal pyramidal neurons based on fluorescence imaging experiments. Journal of Neurophysiology 71:1065-1077, 1994.

Johnston, D. and Wu, S.M.-S. Foundations of Cellular Neurophysiology. Cambridge, MA: MIT Press, 1995.

Kairiss, E.W., Mainen, Z.F., Claiborne, B.J., and Brown, T.H. Dendritic control of Hebbian computations. In: Analysis and Modeling of Neural Systems, edited by F. Eeckman. Boston, MA: Kluwer, 1992, p. 69-83.

Kapur, A., Lytton, W.W., Ketchum, K.L., and Haberly, L.B. Regulation of the NMDA component of EPSPs by different components of postsynaptic GABAergic inhibition: computer simulation analysis in piriform cortex. Journal of Neurophysiology 78:2546-2559, 1997.

Kapur, A., Pearce, R.A., Lytton, W.W., and Haberly, L.B. GABAA-mediated IPSCs in piriform cortex have fast and slow components with different properties and locations on pyramidal cells. Journal of Neurophysiology 78:2531-2545, 1997.

Kim, H.G. and Connors, B.W. Apical dendrites of the neocortex: correlation between sodium- and calcium-dependent spiking and pyramidal cell morphology. Journal of Neuroscience 13:5301-5311, 1993.

Kits, K.S., de Vlieger, T.A., Kooi, B.W., and Mansvelder, H.D. Diffusion barriers limit the effect of mobile calcium buffers on exocytosis of large dense cored vesicles. Biophysical Journal 76:1693-1705, 1999.

Koch, C., Bernander, O., and Douglas, R.J. Do neurons have a voltage or a current threshold for action potential initiation? Journal of Computational Neuroscience 2:63-82, 1995.

Koch, C., Rapp, M., and Segev, I. A brief history of time (constants). Cerebral Cortex 6:93-101, 1996.

Korogod, S.M. and Kulagina, I.B. Geometry-induced features of current transfer in neuronal dendrites with tonically activated conductances. Biological Cybernetics 79:231-240, 1998.

Korogod, S.M., Kulagina, I.B., and Tyc-Dumont, S. Transfer properties of neuronal dendrites with tonically activated conductances. Neurophysiology 30:259-264, 1998.

Korogod, S.M. and Kulagina, I.B. Conditions of the dominant effectiveness of distal sites in of active uniform dendrites with distributed tonic inputs. Neurophysiology 30:376-382, 1998.

Kulagina, I.B. Transfer properties of branching dendrites with tonically activated conductances. Neurophysiology 30:383-386, 1998.

Larkum, M.E., Launey, T., Dityatev, A., and Lüscher, H.-R. Integration of excitatory postsynaptic potentials in dendrites of motoneurons of rat spinal cord slice cultures. Journal of Neurophysiology 80:924-935, 1998.

Lindgren, C.A. and Moore, J.W. Identification of ionic currents at presynaptic nerve endings of the lizard. Journal of Physiology 414:210-222, 1989.

Lipowsky, R., Gillessen, T., and Alzheimer, C. Dendritic Na+ channels amplify EPSPs in hippocampal CA1 pyramidal cells. Journal of Neurophysiology 76:2181-2191, 1996.

Lüscher, H.-R. and Larkum, M. Modeling action potential initiation and back-propagation in dendrites of cultured rat motoneurons. Journal of Neurophysiology 80:715-729, 1998.

Lytton, W.W. and Sejnowski, T.C. Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons. Journal of Neurophysiology 66:1059-1079, 1991.

Lytton, W.W. Simulations of a phase comparing neuron of the electric fish Eigenmannia. Journal of Comparative Physiology A 169:117-125, 1991.

Lytton, W.W. and Sejnowski, T.J. Computer model of ethosuximide's effect on a thalamic neuron. Annals of Neurology 32:131-139, 1992.

Lytton, W.W. and Wathey, J.C. Realistic single-neuron modeling. Seminars in Neuroscience 4:15-25, 1992.

Lytton, W.W., Destexhe, A., and Sejnowski, T.J. Control of slow oscillations in the thalamocortical neuron: a computer model. Neuroscience 70:673-684, 1996.

