Nickolaos Fragopanagos

TL;DR: A neural network architecture is constructed to be able to handle the fusion of different modalities (facial features, prosody and lexical content in speech) and results are given and their implications discussed.

TL;DR: An engineering control approach to attention is used to model it in a global manner but with relatively sure local foundations at singe neuron level, and the manner in which emotional value can interact with the attention control circuitry is analysed using results of various experimental paradigms.

TL;DR: A brain-based neural model of attention is used to simulate results for the 'attentional blink', observed when a subject is exposed to a rapid stream of stimuli and required to monitor for two successive targets in the stream.

TL;DR: Simulations of three paradigms of attention, such as the attentional blink, object-substitution masking and change blindness, are presented to suggest an explanation of consciousness as created through attention, and to explore the complex nature of attention.

TL;DR: In an attempt to bridge the gap between appraisal theory and the neuroscience of emotions, a computational neural model in which a discrepancy between the internal value of global self- esteem and a more temporary, stimulus-inspired current self-esteem initiates an ongiong emotional response is created.