What grid cells convey about rat location

被引:176
作者
Fiete, Ila R. [2 ,3 ]
Burak, Yoram [1 ,2 ,3 ,4 ]
Brookings, Ted [5 ]
机构
[1] CALTECH, Div Biol, Broad Fellows Program Computat & Neural Syst, Pasadena, CA 91125 USA
[2] Univ Calif Santa Barbara, Kavli Inst Theoret Phys, Santa Barbara, CA 93106 USA
[3] Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA
[4] Harvard Univ, Ctr Brain Sci, Swartz Fellows Program, Cambridge, MA 02138 USA
[5] Brandeis Univ, Dept Biol, Volen Ctr, Waltham, MA 02454 USA
关键词
navigation; dMEC; entorhinal; hippocampus; spatial perception; information; path integration; theory;
D O I
10.1523/JNEUROSCI.5684-07.2008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We characterize the relationship between the simultaneously recorded quantities of rodent grid cell firing and the position of the rat. The formalization reveals various properties of grid cell activity when considered as a neural code for representing and updating estimates of the rat's location. We show that, although the spatially periodic response of grid cells appears wasteful, the code is fully combinatorial in capacity. The resulting range for unambiguous position representation is vastly greater than the approximate to 1-10 m periods of individual lattices, allowing for unique high-resolution position specification over the behavioral foraging ranges of rats, with excess capacity that could be used for error correction. Next, we show that the merits of the grid cell code for position representation extend well beyond capacity and include arithmetic properties that facilitate position updating. We conclude by considering the numerous implications, for downstream readouts and experimental tests, of the properties of the grid cell code.
引用
收藏
页码:6858 / 6871
页数:14
相关论文
共 63 条
  • [11] Orientation of human semicircular canals measured by three-dimensional multiplanar CT reconstruction
    Della Santina, CC
    Potyagaylo, V
    Migliaccio, AA
    Minor, LB
    Carey, JP
    [J]. JARO-JOURNAL OF THE ASSOCIATION FOR RESEARCH IN OTOLARYNGOLOGY, 2005, 6 (03): : 191 - 206
  • [12] Imaging large-scale neural activity with cellular resolution in awake, mobile mice
    Dombeck, Daniel A.
    Khabbaz, Anton N.
    Collman, Forrest
    Adelman, Thomas L.
    Tank, David W.
    [J]. NEURON, 2007, 56 (01) : 43 - 57
  • [13] EICHENBAUM H, 1989, J NEUROSCI, V9, P2764
  • [14] Path integration in mammals
    Etienne, AS
    Jeffery, KJ
    [J]. HIPPOCAMPUS, 2004, 14 (02) : 180 - 192
  • [15] A brief view of known landmarks reorientates path integration in hamsters
    Etienne, AS
    Boulens, V
    Maurer, R
    Rowe, T
    Siegrist, C
    [J]. NATURWISSENSCHAFTEN, 2000, 87 (11) : 494 - 498
  • [16] Foldiak P., 2002, The Handbook of Brain Theory and Neural Networks, V2nd, P1064
  • [17] Foster DJ, 2000, HIPPOCAMPUS, V10, P1, DOI 10.1002/(SICI)1098-1063(2000)10:1<1::AID-HIPO1>3.0.CO
  • [18] 2-1
  • [19] From grids to places
    Franzius, M.
    Vollgraf, R.
    Wiskott, L.
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2007, 22 (03) : 297 - 299
  • [20] A spin glass model of path integration in rat medial entorhinal cortex
    Fuhs, MC
    Touretzky, DS
    [J]. JOURNAL OF NEUROSCIENCE, 2006, 26 (16) : 4266 - 4276