Biological Modeling Challenges in a Multiphysics Approach

被引:0
作者
Mathault, Jessy [1 ,2 ,3 ]
Landari, Hamza [1 ,2 ,3 ]
Tessier, Frederic [1 ,3 ]
Fortier, Paul [3 ]
Miled, Amine [1 ,2 ,3 ]
机构
[1] Univ Laval, Elect & Comp Engn Dept, LABioTRON Bioengn Res Lab, Quebec City, PQ, Canada
[2] Univ Laval, Res Ctr Adv Mat CERMA, Quebec City, PQ, Canada
[3] Univ Laval, Elect & Comp Engn Dept, Radiocommun & Signal Proc Lab LRTS, Quebec City, PQ, Canada
来源
2017 IEEE 60TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2017年
基金
加拿大自然科学与工程研究理事会;
关键词
CYCLIC VOLTAMMETRY; SIMULATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Modeling biological behaviour requires a multidisciplinary approach and very large computational resources. In this paper, we present an overview of our research work with regards to biological neuron network (NN) modeling, electro-chemical reaction emulation for neurotransmitters and finite element modeling (FEM) of a very low pressure micropump for neurotransmitter concentration modulations. Three different approaches have been explored, namely MATLAB simulations of biological NN, MATLAB simulations of electro-chemical reactions and the FEM approach. Our objective through biological NN modeling is to investigate the need to develop a dedicated chip for a NN implementation or to use a strictly software approach. The objective of the electrochemical emulator is to provide a tool which can help us to understand how to decompose cyclic voltammetry curves into more conventional and easy to interpret graphs. However, although the three approaches appear independent, they are in fact all related as we investigate the computer performances needed for biological modeling.
引用
收藏
页码:88 / 91
页数:4
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