Decoding the visual and subjective contents of the human brain
The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic re...
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| Published in | Nature neuroscience Vol. 8; no. 5; pp. 679 - 685 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.05.2005
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1097-6256 1546-1726 |
| DOI | 10.1038/nn1444 |
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| Abstract | The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity toward the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents. |
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| AbstractList | The potential for human neuroimaging to read-out the detailed contents of a person’s mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity towards the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents. The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity toward the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents.The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity toward the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents. The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity toward the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents. |
| Audience | Academic |
| Author | Tong, Frank Kamitani, Yukiyasu |
| Author_xml | – sequence: 1 givenname: Yukiyasu surname: Kamitani fullname: Kamitani, Yukiyasu email: kmtn@atr.jp organization: ATR Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Keihanna Science City – sequence: 2 givenname: Frank surname: Tong fullname: Tong, Frank organization: Psychology Department, Princeton University, Green Hall, Psychology Department, Vanderbilt University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15852014$$D View this record in MEDLINE/PubMed |
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| CODEN | NANEFN |
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| Snippet | The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the... The potential for human neuroimaging to read-out the detailed contents of a person’s mental state has yet to be fully explored. We investigated whether the... |
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| SubjectTerms | Adult Algorithms Animal Genetics and Genomics Attention - physiology Behavioral Sciences Biological Techniques Biomedical and Life Sciences Biomedicine Brain Brain Mapping - methods Cognition - physiology Evoked Potentials, Visual - physiology Humans Magnetic Resonance Imaging - methods Medical examination Models, Neurological Neural networks Neurobiology Neurosciences Orientation - physiology Pattern Recognition, Visual - physiology Photic Stimulation Physiological aspects Visual Cortex - anatomy & histology Visual Cortex - physiology Visual Pathways - physiology Visual perception Visual Perception - physiology |
| Title | Decoding the visual and subjective contents of the human brain |
| URI | https://link.springer.com/article/10.1038/nn1444 https://www.ncbi.nlm.nih.gov/pubmed/15852014 https://www.proquest.com/docview/274601650 https://www.proquest.com/docview/17872555 https://www.proquest.com/docview/67786364 https://pubmed.ncbi.nlm.nih.gov/PMC1808230 |
| Volume | 8 |
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