The DOI matches its Crossref record; 223 of the 224 references it cites were found in a registry or an index.
The Future of Memory: Remembering, Imagining, and the Brain
Open accessAbstract
During the past few years, there has been a dramatic increase in research examining the role of memory in imagination and future thinking. This work has revealed striking similarities between remembering the past and imagining or simulating the future, including the finding that a common brain network underlies both memory and imagination. Here, we discuss a number of key points that have emerged during recent years, focusing in particular on the importance of distinguishing between temporal and nontemporal factors in analyses of memory and imagination, the nature of differences between remembering the past and imagining the future, the identification of component processes that comprise the default network supporting memory-based simulations, and the finding that this network can couple flexibly with other networks to support complex goal-directed simulations. This growing area of research has broadened our conception of memory by highlighting the many ways in which memory supports adaptive functioning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“suggest that visual imagery may be an essential and unifying representational format potentiating these processes.”
From A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia (2020) · cites this paper as [25]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The default network has shown robust activation when people imagine future experiences [14, 22–23].”
From Creative Cognition and Brain Network Dynamics (2016) · cites this paper as [23]
The cited source says what the claim attributes to it.
In the citing paper
“Some key issues remain controversial, such as the nature of hippocampal contributions to episodic future thinking, and the related question of the extent to which neural and cognitive signatures of episodic future thinking are specific to imagining future experiences as opposed to atemporal imagining or imagining counterfactuals to past experiences”
From Episodic Future Thinking: Mechanisms and Functions (2017) · cites this paper as [4]
The cited source says what the claim attributes to it.
In the citing paper
“Studies on this topic have indicated that episodic memory may be recruited for additional tasks where particular details of past experiences are leveraged to generate, or assemble and maintain, mental content that incorporates specific elements of prior events.”
From Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking (2019) · cites this paper as Schacter et al. 2012
The cited source says what the claim attributes to it.
In the citing paper
“Strikingly, during the past decade, episodic memory, and the neural processes that support it, have been found to be engaged during tasks beyond simple remembering that may also involve the retrieval and reconstruction of episodic details for completion, such as future thinking or simulation, decision making, and problem solving (for review, see Schacter et al. 2012;Moscovitch et al. 2016;Schacter”
From Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking (2019) · cites this paper as Schacter et al. 2012
The cited source says what the claim attributes to it.
In the citing paper
“Recent conceptual work has suggested that engagement of the hippocampus (and core network more broadly) is exhibited during generative tasks that nominally involve the retrieval and reconstruction of episodic details for completion, such as simulation, decision making, and problem solving”
From Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking (2019) · cites this paper as Schacter et al. 2012
In the citing paper
“The DMN is associated with cognitive processes that require internally-directed or self-generated thought, such as mind-wandering10, future thinking11, perspective taking12, and mental simulation13.”
From Default and executive network coupling supports creative idea production (2015) · cites this paper as [11]
In the citing paper
“Indeed, functional magnetic resonance imaging studies on healthy subjects reveal that the same brain activation patterns are generated when people imagine the future as when they remember the past [21–24]”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [24]
In the citing paper
“It has been well demonstrated that people tend to remember better those life-episodes, which are distinct and personally meaningful and, of importance for the present study, relate to the self or self-consciousness [21,24,28,30,124–126].”
From First-person view of one’s body in immersive virtual reality: Influence on episodic memory (2019) · cites this paper as [24]
In the citing paper
“These regions, including RSC, are believed to form a network that mediates both prospective thought and episodic memory49.”
From Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe (2014) · cites this paper as [49]
In the citing paper
“Hippocampus and vmPFC are part of a MTL subsystem of the default network (74) that supports the formation of mental models based on mnemonic content during both memory retrieval and the simulation and encoding of future events (36, 75, 76).”
From Neural mechanisms of reactivation-induced updating that enhance and distort memory (2013) · cites this paper as [36]
In the citing paper
“This article will be included because of the information regarding the differences between memory and imagination which could come into play when investigating Integrated Information Theory.”
