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Figure 1 | BMC Neuroscience

Figure 1

From: Cross-talk and transitions between multiple environments in an attractor neural network model of the hippocampus

Figure 1

Properties of the model (1D-space with w = 0.05, 10% of active neurons). A. Sketch of the phase diagram. For moderate T and L the network activity is spatially localized in one of the stored maps and encode a specific location in space. For high T (strong noise) or high L (strong map interference) the activity profile spreads over the whole space, either uniformly or with rough, interference-induced ripples. B. Transitions between two stored maps (symbolized with blue and red colors) during a Monte Carlo simulation with N = 1000 neurons ; values of T and L correspond to the green spot in panel A. Insets : place-cell activity vs. place-field center locations in blue and red maps, for two instants indicated by the arrows.

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