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Modeling signal and background components of electrosensory scenes
Abstract
Weakly electric fish are able to detect and localize prey based on microvolt-level perturbations in the fish's self-generated electric field. In natural environments, weak prey-related signals are embedded in much stronger electrosensory background noise. To better characterize the signal and background components associated with natural electrolocation tasks, we recorded transdermal voltage modulations in restrained Apteronotus albifrons in response to moving spheres, tail bends, and large nonconducting boundaries. Spherical objects give rise to ipsilateral images with center-surround structure and contralateral images that are weak and diffuse. Tail bends and laterally placed nonconducting boundaries induce relatively strong ipsilateral and contralateral modulations of opposite polarity. We present a computational model of electric field generation and electrosensory image formation that is able to reproduce the key features of these empirically measured signal and background components in a unified framework. The model comprises an array of point sources and sinks distributed along the midline of the fish, which can conform to arbitrary body bends. The model is computationally fast and can be used to estimate the spatiotemporal pattern of activation across the entire electroreceptor array of the fish during natural behaviors.
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“Our framework captures the spatial geometry of the fish and objects (Fig 3 A), using the field model fitted to data in [34].”
From An end-to-end model of active electrosensation (2024) · cites this paper as [34]
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Sensory acquisition in active sensing systems
Nelson, M. E., & MacIver, M. A. (2006) · Journal of Comparative Physiology A · doi:10.1007/s00359-006-0099-4 · Cited by 247
“Empirical measurements indicate that the return signal for the active electric sense falls off approximately as the fourth power of distance for small targets over the behaviorally relevant range of target distances (Chen et al. 2005), similar to geometric spreading effects in other systems.”
BackgroundSelf-citationThe hydrodynamics of ribbon-fin propulsion during impulsive motion
Shirgaonkar, A. A., Curet, O., Patankar, N. A., & MacIver, M. A. (2008) · Journal of Experimental Biology · doi:10.1242/jeb.019224 · Cited by 119
“This may facilitate sensory performance as the body houses the electric field generator, and movement of the tail causes modulations of the field that are more than a factor of 10 larger than prey-related modulations (Chen et al., 2005; Nelson and MacIver, 1999).”
BackgroundOmnidirectional sensory and motor volumes in electric fish
Snyder, J. B., Nelson, M. E., Burdick, J. W., & MacIver, M. A. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050301 · Cited by 112
“(A) Magnitude of the self-generated electric field in water of 35-lS/cm conductivity from an empirically validated computational model [41].”
MethodTemporal Processing Across Multiple Topographic Maps in the Electrosensory System
Krahe, R., Bastian, J., & Chacron, M. J. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90300.2008 · Cited by 110
Self-citationMaler, L. (2009) · The Journal of Comparative Neurology · doi:10.1002/cne.22124 · Cited by 105
Transient Signals Trigger Synchronous Bursts in an Identified Population of Neurons
Marsat, G., Proville, R. D., & Maler, L. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91366.2008 · Cited by 97
Efficient computation via sparse coding in electrosensory neural networks
Chacron, M. J., Longtin, A., & Maler, L. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.016 · Cited by 93
“tail bends) [7], as well as spatially diffuse images caused by conspecifics [8].”
BackgroundSensory flow shaped by active sensing: sensorimotor strategies in electric fish
Hofmann, V., Sanguinetti-Scheck, J. I., Künzel, S., Geurten, B. R. H., Gómez‐Sena, L., & Engelmann, J. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.082420 · Cited by 85
“Although a number of studies have investigated the spatial formation of EIs and the influence of objects within a static electric scene (for a review, see Caputi and Budelli, 2006), information about spatiotemporal EI dynamics is sparse (Babineau et al., 2007; Chen et al., 2005; Hofmann et al., 2013; Sim and Kim, 2011…”
BackgroundInfluentialFotowat, H., Harrison, R. R., & Krahe, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0998-13.2013 · Cited by 88
“DOI:10.1523/JNEUROSCI.0998-13.2013 Copyright © 2013 the authors 0270-6474/13/3313758-15$15.00/0 (Rasnow et al., 1993; Bastian, 1995; Assad et al., 1999; Chen et al., 2005; Yu et al., 2012).”
