The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
Bliss, T. V. P., & Gardner-Medwin, A. R. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010274 · Cited by 7,424
LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
Receptive fields and functional architecture of monkey striate cortex
Hubel, D. H., & Wiesel, T. N. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008455 · Cited by 6,685
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256
Episodic memory: from mind to brain
Tulving, E. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135114 · Cited by 4,950
Receptive fields of single neurones in the cat's striate cortex
Hubel, D. H., & Wiesel, T. N. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006308 · Cited by 4,653
Research works printed but not linked: 4
- Aristotle. De Anima (Penguin, London, reprinted 2004).
- Palmer, S. E. Vision Science (MIT Press, 1999).
- Bartlett, F. C. Remembering (Cambridge Univ. Press, 1932).
- Niedermeyer, E. in Electroencephalography (eds Lopes da Silva, F. & Niedermeyer, E.) 461–564 (Williams and Wilkins, 1993).
Cited by
Sorted by citations
Episodic memory and beyond: the hippocampus and neocortex in transformation
Moscovitch, M., Cabeza, R., Winocur, G., & Nadel, L. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143733 · Cited by 1,062
Human-level performance in 3D multiplayer games with population-based reinforcement learning
Jaderberg, M., Czarnecki, W. M., Dunning, I., Marris, L., Lever, G., Castañeda, A. G., Beattie, C., Rabinowitz, N. C., Morcos, A. S., Ruderman, A., et al. (2019) · Science · doi:10.1126/science.aau6249 · Cited by 662
“We also found individual neurons whose activations coded directly for some of these features, e.g. a neuron that was active if and only if the agent’s teammate was holding the flag, reminiscent of concept cells ( 51 ).”
BackgroundBoly, M., Massimini, M., Tsuchiya, N., Postle, B. R., Koch, C., & Tononi, G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3218-16.2017 · Cited by 557
“Due to space constraints, we will not review possible contributions to consciousness of the medial temporal lobe and of the insular cortex (Craig, 2010; Seth et al., 2011; Quiroga, 2012), except for pointing out that consciousness is preserved after bilateral lesions of these areas (Corkin, 2002; Damasio et al.”
BackgroundPast, present and future of spike sorting techniques
Rey, H. G., Pedreira, C., & Quiroga, R. Q. (2015) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2015.04.007 · Cited by 451
“1) The multiunit cluster is formed by the superposition of different spikes, it has a relatively low amplitude and violates the refractory period of single neurons—i.e., spikes appear within less than 2.5 ms (Quian Quiroga, 2012a .”
BackgroundMethodInfluentialSelf-citationFrom Knowing to Remembering: The Semantic–Episodic Distinction
Renoult, L., Irish, M., Moscovitch, M., & Rugg, M. D. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.09.008 · Cited by 397
“These studies identified cells that responded to spe-cific individuals, places, or objects (and to stimuli associated with these concepts) whether the entity was presented as an image, or as a written or spoken word (reviewed in [61,62]).”
BackgroundFunctional and structural underpinnings of neuronal assembly formation in learning
Holtmaat, A., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4418 · Cited by 239
Improving data quality in neuronal population recordings
Harris, K. D., Quiroga, R. Q., Freeman, J., & Smith, S. L. (2016) · Nature Neuroscience · doi:10.1038/nn.4365 · Cited by 270
Self-citationMultimodal Neurons in Artificial Neural Networks
Goh, G., Cammarata, N., Voss, C., Carter, S., Petrov, M., Schubert, L., Radford, A., & Olah, C. (2021) · Distill · doi:10.23915/distill.00030 · Cited by 330
Remote Memory and the Hippocampus: A Constructive Critique
Barry, D. N., & Maguire, E. A. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.11.005 · Cited by 210
Toward a Neurocentric View of Learning
Titley, H. K., Brunel, N., & Hansel, C. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.021 · Cited by 209
“In the extreme case—this is likely to be true for neurons that code for complex feature constellations such as concept cells (e.g., a ‘‘Jennifer Aniston neuron’’ (Quiroga et al., 2005; for a review, see Quiroga, 2012)—synaptic weights and weight ratios are optimally adjusted (Figure 4A).”
