Filters








176 Hits in 5.5 sec

A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes

Thomas Naselaris, Cheryl A. Olman, Dustin E. Stansbury, Kamil Ugurbil, Jack L. Gallant
2015 NeuroImage  
We have tested this basic prediction by using a voxel-wise encoding model for early visual areas to decode mental images of remembered scenes.  ...  Three key innovations were deployed: a voxel-wise encoding model, the use of complex scenes as targets for mental imagery, and a voxel-selection procedure that depends upon tuning to lowlevel visual features  ... 
doi:10.1016/j.neuroimage.2014.10.018 pmid:25451480 pmcid:PMC4364759 fatcat:zplimsnbpbb3dmwd7ksd2jqv6y

特集:MRIによる視覚研究 fMRIによる視覚体験の可視化
Visualizing visual experience using fMRI

Shinji Nishimoto
2015 Japanese Journal of Visual Science  
Recent advances in non-invasive brain activity measurement technologies and quantitative analysis techniques have enabled quantitative modeling and decoding of human visual representation.  ...  Here I review the trends and technical aspects related to decoding human visual experiences using functional MRI.  ...  Neuroimage 56: 400-410, 2011. 11) Naselaris T, Olman CA et al: A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes.  ... 
doi:10.11432/jpnjvissci.36.56 fatcat:hlafg4h6trcjbpau2aurvccbk4

Quantitative Understanding of How the Brain sees the World : Present Status and Future Outlook

Shinji Nishimoto, Ryohei Fukuma, Takufumi Yanagisawa, Haruhiko Kishima
2018 Japanese Journal of Neurosurgery  
Neuroimage 56:400-410, 2011. 12) Naselaris T, Olman CA, Stansbury DE, Ugurbil K, Gallant JL:A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes.  ...  of pycortex snapshots showing voxel wise semantic selectivity By clicking a brain region, users can examine the functional selectivity for the voxel.  ... 
doi:10.7887/jcns.27.896 fatcat:h5pgnof5ezhfzpr3ghzl2fr5rm

Distributed Representations in Memory: Insights from Functional Brain Imaging

Jesse Rissman, Anthony D. Wagner
2012 Annual Review of Psychology  
Forging new memories for facts and events, holding critical details in mind on a moment-to-moment basis, and retrieving knowledge in the service of current goals all depend on a complex interplay between  ...  imaging activity patterns.  ...  In the first, Kay and colleagues (2008) developed a predictive model of early visual encoding based on extant evidence that early visual areas represent at least three lowlevel visual dimensions-spatial  ... 
doi:10.1146/annurev-psych-120710-100344 pmid:21943171 pmcid:PMC4533899 fatcat:5efrqplohfatrmu2zvarkhutq4

Distillation of Regional Activity Reveals Hidden Content of Neural Information in Visual Processing

Trung Quang Pham, Shota Nishiyama, Norihiro Sadato, Junichi Chikazoe
2021 Frontiers in Human Neuroscience  
Multivoxel pattern analysis (MVPA) has become a standard tool for decoding mental states from brain activity patterns.  ...  By applying a similar region-to-region decoding technique, we examined whether the information represented in the visual areas can be explained by those represented in the other visual areas.  ...  A., Stansbury, D. E., Ugurbil, K., and Gallant, J. L. (2015). A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes.  ... 
doi:10.3389/fnhum.2021.777464 pmid:34903962 pmcid:PMC8664645 fatcat:kqylibmrubbu5anlujkbu7jquy

Deep image reconstruction from human brain activity

Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani, Jill O'Reilly
2019 PLoS Computational Biology  
(DNN) for the same input image, providing a way to make use of the information from hierarchical visual features.  ...  The mental contents of perception and imagery are thought to be encoded in hierarchical representations in the brain, but previous attempts to visualize perceptual contents have failed to capitalize on  ...  Acknowledgments The authors thank Mitsuaki Tsukamoto, and Hiroaki Yamane for help with data collection, and Mohamed Abdelhack and Karl Embleton from Edanz Group (www.edanzediting.com/ac) for the comments  ... 
doi:10.1371/journal.pcbi.1006633 pmid:30640910 pmcid:PMC6347330 fatcat:ra6enpu3d5a2hlqlfggs4ookga

Mental Imagery: Functional Mechanisms and Clinical Applications

Joel Pearson, Thomas Naselaris, Emily A. Holmes, Stephen M. Kosslyn
2015 Trends in Cognitive Sciences  
Disclaimer Statement The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.  ...  Funding to pay the Open Access publication charges for this article was provided by the United Kingdom Medical Research Council.  ...  To our knowledge this explicit modeling approachknown as voxel-wise modeling and decoding (VM)was first applied to mental imagery in 2006 [18] .  ... 
doi:10.1016/j.tics.2015.08.003 pmid:26412097 pmcid:PMC4595480 fatcat:tjkzli5pqfe5rf546gyigpbjta

Lower Parietal Encoding Activation Is Associated with Sharper Information and Better Memory

