Models of place and grid cell firing and theta rhythmicity

被引:133
作者
Burgess, Neil [1 ,2 ]
O'Keefe, John [3 ,4 ]
机构
[1] UCL Inst Cognit Neurosci, London WC1N 3AR, England
[2] UCL Inst Neurol, London WC1N 3BG, England
[3] UCL, Dept Cell & Dev Biol, London WC1E 6BT, England
[4] UCL, Sainsbury Wellcome Ctr Neural Circuits & Behav, London WC1E 6BT, England
基金
英国医学研究理事会; 英国惠康基金;
关键词
HIPPOCAMPAL PYRAMIDAL CELLS; PHASE-PRECESSION; PATH-INTEGRATION; ENTORHINAL CORTEX; CONTROLLED OSCILLATORS; HEAD-DIRECTION; NETWORK MODEL; TEMPORAL CODE; COGNITIVE MAP; RAT;
D O I
10.1016/j.conb.2011.07.002
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neuronal firing in the hippocampal formation (HF) of freely moving rodents shows striking examples of spatialorganization in the form of place, directional, boundary vector and grid cells. The firing of place and grid cells shows an intriguing form of temporal organization known as 'theta phase precession'. We review the mechanisms underlying theta phase precession of place cell firing, ranging from membrane potential oscillations to recurrent connectivity, and the relevant intra-cellular and extra-cellular data. We then consider the use of these models to explain the spatial structure of grid cell firing, and review the relevant intra-cellular and extra-cellular data. Finally, we consider the likely interaction between place cells, grid cells and boundary vector cells in estimating self-location as a compromise between path-integration and environmental information.
引用
收藏
页码:734 / 744
页数:11
相关论文
共 71 条
[1]  
[Anonymous], 1993, Advances in Neural Information Processing Systems
[2]   Experience-dependent rescaling of entorhinal grids [J].
Barry, Caswell ;
Hayman, Robin ;
Burgess, Neil ;
Jeffery, Kathryn J. .
NATURE NEUROSCIENCE, 2007, 10 (06) :682-684
[3]   Conversion of a Phase- to a Rate-Coded Position Signal by a Three-Stage Model of Theta Cells, Grid Cells, and Place Cells [J].
Blair, Hugh T. ;
Gupta, Kishan ;
Zhang, Kechen .
HIPPOCAMPUS, 2008, 18 (12) :1239-1255
[4]   Reduction of Theta Rhythm Dissociates Grid Cell Spatial Periodicity from Directional Tuning [J].
Brandon, Mark P. ;
Bogaard, Andrew R. ;
Libby, Christopher P. ;
Connerney, Michael A. ;
Gupta, Kishan ;
Hasselmo, Michael E. .
SCIENCE, 2011, 332 (6029) :595-599
[5]   Accurate Path Integration in Continuous Attractor Network Models of Grid Cells [J].
Burak, Yoram ;
Fiete, Ila R. .
PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (02)
[6]   A MODEL OF HIPPOCAMPAL FUNCTION [J].
BURGESS, N ;
RECCE, M ;
OKEEFE, J .
NEURAL NETWORKS, 1994, 7 (6-7) :1065-1081
[7]   Predictions derived from modelling the hippocampal role in navigation [J].
Burgess, N ;
Jackson, A ;
Hartley, T ;
O'Keefe, J .
BIOLOGICAL CYBERNETICS, 2000, 83 (03) :301-312
[8]  
Burgess N., 2005, COMPUTATIONAL COGNIT
[9]   An oscillatory interference model of grid cell firing [J].
Burgess, Neil ;
Barry, Caswell ;
O'Keefe, John .
HIPPOCAMPUS, 2007, 17 (09) :801-812
[10]   Grid Cells and Theta as Oscillatory Interference: Theory and Predictions [J].
Burgess, Neil .
HIPPOCAMPUS, 2008, 18 (12) :1157-1174