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.
Abstract
Flexible navigation in the real world involves …
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 …
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. …
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 …
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 …
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 …
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 …
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience