Category: Brain-Inspired Navigation
How to understand the neural basis of natural intelligence?
Angelo Forli, Michael M. Yartsev. Understanding the neural basis of natural intelligence. Cell, 2024, Volume 187, Issue 21, 5833 – 5837
Abstract
“Understanding the neural basis of natural intelligence necessitates a paradigm shift: from strict reductionism toward …
How the brain perform control and recalibration of path integration in place cells using optic flow?
Madhav, M.S., Jayakumar, R.P., Li, B.Y. et al. Control and recalibration of path integration in place cells using optic flow. Nat Neurosci (2024). https://doi.org/10.1038/s41593-024-01681-9
Abstract
“Hippocampal place cells are influenced by both self-motion (idiothetic) signals and external sensory …
How animals simultaneously map their surroundings and tether goals to these surroundings during early experience in a novel environment?
Dan, Chuntao, Brad K. Hulse, Ramya Kappagantula, Vivek Jayaraman and Ann M. Hermundstad. “A neural circuit architecture for rapid learning in goal-directed navigation.” Neuron (2024): DOI:https://doi.org/10.1016/j.neuron.2024.04.036
Summary
“Anchoring goals to spatial representations enables flexible navigation but is …
How to implement an explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry?
Simone Coppolino, Michele Migliore. An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry. Neural Networks, Volume 163, June 2023, Pages 97-107.
Abstract
“Learning to navigate a complex environment is not a difficult task for a …
How to learn accurate path integration in ring attractor models of the head direction system?
Pantelis VafidisDavid OwaldTiziano D’AlbisRichard Kempter (2022) Learning accurate path integration in ring attractor models of the head direction system eLife 11:e69841. https://doi.org/10.7554/eLife.69841
Abstract
“Ring attractor models for angular path integration have received strong experimental support. To function as integrators, head …
How to enable robots navigate based on experiences and predictive map inspired by spatial cognition in the brain?
D. Liu, Z. Lyu, Q. Zou, X. Bian, M. Cong and Y. Du, “Robotic Navigation Based on Experiences and Predictive Map Inspired by Spatial Cognition,” in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2022.3155614.
Abstract:
“Humans and animals have environmental …
How visual landmarks are integrated into a framework that supports the neural encoding of landmark-based orientation？
Patrick A. LaChance, Jalina Graham, Benjamin L. Shapiro, Ashlyn J. Morris, Jeffrey S. Taube. Landmark-modulated directional coding in postrhinal cortex. SCIENCE ADVANCES, 28 Jan 2022, Vol 8, Issue 4. DOI: 10.1126/sciadv.abg8404
Abstract
“Visual landmarks can anchor an animal’s …
How hippocampal ensembles combine multimodal sensory cues?
Dustin Fetterhoff, Andrey Sobolev, Christian Leibold. Graded remapping of hippocampal ensembles under sensory conflicts. Cell Reports, Volume 36, Issue 11, 2021.
Summary
“Hippocampal place cells are thought to constitute a cognitive map of space derived from multimodal sensory …
Whether humans represent a curved surface by building a dimension-reduced flattened 2D map or a full 3D map?
Misun Kim, Christian F. Doeller. Adaptive cognitive maps for curved surfaces in the 3D world. bioRxiv 2021.08.30.458179; doi: https://doi.org/10.1101/2021.08.30.458179
Abstract
“Terrains in a 3D world can be undulating. Yet, most prior research has exclusively investigated spatial representations on a …
How does the brain encode angular and linear velocity?
Davide Spalla, Alessandro Treves, Charlotte N. Boccara. Angular and Linear Speed Cells in the Parahippocampal Circuits. bioRxiv 2021.01.28.428631; doi: https://doi.org/10.1101/2021.01.28.428631
Abstract
“An essential role of the hippocampal region is to integrate information to compute and update representations. …
How can spatial navigation research in neuroscience and AI advance both fields significantly?
