Network reconfiguration and neuronal plasticity in rhythm-generating networks.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Neuronal networks display significant plasticity, adapting their structure and function based on internal states.
• This adaptability arises from intrinsic neuronal properties and synaptic plasticity, leading to complex nonlinear network behaviors.
• Neuromodulators and homeostatic mechanisms are crucial for regulating network stability and facilitating adaptation to diverse internal and external changes.

Purpose of the Study:

• To review the mechanisms underlying neuronal network plasticity.
• To illustrate the universality of principles governing neuronal networks and behavior across different species.
• To highlight the role of intrinsic and synaptic properties in network reconfiguration.

Main Methods:

• Review of existing literature on neuronal plasticity.
• Analysis of examples from invertebrate and vertebrate neuronal networks.
• Synthesis of concepts governing network dynamics and behavioral adaptation.

Main Results:

• Neuronal network reconfiguration is state-dependent and influenced by intrinsic and synaptic properties.
• Neuromodulation and homeostatic mechanisms dynamically regulate network function.
• Fundamental principles of neuronal network organization and behavior are conserved across taxa.

Conclusions:

• The plasticity of neuronal networks is a fundamental property enabling adaptation.
• Universal rules govern the behavior and adaptation of neuronal networks, irrespective of the organism.
• Understanding these principles is key to comprehending brain function and behavior.