Matches in SemOpenAlex for { <https://semopenalex.org/work/W3081068330> ?p ?o ?g. }
- W3081068330 abstract "Sensory systems constantly compare external sensory information with internally generated predictions. While neural hallmarks of prediction errors have been found throughout the brain, the circuit-level mechanisms that underlie their computation are still largely unknown. Here, we show that a well-orchestrated interplay of three interneuron types shapes the development and refinement of negative prediction-error neurons in a computational model of mouse primary visual cortex. By balancing excitation and inhibition in multiple pathways, experience-dependent inhibitory plasticity can generate different variants of prediction-error circuits, which can be distinguished by simulated optogenetic experiments. The experience-dependence of the model circuit is consistent with that of negative prediction-error circuits in layer 2/3 of mouse primary visual cortex. Our model makes a range of testable predictions that may shed light on the circuitry underlying the neural computation of prediction errors." @default.
- W3081068330 created "2020-09-01" @default.
- W3081068330 creator A5015039578 @default.
- W3081068330 creator A5038398183 @default.
- W3081068330 date "2020-08-21" @default.
- W3081068330 modified "2023-10-04" @default.
- W3081068330 title "Learning prediction error neurons in a canonical interneuron circuit" @default.
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- W3081068330 doi "https://doi.org/10.7554/elife.57541" @default.
- W3081068330 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7442488" @default.
- W3081068330 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32820723" @default.
- W3081068330 hasPublicationYear "2020" @default.
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