Evolving Consciousness: Insights From Turing, and the Shaping of Experience.
Frontiers in behavioral neuroscience January 1, 2020 DOI: 10.3389/fnbeh.2020.598561 via PubMed
Summary
AI-generated from the abstractThe evolution of consciousness from a pre-conscious state presents conceptual difficulties analogous to biological pattern formation, as described by Alan Turing. Just as molecular-level statistical variations can seed biological patterns, the microstructure of synaptic networks and their activity patterns can vary, with some variants serving as neural correlates of consciousness (NCCs). If NCCs must be precisely ordered to evoke specific experiences, Turing's framework helps explain how such order arises developmentally and how neural changes correlate with conscious experience. The analysis does not address the ultimate nature of consciousness but shows that once sentience emerges, evolution can elaborate and shape that experience.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Emergence Evolutionary innovation Hard problems Qualia Sentience |
| Key finding | Turing's formulation of biological pattern formation provides a useful conceptual framework for understanding how the evolution of consciousness depends on competition among variants in synaptic microstructure, with reliably ordered neural correlates of consciousness (NCCs) enabling specific conscious experiences. |
Abstract
A number of conceptual difficulties arise when considering the evolutionary origin of consciousness from the pre-conscious condition. There are parallels here with biological pattern formation, where, according to Alan Turing's original formulation of the problem, the statistical properties of molecular-level processes serve as a source of incipient pattern. By analogy, the evolution of consciousness can be thought of as depending in part on a competition between alternative variants in the microstructure of synaptic networks and/or the activity patterns they generate, some of which then serve as neural correlates of consciousness (NCCs). Assuming that NCCs perform this function only if reliably ordered in a particular and precise way, Turing's formulation provides a useful conceptual framework for thinking about how this is achieved developmentally, and how changes in neural structure might correlate with change at the level of conscious experience. The analysis is largely silent concerning the nature and ultimate source of conscious experience, but shows that achieving sentience is sufficient to begin the process by which evolution elaborates and shapes that first experience. By implication, much of what evolved consciousness achieves in adaptive terms can in principle be investigated irrespective of whether or not the ultimate source of real-time experience is known or understood. This includes the important issue of how precisely NCCs must be structured to ensure that each evokes a particular experience as opposed to any other. Some terminological issues are clarified, including that of "noise," which here refers to the statistical variations in neural structure that arise during development, not to sensory noise as experienced in real time.