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Rhythmic vs. Tonic Inhibition

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An Introduction to Modeling Neuronal Dynamics

Part of the book series: Texts in Applied Mathematics ((TAM,volume 66))

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Abstract

In experiments described in [143], fast-firing inhibitory interneurons in the barrel cortex of mice, the part of the mouse brain that processes input from the whiskers, were driven to synchronize at 40 ​Hz, using optogenetic techniques. (In general, optogenetic techniques involve genetically sensitizing neurons to light, then using light to control them.) Figure 35.1 is a reproduction of Fig. 3A of [143]. The figure shows LFP recordings from barrel cortex during 40 ​Hz optogenetic stimulation of the fast-firing inhibitory interneurons. The central finding of [143] was that making the activity of fast-firing inhibitory interneurons rhythmic at 40 ​Hz improved the ability of the mice to perceive certain whisker deflections.

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Notes

  1. 1.

    Because the integrand is smooth and periodic, and the integral extends over one period, the trapezoid method for evaluating integrals is of infinite order of accuracy here [78].

  2. 2.

    For any function f = f(t), t ≥ 0, the notation “supt≥0 f(t)” denotes the supremum of f(t) over t ≥ 0, i.e., the lowest upper bound, the smallest A ∈ (−∞,∞] such that f(t) ≤ A for all t ≥ 0.

  3. 3.

    Here is a completely precise way of reasoning. Suppose \(\overline{v}(t_{0}) >\hat{ v}\). Since \(\overline{v}\) is continuous, there is an ε > 0 with \(\overline{v}(t) >\hat{ v}\) for all t ∈ (t 0ε, t 0). We choose the largest possible such ε. Therefore \(\overline{v}(t_{0}-\epsilon ) =\hat{ v}\). The mean value theorem now implies that there is a time t strictly between t 0ε and t 0 at which \(d\overline{v}/dt > 0\). This is a contradiction because at this time, \(\overline{v} >\hat{ v}\), and we showed that \(\overline{v} >\hat{ v}\) implies \(d\overline{v}/dt < 0\).

Bibliography

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  3. J. H. Siegle, D. L. Pritchett, and C. I. Moore, Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli, Nature Neurosci., 17 (2014), pp. 1371–1379.

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Börgers, C. (2017). Rhythmic vs. Tonic Inhibition. In: An Introduction to Modeling Neuronal Dynamics. Texts in Applied Mathematics, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-319-51171-9_35

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