View-Based Matching Can Be More than Image Matching: The Importance of considering an Animal's Perspective

Abstract

Using vision for navigation is important for many animals and a common debate is the extent to which spatial performance can be explained by “simple” view-based matching strategies. We discuss, in the context of recent work, how confusion between image-matching algorithms and the broader class of view-based navigation strategies, is hindering the debate around the use of vision in spatial cognition. A proper consideration of view-based matching strategies requires an understanding of the visual information available to a given animal within a particular experiment.