Bermudez-Contreras E, Clark BJ and Wilber A (2020) The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence. Front. Comput. Neurosci. 14:63. doi: 10.3389/fncom.2020.00063
Abstract
“Recent advances in artificial intelligence (AI) and neuroscience are impressive. In AI, this …
What is the latest progress in brain-inspired navigation technology integrating perception and action decision?
YANG Chuang, LIU Jianye, XIONG Zhi, LAI Jizhou, XIONG Jun. Brain-inspired navigation technology integrating perception and action decision: A review and outlook[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(1): 23280-023280.
Abstract
“With the sustained development of brain and neuroscience as …
What could be the computational benefits of such a mapping between intrinsic dynamical structure and external sensory inputs for navigation in the brain?
Christian Leibold. A Model for Navigation in Unknown Environments Based on a Reservoir of Hippocampal Sequences.
bioRxiv 2019.12.18.880583; doi: https://doi.org/10.1101/2019.12.18.880583
Abstract
“Hippocampal place cell populations are activated in sequences on multiple time scales during active behavior, resting and sleep …
How the Spiking Neural Network allows for navigation through an environment via landmark association without needing GPS?
Alexander Jones, Andrew Rush, Cory Merkel, Eric Herrmann, Ajey P. Jacob, Clare Thiem, Rashmi Jha. A neuromorphic SLAM architecture using gated-memristive synapses. Neurocomputing, 2019, https://doi.org/10.1016/j.neucom.2019.09.098.
Abstract
“Navigation in GPS-denied environments is a critical challenge for autonomous mobile platforms …
How to implement 6DoF state estimation on 3D manifold based on neural dynamics?
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 …
How Does the Brain Solve the Computational Problems of Spatial Navigation?
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 …
How is information about location, direction, and distance integrated in the grid cell network?
Sargolini, Francesca, Marianne Fyhn, Torkel Hafting, Bruce L. McNaughton, Menno P. Witter, May-Britt Moser, and Edvard I. Moser. “Conjunctive representation of position, direction, and velocity in entorhinal cortex.” Science 312, no. 5774 (2006): 758-762.
Abstract
Grid cells in …
Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats
Finkelstein, Arseny, Nachum Ulanovsky, Misha Tsodyks, and Johnatan Aljadeff. “Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats.” Nature communications 9, no. 1 (2018): 3590.
Abstract：
Ethologically relevant stimuli are often multidimensional. In many brain …
Neuromorphic Stereo Vision for Biologically Plausible Robots
Lea Steffen, Daniel Reichard, Jakob Weinland, Jacques Kaiser, Arne Roennau and Rüdiger Dillmann. Neuromorphic Stereo Vision: a Survey of Bio-inspired Sensors and Algorithms. Front. Neurorobot. | doi: 10.3389/fnbot.2019.00028
Anstract: Any visual sensor, whether artificial or biological, maps the 3D-world …
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 …
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
Struckmeier, Oliver, Kshitij Tiwari, Martin J. Pearson, and Ville Kyrki. “ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM.” arXiv preprint arXiv:1904.05667 (2019).
Abstract— In this work, Struckmeier et al. propose a novel, bio-inspired multisensory SLAM approach called ViTa-SLAM. Compared to …
Attractor Dynamics and Embodiment of Neural Computing (Neuromorphic SLAM)
Yulia Sandamirskaya. Attractor Dynamics and Embodiment of Neural Computing. Presented at Neuro Inspired Computational Elements Workshop (NICE 2019).
Dr. Sandamirskaya talked about attractor dynamics and neuromorphic SLAM. The talks introduced head direction cells models based on neuromorphic hardware. How …
Two Compasses in the Central Complex of the Locust Brain
Pegel, Uta, Keram Pfeiffer, Frederick Zittrell, Christine Scholtyssek, and Uwe Homberg. “Two compasses in the central complex of the locust brain.” Journal of Neuroscience 39, no. 16 (2019): 3070-3080.
