Abstract
Activity-dependent slow biochemical regulation processes, affecting intrinsic properties of a neuron, might play an important role in determining information processing strategies in the nervous system. We introduce second-order biochemical phenomena into a linear leaky integrate-and-fire model neuron together with a detailed kinetic description for synaptic signal transduction. In this framework, we investigate the membrane intrinsic electrical properties differentiation, showing the appearance of activity-dependent shifts between integration and temporal coincidence detection operating mode, for the single unit of a network.
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Giugliano, M., Bove, M. & Grattarola, M. Activity-Driven Computational Strategies of a Dynamically Regulated Integrate-and-Fire Model Neuron. J Comput Neurosci 7, 247–254 (1999). https://doi.org/10.1023/A:1008979302515
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DOI: https://doi.org/10.1023/A:1008979302515