Category: Insect Navigation
Neural-inspired Sparse Sensing and Control for Agile Flight
MURI Project: Neural-inspired Sparse Sensing and Control for Agile Flight
“Researchers from the University of Washington, Carnegie Mellon University, and the Massachusetts Institute of Technology have been awarded a 2019 multidisciplinary university research initiative (MURI) award from the Air Force …
Learning from animals: How to Navigate Complex Terrains?
Zhu H, Liu H, Ataei A, Munk Y, Daniel T, Paschalidis IC (2020) Learning from animals: How to Navigate Complex Terrains. PLoS Comput Biol 16(1): e1007452. https://doi.org/10.1371/journal.pcbi.1007452
Abstract
“We develop a method to learn a bio-inspired motion control …
What’s the effect of the differences on the dynamics of the heading direction circuit of two insect species
Ioannis Pisokas, Stanley Heinze, Barbara Webb. The heading direction circuit of two insect species. bioRxiv 854521; doi: https://doi.org/10.1101/854521
Abstract
Recent studies of the Central Complex in the brain of the fruit fly Drosophila melanogaster have identified neurons with localised …
The internal maps of insects
Webb, Barbara. “The internal maps of insects.” Journal of Experimental Biology 222, no. Suppl 1 (2019): jeb188094.
ABSTRACT
Insect navigation is strikingly geometric. Many species use path integration to maintain an accurate estimate of their distance and direction …
Visual navigation in insects and robots
Visual navigation in insects and robots by Barbara Webb, Professor of Biorobotics, University of Edinburgh. She will give a keynote talk at 11th Vision Researchers Colloquium, 8 July, led by Bristol Vision Institute, in partnership with the …
How ants navigate within their dark nest
Heyman, Y., Vilk, Y., & Feinerman, O. (2019). Ants use multiple spatial memories and chemical pointers to navigate their nest. iScience.
Highlights
• Heyman et al. combine multiple technologies to study how ants navigate within their dark nest
• …
Principles of insect path integration
Heinze, Stanley, Ajay Narendra, and Allen Cheung. “Principles of insect path integration.” Current Biology 28, no. 17 (2018): R1043-R1058.
Abstract
Continuously monitoring its position in space relative to a goal is one of the most essential tasks for …
About
CogNav Blog
New discovery worth spreading on cognitive navigation in robotics and neuroscience
Recent Posts
- How does the brain represent the location of oneself and others in shared environments?
- How does the brain update memory representation?
- How do time cells in the human hippocampus and entorhinal cortex support episodic memory?
- How do hippocampal replay patterns dynamically change during the spatial learning process
- How to implement sensory processing, learning, and motor control using a biologically spiking neural network model of the flying insect mushroom body?
Tags
Categories
- 3D Movement
- 3D Navigation
- 3D Perception
- 3D SLAM
- 3D Spatial Representation
- AI Navigation
- Bio-Inspired Robotics
- Brain-Inspired Navigation
- Cognitive Navigation
- Episodic Memory
- Excerpt Notes
- Flying Vehicle Navigation
- Insect Navigation
- Learning to Navigate
- Neural Basis of Navigation
- Path Integration
- Project
- Research Tips
- Robotic Vision
- Self-Flying Vehicles
- Spatial Cognition
- Spatial Cognitive Computing
- Spatial Coordinate System
- Spatial Memory
- Time
- Unclassified
- Visual Cortex
- Visual Cue Cells
Links
- Laboratory of Nachum Ulanovsky
- Jeffery Lab
- BatLab
- The NeuroBat Lab
- Taube Lab
- Laurens Group
- Romani Lab
- Moser Group
- O’Keefe Group
- DoellerLab
- MilfordRobotics Group
- The Space and Memory group
- Angelaki Lab
- Spatial Cognition Lab
- McNaughton Lab
- Conradt Group
- The Fiete Lab
- The Cacucci Lab
- The Burak Lab
- Knierim Lab
- Clark Spatial Navigation & Memory Lab
- Computational Memory Lab
- The Dombeck Lab
- Zugaro Lab
- Insect Robotics Group
- ……