BackgroundRapid Encoding of New Memories by Individual Neurons in the Human Brain
Ison, M. J., Quian Quiroga, R., & Fried, I. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.016 · Cited by 184
“Considering the previous finding that MTL neurons show an invariant representation of concepts (Quian Quiroga et al., 2005), our results of association formation in these neurons suggest conceptual associations.”
BackgroundInfluentialSelf-citationUnderstanding What We See: How We Derive Meaning From Vision
Clarke, A., & TYLER, L. K. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.08.008 · Cited by 205
The storage and recall of memories in the hippocampo-cortical system
Rolls, E. T. (2017) · Cell and Tissue Research · doi:10.1007/s00441-017-2744-3 · Cited by 195
“An example of a semantic representation is a Jennifer Aniston neuron, which may respond not only to Jennifer Aniston but also to other actors in the same movie and the places with which they are associated (Quiroga 2012; Rey et al. 2015).”
BackgroundInfluentialCerebral cortex : principles of operation
Rolls, E. T. (2016) · doi:10.82444/warw.33712699 · Cited by 187
Biological constraints on neural network models of cognitive function
Friedemann Pulvermüller, A., Tomasello, R., Henningsen‐Schomers, M. R., & Wennekers, T. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00473-5 · Cited by 186
Spatial representations in the primate hippocampus, and their functions in memory and navigation
Rolls, E. T., & Wirth, S. (2018) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2018.09.004 · Cited by 173
“Consistent with these discoveries, the hippocampus receives projections from the temporal cortical areas specialized for objects or faces, and neurons responsive for particular individuals were found both in the human medial temporal lobe (Kreiman et al., 2000; Quiroga, 2012) and the monkey hippocampus (Sliwa et al.”
InfluentialThe role of the hippocampus in memory and mental construction
Sheldon, S., & Levine, B. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13006 · Cited by 155
How many neurons can we see with current spike sorting algorithms?
Pedreira, C., Martinez, J., Ison, M. J., & Quiroga, R. Q. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.07.010 · Cited by 151
Self-citationNorman, Y., Raccah, O., Liu, S., Parvizi, J., & Malach, R. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.020 · Cited by 140
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript et al., 2008; Quiroga, 2012, 2019; Quiroga et al., 2005; Rutishauser et al., 2021; Staresina et al., 2019).”
BackgroundBlessing of dimensionality: mathematical foundations of the statistical physics of data
Gorban, A. N., & Tyukin, I. (2018) · Figshare · Cited by 137
Dissociating memory traces and scenario construction in mental time travel
Cheng, S., Werning, M., & Suddendorf, T. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.11.011 · Cited by 144
Schema cells in the macaque hippocampus
Baraduc, P., Duhamel, J.-R., & Wirth, S. (2019) · Science · doi:10.1126/science.aav5404 · Cited by 123
The role of the hippocampus in recognition memory
Bird, C. M. (2017) · Cortex · doi:10.1016/j.cortex.2017.05.016 · Cited by 136
Blessing of dimensionality: mathematical foundations of the statistical physics of data
Gorban, A. N., & Tyukin, I. Y. (2018) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2017.0237 · Cited by 185
Imaging Brain Function With EEG
Freeman, W. J., & Quiroga, R. Q. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4984-3 · Cited by 258
“…greatly increased by the introduction of single-cell recordings in the 1950s, now advanced to high level of sophistication with the identi fi cation of concept cells (Quian Quiroga 2012) and, more recently, by imaging techniques of MEG, PET, fMRI and BOLD (blood oxygen level dependent), and fMRI.”
BackgroundSelf-citationFrom cognitive maps to spatial schemas
Farzanfar, D., Spiers, H. J., Moscovitch, M., & Rosenbaum, R. S. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00655-9 · Cited by 115
“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 .”
Critical features for face recognition
Abudarham, N., Shkiller, L., & Yovel, G. (2018) · Cognition · doi:10.1016/j.cognition.2018.09.002 · Cited by 127
“, Halle Barry with a cat-woman mask and a line drawing of her face) as well as their name (Quiroga, Reddy, Kreiman, Koch, & Fried, 2005; Quiroga, 2012).”
Aversive Learning Modulates Cortical Representations of Object Categories
Dunsmoor, J. E., Kragel, P. A., Martin, A. D., & LaBar, K. S. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht138 · Cited by 117
Mind Reading and Writing: The Future of Neurotechnology
Roelfsema, P. R., Denys, D., & Klink, P. C. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.04.001 · Cited by 107
“Concept cell: neurons in the medial temporal lobe of the (human) brain that encode a highly speci fi c abstract concept, such as a person or a building [24,25].”
Baldassi, C., Alemi, A., Pagan, M., DiCarlo, J. J., Zecchina, R., & Zoccolan, D. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003167 · Cited by 110
“simple visual features to formation of conceptual, semantic categories – are IT neurons closer to the local edge detectors found in primary visual areas or to the concept cells recently found in human middle temporal lobe [9–11]? While most literature supports the notion that IT neurons code moderately to highly compl…”
Crossmodal and action-specific: neuroimaging the human mirror neuron system
Oosterhof, N. N., Tipper, S. P., & Downing, P. E. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.04.012 · Cited by 112
The roles of perceptual and conceptual information in face recognition.
Schwartz, L., & Yovel, G. (2016) · Journal of Experimental Psychology General · doi:10.1037/xge0000220 · Cited by 104
“In fact, the concept neurons that were revealed in the medial temporal lobe for familiar faces and scenes (Quiroga, Reddy, Kreiman, Koch, & Fried, 2005; for review, see Quiroga, 2012) may be the neural manifestation of such view-invariant conceptual representation.”
BackgroundTowards 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
“For instance, semantic meaning (presumably coded in temporal lobe areas such as the hippocampal formation and the anteromedial temporal lobe [76,77]) needs to be coupled to a specific sensory representation to generate the representation of a meaningful object that can be acted on [63].”
Social memory engram in the hippocampus
Okuyama, T. (2018) · Neuroscience Research · doi:10.1016/j.neures.2017.05.007 · Cited by 95
“They classify those neurons, that selectively respond to specific individuals like Jennifer Aniston, as the “Jennifer Aniston neurons” – proposing the idea of “concept cells” in the MTL and their ability to store a single “concept” (Quiroga, 2012; Quiroga et al., 2005).”
BackgroundWatrous, A. J., Fell, J., Ekstrom, A. D., & Axmacher, N. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.07.024 · Cited by 95
“Independent contributions of LFP power and phase to neural representation There is now abundant evidence for stimulus specific single neuron activity in humans (reviewed in [20]).”
A generative model of memory construction and consolidation
Spens, E., & Burgess, N. (2024) · Nature Human Behaviour · doi:10.1038/s41562-023-01799-z · Cited by 122
“…encoding of a day at the beach is likely to bind together coarse-grained concepts such as ‘beach’ and ‘sea’ along with sensory representations such as the melody of an unfamiliar song or the sight of a particular sandcastle, consistent with the evidence for concept cells in the hippocampus 61 .”
BackgroundInfluentialWord meaning in the ventral visual path: a perceptual to conceptual gradient of semantic coding
Borghesani, V., Pedregosa, F., Buiatti, M., Amadon, A., Eger, E., & Manuela Piazza, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.068 · Cited by 91
“This hypothesis would also fit well with the report of “concept cells”, coding for individual items though with a very high degree of invariance (even across symbolic and pictorial presentations) in the medial areas of the human anterior temporal cortex (Quiroga, 2012).”
