The neocortex contains orderly topographic maps; however, their functional role remains controversial. Theoretical studies have suggested a role in minimizing computational costs, whereas empirical studies have focused on spatial localization. Using a tactile multiple-choice reaction time (RT) task before and after the induction of perceptual learning through repetitive sensory stimulation, we extend the framework of cortical topographies by demonstrating that the topographic arrangement of intracortical inhibition contributes to the speed of human perceptual decisionmaking processes. RTs differ among fingers, displaying an inverted U-shaped function. Simulations using neural fields show the inverted U-shaped RT distribution as an emergent consequence of lateral inhibition. Weakening inhibition through learning shortens RTs, which is modeled through topographically reorganized inhibition. Whereas changes in decision making are often regarded as an outcome of higher cortical areas, our data show that the spatial layout of interaction processes within representational maps contributes to selection and decisionmaking processes.computational neuroscience | plasticity | cortical reorganization T he mammalian neocortex contains orderly topographic maps of receptor surfaces that emerge early during ontogenetic development (1, 2). However, the functional meaning and relevance of the topographical arrangement are still debated (1-5). There is agreement that topographic mapping is instrumental in minimizing computational costs by keeping the length of axonal and dendritic wiring low, thereby contributing to the compactness of the neural circuitry (1, 6-8). On the other hand, experimental studies have focused on the extent and size of topographic maps, thereby exploring how and where physical stimuli and their attributes are localized and represented in the brain. Cortical lateral interaction seems to play a crucial role in the integration of information from remote skin portions, which is required for localization and discrimination (9-11), contour integration, as well as contextual influences by surrounding elements (12, 13). Accordingly, cortical processing is modulated by nonlinear interactions through range-dependent intracortical excitation and inhibition. The mean-field approach has been shown to provide an adequate and elegant way to model the collective properties of large numbers of interacting neurons (14-16).Decision making has been discussed in the context of contributions of frontal and prefrontal cortical areas (17)(18)(19)(20). Our study provides an extension of the framework of cortical topographies by demonstrating through a combination of psychophysics, plasticity, and modeling that the speed of perceptual decision making is modulated by the topographic layout of intracortical interactions within early sensory cortical areas. We used a tactile multiple-choice reaction time (RT) task that requires selecting a given finger out of all 10 fingers on both hands ( Fig. 1) (21). RTs strongly differ among indivi...