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Analysis of Hippocampal Memory Replay Using Neural Population Decoding

  • Fabian Kloosterman
Protocol
Part of the Neuromethods book series (NM, volume 67)

Abstract

Large-scale recording of neural activity in waking animals provides us with a window on computations performed in the brain during behavior. In order to better understand these computations, population decoding techniques are used to study what information about the external environment is represented by neural ensemble activity. Decoding approaches are especially appealing when neural activity does not reflect the actual sensory experience or motor output, but is generated by internal cognitive processes, such as planning, memory, and decision making. This chapter describes the background of Bayesian decoding and outlines the general procedures for decoding ensemble activity during cognitive processes. The power of this method is demonstrated by applying it to recordings of hippocampal place cell activity in order to identify and characterize hippocampal memory replay.

Key words

Neural ensemble recording Spike train decoding Hippocampus Memory replay 

Notes

Acknowledgments

I would like to thank Audrey Chang, Zhe Chen and Matt Wilson for their comments on an earlier version of this manuscript. Many thanks to Tom Davidson for the discussions about the methods presented in this chapter and for generously providing me with hippocampal unit data to prepare some of the figures.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Fabian Kloosterman
    • 1
  1. 1.Department of Brain and Cognitive Sciences, Picower Institute for Learning and MemoryMassachusetts Institute of TechnologyCambridgeUSA

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