BackgroundMethodInfluentialSelf-citationBiomimetic and bio-inspired robotics in electric fish research
Neveln, I. D., Bai, Y., Snyder, J. B., Solberg, J. R., Curet, O., Lynch, K., & MacIver, M. A. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.082743 · Cited by 89
Contrast coding in the electrosensory system: parallels with visual computation
Clarke, S. E., Longtin, A., & Maler, L. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4037 · Cited by 84
“…that is greater (such as other organisms and aquatic foliage) or less (such as rocks and wood) than that of the ambient water cause spatially localized increases or decreases, respectively, in the amplitude of the electric field relative to the background intensity caused by the ongoing EOD 4,5 .”
BackgroundSpatial Acuity and Prey Detection in Weakly Electric Fish
Babineau, D., Lewis, J. E., & Longtin, A. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030038 · Cited by 81
“Many recent studies have contributed to our understanding of electrosensory scene analysis [9,26,27,33,34].”
BackgroundModeling the electric field of weakly electric fish
Babineau, D., Longtin, A., & Lewis, J. E. (2006) · Journal of Experimental Biology · doi:10.1242/jeb.02403 · Cited by 77
“Also, the model currently only simulates the EOD potential for a single phase of the EOD cycle [as in other recent models (see, for example, Chen et al., 2005)].”
BackgroundMethodResultInfluentialActive sensing via movement shapes spatiotemporal patterns of sensory feedback
Stamper, S. A., Roth, E., Cowan, N. J., & Fortune, E. S. (2012) · Journal of Experimental Biology · doi:10.1242/jeb.068007 · Cited by 73
“THE JOURNAL OF EXPERIMENTAL BIOLOGY 1573Movement shapes sensory feedback modulations of the strength of the electric field on the ipsilateral and contralateral sides with opposite signs (Chen et al., 2005).”
BackgroundMaler, L. (2009) · The Journal of Comparative Neurology · doi:10.1002/cne.22120 · Cited by 70
“The equations of Chen et al. (2005) are then used to estimate the shape of the electric image induced by this sphere on the fish’s skin.”
BackgroundMethodCoding Conspecific Identity and Motion in the Electric Sense
Yu, N., Hupé, G. J., Garfinkle, C. J., Lewis, J. E., & Longtin, A. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002564 · Cited by 66
“tail movements [35,36].”
Shape recognition and classification in electro-sensing
Ammari, H. M., Boulier, T., Garnier, J. C., & Wang, H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1406513111 · Cited by 62
“Active electro-sensing has driven an increasing number of experimental, behavioral, biological, and computational studies since Lissmann and Machin’s work [11, 12, 15, 17, 23, 24, 30, 36].”
The energetics of electric organ discharge generation in gymnotiform weakly electric fish
Salazar, V. L., Krahe, R., & Lewis, J. E. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.082735 · Cited by 67
Self-citationLimits of Linear Rate Coding of Dynamic Stimuli by Electroreceptor Afferents
Gussin, D. J., Benda, J., & Maler, L. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01243.2006 · Cited by 61
“Apteronotus will scan for prey at velocities (Ͼ10 cm/s) producing stimulus bandwidths ϳ20 –30 Hz; stimulus intensities at the moment of detection are often weak, Ͻ1 V for prey Ͼ2 cm away (Babineau et al. 2006; Bastian 1981a; Chen et al. 2005; Nelson and MacIver 1999).”
BackgroundInfluentialModeling Active Electrolocation in Weakly Electric Fish
Ammari, H. M., Boulier, T., & Garnier, J. C. (2013) · SIAM Journal on Imaging Sciences · doi:10.1137/12086858x · Cited by 60
Electric field interactions in pairs of electric fish: modeling and mimicking naturalistic inputs
Kelly, M., Babineau, D., Longtin, A., & Lewis, J. E. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0218-0 · Cited by 58
“These simple objects, such as spheres or cubes, are known to produce a mexican-hat-shaped electric image, whose peak location, amplitude and width vary systematically with object location relative to the fish for a fixed phase of the EOD cycle (von der Emde 1999; Chen et al. 2005; Babineau et al. 2006; Caputi and Bude…”
BackgroundModeling active electrolocation in weakly electric fishPreprint
Ammari, H. M., Boulier, T., & Garnier, J. C. (2012) · HAL · Cited by 58
Transformations of Electrosensory Encoding Associated with an Adaptive Filter
Sawtell, N. B., & Williams, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4946-07.2008 · Cited by 61
“Changes in the position of electroreceptors relative to the electric organ resulting from movements of the tail cause changes in EOD amplitude that may be substantially larger than those caused by many behaviorally relevant external stimuli (Bastian, 1995; Chen et al., 2005).”
