Integration of grid maps in merged environments

Natural environments are represented by local maps of grid cells and place cells that are stitched together. The manner by which transitions between map fragments are generated is unknown. We recorded grid cells while rats were trained in two rectangular compartments, A and B (each 1 m × 2 m), separated by a wall. Once distinct grid maps were established in each environment, we removed the partition and allowed the rat to explore the merged environment (2 m × 2 m). The grid patterns were largely retained along the distal walls of the box. Nearer the former partition line, individual grid fields changed location, resulting almost immediately in local spatial periodicity and continuity between the two original maps. Grid cells belonging to the same grid module retained phase relationships during the transformation. Thus, when environments are merged, grid fields reorganize rapidly to establish spatial periodicity in the area where the environments meet.The authors investigate grid cell dynamics after removal of a border between two environments. Near the transition between environments, grid fields changed location, resulting in local spatial periodicity and continuity between the original maps.

[1]  Yoram Burakyy,et al.  Accurate Path Integration in Continuous Attractor Network Models of Grid Cells , 2009 .

[2]  E. Tolman Cognitive maps in rats and men. , 1948, Psychological review.

[3]  Luc Vincent,et al.  Morphological grayscale reconstruction in image analysis: applications and efficient algorithms , 1993, IEEE Trans. Image Process..

[4]  Edvard I Moser,et al.  Development of the Spatial Representation System in the Rat , 2010, Science.

[5]  Jonathan D. Cohen,et al.  Conjunctive Representation of Position, Direction, and Velocity in Entorhinal Cortex , 2006 .

[6]  Mark C. Fuhs,et al.  A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex , 2006, The Journal of Neuroscience.

[7]  K. Jeffery,et al.  Grid Cells Form a Global Representation of Connected Environments , 2015, Current Biology.

[8]  Alessandro Treves,et al.  A model for the differentiation between grid and conjunctive units in medial entorhinal cortex , 2013, Hippocampus.

[9]  Jadin C. Jackson,et al.  Quantitative measures of cluster quality for use in extracellular recordings , 2005, Neuroscience.

[10]  Bruce L. McNaughton,et al.  Path integration and the neural basis of the 'cognitive map' , 2006, Nature Reviews Neuroscience.

[11]  C. Barry,et al.  Specific evidence of low-dimensional continuous attractor dynamics in grid cells , 2013, Nature Neuroscience.

[12]  Edvard I. Moser,et al.  Speed cells in the medial entorhinal cortex , 2015, Nature.

[13]  A. Treves,et al.  Hippocampal remapping and grid realignment in entorhinal cortex , 2007, Nature.

[14]  B. McNaughton,et al.  Spatial Firing Properties of Hippocampal CA1 Populations in an Environment Containing Two Visually Identical Regions , 1998, The Journal of Neuroscience.

[15]  K. Jeffery,et al.  Experience-dependent rescaling of entorhinal grids , 2007, Nature Neuroscience.

[16]  Surya Ganguli,et al.  Environmental Boundaries as an Error Correction Mechanism for Grid Cells , 2015, Neuron.

[17]  T. Hafting,et al.  Microstructure of a spatial map in the entorhinal cortex , 2005, Nature.

[18]  Edvard I. Moser,et al.  Shearing-induced asymmetry in entorhinal grid cells , 2015, Nature.

[19]  Mark P. Brandon,et al.  During Running in Place, Grid Cells Integrate Elapsed Time and Distance Run , 2015, Neuron.

[20]  Caswell Barry,et al.  Grid cell symmetry is shaped by environmental geometry , 2015, Nature.

[21]  M. Moser,et al.  Representation of Geometric Borders in the Entorhinal Cortex , 2008, Science.

[22]  V Paz-Villagrán,et al.  Independent coding of connected environments by place cells , 2004, The European journal of neuroscience.

[23]  Alessandro Treves,et al.  The emergence of grid cells: Intelligent design or just adaptation? , 2008, Hippocampus.

[24]  Benjamin A. Dunn,et al.  Grid cells require excitatory drive from the hippocampus , 2013, Nature Neuroscience.

[25]  May-Britt Moser,et al.  The entorhinal grid map is discretized , 2012, Nature.

[26]  M. Moser,et al.  Optogenetic Dissection of Entorhinal-Hippocampal Functional Connectivity , 2013, Science.

[27]  Alexander Mathis,et al.  Connecting multiple spatial scales to decode the population activity of grid cells , 2015, Science Advances.

[28]  Jonathan R. Whitlock,et al.  Fragmentation of grid cell maps in a multicompartment environment , 2009, Nature Neuroscience.

[29]  T. Bonhoeffer,et al.  Grid cells and cortical representation , 2014, Nature Reviews Neuroscience.

[30]  Hugo J. Spiers,et al.  Place Field Repetition and Purely Local Remapping in a Multicompartment Environment , 2013, Cerebral cortex.

[31]  Yasser Roudi,et al.  Ten Years of Grid Cells. , 2016, Annual review of neuroscience.

[32]  J. Knierim,et al.  Influence of boundary removal on the spatial representations of the medial entorhinal cortex , 2008, Hippocampus.

[33]  Benjamin A. Dunn,et al.  Recurrent inhibitory circuitry as a mechanism for grid formation , 2013, Nature Neuroscience.