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- W4377703006 abstract "Perception of interval timing influences the behaviour of the organisms. Computational models of interval timing are categorized into Pacemaker Accumulator models, Memory-based models, Oscillator models and Random Process models, Ramping Activity models and Population Clock models. Random process models or drift diffusion models are biologically plausible models and are based on the activity of spiking neurons. In this paper, we proposed a computational model of interval timing based on spiking neurons. The results are validated against the Scalar property of interval timing." @default.
- W4377703006 created "2023-05-24" @default.
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- W4377703006 date "2023-02-24" @default.
- W4377703006 modified "2023-09-25" @default.
- W4377703006 title "Leaky-Integrate-and-Fire Neuron as Pacemaker for Interval Timing" @default.
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- W4377703006 doi "https://doi.org/10.1109/delcon57910.2023.10127242" @default.
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