The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A Real-World Size Organization of Object Responses in Occipitotemporal Cortex
Open accessAbstract
SUMMARY While there are selective regions of occipito-temporal cortex that respond to faces, letters, and bodies, the large-scale neural organization of most object categories remains unknown. Here we find that object representations can be differentiated along the ventral temporal cortex by their real-world size. In a functional neuroimaging experiment, observers were shown pictures of big and small real-world objects (e.g. table, bathtub; paperclip, cup), presented at the same retinal size. We observed a consistent medial-to-lateral organization of big and small object preferences in the ventral temporal cortex, mirrored along the lateral surface. Regions in the lateral-occipital, infero-temporal, and parahippocampal cortices showed strong peaks of differential real-world size selectivity, and maintained these preferences over changes in retinal size and in mental imagery. These data demonstrate that the real-world size of objects can provide insight into the spatial topography of object representation.
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The Ecological Approach to Visual Perception
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The fusiform face area: a module in human extrastriate cortex specialized for face perception
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Natural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
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
A cortical area selective for visual processing of the human body
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Visual field maps in human cortex.
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“Object-responsive cortex anterior to early visual areas was originally thought to be nonretinotopic; however, there are nowmany well-documented retinotopic maps extending along dorsal and ventral streams (e.g., for reviews, see Wandell et al., 2007; Silver and Kastner, 2009).”
BackgroundTop-down activation of shape-specific population codes in visual cortex during mental imagery
Stokes, M., Thompson, R., Cusack, R., & Duncan, J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4657-08.2009 · Cited by 323
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Deep supervised, but not unsupervised, models may explain IT cortical representation
Khaligh-Razavi, S.-M., & Kriegeskorte, N. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003915 · Cited by 1,204
Knierim, J. J., Neunuebel, J. P., & Deshmukh, S. S. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0369 · Cited by 425
Recurrence is required to capture the representational dynamics of the human visual system
Kietzmann, T. C., Spoerer, C. J., Sörensen, L. K. A., Cichy, R. M., Hauk, O., & Kriegeskorte, N. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905544116 · Cited by 406
The Border Between Seeing and Thinking
Block, N. (2023) · doi:10.1093/oso/9780197622223.001.0001 · Cited by 367
Toward a brain-based componential semantic representation
Binder, J. R., Conant, L. L., Humphries, C. J., Fernandino, L., Simons, S. B., Aguilar, M., & Desai, R. H. (2016) · Cognitive Neuropsychology · doi:10.1080/02643294.2016.1147426 · Cited by 367
Metadata
- Authors
- Konkle, T., & Oliva, A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 74
- Issue
- 6
- Pages
- 1114-1124
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2115814872
- Cited by
- 458
- References
- 9
- FWCI
- 14.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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