Results 21 to 30 of about 756,985 (253)

Grid cells and cortical representation [PDF]

open access: yesNature Reviews Neuroscience, 2014
One of the grand challenges in neuroscience is to comprehend neural computation in the association cortices, the parts of the cortex that have shown the largest expansion and differentiation during mammalian evolution and that are thought to contribute profoundly to the emergence of advanced cognition in humans. In this Review, we use grid cells in the
Edvard I. Moser   +5 more
openaire   +4 more sources

Non-rhythmic head-direction cells in the parahippocampal region are not constrained by attractor network dynamics

open access: yeseLife, 2018
Computational models postulate that head-direction (HD) cells are part of an attractor network integrating head turns. This network requires inputs from visual landmarks to anchor the HD signal to the external world.
Olga Kornienko   +4 more
doaj   +1 more source

How to build a grid cell [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2014
Neurons in the medial entorhinal cortex fire action potentials at regular spatial intervals, creating a striking grid-like pattern of spike rates spanning the whole environment of a navigating animal. This remarkable spatial code may represent a neural map for path integration.
C. Schmidt-Hieber, M. Hausser
openaire   +3 more sources

Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor

open access: yeseLife, 2019
Grid cells in the medial entorhinal cortex (MEC) encode position using a distributed representation across multiple neural populations (modules), each possessing a distinct spatial scale.
Noga Mosheiff, Yoram Burak
doaj   +1 more source

Robust and efficient coding with grid cells. [PDF]

open access: yesPLoS Comput Biol, 2018
Abstract The neuronal code arising from the coordinated population activity of grid cells in the rodent entorhinal cortex can uniquely represent space across large distances but the precise conditions for efficient coding are unknown. Here we present a number-theoretic analysis of grid coding and derive an upper bound on the distance ...
Vágó L, Ujfalussy BB.
europepmc   +5 more sources

Recurrent amplification of grid‐cell activity [PDF]

open access: yesHippocampus, 2020
AbstractHigh‐level cognitive abilities such as navigation and spatial memory are thought to rely on the activity of grid cells in the medial entorhinal cortex (MEC), which encode the animal's position in space with periodic triangular patterns. Yet the neural mechanisms that underlie grid‐cell activity are still unknown.
Tiziano D'Albis, Richard Kempter
openaire   +3 more sources

Spatialization of Time in the Entorhinal-Hippocampal System

open access: yesFrontiers in Behavioral Neuroscience, 2022
The functional role of the entorhinal-hippocampal system has been a long withstanding mystery. One key theory that has become most popular is that the entorhinal-hippocampal system represents space to facilitate navigation in one’s surroundings.
Troy M. Houser
doaj   +1 more source

Does the Entorhinal Cortex use the Fourier Transform?

open access: yesFrontiers in Computational Neuroscience, 2013
Some neurons in the entorhinal cortex (EC) fire bursts when the animal occupies locations organized in a hexagonal grid pattern in their spatial environment.
Jeff eOrchard, Hao eYang, Xiang eJi
doaj   +1 more source

Framing the grid: effect of boundaries on grid cells and navigation [PDF]

open access: yesThe Journal of Physiology, 2016
AbstractCells in the mammalian hippocampal formation subserve neuronal representations of environmental location and support navigation in familiar environments. Grid cells constitute one of the main cell types in the hippocampal formation and are widely believed to represent a universal metric of space independent of external stimuli.
Julija, Krupic   +3 more
openaire   +2 more sources

A Spatial Location Representation Method Incorporating Boundary Information

open access: yesApplied Sciences, 2023
In response to problems concerning the low autonomous localization accuracy of mobile robots in unknown environments and large cumulative errors due to long time running, a spatial location representation method incorporating boundary information (SLRB ...
Hui Jiang, Yukun Zhang
doaj   +1 more source

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