Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

Theta-paced flickering between place-cell maps in the hippocampus

Abstract

The ability to recall discrete memories is thought to depend on the formation of attractor states in recurrent neural networks1,2,3,4. In such networks, representations can be reactivated reliably from subsets of the cues that were present when the memory was encoded, at the same time as interference from competing representations is minimized. Theoretical studies have pointed to the recurrent CA3 system of the hippocampus as a possible attractor network3,4. Consistent with predictions from these studies, experiments have shown that place representations in CA3 and downstream CA1 tolerate small changes in the configuration of the environment but switch to uncorrelated representations when dissimilarities become larger5,6,7,8,9. However, the kinetics supporting such network transitions, at the subsecond timescale, is poorly understood. Here we show in rats that instantaneous transformation of the spatial context does not change the hippocampal representation all at once but is followed by temporary bistability in the discharge activity of CA3 ensembles. Rather than sliding through a continuum of intermediate activity states, the CA3 network undergoes a short period of competitive flickering between preformed representations of the past and present environment before settling on the latter. Network flickers are extremely fast, often with complete replacement of the active ensemble from one theta cycle to the next. Within individual cycles, segregation is stronger towards the end, when firing starts to decline, pointing to the theta cycle as a temporal unit for expression of attractor states in the hippocampus. Repetition of pattern-completion processes across successive theta cycles may facilitate error correction and enhance discriminative power in the presence of weak and ambiguous input cues.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Procedures for analysing hippocampal transition dynamics.
Figure 2: Theta cycles correlate with either of the reference environments but rarely with both simultaneously.
Figure 3: Temporal dynamics of network flickering.

Similar content being viewed by others

References

  1. Hopfield, J. J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl Acad. Sci. USA 79, 2554–2558 (1982)

    Article  ADS  MathSciNet  CAS  Google Scholar 

  2. Amit, D. J., Gutfreund, H. & Sompolinsky, H. Storing infinite numbers of patterns in a spin-glass model of neural networks. Phys. Rev. Lett. 55, 1530–1533 (1985)

    Article  ADS  CAS  Google Scholar 

  3. McNaughton, B. L. & Morris, R. G. M. Hippocampal synaptic enhancement and information storage within a distributed memory system. Trends Neurosci. 10, 408–415 (1987)

    Article  Google Scholar 

  4. Treves, A. & Rolls, E. T. Computational constraints suggest the need for two distinct input systems to the hippocampal CA3 network. Hippocampus 2, 189–199 (1992)

    Article  CAS  Google Scholar 

  5. Muller, R. U. & Kubie, J. L. The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells. J. Neurosci. 7, 1951–1968 (1987)

    Article  CAS  Google Scholar 

  6. Lee, I., Yoganarasimha, D., Rao, G. & Knierim, J. J. Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3. Nature 430, 456–459 (2004)

    Article  ADS  CAS  Google Scholar 

  7. Leutgeb, J. K. et al. Progressive transformation of hippocampal neuronal representations in ‘morphed’ environments. Neuron 48, 345–358 (2005)

    Article  CAS  Google Scholar 

  8. Wills, T. J., Lever, C., Cacucci, F., Burgess, N. & O’Keefe, J. Attractor dynamics in the hippocampal representation of the local environment. Science 308, 873–876 (2005)

    Article  ADS  CAS  Google Scholar 

  9. Colgin, L. L. et al. Attractor-map versus autoassociation based attractor dynamics in the hippocampal network. J. Neurophysiol. 104, 35–50 (2010)

    Article  Google Scholar 

  10. O’Keefe, J. & Nadel, L. The Hippocampus as a Cognitive Map (Oxford Univ. Press, 1978)

    Google Scholar 

  11. Gothard, K. M., Skaggs, W. E., Moore, K. M. & McNaughton, B. L. Binding of hippocampal CA1 neural activity to multiple reference frames in a landmark-based navigation task. J. Neurosci. 16, 823–835 (1996)

    Article  CAS  Google Scholar 

  12. Samsonovich, A. & McNaughton, B. L. Path integration and cognitive mapping in a continuous attractor neural network model. J. Neurosci. 17, 5900–5920 (1997)

    Article  CAS  Google Scholar 

  13. Derdikman, D. et al. Fragmentation of grid cell maps in a multicompartment environment. Nature Neurosci. 12, 1325–1332 (2009)

    Article  CAS  Google Scholar 

  14. O’Keefe, J. & Speakman, A. Single unit activity in the rat during a spatial memory task. Exp. Brain Res. 68, 1–27 (1987)

    PubMed  Google Scholar 

  15. Gothard, K. M., Skaggs, W. E. & McNaughton, B. L. Dynamics of mismatch correction in the hippocampal ensemble code for space: interaction between path integration and environmental cues. J. Neurosci. 16, 8027–8040 (1996)

