Abstract
In this research, we propose an emotional expression model inspired by amygdala that governs the processing of emotional information. The proposed model achieves two functions; one is discrimination of sensory inputs, and the other is classical conditioning. We also develop a specific digital hardware of the model and integrate an emotional expression system in a real-world robot.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aggleton, J.P.: The amygdala: A Functional Analysis. Oxford University Press, Oxford (2000)
Armony, J.L., Servan-Schreiber, D., Cohen, J.D., LeDoux, J.E.: An anatomically constrained neural network model of fear conditioning. Behav. Neurosci. 109, 246–257 (1995)
Moren, J., Balcenius, C.: A Computational Model of Emotional Learning in the Amygdala. From Animal to Animats 6, 383–391 (2000)
Berglund, E., Sitte, J.: The parameterless self-organizing map algorithm. IEEE Trans. on Neural Netw. 17(2), 305–316 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Sonoh, S. et al. (2010). Emotional Behavior and Expression Based on a Neural Network Model of Amygdala. In: Hanazawa, A., Miki, T., Horio, K. (eds) Brain-Inspired Information Technology. Studies in Computational Intelligence, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04025-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-04025-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04024-5
Online ISBN: 978-3-642-04025-2
eBook Packages: EngineeringEngineering (R0)