Optimal Size for Maximal Energy Efficiency in Information Processing of Biological Systems Due to Bistability
Energy efficiency is closely related to the evolution of biological systems and is important to their information processing. In this work, we calculate the excitation probability of a simple model of a bistable biological unit in response to pulsatile inputs, and its spontaneous excitation rate due...
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Published in | Chinese physics letters Vol. 32; no. 11; pp. 5 - 8 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.11.2015
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Online Access | Get full text |
ISSN | 0256-307X 1741-3540 |
DOI | 10.1088/0256-307X/32/11/110501 |
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Abstract | Energy efficiency is closely related to the evolution of biological systems and is important to their information processing. In this work, we calculate the excitation probability of a simple model of a bistable biological unit in response to pulsatile inputs, and its spontaneous excitation rate due to noise perturbation. Then we analytically calculate the mutual information, energy cost, and energy efficiency of an array of these bistable units. We find that the optimal number of units could maximize this array's energy efficiency in encoding pulse inputs, which depends on the fixed energy cost. We conclude that demand for energy efficiency in biological systems may strongly influence the size of these systems under the pressure of natural selection. |
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AbstractList | Energy efficiency is closely related to the evolution of biological systems and is important to their information processing. In this work, we calculate the excitation probability of a simple model of a bistable biological unit in response to pulsatile inputs, and its spontaneous excitation rate due to noise perturbation. Then we analytically calculate the mutual information, energy cost, and energy efficiency of an array of these bistable units. We find that the optimal number of units could maximize this array's energy efficiency in encoding pulse inputs, which depends on the fixed energy cost. We conclude that demand for energy efficiency in biological systems may strongly influence the size of these systems under the pressure of natural selection. Energy efficiency is closely related to the evolution of biological systems and is important to their information processing. In this work, we calculate the excitation probability of a simple model of a bistable biological unit in response to pulsatile inputs, and its spontaneous excitation rate due to noise perturbation. Then we analytically calculate the mutual information, energy cost, and energy efficiency of an array of these bistable units. We find that the optimal number of units could maximize this array's energy efficiency in encoding pulse inputs, which depends on the fixed energy cost. We conclude that demand for energy efficiency in biological systems may strongly influence the size of these systems under the pressure of natural selection. |
Author | 张弛 刘利伟 王龙飞 岳园 俞连春 |
AuthorAffiliation | Cuiying Honors College, Lanzhou University, Lanzhou 730000 College of Electrical Engineering, Northwest University for Nationalities, Lanzhou 730070 Institute of Theoretical Physics, Lanzhou University, Lanzhou 730000 Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, Lanzhou University, Lanzhou 730000 |
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CitedBy_id | crossref_primary_10_3389_fncel_2017_00265 crossref_primary_10_3389_fncel_2018_00123 |
Cites_doi | 10.1007/978-1-61779-173-4_23 10.1016/S0006-3495(96)79494-8 10.1073/pnas.0501352102 10.1097/00004647-200110000-00001 10.1002/wnan.22 10.1016/S0006-3495(71)86277-X 10.1038/236 10.1103/PhysRevE.89.032725 10.1016/j.copbio.2008.06.009 10.1371/journal.pcbi.1000637 10.1016/j.physd.2009.12.002 10.1162/089976602753712963 10.1371/journal.pcbi.1003157 10.1038/nphys2276 10.1113/jphysiol.1952.sp004764 10.1242/jeb.017574 10.1103/PhysRevE.78.051909 10.1016/j.cub.2012.04.002 10.1371/journal.pcbi.1002456 |
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Notes | 11-1959/O4 Energy efficiency is closely related to the evolution of biological systems and is important to their information processing. In this work, we calculate the excitation probability of a simple model of a bistable biological unit in response to pulsatile inputs, and its spontaneous excitation rate due to noise perturbation. Then we analytically calculate the mutual information, energy cost, and energy efficiency of an array of these bistable units. We find that the optimal number of units could maximize this array's energy efficiency in encoding pulse inputs, which depends on the fixed energy cost. We conclude that demand for energy efficiency in biological systems may strongly influence the size of these systems under the pressure of natural selection. ZHANG Chi, LIU Li-Wei, WANG Long-Fei, YUE Yuan, YU Lian-Chun(Cuiying Honors College, Lanzhou University, Lanzhou 730000 2 College of Electrical Engineering, Northwest University for Nationalities, Lanzhou 730070 3Institute of Theoretical Physics, Lanzhou University, Lanzhou 730000 4Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, Lanzhou University, Lanzhou 730000) ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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References | 11 12 23 13 Gardiner C (21) 2009 14 16 17 Shannon C E (22) 1948 18 Laughlin S B (15) 2001; 11 19 Zeng L Z (24) 2014; 31 1 2 3 4 5 6 7 8 9 Richter D (10) 1957 20 |
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SubjectTerms | Arrays Computational efficiency Computing time Data processing Energy management Excitation Mathematical models Optimization 信息处理 双稳态 生物系统 能源成本 能源效率 能量效率 脉冲输入 自然选择 |
Title | Optimal Size for Maximal Energy Efficiency in Information Processing of Biological Systems Due to Bistability |
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