The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons
Abstract
1. The interaction between inhibitory interneurons and cortical pyramidal neurons was studied by use of computer simulations to test whether inhibitory interneurons could assist in phase-locking postsynaptic cells. Two models were used: a simplified model, which included only 3 membrane channels, and a detailed 11-channel model. 2. The 11-channel model included most of the ion channels known to be present in neocortical pyramidal neurons as well as calcium diffusion and other membrane mechanisms. The kinetics for the channels were obtained from voltage-clamp studies in a variety of preparations. The parameters were then adjusted to produce repetitive bursting similar to that seen in some cortical pyramidal cells entrained during visual stimulation. 3. Phase-locking to a train of inhibitory postsynaptic potentials (IPSPs) located on or near the soma was observed in the 3-channel model cell subjected to random synaptic bombardment. In the 11-channel model, phase-locking due to multiple IPSPs was compared with phase-locking due to multiple excitatory postsynaptic potentials (EPSPs). Phase-locking began to occur when 20% of the IPSPs (20/100) or 40% of the EPSPs (4,000/10,000) were synchronized. The exact percentages differed with different 11-channel models, but either EPSPs or IPSPs would generally produce entrainment with approximately 40% synchronization. Thus 40 inhibitory boutons had an effect equivalent to 4,000 excitatory boutons in producing phase-locking. 4. Phase-locking with IPSPs in these models was possible because the IPSPs could cause either an increase or a decrease in firing rate over a limited range. The IPSPs served a modulatory role, increasing the rate of firing in some cases and decreasing it in others, depending on the state of the cell. 5. We examined frequency entrainment by IPSPs. In the 3-channel model, frequency entrainment of a postsynaptic cell was observed with a rapid train of strong (20-100 nS), brief, compound IPSPs. A 40-Hz compound IPSP train of 60 nS entrained cells having initial firing rates between 32 and 47 Hz. Below this range, cells could be partially entrained. Above the range, entrainment would fail. Frequency entrainment in the 3-channel model generally occurred on the first cycle after onset of the IPSPs. 6. Phase-locking and frequency entrainment were less robust in the 11-channel model. This was partly because bursts rather than individual spikes were being entrained. A 40-Hz, 90-nS compound IPSP train entrained a model cell upward from 34 Hz. Downward frequency entrainment also occurred.(ABSTRACT TRUNCATED AT 400 WORDS)
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Citations
Cites
Calcium-dependent current generating the afterhyperpolarization of hippocampal neurons
Lancaster, B., & Adams, P. R. (1986) · Journal of Neurophysiology · doi:10.1152/jn.1986.55.6.1268 · Cited by 547 · cited 1×
“A similar channel has also been reported in hippocampal cells (Lancaster and Adams 1986; Segal and Barker 1986).”
BackgroundConnors, B. W., Malenka, R. C., & Silva, L. R. (1988) · The Journal of Physiology · doi:10.1113/jphysiol.1988.sp017390 · Cited by 522
Somogyi, P., Nunzi, M. G., Gorio, A., & Smith, A. D. (1983) · Brain Research · doi:10.1016/0006-8993(83)91076-4 · Cited by 273
Schwindt, P. C., Spain, W. J., & Crill, W. E. (1988) · Journal of Neurophysiology · doi:10.1152/jn.1988.59.2.468 · Cited by 55 · cited 5×
“The late slow afterhyperpolarization in cortical neurons was shown to be sensitive to acetylcholine and is therefore likely to include the M-current, a muscarinically modulated potassium conductance (Schwindt et al. 1988b).”
BackgroundInfluential
Cited by
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564
Interneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4<347::aid-hipo1>3.0.co;2-i · Cited by 3,441
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Metadata
- Authors
- Lytton, W. W., & Sejnowski, T. J.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1991-09-01
- Volume
- 66
- Issue
- 3
- Pages
- 1059-1079
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1921877271
- Cited by
- 427
- References
- 4
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- closed
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