Two Transistors Mimic Neurons, Promising Breakthrough in Neural Networks
Researchers have developed a novel device that mimics both neurons and synapses using just two standard CMOS transistors. By controlling the gate voltage, the device can switch between an off state and mimicking neuronal activity with adjustable spiking frequency, and can use spikes to adjust the weights of different inputs. It can function as an artificial synapse with six or more weight levels, and when combined with a second transistor, it can act as a neuron, integrating inputs to influence the frequency of output spikes (varying by a factor of 1000). This stable behavior (over 10 million clock cycles) offers a highly efficient and cost-effective design, potentially significantly reducing the energy consumption and cost of neural networks and accelerating AI advancements.
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