Abstract

In the visual system, specific patterns of neural activity are necessary for the conscious percept of a very specific image. Similarly, it is reasonable to assume that also intentions are coded by specific patterns of activity. Such specific conditions have been termed the “core neural correlates of consciousness” (NCC). This means a minimal set of neurons with a “direct correlation” or “tight mapping” with a specific class of experiences. Importantly, every class of mental states (sensory percepts, memories, intentions, etc.) can have a different core NCC. The big question is: What is the core NCC for conscious intentions? What is needed is a way to translate the general formula mentioned above into a scientific research program. How would one be able to identify the core NCC of a specific intention? How would one know which of the approximately 85 000 000 000 neurons in the human brain is relevant? And what is the coding format? This chapter focuses on coding principles for intentions, rather than providing an overview of the entire cognitive neuroscience of intentions.

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