New directions for complex systems in contemporary neuroscience: a morphodynamic and emergent function approach

Area of Science:

• Neuroscience
• Complex Systems
• Morphodynamics

Background:

• Emergence in neuroscience is typically studied at higher levels.
• Neuronal morphology itself can be viewed as an emergent level of organization.
• Existing models often separate form and function.

Purpose of the Study:

• To integrate neuronal morphology with complex systems neuroscience.
• To explore morphodynamics across multiple scales of brain organization.
• To connect cell morphology to emergent network functions and behavior.

Main Methods:

• Reviewing form-based complexity views and early morphogenesis models.
• Integrating cell morphology with behavioral studies.
• Utilizing animal models and human data.
• Applying complex systems neuroscience frameworks.

Main Results:

• Neuronal structure and connectivity emerge from dynamic interactions.
• Emergent network functions are organized around conceptual, experimental, and computational bases.
• The framework addresses neuronal diversity, mother-infant relationships, and comorbidities.

Conclusions:

• An integrated approach enhances understanding of brain organization and function.
• Morphodynamics is crucial for modeling normal and pathological brain states.
• This framework supports collaborative, multiscale research in neuroscience.