Prev TOC

REFERENCES


Bernander, O., Douglas, R.J., Martin, K.A.C., and Koch, C. Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proc. Nat. Acad. Sci. 88:11569-11573, 1991.

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.

Carnevale, N.T. and Rosenthal, S. Kinetics of diffusion in a spherical cell: I. No solute buffering. J. Neurosci. Meth. 41:205-216, 1992.

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. Digital preprint.

Carnevale, N.T., Tsai, K.Y., and Hines, M.L. The Electrotonic Workbench. Presented at the Workshop on Computational Morphology, MIT Brain and Cognitive Science Center, Saturday, July 13, 1996a. Abstract with figures.

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

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.

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

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

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. J. Neurosci. 16:169-185, 1996.

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

Destexhe, A. and Sejnowski, T.J. G-protein activation kinetics and spill-over of GABA may account for differences between inhibitory responses in the hippocampus and thalamus. Proc. Nat. Acad. Sci. 92:9515-9519, 1995.

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.

Hines, M. Efficient computation of branched nerve equations. Int. J. Bio-Med. Comput. 15:69-76, 1984.

Hines, M. A program for simulation of nerve equations with branching geometries. Int. J. Bio-Med. Comput. 24:55-68, 1989.

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.

Hines, M. The NEURON simulation program. In: Neural Network Simulation Environments, edited by J. Skrzypek. Norwell, MA: Kluwer, 1994, p. 147-163.

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.

Hines, M. and Shrager, P. A computational test of the requirements for conduction in demyelinated axons. J. Restor. Neurol. Neurosci. 3:81-93, 1991.

Hodgkin, A.L. and Huxley, A.F. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117:500-544, 1952.

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. Biophys. J. 65:1196-1206, 1993.

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. J. Neurophysiol. 71:1065-1077, 1994.

Kernighan, B.W. and Pike, R. Appendix 2: Hoc manual. In: The UNIX Programming Environment. Englewood Cliffs, NJ: Prentice-Hall, 1984, p. 329-333.

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

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

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

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

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.

Mascagni, M.V. Numerical methods for neuronal modeling. In: Methods in Neuronal Modeling, edited by C. Koch and I. Segev. Cambridge, MA: MIT Press, 1989, p. 439-484.

Moore, J.W. and Hines, M. Simulations with NEURON 3.1, on-line documentation in html format, available at http://neuron.duke.edu

Murer, S., Omohundro, S.M., Stoutamire, D., and Szyerski, C. Iteration abstraction in Sather. ACM Transactions on Programming Languages and Systems 18:1-15, 1996.

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

Rall, W. Theoretical significance of dendritic tree for input-output relation. In: Neural Theory and Modeling, edited by R.F. Reiss. Stanford: Stanford University Press, 1964, p. 73-97.

Rall, W. Cable theory for dendritic neurons. In: Methods in Neuronal Modeling, edited by C. Koch and I. Segev. Cambridge, MA: MIT Press, 1989, p. 8-62.

Softky, W. Sub-millisecond coincidence detection in active dendritic trees. Neurosci. 58:13-41, 1994.

Stewart, D. and Leyk, Z. Meschach: Matrix Computations in C. Proceedings of the Centre for Mathematics and its Applications. Vol. 32. Canberra, Australia: School of Mathematical Sciences, Australian National University, 1994.

Traynelis, S.F., Silver, R.A., and Cull-Candy, S.G. Estimated conductance of glutamate receptor channels activated during epscs at the cerebellar mossy fiber-granule cell synapse. Neuron 11:279-289, 1993.

Tsai, K.Y., Carnevale, N.T., and Brown, T.H. Hebbian learning is jointly controlled by electrotonic and input structure. Network 5:1-19, 1994a.

Tsai, K.Y., Carnevale, N.T., Claiborne, B.J., and Brown, T.H. Efficient mapping from neuroanatomical to electrotonic space. Network 5:21-46, 1994b.

Zador, A.M., Agmon-Snir, H., and Segev, I. The morphoelectrotonic transform: a graphical approach to dendritic function. J. Neurosci. 15:1669-1682, 1995.



Prev TOC


Address questions and inquiries to
Michael Hines or Ted Carnevale

Digital preprint of "The NEURON Simulation Environment" by M.L. Hines and N.T. Carnevale, Neural Computation, Volume 9, Number 6 (August 15, 1997), pp. 1179-1209. Copyright © 1997 by the Massachusetts Institute of Technology, all rights reserved.
HTML formatting and graphics for page navigation copyright © 1997 by N.T. Carnevale amd M.L. Hines.