Slow and fast inhibition and an H-current interact to create a theta rhythm in a model of CA1 interneuron network
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The oriens-lacunosum moleculare (O-LM) subtype of interneuron is a key component in the formation of the theta rhythm (8-12 Hz) in the hippocampus. It is known that the CA1 region of the hippocampus can produce theta rhythms in vitro with all ionotropic excitation blocked, but the mechanisms by which this rhythmicity happens were previously unknown. Here we present a model suggesting that individual O-LM cells, by themselves, are capable of producing a single-cell theta-frequency firing, but coupled O-LM cells are not capable of producing a coherent population theta. By including in the model fast-spiking (FS) interneurons, which give rise to IPSPs that decay faster than those of the O-LM cells, coherent theta rhythms are produced. The inhibition to O-LM cells from the FS cells synchronizes the O-LM cells, but only when the FS cells themselves fire at a theta frequency. Reciprocal connections from the O-LM cells to the FS cells serve to parse the FS cell firing into theta bursts, which can then synchronize the O-LM cells. A component of the model O-LM cell critical to the synchronization mechanism is the hyperpolarization-activated h-current. The model can robustly reproduce relative phases of theta frequency activity in O-LM and FS cells.
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Diverse sources of inhibition from the various interneuronal types are believed to enable networks to achieve more complex behaviors, including oscillations.
“Since the diverse sources of inhibition from the various interneuronal types are believed to enable networks to achieve more complex behaviors, including oscillations (Soltesz, 2006; Rotstein et al., 2005; Kepecs and Fishell, 2014)”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Rotstein et al., 2005
Results from the strictly data-driven, full-scale CA1 model are consistent with earlier models that demonstrated the basic ingredients capable of producing emergent network oscillations at a range of frequencies in microcircuits and small networks.
“Our results from the strictly data-driven, full-scale CA1 model are consistent with those of earlier models that elegantly demonstrated the basic ingredients capable of producing emergent network oscillations at a range of frequencies in microcircuits and small networks”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Rotstein et al., 2005
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References 75 · Cited by 175
- Authors
- Rotstein, H. G., Pervouchine, D. D., Acker, C. D., Gillies, M. J., White, J. A., Buhl, E. H., Whittington, M. A., & Kopell, N.
- Affiliations
- Boston University (US)
- University of Leeds (GB)
- ORCID
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2005-08
- Volume
- 94
- Issue
- 2
- Pages
- 1509-1518
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2134072465
- Cited by
- 175
- References
- 75
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 8 · 2023: 5 · 2022: 10 · 2021: 4 · 2020: 8 · 2019: 6 · 2018: 8 · 2017: 14 · 2016: 6 · 2015: 10 · 2014: 7 · 2013: 13 · 2012: 9
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- theta oscillations, hippocampal CA1, oriens-lacunosum moleculare interneurons, fast-spiking interneurons, neuronal synchronization, relative phase, computational model
- MeSH terms
- Animals, Computer Simulation, Hippocampus, Interneurons, Ion Channels, Membrane Potentials, Methoxyhydroxyphenylglycol, Neural Inhibition, Synaptic Transmission, Periodicity, Quinoxalines, Theta Rhythm, Neural Networks, Computer, Rats, Wistar, Patch-Clamp Techniques, Excitatory Amino Acid Antagonists, Rats, In Vitro Techniques
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