Electrolocation without an electric image.

IF 1.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Gregory M Lewis, Adam J Callanan, John E Lewis
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引用次数: 0

Abstract

Weakly electric fish sense their environment in the dark using a self-generated electric field. Perturbations in the field caused by different objects are encoded by an array of sensors on their skin. The information content in these perturbations is not entirely clear. Previous work has focused on the so-called electric image (or field perturbation), which is the difference in the field at the skin surface, with and without the object present. Various features of the electric image have been shown to provide information about an object, including location. However, electric image based algorithms require information about the electric field under two qualitatively distinct conditions, and in many situations, prior information about the unperturbed field is not available. Here, we consider the more general problem of object localization with electric sensing when only instantaneous measures of the electric field are available. We show that this problem is solvable when field measurements for two slightly different object locations are considered (such as those occurring during relative motion). In doing so, we provide a direct link between sensory flow (i.e. the moment-to-moment fluctuations in raw sensory input) and electrosensory-based object localization.

没有电成像的电定位。
弱电鱼利用自身产生的电场在黑暗中感知周围环境。由不同物体引起的磁场扰动由皮肤上的传感器阵列进行编码。这些扰动中的信息内容并不完全清楚。以前的工作集中在所谓的电图像(或场扰动)上,这是在有和没有物体存在的情况下,皮肤表面的场的差异。电子图像的各种特征已经被证明可以提供关于物体的信息,包括位置。然而,基于电图像的算法需要两种不同性质条件下的电场信息,并且在许多情况下,无法获得关于未扰动场的先验信息。在这里,我们考虑更一般的问题,目标定位与电传感只有电场的瞬时测量是可用的。我们表明,当考虑到两个略有不同的物体位置的现场测量(例如在相对运动期间发生的测量)时,这个问题是可以解决的。在此过程中,我们提供了感觉流(即原始感觉输入的瞬间波动)和基于电感觉的物体定位之间的直接联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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