Lytton, W.W. Optimizing synaptic conductance calculation for network simulations. Neural Computation 8:501-509, 1996.

Lytton, W.W., Contreras, D., Destexhe, A., and Steriade, M. Dynamic interactions determine partial thalamic quiescence in a computer network model of spike-and-wave seizures. Journal of Neurophysiology 77:1679-1696, 1997.

Lytton, W.W. Computer model of clonazepam's effect in thalamic slice. NeuroReport 8:3339-3343, 1997.

Lytton, W.W., Hellman, K.M., and Sutula, T.P. Computer models of hippocampal circuit changes of the kindling model of epilepsy. Artificial Intelligence in Medicine 13:81-97, 1998.

Lytton, W.W. Adapting a feedforward heteroassociative network to Hodgkin-Huxley dynamics. Journal of Computational Neuroscience 5:353-364, 1998.

Maccabee, P.J., Nagarajan, S.S., Amassian, V.E., Durand, D.M., Szabo, A.Z., Ahad, A.B., Cracco, R.Q., Lai, K.S., and Eberle, L.P. Influence of pulse sequence, polarity and amplitude on magnetic stimulation of human and porcine peripheral nerve. Journal of Physiology 513:571-585, 1998.

Mainen, Z.F. and Sejnowski, T.J. Reliability of spike encoding in neocortical neurons. Proceedings of the Joint Symposium on Neural Computation, University of California, San Diego and California Institute of Technology 4:24-29, 1994.

Mainen, Z.F., Joerges, J., Huguenard, J., and Sejnowski, T.J. A model of spike initiation in neocortical pyramidal neurons. Neuron 15:1427-1439, 1995.

Mainen, Z.F. and Sejnowski, T.J. Reliability of spike timing in neocortical neurons. Science 268:1503-1506, 1995.

Mainen, Z.F. and Sejnowski, T.J. Influence of dendritic structure on firing pattern in model neocortical neurons. Nature 382:363-366, 1996.

Mainen, Z.F. and Sejnowski, T.J. Modeling active dendritic processes in pyramidal neurons. In: Methods in Neuronal Modeling, edited by C. Koch and I. Segev. Cambridge, MA: MIT Press, 1998, p. 171-209.

Manor, Y., Rinzel, J., Segev, I., and Yarom, Y. Low-amplitude oscillations in the inferior olive: a model based on electrical coupling of neurons with heterogeneous channel densities. Journal of Neurophysiology 77:2736-2752, 1997.

Markram, H., Lübke, J., Frotscher, M., Roth, A., and Sakmann, B. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. Journal of Physiology 500:409-440, 1997.

Marsalek, P., Koch, C., and Maunsell, J. On the relationship between synaptic input and spike output jitter in individual neurons. Proceedings of the National Academy of Sciences 94:735-740, 1997.

McIntyre, C.C. and Grill, W.M. Excitation of central nervous system neurons by nonuniform electric fields. Biophysical Journal 76:878-888, 1999.

Mel, B.W. NMDA-based pattern discrimination in a modeled cortical neuron. Neural Computation 4:502-517, 1992.

Mel, B.W. The clusteron: toward a simple abstraction for a complex neuron. In: Advances in Neural Information Processing Systems, vol. 4, edited by J. Moody, S. Hanson, and R. Lippmann. San Mateo, CA: Morgan Kaufmann, 1992, p. 35-42.

Mel, B.W. Synaptic integration in an excitable dendritic tree. Journal of Neurophysiology 70:1086-1101, 1993.

Mel, B.W., Niebur, E., and Croft, D.W. How neurons may respond to temporal structure in their inputs. In: Computational Neuroscience: Trends in Research, 1997, edited by J.M. Bower. New York: Plenum Press, 1997, p. 135-140.

Mel, B.W., Ruderman, D.L., and Archie, K.A. Toward a single-cell account for binocular disparity tuning: an energy model may be hiding in your dendrites. In: Advances in Neural Information Processing Systems, vol. 10, edited by M.I. Jordan, M.J. Kearns, and S.A. Solla. Cambridge, MA: MIT Press, 1997, p. 208-214.

