Path integration mechanism with coarse coding of neurons

Daeeun Kim, Jiwon Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Many animals can return home accurately after exploring for food using their own homing navigation algorithm. Path integration plays a critical role in homing navigation. It is believed that animals are able to recognize their relative location from the nest by accumulating both distance and direction experienced during their travel.We tested possible patterns of neuronal organization for a path integration mechanism. The neural networks consisted of a circular array of neurons, following population coding. We describe here a neural model of path integration involving a relatively small number of neurons and discuss howwell the model operates for homing navigation. Robotic simulations suggest that a neural structure with only a few sensor neurons can successfully handle the path integration needed for homing navigation.

Original languageEnglish
Pages (from-to)277-291
Number of pages15
JournalNeural Processing Letters
Volume34
Issue number3
DOIs
Publication statusPublished - 2011 Dec 1

Fingerprint

Neurons
Navigation
Animals
Robotics
Food
Neural networks
Population
Sensors
Direction compound

All Science Journal Classification (ASJC) codes

  • Software
  • Neuroscience(all)
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

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Path integration mechanism with coarse coding of neurons. / Kim, Daeeun; Lee, Jiwon.

In: Neural Processing Letters, Vol. 34, No. 3, 01.12.2011, p. 277-291.

Research output: Contribution to journalArticle

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