10 research outputs found

    Emotional cues enhance the attentional effects on spatial and temporal resolution

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    In the present study, we demonstrated that the emotional significance of a spatial cue enhances the effect of covert attention on spatial and temporal resolution (i.e., our ability to discriminate small spatial details and fast temporal flicker). Our results indicated that fearful face cues, as compared with neutral face cues, enhanced the attentional benefits in spatial resolution but also enhanced the attentional deficits in temporal resolution. Furthermore, we observed that the overall magnitudes of individuals’ attentional effects correlated strongly with the magnitude of the emotion × attention interaction effect. Combined, these findings provide strong support for the idea that emotion enhances the strength of a cue’s attentional response

    Reward-based learning for virtual neurorobotics through emotional speech processing

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    Reward-based learning can easily be applied to reallife with a prevalence in teaching methods for children. It alsoallows machines and software agents to automatically determinethe ideal behavior from a simple reward feedback (e.g. encouragement) to maximize their performance. Advancements inaffective computing, especially emotional speech processing (ESP)have allowed for more natural interaction between humans androbots. Our research focuses on integrating a novel ESP systemin a relevant virtual neurorobotic application. We created anemotional speech classifier that successfully distinguished happyand sad utterances. The accuracy of the system was 95.3%and 98.7% during the offline mode (using an emotional speechdatabase) and the live mode (using live recordings), respectively.It was then integrated in a neurorobotic scenario, where a virtualneurorobot had to learn a simple exercise through reward-based learning. If the correct decision was made the robotreceived a spoken reward, which in turn stimulated synapses (inour simulated model) undergoing spike-timing dependent plas-ticity (STDP) and reinforced the corresponding neural pathways.Both our emotional speech processing and neurorobotic systemsallowed our neurorobot to successfully and consistently learnthe exercise. The integration of ESP in real-time computationalneuroscience architecture is a first step toward the combinationof human emotions and virtual neurorobotics

    Controlling Attention to Optimise Hypnosis

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