Tag: Grid Cells

Whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments?

Robert G K Munn, Caitlin S Mallory, Kiah Hardcastle, Dane M Chetkovich, Lisa M Giocomo. Entorhinal velocity signals reflect environmental geometry. bioRxiv 671222; doi: https://doi.org/10.1101/671222

Summary
The entorhinal cortex contains neural signals for representing self-location, including grid cells that …

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How the sensory environmental information and the self-motion information influence on place and grid cell firing?

Chen, Guifen, Yi Lu, John A. King, Francesca Cacucci, and Neil Burgess. “Differential influences of environment and self-motion on place and grid cell firing.” Nature communications 10, no. 1 (2019): 630.

Abstract

Place and grid cells in the hippocampal formation …

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Whether humans can navigate a sensory space informed only by odor cues and how the brain might internalize a representation of two-dimensional olfactory space

Xiaojun Bao, Eva Gjorgieva, Laura K. Shanahan, James D. Howard, Thorsten Kahnt, and Jay A. Gottfried. Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space. Neuron(2019), https://doi.org/10.1016/j.neuron.2019.03.034 

Grid cells in entorhinal cortex underlie spatial orientation and path …

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How to build goal-directed navigation based on path integration and decoding of grid cells in an artificial neural network？

Edvardsen, Vegard. “Goal-directed navigation based on path integration and decoding of grid cells in an artificial neural network.” Natural Computing 18, no. 1 (2019): 13-27.

The following content is extracted from Edvardsen 2019.

Edvardsen, Vegard. “Goal-directed navigation based …

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How to implement long-range navigation by path integration and decoding of grid cells in a neural network?

Edvardsen, Vegard. “Long-range navigation by path integration and decoding of grid cells in a neural network.” In 2017 International Joint Conference on Neural Networks (IJCNN), pp. 4348-4355. IEEE, 2017.

The following content is extracted from Edvardsen 2017.

Neural …

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How grid cells generate unambiguous and high-capacity representations of variables in much higher-dimensional space?

Klukas, Mirko, Marcus Lewis, and Ila Fiete. “Flexible representation and memory of higher-dimensional cognitive variables with grid cells.” bioRxiv (2019): 578641.

The following content is from Klukas 2019.

Grid cell representations are simultaneously flexible and powerful yet rigid …

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How grid cells could possibly organize?

Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, and Lorenzo Rosasco. “A computational model for grid maps in neural populations.” arXiv preprint arXiv:1902.06553 (2019).

The following content is extracted from Anselmi 2019.

Anselmi, Fabio, Benedetta Franceschiello, Micah M. Murray, …

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