DocumentCode
1806002
Title
The McCulloch-Pitts model
Author
Hayman, Samantha
Author_Institution
Forestville High Sch., MD, USA
Volume
6
fYear
1999
fDate
36342
Firstpage
4438
Abstract
Neural net theory is founded on the model of McCulloch and Pitts (1943). The article discusses the principles of the model and the associated algebra. The adaptability comes from representing the synaptic action by a variable weight which determines the degree to which a neuron should ´take notice´ of firing signals that take place at the synapse concerned. The neuron is thought to take firing signals at all its synapses into account by summing their effects, both excitatory and inhibitory, and thereby determining whether it should or should not fire. The effect of a synapse is represented by a weight in the range -1 to 1. The effect on a neuron of any particular synapse is the weight if the neuron fire, 0 if not, and the product of the weight and another number if it be not known whether the neuron fires
Keywords
algebra; neural nets; McCulloch-Pitts model; adaptability; algebra; excitatory effects; inhibitory effects; neural net theory; synaptic action; variable weight; Algebra; Biological neural networks; Biological system modeling; Fires; Mathematical model; Nerve fibers; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.830886
Filename
830886
Link To Document