Inactivation and re-learning analysis for a network trained with biologically plausible learning. a, Mean output throughout time, stratified by motion coherence indicates that the network successfully implements bounded integration of its inputs. b, Psychometric function after training (gray), after a 40% inactivation (left, yellow), and a 75% inactivation (right, purple) without re-learning. c, Chronometric function after training (gray), after a 40% inactivation (top, yellow), and a 75% inactivation (bottom, purple) without re-learning. d, Mean decision time for a 40% (yellow) and 75% (purple) inactivation throughout retraining, compared to the asymptotic mean decision time prior to inactivation (gray). e, Percent correct for a 40% inactivation (yellow) and 75% inactivation (purple) throughout retraining, compared to the percent correct through the original training. Error bars indicate ±1 s.e.m. across 1,000 test trials for (b) and (c), across 10 simulated networks for (d) and (e).