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 :
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