Emulation of salamander retina with multilayer neural network

Author

Yu, Sung-Nien ; Lin, Chien-Nan ; Chan, Chun-Chieh

Author_Institution

Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan

fYear

2009

fDate

24-27 May 2009

Firstpage

2902

Lastpage

2905

Abstract

We utilized a multilayer cellular neural network platform to emulate the functions of salamander retina based on the PIPE model. The template parameters were designed with analytic and embedding methods. By using a FPGA multimedia board for implementation, the emulator completely imitate the function of the PIPE model. The performance of the emulator was evaluated by average SNR and maximum error accumulated in the final image. Both tests confirm the validity of the emulator and the analysis of processing power demonstrated that the emulator can process the input image sequences in real-time with 18-bit precision.

Keywords

cellular neural nets; eye; field programmable gate arrays; image sequences; multimedia computing; zoology; FPGA multimedia board; PIPE model; image sequences; multilayer cellular neural network; salamander retina emulation; Cellular neural networks; Emulation; Field programmable gate arrays; Image analysis; Image sequence analysis; Image sequences; Multi-layer neural network; Neural networks; Retina; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Conference_Location

Taipei

Print_ISBN

978-1-4244-3827-3

Electronic_ISBN

978-1-4244-3828-0

Type

conf

DOI

10.1109/ISCAS.2009.5118409

Filename

5118409