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The exclusionary approach to consciousness
Marlo Paßler1,2,3
1Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstraße 56, Berlin 10117, Germany.
This study introduces an exclusionary approach to consciousness research, using stable subjective reports to identify neural correlates of consciousness (NCCs). This method complements existing techniques by ruling out neural activity unrelated to consciousness.
Area of Science:
- Neuroscience
- Philosophy of Mind
- Cognitive Science
Background:
- The standard method for identifying neural correlates of consciousness (NCCs) compares brain activity during conscious versus unconscious trials.
- This standard approach faces challenges due to difficulties in defining and measuring consciousness consistently.
- Lack of consensus hinders the establishment of definitive criteria for consciousness theories.
Purpose of the Study:
- To propose an alternative methodology for NCC research: the exclusionary approach.
- To leverage reliable subjective reports under normal conditions to refine NCC identification.
- To offer a less contentious method for establishing hard criteria for consciousness theories.
Main Methods:
- The exclusionary approach assesses consciousness stability across trials while varying other factors (reports, tasks, attention).
- It contrasts neural activity under stable consciousness conditions to exclude non-NCCs.
- This method can utilize existing research, particularly studies on confounding factors.
Main Results:
- The exclusionary approach yields less contentious results compared to the standard identification method.
- It provides a framework for excluding neural activity not associated with consciousness.
- This method establishes more robust criteria for evaluating theories of consciousness.
Conclusions:
- The exclusionary approach offers a complementary strategy to the standard identification of NCCs.
- It enhances the rigor of consciousness research by providing exclusionary criteria.
- This methodology can be integrated with existing paradigms to advance the field.
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