ResultA non-spatial account of place and grid cells based on clustering models of concept learning
Mok, R. M., & Love, B. C. (2019) · Nature Communications · doi:10.1038/s41467-019-13760-8 · Cited by 97
The Architecture of Human Memory: Insights from Human Single-Neuron Recordings
Rutishauser, U., Reddy, L., Mormann, F., & Sarnthein, J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1648-20.2020 · Cited by 85
“These data have given rise to the hypothesis that visually selective cells represent semantic memories (Rutishauser, 2019), which in turn are the building blocks of episodic memories (Quiroga, 2012).”
BackgroundNeuronal Responses to Conspecifics in the Ventral CA1
Rao, R. P., von Heimendahl, M., Bahr, V., & Brecht, M. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.05.081 · Cited by 85
“These studies have established the existence of the so-called concept cells (Quiroga, 2012), which respond to a particular individual (and other complex stimuli) in a distinctly multimodal fashion (i.”
BackgroundInfluentialA Detailed and Fast Model of Extracellular Recordings
Camuñas-Mesa, L. A., & Quiroga, R. Q. (2013) · Neural Computation · doi:10.1162/neco_a_00433 · Cited by 84
“In the first paragraph of his by-now classic paper describing the properties of microelectrodes, Robinson (1968) states, “Despite this prevalence [of the use of microelectrodes for single-cell recordings] there remains a good deal of mystery about how best to make these electrodes and how to interpret the extracellula…”
BackgroundSelf-citationRolls, E. T. (2022) · Hippocampus · doi:10.1002/hipo.23467 · Cited by 87
“, 2022d), and neurons responsive for particular individuals were found both in the human medial temporal lobe (Kreiman et al., 2000; Quiroga, 2012) and the monkey hippocampus (Sliwa et al.”
BackgroundMethodHuman single neuron activity precedes emergence of conscious perception
Gelbard-Sagiv, H., Mudrik, L., Hill, M. R., Koch, C., & Fried, I. (2018) · Nature Communications · doi:10.1038/s41467-018-03749-0 · Cited by 66
Roelfsema, P. R. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.016 · Cited by 85
Timing of Single-Neuron and Local Field Potential Responses in the Human Medial Temporal Lobe
Rey, H. G., Fried, I., & Quian Quiroga, R. (2014) · Current Biology · doi:10.1016/j.cub.2013.12.004 · Cited by 70
“Given the proposed role of the MTL in combining information from different sensory modalities to create a unified percept [17, 18], the timing mechanism given by the theta LFP responses may be critical for synchronizing and combining multisensory information involving different processing times.”
InfluentialSelf-citationCorrection of AI systems by linear discriminants: Probabilistic foundations
Gorban, A. N., Golubkov, A., Grechuk, B., Mirkes, E. M., & Tyukin, I. (2018) · Information Sciences · doi:10.1016/j.ins.2018.07.040 · Cited by 74
“One of the brain mystery is the well-documented phenomenon of Grandmother Cells and the so-called Concept Cells [43].”
BackgroundTao, K., Chung, M., Watarai, A., Huang, Z., Wang, M., & Okuyama, T. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01430-5 · Cited by 74
“Indeed, “concept cells” in the human hippocampus that encode social memory can fire selectively not only in response to pictures of a specific person but also in response to other sensory modality cues such as the pronounced or written name of that person [51].”
BackgroundNeuroscientific Evidence for Processing Without Awareness
Mudrik, L., & Deouell, L. Y. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110920-033151 · Cited by 84
“The so-called concept neurons in the medial temporal lobe (MTL), measured by intracranial electrodes for clinical reasons, show selectivity to individual faces (Quiroga 2012).”
BackgroundHippocampal neurons code individual episodic memories in humans
Kolibius, L. D., Roux, F., Parish, G., Wal, M. T., van der Plas, M., Chelvarajah, R., Sawlani, V., Rollings, D. T., Lang, J., Gollwitzer, S., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01706-6 · Cited by 84
“One contemporary idea is that the diverse elements that make up an episode are coded by the simultaneous activity of a set of these concept neurons 11,12 or by expanding the selectivity of existing concept neurons 13 .”
