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Identifying and investigating emergent behaviour in neural systems
Kyle C A Wedgwood1, Patrick McGivern2, Alexander R Harris3
1Living Systems Institute, Department of Mathematics and Statistics, University of Exeter, Exeter, United Kingdom.
Frontiers in Neuroscience
|August 8, 2026
Summary
Emergence in neuroscience explains complex brain functions from component interactions. This study proposes a framework to assess emergent behaviors, focusing on novelty, to better understand neural systems like epilepsy.
Area of Science:
- Neuroscience
- Systems Biology
- Computational Neuroscience
Background:
- Emergence is fundamental to understanding brain functions, neurodevelopment, and neurodegeneration.
- Brain functions arise from complex interactions between neurons, synapses, and glia.
- Perturbations can lead to novel, often detrimental, emergent behaviors.
Purpose of the Study:
- To develop a practical framework for assessing emergent behaviors in neural systems.
- To identify novelty as a key condition for emergence and explore its origins.
- To provide guiding principles for experimental and model design in neuroscience.
Main Methods:
- Distilling theoretical approaches to emergence into a practical framework.
- Focusing on 'novelty' as a necessary condition for emergence.
- Applying the framework to neuroscience contexts, including epilepsy.
Main Results:
- A framework for assessing system behavior based on novelty was developed.
- Different forms of novelty in neuroscience were identified and exemplified.
- The framework was applied to understand the emergent behavior in epilepsy.
Conclusions:
- A novel framework aids in understanding emergent behaviors in neural systems.
- Recognizing system-dependent interaction differences is crucial for accurate modeling.
- Guiding principles are provided for future research on emergent neural phenomena.

