Heterogeneous prediction-error circuits formed and shaped by homeostatic inhibitory plasticity
Loreen Hertäg,Claudia Clopath · COSYNE 2022
The remarkable ability of neural networks to make predictions about the immediate future and recognize unexpected events is a ubiquitous hallmark of intelligent life. In recent years, researchers have begun to unravel the neural substrates underlying this predictive information processing [1]. An integral part of predictive processing is a subset of excitatory neurons that encode prediction errors: while negative prediction-error (nPE) neurons are only activated when sensory signals are weaker than predicted, positive prediction-error (pPE) neurons respond only when sensory signals exceed the
Thu, Mar 17, 2022