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The duality of temporal encoding - the intrinsic and extrinsic representation of time.

Golan R, Zakay D - Front Psychol (2015)

Bottom Line: We found a gradual increase in neural activation associated with the gradual increase in temporal variance within category selective areas.We concluded that temporal features are integral to perception and are simultaneously represented within category selective regions and globally within dedicated regions.Our second conclusion, drown from our covert procedure, is that time encoding, at its basic level, is an automated process that does not require attention allocated toward the temporal features nor does it require dedicated resources.

View Article: PubMed Central - PubMed

Affiliation: School of Psychological Sciences, Tel Aviv University Tel Aviv, Israel.

ABSTRACT
While time is well acknowledged for having a fundamental part in our perception, questions on how it is represented are still matters of great debate. One of the main issues in question is whether time is represented intrinsically at the neural level, or is it represented within dedicated brain regions. We used an fMRI block design to test if we can impose covert encoding of temporal features of faces and natural scenes stimuli within category selective neural populations by exposing subjects to four types of temporal variance, ranging from 0% up to 50% variance. We found a gradual increase in neural activation associated with the gradual increase in temporal variance within category selective areas. A second level analysis showed the same pattern of activations within known brain regions associated with time representation, such as the Cerebellum, the Caudate, and the Thalamus. We concluded that temporal features are integral to perception and are simultaneously represented within category selective regions and globally within dedicated regions. Our second conclusion, drown from our covert procedure, is that time encoding, at its basic level, is an automated process that does not require attention allocated toward the temporal features nor does it require dedicated resources.

No MeSH data available.


(A) Grand average of the mean percent signal change in rOFA for faces stimuli for all four conditions, showing no sensitivity to temporal manipulation. (B) Grand average of FIR event time courses extracted from the rOFA; (C) Grand average of Fitted event time courses extracted from the rOFA.
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Figure 6: (A) Grand average of the mean percent signal change in rOFA for faces stimuli for all four conditions, showing no sensitivity to temporal manipulation. (B) Grand average of FIR event time courses extracted from the rOFA; (C) Grand average of Fitted event time courses extracted from the rOFA.

Mentions: In contrast to the rFFA and rPPA, no effect was found in rOFA [F(3,152) = 0.114, p = 0.952] nor in rTOS [F(3,152) = 0.595, p = 0.62] (see Figures 6 and 7). Consequently no significant linear trend was found within these ROIs, i.e., rOFA – [t(152) = -0.37, p = 0.714]; rTOS – [t(152) = 0.45, p = 0.653].


The duality of temporal encoding - the intrinsic and extrinsic representation of time.

Golan R, Zakay D - Front Psychol (2015)

(A) Grand average of the mean percent signal change in rOFA for faces stimuli for all four conditions, showing no sensitivity to temporal manipulation. (B) Grand average of FIR event time courses extracted from the rOFA; (C) Grand average of Fitted event time courses extracted from the rOFA.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4553368&req=5

Figure 6: (A) Grand average of the mean percent signal change in rOFA for faces stimuli for all four conditions, showing no sensitivity to temporal manipulation. (B) Grand average of FIR event time courses extracted from the rOFA; (C) Grand average of Fitted event time courses extracted from the rOFA.
Mentions: In contrast to the rFFA and rPPA, no effect was found in rOFA [F(3,152) = 0.114, p = 0.952] nor in rTOS [F(3,152) = 0.595, p = 0.62] (see Figures 6 and 7). Consequently no significant linear trend was found within these ROIs, i.e., rOFA – [t(152) = -0.37, p = 0.714]; rTOS – [t(152) = 0.45, p = 0.653].

Bottom Line: We found a gradual increase in neural activation associated with the gradual increase in temporal variance within category selective areas.We concluded that temporal features are integral to perception and are simultaneously represented within category selective regions and globally within dedicated regions.Our second conclusion, drown from our covert procedure, is that time encoding, at its basic level, is an automated process that does not require attention allocated toward the temporal features nor does it require dedicated resources.

View Article: PubMed Central - PubMed

Affiliation: School of Psychological Sciences, Tel Aviv University Tel Aviv, Israel.

ABSTRACT
While time is well acknowledged for having a fundamental part in our perception, questions on how it is represented are still matters of great debate. One of the main issues in question is whether time is represented intrinsically at the neural level, or is it represented within dedicated brain regions. We used an fMRI block design to test if we can impose covert encoding of temporal features of faces and natural scenes stimuli within category selective neural populations by exposing subjects to four types of temporal variance, ranging from 0% up to 50% variance. We found a gradual increase in neural activation associated with the gradual increase in temporal variance within category selective areas. A second level analysis showed the same pattern of activations within known brain regions associated with time representation, such as the Cerebellum, the Caudate, and the Thalamus. We concluded that temporal features are integral to perception and are simultaneously represented within category selective regions and globally within dedicated regions. Our second conclusion, drown from our covert procedure, is that time encoding, at its basic level, is an automated process that does not require attention allocated toward the temporal features nor does it require dedicated resources.

No MeSH data available.