Wiring optimization can relate neuronal structure and function.
By Beth L. Chen, David H. Hall, Dmitri "Mitya" Chklovskii. 2006
679 citations recorded by the source corpus.
Subfields: Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aging
- E. Bullmore
- D. Bassett
- Olaf Sporns
- uriy Mishchenko
- Richard F. Betzel
- David H. Hall
- Eric Paniagua
- L. Varshney
In Cellular and Molecular Neuroscience
- E. Bullmore
- D. Bassett
- Olaf Sporns
- uriy Mishchenko
- Jeremy Edward Niven
- Andreas Meyer-Lindenberg
- Martijn P. van den Heuvel
- Daniel R. Weinberger
In Endocrine and Autonomic Systems
In Neuroscience
- uriy Mishchenko
- E. Bullmore
- Olaf Sporns
- D. Bassett
- David H. Hall
- Eric Paniagua
- L. Varshney
- Beth L. Chen
Citations in the corpus
- Modular Brain Networks (2015, background): “…spatial contiguity is consistent with the hypothesis that neural systems attempt to reduce total metabolic and material cost by preferentially forming short-range connections, a well-documented aspect of the C. elegans nervous system (Chen et al. 2006, Cherniak et al. 2004, Nicosia et al. 2013).”
- The hubs of the human connectome are generally implicated in the anatomy of brain disorders (2014, background): “As such, hubs appear to transgress the parsimonious drive to minimize wiring cost (Kaiser and Hilgetag, 2006), which explains several other organizational features of brain networks (Chen et al., 2006).”
- Genetic dissection of neural circuits. (2008, neutral): “Each of the 302 C. elegans neurons has a stereotyped lineage (Sulston et al., 1983), largely stereotyped connectivity (White et al., 1986; Chen et al., 2006) (Figure 1A), and probably function.”
- Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “The organization of a network is directly related to its efficiency, as the topology defines its level of robustness, capability to integrate information and communication capacity (Achard and Bullmore, 2007; Bullmore and Sporns, 2009; Buzsaki and Draguhn, 2004; Chen et al., 2006; Grigorov, 2005; La”
- Structural Properties of the Caenorhabditis elegans Neuronal Network (2009, methodology): “Although this new wiring diagram has not been published definitively before now, it has already been freely shared with the community through the WormAtlas [22] and has also been used in previous studies such as [23].”
- Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma (2021, background): “, 2011), to wiring cost (Chen et al., 2006), down to ion channel properties (Alle et al.”
- A critique of pure learning and what artificial neural networks can learn from animal brains (2019, background): “The simple worm c. elegans, for example, has 302 neurons and about 7000 synapses; in each individual of an inbred strain, the wiring pattern is largely the same 31 .”
- Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia (2008, background): “, 2005); they also tend to minimize wiring length (Chen et al., 2006).”
- Multilayer Analysis and Visualization of Networks (2014, neutral): “In this example, each layer corresponds to a different type of synaptic connection [10].”
- A network of topographic numerosity maps in human association cortex (2016, neutral): “NPC2 and NPC3 lay in the postcentral sulcus, superior and inferior (respectively) to its junction with the intraparietal sulcus (right 33(3), − 40(4), 52(7), left − 38(3), − 43(8), 48(8) and right 45(10), − 30(6), 40(4), left − 48(6), − 29(5), 34(6)).”
- Efficiency of Functional Brain Networks and Intellectual Performance (2009, background): “Short path length promotes high computational efficiency and is thus likely to be an important factor, together with wiring minimization (Chklovskii et al., 2002; Chen et al., 2006), for shaping cortical connectivity (Kaiser and Hilgetag, 2006).”
- Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks (2011, background): “So high clustering of brain networks is associated with low wiring cost and we can infer that conservation of wiring cost may have been an important selection factor in the evolution of nervous systems (Chen et al., 2006).”