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A Cortical Region Consisting Entirely of Face-Selective Cells
Open accessAbstract
Face perception is a skill crucial to primates. In both humans and macaque monkeys, functional magnetic resonance imaging (fMRI) reveals a system of cortical regions that show increased blood flow when the subject views images of faces, compared with images of objects. However, the stimulus selectivity of single neurons within these fMRI-identified regions has not been studied. We used fMRI to identify and target the largest face-selective region in two macaques for single-unit recording. Almost all (97%) of the visually responsive neurons in this region were strongly face selective, indicating that a dedicated cortical area exists to support face processing in the macaque.
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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
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Expertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418
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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
The Social Brain: Neural Basis of Social Knowledge
Adolphs, R. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163514 · Cited by 1,827
The fusiform face area: a cortical region specialized for the perception of faces
Kanwisher, N., & Yovel, G. (2006) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2006.1934 · Cited by 1,718
Consciousness, accessibility, and the mesh between psychology and neuroscience
Block, N. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07002786 · Cited by 1,146
Functional specificity in the human brain: a window into the functional architecture of the mind
Kanwisher, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005062107 · Cited by 929
(2016) · doi:10.3389/fpsyg · Cited by 801
Individual recognition: it is good to be different
Tibbetts, E. A., & Dale, J. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.09.001 · Cited by 779
Freiwald, W. A., & Tsao, D. Y. (2010) · Science · doi:10.1126/science.1194908 · Cited by 678
Self-citationThe Code for Facial Identity in the Primate Brain
Chang, L., & Tsao, D. Y. (2017) · Cell · doi:10.1016/j.cell.2017.05.011 · Cited by 644
Self-citationCognitive computational neuroscience
Kriegeskorte, N., & Douglas, P. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0210-5 · Cited by 535
Dehaene-Lambertz, G., Monzalvo, K., & Dehaene, S. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2004103 · Cited by 367
Human face recognition ability is specific and highly heritable
Wilmer, J. B., Germine, L., Chabris, C. F., Chatterjee, G., Williams, M., Loken, E., Nakayama, K., & Duchaine, B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913053107 · Cited by 396
Decoding Patterns of Human Brain Activity
Tong, F., & Pratte, M. S. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100412 · Cited by 375
Grid cells and cortical representation
Moser, E. I., Roudi, Y., Witter, M. P., Kentros, C., Bonhoeffer, T., & Moser, M.-B. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3766 · Cited by 335
The role of the striatum in social behavior
Báez-Mendoza, R., & Schultz, W. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00233 · Cited by 312
The Developmental Origins of Voice Processing in the Human Brain
Grossmann, T., Oberecker, R., Koch, S. P., & Friederici, A. D. (2010) · Neuron · doi:10.1016/j.neuron.2010.03.001 · Cited by 310
Progesterone selectively increases amygdala reactivity in women
van Wingen, G. A., van Broekhoven, F., Verkes, R. J., Petersson, K. M., Bäckström, T., Buitelaar, J. K., & Fernández, G. (2008) · Molecular Psychiatry · doi:10.1038/sj.mp.4002030 · Cited by 273
A specific and rapid neural signature for parental instinct
Kringelbach, M. L., Lehtonen, A., Squire, S., Harvey, A. G., Craske, M. G., Holliday, I. E., Green, A. L., Aziz, T. Z., Hansen, P. C., Cornelissen, P. L., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001664 · Cited by 262
Genetic origins of social networks in rhesus macaques
Brent, L. J. N., Heilbronner, S. R., Horvath, J. E., Gonzalez-Martinez, J., Ruiz-Lambides, A., Robinson, A. G., Skene, J. H. P., & Platt, M. L. (2013) · Scientific Reports · doi:10.1038/srep01042 · Cited by 220
Neural tuning and representational geometry
Kriegeskorte, N., & Wei, X.-X. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00502-3 · Cited by 187
The Kuleshov Effect: the influence of contextual framing on emotional attributions
Mobbs, D., Weiskopf, N., Lau, H. C., Featherstone, E., Dolan, R. J., & Frith, C. D. (2006) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsl014 · Cited by 178
