The nature of repetitive learning and oblivion of memory enables humans to manage vast amounts of memory by prioritizing information for long-term storage. This paper presents an artificial synaptic array, which mimics the biological memorization process by replicating Ebbinghaus’ forgetting curve. To construct the artificial synaptic array, access transistors and synaptic memory transistors were designed using indium-gallium-zinc-oxide and poly(3-hexylthiophene), respectively. To secure the desired performance of the access transistor in regulating the input signal to the synaptic transistor, the content of gallium in the access transistor was optimized. We realized repetitive learning characterizing Ebbinghaus’ oblivion curves using an artificial synaptic array with optimized conditions for both transistor components. Furthermore, we were able to mimic selective attention for information prioritization in the human brain.