Minimalist Social-Affective Value for Use in Joint Action: A Neural-Computational Hypothesis

DigiDOP: A framework for applying digital technology to the Differential Outcomes Procedure (DOP) for cognitive interventions in persons with neurocognitive disorders

We present a framework -Digi-DOP- that includes a series of evidence-based recommendations to design and apply cognitive interventions for people with Neurocognitive Disorders (NCDs) using a relatively new approach, the Differential Outcomes Procedure (DOP). To do so, we critically review the substantial experimental research conducted with relevant clinical and non-clinical populations, and the theoretical underpinnings of this procedure. We further discuss how existing digital technologies that have been used for cognitive interventions could be applied to overcome some of the limitations of DOP-based interventions and further enhance DOP benefits. Specifically, we present three digital DOP developments that are currently being designed, investigated and/or tested. Finally, we discuss constraints, ethical and legal considerations that need to be taken into account to ensure that the use of technology in DOP-based interventions proposed here does not widen disparities and inequalities. We hope that this framework will inform and guide digital health leaders and developers, researchers and healthcare professionals to design and apply DOP-based interventions for people with NCDs.

Vicarious value learning by differential outcomes training: A social transfer of control methodology

This article adapts an existing experimental protocol for assessing individuals’ ability to transfer knowledge across instrumental and pavlovian learning stages. The protocol (Transfer of Control using differential outcomes learning) is adapted to fit social contexts wherein the pavlovian learning phase is modulated so that individuals are able to observe, and potentially learn from, the stimulus associated with reinforcing outcomes presented to another (observable) individual. Transfer of Control concerns participants combining knowledge of learned instrumental and pavlovian (stimulus, response, outcome) associations in order to ground the learning of new associations. The article describes the theoretical and procedural underpinnings of a novel Social Transfer of Control methodology. The use of such a methodology is two-fold: i) to serve as a guide to researchers interested in evaluating how individuals can learn from others in a partially observable setting, i.e. when behavioural and reinforcing outcome information is hidden, and bring to bear this knowledge on their own instrumental decision making; ii), to facilitate investigation of the routes of cognitive and emotional empathy, with potential applications for educational and clinical settings.•

Three stage Transfer of Control behavioural methodology is adapted to include a social (pavlovian) learning stage.

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Hypotheses can be tested that concern learning rewarding instrumental responses achieved by observation of others’ emotionally expressive reactions to differentially rewarding outcomes.

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Methodological and validation considerations for evaluating the above are presented

A social differential outcomes learning task: Performance, EEG, and questionnaire data

This article contains performance data, questionnaire ratings, and EEG data from a differential outcomes learning task from two experiments. In both experiments, the standard differential outcomes learning task was extended to involve a social dimension, in order to capture how people can learn from others by observation. In Experiment 1 (N = 20), using a within-subjects design, participants learned pairings of image stimuli in four conditions: 1) individual-differential outcomes, 2) individual-non-differential outcomes, 3) social-differential outcomes, and 4) social-non-differential outcomes. The social condition had a screen-captured video recording of the outcomes (but not the actions themselves) of another person performing the task. During the task, the performance of the participants was measured. After the task, participants rated their experience in a questionnaire. The procedure for Experiment 2 (N = 33) was similar to Experiment 1, but with a stronger social manipulation using a video of another person's face showing facial expressions reflecting the outcomes. In addition, EEG was measured while performing the task. For more insight, please see Vicarious value learning: Knowledge transfer through affective processing on a social differential outcomes task (Rittmo et al., 2020).

