 Another source of difficulty for proponents of input-level modularity is neuroscientific evidence against the claim that perceptual and linguistic systems are strongly localized. Recall that for a system to be strongly localized, it must be realized in dedicated neural circuitry. Strong localization at the level of input systems, then, entails the existence of a one-to-one mapping between input systems and brain structures. As Anderson (2010, 2014) argues, however, there is no such mapping, since most cortical regions of any size are deployed in different tasks across different domains. For instance, activation of the fusiform face area, once thought to be dedicated to the perception of faces, is also recruited for the perception of cars and birds (Gauthier et al., 2000). Likewise, Broca’s area, once thought to be dedicated to speech production, also plays a role in action recognition, action sequencing, and motor imagery (Tettamanti &amp; Weniger, 2006). Functional neuroimaging studies generally suggest that cognitive systems are at best weakly localized, that is, implemented in distributed networks of the brain that overlap, rather than discrete and disjoint regions.