Frontiers in Neural Circuits (Dec 2019)

A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells

  • Zishen Xu,
  • Wei Wu,
  • Shawn S. Winter,
  • Max L. Mehlman,
  • William N. Butler,
  • Christine M. Simmons,
  • Ryan E. Harvey,
  • Laura E. Berkowitz,
  • Yang Chen,
  • Jeffrey S. Taube,
  • Aaron A. Wilber,
  • Benjamin J. Clark

DOI
https://doi.org/10.3389/fncir.2019.00075
Journal volume & issue
Vol. 13

Abstract

Read online

Head direction (HD) cells, which fire action potentials whenever an animal points its head in a particular direction, are thought to subserve the animal’s sense of spatial orientation. HD cells are found prominently in several thalamo-cortical regions including anterior thalamic nuclei, postsubiculum, medial entorhinal cortex, parasubiculum, and the parietal cortex. While a number of methods in neural decoding have been developed to assess the dynamics of spatial signals within thalamo-cortical regions, studies conducting a quantitative comparison of machine learning and statistical model-based decoding methods on HD cell activity are currently lacking. Here, we compare statistical model-based and machine learning approaches by assessing decoding accuracy and evaluate variables that contribute to population coding across thalamo-cortical HD cells.

Keywords