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Resources » Paper

Ferree TC et al. (1997) International C. elegans Meeting "Mathematical analysis of neural networks for chemotaxis in C. elegans"

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    Status:
    Publication type:
    Meeting_abstract
    WormBase ID:
    WBPaper00022274

    Ferree TC, & Lockery SR (1997). Mathematical analysis of neural networks for chemotaxis in C. elegans presented in International C. elegans Meeting. Unpublished information; cite only with author permission.

    C. elegans moves up a gradient of chemical attractant (chemotaxis) using chemosensory neurons at the tip of the nose. Laser ablations[1,2] and anatomical data[3] indicate that chemosensory information is processed by a highly interconnected neural network of sensory neurons, interneurons and motor neurons. Patch-clamp recordings from neurons in the nerve ring show that graded potentials, rather than action potentials, are the main kind of electrical signal[4]. To determine how a network of graded-potential neurons steers worms up gradients, we constructed an idealized model chemotaxis network of linear neurons (the simplest kind of graded-potential neurons), which controls the behavior of a simulated worm. Analyzing the model network using linear systems theory, we found that the model produced chemotaxis by altering neck angle, and thus rate of turning R, as a function of chemosensory input, according to the equation R = k1 + k2 C + k3 dC/dt, where k1, k2 and k3 are constants, and C is the chemical concentration at the tip of the nose. Thus, the model predicts that in real worms, chemotaxis may be controlled by turning in response to absolute concentration and its time derivative. We are testing this prediction by tracking worms in measured concentration gradients. We are also testing the robustness of the model network by asking whether it can control taxis behavior in a freely moving robot. 1. Bargmann, C., and H. R. Horvitz (1991). Neuron 7:729-742. 2. Bargmann, C., unpublished. 3. White, J. G., E. Southgate, J. N. Thompson and S. Brenner (1986). Phil. Trans. R. Soc. London 314: 1-340. 4. Lockery, S. R., and M. B. Goodman, unpublished.

    Affiliation:
    - Institute of Neuroscience University of Oregon Eugene, OR 97403 USA


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