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 …
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 …
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, …
How the brain implements recognition of familiar faces, objects, and scenes at the neural level?
Bicanski and Burgess 2019 propose that grid cells support visual recognition memory, by encoding translation vectors between salient stimulus features. They provide an explicit neural mechanism for the role of directed saccades in hypothesis-driven, constructive perception and recognition, and …
Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots
MURI Project Title: “Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots”
Project Website: http://sites.bu.edu/neuroautonomy/
https://electrical.eng.unimelb.edu.au/control-signal-processing/neuro-autonomy
The following content is extracted from the http://www.bu.edu.
A Boston University-led research team was selected to receive a $7.5 million Multidisciplinary …
3D State Estimation and 3D Pose Graph Optimization for 3D SLAM and Navigation
The following are some key references about 3D state estimation, 3D motion, 3D pose graph optimization.
Solà, Joan, Jeremie Deray, and Dinesh Atchuthan. “A micro Lie theory for state estimation in robotics.” arXiv preprint arXiv:1812.01537 (2018).
In this …
Whether hippocampal spatial coding principles also provide a universal metric for the organization of non-spatial information?
The latest investigation by Theves et al. 2019 revealed the hippocampus encodes distances in multidimensional feature space.
Highlights
• The hippocampus encodes distances in multidimensional feature space
• Converging evidence from multivoxel pattern and fMRI adaptation analyses
• Results suggest …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How grid cell firing patterns rapidly adapt to novel or changing environmental features on a timescale relevant to behaviour?
- How the representations of space and time interact in the hippocampal memory system?
- How the brain integrate recent experiences into existing memories ensures that memories contain the most recently available information?
- How learning-associated astrocyte ensembles regulate memory recall?
- How bats use environmental acoustic information to perform acoustic cognitive map–based navigation?
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