Abstract
Intrinsic subthreshold oscillations are a rather common feature of a variety of neurons in the peripheral and central nervous system. Examples reach from neurons in the amygdala, entorhinal and frontal cortex to sensory receptors such as mammalian cold receptors or multimodal ampullary sensory receptors of teleosts1–6. The phenomenon is characterized by oscillatory changes in the membrane potential which are below or close to the spike threshold. In this situation, naturally occuring stochastic influences due to membrane or synaptic noise seem to be an essential component for signal encoding. The reason is, that now the noise actually determines whether a spike is triggered during an oscillation cycle or not. Typical mixed patterns result consisting of spike-triggering and subthreshold oscillations (figure 1, see also ref. 3).
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Huber, M.T., Braun, H.A., Dewald, M., Voigt, K., Krieg, J.C. (1998). Computational Properties of a Neuronal Model for Noisy Subthreshold Oscillations. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4831-7_33
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DOI: https://doi.org/10.1007/978-1-4615-4831-7_33
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