Cited by 445Memory and Neural MechanismsNeural dynamics and brain functionNeuroscience and Neuropharmacology Research

Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex

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Driscoll, Laura N., Pettit, Noah L., Minderer, Matthias, Chettih, Selmaan N., Harvey, Christopher D.·2017·Cell

Abstract

Neuronal representations change as associations are learned between sensory stimuli and behavioral actions. However, it is poorly understood whether representations for learned associations stabilize in cortical association areas or continue to change following learning. We tracked the activity of posterior parietal cortex neurons for a month as mice stably performed a virtual-navigation task. The relationship between cells' activity and task features was mostly stable on single days but underwent major reorganization over weeks. The neurons informative about task features (trial type and maze locations) changed across days. Despite changes in individual cells, the population activity had statistically similar properties each day and stable information for over a week. As mice learned additional associations, new activity patterns emerged in the neurons used for existing representations without greatly affecting the rate of change of these representations. We propose that dynamic neuronal activity patterns could balance plasticity for learning and stability for memory.

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Crossref · 10.1016/j.cell.2017.07.021

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  • Cells for which the modulation of activity in the unshifted data was greater than modulation in 950 shuffles were considered to be potentially significantly activated.

    “All cells for which the modulation of activity in the unshifted data was greater than modulation in 950 shuffles were considered to be potentially significantly activated31.”
  • Cells for which the change in firing rate was smaller than the change in 950 shuffles were considered to be potentially significantly suppressed.

    “Cells for which the change in firing rate was smaller than the change in 950 shuffles were considered to be potentially significantly suppressed.”

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Authors
Driscoll, L. N., Pettit, N. L., Minderer, M., Chettih, S. N., & Harvey, C. D.
Affiliations
Harvard University (US)
Corresponding author
Harvey, Christopher D.
Venue
Cell
Publisher
Elsevier BV
Published
2017-08
Volume
170
Issue
5
Pages
986-999.e16
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2747228919
Cited by
445
References
50
Citations by year
2026: 57 · 2025: 66 · 2024: 71 · 2023: 59 · 2022: 60 · 2021: 35 · 2020: 33 · 2019: 31 · 2018: 29 · 2017: 4
FWCI
15.22
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
  • Burroughs-Wellcome Fund Career Award at the Scientific Interface
  • Searle Scholars Program
  • New York Stem Cell Foundation
  • Alfred P. Sloan Research Foundation
  • NARSAD Brain and Behavior Research Young Investigator Award
  • NIH
  • NIMH BRAINS program (R01MH107620)
  • NINDS (R01NS089521)
  • Armenise-Harvard Foundation Junior Faculty Grant
  • Edward R. and Anne G. Lefler Center Predoctoral Fellowship
  • Junior Faculty Award
  • Albert J. Ryan Fellowship
  • Stuart H.Q. and Victoria Quan Fellowship
  • Boehringer Ingelheim Fonds Fellowship
  • Herchel Smith Graduate Fellowship
  • NSF Graduate Research Fellowship
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
posterior parietal cortex, neural activity patterns, population activity, dynamic reorganization, learned associations, virtual navigation, single-unit recording, memory stability, neuroplasticity, cortical association areas, mice
MeSH terms
Animals, Learning, Male, Memory, Mice, Inbred C57BL, Neurons, Parietal Lobe, Mice, Single-Cell Analysis, Optogenetics

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