Prediction and control of operant behavior: What you see is not all there is

Habit and persistence

Voluntary behaviors (operants) can come in two varieties: Goal-directed actions, which are emitted based on the remembered value of the reinforcer, and habits, which are evoked by antecedent cues and performed without the reinforcer's value in active memory. The two are perhaps most clearly distinguished with the reinforcer-devaluation test: Goal-directed actions are suppressed when the reinforcer is separately devalued and responding is tested in extinction, and habitual behaviors are not. But what is the function of habit learning? Habits are often thought to be strong and unusually persistent. The present selective review examines this idea by asking whether habits identified by the reinforcer-devaluation test are more resistant to extinction, resistant to the effects of other contingency change, vulnerable to relapse, resistant to the weakening effects of context change, or permanently in place once they are learned. Surprisingly little evidence supports the idea that habits are permanent or more persistent. Habits are more context-specific than goal-directed actions are. Methods that make behavior persistent do not necessarily work by encouraging habit. The function of habit learning may not be to make a behavior strong or more persistent but to make it automatic and efficient in a particular context.

Relapse after incentivized choice treatment in humans: A laboratory model for studying behavior change

Behavior change interventions that incentivize desired behavior are highly effective for improving personal health, but difficult to maintain long term. Relapse is common and examining the mechanisms that contribute to relapse in experimental settings can identify processes relevant to substance abuse treatment. We developed a laboratory task that parallels a recent operant model of relapse after incentivized choice reported in the rodent laboratory. In two experiments, undergraduate participants first learned to make an operant response (keyboard button; R1) to earn a reinforcer consisting of an image of a preferred snack food (O1). In a second phase (Phase 2), R1 was still reinforced, but a new response (R2) was introduced and reinforced with a different reinforcer (a coin; O2). In a test phase, contingent incentives for R2 were removed (extinction) and relapse of R1 was assessed. Experiment 1 found that the O2 contingency suppressed R1 during Phase 2, and R1 relapsed rapidly in the test. Neither effect was consistently related to O2 value. Experiment 2 examined whether noncontingent presentations of O1 or O2 during the test could weaken relapse. Here, we found that noncontingent reinforcers did little to reduce or slow the increase in R1 responding. The present experiments highlight a laboratory approach to studying variables that may influence relapse after incentivized treatment. We identify and discuss areas for development to address differences between the present results and prior observations from animal and clinical studies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A Push For Examining Subjective Experience in Value-Based Decision-Making

Subjective experience is a powerful contributor to value-based decision-making. Not every decision is the same, nor made in isolation. Rather, decision-making relies on historical information and internal states for adaptive control. Hence, it is inherently continuous with respect to time - one decision or action evolves into the next. However, forays into the neurobiological underpinnings of decision-making have too frequently ignored the contribution of such continuous subjective experience, instead tying circuit activity and brain area involvement to discrete averaged behaviors and task parameters. While much information has been gained through these investigations, recent works have demonstrated the potential for a greater understanding of neural mechanisms when the continuous, experiential nature of behavior is integrated into the investigation. Such integration has important implications for disease states with disordered decision-making such as addiction, where subjective experience is a large contributor to the disorder.

Local D2- to D1-neuron transmodulation updates goal-directed learning in the striatum

Extinction learning allows animals to withhold voluntary actions that are no longer related to reward and so provides a major source of behavioral control. Although such learning is thought to depend on dopamine signals in the striatum, the way the circuits that mediate goal-directed control are reorganized during new learning remains unknown. Here, by mapping a dopamine-dependent transcriptional activation marker in large ensembles of spiny projection neurons (SPNs) expressing dopamine receptor type 1 (D1-SPNs) or 2 (D2-SPNs) in mice, we demonstrate an extensive and dynamic D2- to D1-SPN transmodulation across the striatum that is necessary for updating previous goal-directed learning. Our findings suggest that D2-SPNs suppress the influence of outdated D1-SPN plasticity within functionally relevant striatal territories to reshape volitional action.