“…Indeed, increasing evidence has shown that this robust representation in higher-level cortex is useful particularly under high memory loads (Christophel et al, 2017;Linden et al, 2003;Xu & Chun, 2006), or during interference (Bettencourt & Xu, 2016). This is possibly because when storing precise, detailed information in VWM becomes (Panichello et al, 2019), but also in primates (Freedman et al, 2001, Panichello et al, 2019 and corvid (Apostel et al, 2023). The attractor dynamics model (Almeida et al, 2015;Panichello et al, 2019) suggests that as memory load increases, internal noise of memory errors (or "random diffusion") increases, while VWM is more biased towards certain nearby locations (or "attractors"), such as color prototypes (Bae et al, 2015;Zhou et al, 2021) and cardinal orientations (Bae, 2021).…”