Mel, B.W., Ruderman, D.L., and Archie, K.A. Complex-cell responses derived from center-surround inputs: the surprising power of intradendritic computation. In: Advances in Neural Information Processing Systems, vol. 9, edited by M.C. Mozer, M.I. Jordan, and T. Petsche. Cambridge, MA: MIT Press, 1997, p. 83-89.

Mel, B.W., Ruderman, D.L., and Archie, K.A. Translation-invariant orientation tuning in visual "complex" cells could derive from intradendritic computations. Journal of Neuroscience 18:4325-4334, 1998.

Migliore, M., Cook, E.P., Jaffe, D.B., Turner, D.A., and Johnston, D. Computer simulations of morphometrically reconstructed CA3 hippocampal neurons. Journal of Neurophysiology 73:1157-1168, 1995.

Migliore, M. Modeling the attenuation and failure of action potentials in the dendrites of hippocampal neurons. Biophysical Journal 71:2394-2403, 1996.

Miralles, F. and Solsona, C. Activity-dependent modulation of the presynaptic potassium current in the frog neuromuscular junction. Journal of Physiology 495:717-732, 1996.

Moore, J.W. and Hines, M. Some consequences of intracellular calcium binding on phasic synaptic transmitter release. In: Calcium, Neuronal Function, and Transmitter Release, edited by R. Rahamimoff and B. Katz: Martinus Nijhoff, 1986, p. 115-140.

Mukherjee, P. and Kaplan, E. The maintained discharge of neurons in the cat lateral geniculate nucleus: Spectral analysis and computational modeling. Visual Neuroscience 15:529-539, 1997.

Nadim, F., Manor, Y., Nusbaum, M.P., and Marder, E. Frequency regulation of a slow rhythm by a fast periodic input. Journal of Neuroscience 18:5053-5067, 1998.

O'Boyle, M.P., Carnevale, N.T., Claiborne, B.J., and Brown, T.H. A new graphical approach for visualizing the relationship between anatomical and electrotonic structure. In: Computational Neuroscience: Trends in Research 1995, edited by J.M. Bower. San Diego: Academic Press, 1996.

Ohana, O. and Sakmann, B. Transmitter release modulation in nerve terminals of rat neocortical pyramidal cells by intracellular calcium buffers. Journal of Physiology 513:135-148, 1998.

Pare, D., Lang, E.J., and Destexhe, A. Inhibitory control of somatodendritic interactions underlying action potentials in neocortical pyramidal neurons in vivo: an intracellular and computational study. Neuroscience 84:377-402, 1998.

Raastad, M. and Lipowski, R. Diversity of postsynaptic amplitude and failure probability of unitary excitatory synapses between CA3 and CA1 cells in the rat hippocampus. European Journal of Neuroscience 8:1265-1274, 1996.

Raastad, M., Enriquez-Denton, M., and Kiehn, O. Synaptic signaling in an active central network only moderately changes passive membrane properties. Proceedings of the National Academy of Sciences 95:10251-10256, 1998.

Rapp, M., Yarom, Y., and Segev, I. Modeling back propagating action potential in weakly excitable dendrites of neocortical pyramidal cells. Proceedings of the National Academy of Sciences 93:11985-11990, 1996.

Rapp, M., Yarom, Y., and Segev, I. A detailed model of signal transmission in excitable dendrites of rat neocortical pyramidal cells. In: Computational Neuroscience: Trends in Research, 1997, edited by J.M. Bower. New York: Plenum Press, 1997, p. 183-188.

Reuveni, I., Friedman, A., Amitai, Y., and Gutnick, M.J. Stepwise repolarization from Ca2+ plateaus in neocortical pyramidal cells: evidence for nonhomogeneous distribution of HVA Ca2+ channels in dendrites. Journal of Neuroscience 13:4609-4621, 1993.

Ross, M.D., Chimento, T., Doshay, D., and Cheng, R. Computer-assisted 3-dimensional reconstruction and simulations of vestibular macular neural connectivities. Annals of the New York Academy of Sciences 656:75-91, 1992.

