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Open AccessJournal ArticleDOI

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

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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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Journal ArticleDOI

A tutorial on capturing mental representations through drawing and crowd-sourced scoring.

TL;DR: A tutorial on modern methods for drawing experiments, ranging from how to quantify pen-and-paper type studies, up to how to administer a fully closed-loop online experiment, as well as key methodological points of consideration.
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Representational formats of human memory traces.

TL;DR: In this paper , the authors discuss how multivariate analysis techniques such as representational similarity analysis (RSA) and deep neural networks (DNNs) can be leveraged to gain insights into the structure of neural representations and their different representational formats.
Posted ContentDOI

Direct comparison of contralateral bias and face/scene selectivity in human occipitotemporal cortex

TL;DR: The authors measured fMRI responses to scene and face stimuli presented in the left or right visual field and computed two bias indices: a contralateral bias (response to the contral anterior minus ipsilateral visual field) and a face/scene bias (preferred response to scenes compared to faces, or vice versa).
Posted ContentDOI

Multidimensional topography of memory revealed from thousands of daily documented memories

Wilma A. Bainbridge, +1 more
- 02 Aug 2022 - 
TL;DR: In this paper , the authors examined the neural representations of episodic memory in a naturalistic setting, specifically focusing on the age, location, subjective memory strength, and emotional content of memories.
Book ChapterDOI

Effects of age on neural reinstatement during memory retrieval

TL;DR: This paper examined the effects of age on neural reinstatement and found that age-related reductions in reinstatement are largely attributable to reductions in the selectivity with which later remembered events were neurally represented as they were encoded.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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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