Invariant visual representation by single neurons in the human brain
Open accessAbstract
It takes a fraction of a second to recognize a person or an object even when seen under strikingly different conditions. How such a robust, high-level representation is achieved by neurons in the human brain is still unclear. In monkeys, neurons in the upper stages of the ventral visual pathway respond to complex images such as faces and objects and show some degree of invariance to metric properties such as the stimulus size, position and viewing angle. We have previously shown that neurons in the human medial temporal lobe (MTL) fire selectively to images of faces, animals, objects or scenes. Here we report on a remarkable subset of MTL neurons that are selectively activated by strikingly different pictures of given individuals, landmarks or objects and in some cases even by letter strings with their names. These results suggest an invariant, sparse and explicit code, which might be important in the transformation of complex visual percepts into long-term and more abstract memories.
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Human concept cells seem to encode a stable representation of a specific person or landmark, regardless of size or viewing angle, providing sparse codes for visually invariant abstractions related to personal events.
“Human 'concept cells' seem to encode a stable representation of a specific person or landmark, regardless of size or viewing angle 104,105 , providing sparse codes [G] for visually invariant abstractions related to personal events 106 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [104]
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“Evidence for invariant neural representations comes from the ventral temporal lobe (Haxby et al., 2001), the hippocampus in humans (Quiroga et al., 2005), inferotemporal cortex of rhesus (Desimone et al., 1984; Logothetis et al., 1995) and macaque monkeys (Freiwald and Tsao, 2010) as well as rats’…”
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Transient localist representations in critical branching networks
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Neural circuits for valence updating in social memory
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Dramatic changes to well-known places go unnoticed
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- Authors
- Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I.
- Affiliations
- California Institute of Technology (US)
- Massachusetts Institute of Technology (US)
- University of California, Los Angeles (US)
- Corresponding author
- Quiroga, R. Quian
- Venue
- Nature
- Published
- 2005-06
- Volume
- 435
- Issue
- 7045
- Pages
- 1102-1107
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2101295242
- Cited by
- 1,988
- References
- 31
- Citations by year
- 2026: 72 · 2025: 125 · 2024: 92 · 2023: 111 · 2022: 126 · 2021: 97 · 2020: 105 · 2019: 186 · 2018: 92 · 2017: 80 · 2016: 82 · 2015: 85 · 2014: 82 · 2013: 89 · 2012: 89
- FWCI
- 31.44
- Type
- journal article
- Language
- en
- Open access
- green
- nrs.harvard.edu
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Leicester Research Archive (University of Leicester) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- single neuron responses, medial temporal lobe, face recognition (cognition), object recognition, drug-resistant epilepsy, depth electrodes, visual memory, sparse coding, long-term memory
- MeSH terms
- Adolescent, Adult, Brain, Face, Female, Hippocampus, Humans, Male, Memory, Middle Aged, Models, Neurological, Neurons, Pattern Recognition, Visual, ROC Curve, Substrate Specificity, Temporal Lobe
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