Brain Inspired Navigation

Category: Spatial Cognition

How hippocampus adds time to episodic memories?

Cox, Brittney M., Conor D. Cox, Benjamin G. Gunn, Aliza A. Le, Victoria C. Inshishian, Christine M. Gall, and Gary Lynch. “Acquisition of temporal order requires an intact CA3 commissural/associational (C/A) feedback system in mice.” Communications Biology 2, no. 1 …

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How the brain controls movement in high dimensional space?

Gallego, Juan A., Matthew G. Perich, Lee E. Miller, and Sara A. Solla. “Neural manifolds for the control of movement.” Neuron 94, no. 5 (2017): 978-984.

Abstract

The analysis of neural dynamics in several brain cortices has consistently …

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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 …

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How does the brain achieve variable neuronal activity?

Johnston, W. Jeffrey, Stephanie E. Palmer, and David J. Freedman. “Nonlinear mixed selectivity supports reliable neural computation.” bioRxiv (2019): 577288.

Summary
Neuronal activity in the brain is variable, yet both perception and behavior are generally reliable. How does the brain …

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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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