A computational model of emotional learning in the amygdala

Morén, J., and Balkenius, C. (2000). A computational model of emotional learning in the amygdala. In Meyer, J-A., Berthoz, A., Floreano, D., Roitblat, H. L., Wilson, S. W. (Eds.), From Animals to Animats 6: Proceedings of the 6th International Conference on the Simulation of Adaptive Behaviour. Cambridge, MA: MIT Press. [PDF]

Abstract

The amygdala has repeatedly been implicated in emotional reactions and in learning of new emotionally significant stimuli. The system forms an important part of motor learning as well as attention. This paper presents a neurologically inspired computational model of the amygdala and the orbitofrontal cortex that aims to partially reproduce the same characteristics as the biological system. This model has been tested in simulations, the results of which are presented.

ERRATA

The equation that describes the update of the weights to the O nodes should be as follows:

ΔWi = β(Si[E-Rew])

We thank Dorota Frydecka for pointing out the error to us.

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