Ontology highlight
ABSTRACT:
SUBMITTER: Saglietti L
PROVIDER: S-EPMC6227809 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature
Saglietti Luca L Gerace Federica F Ingrosso Alessandro A Baldassi Carlo C Zecchina Riccardo R
Interface focus 20181019 6
Stochastic neural networks are a prototypical computational device able to build a probabilistic representation of an ensemble of external stimuli. Building on the relationship between inference and learning, we derive a synaptic plasticity rule that relies only on delayed activity correlations, and that shows a number of remarkable features. Our <i>delayed-correlations matching</i> (DCM) rule satisfies some basic requirements for biological feasibility: finite and noisy afferent signals, Dale's ...[more]