Spatial gradients and multidimensional dynamics in a neural integrator circuit Academic Article uri icon


MeSH Major

  • Eye Movements
  • Nerve Net
  • Neurons
  • Nonlinear Dynamics


  • In a neural integrator, the variability and topographical organization of neuronal firing-rate persistence can provide information about the circuit's functional architecture. We used optical recording to measure the time constant of decay of persistent firing (persistence time) across a population of neurons comprising the larval zebrafish oculomotor velocity-to-position neural integrator. We found extensive persistence time variation (tenfold; coefficients of variation = 0.58-1.20) across cells in individual larvae. We also found that the similarity in firing between two neurons decreased as the distance between them increased and that a gradient in persistence time was mapped along the rostrocaudal and dorsoventral axes. This topography is consistent with the emergence of persistence time heterogeneity from a circuit architecture in which nearby neurons are more strongly interconnected than distant ones. Integrator circuit models characterized by multiple dimensions of slow firing-rate dynamics can account for our results.

publication date

  • September 2011



  • Academic Article



  • eng

PubMed Central ID

  • PMC3624014

Digital Object Identifier (DOI)

  • 10.1038/nn.2888

PubMed ID

  • 21857656

Additional Document Info

start page

  • 1150

end page

  • 9


  • 14


  • 9