Tag: head-direction cells

How Does the Brain Solve the Computational Problems of Spatial Navigation?

Widloski, John, and Ila Fiete. “How does the brain solve the computational problems of spatial navigation?.” In Space, Time and Memory in the Hippocampal Formation, pp. 373-407. Springer, Vienna, 2014.

Flexible navigation in the real world involves …

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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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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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iNav 2018: How does the brain know where it is, where it is going, and how to get from one place to another?

The 2nd Interdisciplinary Navigation Symposium (iNav 2018) was held in June 2018 in Québec, Canada, organized by Jeffery Taube, Thomas Wolbers, Kate Jeffery, Laure Rondi-Reig, David Dickman, Mayank Mehta. The meeting aims to bring together a diverse group of scientists …

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How to enable robot cognitive mapping inspired by Grid Cells, Head Direction Cells and Speed Cells?

Taiping Zeng, and Bailu Si. “Cognitive Mapping Based on Conjunctive Representations of Space and Movement.” Frontiers in Neurorobotics 11 (2017).

In this work, the researchers developed a cognitive mapping model for mobile robots, taking advantage of the coding …

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How Self-Motion Updates the Head Direction Cell Attractor?

Laurens J., et al., 2018 reviews head direction cells. They propose a quantitative framework whereby this drive represents a multisensory self-motion estimate computed through an internal model that uses sensory prediction errors of vestibular, visual, and somatosensory cues to improve …

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