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We show a neural network at the device level that uses a simplified architecture and thin-film transistors (TFTs). First, we form a neuron unit from eight transistors and reduce the synapse unit to only one transistor by employing characteristic variations of the synapse transistors to adjust the connection strength. Second, we compose a “local interconnective neural network” that is optimal for integrated...