Neural plasticity has been invoked as a powerful argument against nativism. However, there is a line of argument, which is well exemplified by Pinker and more recently by Laurence and Margolis The conceptual mind: new directions in the study of concepts, MIT, Cambridge, 2015) with respect to concept nativism, according to which even extreme cases of plasticity show important innate constraints, so that one should rather speak of “constrained plasticity”. According to this view, cortical areas are not really equipotential, they (...) perform instead different kinds of computation, follow essentially different learning rules, or have a fixed internal structure acting as a filter for specific categories of inputs. We intend to analyze this argument, in the light of a review of current neuroscientific literature on plasticity. Our conclusion is that Laurence and Margolis are right in their appeal to innate constraints on connectivity—a thesis that is nowadays welcome to both nativists and non-nativists —but there is little support for their claim of further innate differentiation between and within cortical areas. As we will show, there is instead strong evidence that the cortex is characterized by the indefinite repetition of substantially identical computational units, giving rise in any of its portions to Hebbian, input-dependent plasticity. Although this is entirely compatible with the existence of innate constraints on the brain’s connectivity, the cerebral cortex architecture based on a multiplicity of maps correlating with one another has important computational consequences, a point that has been underestimated by traditional connectionist approaches. (shrink)

To make behavioral choices that are in line with our goals and our moral beliefs, we need to gather and consider information about our current situation. Most information present in our environment is not relevant to the choices we need or would want to make and thus could interfere with our ability to behave in ways that reflect our underlying values. Certain sources of information could even lead us to make choices we later regret, and thus it would be beneficial (...) to be able to ignore that information. Our ability to exert successful self-governance depends on our ability to attend to sources of information that we deem important to our decision-making processes. We generally assume that, at any moment, we have the ability to choose what we pay attention to. However, recent research indicates that what we pay attention to is influenced by our prior experiences, including reward history and past successes and failures, even when we are not aware of this history. Even momentary distractions can cause us to miss or discount information that should have a greater influence on our decisions given our values. Such biases in attention thus raise questions about the degree to which the choices that we make may be poorly informed and not truly reflect our ability to otherwise exert self-governance. (shrink)

According to the hierarchical model of sensory information processing, sensory inputs are transmitted to cortical areas, which are crucial for complex auditory and speech processing, only after being processed in subcortical areas (Hickok and Poeppel, 2007; Rauschecker and Scott, 2009). However, studies using electroencephalography (EEG) indicate that distinguishing simultaneous auditory inputs involves a widely distributed neural network, including the medial temporal lobe, which is essential for declarative memory, and posterior association cortices (Alain et al., 2001; Squire et al., 2004). More (...) recent studies have even demonstrated plasticity of auditory signals as low as the brainstem (Suga, 2008). Collectively, studies suggest that the functional architecture of perceptual processing involves primarily top-down modulation (Suga et al., 2002; Gilbert and Li, 2013; Chandrasekaran et al., 2014). Top-down influences exerted throughout the auditory systems (Lotto and Holt, 2011) include: memory (Goldinger, 1998)1, attention (Choi et al., 2014), which has been found to modulate auditory encoding in the cochlea, a subcortical area (Maison et al., 2001), (prior) knowledge of syntax or words (Ganong, 1980; Warren, 1984)2, and experience-based expectations pertaining to the speaker's accent (Deutsch, 1996; Deutsch et al., 2004; Irino and Patterson, 2006), gender (Johnson et al., 1999), and vocal folds or tract (Irino and Patterson, 2002; Patterson and Johnsrude, 2008) . (shrink)

The fundamental cognitive problem for active organisms is to decide what to do next in a changing environment. In this article, we analyze motor and action control in computational models that utilize reinforcement learning (RL) algorithms. In reinforcement learning, action control is governed by an action selection policy that maximizes the expected future reward in light of a predictive world model. In this paper we argue that RL provides a way to explicate the so-called action-oriented views of cognitive systems in (...) representational terms. (shrink)