The predictive processing account of action, cognition, and perception is one of the most influential approaches to unifying research in cognitive science. However, its promises of grand unification will remain unfulfilled unless the account becomes theoretically robust. In this paper, we focus on empirical commitments of PP, since they are necessary both for its theoretical status to be established and for explanations of individual phenomena to be falsifiable. First, we argue that PP is a varied research tradition, which may employ (...) various kinds of scientific representations, differing in the scope of empirical commitments they entail. Two major perspectives on PP qua cognitive theory may then be distinguished: generalized vs. hierarchical. The first one fails to provide empirical detail, and the latter constrains possible physical implementations. However, we show that even hierarchical PP is insufficiently restrictive to disallow incorrect models and may be adjusted to explain any neurocognitive phenomenon–including non-existent or impossible ones–through flexible adjustments. This renders PP a universal modeling tool with an unrestricted number of degrees of freedom. Therefore, in contrast with declarations of its proponents, it should not be understood as a unifying theoretical perspective, but as a computational framework, possibly informing further theory development in cognitive science. (shrink)

This article is about impathy (introversive empathy), understood as the ability to share in and understand one’s own feelings, which is considered a critical psychological construct relevant for the recovery and maintenance of mental health. However, while the ability to empathize with oneself has received considerable attention from the clinical community, this has not been paralleled by the same scientific scrutiny, which was subject to the ability to empathize with others. Impathy has not yet been operationally defined and thus has (...) remained relatively unexplored, both conceptually and empirically. This work describes an operational definition of impathy with four dimensions: Perceiving, Meta-Position, Accepting Attitude, and Understanding. Issues of differentiation from related constructs are discussed and avenues of clinical applicability are explored, suggesting that impathy exists as a distinct human capacity, which can be assessed and which has important clinical implications. The paper closes with future directions, including the assessment of impathy and possible research questions. (shrink)

There has recently been a resurgence of philosophical and scientific interest in the foundations of self-consciousness, with particular focus on its altered, anomalous forms. This paper looks at the altered forms of self-awareness in Depersonalization Disorder (DPD), a condition in which people feel detached from their self, their body and the world (Derealisation). Building upon the phenomenological distinction between reflective and pre-reflective self-consciousness, we argue that DPD may alter thetransparencyof basic embodied forms of pre-reflective self-consciousness, as well as the capacity (...) to flexibly modulate and switch between the reflective and pre-reflective facets of self-awareness. Empirical evidence will be invoked in support of the idea that impaired processing of bodily signals is characteristic of the condition. We provide first-hand subjective reports describing the experience of self-detachment or fracture between an observing and an observed self. This split is compared with similar self-detachment phenomena reported in certain Buddhist-derived meditative practices. We suggest that these alterations and changes may reveal the underlying and tacit transparency that characterises the embodied and basic pre-reflective forms of self-consciousness, in the same way that a crack in a transparent glass may indicate the presence of an unnoticed window. (shrink)

This study reviews research about the recognition of one’s own face and discusses scientific techniques to investigate differences in brain activation when looking at familiar faces compared to unfamiliar ones. Our analysis highlights how people do not possess a perception of their own face that corresponds precisely to reality, and how the awareness of one’s face can also be modulated by means of the enfacement illusion. This illusion allows one to maintain a sense of self at the expense of a (...) precise discrimination of self-face. The internal dynamics of different brain processes, associated with the construction of bodily identity and the sense of self and capable of integrating signals from different sensory channels, particularly visual and tactile, create a mirror-mask effect. According to this effect, the self-face reflected by a mirror becomes a mask for the self, which has the features of the subject’s face, but nonetheless does not correspond perfectly to its characteristics. This poses interesting questions about the nature and construction of one’s self, as self-face reflections allow the mind to mediate between analogue and virtual reality, between past and future events, between memories and plans of action and, most importantly, between beliefs about our identities. (shrink)

Recently, the mechanistic framework of active inference has been put forward as a principled foundation to develop an overarching theory of consciousness which would help address conceptual disparities in the field (Wiese 2018 ; Hohwy and Seth 2020 ). For that promise to bear out, we argue that current proposals resting on the active inference scheme need refinement to become a process theory of consciousness. One way of improving a theory in mechanistic terms is to use formalisms such as computational (...) models that implement, attune and validate the conceptual notions put forward. Here, we examine how computational modelling approaches have been used to refine the theoretical proposals linking active inference and consciousness, with a focus on the extent and success to which they have been developed to accommodate different facets of consciousness and experimental paradigms, as well as how simulations and empirical data have been used to test and improve these computational models. While current attempts using this approach have shown promising results, we argue they remain preliminary in nature. To refine their predictive and structural validity, testing those models against empirical data is needed i.e., new and unobserved neural data. A remaining challenge for active inference to become a theory of consciousness is to generalize the model to accommodate the broad range of consciousness explananda; and in particular to account for the phenomenological aspects of experience. Notwithstanding these gaps, this approach has proven to be a valuable avenue for theory advancement and holds great potential for future research. (shrink)