Sentence examples for familiarity processing from inspiring English sources

Exact(6)

Both intervals were behind the initiation (270 ms) of face familiarity processing.

They are also associated with different amplitudes within the time interval between 300 and 1000 ms post face stimulus, after the initiation (270 ms) of face familiarity processing.

We hypothesized that lie and truth conditions were associated with different fMRI activation in the ventrolateral, dorsolateral, and dorsal medial-frontal cortices; premotor cortex, and inferior parietal gyrus and were also associated with different amplitudes within the time interval between 300 ms and 1000 ms post face stimulus after the initiation of face familiarity processing.

Auditory cortex functional connectivity with cerebral regions known to be implicated in tempo and familiarity processing were identified only for preterm infants with music training in the NICU.

In fMRI studies, perceiving experimentally learned faces activates the precuneus, supporting its role in familiarity processing, long-term memory retrieval and imagery [2], [7].

Thus, the neuroimaging data using measurements of recollection and familiarity do not support a clean functional dissociation between recollective processing in the hippocampal region and familiarity processing in the structures of the parahippocampal gyrus.

Similar(54)

Instead, our results suggest that visual familiarity, phonological processing, and semantic processing all make significant but different contributions to shaping the fusiform activation.

This component is interesting because it is thought to underlie familiarity based processing in dual-process theories of recognition memory [19], [20].

We do not argue that processing voice familiarity is a purely semantic capacity: analogously with familiarity for other kinds of stimuli, voice familiarity may also have perceptual, affective and executive dimensions (Gainotti, 2007; Lucchelli and Spinnler, 2008).

Furthermore, the ability to identify personally familiar information is essential for daily functioning and creating autobiographical context, which is supported by the overlapping neural networks underlying personal familiarity and autobiographical memory processing [1], [15], [27].

Intuitive to use and customizable to individual needs, it combines the power of Intel Core i5 processing with the familiarity of Windows 7, and is destined to change how people use technology to engage with the world.

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