Scale invariance in the dynamics of spontaneous behavior

Area of Science:

• Neuroscience
• Complex Systems
• Behavioral Biology

Background:

• Behavioral timing typically follows a characteristic time scale.
• However, diverse behaviors exhibit complex, self-similar temporal patterns across multiple scales.
• This scale invariance is observed in human and animal behaviors.

Purpose of the Study:

• To present a general framework for understanding scale invariance in nonequilibrium systems, particularly mammalian behaviors.
• To demonstrate agreement between the framework's predictions and empirical observations of mouse behavior.
• To explain the neural basis for scale-invariant behavioral dynamics.

Main Methods:

• Developed a general framework for scale invariance in nonequilibrium systems.
• Analyzed spontaneous mouse behavior in a controlled environment.
• Employed analytical methods to show scale-invariant dynamics from timescale separation in neural systems.

Main Results:

• Framework predictions align with observed spontaneous mouse behavior.
• Scale-invariant dynamics emerge from the separation of timescales within neural systems.
• Resource distribution or task competition are not essential for scale-free dynamics.

Conclusions:

• Scale invariance in behavioral dynamics is an intrinsic property of neural processes.
• No fine-tuning of parameters or specific constraints are needed for scale-free dynamics.
• The brain's intrinsic dynamics can generate the observed complex temporal patterns in behavior.