BackgroundPerception and coding of envelopes in weakly electric fishes
Stamper, S. A., Fortune, E. S., & Chacron, M. J. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.082321 · Cited by 54
“The spatial and temporal features of the electric field are complex (Chen et al., 2005) and vary as a function of objects in the environment and the presence of other electric fish (Kelly et al.”
BackgroundFrom sparks to spikes: information processing in the electrosensory systems of fish
Sawtell, N. B., Williams, A., & Bell, C. C. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.06.006 · Cited by 52
“Perturbations in the EOD due to swimming movements of the fish and large objects might be 10 or even 100 times larger than changes induced by prey [36,37].”
BackgroundThe decoding of electrosensory systems
Fortune, E. S. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.06.006 · Cited by 50
“Ramcharitar JU, Tan EW, Fortune ES: Global electrosensory oscillations enhance directional responses of midbrain neurons in Eigenmannia.”
BackgroundInfluentialSawtell, N. B. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105003 · Cited by 56
Convergent Evolution of Mechanically Optimal Locomotion in Aquatic Invertebrates and Vertebrates
Bale, R., Neveln, I. D., Bhalla, A. P. S., MacIver, M. A., & Patankar, N. A. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002123 · Cited by 51
“Finally, because the field generator is in the trunk, movement of the body causes large distortions of the emitted signal, possibly favoring holding the trunk rigid [37,38] rather than using it for propulsion.”
BackgroundWallach, A., Harvey‐Girard, E., Jun, J. J., Longtin, A., & Maler, L. (2018) · eLife · doi:10.7554/elife.36769 · Cited by 53
Electric imaging through active electrolocation: implication for the analysis of complex scenes
Engelmann, J., Bacelo, J., Metzen, M. G., Pusch, R., Bouton, B., Migliaro, A., Caputi, A. A., Budelli, R., Grant, K., & von der Emde, G. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0213-5 · Cited by 47
“Large objects in the environment will produce large, blurred images that will not change when the animal is moving, whereas the electric images of smaller objects (prey) nearby will change to a stronger degree (Babineau et al. 2007; Chen et al. 2005), leaving an “electrical signature” (electric flow) that animals coul…”
BackgroundIntrinsic Frequency Tuning in ELL Pyramidal Cells Varies Across Electrosensory Maps
Mehaffey, W. H., Maler, L., & Turner, R. W. (2008) · Journal of Neurophysiology · doi:10.1152/jn.00028.2008 · Cited by 47
Environment reconstruction and navigation with electric sense based on a Kalman filter
Lebastard, V., Chevallereau, C., Girin, A., Servagent, N., Gossiaux, P.-B., & Boyer, F. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364912470181 · Cited by 44
“1 Analytical model of measurement The sensor is modeled as an array of m+1 spherical conducting electrodes aligned on a rigid line that forms a solid axis [CHKN05].”
Sawtell, N. B., Williams, A., & Bell, C. C. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5302-06.2007 · Cited by 42
“Changes in afferent activity caused by movements may be 10 or even 100 times larger than those induced by prey (Chen et al., 2005).”
BackgroundInterval Coding. II. Dendrite-Dependent Mechanisms
Doiron, B., Oswald, A.-M. M., & Maler, L. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00988.2006 · Cited by 39
“The scale of an " upstroke " in a dynamic electrosensory scene might represent how close the fish is to prey during its hunting scans of the environment (Chen et al. 2005; Nelson and MacIver 1999; D. Babineau, A. Longtin, and J. E. Lewis, unpublished data).”
