
This paper argues that the concept of consciousness does not correspond to a unified or distinct phenomenon, but rather functions as a linguistic construct that compresses multiple separable neurocognitive processes under a single term. Instead of treating consciousness as a single entity, the paper proposes a process-based account in which predictive modeling, attention, valuation, memory integration, and interoceptive regulation interact to produce the functional patterns commonly attributed to conscious experience. Drawing on predictive processing and contemporary neuroscience, this framework challenges the assumption of consciousness as a natural kind and reframes long-standing problems such as the explanatory gap. By shifting the focus from static categories to dynamic processes, it offers a more precise and empirically grounded approach to the study of mind.
Consciousness, Predictive processing, Neurophilosophy
Consciousness, Predictive processing, Neurophilosophy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
