
Exploring Learning and Reward Processing with Virtual Reality in Mice
Recording brain activity during unconstrained natural behavior would be ideal to avoid experimental bias. However, this comes with several challenges. Natural behavior is rich and varied, involving multiple sensory stimuli and complex movement patterns. At the same time, this complexity can introduce variability in the data and provides limited control over sensory inputs and behavioral variables. Virtual reality has therefore appeared as an experimental alternative to fully unconstrained behavioral paradigms, offering behaviorally relevant environments while allowing stricter control over experimental variables.















