Constructing functional models from biophysically-detailed neurons
Fig 13
Mnemonic performance of the biologically-detailed cognitive network and the best fit exponential forgetting curve.
We trained the network show in Fig 12 using osNEF to produce a gated difference memory, as described in Sec 4.2 and Fig 10. Rather than average the error over time, as we did in the right panel of Fig 11, we plotted error (percentage of correct responses over 8 cue locations) as a function of time. We repeated this training and testing procedure for ten networks seeds, treating each network as an individual “participant” performing this task, then fit an exponential function to each network’s forgetting curve. From these fitted curves, we obtained parameters for baseline performance and performance half-life, which we compared with the empirical data shown in Fig 14.