The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 53-612
Full Name: Martin Ruzek
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Konviktska 20
Country: CZECH REPUBLIC
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E-mail address: ruzekmar@fd.cvut.cz
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Title of the Paper: Model of biological ANN based on homeostatic neurons
Authors as they appear in the Paper: Martin Ruzek, Tomas Brandejsky
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Number of paper pages: 10
Abstract: This paper presents an artificial neural network that is composed of homeostatic neurons. The homeostatic neuron is based on McCulloch-Pitts model of artificial neuron with some modifications. The basic requirements for this model is the simplicity and similarity to biological neuron. It is supposed that the neuron is able to maintain its parameters in a way that maximizes its chances to survive. The probability of survival in the neural network depends on how well is accepted the output by other neurons. The homeostatic neurons form a neural network, that is aimed to model biological neural network. The purpose of this network is not to perform any specific task (such as prediction) but to simulate processes in human brain, e. g. the loss of attention.
Keywords: homeostasis, artificial neural network, biological neural network, learning, stability
EXTENSION of the file: .pdf
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How Did you learn about congress: artificial neural networks, artificial intelligence, modelling
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