State estimation in high dimensional space is a big challenge problem. Commonly, we use Lie group to implement 6DoF state estimation in 3D space. However, how does the brain implement path integration in 3D space based on neural dynamics?
Low …
Gallego, Juan A., Matthew G. Perich, Lee E. Miller, and Sara A. Solla. “Neural manifolds for the control of movement.” Neuron 94, no. 5 (2017): 978-984.
Abstract
The analysis of neural dynamics in several brain cortices has consistently …
3D grid cell visualisation software was developed by Misun Kim at the Memory and Space Laboratory of Professor Eleanor Maguire, Wellcome Centre for Human Neuroimaging, University College London, London, UK.
This software has two main goals.
First, to visualize the …
Munn, Robert GK, Caitlin S. Mallory, Kiah Hardcastle, Dane M. Chetkovich, and Lisa M. Giocomo. “Entorhinal velocity signals reflect environmental geometry.” bioRxiv (2019): 671222. doi: https://doi.org/10.1101/671222
Summary
The entorhinal cortex contains neural signals for representing self-location, including grid …
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 …
Gu, Yi, Sam Lewallen, Amina A. Kinkhabwala, Cristina Domnisoru, Kijung Yoon, Jeffrey L. Gauthier, Ila R. Fiete, and David W. Tank. “A map-like micro-organization of grid cells in the medial entorhinal cortex.” Cell 175, no. 3 (2018): 736-750.…
Jacob L. S. Bellmund, William de Cothi, Tom A. Ruiter, Matthias Nau, Caswell Barry, Christian F. Doeller. Deforming the metric of cognitive maps distorts memory. bioRxiv 391201; doi: https://doi.org/10.1101/391201
Abstract
Environmental boundaries anchor cognitive maps that support memory. However, …
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience