A three-dimensional neural compass

Rowland, David C; Moser, May‐Britt

doi:10.1038/nature14076

Cited by 3 publications

(2 citation statements)

References 10 publications

(5 reference statements)

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“…Almost all the animals are living in the three dimensional world while the research of place cells remain in one (a line) or two (a plane) dimensional space. Only a few known studies reported how the three dimensional space is recognized by animals (Hayman et al, 2011 ; Rowland and Moser, 2015 ). Unfortunately, these results seemed to be contradictory.…”

Section: Introductionmentioning

confidence: 99%

“…Hayman believed that the animal applied different strategies in coding the horizontal and vertical spatial information (Hayman et al, 2011 ), suggesting an asymmetric coding property about three dimensional space. Whereas, Moser supported that the place code for the three dimensions is symmetric (Rowland and Moser, 2015 ). Obviously, this question has not been studied thoroughly and the known results indicated that it is hard to reveal the mystery of the three dimensional spatial cognition function only by experimental studies.…”

Section: Introductionmentioning

confidence: 99%

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An Energy Model of Place Cell Network in Three Dimensional Space

Wang

2018

Front. Neurosci.

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Place cells are important elements in the spatial representation system of the brain. A considerable amount of experimental data and classical models are achieved in this area. However, an important question has not been addressed, which is how the three dimensional space is represented by the place cells. This question is preliminarily surveyed by energy coding method in this research. Energy coding method argues that neural information can be expressed by neural energy and it is convenient to model and compute for neural systems due to the global and linearly addable properties of neural energy. Nevertheless, the models of functional neural networks based on energy coding method have not been established. In this work, we construct a place cell network model to represent three dimensional space on an energy level. Then we define the place field and place field center and test the locating performance in three dimensional space. The results imply that the model successfully simulates the basic properties of place cells. The individual place cell obtains unique spatial selectivity. The place fields in three dimensional space vary in size and energy consumption. Furthermore, the locating error is limited to a certain level and the simulated place field agrees to the experimental results. In conclusion, this is an effective model to represent three dimensional space by energy method. The research verifies the energy efficiency principle of the brain during the neural coding for three dimensional spatial information. It is the first step to complete the three dimensional spatial representing system of the brain, and helps us further understand how the energy efficiency principle directs the locating, navigating, and path planning function of the brain.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%