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Modeling Psycho-Emotional States via Neurosimulation of Monoamine Neurotransmitters

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Blended Cognition

Abstract

In this paper we present a new computational bio-inspired approach. We use the three-dimensional model of emotions created by the Hugo Lövheim “cube of emotions” and validated it via neurosimulation in NEST. We present a computational model that bridges psycho-emotional states with computational processes as the extension of the model “cube of emotions.” Results of the neurosimulation indicate the incremental influence of dopamine over computational resources used for the computation of a simulation of a psycho-emotional state as well as noradrenaline modulation of the dopamine system, whereas in contrast serotonin decreases the computational resources used to calculate the simulation of a psycho-emotional state. These results indicate the overall correctness of the neuro-mimetic approaches of artificial cognition that not only are feasible but also offer new and unique ways of designing computing architectures with special performing potential.

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Acknowledgements

The specific researches of Professor Vallverdú are supported by the project “Innovacion epistemológica: el caso de las ciencias biomédicas” (FFI2017-85711-P). The work of Max Talanov, Alexey Leukhin, and Fail Gafarov is supported by the Program of Competitive Growth of KFU and was funded by the subsidy allocated to KFU for the state assignment in the sphere of scientific activities number 2.8303.2017/8.9.

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Talanov, M., Leukhin, A., Lövheim, H., Vallverdú, J., Toschev, A., Gafarov, F. (2019). Modeling Psycho-Emotional States via Neurosimulation of Monoamine Neurotransmitters. In: Vallverdú, J., Müller, V. (eds) Blended Cognition. Springer Series in Cognitive and Neural Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-03104-6_6

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