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Information × Registration Number 2124U004687, Article popup.category Препринт Title popup.author Solodzhuk Hlib popup.publication 01-01-2024 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4852 popup.publisher Description Attention is the ability to flexibly allocate a limited amount of computational resources to the propagation, procession, and utilization of the relevant information from the environment. The study of its modulation is crucial for understanding our, frankly, the most vital cognitive function, designing drug therapy for curing its dysfunction and developing intelligent agents by adapting efficient mechanisms. Serotonin (5-HT) is one of the essential neuromodulators in the nervous system, which participates in mood and perception regulation as well as anxiety and stress coping mechanisms. Though the experimental findings in the field suggest poten- tial anatomical overlaps between serotonin and structures that support attention allocation, the underlying mechanisms for the causal effect remain unknown. In this study, we develop a computational model of a ring attractor network consisting of RS excitatory neurons and FS inhibitory interneurons. When presented with external stimuli, the circuit is able to transfer from the spontaneous state to the attractor one, which remembers the stimuli even after their removal. Then, we assess the serotonin’s impact on the dynamics of the network by changing its concentration. We reveal that decreased and increased levels of 5-HT impair the network’s ability to remember the stimuli; however, this is due to different changes in its qualitative behavior, which aligns with the available literature on serotonin’s modulation function. The network’s implementation and simulation runs can be found on the following GitHub repository. popup.nrat_date 2025-05-09 Close