, 1992a, 1992b, 1993). A dichotomy of learning mechanisms has also
been proposed (Adini et al., 2004): training under certain circumstances mainly enhances processing of sensory information in the visual cortex, which is less transferable between different stimuli; while training in other conditions mainly improves higher-order, cognitive functions such as decision making, which can be generalized to some untrained stimuli. When considering the unsettled issue on the exact cortical locus of the learning-induced changes, it is useful to take into account the fact that visual perception, as well as perceptual learning, is mediated by a chain of processes distributed see more across many cortical areas, including the visual cortex devoted to sensory processing,
the frontal-parietal cortex responsible for attentional control, and the executive neural network involved in perceptual decisions. Learning can influence which areas are engaged in a task (Chowdhury and DeAngelis, 2008; Sigman et al., 2005). After training monkeys in an oddball detection task, increased neuronal responsiveness in V1 was observed in association Staurosporine clinical trial with the animals’ familiarity with the target (Lee et al., 2002). Learning to search for a geometric shape within distracters causes a concomitant decrease in fMRI signals in higher visual areas responsible for shape processing (Figure 11; Sigman et al., 2005). Learning can therefore involve plasticity of representations in any area of the cerebral cortex, including primary sensory areas. The functional specialization of each area determines the extent to which plasticity in that area mediates the process of learning, but also representation of learned information can shift between areas as performance becomes more automatic. Though learning can involve encoding very different kinds of information according to the task involved, there may be a similarity in the circuit mechanisms involved in all forms of learning. According to this idea, each area has its own association field, linking elements of a sensory
or motor space via the horizontal connections, and different tasks involve recurrent signals that permit the expression of components of the association field that are required for performing all the task. Given the functional changes associated with perceptual learning and the ubiquity with which cortical areas represent learned information, there is increasing interest in the changes in cortical circuits that are responsible for encoding learned information. With the advent of two-photon microscopy, it is now possible to image the dynamics of axons and dendrites in the living brain for extended periods of time, both during development and in the adult (De Paola et al., 2006; Hofer et al., 2009; Majewska et al.
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