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Concept cells: the building blocks of declarative memory functions
Abstract
Intracranial recordings in subjects suffering from intractable epilepsy - made during their evaluation for an eventual surgical removal of the epileptic focus - have allowed the extraordinary opportunity to study the firing of multiple single neurons in awake and behaving human subjects. These studies have shown that neurons in the human medial temporal lobe respond in a remarkably selective and abstract manner to particular persons or objects, such as Jennifer Aniston, Luke Skywalker or the Tower of Pisa. These neurons have been named 'Jennifer Aniston neurons' or, more recently, 'concept cells'. I argue that the sparse, explicit and abstract representation of these neurons is crucial for memory functions, such as the creation of associations and the transition between related concepts that leads to episodic memories and the flow of consciousness.
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“We propose that neonatal bulbar neurogenesis may represent an early developmental mechanism contributing to the formation of such representations.”
From Positive early-life olfactory memory is rooted in the olfactory bulb and triggers large-scale changes beyond the olfactory system (2026) · cites this paper as [66]
In the citing paper
“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 [106]
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Items 101–200 of 471
When shared concept cells support associations: Theory of overlapping memory engrams
Gastaldi, C., Schwalger, T., Falco, E. D., Quiroga, R. Q., & Wulfram Gerstner, B. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009691 · Cited by 38
Self-citationEmotional learning retroactively enhances item memory but distorts source attributionPreprint
Hennings, A. C., Lewis‐Peacock, J. A., & Dunsmoor, J. E. (2021) · Learning & Memory · doi:10.1101/lm.053371.120 · Cited by 46
Neuronal codes for visual perception and memory
Quiroga, R. Q. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.12.016 · Cited by 42
“…the hierarchical structure of the MTL: 52% of the neurons show visual invariance in PHC versus 85% in the hippocampus, and while no neuron in PHC showed responses to the text or sound presentations, about half the neurons did so in the hippocampus (Quian Quiroga 2012b; Quian Quiroga et al., 2009).”
BackgroundMethodInfluentialSelf-citationMégevand, P., Groppe, D. M., Bickel, S., Mercier, M. R., Goldfinger, M. S., Keller, C. J., Entz, L., & Mehta, A. D. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0527 · Cited by 36
“…connections from cortex to hippocampus or amygdala were more direct than their outgoing counterparts, is in keeping with this view of the hippocampus and amygdala as integrators of the activity of widely distributed cortical networks (Felleman and Van Essen, 1991; Mesulam, 1998; Quiroga, 2012).”
BackgroundQuiroga, R. Q. (2023) · Hippocampus · doi:10.1002/hipo.23527 · Cited by 43
Self-citationWhy concepts are (probably) vectors
Piantadosi, S. T., Muller, D. C. Y., Rule, J., Kaushik, K., Gorenstein, M. I., Leib, E. R., & Sanford, E. M. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.06.011 · Cited by 51
“Indeed, many studies fi nd evidence that humans integrate modality-speci fi c information into multimodal representations [95,96].”
BackgroundTesting Models of Human Declarative Memory at the Single-Neuron Level
Rutishauser, U. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.03.006 · Cited by 36
“VS cells are reproducible across tasks, recording techniques, and laboratories [35–39,41–43] (see [41] for a review) and their responses are abstract and”
BackgroundHigh-Dimensional Brain: A Tool for Encoding and Rapid Learning of Memories by Single Neurons
Tyukin, I., Gorban, A. N., Calvo, C., Makarova, J., & Makarov, V. A. (2018) · Figshare · Cited by 36
Donoghue, T., Cao, R., Han, C. Z., Holman, C. M., Brandmeir, N. J., Wang, S., & Jacobs, J. (2023) · Hippocampus · doi:10.1002/hipo.23539 · Cited by 35
“The particular design and task set used in this experiment also reflect a targeted combination of MTL related functions, including having representations related to concepts (Quiroga, 2012) and to spatial navigation (Moser et al., 2017).”
