Results 11 to 20 of about 818,302 (255)
The self-organization of grid cells in 3D
Do we expect periodic grid cells to emerge in bats, or perhaps dolphins, exploring a three-dimensional environment? How long will it take? Our self-organizing model, based on ring-rate adaptation, points at a complex answer.
Federico Stella, Alessandro Treves
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Probabilistic Learning by Rodent Grid Cells. [PDF]
Mounting evidence shows mammalian brains are probabilistic computers, but the specific cells involved remain elusive. Parallel research suggests that grid cells of the mammalian hippocampal formation are fundamental to spatial cognition but their diverse
Allen Cheung
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IntroductionVisual-spatial perception is a process for extracting the spatial relationship between objects in the environment. The changes in visual-spatial perception due to factors such as the activity of the sympathetic nervous system (hyperactivation)
Pratik Purohit +3 more
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Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building
Neuroscience research shows that, by relying on internal spatial representations provided by the hippocampus and entorhinal cortex, mammals are able to build topological maps of environments and navigate.
Jiru Wang, Rui Yan, Huajin Tang
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Place Cells, Grid Cells, and Memory [PDF]
The hippocampal system is critical for storage and retrieval of declarative memories, including memories for locations and events that take place at those locations. Spatial memories place high demands on capacity. Memories must be distinct to be recalled without interference and encoding must be fast.
Moser, May-Britt +2 more
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Vpliv velikosti mrežne celice in metod interpolacij na izračunano prostornino ( = Impact of the grid cell size and interpolation methods on earthwork volume calculation) [PDF]
Technologies of massive spatial data acquisition from air, compared to a classical terrain measurement, enables an acquisition of large amounts of data in shorter time and with comparable quality.
Tilen Urbančič +2 more
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Improved Visual Recognition Memory Model Based on Grid Cells for Face Recognition
Traditional facial recognition methods depend on a large number of training samples due to the massive turning of synaptic weights for low-level feature extractions.
Jie Liu +3 more
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Computational Models of Grid Cells [PDF]
Grid cells are space-modulated neurons with periodic firing fields. In moving animals, the multiple firing fields of an individual grid cell form a triangular pattern tiling the entire space available to the animal. Collectively, grid cells are thought to provide a context-independent metric representation of the local environment.
Giocomo, Lisa M. +2 more
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Home, head direction stability, and grid cell distortion
Juan Ignacio Sanguinetti-Scheck +1 more
exaly +2 more sources
Grid cells play a principal role in enabling mammalian cognitive representations of ambient environments. The key property of these cells—the regular arrangement of their firing fields—is commonly viewed as means for establishing spatial scales or encoding specific locations.
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