ZFIN ID: ZDB-PUB-110823-21
Spatial gradients and multidimensional dynamics in a neural integrator circuit
Miri, A., Daie, K., Arrenberg, A.B., Baier, H., Aksay, E., and Tank, D.W.
Date: 2011
Source: Nature Neuroscience   14(9): 1150-9 (Journal)
Registered Authors: Arrenberg, Aristides, Baier, Herwig
Keywords: none
MeSH Terms:
  • Action Potentials
  • Animals
  • Animals, Genetically Modified
  • Brain Stem/cytology
  • Calcium/metabolism
  • Computer Simulation
  • Eye Movements/genetics
  • Eye Movements/physiology*
  • Functional Laterality
  • Gene Expression Regulation/genetics
  • Gene Expression Regulation/physiology
  • Larva
  • Light
  • Microphthalmia-Associated Transcription Factor/deficiency
  • Models, Neurological
  • Nerve Net/physiology*
  • Neurons/physiology*
  • Nonlinear Dynamics*
  • Photic Stimulation/methods
  • Time Factors
  • Zebrafish
  • Zebrafish Proteins/deficiency
  • Zebrafish Proteins/genetics
PubMed: 21857656 Full text @ Nat. Neurosci.
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.