Input signal identification in the taste bud-inspired sensor network
نویسندگان
چکیده
This study presents a sensor neural network inspired by mouse taste buds for input signal identification. The sensor neural network model consisted of two layers of spiking cells: 4 Type II and 2 Type III cells. The Type II cells were receptive cells, and the Type III cells were output cells. The sensor network model converted differences in the sensory input into the degree of synchronization of output spikes. The Type III cells were excited by the common telegraph pulses generated by the Type II cells. The degree of synchronization of the output spikes was determined by the temporal patterns of the common telegraph pulses. Keywords—Spiking neuron, Taste buds, Sensor
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