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- W2912806222 abstract "A new computational framework implementing asynchronous neural dynamics is used to address the duality between synchronous vs. asynchronous processes, and their possible relation to conscious vs. unconscious behaviors. Extending previous results on modeling the first three levels of animal awareness, this formalism is used here to produce the execution traces of parallel threads that implement these models. Running simulations demonstrate how sensory stimuli associated with a population of excitatory neurons inhibit in turn other neural assemblies i.e., a kind of neuronal asynchronous wiring/unwiring process that is reflected in the progressive trimming of execution traces. Whereas, reactive behaviors relying on configural learning produce vanishing traces, the learning of a rule and its later application produce persistent traces revealing potential synchronous roots of animal awareness. In contrast, to previous formalisms that use analytical and/or statistical methods to search for patterns existing in a brain, this new framework proposes a tool for studying the emergence of brain structures that might be associated with higher level cognitive capabilities." @default.
- W2912806222 created "2019-02-21" @default.
- W2912806222 creator A5033484242 @default.
- W2912806222 date "2019-02-12" @default.
- W2912806222 modified "2023-10-16" @default.
- W2912806222 title "Symbolic Modeling of Asynchronous Neural Dynamics Reveals Potential Synchronous Roots for the Emergence of Awareness" @default.
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- W2912806222 doi "https://doi.org/10.3389/fncom.2019.00001" @default.
- W2912806222 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6380086" @default.
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