
A biologically plausible model for learning complex, non-Markovian sequences in recurrent networks of structured neurons, using a fully local, always-on plasticity rule that enables efficient and robust sequence learning.


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efficient-learning-of-sequences-in-structured-recurrent-networks-a-biologically-plausible-model-for-cortical-sequence-learning


Efficient Learning of Sequences in Structured Recurrent Networks: A Biologically Plausible Model for Cortical Sequence Learning