    Article  CAS  Google Scholar 

  16. Skaggs, W. E. & McNaughton, B. L. Spatial firing properties of hippocampal CA1 populations in an environment containing two visually identical regions. J. Neurosci. 18, 8455–8466 (1988)

    Article  Google Scholar 

  17. Leutgeb, S., Leutgeb, J. K., Treves, A., Moser, M.-B. & Moser, E. I. Distinct ensemble codes in hippocampal areas CA3 and CA1. Science 305, 1295–1298 (2004)

    Article  ADS  CAS  Google Scholar 

  18. Tsodyks, M. & Sejnowski, T. Associative memory and hippocampal place cells. Int. J. Neural Syst. 6, 81–86 (1995)

    Google Scholar 

  19. Romani, S. & Tsodyks, M. Continuous attractors with morphed/correlated maps. PLoS Comput. Biol. 6, e1000869 (2010)

    Article  ADS  MathSciNet  Google Scholar 

  20. McNaughton, B. L., Battaglia, F. P., Jensen, O., Moser, E. I. & Moser, M. B. Path integration and the neural basis of the ‘cognitive map’. Nature Rev. Neurosci. 7, 663–678 (2006)

    Article  CAS  Google Scholar 

  21. Johnson, A. & Redish, A. D. Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point. J. Neurosci. 27, 12176–12189 (2007)

    Article  CAS  Google Scholar 

  22. Fenton, A. A. & Muller, R. U. Place cell discharge is extremely variable during individual passes of the rat through the firing field. Proc. Natl Acad. Sci. USA 95, 3182–3187 (1998)

    Article  ADS  CAS  Google Scholar 

  23. Olypher, A. V., Lánský, P. & Fenton, A. A. Properties of the extra-positional signal in hippocampal place cell discharge derived from the overdispersion in location-specific firing. Neuroscience 111, 553–566 (2002)

    Article  CAS  Google Scholar 

  24. Jackson, J. & Redish, A. D. Network dynamics of hippocampal cell-assemblies resemble multiple spatial maps within single tasks. Hippocampus 17, 1209–1229 (2007)

    Article  Google Scholar 

  25. Kelemen, E. & Fenton, A. A. Dynamic grouping of hippocampal neural activity during cognitive control of two spatial frames. PLoS Biol. 8, e1000403 (2010)

    Article  Google Scholar 

  26. Blumenfeld, B., Preminger, S., Sagi, D. & Tsodyks, M. Dynamics of memory representations in networks with novelty-facilitated synaptic plasticity. Neuron 52, 383–394 (2006)

    Article  CAS  Google Scholar 

  27. Tsodyks, M. V., Skaggs, W. E., Sejnowski, T. J. & McNaughton, B. L. Population dynamics and theta rhythm phase precession of hippocampal place cell firing: a spiking neuron model. Hippocampus 6, 271–280 (1996)

    Article  CAS  Google Scholar 

  28. Akrami, A., Liu, Y., Treves, A. & Jagadeesh, B. Converging neuronal activity in inferior temporal cortex during the classification of morphed stimuli. Cereb. Cortex 19, 760–776 (2009)

    Article  Google Scholar 

  29. Harris, K. D., Csicsvari, J., Hirase, H., Dragoi, G. & Buzsáki, G. Organization of cell assemblies in the hippocampus. Nature 424, 552–556 (2003)

    Article  ADS  CAS  Google Scholar 

  30. Colgin, L. L. et al. Frequency of gamma oscillations routes flow of information in the hippocampus. Nature 462, 353–357 (2009)

    Article  ADS  CAS  Google Scholar 

Download references

Acknowledgements

We thank R. Skjerpeng, A. M. Amundsgård, K. Haugen, K. Jenssen, E. Kråkvik and H. Waade for technical assistance. The work was supported by the 7th Framework Programme of the European Commission (‘SPACEBRAIN’, grant agreement no. 200873), an Advanced Investigator Grant to M.-B.M. from the European Research Council (‘ENSEMBLE’), the Kavli Foundation, a Centre of Excellence grant from the Norwegian Research Council, and research projects MSMT CR LC554, 1M0517 and AV0Z50110509 at the Academy of Sciences of the Czech Republic.

Author information

Authors and Affiliations

Authors

Contributions

K.J., A.T., M.-B.M. and E.I.M. designed the study and discussed analyses and results; K.J. built the apparatus, K.J. and E.J.H. performed experiments, K.J. performed analyses; E.I.M. wrote the paper with input from all authors.

Corresponding authors

Correspondence to Karel Jezek or Edvard I. Moser.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

This file contains Supplementary Materials and Methods, Supplementary Figures 1-15 with legends and Supplementary Table 1. (PDF 21901 kb)

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jezek, K., Henriksen, E., Treves, A. et al. Theta-paced flickering between place-cell maps in the hippocampus. Nature 478, 246–249 (2011). https://doi.org/10.1038/nature10439

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature10439

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing