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From grids to places

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Abstract

Hafting et al. (2005) described grid cells in the dorsocaudal region of the medial entorhinal cortex (dMEC). These cells show a strikingly regular grid-like firing-pattern as a function of the position of a rat in an enclosure. Since the dMEC projects to the hippocampal areas containing the well-known place cells, the question arises whether and how the localized responses of the latter can emerge based on the output of grid cells. Here, we show that, starting with simulated grid-cells, a simple linear transformation maximizing sparseness leads to a localized representation similar to place fields.

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References

  • Blaschke T, Wiskott L (2004) CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization. IEEE Trans. Signal Process. 52(5): 1250–1256.

    Article  Google Scholar 

  • Hafting T, Fyhn M, Molden S, Moser M, Moser EI (2005) Mi-crostructure of a spatial map in the entorhinal cortex. Nature 436(7052):801– 806. 10.1038/nature03721.

    Article  PubMed  CAS  Google Scholar 

  • Hyvärinen A (1999a) Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10: 626–634.

    Article  Google Scholar 

  • Hyvärinen A (1999b) Survey on independent component analysis. Neural Comput. Surv. 2: 94–128.

    Google Scholar 

  • McNaughton B, Battaglia F, Jensen O, Moser E, Moser M (2006) Path integration and the neural basis of the ‘cognitive map’. Nat. Rev. Neurosci. 7: 663–678.

    Article  PubMed  CAS  Google Scholar 

  • Muller R (1996) A quarter century of place cells. Neuron 17:813–822.

    Article  PubMed  CAS  Google Scholar 

  • O’Reilly RC, McClelland JL (1994) Hippocampal conjunctive encoding, storage, and recall: avoiding a trade-off. Hippocampus 4(6): 661–682.

    Article  PubMed  CAS  Google Scholar 

  • Wiskott L, Sejnowski T (2002) Slow feature analysis: Unsupervised learning of invariances. Neural Comput. 14(4): 715–770.

    Article  PubMed  Google Scholar 

  • Wyss R, König P, Verschure P (2006) A model of the ventral visual system based on temporal stability and local memory. PLOS Biol. 4(5): e120.

    Article  PubMed  Google Scholar 

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Correspondence to M. Franzius.

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Action Editor: Alessandro Treves

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Franzius, M., Vollgraf, R. & Wiskott, L. From grids to places. J Comput Neurosci 22, 297–299 (2007). https://doi.org/10.1007/s10827-006-0013-7

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  • DOI: https://doi.org/10.1007/s10827-006-0013-7

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