BackgroundLong-term coding of personal and universal associations underlying the memory web in the human brain
Falco, E. D., Ison, M. J., Fried, I., & Quiroga, R. Q. (2016) · Nature Communications · doi:10.1038/ncomms13408 · Cited by 72
Self-citationDoctor, Teacher, and Stethoscope: Neural Representation of Different Types of Semantic Relations
Xu, Y., Wang, X., Wang, X., Men, W., Gao, J., & Bi, Y. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2562-17.2018 · Cited by 73
“Consistent with these assumptions, it has been reported that the concept cell assemblies in the medial temporal lobe encode semantic associations in a sparse manner (Quiroga, 2012; De Falco et al., 2016).”
BackgroundSingle Neuron Coding of Identity in the Human Hippocampal Formation
Rey, H. G., Gori, B., Chaure, F. J., Collavini, S., Blenkmann, A. O., Seoane, P., Seoane, E., Kochen, S. S., & Quiroga, R. Q. (2020) · Current Biology · doi:10.1016/j.cub.2020.01.035 · Cited by 69
“Contrasting with the graded responses in neocortex [4–6, 9–11, 13–15, 18], which may be useful for recognition in order to detect changes in the environment, we can postulate that the degree of visual invariance shown by MTL neurons leads to a high degree of conceptualization and abstraction that is the basis of our m…”
BackgroundInfluentialSelf-citationTheta-phase dependent neuronal coding during sequence learning in human single neurons
Reddy, L., Self, M. W., Zoefel, B., Poncet, M., Possel, J. K., Peters, J. C., Baayen, J. C., Idema, S., VanRullen, R., & Roelfsema, P. R. (2021) · Nature Communications · doi:10.1038/s41467-021-25150-0 · Cited by 78
Spike sorting with Gaussian mixture models
Souza, B. C., Lopes‐dos‐Santos, V., Bacelo, J., & Tort, A. B. L. (2019) · Scientific Reports · doi:10.1038/s41598-019-39986-6 · Cited by 67
Andrews, T. J., Watson, D. M., Rice, G. E., & Hartley, T. (2015) · Journal of Vision · doi:10.1167/15.7.3 · Cited by 70
Locating the engram: Should we look for plastic synapses or information-storing molecules?
Langille, J. J., & Gallistel, C. R. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107164 · Cited by 70
Quiroga, R. Q. (2019) · Cell · doi:10.1016/j.cell.2019.10.016 · Cited by 69
“Episodic memory relies on the fast formation of associations (Eichenbaum, 2004; Quian Quiroga, 2012; Wallenstein et al., 1998); for example, the memory of seeing a celebrity in the subway involves making a link between these concepts.”
BackgroundInfluentialSelf-citationGarrido, M. I., Barnes, G. R., Kumaran, D., Maguire, E. A., & Dolan, R. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.016 · Cited by 72
“First, the iEEG recordingswere conducted in patients with epilepsy whichmakes it difficult to exclude the possibility that pathological changes in the hippocampus or medicationrelated effects could have contributed to the results (though see Quiroga (2012).”
ResultThree brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 69
“…may be most prominent in the absence of locomotion, only because at rest only one spatial location is directly experienced, in effect controlling for space (Gelbard-Sagiv, Mukamel, Harel, Malach, & Fried, 2008; MacDonald et al., 2013; Quiroga, 2012; Quiroga et al., 2005; Takahashi et al., 2009b).”
BackgroundNo Pattern Separation in the Human Hippocampus
Quiroga, R. Q. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.09.012 · Cited by 70
“With these recordings, we have found Concept Cells responding to specific concepts [15,16].”
