Subpersonal priors—unconscious probabilistic beliefs encoded at the neural level rather than in conscious awareness—significantly shape our emotional responses through hierarchical predictive processes that operate largely outside our awareness. These implicit expectations function as the brain’s automatic hypothesis-testing mechanisms, fundamentally influencing how we experience and respond to emotional stimuli by establishing a framework through which sensory information is interpreted.
The Predictive Foundation of Emotional Experience
The predictive processing framework provides a powerful explanatory model for understanding emotional experience. According to this perspective, the brain constantly generates predictions about incoming sensory information, testing these predictions against actual sensory input and updating its internal model accordingly. This process operates across multiple hierarchical levels, with subpersonal priors serving as the foundational expectations against which sensory data is evaluated.
As described in current neuroscientific understanding, “Predictive processing assumes that the brain infers (probabilistically) the likely cause of sensation experienced through the sense organs, by testing this sensory data against its innate and learned ‘priors’”1. This inferential process underpins our emotional experiences, which emerge from the complex interplay between sensory input and prior expectations.
The theory of constructed emotion, developed by Barrett, further elaborates this view, proposing that emotions arise as the brain activates “embodied simulations” to anticipate sensory experiences2. These simulations represent full-bodied predictions about how our bodies will respond to anticipated events, and when prediction error for a certain category of simulations is minimized, what results is a correction-informed simulation that the body reenacts for similar experiences—producing what we recognize as an emotion2.
Interoception and Emotional Inference
A crucial aspect of emotion formation involves interoception—the sensing of internal bodily states—which operates largely at subpersonal levels. Research demonstrates that “the subjective experience of emotion is generated from the integration of interoceptive signals with other sensory input, as well as top-down influences”1. These top-down influences include subpersonal priors that shape how interoceptive signals are interpreted.
Importantly, interoceptive sensations often comprise the signals from the body to the brain about motivational states, with autonomic nervous system sequelae serving as effectors of this processing1. When subpersonal priors exert excessive influence over this process, they can generate distorted emotional responses. As one study notes, “Prior beliefs or expectations stimulate reactive processes, quickly defining subjective experience, allowing little room for any testing of these potentially distorted beliefs against reality”1.
Active Inference and Valence in Emotional Processing
The active inference model provides a computational framework for understanding how subpersonal priors influence emotional responses. Active inference starts with the premise that perception is an interaction between the brain’s model of what is expected and its comparison to actual sensory evidence3. The model posits that “agents infer their valence state based on the expected precision of their action model—an internal estimate of overall model fitness”3.
This framework suggests that maintaining internal valence representations allows the “affective agent” to optimize confidence in action selection preemptively3. Valence itself emerges from this predictive process as the brain evaluates the precision of its predictions against sensory evidence. When there is alignment, positive valence tends to emerge; when there is significant mismatch, negative valence results.
According to this computational understanding, “bayes-optimal inference about the most likely cause of the sensory input” determines our emotional states7. The precision assigned to various signals (subpersonal priors vs. sensory input) determines which information will dominate perception and potentially reach conscious awareness, thereby shaping our emotional experiences.
The Hierarchical Nature of Emotional Priors
Emotional processing involves priors operating at multiple hierarchical levels. Higher-order priors help categorize and contextualize emotional experiences, while lower-level priors shape immediate sensory processing. This hierarchical structure explains why some emotional responses feel automatic and difficult to control—they originate from deeply embedded subpersonal priors that operate below conscious awareness.
In Barrett’s theory of constructed emotion, conceptual categories emerge through a trial-error-adjust process, wherein our bodies find similarities in goals among successful anticipatory simulations and group them together2. Every new experience is matched to one of these categories and the associated simulation is applied in preparation for the experience. If prediction error occurs, the simulation and category boundaries may be revised2.
Importantly, research on predictive processing challenges traditional approaches in affective neuroscience that assume stable and unique neural signatures for emotions8. Instead, emotions are seen as emerging from domain-general, large-scale brain circuits supporting homeostasis and interoception10. This suggests that subpersonal priors influence emotional responses through general predictive mechanisms rather than emotion-specific circuits.
Pre-emotional Awareness and Response
Some researchers propose a “content-priority view” suggesting that emotions are responses to forms of pre-emotional value awareness4. This perspective suggests that emotional experiences “do not have evaluative content” but instead are “responses to forms of pre-emotional value awareness”4. Importantly, for this pre-emotional awareness to make emotional responses intelligible, it likely involves “a conscious, personal level evaluative state, involving explicit attention to the evaluative standing of the relevant object”4.
However, while the content-priority view emphasizes conscious pre-emotional awareness, evidence suggests that much of emotional processing operates at subpersonal levels. Many interoceptive signals are processed unconsciously, but some “unusual” signals—those that violate predictions—receive special attention and are often interpreted as “bad feelings, negative emotions, or pain”5.
Contextual Uncertainty and Emotion Regulation
Subpersonal priors interact dynamically with emotion regulation strategies and contextual uncertainty. Research shows that “emotion regulation (ER) strategies can influence how affective predictions are constructed by the brain (generation stage) to prearrange responses to expected situations (implementation stage)”10. This suggests that habitual emotion regulation strategies may modulate the influence of subpersonal priors on emotional responses.
The influence of contextual uncertainty on emotional processing is particularly significant. Studies indicate that “contextual uncertainty (namely, stimuli predictability, as spontaneously inferred from the information conveyed by environmental cues) can modulate affective prediction construction”10. This interaction between subpersonal priors and contextual uncertainty helps explain why emotional responses vary across different situations even when the triggering stimuli are similar.
Social Influences on Emotional Priors
Group-based social knowledge constitutes another important class of subpersonal priors that influence emotional processing. Research demonstrates that “social knowledge about others can modulate early visual perception”13, suggesting that stereotypes and prejudices can alter even the earliest phases of perceiving and responding emotionally to other people.
These social priors operate largely at subpersonal levels and can be particularly resistant to updating. As noted in research, “higher order priors can be less amendable to update if the existing higher order predictions are positive for the agent and the incoming evidence is negative for the agent”13. This explains why socially-based emotional responses can persist even in the face of contradictory evidence.
Therapeutic Implications
The influence of subpersonal priors on emotional responses has significant implications for therapeutic approaches. The active inference theory suggests that “chronic pain and emotional disorders can be attributed to distorted and exaggerated patterns of interoceptive and proprioceptive inference”5. By understanding emotions through this predictive framework, therapists might target the precision weighting of subpersonal priors to modify emotional responses.
One therapeutic approach involves “mentalizing interoception” through focused attention to bodily sensations within the safety of a therapeutic relationship1. This process provides “a route to mentalizing interoception, by means of the bodily cues that may be the only conscious element of deeply hidden priors”1. Such approaches can potentially “update patients’ characteristic, dysfunctional responses to emotion and feelings; increase emotional insight; decrease cognitive distortions; and engender a more acute awareness of the present moment”1.
Conclusion
Subpersonal priors profoundly influence our emotional responses through hierarchical predictive processes operating largely outside conscious awareness. These unconscious expectations shape how we interpret interoceptive signals, contextual information, and social cues, thereby determining our emotional experiences and responses. The predictive processing framework provides a comprehensive account of these processes, explaining how emotions emerge from the complex interplay between prior beliefs and sensory evidence.
Understanding the role of subpersonal priors in emotional processing has important implications for addressing emotional disorders and developing more effective therapeutic approaches. By targeting the precision weighting of these priors, it may be possible to modify maladaptive emotional responses and enhance emotional well-being. As research in this area continues to advance, we gain deeper insights into the computational mechanisms underlying our emotional lives.