The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Long-Term Plasticity of Intrinsic Excitability: Learning Rules and Mechanisms
Open accessAbstract
Spatio-temporal configurations of distributed activity in the brain is thought to contribute to the coding of neuronal information and synaptic contacts between nerve cells could play a central role in the formation of privileged pathways of activity. Synaptic plasticity is not the exclusive mode of regulation of information processing in the brain, and persistent regulations of ionic conductances in some specialized neuronal areas such as the dendrites, the cell body, and the axon could also modulate, in the long-term, the propagation of neuronal information. Persistent changes in intrinsic excitability have been reported in several brain areas in which activity is elevated during a classical conditioning. The role of synaptic activity seems to be a determinant in the induction, but the learning rules and the underlying mechanisms remain to be defined. We discuss here the role of synaptic activity in the induction of intrinsic plasticity in cortical, hippocampal, and cerebellar neurons. Activation of glutamate receptors initiates a long-term modification in neuronal excitability that may represent a parallel, synergistic substrate for learning and memory. Similar to synaptic plasticity, long-lasting intrinsic plasticity appears to be bidirectional and to express a certain level of input or cell specificity. These nonsynaptic forms of plasticity affect the signal propagation in the axon, the dendrites, and the soma. They not only share common learning rules and induction pathways with the better-known synaptic plasticity such as NMDA receptor dependent LTP and LTD, but also contribute in synergy with these synaptic changes to the formation of a coherent engram.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896
AMPA Receptor Trafficking and Synaptic Plasticity
Malinow, R., & Malenka, R. C. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142758 · Cited by 2,588
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263 · cited 2×
“This learning rule has been verified and extended over the last two decades (for review, see Sourdet and Debanne 1999; Abbott and Nelson 2000; Bi and Poo 2001; Sjöström and Nelson 2002).”
BackgroundActivity-dependent scaling of quantal amplitude in neocortical neurons
Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226
Structure and function of dendritic spines
Nimchinsky, E. A., Sabatini, B. L., & Svoboda, K. (2002) · Annual Review of Physiology · doi:10.1146/annurev.physiol.64.081501.160008 · Cited by 1,208
LTP promotes formation of multiple spine synapses between a single axon terminal and a dendrite
Toni, N., Buchs, P.-A., Nikonenko, I., Bron, C. R., & Muller, D. (1999) · Nature · doi:10.1038/46574 · Cited by 949
Graded persistent activity in entorhinal cortex neurons
Egorov, A. V., Hamam, B. N., Fransén, E., Hasselmo, M. E., & Alonso, A. A. (2002) · Nature · doi:10.1038/nature01171 · Cited by 769
Comparison of Two Forms of Long-Term Potentiation in Single Hippocampal Neurons
Zalutsky, R. A., & Nicoll, R. A. (1990) · Science · doi:10.1126/science.2114039 · Cited by 759
Burrone, J., O'Byrne, M., & Murthy, V. N. (2002) · Nature · doi:10.1038/nature01242 · Cited by 487
Cited by
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997
The role of phase synchronization in memory processes
Fell, J., & Axmacher, N. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2979 · Cited by 1,620
Spike Timing-Dependent Plasticity: From Synapse to Perception
Dan, Y., & Poo, M.-M. (2006) · Physiological Reviews · doi:10.1152/physrev.00030.2005 · Cited by 675
Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement
Turrigiano, G. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-153238 · Cited by 671
Distributed synergistic plasticity and cerebellar learning
Gao, Z., van Beugen, B. J., & De Zeeuw, C. I. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3312 · Cited by 479
Metadata
- Authors
- Daoudal, G., & Debanne, D.
- Venue
- Learning & Memory
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2003-11
- Volume
- 10
- Issue
- 6
- Pages
- 456-465
- ISSN
- 1072-0502 (ISSN-L)
- 1549-5485
- OpenAlex
- W2021251123
- Cited by
- 543
- References
- 13
- Type
- posted content
- Language
- en
- Open access
- diamond
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Long-Term Plasticity of Intrinsic Excitability: Learning Rules and Mechanisms. https://app.cochat.ai/papers/10.1101/lm.64103
- The paper
- Daoudal, G., & Debanne, D. (2003). Long-Term Plasticity of Intrinsic Excitability: Learning Rules and Mechanisms. Learning & Memory. https://doi.org/10.1101/lm.64103
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.