Abstract
A spiking-neuron based cognitive model with classical conditioning behaviors is proposed. With a reflex arc structure and a reinforcement learning method based on the Hebb rule, the cognitive model possesses the property of ‘stimulate-response-reinforcement’ and can simulate the learning process of classical conditioning. An experiment on the inverted pendulum validated that this model can learn the balance control strategy by classical conditioning.
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Zuo, G., Yang, B., Ruan, X. (2005). The Cognitive Behaviors of a Spiking-Neuron Based Classical Conditioning Model. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_97
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DOI: https://doi.org/10.1007/11538356_97
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
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