Cessation states: Computer simulations, phenomenological assessments, and EMF theories

Abstract

The stream of human consciousness appears to be interruptible, in that we can experience a sensation of ‘returning to ourselves after an absence of content’ (e.g. sleep, anaesthesia, full-absorption meditation). Prima facie, such evidence poses a challenge to simple applications of theories of consciousness based on electromagnetic or neural activity in the brain, because some of this activity persists during periods of interruption. This paper elaborates one of several possible responses to the challenge. We build on a previous theory in which EM field topology delineates complex macrophenomenal experience. We first apply an analytic lens to identify different ways in which field topologies might generate sensations of ‘absence of content’. We then test the feasibility of a particular phenomenological approach for assessing those field topologies, powered by the unusual lucidity about cessation pathways induced via certain meditation practices and psychedelic dosages. We build computational simulations of these cessation pathways and test them on eight interviewees with various levels of experience in cessation states. We conclude that this approach can generate usable insight, but requires further formalisation to fulfil its potential. The findings tentatively support our claims but the theory remains speculative at this stage. We set out empirical tests with 11 specific predictions, both for further phenomenological research and for brain manipulation research. Although they align neatly, our ontological and cessation theories can also be separated. The paper describes how our theories can be consistent with other perspectives on consciousness, such as variants of predictive processing or global network theory.

Author's Profile

Analytics

Added to PP
yesterday

Downloads
0

6 months
0

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?