CoChat
Sign Up
Cited by 281Neural dynamics and brain functionMemory and Neural MechanismsNeuroscience and Neuropharmacology Research

Memory from the dynamics of intrinsic membrane currents

Open access
Marder, Eve, Abbott, L. F., Turrigiano, Gina G., Liu, Zheng, Golowasch, Jorge·1996·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.93.24.13481PMC PMC33634
Open this paper in CoChat — free account

Abstract

Almost all theoretical and experimental studies of the mechanisms underlying learning and memory focus on synaptic efficacy and make the implicit assumption that changes in synaptic efficacy are both necessary and sufficient to account for learning and memory. However, network dynamics depends on the complex interaction between intrinsic membrane properties and synaptic strengths and time courses. Furthermore, neuronal activity itself modifies not only synaptic efficacy but also the intrinsic membrane properties of neurons. This paper presents examples demonstrating that neurons with complex temporal dynamics can provide short-term “memory” mechanisms that rely solely on intrinsic neuronal properties. Additionally, we discuss the potential role that activity may play in long-term modification of intrinsic neuronal properties. While not replacing synaptic plasticity as a powerful learning mechanism, these examples suggest that memory in networks results from an ongoing interplay between changes in synaptic efficacy and intrinsic membrane properties.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.93.24.13481

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The framework starts from a hypothetical scheme for autoregulation of neuronal firing proposed by Abbott, Golowasch, Marder, and Turrigiano.

    “The starting point is a hypothetical scheme for the autoregulation of neuronal firing, proposed by Abbott, Golowasch, Marder, and Turrigiano at Brandeis in a prescient series of papers two decades ago (LeMasson et al., 1993; Marder et al., 1996; Siegel et al., 1994) (Fig. 1).”

    From Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops (2016) · cites this paper as Marder et al., 1996

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [28]Wang X J, Rinzel J. Neural Comput. 1992;4:84–97. [Google Scholar]
  2. [32]Abbott L F, LeMasson G. Neural Comput. 1993;5:823–842. [Google Scholar]

Cited by

Sorted by citations

Related

Authors
Marder, E., Abbott, L. F., Turrigiano, G. G., Liu, Z., & Golowasch, J.
Affiliations
Brandeis University (US)
ORCID
Venue
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Published
1996-11-26
Volume
93
Issue
24
Pages
13481-13486
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.93.24.13481
PMC
PMC33634
OpenAlex
W2058918256
Cited by
281
References
42
Citations by year
2026: 3 · 2025: 4 · 2024: 12 · 2023: 4 · 2022: 12 · 2021: 13 · 2020: 10 · 2019: 8 · 2018: 10 · 2017: 8 · 2016: 9 · 2015: 8 · 2014: 9 · 2013: 9 · 2012: 9
FWCI
1.17
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health (MH 46742, R37MH046742, R01MH046742)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
short-term memory, neuronal network dynamics, intrinsic neuronal properties, synaptic plasticity, synaptic efficacy, activity-dependent plasticity, long-term memory
MeSH terms
Animals, Cell Membrane, Learning, Memory, Models, Neurological, Neurons, Synapses, Time Factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review