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Open AccessJournal ArticleDOI

Distinct Representational Structure and Localization for Visual Encoding and Recall during Visual Imagery.

TLDR
Using ultra-high-field functional magnetic resonance imaging with an item-based visual recall task, an in-depth comparison of encoding and recall along a spectrum of granularity is conducted, suggesting visual recall is not merely a reactivation of encoding patterns, displaying a different representational structure and localization from encoding, despite some overlap.
Abstract
During memory recall and visual imagery, reinstatement is thought to occur as an echoing of the neural patterns during encoding. However, the precise information in these recall traces is relatively unknown, with previous work primarily investigating either broad distinctions or specific images, rarely bridging these levels of information. Using ultra-high-field (7T) functional magnetic resonance imaging with an item-based visual recall task, we conducted an in-depth comparison of encoding and recall along a spectrum of granularity, from coarse (scenes, objects) to mid (e.g., natural, manmade scenes) to fine (e.g., living room, cupcake) levels. In the scanner, participants viewed a trial-unique item, and after a distractor task, visually imagined the initial item. During encoding, we observed decodable information at all levels of granularity in category-selective visual cortex. In contrast, information during recall was primarily at the coarse level with fine-level information in some areas; there was no evidence of mid-level information. A closer look revealed segregation between voxels showing the strongest effects during encoding and those during recall, and peaks of encoding-recall similarity extended anterior to category-selective cortex. Collectively, these results suggest visual recall is not merely a reactivation of encoding patterns, displaying a different representational structure and localization from encoding, despite some overlap.

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Citations
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Posted ContentDOI

Distributed cortical regions for the recall of people, places and objects

TL;DR: Results demonstrate that while there are distributed regions active during recall of people, places and objects, the functional organization of MPC does not mirror the medial-lateral axis of VTC but reflects only the most salient features of that axis - namely representations of people and places.
Journal ArticleDOI

Neural similarity between overlapping events at learning differentially affects reinstatement across the cortex

TL;DR: The authors used multivoxel pattern similarity analysis (MVPA) of fMRI data and neural-network analysis of visual similarity to examine how highly overlapping naturalistic events are encoded in patterns of cortical activity, and how the degree of differentiation versus integration at encoding affects later retrieval.
Journal ArticleDOI

Reinstating location improves mnemonic access but not fidelity of visual mental representations

TL;DR: In this article , the authors investigated how manipulation of location at recall (i.e., corresponding vs. non-corresponding to the location where the object was previously encoded) affected mnemonic access and color information in 100 participants with a within-subjects design.
Posted ContentDOI

Covariance-based decoding reveals content-specific feature integration and top-down processing during visual imagery

TL;DR: It is suggested that the successful application of covariance-based connectivity decoding to visual imagery paves the way for future applications to internally driven cognitive processes such as visual attention, visual working memory and visual prediction.
References
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Journal ArticleDOI

AFNI: software for analysis and visualization of functional magnetic resonance neuroimages

TL;DR: A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described and techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described.
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Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

TL;DR: The account presented here suggests that memories are first stored via synaptic changes in the hippocampal system, that these changes support reinstatement of recent memories in the neocortex, that neocortical synapses change a little on each reinstatement, and that remote memory is based on accumulated neocorticals changes.
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A cortical representation of the local visual environment

TL;DR: Evidence is presented that a particular area within human parahippocampal cortex is involved in a critical component of navigation: perceiving the local visual environment, and it is proposed that the PPA represents places by encoding the geometry of the local environment.
Journal ArticleDOI

Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience

TL;DR: A new experimental and data-analytical framework called representational similarity analysis (RSA) is proposed, in which multi-channel measures of neural activity are quantitatively related to each other and to computational theory and behavior by comparing RDMs.
Journal ArticleDOI

The lateral occipital complex and its role in object recognition.

TL;DR: Overall, these results indicate that the lateral occipital complex plays an important role in human object recognition.
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