Map of spiking activity underlying change detection in the mouse visual system

Area of Science:

• Neuroscience
• Computational Neuroscience

Background:

• Understanding complex brain functions requires large-scale, dense neural recordings.
• The mouse visual system, including thalamus, cortex, and midbrain, is crucial for visual behavior.

Purpose of the Study:

• To create a comprehensive database of spiking activity across the mouse visual system.
• To map area-, cortical layer-, and cell type-specific coding during an image change detection task.

Main Methods:

• Utilized Neuropixels probes to record from over 75,000 neural units in 54 mice.
• Collected data while mice performed an image change detection task.
• Employed population decoding and optogenetics to analyze neural activity and identify strategies.

Main Results:

• Task-engagement modulation increased hierarchically, strongest in the midbrain.
• Novel images elicited delayed recurrent activity in the cortex, but not the thalamus.
• Identified a critical decision window and revealed an adaptation-based, not image-comparison, strategy for change detection.

Conclusions:

• The developed database is a valuable resource for studying sensorimotor computations.
• Provides insights into hierarchical processing and neural strategies in the visual system.
• Highlights the role of specific brain regions in processing visual information and decision-making.