Analysis of neuronal learning models and their applications in computer system design

@inproceedings{Omidvar1987AnalysisON,
  title={Analysis of neuronal learning models and their applications in computer system design},
  author={Massoud Omidvar and John Y. Cheung},
  year={1987}
}
This dissertation analyzes the neuronal learning models, and their application in computer system design. Adaptivity in neuronal elements is achieved via conditioning. Current models of reinforcements for classical conditioning, such as Hebb, Sutton and Barto are investigated and a new model of reinforcement, the most recent trace (MRT) model is introduced. The time domain, and convergence analysis of the models are presented. The signal flow analysis, and the simulation of the presented model… CONTINUE READING

Topics from this paper.