Structural Components of Synaptic Plasticity and Memory Consolidation.

By C. H. Bailey, E. Kandel, Kristen M. Harris. 2015

370 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. John T. Wixted
2. Liyuan Wang
3. Jun Zhu
4. Hang Su
5. Xingxing Zhang
6. Lisa Genzel
7. Y. Dudai

In Cognitive Neuroscience

1. John T. Wixted
2. Liyuan Wang
3. Jun Zhu
4. Hang Su
5. Xingxing Zhang
6. Lisa Genzel
7. Y. Dudai
8. L. R. Squire

In Neurology

1. John T. Wixted
2. Liyuan Wang
3. Jun Zhu
4. Hang Su
5. Xingxing Zhang
6. Lisa Genzel

In Neuroscience

1. John T. Wixted
2. Liyuan Wang
3. Jun Zhu
4. Hang Su
5. Xingxing Zhang
6. Lisa Genzel
7. Y. Dudai

Citations in the corpus

• A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023, background): “Biological neural networks are capable of flexibly modulating synaptic plasticity in response to dynamic inputs, including (1) stabilization of previously-learned synaptic changes to overcome subsequent interference [154], [471], [495], which motivates the strategies of weight regularization to sele”
• Cellular and Systems Consolidation of Declarative Memory (2017, background): “While there are many types of LTP (for review see (Bailey et al. 2015)), the classic form is NMDA receptor dependent LTP: in response to high-frequency stimulation, the excitatory neurotransmitter glutamate is released from the presynaptic neuron and binds to postsynaptic AMPA receptors,…”