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The Journal of Neuroscience, April 19, 2006, 26(16):4266-4276; doi:10.1523/JNEUROSCI.4353-05.2006
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Behavioral/Systems/Cognitive
A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex
Mark C. Fuhs and
David S. Touretzky
Computer Science Department and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
Correspondence should be addressed to David S. Touretzky, Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213. Email: dst{at}cs.cmu.edu
Electrophysiological recording studies in the dorsocaudal region of medial entorhinal cortex (dMEC) of the rat reveal cells whose spatial firing fields show a remarkably regular hexagonal grid pattern (Fyhn et al., 2004; Hafting et al., 2005). We describe a symmetric, locally connected neural network, or spin glass model, that spontaneously produces a hexagonal grid of activity bumps on a two-dimensional sheet of units. The spatial firing fields of the simulated cells closely resemble those of dMEC cells. A collection of grids with different scales and/or orientations forms a basis set for encoding position. Simulations show that the animals location can easily be determined from the population activity pattern. Introducing an asymmetry in the model allows the activity bumps to be shifted in any direction, at a rate proportional to velocity, to achieve path integration. Furthermore, information about the structure of the environment can be superimposed on the spatial position signal by modulation of the bump activity levels without significantly interfering with the hexagonal periodicity of firing fields. Our results support the conjecture of Hafting et al. (2005) that an attractor network in dMEC may be the source of path integration information afferent to hippocampus.
Key words: hippocampus; head direction; path integration; entorhinal cortex; place cells; navigation
Received Oct. 12, 2005;
revised March 14, 2006;
accepted March 14, 2006.
Correspondence should be addressed to David S. Touretzky, Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213. Email: dst{at}cs.cmu.edu
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