Abstract
AbstractHumans and animals learn optimal behaviors by interacting with the environment. Research suggests that a fast, capacity-limited working memory (WM) system and a slow, incremental reinforcement learning (RL) system jointly contribute to instrumental learning. Situations that strain WM resources alter several decision-making processes and the balance between multiple decision-making systems: under WM loads, learning becomes slow and incremental, while reward prediction error (RPE) signals become stronger; the reliance on computationally efficient learning increases as WM demands are balanced against computationally costly strategies; and action selection becomes more random. Meanwhile, instrumental learning is known to interact with Pavlovian learning, a hard-wired system that motivates approach to reward and avoidance of punishment. However, the neurocognitive role of WM load during instrumental learning under Pavlovian influence remains unknown, while conflict between the two systems sometimes leads to suboptimal behavior. Thus, we conducted a functional magnetic resonance imaging (fMRI) study (N=49) in which participants completed an instrumental learning task with Pavlovian–instrumental conflict (the orthogonalized go/no-go task); WM load was manipulated with dual-task conditions. Behavioral and computational modeling analyses revealed that WM load compromised learning by reducing the learning rate and increasing random choice, without affecting Pavlovian bias. Model-based fMRI analysis revealed that WM load strengthened RPE signaling in the striatum. Moreover, under WM load, the striatum showed weakened connectivity with the ventromedial and dorsolateral prefrontal cortex when computing reward expectations. These results suggest that the limitation of cognitive resources by WM load decelerates instrumental learning through the weakened cooperation between WM and RL; such limitation also makes action selection more random, but it does not directly affect the balance between instrumental and Pavlovian systems.Author SummaryAmong multiple decision-making systems of humans and animals, the Pavlovian system is known for promoting automatic and instinctive behaviors. Understanding the Pavlovian influence on decision-making can offer valuable insights into the mechanism of impulsive and addictive behaviors. Previous studies suggested that prefrontal executive control can be important in regulating the Pavlovian influence. We tested if reducing cognitive resources available for executive control modulates the Pavlovian influence, by adding WM load to an instrumental learning task where Pavlovian influence is beneficial in some conditions but detrimental in others. Contrary to our expectation, constraining cognitive resources with WM load failed to significantly change the contribution of Pavlovian system. Nonetheless, with behavioral analysis and computational modeling, we revealed that WM load makes learning slower and decisions noisier in an instrumental learning task with Pavlovian components. FMRI analysis revealed that the WM load weakens the functional connectivity between the prefrontal cortex and the striatum when people anticipate outcomes before making a decision. The current study contributes to understanding how cognitive resource constraints alter learning and decision-making under Pavlovian influence as well as the neural mechanisms of those effects.
Publisher
Cold Spring Harbor Laboratory