From The Ergonomics of Learning: A Proposed Update to Bloom’s Taxonomy (2025) · cites this paper as Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Self-citation(1983) · Medical Entomology and Zoology · Cited by 6,051
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
Tulving, E. (1985) · Canadian Psychology / Psychologie canadienne · doi:10.1037/h0080017 · Cited by 4,638
The construction of autobiographical memories in the self-memory system
Conway, M. A., & Pleydell-Pearce, C. W. (2000) · Psychological Review · doi:10.1037/0033-295x.107.2.261 · Cited by 4,089
Specific impairments of planning
Shallice, T. (1982) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1982.0082 · Cited by 3,741
Johnson, M. K., Hashtroudi, S., & Lindsay, D. S. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.1.3 · Cited by 3,392
Trope, Y., & Liberman, N. (2003) · Psychological Review · doi:10.1037/0033-295x.110.3.403 · Cited by 3,006
Flagged first, then by citations
1 of the 224 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Andrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102
Self-citationNeuroscience-Inspired Artificial Intelligence
Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.011 · Cited by 1,557
Self-citationMind-wandering as spontaneous thought: a dynamic framework
Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Andrews-Hanna, J. R. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.113 · Cited by 1,376
Self-citationCreative Cognition and Brain Network Dynamics
Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.004 · Cited by 1,105
Self-citationEpisodic 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
Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L. (2015) · Nature Neuroscience · doi:10.1038/nn.4125 · Cited by 859
Dolan, R. J., & Dayan, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.007 · Cited by 977
Organizing conceptual knowledge in humans with a gridlike code
Constantinescu, A. O., O’Reilly, J. X., & Behrens, T. E. J. (2016) · Science · doi:10.1126/science.aaf0941 · Cited by 937
The human imagination: the cognitive neuroscience of visual mental imagery
Pearson, J. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0202-9 · Cited by 820
Episodic Future Thinking: Mechanisms and Functions
Schacter, D. L., Benoit, R. G., & Szpunar, K. K. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.06.002 · Cited by 771
“Although this issue was addressed in several early studies of episodic future thinking (for review, see [4]), novel approaches have appeared during the past few years [42 ,50,51].”
BackgroundSelf-citationDefault and executive network coupling supports creative idea production
Beaty, R. E., Benedek, M., Barry Kaufman, S., & Silvia, P. J. (2015) · Scientific Reports · doi:10.1038/srep10964 · Cited by 705
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.039 · Cited by 690
Self-citationTowards a universal taxonomy of macro-scale functional human brain networks
Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683
Self-citationAnterior hippocampus: the anatomy of perception, imagination and episodic memory
Zeidman, P., & Maguire, E. A. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.24 · Cited by 542
A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition
Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417144111 · Cited by 539
Self-citationWhy the COVID-19 pandemic is a traumatic stressor
Bridgland, V. M. E., Moeck, E. K., Green, D. M., Swain, T. L., Nayda, D. M., Matson, L. A., Hutchison, N. P., & Takarangi, M. K. T. (2021) · PLOS ONE · doi:10.1371/journal.pone.0240146 · Cited by 501
Reinforcement learning and episodic memory in humans and animals: an integrative framework
Gershman, S. J., & Daw, N. D. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033625 · Cited by 446
The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation
Joo, H. R., & Frank, L. M. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0077-1 · Cited by 430
Social cognition and the cerebellum: A meta-analysis of over 350 fMRI studies
Overwalle, F. V., Baetens, K., Mariën, P., & Vandekerckhove, M. M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.033 · Cited by 484
Creativity and the default network: A functional connectivity analysis of the creative brain at rest
Beaty, R. E., Benedek, M., Wilkins, R. W., Jauk, E., Fink, A., Silvia, P. J., Hodges, D. A., Koschutnig, K., & Neubauer, A. C. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.019 · Cited by 456
Mind-Wandering With and Without Intention
Seli, P., Risko, E. F., Smilek, D., & Schacter, D. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.010 · Cited by 509
Self-citationDecision Making and Sequential Sampling from Memory
Shadlen, M. N., & Shohamy, D. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.036 · Cited by 434
To create or to recall? Neural mechanisms underlying the generation of creative new ideas
Benedek, M., Jauk, E., Fink, A., Koschutnig, K., Reishofer, G., Ebner, F., & Neubauer, A. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.021 · Cited by 407
The Role of Hippocampal Replay in Memory and Planning
Ólafsdóttir, H. F., Bush, D., & Barry, C. (2018) · Current Biology · doi:10.1016/j.cub.2017.10.073 · Cited by 413
Memory integration: neural mechanisms and implications for behavior
Schlichting, M. L., & Preston, A. R. (2014) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2014.07.005 · Cited by 442
The hippocampus: a manifesto for change
Maguire, E. A., & Mullally, S. L. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0033650 · Cited by 393
Benoit, R. G., & Schacter, D. L. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.06.034 · Cited by 366
Self-citationThe hippocampus and related neocortical structures in memory transformation
Sekeres, M. J., Winocur, G., & Moscovitch, M. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.05.006 · Cited by 370
Is memory for remembering? Recollection as a form of episodic hypothetical thinking
Brigard, F. D. (2013) · Synthese · doi:10.1007/s11229-013-0247-7 · Cited by 404
Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation
Dayan, P., & Berridge, K. C. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-014-0277-8 · Cited by 357
Zacks, J. M. (2020) · Annual Review of Psychology · doi:10.1146/annurev-psych-010419-051101 · Cited by 397
The Pivotal Role of Semantic Memory in Remembering the Past and Imagining the Future
Irish, M., & Piguet, O. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00027 · Cited by 345
Alpha power increases in right parietal cortex reflects focused internal attention
Benedek, M., Schickel, R. J., Jauk, E., Fink, A., & Neubauer, A. C. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.02.010 · Cited by 354
Hippocampal place cells construct reward related sequences through unexplored space
Ólafsdóttir, H. F., Barry, C., Saleem, A. B., Hassabis, D., & Spiers, H. J. (2015) · eLife · doi:10.7554/elife.06063 · Cited by 319
Self-citationMental Imagery in Depression: Phenomenology, Potential Mechanisms, and Treatment Implications
Holmes, E. A., Blackwell, S. E., Burnett Heyes, S., Renner, F., & Raes, F. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-092925 · Cited by 325
Baird, B., Smallwood, J., Gorgolewski, K. J., & Margulies, D. S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0786-13.2013 · Cited by 315
From 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
Why do we remember? The communicative function of episodic memory
Mahr, J. B., & Csibra, G. (2017) · Behavioral and Brain Sciences · doi:10.1017/s0140525x17000012 · Cited by 371
Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI
Bréchet, L., Brunet, D., Birot, G., Rolf Gruetter, A., Michel, C. M., & Jorge, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.029 · Cited by 339
Creating metaphors: the neural basis of figurative language production
Benedek, M., Beaty, R., Jauk, E., Koschutnig, K., Fink, A., Silvia, P. J., Dunst, B., & Neubauer, A. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.046 · Cited by 328
A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia
Dawes, A. J., Keogh, R., Andrillon, T., & Pearson, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-65705-7 · Cited by 357
Andrews-Hanna, J. R., Saxe, R., & Yarkoni, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.032 · Cited by 313
Constant Sub-second Cycling between Representations of Possible Futures in the Hippocampus
Kay, K., Chung, J. E., Sosa, M., Schor, J. S., Karlsson, M. P., Larkin, M. C., Liu, D. F., & Frank, L. M. (2020) · Cell · doi:10.1016/j.cell.2020.01.014 · Cited by 312
Ruby, F. J. M., Smallwood, J., Engen, H., & Singer, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077554 · Cited by 275
Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe
Marchette, S. A., Vass, L. K., Ryan, J., & Epstein, R. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3834 · Cited by 287
Benedek, M., & Fink, A. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.11.002 · Cited by 331
Anxiety and depression: toward overlapping and distinctive features
Eysenck, M. W., & Fajkowska, M. (2017) · Cognition & Emotion · doi:10.1080/02699931.2017.1330255 · Cited by 281
Imagine all the people: how the brain creates and uses personality models to predict behavior
Hassabis, D., Spreng, R. N., Rusu, A. A., Robbins, C. A., Mar, R. A., & Schacter, D. L. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht042 · Cited by 247
Self-citationThe neuroscience of musical improvisation
Beaty, R. E. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.004 · Cited by 261
On the Role of the Ventromedial Prefrontal Cortex in Self-Processing: The Valuation Hypothesis
D’Argembeau, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00372 · Cited by 296
Northoff, G., Wainio‐Theberge, S., & Evers, K. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2019.05.002 · Cited by 272
Episodic future thinking: expansion of the temporal window in individuals with alcohol dependence
Snider, S. E., LaConte, S. M., & Bickel, W. K. (2016) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.13112 · Cited by 241
