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Download - Berlin School of Mind and Brain

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Emiliano Zaccarella<br />

On the Nature <strong>of</strong> Merge: Neuroanatomical Correlates <strong>of</strong> Local Syntactic<br />

Structures in Natural Language Processing<br />

Probabilistic fiber tracking approaches to language-relevant areas have recently identified<br />

a dorsal stream going from pars opercularis (BA 44) to the posterior temporal cortex via<br />

the superior longitudinal fasciculus, <strong>and</strong> a more ventral stream going from the frontal<br />

operculum (FOC) to the anterior temporal cortex via the uncinate fasciculum. According<br />

to the ‘two-pathways’ model, it has been suggested that the former stream supports the<br />

processing <strong>of</strong> non-adjacent elements in hierarchically more complex sentences <strong>and</strong><br />

possibly the identification <strong>of</strong> the constituency structure, while the latter stream supports<br />

the combinations <strong>of</strong> adjacent elements in a sequence. Even though many studies contrast<br />

this view a direct comparison with the stimulus material so far employed will show that<br />

the model above is still adequate <strong>and</strong> preferable over alternative suggestions. A corrected<br />

set <strong>of</strong> stimuli for a following fMRI analysis will be finally discussed.<br />

Fern<strong>and</strong>o Ramirez<br />

Orientation Encoding in the FFA is Selective to Faces: Evidence from<br />

Multivoxal Pattern Analysis<br />

The fusiform face area (FFA) is a region <strong>of</strong> the human ventral visual pathway that exhibits<br />

a stronger response to faces than objects. The role <strong>of</strong> this region within the face perception<br />

network is not well understood, <strong>and</strong> its selectivity has been debated. Furthermore, it is<br />

unclear which properties <strong>of</strong> visual stimuli are reflected in the patterns <strong>of</strong> activation <strong>of</strong> this<br />

region. Here we directly explored the encoding <strong>of</strong> orientation using a combination <strong>of</strong> fMRI<br />

<strong>and</strong> multivoxel pattern analysis. We presented subjects with synthetic images <strong>of</strong> faces <strong>and</strong><br />

cars that were rotated in depth <strong>and</strong> presented either above or below fixation. We explored<br />

orientation related information available in fine-grained activity patterns in FFA <strong>and</strong> early<br />

visual cortex. Distributed signals from the FFA allowed above-chance classification <strong>of</strong><br />

within-category orientation only for faces. This result generalized to faces presented in<br />

different retinotopic positions. In contrast, classification in early visual cortex resulted in<br />

equal, above-chance classification <strong>of</strong> face <strong>and</strong> car orientation, but only when trained <strong>and</strong><br />

tested on corresponding retinotopic positions. Classification across position was<br />

substantially decreased for both categories in early visual cortex. We conclude that<br />

category-selective effects <strong>of</strong> stimulus orientation are reflected in the fine grained patterns<br />

<strong>of</strong> activation in FFA, <strong>and</strong> that the structure <strong>of</strong> these patterns is partially translation<br />

invariant.<br />

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