Keywords
Emotional facial processing style
Connectionist computer simulations
How to Cite
Abstract
People with Down syndrome (DS) have difficulties to identify negative emotional faces and they process positive emotion in a different way, especially positive faces that are familiar to them. In order to determine implications of these findings through general models of face recognition, it was first explored the possibility that low level neurocomputational mechanisms can extract the facial properties in two emotional dimensions or valences of human emotion, without supervision. After, a connectionist system was implemented to determine if the controlled damage in a simulated amygdala affects the facial emotional recognition mechanisms. Results suggest that the negative information causes more stable recognition mechanisms in a down-up processing. However, categorization of negative information is less correct than positive, considering a top-down processing. The damage to the negative processing capacities of the simulated amygdala did not produce difficulties in positive and neutral facial identity recognition. Theoretical implications for these results are discussed in this paper.
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