The Self-Simulation Theory: A Computational Theory Of Consciouness
Suvradeep Chakraborty, Ritu Lahkar
ScienceOpen Preprints November 19, 2022 preprint DOI: 10.14293/s2199-1006.1.sor-.ppz776i.v1 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | The authors propose the "Self Simulation theory," arguing that conscious perception is computed when a processing unit they term the Neural Correlates of Consciousness decodes the content of working memory, using representations relayed by interconnected "Auxiliary Neural Networks" that receive sensory input. They claim this model addresses both the hard problem of consciousness and how conscious perception is computed, and that it accounts for phenomenal experiences and past experimental paradigms. |
Abstract
The current theories of consciousness do not address the two major problems:What is the solution to the hard problem of consciousness or What is the experience of self-existence? and How is conscious perception computed? We address these questions using our hypothesized theory:The Self Simulation theory and propose a model of computation of consciousness.The components of the model are an interconnected network of auxiliary processors or Auxiliary Neural Networks(AN) which receives input from the external sensory modalities,computes a representation of the information and relays it to the NCC(Neural Correlates of Consciousness), the NCC – a processing unit which can be neuro anatomically distributed in location but computationally connected to each other and to the Auxiliary Networks,and a working memory which the NCC references for further computation of information.Computation of conscious perception is achieved via the decoding of the content of the memory by the NCC.The self simulation theory accounts not only for the various phenomenal experiences but also experimentation paradigms conducted in the past.
Citations in the library
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