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The head direction (HD) system signals HD in an allocentric frame of reference. The system is able to update firing based on internally derived information about self-motion, a process known as path integration. Of particular interest is how path integration might maintain concordance between true HD and internally represented HD. Here we present a self-sustaining two-layer model, capable of self-organizing, which produces extremely accurate path integration. The implications of this work for future investigations of HD system path integration are discussed.

Original publication

DOI

10.1080/0954898X.2018.1559960

Type

Journal article

Journal

Network

Publication Date

2018

Volume

29

Pages

37 - 69

Keywords

Spatial cognition, attractor dynamics, continuous attractor neural networks, head direction cells, path integration, Action Potentials, Animals, Computer Simulation, Head, Head Movements, Humans, Models, Neurological, Motion Perception, Nerve Net, Neural Pathways, Neurons, Nonlinear Dynamics, Space Perception