Title :
The immune system: a neglected challenge for network theorists
Author :
Hoffmann, Geoffrey W.
Author_Institution :
Dept. of Phys., British Columbia Univ., Vancouver, BC, Canada
Abstract :
The immune system is an N-dimensional network that has memory and learns. The system is compared with feedforward and recurrent neural networks, and it is suggested that more attention should be paid to this field by theorists. A symmetrical network model of the immune system is briefly outlined
Keywords :
biocybernetics; learning systems; neural nets; N-dimensional network; feedforward networks; immune system; neglected challenge for network theorists; recurrent neural networks; symmetrical network model; Biological neural networks; Cells (biology); Central nervous system; Feedforward neural networks; Feedforward systems; Immune system; Neural networks; Neurofeedback; Physics; Recurrent neural networks;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100673
