Figures and Tables

From the following article:

Path integration and the neural basis of the 'cognitive map'

Bruce L. McNaughton, Francesco P. Battaglia, Ole Jensen, Edvard I Moser and May-Britt Moser

Nature Reviews Neuroscience 7, 663-678 (August 2006)

doi:10.1038/nrn1932

Figure 1 - Path integration and the neural basis of the 'cognitive map'

Figure 1

One-dimensional attractor map model for head direction encoding based on neural integration of head angular velocity signals.

Figure 2 - Path integration and the neural basis of the 'cognitive map'

Figure 2

Extension of the one-dimensional attractor map concept to two dimensions: a model for path integration.

Figure 3 - Path integration and the neural basis of the 'cognitive map'

Figure 3

Solving the boundary problem for the path integration network.

Figure 4 - Path integration and the neural basis of the 'cognitive map'

Figure 4

Grid cells in the medial entorhinal cortex.

Figure 5 - Path integration and the neural basis of the 'cognitive map'

Figure 5

Changing the gain of the self-motion signal changes the scale of the spatial representation.

Figure 6 - Path integration and the neural basis of the 'cognitive map'

Figure 6

Combining multiple periodic grids at different spatial scales can result in non-periodic place fields.

Figure 7 - Path integration and the neural basis of the 'cognitive map'

Figure 7

Symmetry breaking and the emergence of a grid-like firing pattern.

Figure 8 - Path integration and the neural basis of the 'cognitive map'

Figure 8

Developmental model for an anatomically non-topographic MEC path integrator.