Fail Gafarov
Papers
1
Total Citations
3
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1
About
Fail Gafarov is a researcher at the intersection of computational neuroscience and artificial intelligence, with a primary focus on modeling emotional phenomena through biologically plausible neural simulations. His most notable contribution is the validation and extension of Hugo Lövheim’s “cube of emotion” model, a three-dimensional framework linking neurotransmitter systems (serotonin, dopamine, noradrenaline) to emotional states. In his highly cited 2018 paper, Gafarov simulated these monoamine systems using the NEST neurosimulator, demonstrating how computational processes can bridge biological emotion models with machine learning parameters. This work, with 3 citations, has been influential in advancing bio-inspired emotional architectures for autonomous systems. Gafarov’s research uniquely integrates neurobiology, affective computing, and robotics, offering a foundation for machines that can replicate human-like emotional responses. His achievements include pioneering a computational bridge between Lövheim’s theoretical model and practical neural network implementations, opening new pathways for emotionally intelligent AI.
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