Simulation of the freeman model of the olfactory cortex: A quantitative performance analysis for the DSP approach

被引：0

作者：

Ozturk, MC ^{[1
]}

Principe, JC ^{[1
]}

Davis, B ^{[1
]}

Erdogmus, D ^{[1
]}

机构：

[1] Univ Florida, Dept Elect Engn, Gainesville, FL 32611 USA

来源：

PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It has been shown that a framework composed of digital signal processing (DSP) elements can be used to simulate and study Freeman's model of the biologically realistic olfactory cortex. In this paper, based on impulse invariant transformation, a DSP environment has been developed corresponding to the original continuous-time dynamical system. The performance of the DSP system is quantitatively evaluated by comparing with the original system, which is implemented using the traditional Runge-Kutta integration technique. The discrete-time architecture is shown to have high performance in approximating the dynamical behavior of the original system.

引用

页码：332 / 336

页数：5

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