ArticleFrontiers in computational neuroscience2013
Experimentally constrained CA1 fast-firing parvalbumin-positive interneuron network models exhibit sharp transitions into coherent high frequency rhythms.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed, 70 citations in OpenAlex.
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- Persistent Interruption in Parvalbumin Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms.bioRxiv : the preprint server for biology · 2024Article
- Volume-transmitted GABA waves pace epileptiform rhythms in the hippocampal network.Current biology : CB · 2023Article
- NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML.PLoS computational biology · 2023Article
- Interneuronal network model of theta-nested fast oscillations predicts differential effects of heterogeneity, gap junctions and short term depression for hyperpolarizing versus shunting inhibition.PLoS computational biology · 2022Article
- Synaptic Role in Facilitating Synchronous Theta Oscillations in a Hybrid Hippocampal Neuronal Network.Frontiers in computational neuroscience · 2022Article
- A new GABAergic somatostatin projection from the BNST onto accumbal parvalbumin neurons controls anxiety.Molecular psychiatry · 2021Article
- Corrigendum: Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset.Frontiers in neural circuits · 2021Article
- A Hypothesis for Theta Rhythm Frequency Control in CA1 Microcircuits.Frontiers in neural circuits · 2021Article
- Effects of Neuromodulation on Excitatory-Inhibitory Neural Network Dynamics Depend on Network Connectivity Structure.Journal of nonlinear science · 2020Article
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- Dendritic NMDA receptors in parvalbumin neurons enable strong and stable neuronal assemblies.eLife · 2019Article
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- Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset.Frontiers in neural circuits · 2019Article
- Hippocampal Ripple Oscillations and Inhibition-First Network Models: Frequency Dynamics and Response to GABA Modulators.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Hippocampal GABAergic Inhibitory Interneurons.Physiological reviews · 2017Review
- Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Dichotomous Dynamics in E-I Networks with Strongly and Weakly Intra-connected Inhibitory Neurons.Frontiers in neural circuits · 2017Article
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5 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The coupling of high frequency oscillations (HFOs; >100 Hz) and theta oscillations (3-12 Hz) in the CA1 region of rats increases during REM sleep, indicating that it may play a role in memory processing. However, it is unclear whether the CA1 region itself is capable of providing major contributions to the generation of HFOs, or if they are strictly driven through input projections. Parvalbumin-positive (PV+) interneurons may play an essential role in these oscillations due to their extensive connections with neighboring pyramidal cells, and their characteristic fast-spiking. Thus, we created mathematical network models to investigate the conditions under which networks of CA1 fast-spiking PV+ interneurons are capable of producing high frequency population rhythms. We used whole-cell patch clamp recordings of fast-spiking, PV+ cells in the CA1 region of an intact hippocampal preparation in vitro to derive cellular properties, from which we constrained an Izhikevich-type model. Novel, biologically constrained network models were constructed with these individual cell models, and we investigated networks across a range of experimentally determined excitatory inputs and inhibitory synaptic strengths. For each network, we determined network frequency and coherence. Network simulations produce coherent firing at high frequencies (>90 Hz) for parameter ranges in which PV-PV inhibitory synaptic conductances are necessarily small and external excitatory inputs are relatively large. Interestingly, our networks produce sharp transitions between random and coherent firing, and this sharpness is lost when connectivity is increased beyond biological estimates. Our work suggests that CA1 networks may be designed with mechanisms for quickly gating in and out of high frequency coherent population rhythms, which may be essential in the generation of nested theta/high frequency rhythms.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.