400023"G Adaptive

Spiking Networks A subset of Adaptive Spiking Networks, 400023G consists of special neurons that have the ability to process certain signal inputs in a specific way. These neurons are capable of making decisions on patterns in the signal that are of importance for its applications. As the neurons become intelligent and form memories, they are able to more efficiently process inputs and adjust their behavior accordingly. At the core of 400023G lies a neuron population called "Latent Entropy Neurons". These neurons make use of acausal learning algorithms and perform unsupervised learning to enable them to recognize the pattern in the signal. Such neurons can then be used to develop networks capable of highly efficient decision-making, making it a great option for applications requiring robust and adaptive responses.