Learning and remembering the environment in the blind cave fishAnoptichthys jordani

Teyke, Thomas

doi:10.1007/bf00614508

Cited by 92 publications

(59 citation statements)

References 10 publications

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“…When one considers naturally blind or nocturnal fish, a number of further behaviors in locomotion are associated with the lateral line, such as collision avoidance [75], the ability to map environments [76,8], and to identify detailed characteristics of different physical structures [32]. In general the strong tie between these behaviors and the lateral line is not as noticeable in other sighted fish.…”

Section: Lateral-line-mediated Fish Behaviormentioning

confidence: 99%

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Performance analysis for lateral-line-inspired sensor arrays

Fernández¹

2011

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The lateral line is a critical component of the fish sensory system, found to affect numerous aspects of behavior including maneuvering in complex fluid environments, schooling, prey tracking, and environment mapping. This sensory organ has no analog in modern ocean vehicles, despite its utility and ubiquity in nature, and could fill the gap left by sonar and vision systems in turbid cluttered environments. Yet, while the biological sensory system suggests the broad possibilities associated with such a sensor array, nearly nothing is known of the input processing and what information is available via the real lateral line. This thesis demonstrates and characterizes the ability of lateral-line-inspired linear pressure sensor arrays to perform two sensory tasks of relevance to biological and man-made underwater navigation systems, namely shape identification and vortex tracking.The ability of pressure sensor arrays to emulate the "touch at a distance" feature of the lateral line, corresponding to the latter's capability of identifying the shape of objects remotely, is examined with respect to moving cylinders of different cross sections. Using the pressure distribution on a small linear array, the position and size of a cylinder is tracked at various distances. The classification of cylinder shape is considered separately, using a large database of trials to identify two classification approaches: One based on differences in the mean flow, and one trained on a subset which utilizes information from the wake. The results indicate that it is in general possible to extract specific shape information from measurements on a linear pressure sensor array, and characterize the classes of shapes which are not distinguishable via this method.Identifying the vortices in a flow makes it possible to predict and optimize the performance of flapping foils, and to identify imminent stall in a control surface. Vortices in wakes also provide information about the object that generated the wake at distances much larger than the near-field pressure perturbations. Experimental studies in tracking a vortex pair and an individual vortex interacting with a flat plate demonstrate the ability to track vortices with a linear pressure sensor array from both small streamlined bodies and large flat bodies. Based on a theoretical analysis, the relationship between the necessary array parameters and the range of vortices of interest is established.

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Section: Lateral-line-mediated Fish Behaviormentioning

confidence: 99%

“…The fish lateral line is a versatile short-range sensor organ, involved in mapping environments [76], identifying objects [75,82], tracking prey [16,20], and conserving energy while swimming in wakes [43]. Despite its utility in the natural underwater world, there is currently no analog to the sensor for ships or underwater vehicles.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis for lateral-line-inspired sensor arrays

Fernández¹

2011

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“…In conjunction with previous data showing, for example, the ability of goldfish to maintain a constant environmental direction independently of the entrance point (Ingle & Sahagian, 1973) and their use of landmarks as indirect reference points (Warburton, 1990), the data from the present study indicate a cognitive mapping system like that proposed by O`Keefe and Nadel, for a lower vertebrate group (cf. Aronson, 1951Aronson, , 1971Reese, 1989;Teyke, 1989). This cognitive mechanism could be relevant for fish for traveling in their natural habitat, especially for species that are relatively site attached, such as goldfish and common carp (Reynolds, 1983), or for those that perform repeated migrations to different areas of their habitat (Dodson, 1988;Reese, 1989).…”

Section: Use Of Allocentric and Egocentric Strategies As Revealed By mentioning

confidence: 99%

“…Fishes also show an organized pattern of exploration when they are introduced into a novel environment, indicating some degree of spatial knowledge and memory (Kleerekoper, Matis, Gensler, & Maynard, 1974), and they can detect environmental modifications, reacting with increased exploratory activity (Welker & Welker, 1958). Recently, Teyke (1989) reported that following release in unfamiliar surroundings, or after alteration of a familiar environment, the blind cave fish (Anoptichthys jordani) swim around boundary features and increase their swimming velocity, possibly to optimize lateral line organ stimulation. He proposed that fishes develop an internal map of their environment that allows them to swim at velocities below the optimal range in familiar environments without observable deficits in avoiding obstacles.…”

mentioning

confidence: 99%

Performance of goldfish trained in allocentric and egocentric maze procedures suggests the presence of a cognitive mapping system in fishes

Rodrı́guez

Durán

Vargas

et al. 1994

Animal Learning & Behavior

130

107

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Goldfish were trained to obtain food in a four-arm maze placed in a room with relevant spatial cues. Four experimental conditions were run: allocentric, egocentric, egocentric + allocentric, and control. Relative to controls, all groups were able to solve the different tasks with high accuracy after 1 week of training. Subsequent transfer tests revealed place and response strategies for allocentric and egocentric groups, respectively, and both types of strategies for the ego-allocentric group. Moreover, the allocentric group showed the capacity to choose the appropriate trajectory toward the goal, even from novel starting points, presumably by using the distal cues as a whole. The results suggest that, in addition to using egocentric strategies, goldfish are able to solve spatial tasks on the basis of allocentric frames of reference and to build complex spatial cognitive representations of their environment.Fishes travel across a wide range of distances with surprising efficiency, whether in intercontinental migrations or on excursions within their habitual living areas. These travels indicate remarkable spatial abilities of fishes in navigating, orienting themselves, piloting, and recognizing their environment. Research in this field has been focused mainly on the innate fixed patterns of behavior and on sensory, ecological, and zoological factors. What seems to be underestimated in this research, though, is the possibility that spatial behavior is a flexible process that involves learning and memory mechanisms and cognitive phenomena (for a review, see Dodson, 1988). Such mechanisms are indicated by a number of naturalistic and experimental studies, such as the pioneer work of Aronson (1951Aronson ( , 1971) that showed that the gobiid fish Bathygobius soporator uses learned information about the spatial relationships of tide pools, or topographical memories acquired during exploration, to orient itself accurately. In fact, complex spatial learning and memory capabilities in fishes can be inferred from recent naturalistic studies

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“…Together, these observations suggest that subjects developed a familiarity with the HS and exploration of the alternative refuge site decreased as the animal learned the lower quality of the alternative. Indeed, the reduction of overall activity is typical of many animals introduced to a novel environment (Teyke 1989;Mikheev and Andreev 1993). Across nights, the motivation to explore a once novel environment would necessarily decrease with the growing familiarity.…”

Section: Discussionmentioning

confidence: 99%