BackgroundElectric Eels Concentrate Their Electric Field to Induce Involuntary Fatigue in Struggling Prey
Catania, K. C. (2015) · Current Biology · doi:10.1016/j.cub.2015.09.036 · Cited by 38
Middleton, J. W., Longtin, A., Benda, J., & Maler, L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90814.2008 · Cited by 37
Sensory Flow as a Basis for a Novel Distance Cue in Freely Behaving Electric Fish
Hofmann, V., Sanguinetti-Scheck, J. I., Gómez‐Sena, L., & Engelmann, J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1361-16.2016 · Cited by 38
“, 1998) and the half-maximum width of electric images (Lewis and Maler, 2001; Chen et al., 2005), the temporal SAR (Sim and Kim, 2012; Hofmann et al.”
BackgroundInfluentialBhalla, A. P. S., Bale, R., Griffith, B. E., & Patankar, N. A. (2013) · Journal of Computational Physics · doi:10.1016/j.jcp.2013.08.043 · Cited by 35
“Key words: fluid-structure interaction, immersed boundary method, electrolocation, dielectrophoresis, self-assembly, distributed Lagrange multipliers, adaptive mesh refinement, free swimming, knifefish, nanowires”
MethodAdaptive processing in electrosensory systems: Links to cerebellar plasticity and learning
Sawtell, N. B., & Bell, C. C. (2008) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2008.10.009 · Cited by 32
“In the active electrosensory systems of mormyrid and gymnotid fish swimming movements alter the position of the electric organ (located in the tail) relative to the sensory surface and have strong effects on activity in electroreceptors (Bastian, 1995; Chen et al., 2005; Sawtell and Williams, 2008).”
Motor patterns during active electrosensory acquisition
Hofmann, V., Geurten, B. R. H., Sanguinetti-Scheck, J. I., Gómez‐Sena, L., & Engelmann, J. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00186 · Cited by 31
Henninger, J., Krahe, R., Sinz, F. H., & Benda, J. (2020) · Journal of Experimental Biology · doi:10.1242/jeb.206342 · Cited by 31
“Far-field characteristics of EODs The electric near-field of electric fish is asymmetrically distorted along the body axis because of the elongated electric organ (Heiligenberg, 1973; Rasnow and Bower, 1996; Assad et al., 1998, 1999; Stoddard et al., 1999; Chen et al., 2005).”
BackgroundSelf-citationNeural strategies for optimal processing of sensory signals
Maler, L. (2007) · Progress in brain research · doi:10.1016/s0079-6123(06)65009-7 · Cited by 31
MacIver, M. A. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816826.026 · Cited by 30
Speed-invariant encoding of looming object distance requires power law spike rate adaptation
Clarke, S. E., Naud, R., Longtin, A., & Maler, L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1306428110 · Cited by 30
“1B shows data obtained from the recording dipole with an overlay of the expected change in electric potential according to an empirically derived relationship (9).”
BackgroundInfluentialClarke, S. E., Longtin, A., & Maler, L. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4988-13.2014 · Cited by 30
“The modeled physical signal (green) is symmetric with respect to distance (Chen et al., 2005), which we confirmed experimentally (gray).”
BackgroundCollective sensing in electric fish
Pedraja, F., & Sawtell, N. B. (2024) · Nature · doi:10.1038/s41586-024-07157-x · Cited by 29
“Previous studies have shown that the location of the peak of self-images on the skin is a reliable cue for object location, and the spatial profile (for example, width) of self-images provides information about object size, shape and distance 23–25 .”
An internal model for canceling self-generated sensory input in freely behaving electric fish
Wallach, A., & Sawtell, N. B. (2023) · Neuron · doi:10.1016/j.neuron.2023.05.019 · Cited by 26
Electrolocation based on tail-bending movements in weakly electric fish
Sim, M., & Kim, D. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.052308 · Cited by 27
The neural dynamics of sensory focus
Clarke, S. E., Longtin, A., & Maler, L. (2015) · Nature Communications · doi:10.1038/ncomms9764 · Cited by 26
“…transforms EA firing rates to accurately encode Model traces of the electric potential experienced on the skin of the fish for the final 2cm of looming (or first 2cm of receding), caused by brass (yellow) and plastic (grey) spheres with small ( d ¼ 0.64cm) and large ( d ¼ 1.21cm) diameters 9 .”
