Tag: Place Cells

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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Hippocampal Contributions to Model-Based Planning and Spatial Memory

Vikbladh, Oliver M., Michael R. Meager, John King, Karen Blackmon, Orrin Devinsky, Daphna Shohamy, Neil Burgess, and Nathaniel D. Daw. “Hippocampal Contributions to Model-Based Planning and Spatial Memory.” Neuron (2019).

Highlights
• We tested planning and spatial memory

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DeepMind GridCells Code

The DeepMind opens the code of grid cells (Banino et al 2018) via GitHub(https://github.com/deepmind/grid-cells) in Jan. 2019. This package provides an implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published …

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How does the brain’s spatial map change when we change the shape of the room?

A latest report about grid cells from Sainsbury Wellcome Centre at UCL. The following is excerpted from the report. 

Our ability to navigate the world, and form episodic memories, relies on an accurate representation of the environment around us. …

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The Nobel Prize in Physiology or Medicine 2014 was awarded to John O’Keefe, May-Britt Moser and Edvard I. Moser “for their discoveries of cells that constitute a positioning system in the brain.”

A summary report of the Nobel Prize in Physiology or Medicine 2014 on the www.nobelprize.org 

The following content is excerpted from the reference -The Nobel Prize in Physiology or Medicine 2014. NobelPrize.org. Nobel Media AB 2019. Thu. 10 Jan 2019.

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How your brain encodes location?

A latest report titled ‘The Surprising Relativism of the Brain’s GPS’ by ADITHYA RAJAGOPALAN at Cohen Lab, JOHNS HOPKINS UNIVERSITY, reviewed the brief research history of the Brain’s GPS published in  NAUTILUS

For further info, please read the report …

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Path Integration in a Continuous Attractor Network Model

The excerpt note is about path integration with continuous attractor network according to McNaughton B. L., et al., 2006.

McNaughton, Bruce L., Francesco P. Battaglia, Ole Jensen, Edvard I. Moser, and May-Britt Moser. “Path integration and the neural basis

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