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

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1488

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.685996

Filename

685996