Global error signal guides local optimization in mismatch calculation.
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ABSTRACT: 1Corollary discharge denotes internal signals about the expected sensory consequences of one's own actions, leading to attenuation of sensory responses caused by self-produced stimulation. To investigate the underlying neural circuit mechanism, here we introduce a biologically plausible three-factor learning rule, where a global signal guides the updating of local inhibitory synapses to enable the computation of mismatch between a stimulus and its expectation or prediction. We show that our network model, endowed with positive and negative prediction error neurons, accounts for the salient physiological observations of motor-visual and motor-auditory mismatch responses in mice. Moreover, the model predicts that learning induces a bimodal distribution in activity correlation with stimulus a
SUBMITTER: Meng JH
PROVIDER: S-EPMC12265538 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature
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