Geodesic
Projecting Biochemistry Over Long Distances
M. Reed1 ; H. F. Nijhout2 ; J. Best3
1 Department of Mathematics, Duke University, Durham, NC 27705, USA
2 Department of Biology, Duke University, Durham, NC 27705, USA
3 Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA
Mathematical modelling of natural phenomena, Tome 9 (2014) no. 1, pp. 133-138 Cet article a éte moissonné depuis la source EDP Sciences

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Mathematical and computational neuroscience have contributed to the brain sciences by the study of the dynamics of individual neurons and more recently the study of the dynamics of electrophysiological networks. Often these studies treat individual neurons as points or the nodes in networks and the biochemistry of the brain appears, if at all, as some intermediate variables by which the neurons communicate with each other. In fact, many neurons change brain function not by communicating in one-to-one fashion with other neurons, but instead by projecting changes in biochemistry over long distances. This biochemical network is of crucial importance for brain function and it influences and is influenced by the more traditional electrophysiological networks. Understanding how biochemical networks interact with electrophysiological networks to produce brain function both in health and disease poses new challenges for mathematical neuroscience.
DOI : 10.1051/mmnp/20149109

M. Reed 1 ; H. F. Nijhout 2 ; J. Best 3

1 Department of Mathematics, Duke University, Durham, NC 27705, USA
2 Department of Biology, Duke University, Durham, NC 27705, USA
3 Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA 
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M. Reed; H. F. Nijhout; J. Best. Projecting Biochemistry Over Long Distances. Mathematical modelling of natural phenomena, Tome 9 (2014) no. 1, pp. 133-138. doi: 10.1051/mmnp/20149109

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