The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Synaptic background activity influences spatiotemporal integration in single pyramidal cells.
Open accessAbstract
The standard one-dimensional Rall cable model assumes that the electrotonic structure of neurons does not change in response to synaptic input. This model is used in a great number of both theoretical and anatomical-physiological structure-function studies. In particular, the membrane time constant, tau m, the somatic input resistance, Rin, and the electrotonic length are used to characterize single cells. However, these studies do not take into account that neurons are embedded in a network of spontaneously active cells. Synapses from these cells will contribute significantly to the membrane conductance, especially if recent evidence of very high specific membrane resistance, Rm = 100 k omega.cm2, is taken into account. We numerically simulated the electrical behavior of an anatomically reconstructed layer V cortical pyramidal cell receiving input from 4000 excitatory and 1000 inhibitory cells firing spontaneously at 0-7 Hz. We found that, over this range of synaptic background activity, tau m and Rin change by a factor of 10 (80-7 msec, 110-14 M omega) and the electrotonic length of the cell changes by a factor of 3. We show that this significantly changes the response of the cell to temporal desynchronized versus temporal synchronized synaptic input distributed throughout the neuron. Thus, the global activity of the network can control how individual cells perform spatial and temporal integration.
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Cites
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Intrinsic firing patterns of diverse neocortical neurons
Connors, B. W., & Gutnick, M. J. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90185-d · Cited by 1,448
Laminar differences in receptive field properties of cells in cat primary visual cortex
Gilbert, C. D. (1977) · The Journal of Physiology · doi:10.1113/jphysiol.1977.sp011863 · Cited by 675
Bekkers, J. M., & Stevens, C. F. (1989) · Nature · doi:10.1038/341230a0 · Cited by 665
Synaptic transmission between individual pyramidal neurons of the rat visual cortex in vitro
Mason, A., Nicoll, A., & Stratford, K. (1991) · The Journal of Neuroscience · doi:10.1523/jneurosci.11-01-00072.1991 · Cited by 429
Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons
Lytton, W. W., & Sejnowski, T. J. (1991) · Journal of Neurophysiology · doi:10.1152/jn.1991.66.3.1059 · Cited by 427
Retinal ganglion cells: a functional interpretation of dendritic morphology
Koch, C., Poggio, T., & Torre, V. (1982) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1982.0084 · Cited by 420
Self-citationDendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions
Larkman, A. U. (1991) · Journal of Comparative Neurology · doi:10.1002/cne.903060209 · Cited by 274
An intracellular analysis of the visual responses of neurones in cat visual cortex.
Douglas, R. J., Martin, K. A., & Whitteridge, D. (1991) · The Journal of Physiology · doi:10.1113/jphysiol.1991.sp018730 · Cited by 264
Self-citationBiophysical model of a Hebbian synapse.
Zador, A., Koch, C., & Brown, T. H. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.17.6718 · Cited by 239
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The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
Self-citationInterneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
Trans-synaptic shift in anion gradient in spinal lamina I neurons as a mechanism of neuropathic pain
Coull, J. A. M., Boudreau, D., Bachand, K., Prescott, S. A., Nault, F., Sík, A., Koninck, P. D., & Koninck, Y. D. (2003) · Nature · doi:10.1038/nature01868 · Cited by 1,118
Turning on and off recurrent balanced cortical activity
Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003) · Nature · doi:10.1038/nature01616 · Cited by 1,054
Gain Modulation from Background Synaptic Input
Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00820-6 · Cited by 1,012
Metadata
- Authors
- Bernander, O., Douglas, R. J., Martin, K. A., & Koch, C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1991-12-15
- Volume
- 88
- Issue
- 24
- Pages
- 11569-11573
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2139975927
- Cited by
- 522
- References
- 19
- FWCI
- 9.28
- Type
- journal article
- Language
- en
- Open access
- green
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- Bernander, O., Douglas, R. J., Martin, K. A., & Koch, C. (1991). Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.88.24.11569
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