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On pattern completion, cues and future-oriented cognition

Published online by Cambridge University Press:  14 November 2023

Donna Rose Addis
Affiliation:
Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada [email protected] https://www.baycrest.org/Baycrest/Research-Innovation/People/Researchers/Scientists/Dr-Donna-Rose-Addis Department of Psychology, University of Toronto, Toronto, ON, Canada School of Psychology, The University of Auckland, Auckland, New Zealand
Karl K. Szpunar
Affiliation:
Department of Psychology, Toronto Metropolitan University, Toronto, ON, Canada [email protected] https://www.torontomu.ca/psychology/about-us/our-people/faculty/karl-szpunar/

Abstract

Barzykowski and Moulin's view on involuntary autobiographical memory focuses on automatic activation of representations and inhibitory control mechanisms. We discuss how and when a known neural mechanism – pattern completion – may result in involuntary autobiographical memories, the types of cues that may elicit this phenomenon and consider interactions with future-oriented cognition.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Barzykowski and Moulin (B&M) synthesize considerable evidence to support their primary thesis that involuntary autobiographical memories (IAMs) occur in the context of constant and automatic activation of autobiographical fragments in the absence of inhibitory control mechanisms; when the activation of a given memory representation passes a threshold, it is involuntarily retrieved. While we agree with their proposed model, here we discuss how another critical mechanism in direct retrieval – pattern completion – may result in IAMs, the types of cues that may elicit this phenomenon and how this process interacts with future-related cognition.

Pattern completion, the process of recalling an entire memory representation when cued with a subset of its elements, was originally proposed by Marr (Reference Marr1971) as a fundamental computation of the hippocampus along with pattern separation. He argued that whether incoming information elicits pattern completion depends on the degree to which it matches a previously stored representation, suggesting that as few as one-third of the elements may be sufficient to elicit recall (Becker, Reference Becker, Vaina and Passingham2016). We suggest that B&M's proposal is broadly consistent with this and later computational models of pattern completion and separation (McClelland, McNaughton, & O'Reilly, Reference McClelland, McNaughton and O'Reilly1995; Norman & O'Reilly, Reference Norman and O'Reilly2003) in two ways. First, the hippocampus is argued to behave in a thresholded manner depending on the overlap of the cue with the stored memory: If the threshold is met, the cue is pattern completed and retrieval ensues (Elfman, Aly, & Yonelinas, Reference Elfman, Aly and Yonelinas2014; see Eichenbaum, Yonelinas, & Ranganath, Reference Eichenbaum, Yonelinas and Ranganath2007, for a review of neuroimaging evidence of thresholded hippocampal signals). Second, once this threshold is met, retrieval occurs automatically via an autoassociation network mediated by the dense recurrent connections within CA3, resulting in a pattern of excitation in the output layer which is then back-projected to the complete set of neocortical regions representing the memory (Rolls, Reference Rolls2016; for a recent review of empirical evidence, see Becker, Reference Becker, Vaina and Passingham2016).

Therefore, we argue that IAMs occur when content received by the hippocampus overlaps sufficiently with an existing memory as to trigger the automatic “completion” of the whole representation in neocortical regions. While conceptually similar to the proposed threshold model, in that overlap between the cue and the content must pass a threshold, pattern completion reflects a known neural mechanism by which automatic retrieval can occur. As a fundamental retrieval mechanism, pattern completion should act at all levels of the memory hierarchy (Conway & Pleydell-Pearce, Reference Conway and Pleydell-Pearce2000), including not just specific events but also general events and lifetime periods shown to engage the hippocampus (e.g., Ford, Addis, & Giovanello, Reference Ford, Addis and Giovanello2011).

Although B&M suggest that cues are central to their account of spontaneous memory phenomena, little consideration is given to why some cues, whether present in the external environment or generated internally by the individual, are more likely to evoke IAMs than other cues. It is likely that, in everyday situations, a specific combination of cues is required to provide sufficient overlap with the stored representation in order for pattern completion to occur (Marr, Reference Marr1971), explaining why IAMs do not occur all the time. Moreover, it may be that the interaction between cues and internal states is important. Along these lines, Klinger and colleagues have suggested that current concerns, or the state of an organism between commitment to a goal and later accomplishment or abandonment of that goal (Klinger, Reference Klinger, Pope and Singer1978), make goal-relevant cues especially salient and likely to evoke spontaneous thoughts and memories (e.g., Klinger & Cox, Reference Klinger, Cox, Cox and Klinger2004).