Hongmi Lee, Marvin M. Chun, Brice A. Kuhl
2016 Cerebral Cortex  
This dissociation reflected a tendency for univariate reductions to maximally occur in voxels that were not strongly tuned for the category of encoded stimuli.  ...  For each encoding trial, we measured 1) mean univariate activation within vPPC and 2) the strength of face/scene information as indexed by pattern analysis.  ...  Funding This work was supported by a Doctoral Study Abroad Fellowship from the Korea Foundation for Advanced Studies to H.L. Notes Conflict of Interest: None declared.  ... 
doi:10.1093/cercor/bhw097 pmid:27102656 fatcat:mdixp3rewravlfrfid6jjn3zh4

Generic decoding of seen and imagined objects using hierarchical visual features

Tomoyasu Horikawa, Yukiyasu Kamitani
2017 Nature Communications  
lower-/higher-level visual areas, respectively.  ...  Predicted features are used to identify seen/imagined object categories (extending beyond decoder training) from a set of computed features for numerous object images.  ...  implementing codes for generating preferred images.  ... 
doi:10.1038/ncomms15037 pmid:28530228 pmcid:PMC5458127 fatcat:ayvrlqxlp5ck7icjbdd4itudxy

Evidence for the incorporation of temporal duration information in human hippocampal long-term memory sequence representations

Sathesan Thavabalasingam, Edward B. O'Neil, Jonathan Tay, Adrian Nestor, Andy C. H. Lee
2019 Proceedings of the National Academy of Sciences of the United States of America  
Notably, while rodent hippocampal neurons, including populations in subfield CA1, have been shown to represent the passage of time in the order of seconds between events, there is limited support for a  ...  During fMRI, participants then completed a recognition memory task, as well as a recall phase in which they were required to mentally replay each sequence in as much detail as possible.  ...  We thank all participants for their time and Joy Williams for assisting with data collection at the York MRI Facility.  ... 
doi:10.1073/pnas.1819993116 fatcat:hhjw252aljhhfaa5kw6lf4gb2e

Generic decoding of seen and imagined objects using hierarchical visual features [article]

Tomoyasu Horikawa, Yukiyasu Kamitani
2016 arXiv   pre-print
Predicted features are used to identify seen/imagined object categories (extending beyond decoder training) from a set of computed features for numerous object images.  ...  visual areas, respectively.  ...  They used a database of visual images and the predicted brain activities produced by an encoding model.  ... 
arXiv:1510.06479v3 fatcat:qrv4jxssszgbnef7xzv4utrvwa

Feature-Specific Neural Reactivation during Episodic Memory [article]

Michael B Bone, Fahad Ahmad, Bradley R Buchsbaum
2019 bioRxiv   pre-print
Here we present a novel approach, feature-specific informational connectivity (FSIC), that leverages hierarchical representations of image stimuli derived from a deep convolutional neural network to decode  ...  In addition to demonstrating the utility of FSIC for mapping feature-specific reactivation, these findings resolve the relative contributions of low- and high-level features to the vividness of visual  ...  in early visual areas.  ... 
doi:10.1101/622837 fatcat:harjkkshdzcznckvwfz37mqxcm

Deep image reconstruction from human brain activity [article]

Guohua Shen, Tomoyasu Horikawa, Kei Majima, Yukiyasu Kamitani
2017 bioRxiv   pre-print
Recent work showed that visual cortical activity can be decoded (translated) into hierarchical features of a deep neural network (DNN) for the same input image, providing a way to make use of the information  ...  Here, we present a novel image reconstruction method, in which the pixel values of an image are optimized to make its DNN features similar to those decoded from human brain activity at multiple layers.  ...  Council for Science, Technology and Innovation (Cabinet Office, Government of Japan).  ... 
doi:10.1101/240317 fatcat:voovfvjmsra5voyiq2bv576k2m

Behavior-dependent directional tuning in the human visual-navigation network

Matthias Nau, Tobias Navarro Schröder, Markus Frey, Christian F. Doeller
2020 Nature Communications  
To examine these processes, we combined 7T-fMRI with a kernel-based encoding model of virtual navigation to map world-centered directional tuning across the human cortex.  ...  First, we present an in-depth analysis of directional tuning in visual, retrosplenial, parahippocampal and medial temporal cortices.  ...  This code can be easily adapted for new analyses and makes use of the virtual navigation data of a sample participant. Source data are provided with this paper.  ... 
doi:10.1038/s41467-020-17000-2 pmid:32591544 fatcat:o7fwiih2hraupjkeh4ij3qfupu

What does semantic tiling of the cortex tell us about semantics?

Lawrence W. Barsalou
2017 Neuropsychologia  
Recent use of voxel-wise modeling in cognitive neuroscience suggests that semantic maps tile the cortex.  ...  While mapping concepts between Marr's computational and implementation levels to support neural encoding and decoding, this approach ignores Marr's algorithmic level, central for understanding the mechanisms  ...  In the process, I more generally examine the contributions of research in voxel-wise modeling and multi-voxel pattern analysis (MVPA) associated with neural encoding and decoding.  ... 
doi:10.1016/j.neuropsychologia.2017.04.011 pmid:28396096 fatcat:qu3dszbw45eshhrg3boecie3bq
« Previous Showing results 1 — 15 out of 176 results