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The Journal of Neuroscience, April 15, 2000, 20(8):3041-3056

Modeling of Spontaneous Activity in Developing Spinal Cord Using Activity-Dependent Depression in an Excitatory Network

Joël Tabak¹, Walter Senn², Michael J. O'Donovan¹, and John Rinzel³

¹ Laboratory of Neural Control, National Institute of Neurological Diseases and Stroke/National Institutes of Health, Bethesda, Maryland 20892, ² Physiologisches Institut, Universität Bern, CH-3012 Bern, Switzerland, and ³ Center for Neural Science and Courant Institute of Mathematical Sciences, New York University, New York, New York 10003

Spontaneous episodic activity is a general feature of developing neural networks. In the chick spinal cord, the activity comprises episodes of rhythmic discharge (duration 5-90 sec; cycle rate 0.1-2 Hz) that recur every 2-30 min. The activity does not depend on specialized connectivity or intrinsic bursting neurons and is generated by a network of functionally excitatory connections. Here, we develop an idealized, qualitative model of a homogeneous, excitatory recurrent network that could account for the multiple time-scale spontaneous activity in the embryonic chick spinal cord. We show that cycling can arise from the interplay between excitatory connectivity and fast synaptic depression. The slow episodic behavior is attributable to a slow activity-dependent network depression that is modeled either as a modulation of cellular excitability or as synaptic depression. Although the two descriptions share many features, the model with a slow synaptic depression accounts better for the experimental observations during blockade of excitatory synapses.

Key words: spontaneous activity; oscillations; depression; developing spinal network; recurrent excitation; rate model

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Copyright © 2000 Society for Neuroscience  0270-6474/00/2083041-16$05.00/0

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