Consider an individual who takes the same train ride into work each day. While looking out the window of the train, the individual is exposed to many cues (e.g., a billboard featuring an airplane; a junkyard full of old automobiles) that could, but typically do not, produce spontaneous retrieval of past experiences (Berntsen, Reference Berntsen2009). However, if the individual were to set a goal (e.g., a planned trip) related to one of those cues (e.g., a billboard featuring an airplane), then that cue may be more likely to evoke not only thoughts about the goal, but conceivably some relevant experience from the past (e.g., a previous trip). Of course, in this scenario, the memory that comes to be evoked by the now-relevant cue may be more likely to surpass some threshold of activation due to its relation to the goal, but it is important not to overlook the fact that the cue itself is also more salient (Klinger, Reference Klinger2013). Understanding how goals, cues, and representations independently and/or jointly determine the occurrence of spontaneous memory phenomena, such as IAMs, are issues warranting further attention in the literature (e.g., Cole & Berntsen, Reference Cole and Berntsen2016).

Consideration of goals alongside cues and representations may help shed light on other related phenomena. For instance, one important function of memory is to retain simulations related to predictions, intentions, and plans for the future (Ingvar, Reference Ingvar1985; Szpunar, Addis, McLelland, & Schacter, Reference Szpunar, Addis, McLelland and Schacter2013). Recent studies have shown that simulations of the future are especially likely to come to mind in a spontaneous manner if they have been thought about on some previous occasion (e.g., Jeunehomme & D'Argembeau, Reference Jeunehomme and D'Argembeau2016). This is likely the case because simulations result in memory representations that can be directly elicited by goal-relevant cues (for similar considerations in the prospective memory literature, see McDaniel & Einstein, Reference McDaniel and Einstein2000; for more general considerations of the role of pattern completion mechanisms in future-oriented cognition, see Falandays, Nguyen, & Spivey, Reference Falandays, Nguyen and Spivey2021). Although more speculative, it is possible that in some situations, goal-relevant cues only weakly evoke memories of the future, along the lines of the continuum proposed by B&M, giving rise to a spontaneous familiarity-based feeling that one should be doing something in the present moment (a “déjà vu for the future”) as opposed to the more classic feeling that one has already experienced the present moment.

In sum, for a more complete account of IAMs and related phenomena, it will be important to consider more precisely the neural mechanism(s) governing the interaction between cues and representations, and why specific cues and representations are especially relevant and/or accessible at any moment in time.

Financial support

D. R. A. is funded by the Canada 150 Research Chairs Program. K. K. S. is funded by an Early Researcher Award from the Government of Ontario, the Natural Sciences and Engineering Research Council of Canada (RGPIN-2020-04618) and the Social Science and Humanities Research Council of Canada (430-2020-00515).

Competing interest

None.

