Abstract

Many neural systems can store short-term information in persistently firing neurons. Such persistent activity is believed to be maintained by recurrent feedback among neurons. This hypothesis has been fleshed out in detail for the oculomotor integrator (OI) for which the so-called “line attractor” network model can explain a large set of observations. Here we show that there is a plethora of such models, distinguished by the relative strength of recurrent excitation and inhibition. In each model, the firing rates of the neurons relax toward the persistent activity states. The dynamics of relaxation can be quite different, however, and depend on the levels of recurrent excitation and inhibition. To identify the correct model, we directly measure these relaxation dynamics by performing optogenetic perturbations in the OI of zebrafish expressing halorhodopsin or channelrhodopsin. We show that instantaneous, inhibitory stimulations of the OI lead to persistent, centripetal eye position changes ipsilateral to the stimulation. Excitatory stimulations similarly cause centripetal eye position changes, yet only contralateral to the stimulation. These results show that the dynamics of the OI are organized around a central attractor state—the null position of the eyes—which stabilizes the system against random perturbations. Our results pose new constraints on the circuit connectivity of the system and provide new insights into the mechanisms underlying persistent activity.

Highlights

  • Neural activity deep within the nervous system or close to the motor periphery is largely driven by a combination of intrinsic neuronal properties and recurrent feedback among neurons

  • The larvae were mutant for the mitfa/nacre gene, which rendered the skin transparent and facilitated fiber optic stimulation as well as eye position detection

  • Adult fish were either transgenic for Et(E1b:Gal4)s1101t or for the optogenetic responders, since keeping optogenetic expressors in the s1101t line would have resulted in variegation of the expression

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Summary

Introduction

Neural activity deep within the nervous system or close to the motor periphery is largely driven by a combination of intrinsic neuronal properties and recurrent feedback among neurons Such activity is almost always dynamic, changing either fast, as in central pattern or sequence generators (Marder and Bucher, 2001; Hahnloser et al, 2002), or slowly, as in the neural integrators that have been found at many levels of the nervous system (Robinson, 1968; Pastor et al, 1994; Gold and Shadlen, 2001; Wong et al, 2007; Goldman et al, 2009). Neurons in the OI are persistently active with a discharge rate that is directly proportional to the horizontal eye position (Lopez-Barneo et al, 1982; Delgado-García et al, 1989; Fukushima et al, 1992; McFarland and Fuchs, 1992; Aksay et al, 2000). Several candidate mechanisms were pointed out Frontiers in Neural Circuits www.frontiersin.org

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