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Certain types of neurons, called "grid cells", have been shown to fire on a triangular grid when an animal is navigating on a two-dimensional environment, whereas recent studies suggest that the face-centred-cubic (FCC) lattice is the good…

最优化与控制 · 数学 2021-06-03 Laurent Bétermin

Grid cells in the brain respond when an animal occupies a periodic lattice of "grid fields" during spatial navigation. The grid scale varies along the dorso-ventral axis of the entorhinal cortex. We propose that the grid system minimizes…

神经元与认知 · 定量生物学 2018-05-14 Xue-Xin Wei , Jason Prentice , Vijay Balasubramanian

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…

神经元与认知 · 定量生物学 2022-08-30 Yuri Dabaghian

Grid cells in the entorhinal cortex encode the position of an animal in its environment using spatially periodic tuning curves of varying periodicity. Recent experiments established that these cells are functionally organized in discrete…

神经元与认知 · 定量生物学 2016-01-13 Noga Weiss Mosheiff , Haggai Agmon , Avraham Moriel , Yoram Burak

One fascinating aspect of the brain is its ability to process information in a fast and reliable manner. The functional architecture is thought to play a central role in this task, by encoding efficiently complex stimuli and facilitating…

神经元与认知 · 定量生物学 2016-02-17 Alberto Romagnoni , Jérôme Ribot , Daniel Bennequin , Jonathan D. Touboul

Place cells in the hippocampus are active when an animal visits a certain location (referred to as a place field) within an environment. Grid cells in the medial entorhinal cortex (MEC) respond at multiple locations, with firing fields that…

神经元与认知 · 定量生物学 2018-05-17 David M. Schwartz , O. Ozan Koyluoglu

Grid cells in the entorhinal cortex fire when animals that are exploring a certain region of space occupy the vertices of a triangular grid that spans the environment. Different neurons feature triangular grids that differ in their…

神经元与认知 · 定量生物学 2017-01-04 Alessandro Sanzeni , Vijay Balasubramanian , Guido Tiana , Massimo Vergassola

To afford flexible behaviour, the brain must build internal representations that mirror the structure of variables in the external world. For example, 2D space obeys rules: the same set of actions combine in the same way everywhere (step…

神经元与认知 · 定量生物学 2025-03-04 William Dorrell , Peter E. Latham , Timothy E. J. Behrens , James C. R. Whittington

Brain-computer interfaces surged extraordinary developments in recent years, and a significant discrepancy now exists between the abundance of available data and the limited headway made in achieving a unified theoretical framework. This…

The proposed analysis of the currently available experimental results concerning the neural cell activity in the brain area known as hippocampus suggests a particular mechanism of spatial information and memory processing. Below it is…

其他定量生物学 · 定量生物学 2007-05-23 Yu. Dabaghian , A. G. Cohn , L. Frank

The spiking activity of principal cells in mammalian hippocampus encodes an internalized neuronal representation of the ambient space---a cognitive map. Once learned, such a map enables the animal to navigate a given environment for a long…

神经元与认知 · 定量生物学 2017-10-10 Andrey Babichev , Dmitriy Morozov , Yuri Dabaghian

Grid cells are believed to play an important role in both spatial and non-spatial cognition tasks. A recent study observed the emergence of grid cells in an LSTM for path integration. The connection between biological and artificial neural…

神经元与认知 · 定量生物学 2020-09-10 Li Songlin , Deng Yangdong , Wang Zhihua

Mammalian hippocampus plays a key role in spatial learning and memory, but the exact nature of the hippocampal representation of space is still being explored. Recently, there has been a fair amount of success in modeling hippocampal…

神经元与认知 · 定量生物学 2016-01-19 Kentaro Hoffman , Andrey Babichev , Yuri Dabaghian

Animals build Bayesian 3D models of their surroundings, to control their movements. There is strong selection pressure to make these models as precise as possible, given their sense data. A previous paper has described how a precise 3D…

神经元与认知 · 定量生物学 2024-05-17 Robert Worden

Grid cells in the entorhinal cortex, together with head direction, place, speed and border cells, are major contributors to the organization of spatial representations in the brain. In this work we introduce a novel theoretical and…

神经元与认知 · 定量生物学 2019-07-25 Fabio Anselmi , Micah M. Murray , Benedetta Franceschiello

Many questions in neuroscience involve understanding of the responses of large populations of neurons. However, when dealing with large-scale neural activity, interpretation becomes difficult, and comparisons between two animals, or across…

神经元与认知 · 定量生物学 2022-05-18 Max Dabagia , Konrad P Kording , Eva L Dyer

Grid cells, discovered more than a decade ago [5], are neurons in the brain of mammals that fire when the animal is located near certain specific points in its familiar terrain. Intriguingly, these points form, for a single cell, a…

神经元与认知 · 定量生物学 2016-06-16 Christos H. Papadimitriou

This paper investigates whether the hexagonal structure of grid cells provides any performance benefits or if it merely represents a biologically convenient configuration. Utilizing the Vector-HaSH content addressable memory model as a…

神经元与认知 · 定量生物学 2024-10-17 Taahaa Mir , Peipei Yao , Kateri Duranceau , Isabeau Prémont-Schwarz

Place-cell networks, typically forced to pairwise synaptic interactions, are widely studied as models of cognitive maps: such models, however, share a severely limited storage capacity, scaling linearly with network size and with a very…

无序系统与神经网络 · 物理学 2025-11-24 Adriano Barra , Martino S. Centonze , Michela Marra Solazzo , Daniele Tantari

In the mammalian brain, many neuronal ensembles are involved in representing spatial structure of the environment. In particular, there exist cells that encode the animal's location and cells that encode head direction. A number of studies…

神经元与认知 · 定量生物学 2021-08-10 Y. Dabaghian
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