Vicarious Value Learning: Knowledge transfer through affective processing on a social differential outcomes task

The findings of differential outcomes training procedures in controlled stimulus-response learning settings have been explained through theorizing two processes of response control. These processes concern: i) a stimulus-response route, and, ii) an outcome expectancy route through which valuations of stimuli (typically auditory or visual) may be represented. Critically, under certain contingencies of learning, the interaction of these two processes enables a transfer of knowledge. Transfer is hypothesized to occur via implicit inference for response selection given novel stimulus-response pairings. In this article, we test this transfer of knowledge, previously only examined in individual settings, in novel social settings. We find that participants are able to achieve transfer of knowledge and suggest they achieve this through vicariously learning the differential valuations of stimuli made by the (confederate) 'other' involved in the task. We test this effect under two experimental conditions through manipulation of the information made available to participants observing the confederate other's choices. The results of EEG recordings are, additionally, evaluated and discussed in the context of social signalling and emotional and cognitive empathy. We also consider implications for clinical and technological social learning settings.

Re-enacting the Bodily Self on Stage: Embodied Cognition Meets Psychoanalysis

The embodied approach to cognition consists in a range of theoretical proposals sharing the idea that our concepts are constitutively shaped by the physical and social constraints of our body and environment. Still far from a mutually enriching interplay, in recent years embodied and psychoanalytic approaches are converging on similar constructs as the ones of intersubjectivity, bodily self, and affective quality of verbal communication. Some efforts to cope with the sentient subject were already present in classical cognitivism: having expunged desires and conflicts from the cognitive harmony, bodily emotions re-emerged but only as a noisy dynamic friction. In contrast, the new, neural, embodied cognitive science with its focus on bodily effects/affects has enabled a dialogue between neuro-cognitive perspectives and clinic-psychological ones, through shared conceptual frameworks. I will address crucial issues that should be faced on this reconciling path. With reference to two kinds of contemporary addictions - internet addiction disorder and eating disorders - I will introduce a possible therapeutic approach that is built upon the core role of the acting-sentient bodily self in a dynamic-social and affective environment. In Psychoanalytic Psychodrama, the spontaneous re-enactment of a past (socially and physically constrained) experience is actualized by means of the other, the Auxiliary Ego. This allows homeostatic and social-emotional affects, i.e., drives and instincts, to be re-experienced by the agent, the Protagonist, in a safe scenario. The director-psychoanalyst smoothly traces back this simulation to the motivated, and constrained, early proximal embodied interactions with significant others, and to the related instinctual conflicting aims. The psychoanalytic reframing of classical psychodrama does not merely exploit its original cathartic function, rather stands out for exploring the interpersonal constitution of the self, through an actual "re-somatization" of psychoanalytic therapy. Unspoken/unspeakable feelings pop up on stage: the strength of this treatment mainly rests on re-establishing the priority of the embodied Self over the narrative Self. By pointing out the possible conflicts between these two selves, this method can broaden the embodied cognition perspective. The psychodramatic approach will be briefly discussed in light of connectionist models, to finally address linguistic and methodological pivotal issues.

Affective-associative two-process theory: a neurocomputational account of partial reinforcement extinction effects

The partial reinforcement extinction effect (PREE) is an experimentally established phenomenon: behavioural response to a given stimulus is more persistent when previously inconsistently rewarded than when consistently rewarded. This phenomenon is, however, controversial in animal/human learning theory. Contradictory findings exist regarding when the PREE occurs. One body of research has found a within-subjects PREE, while another has found a within-subjects reversed PREE (RPREE). These opposing findings constitute what is considered the most important problem of PREE for theoreticians to explain. Here, we provide a neurocomputational account of the PREE, which helps to reconcile these seemingly contradictory findings of within-subjects experimental conditions. The performance of our model demonstrates how omission expectancy, learned according to low probability reward, comes to control response choice following discontinuation of reward presentation (extinction). We find that a PREE will occur when multiple responses become controlled by omission expectation in extinction, but not when only one omission-mediated response is available. Our model exploits the affective states of reward acquisition and reward omission expectancy in order to differentially classify stimuli and differentially mediate response choice. We demonstrate that stimulus-response (retrospective) and stimulus-expectation-response (prospective) routes are required to provide a necessary and sufficient explanation of the PREE versus RPREE data and that Omission representation is key for explaining the nonlinear nature of extinction data.