Operant light self-administration in mice and its relevance to digital technology-based disorders
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2025-03-04
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<jats:title>Abstract</jats:title><jats:p>Behavioral addictions share symptomatological features with substance addiction. From the associative learning perspective, these characteristics include excessive and unregulated self-administration of sensory and other reinforcers, potentially reflecting the transition from goal-directed actions (<jats:italic>action</jats:italic> → <jats:italic>outcome</jats:italic> associations) to habitual responses (<jats:italic>stimulus</jats:italic> → <jats:italic>response</jats:italic> associations). In laboratory mice, light stimulation at an optimal intensity possesses some incentive properties and a brief light pulse represents an effective reinforcer for persistent operant responding. The operant light self-administration paradigm with clearly defined sensory reinforcers and reinforcement schedules may be utilized to elucidate the general mechanisms of excessive habitual responding to seek non-drug and non-feeding cues in mice. This cross-species approach can shed light on some maladaptive habits that have emerged recently in our modern society, including digital technology-based disorders.</jats:p>
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Tam, Shu KE, Aleksandra Stryjska, Helene Gu and Benjamin Becker (2025). Operant light self-administration in mice and its relevance to digital technology-based disorders. Journal of Behavioral Addictions. 10.1556/2006.2025.00017 Retrieved from https://hdl.handle.net/10161/32117.
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Shu Kit Eric Tam
Tam is a behavioral neuroscientist interested in associative learning and biological timing. He received his B.Sc. in Psychology (1st Class Honours), M.Sc. in Psychological Research Methods (Distinction), and Ph.D. in Behavioral Neuroscience from the University of Nottingham, where he investigated the role of the hippocampus in interval timing. After completing his Ph.D. in 2011, he moved to the University of Oxford and worked as a postdoctoral neuroscientist until 2023. His postdoctoral research focused primarily on the regulation of behavior by light and biological clocks (Tam et al., 2016, Proceedings of the Royal Society B; Tam et al., 2017, Journal of Neuroscience; Tam et al., 2021, PNAS). He joined Duke Kunshan University in 2023 as an assistant professor of neuroscience. Some of his ongoing research aims to understand the reinforcing properties of light and its relevance to behavioral addiction (Tam et al., 2025, Journal of Behavioral Addictions).
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