In the brain of the desert locust, neurons sensitive …
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 …
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 …
NeuroSLAM : Neural Simultaneous Localization and Mapping Workshop 13-14 Mar 2019 Paris (France)
NeuroSLAM: Neural Simultaneous Localization and Mapping Workshop
Simultaneous Localization and Mapping (or SLAM) refers to the problem of constructing a map of an unknown environment as it is actively being explored. SLAM has been treated extensively in mobile robotics, providing …
Bio-inspired wind sensation for advanced autonomous drones/UAV navigation
Reliability and accuracy of navigation in flying drones are one of the key challenges that must be solved in autonomous applications. Accurate knowledge of position, attitude, and velocity is a critical input for drones operating in cluttered and challenging environments …
How the brain represent 3D head direction in 3D space?
The note is an excerpt from the Shinder et al. 2019. We just describe some key conception and results in this study as a significant note. Please read the original paper if you are interested in the study on https://www.physiology.org/doi/full/10.1152/jn.00880.2017…
A Map in the Sky for Self-Flying Vehicles
A report titled ‘Flying Taxis Take Flight, Presage New Location Intelligence‘ by Frits van der Schaaf.
…Location intelligence has long been used to present real-time information on maps—for transportation companies’ tracking of shipments; utility companies’ monitoring the status
Robots are learning how to walk like we do
Robots have walked on legs for decades. Today’s most advanced humanoid robots can tramp along flat and inclined surfaces, climb up and down stairs, and slog through rough terrain. Some can even jump.
A report about legged robots on the …
How the brain’s spatial systems organize their representation of 3D space?
The brain’s spatial map is supported by place cells, encoding current location, and grid cells, which report horizontal distance traveled by producing evenly sized and spaced foci of activity (firing fields) that tile the environment surface. Casalia et al. 2019 …
AntBot: desert ants inspired autonomous navigation in outdoor environments
J. Dupeyroux et al. 2019 presents a navigation system inspired by desert ants’ navigation behavior, which requires precise and robust sensory modalities.
They tested several ant-inspired solutions to outdoor homing navigation problems on a legged robot using two optical sensors …
How a simple robotics model of mammal navigation is useful to interpret neurobiological recordings
Place recognition is a complex process involving idiothetic and allothetic information. In mammals, evidence suggests that visual information stemming from the temporal and parietal cortical areas (‘what’ and ‘where’ information) is merged at the level of the entorhinal cortex (EC) …
DeepMind GridCells Code
The DeepMind opens the code of grid cells (Banino et al 2018) via GitHub(https://github.com/deepmind/grid-cells) in Jan. 2019. This package provides an implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published …
Towards Neuromorphic SLAM and Navigation
The latest research Kreiser et al. 2018, published IROS 2018, investigated the use of ultra low-power, mixed signal analog/digital neuromorphic hardware for implementation of biologically inspired neuronal path integration and map formation for a mobile robot.
For further info, please …
How does the brain’s spatial map change when we change the shape of the room?
A latest report about grid cells from Sainsbury Wellcome Centre at UCL. The following is excerpted from the report.
Our ability to navigate the world, and form episodic memories, relies on an accurate representation of the environment around us. …
The Nobel Prize in Physiology or Medicine 2014 was awarded to John O’Keefe, May-Britt Moser and Edvard I. Moser “for their discoveries of cells that constitute a positioning system in the brain.”
A summary report of the Nobel Prize in Physiology or Medicine 2014 on the www.nobelprize.org
The following content is excerpted from the reference -The Nobel Prize in Physiology or Medicine 2014. NobelPrize.org. Nobel Media AB 2019. Thu. 10 Jan 2019. …
How the brain works on many different levels, from human interactions to the chemistry of neurotransmitters?
Video from: https://vimeo.com/249492053
Scientists examine the brain and how it works on many different levels, from human interactions to the chemistry of neurotransmitters. This animations compares the scale of the different research subjects.
Made in collaboration with INM-1 of Forschungszentrum …
How 3D grid cells encode 3D physical space in the human brain?
