Abstract
A functional model of limbic system of brain is proposed by combining four conventional models: a chaotic neural network (CNN), a multi- layered chaotic neural network (MCNN), a hippocampus-neocortex model and an emotional model of amygdala. The composite model can realize mutual association of multiple time series patterns and transform short-term memory to long-term memory. The simulation results showed the effectiveness of the proposed model, and this study suggests the possibility of the brain model construction by means of integration of different kinds of artificial neural networks.
A part of this study was supported by JSPS-KAKENHI (No.18500230, No.20500277 and No.20500207).
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Kuremoto, T., Ohta, T., Kobayashi, K., Obayashi, M. (2009). A Functional Model of Limbic System of Brain. In: Zhong, N., Li, K., Lu, S., Chen, L. (eds) Brain Informatics. BI 2009. Lecture Notes in Computer Science(), vol 5819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04954-5_24
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DOI: https://doi.org/10.1007/978-3-642-04954-5_24
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