Cited by 351Memory and Neural MechanismsNeuroscience and Neuropharmacology ResearchNeural dynamics and brain function

Neural ensemble dynamics underlying a long-term associative memory

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Grewe, Benjamin F., Gründemann, Jan, Kitch, Lacey J., Lecoq, Jerome A., Parker, Jones G., Marshall, Jesse D., Larkin, Margaret C., Jercog, Pablo E. +4 more·2017·Nature

Abstract

The brain's ability to associate different stimuli is vital for long-term memory, but how neural ensembles encode associative memories is unknown. Here we studied how cell ensembles in the basal and lateral amygdala encode associations between conditioned and unconditioned stimuli (CS and US, respectively). Using a miniature fluorescence microscope, we tracked the Ca 2+ dynamics of ensembles of amygdalar neurons during fear learning and extinction over 6 days in behaving mice. Fear conditioning induced both up- and down-regulation of individual cells' CS-evoked responses. This bi-directional plasticity mainly occurred after conditioning, and reshaped the neural ensemble representation of the CS to become more similar to the US representation. During extinction training with repetitive CS presentations, the CS representation became more distinctive without reverting to its original form. Throughout the experiments, the strength of the ensemble-encoded CS-US association predicted the level of behavioural conditioning in each mouse. These findings support a supervised learning model in which activation of the US representation guides the transformation of the CS representation.

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  • The difference in response to female and male cues after the initiation of mating/fighting decreases by 40% from the initial level.

    “To further explore whether mating or fighting could also induce changes in neuronal activity, we performed a Mahalanobis population vector distance (PVD) analysis (Grewe et al., 2017) and found that the difference in response to female and male cues after the initiation of mating/fighting decreases by 40% from the initial level (Figures S4C–S4F; STAR Methods).”

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  1. [21]Bishop CM Pattern Recognition and Machine Learning 2007 1 Springer

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Authors
Grewe, B. F., Gründemann, J., Kitch, L. J., Lecoq, J. A., Parker, J. G., Marshall, J. D., Larkin, M. C., Jercog, P. E., Grenier, F., Li, J. Z., Lüthi, A., & Schnitzer, M. J.
Affiliations
  • Howard Hughes Medical Institute (US)
  • Friedrich Miescher Institute (CH)
  • Pfizer (United States) (US)
  • Stanford University (US)
  • University of Basel (CH)
Corresponding author
Schnitzer, Mark J.
Venue
Nature
Published
2017-03
Volume
543
Issue
7647
Pages
670-675
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2602668040
Cited by
351
References
47
Citations by year
2026: 27 · 2025: 31 · 2024: 44 · 2023: 45 · 2022: 27 · 2021: 34 · 2020: 42 · 2019: 46 · 2018: 36 · 2017: 19
FWCI
22.17
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
Funders
Howard Hughes Medical Institute
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
associative memory, neuronal ensembles, basal amygdala, lateral amygdala, fear conditioning, fear extinction, calcium dynamics, supervised learning, conditioned stimulus, unconditioned stimulus, microendoscopy
MeSH terms
Amygdala, Animals, Calcium, Conditioning, Classical, Extinction, Psychological, Fear, Male, Microscopy, Fluorescence, Neuronal Plasticity, Neurons, Calcium Signaling, Mice, Memory, Long-Term

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