A distributed, hierarchical and recurrent framework for reward-based choice
Hunt, L. T., & Hayden, B. Y. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.7 · Cited by 245
Memory, Imagination, and Predicting the Future
Mullally, S. L., & Maguire, E. A. (2013) · The Neuroscientist · doi:10.1177/1073858413495091 · Cited by 278
Creativity and Memory: Effects of an Episodic-Specificity Induction on Divergent Thinking
Madore, K. P., Addis, D. R., & Schacter, D. L. (2015) · Psychological Science · doi:10.1177/0956797615591863 · Cited by 242
Self-citationBenoit, R. G., Szpunar, K. K., & Schacter, D. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419274111 · Cited by 223
Self-citationThe Functional Theory of Counterfactual Thinking: New Evidence, New Challenges, New Insights
Roese, N. J., & Epstude, K. (2017) · Advances in experimental social psychology · doi:10.1016/bs.aesp.2017.02.001 · Cited by 250
Haber, S. N., & Behrens, T. E. J. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.031 · Cited by 230
Northoff, G., & Huang, Z. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.07.013 · Cited by 229
Imaginary politics: Climate change and making the future
Milkoreit, M. (2017) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.249 · Cited by 135
Jing, H. G., Madore, K. P., & Schacter, D. L. (2016) · Journal of Experimental Psychology: General · doi:10.1037/xge0000142 · Cited by 214
Self-citationMadore, K. P., Gaesser, B., & Schacter, D. L. (2014) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0034885 · Cited by 208
Self-citationParallel distributed networks dissociate episodic and social functions within the individual
DiNicola, L. M., Braga, R. M., & Buckner, R. L. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00529.2019 · Cited by 230
Schacter, D. L., Benoit, R. G., De Brigard, F., & Szpunar, K. K. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.12.008 · Cited by 211
Self-citationMental imagery as a “motivational amplifier” to promote activities
Renner, F., Murphy, F. C., Ji, J. L., Manly, T., & Holmes, E. A. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.02.002 · Cited by 229
Konishi, M., McLaren, D. G., Engen, H., & Smallwood, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0132209 · Cited by 194
Pezzulo, G., Barsalou, L. W., Cangelosi, A., Fischer, M. H., McRae, K., & Spivey, M. J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00612 · Cited by 229
Hippocampal and prefrontal processing of network topology to simulate the future
Javadi, A.-H., Emo, B., Howard, L. R., Zisch, F. E., Yu, Y., Knight, R., Pinelo Silva, J., & Spiers, H. J. (2017) · Nature Communications · doi:10.1038/ncomms14652 · Cited by 207
Remembering what could have happened: Neural correlates of episodic counterfactual thinking
Brigard, F. D., Addis, D. R., Ford, J. H., Schacter, D. L., & Giovanello, K. S. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.01.015 · Cited by 206
Self-citationSchacter, D. L., & Madore, K. P. (2016) · Memory Studies · doi:10.1177/1750698016645230 · Cited by 203
Self-citationThe brain and its time: intrinsic neural timescales are key for input processing
Golesorkhi, M., Gomez-Pilar, J., Zilio, F., Berberian, N., Wolff, A., Yagoub, M. C. E., & Northoff, G. (2021) · Communications Biology · doi:10.1038/s42003-021-02483-6 · Cited by 198
Beaty, R. E., Christensen, A. P., Benedek, M., Silvia, P. J., & Schacter, D. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.012 · Cited by 208
Self-citationAre episodic memories special? On the sameness of remembered and imagined event simulation
Addis, D. R. (2018) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2018.1439071 · Cited by 193
Self-citationNoise as a Resource for Computation and Learning in Networks of Spiking Neurons
Maass, W. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2310593 · Cited by 195
Bainbridge, W. A., Pounder, Z., Eardley, A. F., & Baker, C. I. (2021) · Cortex · doi:10.1016/j.cortex.2020.11.014 · Cited by 195
Awake Reactivation of Prior Experiences Consolidates Memories and Biases Cognition
Tambini, A., & Davachi, L. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.07.008 · Cited by 190
The evolution of stories: from mimesis to language, from fact to fiction
Boyd, B. (2017) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1444 · Cited by 212
A Role for the Left Angular Gyrus in Episodic Simulation and Memory
Thakral, P. P., Madore, K. P., & Schacter, D. L. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1319-17.2017 · Cited by 187
Self-citationConstructing Experience: Event Models from Perception to Action
Richmond, L. L., & Zacks, J. M. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.08.005 · Cited by 201
Episodic simulation and episodic memory can increase intentions to help others
Gaesser, B., & Schacter, D. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402461111 · Cited by 175
Self-citationMemory and law: what can cognitive neuroscience contribute?
