Neuron-Glial Interactions
arXiv:2001.06881 · doi:10.1007/978-1-4614-7320-6_100691-1
Abstract
Although lagging behind classical computational neuroscience, theoretical and computational approaches are beginning to emerge to characterize different aspects of neuron-glial interactions. This chapter aims to provide essential knowledge on neuron-glial interactions in the mammalian brain, leveraging on computational studies that focus on structure (anatomy) and function (physiology) of such interactions in the healthy brain. Although our understanding of the need of neuron-glial interactions in the brain is still at its infancy, being mostly based on predictions that await for experimental validation, simple general modeling arguments borrowed from control theory are introduced to support the importance of including such interactions in traditional neuron-based modeling paradigms.
arXiv comment43 pages, 2 figures, 1 table. Accepted for publication in the "Encyclopedia of Computational Neuroscience," D. Jaeger and R. Jung eds., Springer-Verlag New York, 2020 (2nd edition)
References in corpus (13)
- Characterizing Complex Particle Morphologies Through Shape Matching: Descriptors, Applications, and Algorithms
- Counting loopy graphs with given degrees
- Is Cen A surrounded by tens EeV Multiplet?
- Convergence to equilibrium in Wasserstein distance for Fokker-Planck equations
- Geometrically-Frustrated Pseudogap Phase of Coulomb Liquids
- Statistical Methods for Estimating Complexity from Competition Experiments between Two Populations
- How to model marine reserves ?
- Efficient Solution to the 3D Problem of Automatic Wall Paintings Reassembly
- Equiangular Tight Frames from Paley Tournaments
- Astrocytes: orchestrating synaptic plasticity?
- A tale of two stories: astrocyte regulation of synaptic depression and facilitation
- Modulation of synaptic plasticity by glutamatergic gliotransmission: A modeling study
- How effective delays shape oscillatory dynamics in neuronal networks