FANGWEN YU
Brain Inspired Navigation Blog
3D Spatial Representation: Coding of 3D space by 3D Grid Cells, 3D Border Cells, 3D Head Direction Cells
Latest reports about 3D Spatial Representation by Gily Ginosar at Weizmann Institute of Science and Misun Kim at UCL in the Grid Cell Meeting on May 21-22, 2018. (http://www.cognitive-map.com/img/GCMposters.pdf )
Gily Ginosar, Weizmann Institute of Science
Grid cells recorded …
Navigation in AI-Brain and Bio-Brain
Most animals, including humans, are able to flexible navigate the complex world. They can explore new areas, returning quickly to remembered places, and taking shortcuts. The recent discovery in neuroscience, including place cells, grid cells, head direction cells, border cells, …
How to match panoramas images in opposite viewpoint for visual route recognition?
These references are about key matching methods of panoramas images in forward and backward direction for visual route recognition in brain inspired navigation.
Milford Michael. “Visual route recognition with a handful of bits.” Proc. 2012 Robotics: Science and …
Exciting New Bio-inspired Robots Include Rolling Spider, Flying Fox From Festo
Festo has just announced its two newest bionic learning network robots—one is a very convincing flying fox, and the other is a walking, tumbling robot inspired by a Saharan spider. Over the last few years, we’ve met ants, butterflies, …
How to build robust visual template matching for robot place recognition and navigation?
The following are some references about visual template matching, including theory and demo.
Corke, Peter. Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised. Vol. 118. Springer, 2017, pp. 376-392.
Milford, M. and Wyeth, G., 2010. …
How to process panoramic images for scene recognition?
The excerpt note is about panoramic images from Zhang et al., 2007.
Zhang, A. M. (2007). Robust appearance based visual route following in large scale outdoor environments. Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia, 2007.…
How to implement appearance-based scene recognition using panoramic images for persistent navigation and mapping in open areas?
The excerpt note is about vision processing and appearance-based recognition using panoramic images for persistent navigation and mapping in open areas from Michael et al., 2010.
Michael Milford, and Gordon Wyeth. “Persistent Navigation and Mapping using a Biologically Inspired …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How synaptic plasticity underlies place-field formation and memory encoding during navigation?
- How human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory?
- How are associative memories formed? Which cells represent a memory, and when are they engaged?
- 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?
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Categories
- 3D Movement
- 3D Navigation
- 3D Path Integration
- 3D Perception
- 3D SLAM
- 3D Spatial Representation
- AI Navigation
- Bio-Inspired Robotics
- Brain-Inspired Navigation
- Cognitive Map
- Cognitive Navigation
- Episodic Memory
- Excerpt Notes
- Flying Vehicle Navigation
- Goal Representation
- Insect Navigation
- Learning to Navigate
- Neural Basis of Navigation
- Path Integration
- Path Planning
- Project
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- Robotic Vision
- Self-Flying Vehicles
- Semantic Memory
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- Spatial Cognitive Computing
- Spatial Coordinate System
- Spatial Memory
- Time
- Unclassified
- Visual Cortex
- Visual Cue Cells
Links
- Laboratory of Nachum Ulanovsky
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- The lab of Arseny Finkelstein
- The Epstein Lab
- Gu Lab (Spatial Navigation and Memory)
- Fisher Lab (Neural Circuits for Navigation)
- The Alexander Lab (Spatial Cognition and Memory)
- Harvey Lab (Neural Circuits for Navigation)
- Buzsáki Lab
- ……