Abstract

Identifying and understanding the current sources that give rise to bioelectric fields is a fundamental problem in the biological sciences. It is very difficult, for example, to attribute the time-varying features of an electroencephalogram recorded from the head surface to the neural activity of specific brain areas; model systems can provide important insight into such problems. Some species of fish actively generate an oscillating (c. 1000 Hz) quasi-dipole electric field to communicate and sense their environment in the dark. A specialized electric organ comprises neuron-like cells whose collective signal underlies this electric field. As a step towards understanding the detailed biophysics of signal generation in these fish, we use an anatomically-detailed finite-element modelling approach to reverse-engineer the electric organ signal over one oscillation cycle. We find that the spatiotemporal profile of current along the electric organ constitutes a travelling wave that is well-described by two spatial Fourier components varying in time. The conduction velocity of this wave is faster than action potential conduction in any known neuronal axon (>200 m/s), suggesting that the spatiotemporal features of high-frequency electric organ discharges are not constrained by the conduction velocities of spinal neuron pathways.

Highlights

  • Identifying and understanding the current sources that give rise to bioelectric fields is a fundamental problem in the biological sciences

  • Myogenic electric organ discharge (EOD), which are found in most species, are generated by large electrocytes activated by spinal neurons via neuromuscular-like chemical synapses

  • On the other hand, about high-frequency wave-type fish whose neurogenic EOD is generated by thin neuron-like electrocytes that are activated by spinal projection neurons via direct electrical connections[26,27]

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Summary

Introduction

Identifying and understanding the current sources that give rise to bioelectric fields is a fundamental problem in the biological sciences It is very difficult, for example, to attribute the time-varying features of an electroencephalogram recorded from the head surface to the neural activity of specific brain areas; model systems can provide important insight into such problems. Pedraja et al.[24] made measurements of current flow at distinct points on the fish’s skin to constrain such a model They described a diversity of spatiotemporal signal complexity across different species, while inferring the associated internal current sources. On the other hand, about high-frequency wave-type fish whose neurogenic EOD is generated by thin neuron-like electrocytes that are activated by spinal projection neurons via direct electrical connections[26,27]

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