A universal scaling law between gray matter and white matter of cerebral cortex.
By Kechen Zhang, Terrence J. Sejnowski. Proceedings of the National Academy of Sciences of the United States of America, 2000
723 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/593175719fa2e4eaadbc0bf1992805c6960bf260
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Richard J. Haier
- Olaf Sporns
- Randy L. Buckner
- B. T. T. Yeo
- Rex E. Jung
- Jorge Sepulcre
- Hesheng Liu
- Robert Dahnke
Citations in the corpus
- Brain Anatomical Network and Intelligence (2009, background): “myelinated cortical fibers are relatively thin in elephants and cetaceans, but particularly thick in primates [58,59], contributing to a better conduction velocity.”
- Sexual dimorphism of brain developmental trajectories during childhood and adolescence (2007, neutral): “that the relationship of gray and white matter volumes is exponential rather than linear (Prothero, 1997; Zhang and Sejnowski, 2000).”
- Optimal Hierarchical Modular Topologies for Producing Limited Sustained Activation of Neural Networks (2009, neutral): “n the ratio of connections (e.g. being connected to 10% of all neighbors) largely remains constant across species with different brain sizes (Ringo, 1991; Schüz and Demianenko, 1995; Striedter, 2004; Zhang and Sejnowski, 2000). Moreover, for constant average node degree, the optimal configurations i”
- The Importance of Neurophysiological Constraints for Modelling the Emergence of Modularity (background): “Zhang & Sejnowski (2000) developed models that explained the empirical universal scaling law between gray and white matter.”
- Are bigger brains better? (2009, background): “Nevertheless, in mammalian cortex the volume of connections between distant brain regions (white matter) increases disproportionately faster than that of local processing (grey matter) [98].”
- Ecological dominance, social competition, and coalitionary arms races: Why humans evolved extraordinary intelligence. (2005, background): “, cell bodies and grey matter ; Zhang & Sejnowski , 2000 ) .”
- Cortical thickness and central surface estimation (2013, background): “…for 52 normal development and aging (Fjell et al., 2006; Sowell et al., 2004, 53 2007) and pathological changes (Kuperberg et al., 2003; Rosas et al., 54 2008; Sailer et al., 2003; Thompson et al., 2004) in not only humans, 55 but also other mammals (Hofman, 1989; Zhang and Sejnowski, 2000).”
- The unreasonable effectiveness of deep learning in artificial intelligence (2020, background): “Interestingly, there are many fewer longrange connections than local connections, which form the white matter of the cortex, but its volume scales as the 5/4 power of the gray matter volume and becomes larger than the volume of the gray matter in large brains (18).”