A columnar spiking neural network with local learning rules reaches 92% average accuracy and about 4% forgetting on ten permuted-MNIST tasks, but only when tasks share no features.
Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions
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Continual Learning with Columnar Spiking Neural Networks
A columnar spiking neural network with local learning rules reaches 92% average accuracy and about 4% forgetting on ten permuted-MNIST tasks, but only when tasks share no features.