Abstract

Some theories of spatial learning predict that associative rules apply under only limited circumstances. For example, learning based on a boundary has been claimed to be immune to cue competition effects because boundary information is the basis for the formation of a cognitive map, whilst landmark learning does not involve cognitive mapping. This is referred to as the cue type hypothesis. However, it has also been claimed that cue stability is a prerequisite for the formation of a cognitive map, meaning that whichever cue type was perceived as stable would enter a cognitive map and thus be immune to cue competition, while unstable cues will be subject to cue competition, regardless of cue type. In experiments 1 and 2 we manipulated the stability of boundary and landmark cues when learning the location of two hidden goals. One goal location was constant with respect to the boundary, and the other constant with respect to the landmark cues. For both cue types, the presence of distal orientation cues provided directional information. For half the participants the landmark cues were unstable relative to the boundary and orientation cues, whereas for the remainder of the participants the boundary was unstable relative to landmarks and orientation cues. In a second stage of training, all cues remained stable so that both goal locations could be learned with respect to both landmark and boundary information. According to the cue type hypothesis, boundary information should block learning about landmarks regardless of cue stability. According to the cue stability hypothesis, however, landmarks should block learning about the boundary when the landmarks appear stable relative to the boundary. Regardless of cue type or stability the results showed reciprocal blocking, contrary to both formulations of incidental cognitive mapping. Experiment 3 established that the results of Experiments 1 and 2 could not be explained in terms of difficulty in learning certain locations with respect to different cue types. In a final experiment, following training in which both landmarks and boundary cues signalled two goal locations, a new goal location was established with respect to the landmark cues, before testing with the boundary, which had never been used to define the new goal location. The results of this novel test of the interaction between boundary and landmark cues indicated that new learning with respect to the landmark had a profound effect on navigation with respect to the boundary, counter to the predictions of incidental cognitive mapping of boundaries.

Highlights

  • An appealing hypothesis for how humans and non-human animals navigate is that they encode a map of their environment, in which the locations of important places and environmental cues are represented

  • Despite the change in design, aimed at ensuring par­ ticipants had to use a configuration of proximal and orientation cues to locate the goal, the results did not reveal an immunity to cue competition for either the boundary cues or the stable cues

  • Despite observing this reciprocal blocking effect, our analysis did reveal that the magnitude of the blocking effect of landmarks by boundaries was greater than the blocking effect that was observed for boundaries by landmarks, regardless of the stability of the cue

Read more

Summary

Introduction

An appealing hypothesis for how humans and non-human animals navigate is that they encode a map of their environment, in which the locations of important places and environmental cues are represented. A parallel, non-hippocampal formation system, is responsible for learning about explicit sensory cues (McGregor, Hayward, Pearce, & Good, 2004; Morris, Garrud, Rawlins, & O’Keefe, 1982) or routes through the environment based on a sequence of stimulus-response associations (Packard & McGaugh, 1996). This taxon system is thought to be less flexible than the cognitive map, meaning that taxon-based navigation is fixed and rather rigid. Building on the finding that cells responsible for the develop­ ment of a cognitive map are sensitive to the geometric properties of the environment, Doeller et al (2008) used fMRI to show that learning object locations relative to a circular boundary activated the hippo­ campus, but that learning object locations relative to a landmark acti­ vated the dorsal striatum

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call