BackgroundSelf-citationThe evolving view of replay and its functions in wake and sleep
Findlay, G., Tononi, G., & Cirelli, C. (2020) · SLEEP Advances · doi:10.1093/sleepadvances/zpab002 · Cited by 66
Volitional activation of remote place representations with a hippocampal brain–machine interface
Lai, C., Tanaka, S., Harris, T. D., & Lee, A. K. (2023) · Science · doi:10.1126/science.adh5206 · Cited by 70
A Computational Model of Visual Recognition Memory via Grid Cells
Bičanski, A., & Burgess, N. (2019) · Current Biology · doi:10.1016/j.cub.2019.01.077 · Cited by 65
“The stimulus identity cells in the model are reminiscent of concept cells found in the human hippocampus [39].”
BackgroundMoscovitch, M., & Gilboa, A. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/yxbrs · Cited by 68
Learning of anticipatory responses in single neurons of the human medial temporal lobe
Reddy, L., Poncet, M., Self, M. W., Peters, J. C., Douw, L., van Dellen, E., Claus, S., Reijneveld, J. C., Baayen, J. C., & Roelfsema, P. R. (2015) · Nature Communications · doi:10.1038/ncomms9556 · Cited by 54
“Several studies of the human MTL have demonstrated the existence of “concept cells” 36 .”
SpikeDeeptector: a deep-learning based method for detection of neural spiking activity
Saif-ur-Rehman, M., Lienkämper, R., Parpaley, Y., Wellmer, J., Liu, C. Y., Lee, B., Kellis, S., Andersen, R. A., Iossifidis, I., Glasmachers, T., et al. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab1e63 · Cited by 67
“Most existing spike sorting methods operate either manually or semi-automatically (Lewicki 1998, Einevoll et al 2012, Marre et al 2012, Quiroga 2012).”
MethodFrom blueprints to brain maps: the status of the Lemma Model in cognitive neuroscience
Kemmerer, D. L. (2018) · Language Cognition and Neuroscience · doi:10.1080/23273798.2018.1537498 · Cited by 60
“These studies used electrophysiology (Chan et al., 2011; Naci, Taylor, Cusack, & Tyler, 2012; see also Quiroga, 2012), MEG (Marinkovic et al., 2003; van Ackeren, Schneider, Müsch, & Rueschemeyer, 2014; Clarke, Devereux, Randall, & Tyler, 2015), and TMS (Jackson et al., 2015).”
Dissipation of ‘dark energy’ by cortex in knowledge retrieval
Capolupo, A., Freeman, W., & Vitiello, G. (2013) · Physics of Life Reviews · doi:10.1016/j.plrev.2013.01.001 · Cited by 59
Coding of episodic memory in the human hippocampus
Wixted, J. T., Goldinger, S. D., Squire, L. R., Kuhn, J. R., Papesh, M. H., Smith, K. A., Treiman, D. M., & Steinmetz, P. N. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716443115 · Cited by 59
“Notably, this approach has identified neurons that respond selectively to the presentation of a photo of a particular person or landmark (20, 21).”
BackgroundTrade-off between curvature tuning and position invariance in visual area V4
Sharpee, T. O., Kouh, M., & Reynolds, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217479110 · Cited by 57
Cross-modal representation of identity in the primate hippocampus
Tyree, T. J., Metke, M., & Miller, C. T. (2023) · Science · doi:10.1126/science.adf0460 · Cited by 55
“These neurons are notable for several reasons, including their putative role in memory functions ( 12 ) and potential uniqueness to humans ( 13 ).”
BackgroundResultKucewicz, M. T., Cimbálník, J., García‐Salinas, J. S., Brázdil, M., & Worrell, G. A. (2024) · Brain · doi:10.1093/brain/awae159 · Cited by 60
“For example, it is known that individual concept cells can specifically encode an abstract representation 17 or that neural populations can sparsely encode specific stimulus features 5,16 but less is known about HFOs.”
BackgroundSingle‐cell recordings in the human medial temporal lobe
Rey, H. G., Ison, M. J., Pedreira, C., Valentı́n, A., Alarcón, G., Selway, R., Richardson, M. P., & Quiroga, R. Q. (2014) · Journal of Anatomy · doi:10.1111/joa.12228 · Cited by 58
“Nowadays, the subacute implantation of intracranial electrodes for an extended period allows continuous monitoring of the electrical activity in areas where the epileptic focus is presumed to be potentially located.”
