Title :
Discrete network implementation of Freeman´s model of the olfactory system
Author :
Tavares, Vitor M Grade ; Principe, Jose ; Lynn, Gary
Author_Institution :
Florida Univ., Gainesville, FL, USA
Abstract :
This paper presents results concerning a full digital implementation of the KII and KIII model proposed by Freeman to explain the chaotic behavior of the mammalian olfactory cortex (1995). The environment used for the task is a commercial neural network package. The immediate goal is to offer a computational efficient alternative to Runge-Kutta methods of solving the system´s differential equations. To accomplish the goal the differential equations´ impulse response were sampled and decomposed over the gamma basis. Both models, KII and KIII, are presently working as associative memories, where stored patterns can be recalled from an input pattern
Keywords :
biology computing; brain models; chemioception; computational complexity; content-addressable storage; differential equations; neural nets; neurophysiology; software packages; transient response; KII model; KIII model; associative memories; chaotic behavior; computational efficiency; differential equations impulse response; digital implementation; discrete network implementation; gamma basis; mammalian olfactory cortex; neural network package; olfactory system; Associative memory; Brain modeling; Chaos; Differential equations; Neural networks; Nonlinear equations; Olfactory; Oscillators; Packaging; Topology;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.685996
