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Updated: Jun 14, 2025

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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
Published on: July 1, 2014
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Conscious Causality, Observer-Observed Simultaneity, and the Problem of Time for Integrated Information Theory
1Independent Researcher, London, UK.
Entropy (Basel, Switzerland)
|August 29, 2024
Summary
This study proposes a temporal solution to the hard problem of consciousness, suggesting that consciousness has causal power due to simultaneous causation. It critiques Integrated Information Theory (IIT) for its spatial focus and advocates for a temporal model.
Area of Science:
- Consciousness Studies
- Theoretical Physics
- Philosophy of Mind
Background:
- The 'hard problem' of consciousness arises from its unproven causal power within physics.
- Integrated Information Theory (IIT) posits consciousness is identical to physical structures with emergent causal power.
- IIT's spatial focus, rather than temporal, is a key conceptual flaw.
Purpose of the Study:
- To address the 'hard problem' of consciousness by incorporating its temporal features.
- To critique and refine Integrated Information Theory (IIT).
- To propose a new framework for measuring consciousness's causal power.
Main Methods:
- Deductive reasoning to establish consciousness's causal power.
- Critique of IIT's spatial focus in favor of temporal dynamics.
- Repurposing complexity theory for temporal causal connections.
Main Results:
- Consciousness possesses causal power due to phenomenological simultaneity (experiencer and experienced are simultaneous).
- IIT's measure of integrated information (Φ) is flawed due to its spatial orientation.
- A temporal model can resolve the 'hard problem' by focusing on events in time.
Conclusions:
- Integrating the temporal dimension of consciousness is crucial for solving the 'hard problem'.
- A revised model, rooted in complexity theory, can measure temporally-based causal connections.
- Consciousness's causal power stems from its simultaneous, rather than sequential, nature.
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