The Neural Basis of Vivid Memory Is Patterned on Perception

Author:

Buchsbaum Bradley R.1,Lemire-Rodger Sabrina1,Fang Candice1,Abdi Hervé2

Affiliation:

1. 1Rotman Research Institute, Baycrest Hospital

2. 2The University of Texas at Dallas

Abstract

Abstract When we have a rich and vivid memory for a past experience, it often feels like we are transported back in time to witness once again this event. Indeed, a perfect memory would exactly mimic the experiential quality of direct sensory perception. We used fMRI and multivoxel pattern analysis to map and quantify the similarity between patterns of activation evoked by direct perception of a diverse set of short video clips and the vivid remembering, with closed eyes, of these clips. We found that the patterns of distributed brain activation during vivid memory mimicked the patterns evoked during sensory perception. Using whole-brain patterns of activation evoked by perception of the videos, we were able to accurately classify brain patterns that were elicited when participants tried to vividly recall those same videos. A discriminant analysis of the activation patterns associated with each video revealed a high degree (explaining over 80% of the variance) of shared representational similarity between perception and memory. These results show that complex, multifeatured memory involves a partial reinstatement of the whole pattern of brain activity that is evoked during initial perception of the stimulus.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience

Reference56 articles.

1. Barycentric discriminant analysis (BADIA).;Abdi,2010

2. Congruence: Congruence coefficient, RV coefficient, and Mantel coefficient.;Abdi,2010

3. Multiple subject barycentric discriminant analysis (MUSUBADA): How to assign scans to categories without using spatial normalization.;Abdi;Computational and Mathematical Methods in Medicine,2012

4. STATIS and DISTATIS: Optimum multi-table principal component analysis and three-way metric multidimensional scaling.;Abdi;Wiley Interdisciplinary Reviews: Computational Statistics,2012

5. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain.;Avants;Medical Image Analysis,2008

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3