Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
59 Simulating Hardware Neural Networks with Organic Memristors and Organic Field Effect Transistors
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Present day Artificial Neural Networks (ANNs) are emulated on serial computing machines, and as a result their ability to execute tasks requiring large computations in real time is severely limited. Here we propose a novel way of realizing a hardware neural network based on a minimal number of electrical elements per neuron. In its most basic form, our artificial neuron consists of a single transistor, one diode, two resistors, and, for a binary connection weight, one memristor per input. Via computer simulation, we show how this device architecture can exhibit simple neuronal behavior with an activation function that approximates a...