The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Toward direct visualization of the internal shape representation space by fMRI
Open accessAbstract
Reports of columnar organization of the macaque inferotemporal cortex (Tanaka, 1992, 1993a) indicate that ensembles of cells responding to particular objects may be both sufficiently extensive and properly localized to allow their detection and discrimination by means of functional magnetic resonance imaging (fMRI). A recently developed theory of object representation by ensembles of coarsely tuned units (Edelman, 1998; Edelman & Duvdevani-Bar, 1997b) and its implementation as a computer model of recognition and categorization (Cutzu & Edelman, 1998; Edelman & Duvdevani-Bar, 1997a) provide a computational framework in which such findings can be interpreted in a straightforward fashion. Taken together, these developments in the study of object representation and recognition suggest that direct visualization of the internal representations may be easier than was previously thought. In this paper, we show how fMRI techniques can be used to investigate the internal representation of objects in the human visual cortex. Our initial results reveal that the activation of most voxels in object-related areas remains unaffected by a coarse scrambling of the natural images used as stimuli and that a map of the representation space of object categories in individual subjects can be derived from the distributed pattern of voxel activation in those areas.
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Citations
Cites
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Recognition-by-components: A theory of human image understanding.
Biederman, I. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.115 · Cited by 5,621
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
A neural basis for visual search in inferior temporal cortex
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (1993) · Nature · doi:10.1038/363345a0 · Cited by 1,114
Puce, A., Allison, T., Asgari, M., Gore, J. C., & McCarthy, G. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-16-05205.1996 · Cited by 987
Shape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
Cited by
Distributed and overlapping representations of faces and objects in ventral temporal cortex
Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001) · Science · doi:10.1126/science.1063736 · Cited by 3,940
Representational similarity analysis-connecting the branches of systems neuroscience
Kriegeskorte, N. (2008) · Frontiers in Systems Neuroscience · doi:10.3389/neuro.06.004.2008 · Cited by 3,355
Beyond mind-reading: multi-voxel pattern analysis of fMRI data
Norman, K. A., Polyn, S. M., Detre, G. J., & Haxby, J. V. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.07.005 · Cited by 2,271
Information-based functional brain mapping
Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600244103 · Cited by 2,113
Predicting Human Brain Activity Associated with the Meanings of Nouns
Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K.-M., Malave, V. L., Mason, R. A., & Just, M. A. (2008) · Science · doi:10.1126/science.1152876 · Cited by 1,180
Metadata
- Authors
- Edelman, S., Grill-Spector, K., Kushnir, T., & Malach, R.
- Venue
- Psychobiology
- Published
- 1998-12
- Volume
- 26
- Issue
- 4
- Pages
- 309-321
- ISSN
- 0889-6313 (ISSN-L)
- OpenAlex
- W769359332
- Cited by
- 168
- References
- 6
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- diamond
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.