Cortical rewiring and information storage
By Dmitri "Mitya" Chklovskii, Bartlett W. Mel, Karel Svoboda. 2004
744 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive 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
- Fred H. Gage
- James Bradley Aimone
- Andreas Knoblauch
- D. Feldman
- Chunmei Zhao
- R. Malenka
- E. Nestler
- Wulfram Gerstner
In Cognitive Neuroscience
- Andreas Knoblauch
- D. Feldman
- Wulfram Gerstner
- Fred H. Gage
- Kenneth O. Stanley
- Sebastian Risi
- Andrea Soltoggio
- Richard J. Haier
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “cat’s visual cortex (Rauschecker and Singer, 1981). Biological plastic neural networks are also capable of structural plasticity, which creates new pathways among neurons (Lamprecht and LeDoux, 2004; Chklovskii et al., 2004; Russo et al., 2010): it occurs primarily during development, but there is e”
- Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function (2016, background): “Rewiring is readily triggered by stimuli as well as spontaneous activity (Le Be and Markram, 2006), which leads to a higher degree of organization (Chklovskii et al., 2004; Holtmaat and Svoboda, 2009) that is likely to increase the number of cliques.”
- Cell type-specific structural plasticity of axonal branches and boutons in the adult neocortex. (2006, neutral): “Longer-range structural plasticity implies more potential synaptic partners between neurons and a larger number of possible neural circuits ( Chklovskii et al., 2004; Stepanyants et al., 2002).”
- A Computational Framework for Ultrastructural Mapping of Neural Circuitry (2009, background): “Diversity in potential network topologies is so high [17, 26 ] that only anatomical ground truth can produce a valid connectome [17].”
- Structural plasticity, cortical memory, and the spacing effect (2009, background): “Recent experiments suggest also a major role of structural plasticity, including elimination and regeneration of synapses, growth and retraction of dendritic spines, and remodeling of axons and dendrites [1].”
- Normal and pathological oscillatory communication in the brain (2005, background): “Changes in communication demands might lead to changes in anatomical connectivit”
- Neural mechanisms of addiction: the role of reward-related learning and memory. (2006, background): “…plasticity is complex, but it can be heuristically divided into mechanisms that change the strength or “weight” of existing connections and those that might lead to synapse formation or elimination and remodeling of the structure of dendrites or axons (Chklovskii et al. 2004, Malenka & Bear 2004).”
- The organization of recent and remote memories (2005, background): “Such remodelling might be mediated by either weight plasticity (that is, rapid modification of existing connections between neurons) or wiring plasticity (that is, slower structural changes leading to the addition/elimination of synapses and modulation of axonal and dendritic growth”
- Activity-dependent structural plasticity. (2009, background): “Although the spatial organization of cortical columns do not seem to change (Kalisman et al., 2005), there is still plenty of room for synaptic rewiring (Stepanyants et al., 2002; Chklovskii et al., 2004).”