The physics of living neural networks
By Jean-Pierre Eckmann, Ofer Feinerman, L. Gruendlinger, Elisha Moses, J. Soriano, Tsvi Tlusty. 2007
118 citations recorded by the source corpus.
Improvements in technique in conjunction with an evolution of the theoretical and conceptual approach to neuronal networks provide a new perspective on living neurons in culture. Organization and connectivity are being measured quantitatively along with other physical quantities such as information, and are being related to function. In this review we first discuss some of these advances, which enable elucidation of structural aspects. We then discuss two recent experimental models that yield some conceptual simplicity. A one-dimensional network enables precise quantitative comparison to analytic models, for example of propagation and information transport. A two-dimensional percolating network gives quantitative information on connectivity of cultured neurons. The physical quantities that emerge as essential characteristics of the network in vitro are propagation speeds, synaptic transmission, information creation and capacity. Potential application to neuronal devices is discussed. © 2007 Elsevier B.V. All rights reserved.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/db5676b23da66df733c836a5aa4a891fb63d61e9
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Citations in the corpus
- Recent advances in percolation theory and its applications (2015, background): “It has played a canonical role in description of a growing list of complex phenomena including crack propagation [216], neuronal activity [217, 218, 219], and magnetic systems [220] among others.”