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Computation meets Emotional Systems: a synergistic approach

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Research on emotion has increased notably over the past two decades with many fields contributing including psychology, neuroscience, pharmacy, medicine, history, sociology, chemistry and even computer science. Current areas of research in the concept of emotion include the development of materials that ...

Research on emotion has increased notably over the past two decades with many fields contributing including psychology, neuroscience, pharmacy, medicine, history, sociology, chemistry and even computer science. Current areas of research in the concept of emotion include the development of materials that stimulate and elicit emotion or recognize them (EEG, Speech, PET scans or fMRI can help study the affective processes in the brain).

Emotion is a subjective, unconscious experience characterized primarily by psycho-physiological expressions, biological reactions, and mental states. It is influenced by hormones and neurotransmitters such as dopamine, noradrenaline, serotonin, oxytocin, GABA… etc. Emotion is often the driving force behind motivation, positive or negative. The physiology of emotion is closely linked to arousal of the nervous system with various states and strengths relating, apparently, to different particular emotions.

Paleocircuits are neural platforms for bodily expression configured before the advent of cortical circuits for speech. They consist of pre-configured pathways or networks of nerve cells in the primitive brain. With the arrival of night-active mammals, smell replaced vision as the dominant sense, and a different way of responding arose from the olfactory sense, which is proposed to have developed into mammalian emotion and emotional memories. More recent research has shown that some of these limbic structures are not as directly related to emotion as others are, while some non-limbic structures have been found to be of greater emotional relevance.

Traditionally, when ICT research has been performed in relation to the human brain, the focus has been on the cognitive brain not on emotional systems. The term emotion should be taken in a broad sense: from neurons neurophysiology to human behaviour. Computational Emotional Systems also put a focus inside emotion detection: using speech signals or EEG, fMRI, or PET traces are examples of emotional processing systems. An emotional induction, using emotional neuromorphic systems, or neuroprosthetics are the other hand of emotional systems.

We encourage researchers from the classical fields of psychology, neuroscience, pharmacy, medicine, chemistry, and computational biology to converge with those active in other fields of investigation as neuromorphic speech processing, brain computer interfaces, neuromorphic based robotics, information processing, and neuroprosthetics. We welcome researchers to contribute their original papers as well as review articles relevant to the topic to: provide works regarding the synergistic approach from computation to emotional neural systems.

Indeed, the intrinsic multidisciplinary nature of the proposed topic, from which we expect to receive contributions from different specialists, will help the scientific community to converge to new ideas and solutions in this emergent field of research.


Important Note: All contributions to this Research Topic must be in line with the scope of the specialty and field to which they are submitted, as defined in their mission statements. Manuscripts discovered during any stage of peer review to be outside of the scope may be transferred to a suitable section or field, or withdrawn from review.

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