Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947946 | Neurocomputing | 2017 | 21 Pages |
Abstract
This paper is concerned with circuit implementation in reaction-diffusion neuron model. Firstly, in order to realize easily, one obtains the equivalent form by discretization of this neuron model. In the frame of discrete model, every parameter can be represented by the basic circuit component. Then the digital programmable transconductance amplifier (DPTA) is designed to realize the digitally function in circuit. In addition, the DPTA is applied to realize two activation functions and the simulation results are verified in Multisim.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Miao Sun, Xing He, Tiancai Wang, Jie Tan, Dawen Xia,