InfluentialHofmann, V., Sanguinetti-Scheck, J. I., Gómez‐Sena, L., & Engelmann, J. (2012) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2012.06.003 · Cited by 26
“One particular type of motion-related cues is found during the analysis of tail bending motions (Chen et al., 2005; Sim and Kim, 2010).”
InfluentialGómez‐Sena, L., Pedraja, F., Sanguinetti-Scheck, J. I., & Budelli, R. (2014) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2014.08.009 · Cited by 29
“Other groups have validated the model by comparison with analytical methods (Assad et al., 1999; Chen et al., 2005).”
BackgroundMethodInfluentialSensing capacitance of underwater objects in bio-inspired electrosense
Bai, Y., Snyder, J. B., Silverman, Y., Peshkin, M. A., & MacIver, M. A. (2012) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2012.6386174 · Cited by 26
“” Active electrosense has been extensively studied in biology[4], [20] as a model system for understanding how sensory signals are processed by the nervous system.”
BackgroundThe active electrosensory range ofGymnotus omarorum
Pereira, A. C., Aguilera, P. A., & Caputi, A. A. (2012) · Journal of Experimental Biology · doi:10.1242/jeb.070813 · Cited by 25
“Apteronotus (Chen et al., 2005) and also in artificial electrosensoy artifacts (MacIver et al.”
BackgroundMethodResultInfluentialElectrolocation-based underwater obstacle avoidance using wide-field integration methods
Dimble, K. D., Faddy, J. M., & Humbert, J. S. (2014) · Bioinspiration & Biomimetics · doi:10.1088/1748-3182/9/1/016012 · Cited by 24
“However, in closerange situations the dipole approximation does not hold and has to be modelled as a multipole system with one caudal pole and multiple rostral poles [11].”
BackgroundActive Electric Imaging: Body-Object Interplay and Object's “Electric Texture”
Caputi, A. A., Aguilera, P. A., & Pereira, A. C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022793 · Cited by 24
Effects of Sensing Behavior on a Latency Code
Sawtell, N. B., Williams, A., Roberts, P. D., von der Emde, G., & Bell, C. C. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1508-06.2006 · Cited by 23
“LEOD amplitude modulations in a swimming fish would also be characterized by correlations on multiple timescales, resulting from movement of the fish, boundary conditions, and foreground objects (Chen et al., 2005).”
BackgroundOptimal planning for information acquisition
Silverman, Y., Miller, L. M., MacIver, M. A., & Murphey, T. D. (2013) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2013.6697223 · Cited by 23
“[7] describe the effects of spherical objects located in an electric field as”
BackgroundWeak signal amplification and detection by higher-order sensory neurons
Jung, S. N., Longtin, A., & Maler, L. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00811.2015 · Cited by 22
“…the electrosensory system of wave-type gymnotiform fish because of their behavioral sensitivity to very weak electric signals emanating from prey (Chen et al. 2005; Nelson and MacIver 1999) and the extensive knowledge of their low-level electrosensory circuitry (Maler 2009a), but we expect that…”
BackgroundInfluentialJun, J. J., Longtin, A., & Maler, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066596 · Cited by 22
“To improve the accuracy near the wall, the dipole model of the WEF could include the effects of the physically distributed current sources [11,67].”
BackgroundMethodSalisbury, J. P., Sîrbulescu, R. F., Moran, B. M., Auclair, J. R., Zupanc, G. K. H., & Agar, J. N. (2015) · BMC Genomics · doi:10.1186/s12864-015-1354-2 · Cited by 22
“The electric organ discharge is used for orientation and object detection in close vicinity of the fish [12,13], and for communication with conspecifics [7,14-19].”
BackgroundPostlethwaite, C., Psemeneki, T. M., Selimkhanov, J., Silber, M. C., & MacIver, M. A. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0286 · Cited by 20
“One suggested reason is that the trunk carries the electrical emission system of the fish; thus, when the tail bends, there is a large modulation of the sensory receptors on the trunk surface (Bastian 1995; Chen et al. 2005).”
BackgroundShort-Term Synaptic Plasticity Can Enhance Weak Signal Detectability in Nonrenewal Spike Trains
Lüdtke, N., & Nelson, M. E. (2006) · Neural Computation · doi:10.1162/neco.2006.18.12.2879 · Cited by 19
“For the exponent of the power law, a value of α ≈ 4 has been observed in Apteronotus albifrons ( Chen, House, Krahe, & Nelson, 2005 ).”
BackgroundSelf-citationThe Physics of Electrosensory Worlds
Benda, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-805408-6.00016-6 · Cited by 19
Requarth, T., Kaifosh, P., & Sawtell, N. B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2751-14.2014 · Cited by 20
“Movements alter the position of the electric organ relative to electroreceptors and result in changes in the electric field that are as large, or larger, than those attributable to behaviorally relevant stimuli (Bastian, 1995; Chen et al., 2005; Sawtell and Williams, 2008; Fotowat et al., 2013).”
BackgroundElectrosensory Contrast Signals for Interacting Weakly Electric Fish
Yu, N., Hupé, G. J., Longtin, A., & Lewis, J. E. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00036 · Cited by 18
Trajectory optimization for continuous ergodic exploration on the motion group SE(2)
Miller, L. M., & Murphey, T. D. (2013) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2013.6760585 · Cited by 17
“Edu position and orientation dependent [4].”
On the haptic nature of the active electric sense of fish
Caputi, A. A., Aguilera, P. A., Pereira, A. C., & Rodríguez-Cattáneo, A. (2013) · Brain Research · doi:10.1016/j.brainres.2013.05.028 · Cited by 17
“…and temporal characteristics depend on the distribution of impedance (Bacher, 1983; Budelli and Caputi, 2000; Caputi and Budelli, 1995; Caputi et al.,1998; Chen et al., 2005; Heiligenberg, 1973; Lissmann and Machin, 1958; Rasnow, 1996; SanguinettiScheck et al., 2011; Scheich and Bullock, 1974).”
BackgroundInfluentialPrecision measurement of electric organ discharge timing from freely moving weakly electric fish
Jun, J. J., Longtin, A., & Maler, L. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00757.2011 · Cited by 16
“…pulse amplitude depends approximately on the distance from the recording electrodes and the orientation of the fish according to the formula (Chen et al. 2005): ⌽ ͑ r, ͒ ϭ Idcos 4r 2 (1) where I is the current generated by the dipole, d is the length of the dipole, is the angle…”
Strategies of object polarization and their role in electrosensory information gathering
Caputi, A. A., & Aguilera, P. A. (2020) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/ab6782 · Cited by 17
Location and orientation estimation with an electrosense robot
Silverman, Y., Snyder, J. B., Bai, Y., & MacIver, M. A. (2012) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2012.6386167 · Cited by 15
“Past work on electrosense has dealt extensively with object recognition and detection at different salinities [1], [4], [12], but few have tried to tackle the Simultaneous Localizing and Mapping (SLAM) problem using this sensor modality.”
BackgroundModeling the electric image produced by objects with complex impedance in weakly electric fish
Fujita, K., & Kashimori, Y. (2010) · Biological Cybernetics · doi:10.1007/s00422-010-0381-y · Cited by 15
“2.2 Electric image calculation In previous studies, the electric image was calculated using the changes in amplitude modulation of the transdermal voltage (represented as a real number) (Hoshimiya et al. 1980; Chen et al. 2005; Migliaro et al. 2005; Babineau et al. 2006).”
BackgroundMethodResultInfluentialLong-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
Jun, J. J., Longtin, A., & Maler, L. (2014) · Journal of Visualized Experiments · doi:10.3791/50962 · Cited by 15
Motion processing across multiple topographic maps in the electrosensory system
Khosravi‐Hashemi, N., & Chacron, M. J. (2014) · Physiological Reports · doi:10.1002/phy2.253 · Cited by 14
“5 Hz, 5 Hz, 10 Hz, 15 Hz, 20 Hz, and 30 Hz in increasing order assuming a Gaussian electric image of 1 cm standard deviation (Bastian et al. 2002; Chen et al. 2005).”
