Emotional simulations and depression diagnostics

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• 作者：Max Talanov^b ; ^{max.talanov@gmail.com} ; Jordi Vallverd&uacute ; ^a ; ^{jordi.vallverdu@uab.cat} ; Bin Hu^c ; ^{bh@lzu.edu.cn} ; Philip Moore^c ; ^{ptmbcu@gmail.com} ; Alexander Toschev^b ; ^{atoschev@kpfu.ru} ; Diana Shatunova^b ; ^{dianashatunova@gmail.com} ; Anzhela Maganova^b ; ^{anzhelamaganova@gmail.com} ; Denis Sedlenko^b ; ^{denis.sedlenko@gmail.com} ; Alexey Leukhin^b ; ^{alexey.panzer@gmail.com}
• 关键词：Dopamine ; Serotonin ; Fear ; Artificial intelligence ; Simulation ; Rat brain ; Affective computing ; Emotion modelling ; Neuromodulation
• 刊名：Biologically Inspired Cognitive Architectures
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：18
• 期：Complete
• 页码：41-50
• 全文大小：1473 K
• 卷排序：18

文摘

In this work we propose the following hypothesis: the neuromodulatory mechanisms that control the emotional states of mammals can be translated and re-implemented in a computer by controlling the computational performance of a hosted computational system. In our specific implementation, we represent the simulation of the ‘fear-like’ state based on the three dimensional neuromodulatory model of affects, in this paper ‘affects’ refer to the basic emotional inborn states, inherited from works of Hugo Lövheim. Whilst dopamine controls attention, serotonin is the key for inhibition, and fear is a elicitator for inhibitory and protective processes. This inhibition can promote [in a cognitive system] to blocking behaviour which can be labelled as ’depression’. Therefore, our interest is how to reimplement biomimetically both action-regulators without the computational system to resulting in a ‘failed’ scenario. We have simulated 1000 ms of the dopamine system using NEST Neural Simulation Tool with the rat brain as the model. The results of the simulation experiments are reported with an evaluation to demonstrate the correctness of our hypothesis.