Schacter, D. L., & Loftus, E. F. (2013) · Nature Neuroscience · doi:10.1038/nn.3294 · Cited by 188
Self-citationStawarczyk, D., & D’Argembeau, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22818 · Cited by 203
Concepts and Compositionality: In Search of the Brain's Language of Thought
Frankland, S., & Greene, J. D. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-122216-011829 · Cited by 198
Gilboa, A., & Moscovitch, M. (2021) · Neuron · doi:10.1016/j.neuron.2021.04.025 · Cited by 174
Building concepts one episode at a time: The hippocampus and concept formation
Mack, M. L., Love, B. C., & Preston, A. R. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.07.061 · Cited by 183
Schafer, M., & Schiller, D. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.006 · Cited by 186
Mental imagery of speech implicates two mechanisms of perceptual reactivation.
Tian, X., Zarate, J. M., & Poeppel, D. (2016) · Cortex · doi:10.1016/j.cortex.2016.01.002 · Cited by 178
Dynamic network interactions supporting internally-oriented cognition
Zabelina, D. L., & Andrews‐Hanna, J. R. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.06.014 · Cited by 183
The fate of memory: Reconsolidation and the case of Prediction Error
Fernández, R. S., Boccia, M. M., & Pedreira, M. E. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.004 · Cited by 189
Beaty, R. E., Chen, Q., Christensen, A. P., Qiu, J., Silvia, P. J., & Schacter, D. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23884 · Cited by 184
Self-citationBidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting
Chen, C., Liu, Y., Chen, L., & Chengqi Zhang, B. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3183903 · Cited by 186
The role of memory in creative ideation
Benedek, M., Beaty, R. E., Schacter, D. L., & Kenett, Y. N. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00158-z · Cited by 202
Self-citationBrain mechanisms associated with internally directed attention and self-generated thought
Benedek, M., Jauk, E., Beaty, R. E., Fink, A., Koschutnig, K., & Neubauer, A. C. (2016) · Scientific Reports · doi:10.1038/srep22959 · Cited by 175
Grid-cell representations in mental simulation
Bellmund, J. L. S., Deuker, L., Schröder, T. N., & Doeller, C. F. (2016) · eLife · doi:10.7554/elife.17089 · Cited by 187
Constructing, Perceiving, and Maintaining Scenes: Hippocampal Activity and Connectivity
Zeidman, P., Mullally, S. L., & Maguire, E. A. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu266 · Cited by 187
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network
Balaguer, J., Spiers, H., Hassabis, D., & Summerfield, C. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.037 · Cited by 163
Self-citationXu, X., Yuan, H., & Lei, X. (2016) · Scientific Reports · doi:10.1038/srep21001 · Cited by 177
Pezzulo, G., Rigoli, F., & Chersi, F. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00092 · Cited by 163
Frequency, characteristics, and perceived functions of emotional future thinking in daily life
Barsics, C., Van der Linden, M., & D'Argembeau, A. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2015.1051560 · Cited by 152
Bulley, A., Henry, J. D., & Suddendorf, T. (2016) · Review of General Psychology · doi:10.1037/gpr0000061 · Cited by 166
Metadata
- Authors
- Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K.
- Affiliations
- Harvard University (US)
- University of Auckland (NZ)
- Gatsby Computational Neuroscience Unit (GB)
- Cornell University (US)
- Corresponding author
- Schacter, Daniel L.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 76
- Issue
- 4
- Pages
- 677-694
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3815616
- OpenAlex
- W2166620359
- Cited by
- 1,398
- References
- 224
- Citations by year
- 2026: 75 · 2025: 87 · 2024: 97 · 2023: 103 · 2022: 88 · 2021: 100 · 2020: 194 · 2019: 106 · 2018: 115 · 2017: 108 · 2016: 104 · 2015: 78 · 2014: 82 · 2013: 53 · 2012: 3
- FWCI
- 5.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 385 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Institute of Mental Health (MH060941)
- National Institute on Aging (AG08441)
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- memory, imagination, future thinking, default mode network, artificial neural networks, adaptive cognition
- MeSH terms
- Animals, Brain, Humans, Imagination, Memory, Time Factors
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
