Title :
Which model to use for the Liquid State Machine?
Author :
Grzyb, Beata J. ; Chinellato, Eris ; Wojcik, Grzegorz M. ; Kaminski, Wieslaw A.
Author_Institution :
Comput. Sci. & Eng. Dept., Jaume I Univ., Castellon, Spain
Abstract :
The properties of separation ability and computational efficiency of liquid state machines depend on the neural model employed and on the connection density in the liquid column. A simple model of part of mammalians visual system consisting of one hypercolumn was examined. Such a system was stimulated by two different input patterns, and the Euclidean distance, as well as the partial and global entropy of the liquid column responses were calculated. Interesting insights could be drawn regarding the properties of different neural models used in the liquid hypercolumn, and on the effect of connection density on the information representation capability of the system.
Keywords :
brain; neurophysiology; Euclidean distance; brain cortex; liquid column responses; liquid hypercolumn; liquid state machine; mammalians visual system; neural model; Biological neural networks; Biological system modeling; Biology computing; Computational efficiency; Computer science; Euclidean distance; Intelligent robots; Neurons; Performance analysis; Visual system;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178822
