The critical effect of diffusion coefficients and boundary data on the global exponential stabilization of delayed Markovian jump neural control systems

2021 ◽  
Author(s):  
Puchen Liu ◽  
Yan Jin ◽  
Guoyan Cao
Keyword(s):  
Control Systems ◽  
Diffusion Coefficients ◽  
Boundary Data ◽  
Neural Control ◽  
Exponential Stabilization ◽  
Markovian Jump ◽  
Critical Effect ◽  
Global Exponential Stabilization

scholarly journals Control without Controllers: Toward a Distributed Neuroscience of Executive Control

2017 ◽  
Vol 29 (10) ◽  
pp. 1684-1698 ◽  
Author(s):  
Benjamin R. Eisenreich ◽  
Rei Akaishi ◽  
Benjamin Y. Hayden
Keyword(s):  
Control Systems ◽  
Executive Control ◽  
Neural Control ◽  
Group Living ◽  
Neural Systems ◽  
Large Numbers ◽  
Alternative Approach ◽  
And Behavior ◽  
Control Modules ◽  
Organizing Principles

Executive control refers to the regulation of cognition and behavior by mental processes and is a hallmark of higher cognition. Most approaches to understanding its mechanisms begin with the assumption that our brains have anatomically segregated and functionally specialized control modules. The modular approach is intuitive: Control is conceptually distinct from basic mental processing, so an organization that reifies that distinction makes sense. An alternative approach sees executive control as self-organizing principles of a distributed organization. In distributed systems, control and controlled processes are colocalized within large numbers of dispersed computational agents. Control then is often an emergent consequence of simple rules governing the interaction between agents. Because these systems are unfamiliar and unintuitive, here we review several well-understood examples of distributed control systems, group living insects and social animals, and emphasize their parallels with neural systems. We then reexamine the cognitive neuroscience literature on executive control for evidence that its neural control systems may be distributed.

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