Control without Controllers: Toward a Distributed Neuroscience of Executive Control

Area of Science:

• Cognitive Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Executive control is crucial for regulating cognition and behavior.
• Traditional models assume anatomically segregated, specialized control modules in the brain.
• An alternative perspective views executive control as emergent from distributed systems.

Purpose of the Study:

• To explore the concept of executive control as a distributed self-organizing principle.
• To draw parallels between biological distributed systems and neural control mechanisms.
• To re-examine cognitive neuroscience literature for evidence of distributed neural control.

Main Methods:

• Review of well-understood distributed control systems in group-living insects and social animals.
• Analysis of parallels between these biological systems and neural networks.
• Re-examination of existing cognitive neuroscience literature on executive control.

Main Results:

• Distributed systems, like insect societies, exhibit emergent control from simple interaction rules.
• These systems offer intuitive parallels to how neural control might operate.
• Evidence suggests that neural control systems for executive functions may indeed be distributed.

Conclusions:

• Executive control may not rely solely on segregated modules but can emerge from distributed neural interactions.
• Studying distributed systems in nature provides valuable insights into brain function.
• A distributed framework offers a compelling alternative for understanding executive control mechanisms.