The physics of living neural networks

被引:93
作者
Eckmann, Jean-Pierre
Feinerman, Ofer
Gruendlinger, Leor
Moses, Elisha
Soriano, Jordi [1 ]
Tlusty, Tsvi
机构
[1] Weizmann Inst Sci, Dept Phys Complex Syst, IL-76100 Rehovot, Israel
[2] Univ Geneva, Dept Phys Theor, CH-1211 Geneva, Switzerland
[3] Univ Geneva, Sect Math, CH-1211 Geneva, Switzerland
[4] Weizmann Inst Sci, Dept Neurobiol, IL-76100 Rehovot, Israel
来源
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2007年 / 449卷 / 1-3期
基金
以色列科学基金会;
关键词
complex systems; neuroscience; neural networks; transport of information; neural connectivity; percolation;
D O I
10.1016/j.physrep.2007.02.014
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:54 / 76
页数:23
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