Goal-directed navigation based on path integration and decoding of grid cells in an artificial neural network
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Title
Goal-directed navigation based on path integration and decoding of grid cells in an artificial neural network
Authors
Keywords
Neurorobotics, Goal-directed navigation, Path integration, Continuous attractor networks, Grid cells, Entorhinal cortex
Journal
Natural Computing
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2016-07-29
DOI
10.1007/s11047-016-9575-0
References
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Related references
Note: Only part of the references are listed.- A Goal Direction Signal in the Human Entorhinal/Subicular Region
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- Principles of goal-directed spatial robot navigation in biomimetic models
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- A biologically inspired hierarchical goal directed navigation model
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- A goal-directed spatial navigation model using forward trajectory planning based on grid cells
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- Linear Look-Ahead in Conjunctive Cells: An Entorhinal Mechanism for Vector-Based Navigation
- (2012) John L. Kubie et al. Frontiers in Neural Circuits
- Grid cells generate an analog error-correcting code for singularly precise neural computation
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- Computational Models of Grid Cells
- (2011) Lisa M. Giocomo et al. NEURON
- Persistent Navigation and Mapping using a Biologically Inspired SLAM System
- (2009) Michael Milford et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Distance coding strategies based on the entorhinal grid cell system
- (2009) Zsófia Huhn et al. NEURAL NETWORKS
- Accurate Path Integration in Continuous Attractor Network Models of Grid Cells
- (2009) Yoram Burak et al. PLoS Computational Biology
- What Grid Cells Convey about Rat Location
- (2008) I. R. Fiete et al. JOURNAL OF NEUROSCIENCE
- Representation of Geometric Borders in the Entorhinal Cortex
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