Category: Cognitive Navigation

Whether humans can navigate a sensory space informed only by odor cues and how the brain might internalize a representation of two-dimensional olfactory space

Xiaojun Bao, Eva Gjorgieva, Laura K. Shanahan, James D. Howard, Thorsten Kahnt, and Jay A. Gottfried. Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space. Neuron(2019), https://doi.org/10.1016/j.neuron.2019.03.034 

Grid cells in entorhinal cortex underlie spatial orientation and path …

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Whether the established neural signature of spatial memory and navigation – MTL theta oscillations – are also present during the retrieval of relational verbal memory

Solomon, Ethan A., Bradley C. Lega, Michael R. Sperling, and Michael J. Kahana. “Hippocampal theta codes for distances in semantic and temporal spaces.” bioRxiv (2019): 611681.

ABSTRACT

The medial temporal lobe (MTL) is known to support episodic memory …

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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 …

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Learning to navigate – how desert ants calibrate their compass systems?

Robin Grob, Pauline N. Fleischmann and Wolfgang Rössler*. Learning to navigate – how desert ants calibrate their compass systems. Neuroforum 2019. https://doi.org/10.1515/nf-2018-0011 

Navigating through the environment is a challenging task that animals cope with on a daily basis. Many …

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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 …

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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 …

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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 …

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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 …

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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, …

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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

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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 …

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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 …

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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 …

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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

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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

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