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Scale Invariance in Lateral Head Scans During Spatial Exploration.

Chetan K Yadav¹, Yoganarasimha Doreswamy¹

¹National Brain Research Centre, NH-8, Manesar, Haryana 122051, India.

Physical Review Letters

|April 29, 2017

Summary

Rodent lateral head scanning (LHS) behavior optimizes sensory information for spatial navigation. This critical point dynamics suggests LHS preprocesses spatial data for neural encoding.

Area of Science:

Behavioral neuroscience
Systems neuroscience
Dynamical systems theory

Background:

Universality principles explain complex phenomena, including neuronal information processing.
The role of universality in behavioral systems, particularly spatial navigation, remains unclear.

Purpose of the Study:

To investigate the significance of universality in behavioral systems.
To explore the potential role of lateral head scanning (LHS) in rodent spatial navigation and information processing.

Main Methods:

Analysis of scale-invariant distributions in LHS dynamics.
Examination of LHS lifetimes, interevent intervals, and event magnitudes.

Main Results:

Demonstrated scale-invariant distributions in LHS lifetimes, interevent intervals, and event magnitudes.

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Provided evidence for optimization occurring at a critical point in LHS dynamics.

Conclusions:

LHS behavior in rodents exhibits characteristics of critical point dynamics, suggesting an optimization process.
LHS is proposed to be crucial for preprocessing spatial information, enabling robust neural encoding for navigation.