The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
More than synaptic plasticity: role of nonsynaptic plasticity in learning and memory
Open accessAbstract
Decades of research on the cellular mechanisms of memory have led to the widely-held view that memories are stored as modifications of synaptic strength. These changes involve presynaptic processes, such as direct modulation of the release machinery, or postsynaptic processes, such as modulation of receptor properties. Parallel studies have revealed that memories may also be stored by nonsynaptic processes, such as modulation of voltage-dependent membrane conductances, which are expressed as changes in neuronal excitability. Although in some cases nonsynaptic changes may function as part of the engram itself, they may also serve as mechanisms through which a neural circuit is set to a permissive state to facilitate synaptic modifications that are necessary for memory storage.
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
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566
Bliss, T. V. P., & Gardner‐Medwin, A. R. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010274 · Cited by 7,437
The molecular biology of memory storage: a dialogue between genes and synapses
Kandel, E. R. (2001) · Science · doi:10.1126/science.1067020 · Cited by 3,917
Learning induces long-term potentiation in the hippocampus
Whitlock, J. R., Heynen, A. J., Shuler, M. G., & Bear, M. F. (2006) · Science · doi:10.1126/science.1128134 · Cited by 1,913
Fear conditioning induces associative long-term potentiation in the amygdala
Rogan, M. T., Stäubli, U. V., & LeDoux, J. E. (1997) · Nature · doi:10.1038/37601 · Cited by 1,310 · cited 1×
“Enhancement of the synaptic input to amygdala neurons appeared to serve as a mechanism for memory expression and maintenance [40].”
Storage of spatial information by the maintenance mechanism of LTP
Pastalkova, E., Serrano, P., Pinkhasova, D., Wallace, E., Fenton, A. A., & Sacktor, T. C. (2006) · Science · doi:10.1126/science.1128657 · Cited by 848
Cerebellar Long-Term Depression: Characterization, Signal Transduction, and Functional Roles
Ito, M. (2001) · Physiological Reviews · doi:10.1152/physrev.2001.81.3.1143 · Cited by 840
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
Dendritic Excitability and Synaptic Plasticity
Sjöström, P. J., Rancz, E. A., Roth, A., & Häusser, M. (2008) · Physiological Reviews · doi:10.1152/physrev.00016.2007 · Cited by 725
Neural Substrates of Eyeblink Conditioning: Acquisition and Retention
Christian, K. M., & Thompson, R. F. (2003) · Learning & Memory · doi:10.1101/lm.59603 · Cited by 609
Cited by
Rethinking the Emotional Brain
LeDoux, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.004 · Cited by 1,594
“…cyclic AMP response element binding protein) involved in defense conditioning Aplysia (e.g., Hawkins et al., 2006; Kandel, 2001; Carew and Sutton, 2001; Glanzman, 2010; Mozzachiodi and Byrne, 2010) have been implicated in defense conditioning in the mammalian amygdala (see Johansen et al., 2011).”
From the genetic architecture to synaptic plasticity in autism spectrum disorder
Bourgeron, T. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3992 · Cited by 975
CREB's control of intrinsic and synaptic plasticity: implications for CREB-dependent memory models
Benito, E., & Barco, A. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.02.001 · Cited by 448
Pell, G. S., Roth, Y., & Zangen, A. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.10.003 · Cited by 406
Morris, G. P., Clark, I. A., Zinn, R., & Vissel, B. (2013) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.07.002 · Cited by 236
Metadata
- Authors
- Mozzachiodi, R., & Byrne, J. H.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 33
- Issue
- 1
- Pages
- 17-26
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W1991843519
- Cited by
- 270
- References
- 86
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- green
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: More than synaptic plasticity: role of nonsynaptic plasticity in learning and memory. https://app.cochat.ai/papers/10.1016/j.tins.2009.10.001
- The paper
- Mozzachiodi, R., & Byrne, J. H. (2010). More than synaptic plasticity: role of nonsynaptic plasticity in learning and memory. Trends in Neurosciences. https://doi.org/10.1016/j.tins.2009.10.001
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.
