Simplification of synapse devices in cellular neural network

2016 
We are developing cellular neural networks using thin-film transistors (TFTs). Although simplification of the circuits for the neurons and synapses is also needed for the cellular neural network, the detailed discussion is not sufficient for the cellular neural network. Particularly in this study, we tried simplification of synapse devices. We used discrete trimmer resistors and capacitors for the synapse devices. Each of the synapse devices is the only one device, incredible simplification of synapse devices, and one of the kind of hardware simulation. We succeeded in realizing AND logic circuits with the simplification of the synapse devices in the cellular neural network. The results obtained from the discrete devices will suggest the future possibility of the cellular neural network using integrated thin-film devices.
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