Sentence examples for neural account from inspiring English sources

Determining the factors that modulate the early access of abstract lexical representations is imperative for the formulation of a comprehensive neural account of visual-word identification.

The advantage of the neural account of human reasoning is that it covers features such as the surprise that accompanies the generation of new insights or the visual and auditory representations that contribute to it.

Here, we provide a connective neural account in the aim of accommodating the main principles of the DRC framework and to make predictions on reading skill.

Our findings offer a possible neural account for hitherto unexplained relationships that have been found between switch rate and the effects of psychiatric mood disorders, normal aging, or brain damage.

The relevance of these findings to conceptual models, as well as to neural accounts of visual WM, is discussed.

In a later section, we consider the role of abstract somatomotor representations in neural accounts of speech perception, a domain in which motor contributions are much debated.

In conclusion, our findings suggest that different neural accounts underlie different forms of RS in face-processing regions of occipitotemporal cortex.

Our findings of somatomotor representations of syllable identity can inform neural accounts of speech perception in which motor contributions are much debated (Lotto et al. 2009; Scott et al. 2009; Pulvermüller and Fadiga 2010).

This is to some extent consistent with analysis-by-synthesis proposed in motor theories of speech perception (Studdert-Kennedy et al. 1970; Liberman and Whalen 2000), and in more recent neural accounts (cf. Davis and Johnsrude 2007; Poeppel and Monahan 2011).

Two modifications of this simple feedforward neural network account for the growth of applications, such as facial recognition.

However, it remains unclear how the organization of their underlying neural principles account for these complex behaviors.