Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-27T23:20:37.642Z Has data issue: false hasContentIssue false
  • English
  • Français

Composition and replay of mnemonic sequences: The contributions of REM and slow-wave sleep to episodic memory

Published online by Cambridge University Press:  21 November 2013

Sen Cheng  and
Markus Werning
Sen Cheng
Affiliation:
Department of Psychology, Ruhr University Bochum, 44780 Bochum, Germany. [email protected]://cns.mrg1.rub.de/ Mercator Research Group Structure of Memory, Ruhr University Bochum, 44780 Bochum, Germany
Markus Werning
Affiliation:
Mercator Research Group Structure of Memory, Ruhr University Bochum, 44780 Bochum, Germany Department of Philosophy II, Ruhr University Bochum, 44780 Bochum, Germany. [email protected]://www.rub.de/phil-lang/
Get access Rights & Permissions [Opens in a new window]

Abstract

We propose that rapid eye movement (REM) and slow-wave sleep contribute differently to the formation of episodic memories. REM sleep is important for building up invariant object representations that eventually recur to gamma-band oscillations in the neocortex. In contrast, slow-wave sleep is more directly involved in the consolidation of episodic memories through replay of sequential neural activity in hippocampal place cells.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 6 , December 2013 , pp. 610 - 611
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K. & Buzsaki, G. (1995) Gamma (40–100 Hz) oscillation in the hippocampus of the behaving rat. Journal of Neuroscience 15:47–60.Google Scholar
Buhry, L., Azizi, A. H. & Cheng, S. (2011) Reactivation, replay, and preplay: How it might all fit together. Neural Plasticity 2011:1–11.Google Scholar
Cheng, S. & Frank, L. M. (2008) New experiences enhance coordinated neural activity in the hippocampus. Neuron 57:303–13.CrossRefGoogle ScholarPubMed
Cheng, S. & Frank, L. M. (2011) The structure of networks that produce the transformation from grid cells to place cells. Neuroscience 197:293–306.Google Scholar
Diba, K. & Buzsaki, G. (2007) Forward and reverse hippocampal place-cell sequences during ripples. Nature Neuroscience 10:1241–42.Google Scholar
Ekstrom, A. D., Kahana, M. J., Caplan, J. B., Fields, T. A., Isham, E. A., Newman, E. L. & Fried, I. (2003) Cellular networks underlying human spatial navigation. Nature 425(6954):184–88.Google Scholar
Engel, A. K., Fries, P., König, P., Brecht, M. & Singer, W. (1999) Temporal binding, binocular rivalry, and consciousness. Consciousness and Cognition 8:128–51.Google Scholar
Fischer, S., Hallschmid, M., Elsner, A. L. & Born, J. (2002) Sleep forms memory for finger skills. PNAS USA 99:11987–91.Google Scholar
Fosse, M. J., Fosse, R., Hobson, J. A. & Stickgold, R. J. (2003) Dreaming and episodic memory: A functional dissociation. Journal of Cognitive Neuroscience 15(1):1–9.Google Scholar
Gais, S. & Born, J. (2004) Declarative memory consolidation: Mechanisms acting during human sleep. Learning and Memory 11(6):679–85.CrossRefGoogle ScholarPubMed
Gray, C. M., König, P., Engel, A. K. & Singer, W. (1989) Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties Nature 338:334–37.Google Scholar
Gupta, A. S., van der Meer, M. A., Touretzky, D. S. & Redish, A. D. (2012) Segmentation of spatial experience by hippocampal theta sequences. Nature Neuroscience 15:1032–39.Google Scholar
Karni, A., Tanne, D., Rubenstein, B. S., Askenasy, J. J. & Sagi, D. (1994) Dependence on REM sleep of overnight improvement of a perceptual skill. Science 265:679–82.CrossRefGoogle ScholarPubMed
Kripke, S. (1980) Naming and necessity. Harvard University Press .Google Scholar
Lee, A. K. & Wilson, M. A. (2002) Memory of sequential experience in the hippocampus during slow wave sleep. Neuron 36:1183–94.Google Scholar
Llinás, R. R. & Ribary, U. (1993) Coherent 40-Hz oscillation characterizes dream state in humans. Proceedings of the National Academy of Sciences USA 90:2078–81.Google Scholar
Louie, K. & Wilson, M. A. (2001) Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep. Neuron 29:145–56.Google Scholar
Maye, A. & Werning, M. (2004) Temporal binding of non-uniform objects. Neurocomputing 58–60:941–48.Google Scholar
O'Keefe, J. & Dostrovsky, J. (1971) The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. Brain Research 34:171–75.Google Scholar
Palm, G. & Sommer, F. (1992) Information capacity in recurrent McCulloch–Pitts networks with sparsely coded memory states. Network: Computation in Neural Systems 3:177–86.Google Scholar
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C. & Fried, I. (2005) Invariant visual representation by single neurons in the human brain. Nature 435:1102–107.Google Scholar
Scoville, W. B. & Milner, B. (1957) Loss of recent memory after bilateral hippocampal lesions. Journal of Neurology, Neurosurgery, and Psychiatry 20:11–21.CrossRefGoogle ScholarPubMed
Singer, W. (1999) Neuronal synchrony: A versatile code for the definition of relations? Neuron 24:49–65.Google Scholar
Singer, W. & Gray, C. M. (1995) Visual feature integration and the temporal correlation hypothesis. Annual Review of Neuroscience 18:555–86.Google Scholar
Stumpf, C. (1965) The fast component in the electrical activity of rabbit's hippocampus. Electroencephalography and Clinical Neurophysiology 18:477–86.Google Scholar
Tucker, M. A., Hirota, Y, Wamsley, E. J., Lau, H., Chaklader, A. & Fishbein, W. (2006) A daytime nap containing solely non-REM sleep enhances declarative but not procedural memory. Neurobiology of Learning and Memory 86:241–47.Google Scholar
Werning, M. (2003a) Synchrony and composition: Toward a cognitive architecture between classicism and connectionism. In: Applications of mathematical logic in philosophy and linguistics, ed. Löwe, B., Malzkorn, W. & Löwe, B., pp. 261–78. Kluwer.Google Scholar
Werning, M. (2003b) Ventral vs. dorsal pathway: The source of the semantic object/event and the syntactic noun/verb distinction. Behavioral and Brain Sciences 26:299–300.Google Scholar
Werning, M. (2005a) Neuronal synchronization, covariation, and compositional representation. In: The compositionality of meaning and content, vol. 2: Applications to linguistics, philosophy and neuroscience, ed. Machery, E., Werning, M. & Machery, E., pp. 283–12. Ontos Verlag.Google Scholar
Werning, M. (2005b) The temporal dimension of thought: Cortical foundations of predicative representation. Synthese 146(1/2):203–24.Google Scholar
Werning, M. (2012) Non-symbolic compositional representation and its neuronal foundation: Towards an emulative semantics. In: The Oxford handbook of compositionality, ed. Werning, M., Hinzen, W. & Werning, M., pp. 633–54. Oxford University Press.Google Scholar