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Graded persistent activity in entorhinal cortex neurons

Author

Listed:
  • Alexei V. Egorov

    (Montreal Neurological Institute and McGill University)

  • Bassam N. Hamam

    (Montreal Neurological Institute and McGill University)

  • Erik Fransén

    (Royal Institute of Technology)

  • Michael E. Hasselmo

    (Boston University)

  • Angel A. Alonso

    (Montreal Neurological Institute and McGill University)

Abstract

Working memory represents the ability of the brain to hold externally or internally driven information for relatively short periods of time1,2. Persistent neuronal activity is the elementary process underlying working memory but its cellular basis remains unknown. The most widely accepted hypothesis is that persistent activity is based on synaptic reverberations in recurrent circuits. The entorhinal cortex in the parahippocampal region is crucially involved in the acquisition, consolidation and retrieval of long-term memory traces for which working memory operations are essential2. Here we show that individual neurons from layer V of the entorhinal cortex—which link the hippocampus to extensive cortical regions3—respond to consecutive stimuli with graded changes in firing frequency that remain stable after each stimulus presentation. In addition, the sustained levels of firing frequency can be either increased or decreased in an input-specific manner. This firing behaviour displays robustness to distractors; it is linked to cholinergic muscarinic receptor activation, and relies on activity-dependent changes of a Ca2+-sensitive cationic current. Such an intrinsic neuronal ability to generate graded persistent activity constitutes an elementary mechanism for working memory.

Suggested Citation

  • Alexei V. Egorov & Bassam N. Hamam & Erik Fransén & Michael E. Hasselmo & Angel A. Alonso, 2002. "Graded persistent activity in entorhinal cortex neurons," Nature, Nature, vol. 420(6912), pages 173-178, November.
  • Handle: RePEc:nat:nature:v:420:y:2002:i:6912:d:10.1038_nature01171
    DOI: 10.1038/nature01171
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    Citations

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    Cited by:

    1. Emili Balaguer-Ballester & Christopher C Lapish & Jeremy K Seamans & Daniel Durstewitz, 2011. "Attracting Dynamics of Frontal Cortex Ensembles during Memory-Guided Decision-Making," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-19, May.
    2. Krishna Choudhary & Sven Berberich & Thomas T. G. Hahn & James M. McFarland & Mayank R. Mehta, 2024. "Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Kyriaki Sidiropoulou & Panayiota Poirazi, 2012. "Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-15, April.
    4. Qiming Shao & Ligu Chen & Xiaowan Li & Miao Li & Hui Cui & Xiaoyue Li & Xinran Zhao & Yuying Shi & Qiang Sun & Kaiyue Yan & Guangfu Wang, 2024. "A non-canonical visual cortical-entorhinal pathway contributes to spatial navigation," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    5. Chong Guo & Vincent Huson & Evan Z. Macosko & Wade G. Regehr, 2021. "Graded heterogeneity of metabotropic signaling underlies a continuum of cell-intrinsic temporal responses in unipolar brush cells," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    6. Vanessa F Descalzo & Roberto Gallego & Maria V Sanchez-Vives, 2014. "Adaptation in the Visual Cortex: Influence of Membrane Trajectory and Neuronal Firing Pattern on Slow Afterpotentials," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-10, November.
    7. Florian Raudies & Michael E Hasselmo, 2015. "Differences in Visual-Spatial Input May Underlie Different Compression Properties of Firing Fields for Grid Cell Modules in Medial Entorhinal Cortex," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-27, November.
    8. Han Xu & Dashan Shang & Qing Luo & Junjie An & Yue Li & Shuyu Wu & Zhihong Yao & Woyu Zhang & Xiaoxin Xu & Chunmeng Dou & Hao Jiang & Liyang Pan & Xumeng Zhang & Ming Wang & Zhongrui Wang & Jianshi Ta, 2023. "A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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