Study on simplification of processing elements in neural networks using circuit simulation

We are developing cellular neural networks using thin-film transistors (TFTs). Although simplification of the processing elements such as neurons and synapses is also needed for the cellular neural network, it is difficult and time-consuming to fabricate and evaluate actual devices. Therefore, we are studying the simplification of the processing elements in the neural networks by using circuit simulation. We confirmed that the neuron can be realized only using a 2-inverter and 2 switch circuit, and the synapse can be realized only using a resister. These results indicate a future possibility for ultra-large scale integrated brain chips for artificial intelligences.