Fig. 1.

Architecture of the neural network model. a Modules of the network with their population of neurons. An input module (32 neurons) representing perceptual characteristics of a stimulus sends information to a semantic module (32 neurons) and to an affective module (16 neurons), which represent the semantic and the affective content of the stimulus, respectively. There are feedback connections between the semantic and the affective modules. Semantic and affective nodes send information to output semantic (32 neurons) and output affective (16 neurons) nodes, respectively. The names of the weight matrices are shown between brackets. b Connectivity between the nodes of the network. For visual help, only the connections of some representative neurons in each module are shown