Results 21 to 30 of about 818,302 (255)

Network mechanisms of grid cells [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2014
One of the major breakthroughs in neuroscience is the emerging understanding of how signals from the external environment are extracted and represented in the primary sensory cortices of the mammalian brain. The operational principles of the rest of the cortex, however, have essentially remained in the dark.
Moser, E. I., Moser, M.-B., Roudi, Y.
openaire   +3 more sources

Enhanced Clustering and Indoor Movement Path Generation from Wi-Fi Fingerprint Data Using Bounding Boxes and Grid Cells

open access: yesApplied Sciences, 2023
Recently, various application fields utilizing Wi-Fi fingerprint data have been under research. However, fingerprint data collected from a specific location does not include relevant information, such as continuity.
Hong-Gi Shin   +3 more
doaj   +1 more source

Brain-Inspired Navigation Model Based on the Distribution of Polarized Sky-Light

open access: yesMachines, 2022
This paper proposes a brain-inspired navigation model based on absolute heading for the autonomous navigation of unmanned platforms. The proposed model combined the sand ant’s strategy of acquiring absolute heading from the sky environment and the brain ...
Jinshan Li   +3 more
doaj   +1 more source

Are Grid-Like Representations a Component of All Perception and Cognition?

open access: yesFrontiers in Neural Circuits, 2022
Grid cells or grid-like responses have been reported in the rodent, bat and human brains during various spatial and non-spatial tasks. However, the functions of grid-like representations beyond the classical hippocampal formation remain elusive. Based on
Zhe Sage Chen   +3 more
doaj   +1 more source

A Plane-Dependent Model of 3D Grid Cells for Representing Both 2D and 3D Spaces Under Various Navigation Modes

open access: yesFrontiers in Computational Neuroscience, 2021
Grid cells are crucial in path integration and representation of the external world. The spikes of grid cells spatially form clusters called grid fields, which encode important information about allocentric positions.
Ziyi Gong, Ziyi Gong, Fangwen Yu
doaj   +1 more source

Grid cells' need for speed [PDF]

open access: yesNature Neuroscience, 2016
Grid-firing fields of neurons in the entorhinal cortex are thought to require inputs encoding running speed. Glutamatergic projections from the medial septum may be one of the inputs that provide these speed signals.
Alfredo Gonzalez-Sulser, Matthew F Nolan
openaire   +3 more sources

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

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

Trip Generation Prediction Based on the Convolutional Neural Network-Multidimensional Long-Short Term Memory Neural Network Model at Grid Cell Scale

open access: yesIEEE Access, 2021
The prediction of trip generation is an essential problem for effective traffic engineering and urban management. Traditional methods are on the large spatial scale (e.g. Traffic analysis Zone, TAZ), based on the single source and fewer types data. It is
Tianzheng Xiao   +3 more
doaj   +1 more source

Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis

open access: yeseLife, 2016
Many recent models study the downstream projection from grid cells to place cells, while recent data have pointed out the importance of the feedback projection. We thus asked how grid cells are affected by the nature of the input from the place cells. We
Yedidyah Dordek   +3 more
doaj   +1 more source

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