Novel fantastic research about 3D grid cells in the human brain by Dr. Misun Kim and Professor Eleanor A. Maguire in paper Kim et al. 2019
Misun Kim, Eleanor A. Maguire. Can we study 3D grid codes non-invasively in the …
How three-dimensional (3D) direction information is encoded in the human brain?
Novel fantastic research about 3D head direction cells in the human brain by Dr. Misun Kim and Professor Eleanor A. Maguire in paper Kim et al. 2018.
Misun Kim, Eleanor A. Maguire. Encoding of 3D head direction information in the …
CogNav-Cognitive Navigation
An issue of Navigation News on Cognitive Navigation. https://rin.org.uk/page/NavigationNews
An article about Cognitive Navigation by Professor Kate Jeffery in this issue.
https://cdn.ymaws.com/rin.org.uk/resource/resmgr/cognav/spatialcognition/cognitivenavigation.pdf
“Cognitive navigation integrates the navigator with their surroundings, in both time and space, and also with other navigators,and …
What if we could design an autonomous flying robot with the navigational and learning abilities of a honeybee?
Some brief introduction about the project ‘Brains on Board: Neuromorphic Control of Flying Robots’
What if we could design an autonomous flying robot with the navigational and learning abilities of a honeybee? Such a computationally and energy-efficient autonomous …
How the brain makes a map of space?
A brief review on the neural cells of navigation in the brain by Professor Kate Jeffery.
Please read the slide at https://www.cambridgeconference.com/wp-content/uploads/2017/08/0955-presentation-kate-Jeffery.pdf
Some snapshot from the report. The neural cells include place cells, head direction cells, grid cells, etc.…
Brain-inspired dynamic path replanning in autonomous navigation for robotic swarms
What do animal brains have in common with a swarm of robots?
In an effort to improve robotic swarming algorithms, an interdisciplinary team of scientists will study how the brain allows an animal to navigate and change its route while …
Animals Teach Robots to Find Their Way
By Chris Edwards
Communications of the ACM, August 2018, Vol. 61 No. 8, Pages 14-16. 10.1145/3231168
Mammalian research has underpinned the key models used in robot development. Analogs of neural networks found in the rat’s brain underpin the most widespread …
How landmark and self-motion cues combine during navigation to generate spatial representations?
The excerpt note is about how combine landmark and self-motion cues for navigation from Campbell et al., 2018.
Campbell, Malcolm G., Samuel A. Ocko, Caitlin S. Mallory, Isabel I. C. Low, Surya Ganguli & Lisa M. Giocomo. Principles governing the …
How do bats navigate in 3D environments?
The excerpt note is about bat navigation from Yovel & Ulanvosky 2017.
Yovel, Yossi, and Nachum Ulanvosky. “1.18 Bat Navigation.” Learning and Memory: A Comprehensive Reference (2017): 333.
Navigation, the capacity to plan and execute a goal-directed path, …
Biologically inspired visual odometry based on the computational model of grid cells
A biologically inspired visual odometry based on the computational model of grid cells, which is developed based on the the source code of the computational model of grid cells: http://clm.utexas.edu/fietelab/code.htm, and LIBVISO2: http://www.cvlibs.net/software/libviso/, by Huimin Lu, Junhao Xiao, …
How to unlock the secrets of 3D navigation in the brain?
A Nature News Feature report the research story of 3D navigation in Nachum Ulanovsky lab. Titled “100 bats and a long, dark tunnel: one neuroscientist’s quest to unlock the secrets of 3D navigation” published in Nature News at …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How does one brain circuit encode memories of both places and events?
- How sleep microstructure organizes memory replay?
- How to understand the neural basis of natural intelligence?
- 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?
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Links
- Laboratory of Nachum Ulanovsky
- Jeffery Lab
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- The NeuroBat Lab
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- The lab of Arseny Finkelstein
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- The Alexander Lab (Spatial Cognition and Memory)
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