Non-visual environmental imaging and object detection through active electrolocation in weakly electric fish

Emde, Gerhard von der

doi:10.1007/s00359-006-0096-7

Cited by 116 publications

(114 citation statements)

References 52 publications

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“…The third consists of estimating its shape. This hierarchical strategy tends to support some of the conjectures in biology von der Emde (2006). Following Ammari, Boulier, Garnier and Wang (2014), this strategy has been performed by feeding the MUSIC algorithm with a dipolar model of the object's response.…”

Section: Conclusion and Perspectives For Future Researchmentioning

confidence: 99%

Model based estimation of ellipsoidal object using artificial electric sense

Lanneau

Boyer

Lebastard

et al. 2017

The International Journal of Robotics Research

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In this article we address the issue of shape estimation using electric sense inspired by the active electric fish. These fish can perceive their environment by measuring the perturbations in a self-generated electric field caused by nearby objects. The approach proceeded in three stages. Firstly the object was detected and its electric properties (insulator or conductor) identified. Secondly, the object was localized using the MUSIC (MUltiple SIgnal Classification) algorithm, which was originally developed to localize a radio wave emitter using a network of antennas. Thirdly, the shape estimation relied on the concept of generalized polarization tensor (GPT), which enabled modeling the electric response of an object polarized by an ambient electric field. We describe the implementation of the approach through numerous experiments. The system was able to estimate shape with an average error of 16%, and opened the way toward further improvements. In particular, self aligning the sensor with the ellipsoid through a reactive feedback makes the shape estimation errors drop to 10%.

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Section: Conclusion and Perspectives For Future Researchmentioning

confidence: 99%

Model based estimation of ellipsoidal object using artificial electric sense

Lanneau

Boyer

Lebastard

et al. 2017

The International Journal of Robotics Research

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“…The electric signal that results is known as the EOD (Babineau et al, 2006;Kelly et al, 2008;von der Emde et al, 2010), which is an electric field that surrounds the fish and may be detectable at distances of more than 1m around the fish (Fig.1C, inset, black).…”

Section: Introductionmentioning

confidence: 99%

Perception and coding of envelopes in weakly electric fishes

Stamper

Fortune

Chacron

2013

Journal of Experimental Biology

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Summary Natural sensory stimuli have a rich spatiotemporal structure and can often be characterized as a high frequency signal that is independently modulated at lower frequencies. This lower frequency modulation is known as the envelope. Envelopes are commonly found in a variety of sensory signals, such as contrast modulations of visual stimuli and amplitude modulations of auditory stimuli. While psychophysical studies have shown that envelopes can carry information that is essential for perception, how envelope information is processed in the brain is poorly understood. Here we review the behavioral salience and neural mechanisms for the processing of envelopes in the electrosensory system of wave-type gymnotiform weakly electric fishes. These fish can generate envelope signals through movement, interactions of their electric fields in social groups or communication signals. The envelopes that result from the first two behavioral contexts differ in their frequency content, with movement envelopes typically being of lower frequency. Recent behavioral evidence has shown that weakly electric fish respond in robust and stereotypical ways to social envelopes to increase the envelope frequency. Finally, neurophysiological results show how envelopes are processed by peripheral and central electrosensory neurons. Peripheral electrosensory neurons respond to both stimulus and envelope signals. Neurons in the primary hindbrain recipient of these afferents, the electrosensory lateral line lobe (ELL), exhibit heterogeneities in their responses to stimulus and envelope signals. Complete segregation of stimulus and envelope information is achieved in neurons in the target of ELL efferents, the midbrain torus semicircularis (Ts).

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“…These properties include the size, distance, impedance and shape of an object based solely on electric image properties (Budelli and Caputi, 2000;von der Emde, 2006;von der Emde and Fetz, 2007;von der Emde et al, 2010).…”

Section: Sensory Flow In Weakly Electric Fishmentioning

confidence: 99%

Sensory flow shaped by active sensing: sensorimotor strategies in electric fish

Hofmann

Sanguinetti-Scheck

Künzel

et al. 2013

Journal of Experimental Biology

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SummaryGoal-directed behavior in most cases is composed of a sequential order of elementary motor patterns shaped by sensorimotor contingencies. The sensory information acquired thus is structured in both space and time. Here we review the role of motion during the generation of sensory flow focusing on how animals actively shape information by behavioral strategies. We use the well-studied examples of vision in insects and echolocation in bats to describe commonalities of sensory-related behavioral strategies across sensory systems, and evaluate what is currently known about comparable active sensing strategies in electroreception of electric fish. In this sensory system the sensors are dispersed across the animalʼs body and the carrier source emitting energy used for sensing, the electric organ, is moved while the animal moves. Thus ego-motions strongly influence sensory dynamics. We present, for the first time, data of electric flow during natural probing behavior in Gnathonemus petersii (Mormyridae), which provide evidence for this influence. These data reveal a complex interdependency between the physical input to the receptors and the animalʼs movements, posture and objects in its environment. Although research on spatiotemporal dynamics in electrolocation is still in its infancy, the emerging field of dynamical sensory systems analysis in electric fish is a promising approach to the study of the link between movement and acquisition of sensory information.

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Non-visual environmental imaging and object detection through active electrolocation in weakly electric fish

Cited by 116 publications

References 52 publications

Model based estimation of ellipsoidal object using artificial electric sense

Model based estimation of ellipsoidal object using artificial electric sense

Perception and coding of envelopes in weakly electric fishes

Sensory flow shaped by active sensing: sensorimotor strategies in electric fish

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