Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Neural activity in the mouse primary visual cortex (V1) layer 2/3 is influenced by both visual stimuli and locomotion.
• This activity is modulated by discrepancies between perceived visual flow and locomotion-based predictions.

Purpose of the Study:

• To present a computational model explaining layer 2/3 neuronal recordings in mice.
• To elucidate the neural encoding of visual flow prediction errors.
• To propose a general mechanism for neural computation in population codes.

Main Methods:

• Development of a simple computational model for V1 layer 2/3.
• Modeling of neural population codes for encoding velocity differences.
• Hypothesizing a neural mechanism for computation within population codes.

Main Results:

• The model successfully explains previously reported layer 2/3 neuronal activity.
• Layer 2/3 neurons are proposed to encode the velocity difference between visual flow estimates and locomotion predictions.
• A mechanism for computing variables represented by population codes is described.

Conclusions:

• The model provides a framework for understanding sensory-motor integration in V1.
• The proposed computational mechanism may represent a general principle for brain function.
• This work offers insights into how the brain processes predictive coding and motion information.