BackgroundMethodModeling cancelation of periodic inputs with burst-STDP and feedback
Bol, K., Marsat, G., Mejías, J. F., Maler, L., & Longtin, A. (2013) · Neural Networks · doi:10.1016/j.neunet.2012.12.011 · Cited by 13
Dendritic SK channels convert NMDA-R-dependent LTD to burst timing-dependent plasticity
Harvey‐Girard, E., & Maler, L. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00506.2013 · Cited by 13
Balanced ionotropic receptor dynamics support signal estimation via voltage-dependent membrane noise
Marcoux, C. M., Clarke, S. E., Nesse, W. H., Longtin, A., & Maler, L. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00786.2015 · Cited by 13
Neural Noise in Electrocommunication: From Burden to Benefits
Benda, J., Grewe, J., & Krahe, R. (2013) · Animal signals and communication · doi:10.1007/978-3-642-41494-7_12 · Cited by 12
“How the shape and amplitude of electric images look in detail has been studied both experimentally and theoretically (Heiligenberg, 1975; Bastian, 1981; Bacher, 1983; Rasnow, 1986; Chen et al., 2005; Babineau et al., 2006).”
BackgroundInfluentialSelf-citationPeng, J. (2015) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/10/6/066007 · Cited by 12
Pedraja, F., Herzog, H., Engelmann, J., & Jung, S. N. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.718491 · Cited by 11
Active electrolocation in pulse gymnotids: sensory consequences of objects’ mutual polarization
Aguilera, P. A., Pereira, A. C., & Caputi, A. A. (2012) · Journal of Experimental Biology · doi:10.1242/jeb.067223 · Cited by 11
“The characteristics of the field created by this discharge (EOD) depend on the degree of polarization of the elements of the scene – which in turn depend on objects’ impedance in relation to the conductivity of the water and the fish – as well as on the relative position of the elements, and the field geometry (Lissma…”
BackgroundInfluentialShifman, A. R., Longtin, A., & Lewis, J. E. (2015) · Scientific Reports · doi:10.1038/srep15780 · Cited by 10
“The electric organ acts as a current source 26 , and has been described in different ways in previous models 11,18,20 .”
InfluentialHupé, G. J. (2012) · uO Research (University of Ottawa) · doi:10.20381/ruor-5438 · Cited by 10
Electrolocation with an electric organ discharge waveform for biomimetic application
Sim, M., & Kim, D. (2011) · Adaptive Behavior · doi:10.1177/1059712311407215 · Cited by 9
“For simulation, we set the body length equal to 21 cm and fix the electric pole density to 10 poles per cm, following the biological body models (Babineau et al., 2006; Chen et al., 2005).”
BackgroundMethodInfluentialRepresentation of object’s shape by multiple electric images in electrolocation
Fujita, K., & Kashimori, Y. (2019) · Biological Cybernetics · doi:10.1007/s00422-018-00790-6 · Cited by 9
Neural readout of a latency code in the active electrosensory system
Perks, K. E., & Sawtell, N. B. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110605 · Cited by 9
Biological smart sensing strategies in weakly electric fish
Nelson, M. E. (2011) · Smart Structures and Systems · doi:10.12989/sss.2011.8.1.107 · Cited by 8
“At large distances of more than a body length, the peak intensity falls approximately as d-4, where d is the distance from the midline of the body (Chen et al. 2005).”
BackgroundSelf-citationElectrolocation of multiple objects based on temporal sweep motions
Sim, M., & Kim, D. (2012) · Adaptive Behavior · doi:10.1177/1059712311435797 · Cited by 7
“These electric poles are arranged along the mid-line of the fish at uniform intervals of 0.1 cm (Chen et al., 2005; Sim & Kim, 2011b).”
BackgroundMethodInfluentialEngelmann, J., Walther, T., Grant, K., Chicca, E., & Gómez‐Sena, L. (2016) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/11/5/055007 · Cited by 6
Sensory Flow as a Basis for a Novel Distance Cue in Freely Behaving Electric Fish
Hofmann, V., Sanguinetti-Scheck, J. I., Gómez‐Sena, L., & Engelmann, J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1361-16.2017 · Cited by 5
Electrolocation and Electrocommunication ☆
Maler, L. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.02451-2 · Cited by 5
Spatiotemporal model for depth perception in electric sensing
Pourziaei, B., Lewis, G. M., Huang, H., & Lewis, J. E. (2018) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2018.10.023 · Cited by 5
Sawtell, N. B., & Bell, C. C. (2012) · Springer eBooks · doi:10.1007/978-94-007-1333-8_55 · Cited by 4
Illumination mediates a switch in both active sensing and control in weakly electric fishPreprint
Yeh, H., Yang, Y. J., Biswas, D., & Cowan, N. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.15.618597 · Cited by 4
“Specifically, tail bending induces changes in the relative geometry between the electrosensory organ and the electroreceptor, which generally causes an amplitude modulation: a stronger electric field on the ipsilateral side of bending while a weaker stimulation on the contralateral side [52, 53].”
