title: Encoding electric signals by Gymnotus omarorum: heuristic modeling of tuberous electroreceptor organs.
abstract: The role of different substructures of electroreceptor organs in signal encoding was explored using a heuristic computational model. This model consists of four modules representing the pre-receptor structures, the transducer cells, the synapses and the afferent fiber, respectively. Simulations reproduced previously obtained experimental data. We showed that different electroreceptor types described in the literature can be qualitative modeled with the same set of equations by changing only two parameters, one affecting the filtering properties of the pre-receptor, and the other affecting the transducer module. We studied the responses of different electroreceptor types to natural stimuli using simulations derived from an experimentally-obtained database in which the fish were exposed to resistive or capacitive objects. Our results indicate that phase and frequency spectra are differentially encoded by different subpopulations of tuberous electroreceptors. A different type of receptor responses to the same input is a necessary condition for encoding a multidimensional space of stimuli as in the waveform of the EOD. Our simulation analysis suggested that the electroreceptive mosaic may perform a waveform analysis of electrosensory signals. As in color vision or tactile texture perception, a secondary attribute, "electric color" may be encoded as a parallel activity of various electroreceptor types. This article is part of a Special Issue entitled Neural Coding.
authors.affiliation: Instituto de Investigaciones Biológicas Clemente Estable, Av. Italia 3318 Montevideo, Uruguay.
authors.forename: Esteban R
authors.initials: ER
authors.lastname: Cilleruelo
authors.forename: Angel Ariel
authors.initials: AA
authors.lastname: Caputi
mesh_terms: D000818:Animals; D004555:Electric Fish; D004557:Electric Organ / Q000502:physiology*; D004558:Electric Stimulation / Q000379:methods; D023702:Gymnotiformes / Q000502:physiology*; D008959:Models, Neurological; D055366:Synaptic Potentials / Q000502:physiology*