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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
Where and how could intentional programs be generated in the brain? A hypothetical model based on glial-neuronal
1Forensic Neuropsychiatry and Gotthard Günther Archives, University of Salzburg, Ignaz-Harrer Strasse 79, A-5020 Salzburg, Austria. bernhard.mitterauer@sbg.ac.at
Bio Systems
|July 25, 2006
Summary
This study proposes intentional programs generated by glial networks, using negative language and gap junctions as negation operators. This framework explores free will as the choice between internal programs and environmental feasibility.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Philosophy of Mind
Background:
- Glial cells play a crucial role in neuronal function through glial-neuronal interactions.
- Existing models often overlook the potential role of glial networks in generating complex cognitive processes.
- The concept of intentionality in artificial and biological systems requires a robust theoretical framework.
Purpose of the Study:
- To propose a novel formalism for generating intentional programs based on glial-neuronal interactions.
- To investigate the role of glial networks, specifically syncytia and gap junctions, in the generation of these programs.
- To address the philosophical problem of free will within this proposed neuro-glial framework.
Main Methods:
- Development of a negative language formalism for intentional program generation.
- Interpretation of glial gap junctions as multirelational negation operators within a permutation system.
- Analysis of glial spatio-temporal boundary-setting functions in interaction with neuronal systems.
Main Results:
- Hypothesized that intentional programs are generated in glial networks (syncytia) via negative language formalism.
- Interpreted gap junctions as negation operators, forming cycles representing potential intentional programs.
- Defined free will as the subjective choice between internal program determination and environmental feasibility.
Conclusions:
- The proposed glial-neuronal interaction model offers a new perspective on intentional program generation.
- The framework provides a potential basis for understanding free will as a function of internal and external factors.
- The model's principles may be applicable to the development of advanced artificial intelligence and robot brains.

