How insects could store and recall path integration vectors to follow food-ward paths, take shortcuts, search at the feeder and re-calibrate their vector-memories with experience?
Le Moël, Florent, Thomas Jonathan Stone, Mathieu Lihoreau, Antoine Wystrach, and Barbara Webb. “The central complex as a potential substrate for vector based navigation.” Frontiers in Psychology 10 (2019): 690.
Fig from Le Moël et al. 2019.
The …
How to build goal-directed navigation based on path integration and decoding of grid cells in an artificial neural network？
Edvardsen, Vegard. “Goal-directed navigation based on path integration and decoding of grid cells in an artificial neural network.” Natural Computing 18, no. 1 (2019): 13-27.
The following content is extracted from Edvardsen 2019.
Edvardsen, Vegard. “Goal-directed navigation based …
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 …
How Animals Find Their Way
A new book ‘Supernavigators: Exploring the Wonders of How Animals Find Their Way’ by David Barrie was published in May 28, 2019.
In Supernavigators, award-winning author David Barrie takes us on a tour of the cutting-edge science of animal navigation…
Key brain region for navigating familiar places identified
UCL scientists have discovered the key brain region for navigating well-known places, helping explain why brain damage seen in early stages of Alzheimer’s disease can cause such severe disorientation.
Recent research indicates the hippocampus may code the distance to the …
Whether and how vectorial operations are implemented in the wider neural representation of space?
In environments that contain discrete objects, animals are known to store information about distance and direction to those objects and to use this vector information to guide navigation. Theoretical studies have proposed that such vector operations are supported by …
Insect-Inspired Robots Don’t Need GPS For Orientation
The ‘Brains on Board’ project is a collaboration between several British universities in partnership with the Human Brain Project and seeks to ‘translate’ the brains of ants and bees into algorithms that a machine will understand. Its aim is …
Insect Navigation: From Ants to Robots and Back Again
The latest RIN Navigation News focus on Insect Navigation: From Ants to Robots and Back Again.
For further info, please visit the RIN website. …
A gravity-based three-dimensional compass in the mouse brain
Head direction cells in the mammalian limbic system are thought to function as an allocentric neuronal compass. Although traditional views hold that the compass of ground-dwelling species is planar, Angelaki et al. 2019 show that head-direction cells in the rodent …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How to construct general and biologically plausible integrating continuous attractor neural networks?
- What’s the coordinated mechanism for integrating allocentric, route-centered, and egocentric spatial reference frames at the network level during navigation?
- Whether stereo olfaction can enable the formation of allocentric spatial representations?
- How flexible navigation strategies emerge and evolve in freely moving non-human primates?
- How insect integrate spatial and temporal information？
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