A speed-accurate self-sustaining head direction cell path integration model without recurrent excitation. (2nd October 2018)

• Record Type: Journal Article
• Authors: Page, Hector J. I.; Walters, Daniel; Stringer, Simon M.
• Is Part Of: Network. Volume 29:Number 1/4(2018)
• Page Start: 37
• Page End: 69
• Publication Date: 2018-10-02
• Subjects: Spatial cognition -- head direction cells -- path integration -- continuous attractor neural networks -- attractor dynamics; Neural computers -- Periodicals; Neural networks (Computer science) -- Periodicals; 006.32
• DOI: 10.1080/0954898X.2018.1559960
• Languages: English
• ISSNs: 0954-898X

Abstract

ABSTRACT: 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.