High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy
Schwiedrzik, C. M., & Freiwald, W. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.007 · Cited by 136
Self-citationHiggins, I., Chang, L., Langston, V., Hassabis, D., Summerfield, C., Tsao, D., & Botvinick, M. (2021) · Nature Communications · doi:10.1038/s41467-021-26751-5 · Cited by 162
Self-citationDevelopmental neuroimaging of the human ventral visual cortex
Grill-Spector, K., Golarai, G., & Gabrieli, J. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.009 · Cited by 147
A new look at domain specificity: Insights from social neuroscience
Spunt, R. P., & Adolphs, R. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.76 · Cited by 149
Neuroethology of primate social behavior
Chang, S. W. C., Brent, L. J. N., Adams, G. K., Klein, J. T., Pearson, J. M., Watson, K. K., & Platt, M. L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301213110 · Cited by 157
Capturing specific abilities as a window into human individuality: The example of face recognition
Wilmer, J. B., Germine, L., Chabris, C. F., Chatterjee, G., Gerbasi, M., & Nakayama, K. (2012) · Cognitive Neuropsychology · doi:10.1080/02643294.2012.753433 · Cited by 140
The neuroethology of friendship
Brent, L. J. N., Chang, S. W. C., Gariépy, J., & Platt, M. L. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12315 · Cited by 138
Shared neural coding for social hierarchy and reward value in primate amygdala
Munuera, J., Rigotti, M., & Salzman, C. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0082-8 · Cited by 126
Incremental grouping of image elements in vision
Roelfsema, P. R., & Houtkamp, R. (2011) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-011-0200-0 · Cited by 112
Neural correlates of sparse coding and dimensionality reduction
Beyeler, M., Rounds, E. L., Carlson, K. D., Dutt, N., & Krichmar, J. L. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006908 · Cited by 104
Towards a Unified View on Pathways and Functions of Neural Recurrent Processing
Pennartz, C. M. A., Dora, S., Muckli, L., & Lorteije, J. A. M. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.07.005 · Cited by 73
Heterogeneous Single-Unit Selectivity in an fMRI-Defined Body-Selective Patch
Popivanov, I. D., Jastorff, J., Vanduffel, W., & Vogels, R. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2748-13.2014 · Cited by 90
Abstract representations emerge naturally in neural networks trained to perform multiple tasks
Johnston, W. J., & Fusi, S. (2023) · Nature Communications · doi:10.1038/s41467-023-36583-0 · Cited by 89
Perception science in the age of deep neural networks.
VanRullen, R. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00142 · Cited by 82
Hesse, J. K., & Tsao, D. Y. (2020) · eLife · doi:10.7554/elife.58360 · Cited by 78
Self-citationIssa, E. B., Cadieu, C. F., & DiCarlo, J. J. (2018) · eLife · doi:10.7554/elife.42870 · Cited by 76
Individual recognition and the ‘face inversion effect’ in medaka fish (Oryzias latipes)
Wang, M.-Y., & Takeuchi, H. (2017) · eLife · doi:10.7554/elife.24728 · Cited by 72
Face cells in orbitofrontal cortex represent social categories
Barat, E., Wirth, S., & Duhamel, J.-R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1806165115 · Cited by 58
Face Repetition Probability Does Not Affect Repetition Suppression in Macaque Inferotemporal Cortex
Vinken, K., Op de Beeck, H. P., & Vogels, R. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0462-18.2018 · Cited by 49
Visual discrimination of species in dogs (Canis familiaris)
Autier-Dérian, D., Deputte, B. L., Chalvet-Monfray, K., Coulon, M., & Mounier, L. (2013) · Animal Cognition · doi:10.1007/s10071-013-0600-8 · Cited by 49
Vishne, G., Gerber, E. M., Knight, R. T., & Deouell, L. Y. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112752 · Cited by 46
Huoviala, P., Dolan, M.-J., Love, F. M., Myers, P., Frechter, S., Namiki, S., Pettersson, L., Roberts, R. J. V., Turnbull, R., Mitrevica, Z., et al. (2018) · doi:10.1101/394403 · Cited by 43
Avarguès-Weber, A., d’Amaro, D., Metzler, M., Finke, V., Baracchi, D., & Dyer, A. G. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01313 · Cited by 41
Metadata
- Authors
- Tsao, D. Y., Freiwald, W. A., Tootell, R. B. H., & Livingstone, M. S.
- Venue
- Science
- Published
- 2006-02-03
- Volume
- 311
- Issue
- 5761
- Pages
- 670-674
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2005815123
- Cited by
- 1,141
- References
- 3
- FWCI
- 32.55
- Type
- journal article
- Language
- en
- Open access
- green
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