Rusakov, D.A., Stewart, M.G., and Korogod, S.M. Branching of active dendritic spines as a mechanism for controlling synaptic efficacy. Neuroscience 75:315-323, 1996.

Rusakov, D.A., Richter-Levin, G., Stewart, M.G., and Bliss, T.V.P. Reduction in spine density associated with long-term potentiation in the dentate gyrus suggests a spine fusion-and-branching model of potentiation. Hippocampus 7:489-500, 1997.

Rusakov, D.A., Stewart, M.G., and Korogod, S.M. Subtle re-location of dendritic spine branches containing membrane with fast spiking mechanisms can alter synaptic efficacy. Neurophysiology 29:22-27, 1997.

Sah, P. and Bekkers, J.M. Apical dendritic location of slow afterhyperpolarization current in hippocampal pyramidal neurons: implications for the integration of long-term potentiation. Journal of Neuroscience 16:4537-4542, 1996.

Sahin, M. and Durand, D.M. Improved nerve cuff electrode recordings with subthreshold anodic currents. IEEE Transactions on Biomedical Engineering 45:1044-1050, 1998.

Sanchez, R.M., Surkis, A., and Leonard, C.S. Voltage-clamp analysis and computer simulation of a novel cesium-resistant A-current in guinea pig laterodorsal tegmental neurons. Journal of Neurophysiology 79:3111-3126, 1998.

Schindler, K.A., Bernasconi, C.A., Stoop, R., Goodman, P.H., and Douglas, R.J. Chaotic spike patterns evoked by periodic inhibition of rat cortical neurons. Zeitschrift für Naturforschung A 52:509-512, 1997.

Segev, I., Friedman, A., White, E.L., and Gutnick, M.J. Electrical consequences of spine dimensions in a model of a cortical spiny stellate cell completely reconstructed from serial thin sections. Journal of Computational Neuroscience 2:117-130, 1995.

Segev, I. and Burke, R.E. Compartmental models of complex neurons. In: Methods in Neuronal Modeling, edited by C. Koch and I. Segev. Cambridge, MA: MIT Press, 1998, p. 93-129.

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"Primary" publications relevant to NEURON itself

Hines, M. Efficient computation of branched nerve equations. Int. J. Bio-Med. Comput. 15:69-76, 1984.
This is really about an algorithm that is responsible for much of NEURON's computational efficiency in dealing with models of cells with complex branched architecture.

Hines, M. A program for simulation of nerve equations with branching geometries. Int. J. Bio-Med. Comput. 24:55-68, 1989. PostScript preprint available for gunzip and pkunzip.
This is from before NEURON became NEURON.

Hines, M. NEURON--a program for simulation of nerve equations. In: Neural Systems: Analysis and Modeling, edited by F. Eeckman. Norwell, MA: Kluwer, 1993, p. 127-136. PostScript preprint available for gunzip and pkunzip.

Hines, M. The NEURON simulation program. In: Neural Network Simulation Environments, edited by J. Skrzypek. Norwell, MA: Kluwer, 1994, p. 147-163. PostScript preprint available for gunzip and pkunzip.

Hines, M. and Carnevale, N.T. Computer modeling methods for neurons. In: The Handbook of Brain Theory and Neural Networks, edited by M.A. Arbib. Cambridge, MA: MIT Press, 1995, p. 226-230. PostScript preprint available for gunzip and pkunzip.
A good place to look for a concise summary.

Hines, M.L. and Carnevale, N.T. The NEURON simulation environment. Neural Computation 9:1179-1209, 1997. A preprint is available in HTML, PostScript for gunzip and pkunzip, and PDF (Adobe Acrobat) formats.
This is probably the best all-around source of information at this time.

Hines, M.L. The Neurosimulator NEURON. In: Methods in Neuronal Modeling, edited by C. Koch and I. Segev. Cambridge, MA: MIT Press, 1998, p. 129-136.

Shepherd, G.M., Mirsky, J.S., Healy, M.D., Singer, M.S., Skoufos, E., Hines, M.L., Nadkarni, P.M., and Miller, P.L. The Human Brain Project : neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data. Trends in Neurosciences 21:460-468, 1998.
Describes new information resources for neuroscience in general and empirically-based modeling in particular.