BackgroundMinimal sensor arrays for localizing objects using an electric sense
Pourziaei, B., Lewis, G. M., & Lewis, J. E. (2022) · Physical Biology · doi:10.1088/1478-3975/ac75a5 · Cited by 3
“Note also that this result applies to electric fish as their unperturbed electric field is well described by a line of point charges [15].”
InfluentialElectro-sensing of inhomogeneous targets
Scapin, A. (2018) · Journal of Mathematical Analysis and Applications · doi:10.1016/j.jmaa.2018.12.027 · Cited by 3
“In fact, active electro-sensing has motivated an increasing number of experimental, behavioral, biological, and computational studies since Lissmann and Machins work [12, 13, 16, 18, 23, 24, 27, 28].”
BackgroundElectrocommunication for weakly electric fish
Scapin, A. (2019) · Inverse Problems and Imaging · doi:10.3934/ipi.2019065 · Cited by 3
“A lot of effort has also been devoted to the electro-sensing problem, that is, the capability of the animal to detect and recognize a dielectric target nearby [26, 31, 8, 9, 12, 16, 27, 28, 32, 35, 36, 37].”
BackgroundBehavioural Syndromes: Implications for Electrocommunication in a Weakly Electric Fish Species
Shank, I. (2013) · uO Research (University of Ottawa) · doi:10.20381/ruor-3010 · Cited by 3
“The electrode tips were exposed differentially (1mm at the tail & 1 cm at the head) and were separated by 2.5 cm to reproduce the asymmetrical electric field geometry that occurs along the rostral to caudal axis in real fish (Assad et al., 1999; Chen et al., 2005; Babineau et al., 2006; Hupé, 2012).”
InfluentialThe sensory-effector cycle, contributions from a native species
Borde, M., & Caputi, A. A. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.02.015 · Cited by 2
The Active Electric Sense of Pulse Gymnotiformes
Caputi, A. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.24200-4 · Cited by 3
Waveform Sensors: The Next Challenge in Biomimetic Electroreception
Pereira, A. C. (2017) · International Journal of Biosensors & Bioelectronics · doi:10.15406/ijbsbe.2017.02.00047 · Cited by 1
“As the self-generated electric field attenuates with a power function of distance [16,21,24,25], these object-emitted signals also decay with a power function of distance.”
Background
Metadata
- Authors
- Chen, L., House, J. L., Krahe, R., & Nelson, M. E.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Nelson, Mark E.
- ORCID
- Nelson, Mark E.
- Venue
- Journal of Comparative Physiology A
- Published
- 2004-12-17
- Volume
- 191
- Issue
- 4
- Pages
- 331-345
- ISSN
- 0340-7594 (ISSN-L)
- 1432-1351
- OpenAlex
- W1969494732
- Cited by
- 142
- References
- 49
- Citations by year
- 2025: 5 · 2024: 11 · 2023: 5 · 2022: 4 · 2021: 4 · 2020: 5 · 2019: 6 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 9 · 2014: 10 · 2013: 18 · 2012: 13
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Comparative Physiology A (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- National Institute of Mental Health (R01-MH49242, R01MH049242)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish biology, ecology, and behavior
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant and Biological Electrophysiology Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Electromagnetic Fields and Biological Effects
- Keywords
- weakly electric fish, electrolocation, Apteronotus albifrons, prey detection, electric field generation, computational model
- MeSH terms
- Animals, Electric Organ, Electrophysiology, Field Dependence-Independence, Membrane Potentials, Models, Biological, Perception, Sensory Receptor Cells, Computational Biology, Gymnotiformes
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