All Relations between representation and grid cell

Reference Sentence Publish Date Extraction Date Species
Paul Stoewer, Achim Schilling, Andreas Maier, Patrick Kraus. Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts. Scientific reports vol 13 issue 1 2023 36871003 the multi-scale successor representation is proposed to be the mathematical principle underlying place and grid cell computations. 2023-03-04 2023-03-06 Not clear
Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Fen. SODAR: Segmenting Objects by Dynamically Aggregating Neighboring Mask Representations. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol PP issue 2021 34936556 unlike the original per grid cell object masks, sodar is implicitly supervised to learn mask representations that encode geometric structure of nearby objects and complement adjacent representations with context. 2021-12-22 2023-01-26 Not clear
Ane Charlotte Christensen, Kristian Kinden Lensj\\xc3\\xb8, Mikkel Elle Lepper\\xc3\\xb8d, Svenn-Arne Dragly, Halvard Sutterud, Jan Sigurd Blackstad, Marianne Fyhn, Torkel Haftin. Perineuronal nets stabilize the grid cell network. Nature communications vol 12 issue 1 2021 33431847 furthermore, in animals with disrupted pnns, exposure to a novel arena corrupted the spatiotemporal relationships within grid cell modules, and the stored representations of a familiar arena. 2021-01-21 2023-01-26 Not clear
Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu S. NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. Neural networks : the official journal of the International Neural Network Society vol 126 issue 2020 32179391 in the model, the pose of the robot is encoded separately by two sub-networks, namely head direction network for angle representation and grid cell network for position representation, using similar neural codes of head direction cells and grid cells observed in mammalian brains. 2020-09-18 2023-01-26 Not clear
Mirko Klukas, Marcus Lewis, Ila Fiet. Efficient and flexible representation of higher-dimensional cognitive variables with grid cells. PLoS computational biology vol 16 issue 4 2020 32343687 our model constructs representations of high-dimensional inputs through a combination of low-dimensional random projections and "classical" low-dimensional hexagonal grid cell responses. 2020-07-17 2023-01-26 rat
Noga Mosheiff, Yoram Bura. Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor. eLife vol 8 issue 2020 31469365 the modular structure of the representation confers the grid cell neural code with large capacity. 2020-01-30 2023-01-26 Not clear
Samyukta Jayakumar, Rukhmani Narayanamurthy, Reshma Ramesh, Karthik Soman, Vignesh Muralidharan, V Srinivasa Chakravarth. Modeling the Effect of Environmental Geometries on Grid Cell Representations. Frontiers in neural circuits vol 12 issue 2019 30692918 modeling the effect of environmental geometries on grid cell representations. 2019-06-03 2023-01-26 Not clear
Richard J Gardner, Li Lu, Tanja Wernle, May-Britt Moser, Edvard I Mose. Correlation structure of grid cells is preserved during sleep. Nature neuroscience vol 22 issue 4 2019 30911185 the mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. 2019-05-21 2023-01-26 Not clear
William Severa, Ojas Parekh, Conrad D James, James B Aimon. A Combinatorial Model for Dentate Gyrus Sparse Coding. Neural computation vol 29 issue 1 2018 27764589 the model provides formal methods for a highly redundant, arbitrarily sparse, and decorrelated output explore the value of this model framework, we assess how suitable it is for two notable aspects of dg coding: how it can handle the highly structured grid cell representation in the input entorhinal cortex region and the presence of adult neurogenesis, which has been proposed to produce a heterogeneous code in the dg. 2018-12-17 2023-01-26 Not clear
A Sanzeni, V Balasubramanian, G Tiana, M Vergassol. Complete coverage of space favors modularity of the grid system in the brain. Physical review. E vol 94 issue 6-1 2018 28085304 larger variability shrinks the range of representation, providing a functional rationale for the experimentally observed comodularity of grid cell periodicity, orientation, and ellipticity. 2018-08-13 2023-01-26 Not clear
