Decoding the view expectation during learned maze navigation from human fronto-parietal network.

Area of Science:

• Neuroscience
• Cognitive Science
• Spatial Navigation

Background:

• Spatial navigation relies on integrating external environmental cues with internal prior knowledge.
• View expectation, the anticipation of upcoming scenes, is crucial for aligning perceptions with a cognitive map.
• Understanding the neural mechanisms of view expectation during navigation is a key challenge in cognitive neuroscience.

Purpose of the Study:

• To investigate how the brain generates view expectation during spatial navigation.
• To identify the brain regions involved in processing view expectation and external cues.
• To determine if view expectation is represented subjectively in the brain.

Main Methods:

• Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
• A multiple parallel decoding technique was applied to fMRI data.
• Participants performed scene choice tasks within learned maze environments.

Main Results:

• View expectation was successfully decoded from fMRI signals in the parietal and medial prefrontal cortices.
• Activity patterns in the occipital cortex correlated with external environmental cues.
• Decoded expectations reflected participants' subjective beliefs, even when inaccurate.

Conclusions:

• View expectation is subjectively represented in the human brain.
• The fronto-parietal network plays a critical role in integrating external cues and prior knowledge for spatial navigation.
• This study provides insights into the neural basis of cognitive mapping and expectation formation.