Increasing the memory capacity of intelligent systems based on the function of human neurons

Researchers from the University of Liège (Belgium) have recently developed a new artificial neuron inspired by the different modes of operation of human neurons. Called a Bistable Recurrent Cell (BRC), this process has enabled recurrent networks to learn temporal relationships of more than a thousand discrete time units where classical methods failed after only a hundred time units. These important results are published in the journal PLOS ONE.

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