Neural Reward Processing in Digital Addiction: A Dynamical Systems Theory of Reward Instability

Behavioral addiction in digital environments is an increasingly relevant neurobehavioral phenomenon characterized by persistent engagement with high-frequency, algorithmically optimized reward stimuli. Although neural correlates of addictive behaviors have been widely studied, current models only pa...

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Autores principales:	Anna Makarewicz, Remigiusz Recław, Elżbieta Grzywacz, Krzysztof Chmielowiec, Łukasz Jaworski, Marta Kuczak-Wójtowicz, Jolanta Chmielowiec
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-05-01
Colección:	Brain Sciences
Materias:	behavioral addiction reward processing reward instability reward landscape attractor dynamics reinforcement learning
Acceso en línea:	https://www.mdpi.com/2076-3425/16/6/584
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