Koichiro Takita

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This paper considers learning by a pulse neural network and proposes a new reinforcement learning algorithm focusing on the ability of pulse neuron elements to process time series. The conventional integrator neuron element is modeled in terms of the average firing rate of the biological neuron. But the pulse neuron is a modeling of the input– output(More)
BACKGROUND Inhalants are the standard treatment for patients with bronchial asthma. Inaccurate inhaler use leads to inadequate therapeutic effects and unnecessary dosage increases. However, it is a challenge for practitioners to master the various devices available and train patients on the accurate use of inhalers. Thus, establishing a system to instruct(More)
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