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  Near-critical optimality: sensitivity and confidence trade offs

Levina, A. (2023). Near-critical optimality: sensitivity and confidence trade offs. In Workshop on Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modeling (CNS*2023).

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Levina, A1, Author                 
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1Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3505519              

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 Abstract: The brain is supposed to be optimized for information processing and decision making; at the same time, it is expected to act reliably in the face of multiple sources of external and internal noise. These two qualities, in many cases, are not coinciding in the same "parameter-space." Particularly, closeness to the critical state is shown in many cases to be optimizing the information processing capabilities. However, it is also associated with the largest noise-sensitivity and very long relaxation-times. In my talk, I am going to showcase this trade-off and discuss possible solutions.

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 Dates: 2023-07
 Publication Status: Published online
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Title: Workshop on Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modeling (CNS*2023)
Place of Event: Leipzig, Germany
Start-/End Date: 2023-07-18 - 2023-07-19
Invited: Yes

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Title: Workshop on Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modeling (CNS*2023)
Source Genre: Proceedings
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