Lajos V\\xc3\\xa1g\\xc3\\xb3, Bal\\xc3\\xa1zs B Ujfaluss. Robust and efficient coding with grid cells. PLoS computational biology vol 14 issue 1 2018 29309406 our study demonstrates that robust and efficient coding can be achieved without parameter tuning in the case of grid cell representation and provides a solid theoretical explanation for the large diversity of the grid scales observed in experimental studies. 2018-06-18 2023-01-26 Not clear
Christoph Schmidt-Hieber, Gabija Toleikyte, Laurence Aitchison, Arnd Roth, Beverley A Clark, Tiago Branco, Michael H\\xc3\\xa4usse. Active dendritic integration as a mechanism for robust and precise grid cell firing. Nature neuroscience vol 20 issue 8 2017 28628104 by incorporating these nonlinear dynamics into grid cell models, we show that they can sharpen the precision of the temporal code and enhance the robustness of the rate code, thereby supporting a stable, accurate representation of space under varying environmental conditions. 2017-09-05 2023-01-26 Not clear
Martin Stemmler, Alexander Mathis, Andreas V M Her. Connecting multiple spatial scales to decode the population activity of grid cells. Science advances vol 1 issue 11 2016 26824061 for goal-directed navigation, the allocentric grid cell representation can be readily transformed into the egocentric goal coordinates needed for planning movements. 2016-01-29 2023-01-25 Not clear
Robin M A Hayman, Giulio Casali, Jonathan J Wilson, Kate J Jeffer. Grid cells on steeply sloping terrain: evidence for planar rather than volumetric encoding. Frontiers in psychology vol 6 issue 2015 26236245 these findings collectively suggest that the grid cell component of the metric representation of space is not fixed in absolute 3d space but is influenced both by the surface the animal is on and by the relationship of this surface to the horizontal, supporting the hypothesis that the neural map of space is "multi-planar" rather than fully volumetric. 2015-08-03 2023-01-25 Not clear
Francis Carpenter, Daniel Manson, Kate Jeffery, Neil Burgess, Caswell Barr. Grid cells form a global representation of connected environments. Current biology : CB vol 25 issue 9 2015 25913404 however, with prolonged experience, grid cell firing patterns formed a single, continuous representation that spanned both compartments. 2015-07-29 2023-01-25 rat
Christophe Magnani, Michael N Economo, John A White, Lee E Moor. Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation. Frontiers in cellular neuroscience vol 8 issue 2014 25191226 the neurons in layer ii of the medial entorhinal cortex are part of the grid cell network involved in the representation of space. 2014-09-05 2023-01-25 Not clear
Julia Mikhal, Bernard J Geurt. Development and application of a volume penalization immersed boundary method for the computation of blood flow and shear stresses in cerebral vessels and aneurysms. Journal of mathematical biology vol 67 issue 6-7 2014 23192329 in each case a 'staircase' representation is used in which a grid cell is either 'solid' or 'fluid'. 2014-06-16 2023-01-25 human
K Gupta, U M Erdem, M E Hasselm. Modeling of grid cell activity demonstrates in vivo entorhinal 'look-ahead' properties. Neuroscience vol 247 issue 2014 23660194 this system creates representations of location and associated reward information based on only two inputs of heading and speed information which activate grid cell and place cell layers. 2014-03-18 2023-01-25 rat
D\\xc3\\xa1vid Samu, P\\xc3\\xa9ter Eros, Bal\\xc3\\xa1zs Ujfalussy, Tam\\xc3\\xa1s Kis. Robust path integration in the entorhinal grid cell system with hippocampal feed-back. Biological cybernetics vol 101 issue 1 2009 19381679 we show that the continuous feed-back from the integrated hippocampal place representation is able to stabilize the grid cell code. 2009-10-30 2023-01-25 Not clear
D\\xc3\\xa1vid Samu, P\\xc3\\xa9ter Eros, Bal\\xc3\\xa1zs Ujfalussy, Tam\\xc3\\xa1s Kis. Robust path integration in the entorhinal grid cell system with hippocampal feed-back. Biological cybernetics vol 101 issue 1 2009 19381679 we set up the model of a mobile agent equipped with the entorhinal representation of idiothetic (grid cell) and allothetic (visual cells) information and simulated its place learning in a virtual environment. 2009-10-30 2023-01-25 Not clear