BackgroundInfluentialSelf-citationThagard, P. R. (2019) · doi:10.1093/oso/9780190678715.001.0001 · Cited by 56
Lifanov, J., Domingo, J. L., & Wimber, M. (2021) · Nature Communications · doi:10.1038/s41467-021-23288-5 · Cited by 69
“Concept cells in the hippocampus are in fact assumed to form the building blocks of episodic memories (Quiroga, 2012).”
BackgroundMnemonic networks in the hippocampal formation: From spatial maps to temporal and conceptual codes.
Milivojevic, B., & Doeller, C. F. (2013) · Journal of Experimental Psychology General · doi:10.1037/a0033746 · Cited by 61
Quiroga, R. Q. (2017) · Cell · doi:10.1016/j.cell.2017.05.012 · Cited by 52
Self-citationA theory of hippocampal function: New developments
Rolls, E. T., & Treves, A. (2024) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2024.102636 · Cited by 54
“…a spatial view or location associated with that person, the sound of the person ’ s voice, and the name of the person (Quian Quiroga et al., 2005; Quian Quiroga, 2012; Fried et al., 2014; Ison et al., 2015; Rey et al., 2015; De Falco et al., 2016; Rutishauser, 2019; Gastaldi et al., E.T. Rolls…”
BackgroundSliwa, J., Planté, A., Duhamel, J., & Wirth, S. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu257 · Cited by 57
Microelectrode recordings in human epilepsy: a case for clinical translation
Chari, A., Thornton, R. C., Tisdall, M. M., & Scott, R. C. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa082 · Cited by 53
“…amygdala, entorhinal cortex) have the longest time delay to peak response and are more selective compared to parahippocampal and inferotemporal areas (Mormann et al., 2008; Quiroga, 2012), implicating the mesial temporal lobe structures at the top of this cognitive processing hierarchy.”
BackgroundVolitional learning promotes theta phase coding in the human hippocampus
Pacheco, D., Zucca, R., Arsiwalla, X. D., Príncipe, A., Zhang, H., Rocamora, R., Axmacher, N., & Verschure, P. F. M. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021238118 · Cited by 53
“Single-unit studies revealed the importance of the time of firing with respect to hippocampal theta phase for memory processes (49) and their tuning to abstract representations irrespective of perceptual modalities (i.e., so-called “ concept cells ” ) (50).”
Mechanism and significance of global coherence in scalp EEG
Freeman, W. J. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.11.008 · Cited by 50
Plasticity of hippocampal memories in humans
Horner, A. J., & Doeller, C. F. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.02.004 · Cited by 54
“locations and people) in the real world appears to provide the ideal ‘building blocks’ [32] for event engrams (Figure 1b).”
BackgroundDistinct functions of ventral CA1 and dorsal CA2 in social memory
Watarai, A., Tao, K., Wang, M., & Okuyama, T. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.12.008 · Cited by 48
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices
Makarov, V. A., Lobov, S. A., Shchanikov, S., Mikhaylov, A. N., & Kazantsev, V. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.859874 · Cited by 48
“Concept cells can also fire to the spoken or written name of the same person (Quian Quiroga, 2012).”
BackgroundEncoding of facial features by single neurons in the human amygdala and hippocampus
Cao, R., Li, X., Brandmeir, N. J., & Wang, S. (2021) · Communications Biology · doi:10.1038/s42003-021-02917-1 · Cited by 48
Encoding of long-term associations through neural unitization in the human medial temporal lobe
Rey, H. G., Falco, E. D., Ison, M. J., Valentı́n, A., Alarcón, G., Selway, R., Richardson, M. P., & Quiroga, R. Q. (2018) · Nature Communications · doi:10.1038/s41467-018-06870-2 · Cited by 48
Self-citationSingle-Cell Responses to Face Adaptation in the Human Medial Temporal Lobe
Quiroga, R. Q., Kraskov, A., Mormann, F., Fried, I., & Koch, C. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.006 · Cited by 46
“From the continuous wide-band data, spike detection and sorting were carried out using ''Wave_Clus,'' an adaptive and stochastic clustering algorithm (Quian Quiroga et al., 2004).”
