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Hürkey, S.

Publications and source records attributed to Hürkey, S..

2 recordsLinked to original sources

Robustness through variability: ion channel isoform diversity safeguards neuronal excitability

Neural circuits are composed of different neuron types that exhibit distinctly different computational properties resulting from the sets of ion channels expressed. Profound insight exists into how neural computations arise from the precise regulation of ion channels (Armstrong et al., 1998; Lai, Jan, 2006; Nusser et al., 2012), how degenerate channel properties support similar computations (Marder, Prinz, 2002; Marder, Goaillard, 2006), and how channelopathies affect brain function (Kullmann, 2010). However, it remains elusive why neurons express many more channels, and isoforms thereof, than required to tune their specific excitabilities. Here, we employ an experiment-theory approach pairing electrophysiology with Drosophila genetics, and mathematical modelling to show that the variance in membrane properties that results from ion channel diversity promotes the robustness of neuron-type specific functions. Specifically, we show that the robustness of flight motoneuron coding properties to internal and external perturbations is significantly enhanced by the diversity of calcium channel splice isoforms expressed. Importantly, increased excitability robustness to perturbations of outward currents or temperature does not require adjustments in calcium channel mean properties. Instead, increases of the variance of calcium channel gating properties that result from channel isoform diversity broaden the dynamic input range the neuron can compute without reaching depolarization block. This broadens our concept of the functional consequences of the tremendous variety and diversity of ion channels expressed in brains. One Sentence SummaryThe variance of calcium channel gating properties is increased by channel isoform diversity and aids neuronal coding and excitability robustness.

neuroscience↗

Motoneurons can count: A cell intrinsic spike number memory compensates for deviations from rate coding

Firing rate is an important means of encoding information in many types of neurons. A prime example is asynchronous flight as used by [~]600,000 insect species (Dudley, 2018), where wingbeat frequency and flight power output are controlled by a rate code of the flight power motoneurons (Hurkey et al., 2023). The five motoneurons that innervate the wing depressor muscle fibers translate different magnitudes of excitatory drive smoothly into changes of their common firing rates, which in turn, are linearly related to wing power output (Gordon and Dickinson, 2006). Such motoneuron input/output properties are called type-I excitability and are achieved by the expression of specific combinations of ion currents that linearize the frequency-input current curve. But are there additional motoneuron properties that compensate for acute perturbation of their rate code? Here we combine in vivo electrophysiology with Drosophila genetics to test for mechanisms that compensate for transient perturbation of rate coding during behavior. We show that MN intrinsic properties compensate for the occurrence of extra spikes by delaying the subsequent spikes, thus restoring rate coding fidelity. The underlying mechanism is dose and phase dependent. First, compensatory increases of subsequent interspike interval durations grow with the number of supernumerous spikes that interfere with coding. Second, the magnitude of the compensation for single extra spikes depends on when during an interspike interval these occur. This mechanism depends at least in part on axonally localized HCN channels and increases the fidelity of motoneuron rate coding in the light of perturbation during flight motor behavior.

neuroscience↗