The human neocortex consists of six layers, each with a distinct anatomical connectivity and functionality.
This transformation may be a first computational step towards sound abstraction and perception, serving to form an increasingly more complex representation of the physical input. These results suggest that a relevant transformation in sound processing takes place between the thalamo-recipient middle PAC layers and superficial PAC. This indicates an increase in processing complexity in superficial PAC, which remains present throughout cortical depths in the non-primary auditory cortex. We observe that while BOLD responses in deep and middle PAC layers are equally well represented by a simple frequency model and a more complex spectrotemporal modulation model, responses in superficial PAC are better represented by the more complex model. Specifically, we compare the performance of computational models that represent different hypotheses on sound processing inside and outside the primary auditory cortex (PAC).
Here, we exploit the sensitivity and specificity of ultra-high field fMRI at 7 Tesla to investigate responses to natural sounds at deep, middle, and superficial cortical depths of the human auditory cortex. Their exploration in the human brain, however, has been severely restricted by the limited spatial resolution of non-invasive measurement techniques. The layers of the neocortex each have a unique anatomical connectivity and functional role.
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