Title :
Cellular Wave Computing the Multi-channel Mammalian Retina Model by the Bi-I Camera-computer
Author :
Balya, David ; Roska, Botond
Author_Institution :
Friedrich Mieseher Institute for Biomedical Research, 4058 Basel, Switzerland; Information Technology Department, Peter Pazmany Catholic University, 1095 Budapest, Hungary; Analogic and Neural Computing Systems Laboratory, CARI HAS, 1111 Budapest, Hungary
Abstract :
This demo displays a retina exploration system. The system is designed to explore and understand the essence of the retina channels and offers a potential input transformation for retinal implants [1] The primary motivation was to deduce a simple algorithmic skeleton from neurobiological measurements [2]. The model is tuned for several different retina channels with less than one-half percent spatial-temporal error The implementation platform of our novel neuromorphic retina model is the Bi-I [3] The Bi-I computer, containing the ACE16k CNN-UM [4] and DSP chips computes our parallel multi-channel model in video real-time. The on-line control is provided by external controllers to enable changing parameters on-line. The system will be available to experimentation.
Keywords :
Algorithm design and analysis; Computer errors; Concurrent computing; Digital signal processing chips; Displays; Implants; Neuromorphics; Retina; Semiconductor device measurement; Skeleton; CNN-UM; embedded systems; mammalian retina; model emulation; neural circuitry;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul, Turkey
Print_ISBN :
1-4244-0640-4
Electronic_ISBN :
1-4244-0640-4
DOI :
10.1109/CNNA.2006.341589