“…For instance, Law and Gold (2008) found that there were no changes in the firing rates of MT neurons after training monkeys on a motion discrimination task that varied both motion direction and motion coherence (Figure 5a), but there were changes in the firing rates of the neurons in lateral intraparietal area (LIP), an area implicated in accumulating sensory evidence during decision making (Figure 5b; Law & Gold, 2008; 2009). The authors conclude that learning results from a change in read-out of the most informative sensory neurons and that these read-out changes are driven by feedback, which guides the selective enhancement of the connections between the most sensitive populations in MT and LIP in order to optimize performance (Law & Gold, 2009; 2010). This model is akin to similar proposals in the attention literature (Eckstein et al, 2000; Palmer & Moore, 2009; Palmer, Verghese, & Pavel, 2000; Pestilli et al, 2011), in which responses from the most sensitive sensory neurons are pooled and responses from uninformative sensory neurons are filtered out, leading to overall improvements in the ability to discriminate target features from distracters (Gold, Law, & Bennur, 2010; Palmer and Moore, 2009; Pestilli et al, 2011).…”