Influence of external input on waxing and waning of neuronal network oscillations

Gonzalez, Oscar J. Avella; Elburg, Ronald van; Mansvelder, Huibert D.; Pelt, Jaap van; Ooyen, Arjen van

doi:10.1186/1471-2202-10-s1-p257

Cited by 2 publications

(1 citation statement)

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“…Most types of interneurons have slow potassium channels (Bezaire et al, 2016;Komendantov et al, 2019), which can make a significant contribution to the frequency of neuronal discharges due to spikefrequency adaptation. OLM neurons have pronounced H-currents (Saraga et al, 2003), which can also make a significant contribution to the impulsing of these neurons due to depolarization or resonant properties (Avella Gonzalez et al, 2015). The usage of the LIF model is dictated by a limitation of the population approach.…”

Section: Discussion Assumptions and Limitations Of The Modelmentioning

confidence: 99%

Phase relations of interneuronal activity relative to theta rhythm

Mysin

2023

Front. Neural Circuits

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The theta rhythm plays a crucial role in synchronizing neural activity during attention and memory processes. However, the mechanisms behind the formation of neural activity during theta rhythm generation remain unknown. To address this, we propose a mathematical model that explains the distribution of interneurons in the CA1 field during the theta rhythm phase. Our model consists of a network of seven types of interneurons in the CA1 field that receive inputs from the CA3 field, entorhinal cortex, and local pyramidal neurons in the CA1 field. By adjusting the parameters of the connections in the model. We demonstrate that it is possible to replicate the experimentally observed phase relations between interneurons and the theta rhythm. Our model predicts that populations of interneurons receive unimodal excitation and inhibition with coinciding peaks, and that excitation dominates to determine the firing dynamics of interneurons.

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