BackgroundMethodA 10.8 µW Neural Signal Recorder and Processor With Unsupervised Analog Classifier for Spike Sorting
Hao, H., Chen, J., Richardson, A. G., der Spiegel, J. V., & Aflatouni, F. (2021) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2021.3076147 · Cited by 35
Hippocampal spatial view cells, place cells, and concept cells: View representations
Rolls, E. T. (2023) · Hippocampus · doi:10.1002/hipo.23536 · Cited by 36
“Neurons with some properties like those of human concept cells (Quian Quiroga, 2023) are found in nonhuman primates, but clearly with language in humans concept cells can be much more elaborate.”
BackgroundInfluentialAllocentric representations of space in the hippocampus
Danjo, T. (2019) · Neuroscience Research · doi:10.1016/j.neures.2019.06.002 · Cited by 34
Single trial analysis of field potentials in perception, learning and memory
Rey, H. G., Ahmadi, M., & Quiroga, R. Q. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.009 · Cited by 32
“In the human MTL it has been shown the existence of neurons with selective and invariant responses that represent the meaning of the stimulus for declarative memory functions [47,48].”
BackgroundSelf-citationArshavsky, Y. I. (2016) · The Neuroscientist · doi:10.1177/1073858416670124 · Cited by 32
High-Dimensional Brain: A Tool for Encoding and Rapid Learning of Memories by Single Neurons
Tyukin, I., Gorban, A. N., Calvo, C., Makarova, J., & Makarov, V. A. (2018) · Bulletin of Mathematical Biology · doi:10.1007/s11538-018-0415-5 · Cited by 39
“Moreover, some neurons can exhibit remarkable selectivity to complex stimuli, the evidence that has led to debates around the existence of the so-called “grand mother” and “concept” cells (Quiroga et al. 2005;Viskontas et al. 2009;Quiroga 2012), and their role as elements of a declarative memory.”
BackgroundPronouns reactivate conceptual representations in human hippocampal neurons
Dijksterhuis, D. E., Self, M. W., Possel, J. K., Peters, J. C., van Straaten, E. C. W., Idema, S., Baayen, J. C., van der Salm, S. M. A., Aarnoutse, E. J., van Klink, N. E. C., et al. (2024) · Science · doi:10.1126/science.adr2813 · Cited by 36
Cognitive Liberty or the International Human Right to Freedom of Thought
Bublitz, C. (2014) · Springer eBooks · doi:10.1007/978-94-007-4707-4_166 · Cited by 36
Algorithms of whisker-mediated touch perception
Maravall, M., & Diamond, M. E. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.01.014 · Cited by 34
“A representation where individual neurons are selectively sensitive to high-level features (Section ‘Feature selectivity’) is a step toward the ‘concept’ representations found at the final stage of cortical processing [2,76].”
BackgroundA Spiking Neuron Model of Word Associations for the Remote Associates Test
Kajić, I., Gosmann, J., Stewart, T. C., Wennekers, T., & Eliasmith, C. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00099 · Cited by 29
“Notwithstanding, such selective and explicit response behavior is consistent with observations from single-neuron recordings in medial temporal cortex in humans (Földiák, 2009; Quian Quiroga, 2012).”
BackgroundResultHuman hippocampal pre-activation predicts behavior
Jafarpour, A., Piai, V., Lin, J. J., & Knight, R. T. (2017) · Scientific Reports · doi:10.1038/s41598-017-06477-5 · Cited by 35
One-trial correction of legacy AI systems and stochastic separation theorems
Gorban, A. N., Burton, R., Romanenko, I., & Tyukin, I. (2019) · Information Sciences · doi:10.1016/j.ins.2019.02.001 · Cited by 30
“Extreme selectivity of biological neurons High separation capabilities of linear functionals (Theorems 1–3, Remark 3) may shed light on the puzzle associated with the so-called Grandmother [39], [49] or Concept cells [38] in neuroscience.”
BackgroundMeister, M. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102555 · Cited by 36
“Recordings from epilepsy patients have revealed neurons that respond sparsely to just one of many possible concepts, like "Bill Clinton" [57].”
BackgroundKemmerer, D. L. (2015) · Neuroscience of Consciousness · doi:10.1093/nc/niv006 · Cited by 33
“These ATL cells do appear to contribute substantially to our conceptual knowledge of well-known people and places; indeed, that is why Quiroga (2012) calls them “concept cells.””
BackgroundMeaning, Autonomy, Symbolic Causality, and Free Will
Abbott, R. (2017) · Review of General Psychology · doi:10.1037/gpr0000125 · Cited by 29
“Quiroga (2012) has shown that humans have “concept neurons.””
BackgroundAlzheimer’s Disease: From Amyloid to Autoimmune Hypothesis
Arshavsky, Y. I. (2020) · The Neuroscientist · doi:10.1177/1073858420908189 · Cited by 28
“These cells were discovered in patients suffering from intractable epilepsy during their evaluation for surgical removal of the epileptic focus (Quian Quiroga 2012; Quian Quiroga and others 2009).”
BackgroundResultErdogan, G., Yildirim, I., & Jacobs, R. A. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004610 · Cited by 29
“For instance, Quiroga et al [16] found a neuron that responded selectively when a person viewed images of the television host Oprah Winfrey, viewed her written name, or heard her spoken name.”
BackgroundEmbedding Learning for Declarative Memories
Volker Tresp, C., Ma, Y., Baier, S., & Yang, Y. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58068-5_13 · Cited by 27
“In particular, researchers have reported 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 [28].”
BackgroundSingle neuron responses underlying face recognition in the human midfusiform face-selective cortex
Quiroga, R. Q., Boscaglia, M., Jonas, J., Rey, H. G., Yan, X., Maillard, L. G., Colnat‐Coulbois, S., Koessler, L., & Rossion, B. (2023) · Nature Communications · doi:10.1038/s41467-023-41323-5 · Cited by 37
Self-citationThe Understanding Capacity and Information Dynamics in the Human Brain
Yufik, Y. M. (2019) · Entropy · doi:10.3390/e21030308 · Cited by 26
“Moreover, the same neuron responded to the name of that person expressed in different modalities (written and spoken) [134].”
BackgroundWe don’t know how the brain stores anything, let alone words
Poeppel, D., & Idsardi, W. J. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.08.010 · Cited by 26
Rossion, B., Jacques, C., & Jonas, J. (2023) · Brain Sciences · doi:10.3390/brainsci13020354 · Cited by 33
“This rare approach in humans [253] has led to highly original observations - such as the so-called ‘concept cells’ firing to multimodal inputs related to people, places, or events in the human medial temporal lobe [254,255].”
BackgroundVolfart, A., Rice, G. E., Ralph, M. A. L., & Rossion, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118228 · Cited by 27
Social cognition in a case of amnesia with neurodevelopmental mechanisms
Staniloiu, A., Borsutzky, S., Woermann, F. G., & Markowitsch, H. J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00342 · Cited by 26
Semantic representation in the white matter pathway
Fang, Y., Wang, X., Zhong, S., Song, L., Han, Z., Gong, G., & Bi, Y. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2003993 · Cited by 26
Mapping the Scene and Object Processing Networks by Intracranial EEG
Vlček, K., Fajnerová, I., Nekovářová, T., Hejtmánek, L., Janča, R., Ježdík, P., Kalina, A., Tomášek, M., Kršek, P., Hammer, J., et al. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.561399 · Cited by 25
“It was about 100 ms slower than in the more posterior clusters S2–4, which agrees with the differences in response latency reported for single-unit hippocampal activity (Mormann et al., 2008; Quiroga, 2012).”
BackgroundFiorilli, J., Bos, J. J., Grande, X., Lim, J., Düzel, E., & Pennartz, C. M. A. (2021) · Hippocampus · doi:10.1002/hipo.23304 · Cited by 25
Viganò, S., & Manuela Piazza, A. (2021) · Hippocampus · doi:10.1002/hipo.23320 · Cited by 23
“This last point, in particular, might have significantly affected our results because of the known sparse coding properties of the hippocampus (e.g., Treves & Rolls 1994; Quiroga 2012), that does not guarantee that voxels showing hierarchical structures across participants will correspond after normalization.”
ResultFace identity coding in the deep neural network and primate brain
Wang, J., Cao, R., Brandmeir, N. J., Li, X., & Wang, S. (2022) · Communications Biology · doi:10.1038/s42003-022-03557-9 · Cited by 26
“The SI units and MI units identi fi ed in the present study are also reminiscent of the concept cells of the exemplar-based model 7 .”
BackgroundMethodInfluentialLi, A. Y., Fukuda, K., & Barense, M. D. (2022) · Cognition · doi:10.1016/j.cognition.2022.105024 · Cited by 24
Magic and cognitive neuroscience
Quiroga, R. Q. (2016) · Current Biology · doi:10.1016/j.cub.2016.03.061 · Cited by 22
“New approaches to cognitive neuroscience One of the most basic principles of brain function is that the brain processes very little information and infers the rest based on assumptions [17].”
BackgroundSelf-citationSearching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task
Cutler, R. A., Duff, M. C., & Polyn, S. M. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00341 · Cited by 28
“, by responding to a particular celebrity across different images as well as to the celebrity’s name presented in text (Quiroga et al., 2005; Quiroga, 2012).”
Gnostic cells in the 21st century
Quiroga, R. Q. (2013) · Acta Neurobiologiae Experimentalis · doi:10.55782/ane-2013-1952 · Cited by 21
“In fact, the opposite is often the case, as some of these neurons tend to fire to more than one concept (Quian Quiroga et al. 2009, Quian Quiroga and Kreiman 2010a, Quian Quiroga 2012).”
BackgroundInfluentialSelf-citationDynamic activity patterns in the anterior temporal lobe represents object semantics
Clarke, A. (2020) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1742678 · Cited by 20
“…and distributed code where many cells respond to a specific concept, and related concepts will active a partially overlapping population of cells (Quian Quiroga, 2016, 2012), giving rise to a distributed spatial pattern where the degree of overlapping cells could relate to conceptual overlap.”
BackgroundNavajas, J., Rey, H. G., & Quiroga, R. Q. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00959 · Cited by 22
Self-citationYildirim, I., & Jacobs, R. A. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0734-y · Cited by 24
“A striking example comes from Quiroga (2012) who argued that human brains contain “concept” cells which are involved in the representation of individual people or objects regardless of the modality used to sense those people or objects.”
BackgroundFeature-based encoding of face identity by single neurons in the human amygdala and hippocampusPreprint
Cao, R., Wang, J., Lin, C., Falco, E. D., Peter, A., Rey, H. G., DiCarlo, J. J., Todorov, A. T., Rutishauser, U., Li, X., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.01.278283 · Cited by 21
Concept and location neurons in the human brain provide the ‘what’ and ‘where’ in memory formation
Mackay, S., Reber, T. P., Bausch, M., Boström, J. P., Elger, C. E., & Mormann, F. (2024) · Nature Communications · doi:10.1038/s41467-024-52295-5 · Cited by 27
“Ourresults areinlinewiththeideathatconceptcellsrepresentthebuildingblocks of memory 40 .”
BackgroundJafarpour, A., Griffin, S., Lin, J. J., & Knight, R. T. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01392 · Cited by 20
“Hippocampal activity has been linked to the representation of event associations (Mack, Love, & Preston, 2017; Quiroga, 2012; Quiroga, Reddy, Kreiman, Koch, & Fried, 2005; Ekstrom et al., 2003).”
Decoding of human identity by computer vision and neuronal vision
Zhang, Y., Aghajan, Z. M., Ison, M. J., Lu, Q., Tang, H., Kalender, G., Monsoor, T., Zheng, J., Kreiman, G., Roychowdhury, V., et al. (2023) · Scientific Reports · doi:10.1038/s41598-022-26946-w · Cited by 20
Universal principles justify the existence of concept cells
Calvo, C., Tyukin, I., & Makarov, V. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-64466-7 · Cited by 19
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP
Fang, H., Zeng, Y., & Zhao, F. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.612041 · Cited by 18
“Inspired by the previous research work, an invariant, sparse, and explicit code, which might be important in the transformation of complex visual percepts into long-term and more abstract memories (Quiroga, 2012).”
BackgroundMethodSchindler, A., & Bartels, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.011 · Cited by 19
“This hierarchical organization is accompanied by an increase in abstraction, so that neural responses in higher tier regions are highly invariant to lowlevel sensory properties and increasingly sensitive to properties that characterize identity and semantics (for review see (Quiroga, 2012)).”
BackgroundThe development of category specificity in infancy – What can we learn from electrophysiology?
Hoehl, S. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.08.021 · Cited by 18
The General Theory of General Intelligence: A Pragmatic Patternist PerspectivePreprint
Goertzel, B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.15100 · Cited by 18
On the origin of memory neurons in the human hippocampus
Kolibius, L. D., Josselyn, S. A., & Hanslmayr, S. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.01.013 · Cited by 17
Communication, concepts and grounding
van der Velde, F. (2014) · Neural Networks · doi:10.1016/j.neunet.2014.07.003 · Cited by 17
Volitional control of individual neurons in the human brain
Patel, K., Katz, C. N., Kalia, S. K., Popović, M. R., & Valiante, T. A. (2021) · Brain · doi:10.1093/brain/awab370 · Cited by 20
Rolls, E. T. (2016) · Language Cognition and Neuroscience · doi:10.1080/23273798.2016.1203443 · Cited by 17
“…macaque temporal lobe, but on the basis of many such recordings, those who have recorded these neurons argue that the code is sparsely distributed (Quiroga, 2012, 2013; Quiroga, Kreiman, Koch, & Fried, 2008; Rey et al., 2015), and therefore somewhat similar to that of neurons in macaques (Rolls &…”
ResultA human single-neuron dataset for face perception
Cao, R., Lin, C., Brandmeir, N. J., & Wang, S. (2022) · Scientific Data · doi:10.1038/s41597-022-01482-4 · Cited by 17
Place cells are nonrandomly clustered by field location in CA1 hippocampus
Wirtshafter, H. S., & Disterhoft, J. F. (2022) · Hippocampus · doi:10.1002/hipo.23489 · Cited by 17
“, 2003; Wirtshafter & Wilson, 2019), and, in humans, even abstract concepts (Bausch et al., 2021; Quiroga, 2012; Suthana et al., 2015)] in different environments (Schimanski et al.”
BackgroundA neuronal code for object representation and memory in the human amygdala and hippocampus
Cao, R., Brunner, P., Chakravarthula, P. N., Wahlstrom, K. L., Inman, C. S., Smith, E. H., Li, X., Mamelak, A. N., Brandmeir, N. J., Rutishauser, U., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56793-y · Cited by 16
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework
Knight, J. C., Voelker, A. R., Mundy, A., Eliasmith, C., & Furber, S. B. (2016) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2016.7727888 · Cited by 16
“Sparse coding has been commonly observed in the hippocampus, where as few as 50 to 200 cells may participate in the encoding of a single representation [19, 20].”
BackgroundA current model of neural circuitry active in forming mental images
Brodziak, A. (2013) · Medical Science Monitor · doi:10.12659/msm.889587 · Cited by 17
“Arguments for the existence of high-level ‘object neurons’ were made by several researchers [2–6].”
BackgroundThe necessity of connection structures in neural models of variable binding
van der Velde, F., & de Kamps, M. (2015) · Cognitive Neurodynamics · doi:10.1007/s11571-015-9331-7 · Cited by 18
“He arrived at a set of 1020 sentences (see Pinker 1994).”
BackgroundHow Human Single-Neuron Recordings Can Help Us Understand Cognition: Insights from Memory Studies
Kubska, Z. R., & Kamiński, J. (2021) · Brain Sciences · doi:10.3390/brainsci11040443 · Cited by 15
“One of the first of such neurons was called the Jennifer Aniston neuron, as it responded selectively to different pictures of the actress Jennifer Aniston [12,24].”
BackgroundInfluentialSymbolic categorization of novel multisensory stimuli in the human brain
Viganò, S., Borghesani, V., & Manuela Piazza, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118016 · Cited by 14
Concept Cells through Associative Learning of High-Level Representations
Reddy, L., & Thorpe, S. J. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.004 · Cited by 15
Map making: Constructing, combining, and inferring on abstract cognitive mapsPreprint
Park, S. A., Miller, D. S., Nili, H., Ranganath, C., & Boorman, E. D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/810051 · Cited by 19
Neural representations across species
Quiroga, R. Q. (2019) · Science · doi:10.1126/science.aaw8829 · Cited by 14
Self-citationDirani, J., & Liina Pylkkänen, A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0326-24.2024 · Cited by 14
Makkeh, A., Graetz, M., Schneider, A. C., Ehrlich, D. A., Priesemann, V., & Wibral, M. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2408125122 · Cited by 21
“…of these networks, achieving an interpretable understanding of how local computational elements coordinate to address global tasks is challenging and remains an ongoing focus of intense research for both BNNs (Dumont et al., 2023; Quiroga, 2012) and ANNs (Räuker et al., 2023; Angelov et al., 2021).”
Gur, M. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.02.005 · Cited by 15
Roy, A. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00300 · Cited by 17
Knowledge acquisition with forgetting: an incremental and developmental setting
Martínez-Plumed, F., Ferri, C., Hernández-Orallo, J., & Ramírez-Quintana, M. J. (2015) · Adaptive Behavior · doi:10.1177/1059712315608675 · Cited by 14
“The ability to focus on what to discard, what is not relevant, is becoming more relevant not only in cognitive science and neuroscience (Quiroga, 2012), but also in AI (e.”
BackgroundAn online adaptive screening procedure for selective neuronal responses
Knieling, S., Niediek, J., Kutter, E. F., Boström, J. P., Elger, C. E., & Mormann, F. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.08.002 · Cited by 13
Diverse sensory cues for individual recognition
Chung, M., Wang, M., Huang, Z., & Okuyama, T. (2020) · Development Growth & Differentiation · doi:10.1111/dgd.12697 · Cited by 16
“These neurons have been collectively named “Jennifer Aniston cells” or “concept cells” (Quiroga, 2012; Quiroga et al., 2005).”
BackgroundLearning with Memory EmbeddingsPreprint
Volker Tresp, C., Esteban, C., Yang, Y., Baier, S., & Krompaß, D. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1511.07972 · Cited by 28
“medial temporal lobe (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 [95, 94]. For example, neurons have been shown to selectively respond to famous actors like “Halle Berry”. Thus a local…”
BackgroundUsing multi‐task experiments to test principles of hippocampal function
Han, C. Z., Donoghue, T., Cao, R., Kunz, L., Wang, S., & Jacobs, J. (2023) · Hippocampus · doi:10.1002/hipo.23540 · Cited by 13
“The concept model is supported by human singleneuron studies showing that hippocampal neurons respond highly selectively to specific persons or objects, regardless of visual appearances or stimulus modalities (Quian Quiroga, 2012; Quian Quiroga et al., 2005, 2008).”
BackgroundInfluentialThe Mental Maxwell Relations: A Thermodynamic Allegory for Higher Brain Functions
O’Neill, J., & Schoth, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.827888 · Cited by 13
“Concept formation may occur in the hippocampus, amygdala, or entorhinal cortex (Quiroga, 2012).”
BackgroundZhang, Y., Han, J., Liu, T., Yang, Z., Chen, W., & Zhang, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-19771-8 · Cited by 13
“The development of neuroscience has put forward high requirements for analyzing neural activity at both single neuron [1-4] and population levels [5-7].”
Backgroundharacterizing Human-like Consciousness: An Integrative Approach
Goertzel, B. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.11.098 · Cited by 11
“a concept neuron in the human brain [42]”
BackgroundGeng, K., Shin, D. C., Song, D. B., Hampson, R. E., Deadwyler, S. A., Berger, T. W., & Marmarelis, V. Z. (2017) · Neural Computation · doi:10.1162/neco_a_01031 · Cited by 13
Inter-participant consistency of language-processing networks during abstract thoughts
Berkovich‐Ohana, A., Noy, N., Harel, M., Furman‐Haran, E., Arieli, A., & Malach, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116626 · Cited by 14
“A different but related line of research is based on intra-cranial recordings of neuronal activity conducted in patients called ‘concept cells’ (Quiroga, 2012; Quiroga, Fried, & Koch, 2013).”
No convincing evidence the hippocampus is associated with working memory
Slotnick, S. D. (2023) · Cognitive Neuroscience · doi:10.1080/17588928.2023.2223919 · Cited by 12
“Of importance, the previous two studies employed images that are known to produce semantic memory–a type of long-term memory–activity in the hippocampus (Quiroga, 2012).”
BackgroundKucewicz, M. T., Berry, B. M., Bower, M. R., Cimbálník, J., Švehlik, V., Stead, S. M., & Worrell, G. A. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2451596 · Cited by 12
“It has been proposed that single neurons can underlie very specific and abstract item representations or concepts and, thus, may form the building blocks for human declarative memory [18], [19], but recent work points to sparsely distributed neuronal populations [20], [21] as the substrate of encoded information.”
BackgroundAutomated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos
Ha, J.-W., Kim, K.-M., & Zhang, B. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9225 · Cited by 14
“This sparse and hierarchical structure reduces the model complexity and DCH pursues a parse modular hierarchical structure, as found in human brains (Quiroga 2012).”
BackgroundEntorhinal mismatch: A model of self-supervised learning in the hippocampus
Santos-Pata, D., Amil, A. F., Raikov, I., Rennó‐Costa, C., Mura, A., Soltész, I., & Verschure, P. F. M. J. (2021) · iScience · doi:10.1016/j.isci.2021.102364 · Cited by 13
“Overall, the hippocampus is known to play a role in learning features and their associations over multiple dimensions, ranging from spatial location encoding (E. I. Moser, Kropff and Moser, 2008) to semantic relationships (Solomon et al., 2019) to abstract concepts (Quiroga, 2012).”
Competitive learning to generate sparse representations for associative memory
Sa-Couto, L., & Wichert, A. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.09.005 · Cited by 13
Semantic Search as Pattern Completion across a Concept
Solomon, S. H., & Schapiro, A. C. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.12.003 · Cited by 12
“The existence of ‘concept cells’ in the hippocampus, which respond similarly to different instantiations of a given concept (e.g., ‘Jennifer Aniston’ [10]), could be taken as evidence that the hippocampus does store remote semantic memories.”
BackgroundRoy, A. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00186 · Cited by 13
Cognitive Networks: Brains, Internet, and Civilizations
Manin, D. Y., & Manin, Y. I. (2017) · Springer eBooks · doi:10.1007/978-3-319-61231-7_9 · Cited by 12
A place with a view: A first‐person perspective in the hippocampal memory space
Wirth, S. (2023) · Hippocampus · doi:10.1002/hipo.23537 · Cited by 11
Distinct neuronal populations in the human brain combine content and context
Bausch, M., Niediek, J., Reber, T. P., Mackay, S., Boström, J. P., Elger, C. E., & Mormann, F. (2026) · Nature · doi:10.1038/s41586-025-09910-2 · Cited by 15
“A uniquely human single-neuron correlate of memory items is represented by concept neurons in the MTL, which selectively and invariantly respond to stimuli containing a preferred semantic concept 8 (for example, our friend).”
Rolls, E. T., Zhang, C., & Feng, J. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf107 · Cited by 11
“Multimodal semantic representations of these types, perhaps formed in the way described here, are, it is suggested, what “concept cells” recorded in humans (Quian 2012) and perhaps in non-human primates (Rolls 2023c) reflect.”
Memory Modulation Via Non-invasive Brain Stimulation: Status, Perspectives, and Ethical Issues
Farina, M., & Lavazza, A. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.826862 · Cited by 11
“However, it should also be noted that in the medial temporal lobe, researchers (e.g., Quiroga, 2012) identified single neurons called “concept cells,” capable of responding selectively and abstractly to specific people and objects (such as Jennifer Aniston or the Tower of Pisa).”
BackgroundVolfart, A., Jonas, J., Maillard, L. G., Colnat‐Coulbois, S., & Rossion, B. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000659 · Cited by 10
“However, while these neurons have been defined as “concept cells”, they are thought to play a role in creation of associations and recollection of (recent or recently refreshed) conscious episodic memory events rather than supporting long-term semantic associations [25].”
BackgroundTiesinga, P. H. E., Platonov, A., Pelliccia, V., Russo, G. L., Sartori, I., & Orban, G. A. (2023) · Scientific Reports · doi:10.1038/s41598-023-33318-5 · Cited by 10
“Given the many T leads responding in a task using only very basic categories, the category label is likely distributed over large numbers of neurons, unlike what has been reported for declarative memory 42 .”
Single-neuron mechanisms of neural adaptation in the human temporal lobe
Reber, T. P., Mackay, S., Bausch, M., Kehl, M. S., Borger, V., Surges, R., & Mormann, F. (2023) · Nature Communications · doi:10.1038/s41467-023-38190-5 · Cited by 10
A dynamic attractor network model of memory formation, reinforcement and forgetting
Boscaglia, M., Gastaldi, C., Wulfram Gerstner, B., & Quiroga, R. Q. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011727 · Cited by 12
Self-citationFeature-based encoding of face identity by single neurons in the human amygdala and hippocampus
Cao, R., Wang, J., Lin, C., Falco, E. D., Peter, A., Rey, H. G., Brunner, P., Willie, J. T., DiCarlo, J. J., Todorov, A. T., et al. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02218-1 · Cited by 29
“Notably, however, in the MTL so far only 2 exemplar-based coding has been demonstrated (13, 14).”
Influential
Metadata
- Authors
- Quiroga, R. Q.
- Affiliations
- University of Leicester (GB)
- Corresponding author
- Quiroga, Rodrigo Quian
- Venue
- Nature reviews. Neuroscience
- Published
- 2012-07-04
- Volume
- 13
- Issue
- 8
- Pages
- 587-597
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2040309074
- Cited by
- 472
- References
- 124
- Citations by year
- 2026: 39 · 2025: 50 · 2024: 26 · 2023: 36 · 2022: 27 · 2021: 38 · 2020: 39 · 2019: 59 · 2018: 22 · 2017: 30 · 2016: 23 · 2015: 33 · 2014: 30 · 2013: 16 · 2012: 4
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Leicester Research Archive (University of Leicester) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- medial temporal lobe, declarative memory, episodic memory, single-unit recording, drug-resistant epilepsy, object recognition, person recognition, memory associations, stream of consciousness
- MeSH terms
- Animals, Concept Formation, Humans, Memory, Nerve Net, Neural Pathways, Temporal Lobe, Synaptic Potentials
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