Simulation of serotonin mechanisms in NEUCOGAR cognitive architecture

Max Talanov*, Fail Gafarov, Jordi Vallverdú, Sergey Ostapenko, Marat Gazizov, Alexander Toschev, Alexey Leukhin, Salvatore Distefano

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


This work aims at demonstrating that the neuromodulatory mechanisms that control the emo-tional states of mammals (specifically rat's brains) can be represented and re-implemented in a computational model processed by a machine. In particular we specifically focus on two neuro-transmitters, serotonin and dopamine, starting from their fundamental role in basic cognitive processes. In our specific implementation, we represent the simulation of the 'disgust-like' state based on the three dimensional neuromodulatory model of affects or emotions, according to the 'cube of emotions'. These functional mechanisms can be transferred into an artificial system: Inhibition, for example, can elicit a blocking behaviour that, depending on its intensity and duration, can push the system to a general emotional state. We have simulated 1000 mil-liseconds of the serotonin and dopamine systems using NEST Neural Simulation Tool with the rat brain as the model to artificially reproduce this mechanism on a computational system.

Original languageEnglish
Pages (from-to)473-478
Number of pages6
JournalProcedia Computer Science
Publication statusPublished - 2018


  • Affective computing
  • Artificial intelligence
  • Disgust
  • Dopamine
  • Emo-tion modelling
  • Neuromodulation
  • Serotonin
  • Simulation


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