InfluentialSelf-citationLinguistic Aspects of Primary Progressive Aphasia
Grossman, M. (2017) · Annual Review of Linguistics · doi:10.1146/annurev-linguistics-011516-034253 · Cited by 46
“These structures have been linked with high-level aspects of visual perception (Mundy et al. 2013, Murray et al. 2007), mental imagery (Zeidman & Maguire 2016), and high-level visual-object representation (Kravitz et al. 2013, Murray et al. 2007, Quiroga 2012).”
BackgroundMental navigation and the neural mechanisms of insight
Aru, J., Drüke, M., Pikamäe, J., & Larkum, M. E. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2022.11.002 · Cited by 38
Rapcsak, S. Z. (2019) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-019-0960-9 · Cited by 47
The transition in the ventral stream from feature to real-world entity representations
Orban, G. A., Zhu, Q., & Vanduffel, W. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00695 · Cited by 46
Passemard, S., Verloès, A., de Villemeur, T. B., Boespflug‐Tanguy, O., Hernandez, K., Laurent, M., Isidor, B., Alberti, C., Pouvreau, N., Drunat, S., et al. (2015) · Cortex · doi:10.1016/j.cortex.2015.10.010 · Cited by 43
Functional (dissociative) retrograde amnesia
Markowitsch, H. J., & Staniloiu, A. (2016) · Handbook of clinical neurology · doi:10.1016/b978-0-12-801772-2.00036-9 · Cited by 41
“QuirogaR (2012).”
Bausch, M., Niediek, J., Reber, T. P., Mackay, S., Boström, J. P., Elger, C. E., & Mormann, F. (2021) · Nature Communications · doi:10.1038/s41467-021-26327-3 · Cited by 42
Concepts in the Brain: The View From Cross-linguistic Diversity
Kemmerer, D. (2019) · doi:10.1093/oso/9780190682620.001.0001 · Cited by 42
Grandmother cells and localist representations: a review of current thinking
Bowers, J. S. (2017) · Language Cognition and Neuroscience · doi:10.1080/23273798.2016.1267782 · Cited by 40
“In some ways this parallels Waydo, Kraskov, Quian Quiroga, Fried, and Koch (2006) analysis of the single-cell recording data collected by Quian Quiroga, Reddy, Kreiman, Koch, and Fried (2005).”
BackgroundMethodInfluentialMemory and Self–Neuroscientific Landscapes
Markowitsch, H. J. (2013) · ISRN Neuroscience · doi:10.1155/2013/176027 · Cited by 43
“Coming back to the question from above on localization versus antilocalization of brain functions [242], Quian Quiroga [182] promoted the idea of a compromise which is, however, inclined towards the direction of a close localization of function.”
BackgroundInfluentialThe neural basis of rapid unfamiliar face individuation with human intracerebral recordings
Jacques, C., Rossion, B., Volfart, A., Brissart, H., Colnat‐Coulbois, S., Maillard, L. G., & Jonas, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117174 · Cited by 43
“Neuroscientist 24, 582– 608. doi: 10.1177/1073858418769554 . ey, H.G., Gori, B., Chaure, F.J., Collavini, S., Blenkmann, A.O., Seoane, P., Seoane, E., Kochen, S., Quian Quiroga, R., 2020.”
InfluentialMorton, N. W., Zippi, E. L., Noh, S. M., & Preston, A. R. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2034-19.2021 · Cited by 47
“Semantic representations in hippocampus may facilitate reasoning about high-level item properties, such as conceptual categories (Mack et al., 2016) and social status (Tavares et al., 2015), while also serving as building blocks for representing new memories (Quiroga, 2012).”
Background
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review