TY - JOUR TI - Learning prediction error neurons in a canonical interneuron circuit AU - Hertäg, Loreen AU - Sprekeler, Henning A2 - Ostojic, Srdjan A2 - Ivry, Richard B A2 - Ostojic, Srdjan VL - 9 PY - 2020 DA - 2020/08/21 SP - e57541 C1 - eLife 2020;9:e57541 DO - 10.7554/eLife.57541 UR - https://doi.org/10.7554/eLife.57541 AB - 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. KW - predictive processing KW - prediction-error neurons KW - neural circuits KW - sensorimotor processing KW - visual system KW - synaptic plasticity JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -