Cited by 147Memory and Neural MechanismsMemory Processes and InfluencesNeural dynamics and brain function

Representation of retrieval confidence by single neurons in the human medial temporal lobe

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Rutishauser, Ueli, Ye, Shengxuan, Koroma, Matthieu, Tudusciuc, Oana, Ross, Ian B, Chung, Jeffrey M, Mamelak, Adam N·2015·Nature Neuroscience

Abstract

Memory-based decisions are often accompanied by an assessment of choice certainty, but the mechanisms of such confidence judgments remain unknown. We studied the response of 1,065 individual neurons in the human hippocampus and amygdala while neurosurgical patients made memory retrieval decisions together with a confidence judgment. Combining behavioral, neuronal and computational analysis, we identified a population of memory-selective (MS) neurons whose activity signaled stimulus familiarity and confidence, as assessed by subjective report. In contrast, the activity of visually selective (VS) neurons was not sensitive to memory strength. The groups further differed in response latency, tuning and extracellular waveforms. The information provided by MS neurons was sufficient for a race model to decide stimulus familiarity and retrieval confidence. Together, our results indicate a trial-by-trial relationship between a specific group of neurons and declared memory strength in humans. We suggest that VS and MS neurons are a substrate for declarative memories.

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  • Recent fMRI evidence suggests similar population-level representations of uncertainty in visual working memory, and single unit activity in human hippocampus predicts retrieval confidence levels.

    “Recent fMRI evidence suggests similar population-level representations of uncertainty in visual working memory (Li et al. 2021), and single unit activity in the human hippocampus predicts retrieval confidence levels (Rutishauser et al. 2015).”

    From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Rutishauser et al. 2015

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Research works printed but not linked: 3

  1. [6]Pouget A Dayan P Zemel RS Inference and computation with population codes Annual review of neuroscience 2003 26 381 410 12704222
  2. [18]Green D Swets J Signal Detection Theory and Psychophysics 1966 Wiley
  3. [25]Vickers D Decision processes in visual perception 1979 New York; London Academic Press

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Authors
Rutishauser, U., Ye, S., Koroma, M., Tudusciuc, O., Ross, I. B., Chung, J. M., & Mamelak, A. N.
Affiliations
  • California Institute of Technology (US)
  • École Normale Supérieure Paris-Saclay (FR)
  • Huntington Hospital (US)
  • Cedars-Sinai Medical Center (US)
Corresponding author
Rutishauser, Ueli
Venue
Nature Neuroscience
Published
2015-06-08
Volume
18
Issue
7
Pages
1041-1050
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W1671674587
Cited by
147
References
61
Citations by year
2026: 9 · 2025: 14 · 2024: 14 · 2023: 9 · 2022: 5 · 2021: 21 · 2020: 19 · 2019: 17 · 2018: 12 · 2017: 13 · 2016: 9 · 2015: 5
FWCI
7.81
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Open Repository and Bibliography (University of Liège) (submittedVersion, other-oa)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion)
Funders
  • Gustavus and Louise Pfeiffer Research Foundation
  • California Institute of Technology (P50 MH094258)
  • Cedars-Sinai Medical Center
  • National Institute of Mental Health (P50MH094258, MH094258)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
memory confidence judgments, hippocampus, amygdala, stimulus familiarity, race model, declarative memory, single-unit activity, medial temporal lobe
MeSH terms
Adult, Amygdala, Electrodes, Implanted, Hippocampus, Humans, Neurons, Mental Recall, Temporal Lobe, Recognition, Psychology, Electrophysiological Phenomena

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