scholarly journals THE ROLE OF FLOW SENSING BY THE LATERAL LINE SYSTEM IN PREY DETECTION IN TWO AFRICAN CICHLID FISHES

2013 ◽  
Author(s):  
◽  
Margot Anita Schwalbe
Keyword(s):  
Lateral Line ◽  
Lateral Line System ◽  
Prey Detection ◽  
Line System ◽  
Cichlid Fishes ◽  
African Cichlid ◽  
Flow Sensing

Functional morphology of the piper Hyporhamphus ihi with reference to the role of the lateral line in feeding

1985 ◽  
Vol 224 (1235) ◽  
pp. 197-208 ◽  
Keyword(s):  
Visual System ◽  
Functional Morphology ◽  
Lateral Line ◽  
Mandibular Canal ◽  
Lateral Line System ◽  
Prey Detection ◽  
Line System ◽  
Body Form ◽  
Lower Jaw

As a basis for understanding the function of the halfbeak of the piper Hyporhamphus ihi (Phillips), details of the structure and dimensions of the anterior lateral line on the head and lower jaw of the piper are described. The anterior lateral line is composed of a series of cranial canals; the supraorbital–postorbital canal; the suborbital canal; and the preopercular—mandibular canal which extends along the lower jaw. Each canal opens to the surface by a series of pores, and individual neuromasts exist in specialized regions of the canals between each of the pores. Piper are nocturnal plankivores and they possess the feeding structures and digestive tract suited to this diet. The hypothesis is proposed that they use the anterior lateral line system in prey detection, and this paper shows that the piper’s elongate body form, swimming behaviour, and lack of a specialized visual system are all consistent with this hypothesis.

The Mechanosensory Lateral Line System of Cichlid Fishes: From Anatomy to Behavior

2021 ◽  
pp. 401-442 ◽  
Author(s):  
Jacqueline F. Webb ◽  
Karen P. Maruska ◽  
Julie M. Butler ◽  
Margot A. B. Schwalbe
Keyword(s):  
Lateral Line ◽  
Lateral Line System ◽  
Line System ◽  
Cichlid Fishes

Possible Role of the Posterior Lateral Line in Obstacle Entrainment by Brook Trout (Salvelinus fontinalis)

1975 ◽  
Vol 32 (12) ◽  
pp. 2441-2446 ◽  
Author(s):  
A. M. Sutterlin ◽  
Susan Waddy
Keyword(s):  
Lateral Line ◽  
Brook Trout ◽  
Visual Cues ◽  
Salvelinus Fontinalis ◽  
Lateral Line System ◽  
Line System ◽  
Posterior Lateral Line ◽  
Minimum Expenditure ◽  
Lateral Bias

Observations of position holding by brook trout (Salvelinus fontinalis) in a stream channel indicate that they choose specific locations probably related to flow patterns around bottom obstructions. Bilateral denervation of the posterior lateral line system of trout has no effect on their ability to entrain on objects placed in flowing water, providing sufficient visual cues are available. Unilateral ablation resulted in a lateral bias in swimming position relative to the flow obstruction even when visual cues were present. Bilateral denervation of the posterior line system reduced the degree to which trout could entrain on objects when visual cues were omitted. It is suggested that in stream-dwelling fish, such as the brook trout, the lateral line may serve as a detector of flow or pressure discontinuities, enabling the fish to maintain position with minimum expenditure of energy.

scholarly journals Robust Flow Field Signal Estimation Method for Flow Sensing by Underwater Robotics

2021 ◽  
Vol 11 (16) ◽  
pp. 7759
Author(s):  
Xinghua Lin ◽  
Qing Qin ◽  
Xiaoming Wang ◽  
Junxia Zhang
Keyword(s):  
Flow Field ◽  
Lateral Line ◽  
Volterra Series ◽  
Estimation Method ◽  
Lateral Line System ◽  
Signal Estimation ◽  
Underwater Robotics ◽  
Line System ◽  
Flow Sensing ◽  
Predicting Performance

The flow field is difficult to evaluate, and underwater robotics can only partly adapt to the submarine environment. However, fish can sense the complex underwater environment by their lateral line system. In order to reveal the fish flow sensing mechanism, a robust nonlinear signal estimation method based on the Volterra series model with the Kautz kernel function is provided, which is named KKF-VSM. The flow field signal around a square target is used as the original signal. The sinusoidal noise and the signal around a triangular obstacle are considered undesired signals, and the predicting performance of KKF-VSM is analyzed after introducing them locally in the original signals. Compared to the radial basis function neural network model (RBF-NNM), the advantages of KKF-VSM are not only its robustness but also its higher sensitivity to weak signals and its predicting accuracy. It is confirmed that even for strong nonlinear signals, such as pressure responses in the flow field, KKF-VSM is more efficient than the commonly used RBF-NNM. It can provide a reference for the application of the artificial lateral line system on underwater robotics, improving its adaptability in complex environments based on flow field information.

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