Fig. 2.

The biophysical network model predicts behavioral effects in multi-item visuo-spatial working memory (vsWM) tasks. A: memory bias as a function of angle between 2 items simultaneously presented. The results are averages over 100 simulations and are based on memory traces after 500 ms from stimulus offset. Memory biases toward the other presented item (attraction) were defined as positive, while biases away from the other presented item (repulsion) were defined as negative. The bias for small angles is easier to explore experimentally and leads to the formulation of the prediction of attraction biases. B: standard deviation error of the memory trace after 500 ms as a function of load. The standard deviation error was relatively constant for far items and increased with load for randomly located items, leading to the prediction of conditional dependence of precision on load. C: proportion of probes judged to be displaced counterclockwise from the memorized item. The results are for far items and loads 3 and 4 and were fitted with a probit model with displacement of the probe as independent variable. D: same as C but for randomly located items. C and D use the same simulations as in B and show that for far items there is no decrease in precision with load, which is observed for randomly located items. This observation also leads to the prediction of conditional dependence of precision on load.