Topic: plasticity rule

Intelligent behavior depends on the brain’s ability to anticipate future events. Experimental evidence shows reliable temporal sequences in the neural activity, suggesting a functional role of sequences for the association and subsequent anticipation of events in time. However, how neurons can predict temporal patterns and fire ahead of sensory inputs remains largely unknown. We propose a plasticity rule based on predictive processing, where neurons learn a low-rank model of the synaptic input dynamics in their membrane potential. Neurons thereby amplify those synapses that maximally predict o