Kinematics of the ribbon fin in hovering and swimming of the electric ghost knifefish

• Published in: Journal of experimental biology Vol. 216; no. Pt 5; pp. 823 - 834
• Main Authors: Ruiz-Torres, Ricardo, Curet, Oscar M., Lauder, George V., MacIver, Malcolm A.
• Format: Journal Article
• Language: English
• Published: England 01.03.2013
• Subjects: Animal Fins - physiology; Animals; Biomechanical Phenomena; Central Pattern Generators - physiology; Gait; Gymnotiformes - physiology; Models, Theoretical; Movement; Swimming; Videotape Recording
• DOI: 10.1242/jeb.076471
• ISSN: 0022-0949; 1477-9145

Weakly electric knifefish are exceptionally maneuverable swimmers. In prior work, we have shown that they are able to move their entire body omnidirectionally so that they can rapidly reach prey up to several centimeters away. Consequently, in addition to being a focus of efforts to understand the neural basis of sensory signal processing in vertebrates, knifefish are increasingly the subject of biomechanical analysis to understand the coupling of signal acquisition and biomechanics. Here, we focus on a key subset of the knifefish's omnidirectional mechanical abilities: hovering in place, and swimming forward at variable speed. Using high speed video and a markerless motion capture system to capture fin position, we show that hovering is achieved by generating two traveling waves, one from the caudal edge of the fin, and one from the rostral edge, moving toward each other. These two traveling waves overlap at a nodal point near the center of the fin, cancelling fore-aft propulsion. During forward swimming at low velocities, the caudal region of the fin continues to have counter-propagating waves, directly retarding forward movement. The gait transition from hovering to forward swimming is accompanied by a shift in the nodal point toward the caudal end of the fin. While frequency varies significantly to increase speed at low velocities, beyond about one body length per second, the frequency stays near 10~Hz, and amplitude modulation becomes more prominent despite its higher energetic costs. A coupled central pattern generator model is able to reproduce qualitative features of fin motion and suggest hypotheses regarding the fin's neural control.