References

Becker, S. (2016). Marr's theory of the hippocampus as a simple memory: Decades of subsequent research suggest it is not that simple. In Vaina, L. M. & Passingham, R. E. (Eds.), Computational theories and their implementation in the brain: The legacy of David Marr (pp. 159178). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198749783.003.0007CrossRefGoogle Scholar
Berntsen, D. (2009). Involuntary autobiographical memories: An introduction to the unbidden past. Cambridge University Press. https://doi.org/10.1017/CBO9780511575921CrossRefGoogle Scholar
Cole, S. N., & Berntsen, D. (2016). Do future thoughts reflect personal goals? Current concerns and mental time travel into the past and future. Quarterly Journal of Experimental Psychology, 69, 273284. https://doi.org/10.1080/17470218.2015.1044542CrossRefGoogle ScholarPubMed
Conway, M. A., & Pleydell-Pearce, C. W. (2000). The construction of autobiographical memories in the self-memory system. Psychological Review, 107, 261288. https://doi.org/10.1037/0033-295x.107.2.261CrossRefGoogle ScholarPubMed
Eichenbaum, H., Yonelinas, A. P., & Ranganath, C. (2007). The medial temporal lobe and recognition memory. Annual Review of Neuroscience, 30, 123152. https://doi.org/10.1146/annurev.neuro.30.051606.094328CrossRefGoogle ScholarPubMed
Elfman, K. W., Aly, M., & Yonelinas, A. P. (2014). Neurocomputational account of memory and perception: Thresholded and graded signals in the hippocampus. Hippocampus, 24, 16721686. https://doi.org/10.1002/hipo.22345CrossRefGoogle ScholarPubMed
Falandays, J. B., Nguyen, B. T., & Spivey, M. J. (2021). Is prediction nothing more than multi-scale pattern completion of the future? Brain Research, 1768, 147578. https://doi.org/10.1016/j.brainres.2021.147578CrossRefGoogle ScholarPubMed
Ford, J. H., Addis, D. R., & Giovanello, K. S. (2011). Differential neural activity during search of specific and general autobiographical memories elicited by musical cues. Neuropsychologia, 49, 25142526. https://doi.org/10.1016/j.neuropsychologia.2011.04.032CrossRefGoogle ScholarPubMed
Ingvar, D. H. (1985). “Memory of the future”: An essay on the temporal organization of conscious awareness. Human Neurobiology, 4, 127136.Google ScholarPubMed
Jeunehomme, O., & D'Argembeau, A. (2016). Prevalence and determinants of direct and generative modes of production of episodic future thoughts in the word cueing paradigm. Quarterly Journal of Experimental Psychology, 69, 254272. https://doi.org/10.1080/17470218.2014.993663CrossRefGoogle ScholarPubMed
Klinger, E. (1978). Modes of normal conscious flow. In Pope, K. S. & Singer, J. L. (Eds.), The stream of consciousness (pp. 225258). Plenum. https://doi.org/10.1007/978-1-4684-2466-9_9CrossRefGoogle Scholar
Klinger, E. (2013). Goal commitments and the content of thoughts and dreams: Basic principles. Frontiers in Psychology, 4, 415. https://doi.org/10.3389/fpsyg.2013.00415CrossRefGoogle ScholarPubMed
Klinger, E., & Cox, W. M. (2004). Motivation and the theory of current concerns. In Cox, W. M. & Klinger, E. (Eds.), Handbook of motivational counseling: Concepts, approaches, and assessment (pp. 327). John Wiley & Sons Ltd. https://doi.org/10.1002/9780470713129.ch1Google Scholar
Marr, D. (1971). Simple memory: A theory for archicortex. Philosophical Transactions of the Royal Society B-Biological Sciences, 262, 2381. https://doi.org/10.1098/rstb.1971.0078Google ScholarPubMed
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. Psychological Review, 102, 419457. https://doi.org/10.1037/0033-295X.102.3.419CrossRefGoogle ScholarPubMed
McDaniel, M. A., & Einstein, G. O. (2000). Strategic and automatic processes in prospective memory retrieval: A multiprocess framework. Applied Cognitive Psychology, 14, S127S144. https://doi.org/10.1002/acp.775CrossRefGoogle Scholar
Norman, K. A., & O'Reilly, R. C. (2003). Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach. Psychological Review, 110, 611646. https://doi.org/10.1037/0033-295X.110.4.611CrossRefGoogle ScholarPubMed
Rolls, E. T. (2016). Pattern separation, completion, and categorisation in the hippocampus and neocortex. Neurobiology of Learning and Memory, 129, 428. https://doi.org/10.1016/j.nlm.2015.07.008CrossRefGoogle ScholarPubMed
Szpunar, K. K., Addis, D. R., McLelland, V. C., & Schacter, D. L. (2013). Memories of the future: New insights into the adaptive value of episodic memory. Frontiers in Behavioral Neuroscience, 7, 47. https://doi.org/10.3389/fnbeh.2013.0004CrossRefGoogle ScholarPubMed