paper:doi-10-1080-17588921003731586How neuroscience will change our view on consciousness
Original abstract (expand)
Is there consciousness in machines? Or in animals? What happens to consciousness when we are asleep, or in vegetative state? These are just a few examples of the many questions about consciousness that are troubling scientists and laypersons alike. Moreover, these questions share a striking feature: They seem to have been around forever, yet neither science nor philosophy has been able to provide an answer. Why is that? In my view, the main reason is that the study of consciousness is dominated by what we know from introspection and behavior. This has fooled us into thinking that we know what we are conscious of. The scientific equivalent of this is Global Workspace theory. But in fact we don't know what we are conscious of, as I will explain from a simple experiment in visual perception. Once we acknowledge that, it is clear that we need other evidence about the presence or absence of a conscious sensation than introspection or behavior. Assuming the brain has something to do with it, I will demonstrate how arguments from neuroscience, together with theoretical and ontological arguments, can help us resolve what the exact nature of our conscious sensation is. It turns out that we see much more than we think, and that Global Workspace theory is all about access but not about seeing. The exercise is an example of how neuroscience will move us away from psychological intuitions about consciousness, and hence depict a notion of consciousness that may go against our deepest conviction: "My consciousness is mine, and mine alone." It's not.
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
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- How does the primate brain combine generative and discriminative computations in vision?James J. DiCarlo, Todd Gureckis, Ralf Haefner, Leyla Isik, Joshua Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte Benjamin Peters2024≈ 74%
- The Machine Consciousness Hypothesisin corpus≈ 73%
- Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perceptionMarcel van Gerven Pablo Lanillos2021≈ 73%
- cimcWhitepaperin corpus≈ 73%
- Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine ArchitectureR.R. Panda C.N. Padhy2010≈ 73%
- A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing MachineManuel Blum Lenore Blum2022≈ 73%
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- Collective intelligence: A unifying concept for integrating biology across scales and substratesin corpus2024≈ 68%
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- Why Learning Requires Feelingin corpus2026≈ 67%
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- The computational boundary of a 'self': developmental bioelectricity drives multicellularity and scale-free cognitionin corpus2019≈ 66%
- The World Inside Neural Networksin corpus2026≈ 66%
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