scholarly journals Effect of boundaries on grid cell patterns

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Mauro M. Monsalve-Mercado ◽  
Christian Leibold
Keyword(s):  
Grid Cell ◽  
Cell Patterns

scholarly journals A single-cell spiking model for the origin of grid-cell patterns

2017 ◽  
Vol 13 (10) ◽  
pp. e1005782 ◽  
Author(s):  
Tiziano D’Albis ◽  
Richard Kempter
Keyword(s):  
Single Cell ◽  
Grid Cell ◽  
Cell Patterns ◽  
Spiking Model

scholarly journals The effect of boundaries on grid cell patterns

2020 ◽  
Author(s):  
Mauro M. Monsalve-Mercado ◽  
Christian Leibold
Keyword(s):  
Feedback Inhibition ◽  
Physical Space ◽  
Grid Cell ◽  
Field Size ◽  
Grid Cells ◽  
Neuronal Populations ◽  
Cell Patterns ◽  
Biological Substrate ◽  
Efficient Code ◽  
Natural Result

Mammalian grid cells represent spatial locations in the brain via triangular firing patterns that tessellate the environment. They are regarded as the biological substrate for path integration thereby generating an efficient code for space. However, grid cell patterns are strongly influenced by environmental manipulations, in particular exhibiting local geometrical deformations and defects tied to the shape of the recording enclosure, challenging the view that grid cells constitute a universal code for space. We show that the observed responses to environmental manipulations arise as a natural result under the general framework of feedforward models with spatially unstructured feedback inhibition, which puts the development of triangular patterns in the context of a Turing pattern formation process over physical space. The model produces coherent neuronal populations with equal grid spacing, field size, and orientation.PACS numbers87.19.lv,87.10.Ed,02.30.Jr

Modeling bicycle crash costs using big data: A grid-cell-based Tobit model with random parameters

2021 ◽  
Vol 91 ◽  
pp. 102953 ◽  
Author(s):  
Kun Xie ◽  
Kaan Ozbay ◽  
Di Yang ◽  
Chuan Xu ◽  
Hong Yang
Keyword(s):  
Big Data ◽  
Grid Cell ◽  
Tobit Model ◽  
Random Parameters
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