Navigation in rivers and streams: how do larval zebrafish hold position in moving water?

Holding position in moving water currents is, similar to gaze stabilization in vision, an important skill for any aquatic animal.

Here we describe a series of experiments that illustrate what algorithms larval zebrafish implement to solve this important problem in various contexts, and we further show results from experiments that strive to dissect the underlying neural circuit structure through which these algorithms are implemented.

We find that the critical computations include spatial and temporal integration of visual and somatosensory signals across distinctly different spatial and temporal scales and we made first inroads in generating explicit biophysically realistic circuit models that are testable with the rapidly expanding technological toolset that the larval zebrafish affords.

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