Results 51 to 60 of about 12,675,276 (305)
Place Cells, Grid Cells, Attractors, and Remapping [PDF]
Place and grid cells are thought to use a mixture of external sensory information and internal attractor dynamics to organize their activity. Attractor dynamics may explain both why neurons react coherently following sufficiently large changes to the environment (discrete attractors) and how firing patterns move smoothly from one representation to the ...
openaire +4 more sources
Hierarchical octree and k-d tree grids for 3D radiative transfer simulations [PDF]
A crucial ingredient for numerically solving the 3D radiative transfer problem is the choice of the grid that discretizes the transfer medium. Many modern radiative transfer codes, whether using Monte Carlo or ray tracing techniques, are equipped with ...
Baes, M., Camps, P., Saftly, W.
core +3 more sources
Ring Attractors as the Basis of a Biomimetic Navigation System
The ability to navigate effectively in a rich and complex world is crucial for the survival of all animals. Specialist neural structures have evolved that are implicated in facilitating this ability, one such structure being the ring attractor network ...
Thomas C. Knowles +3 more
doaj +1 more source
Modeling the Effect of Environmental Geometries on Grid Cell Representations
Grid cells are a special class of spatial cells found in the medial entorhinal cortex (MEC) characterized by their strikingly regular hexagonal firing fields.
Samyukta Jayakumar +5 more
doaj +1 more source
Neural encoding of large-scale three-dimensional space – properties and constraints
How the brain represents represent large-scale, navigable space has been the topic of intensive investigation for several decades, resulting in the discovery that neurons in a complex network of cortical and subcortical brain regions co-operatively ...
Kate J Jeffery +3 more
doaj +1 more source
Scaling gridded river networks for macroscale hydrology: Development, analysis, and control of error [PDF]
A simple and robust river network scaling algorithm (NSA) is presented to rescale fine‐resolution networks to any coarser resolution. The algorithm was tested over the Danube River basin and the European continent.
Fekete, Balazs M. +2 more
core +2 more sources
How to build a grid cell [PDF]
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
Grid cells show field-to-field variability and this explains the aperiodic response of inhibitory interneurons [PDF]
Research on network mechanisms and coding properties of grid cells assume that the firing rate of a grid cell in each of its fields is the same. Furthermore, proposed network models predict spatial regularities in the firing of inhibitory interneurons ...
Benjamin A. Dunn +3 more
semanticscholar +1 more source
Framing the grid: effect of boundaries on grid cells and navigation [PDF]
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
semanticscholar +3 more sources
Grid-Cell Distortion along Geometric Borders [PDF]
Grid cells fire in a triangular pattern that tessellates the environment [1]. The pattern displays a global distortion that is well described by a shearing transformation of an idealized grid [2]. However, in addition, distortions often differ across parts of the environment, suggesting that the grid interacts with the environment locally [2-5].
Martin Hägglund +3 more
openaire +2 more sources

