Literature DB >> 31818975

Task-Related Sensorimotor Adjustments Increase the Sensory Range in Electrolocation.

Federico Pedraja1, Volker Hofmann1,2, Julie Goulet1, Jacob Engelmann3.   

Abstract

Perception and motor control traditionally are studied separately. However, motor activity can serve as a scaffold to shape the sensory flow. This tight link between motor actions and sensing is particularly evident in active sensory systems. Here, we investigate how the weakly electric mormyrid fish Gnathonemus petersii of undetermined sex structure their sensing and motor behavior while learning a perceptual task. We find systematic adjustments of the motor behavior that correlate with an increased performance. Using a model to compute the electrosensory input, we show that these behavioral adjustments improve the sensory input. As we find low neuronal detection thresholds at the level of medullary electrosensory neurons, it seems that the behavior-driven improvements of the sensory input are highly suitable to overcome the sensory limitations, thereby increasing the sensory range. Our results show that motor control is an active component of sensory learning, demonstrating that a detailed understanding of contribution of motor actions to sensing is needed to understand even seemingly simple behaviors.SIGNIFICANCE STATEMENT Motor-guided sensation and perception are intertwined, with motor behavior serving as a scaffold to shape the sensory input. We characterized how the weakly electric mormyrid fish Gnathonemus petersii, as it learns a perceptual task, restructures its sensorimotor behavior. We find that systematic adjustments of the motor behavior correlate with increased performance and a shift of the sensory attention of the animal. Analyzing the afferent electrosensory input shows that a significant gain in information results from these sensorimotor adjustments. Our results show that motor control can be an active component of sensory learning. Researching the sensory corollaries of motor control thus can be crucial to understand sensory sensation and perception under naturalistic conditions.
Copyright © 2020 the authors.

Entities:  

Keywords:  active sensing; behavior; closed-loop control; electrolocation; electroreceptors; learning

Year:  2019        PMID: 31818975      PMCID: PMC6989011          DOI: 10.1523/JNEUROSCI.1024-19.2019

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  62 in total

1.  Electric images of two low resistance objects in weakly electric fish.

Authors:  Diego Rother; Adriana Migliaro; Rafael Canetti; Leonel Gómez; Angel Caputi; Ruben Budelli
Journal:  Biosystems       Date:  2003-09       Impact factor: 1.973

2.  Receptive field properties of neurons in the electrosensory lateral line lobe of the weakly electric fish, Gnathonemus petersii.

Authors:  Michael G Metzen; Jacob Engelmann; João Bacelo; Kirsty Grant; Gerhard von der Emde
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-10-15       Impact factor: 1.836

Review 3.  Adaptive processing in electrosensory systems: links to cerebellar plasticity and learning.

Authors:  Nathaniel B Sawtell; Curtis C Bell
Journal:  J Physiol Paris       Date:  2008-11-01

4.  Closed-Loop Control of Active Sensing Movements Regulates Sensory Slip.

Authors:  Debojyoti Biswas; Luke A Arend; Sarah A Stamper; Balázs P Vágvölgyi; Eric S Fortune; Noah J Cowan
Journal:  Curr Biol       Date:  2018-11-29       Impact factor: 10.834

Review 5.  Inference in the Brain: Statistics Flowing in Redundant Population Codes.

Authors:  Xaq Pitkow; Dora E Angelaki
Journal:  Neuron       Date:  2017-06-07       Impact factor: 17.173

6.  A syntax of hoverfly flight prototypes.

Authors:  Bart R H Geurten; Roland Kern; Elke Braun; Martin Egelhaaf
Journal:  J Exp Biol       Date:  2010-07-15       Impact factor: 3.312

7.  Locomotor and electric displays associated with electrolocation during exploratory behavior in mormyrid fish.

Authors:  M J Toerring; P Moller
Journal:  Behav Brain Res       Date:  1984-06       Impact factor: 3.332

8.  Neural activity in a hippocampus-like region of the teleost pallium is associated with active sensing and navigation.

Authors:  Haleh Fotowat; Candice Lee; James Jaeyoon Jun; Len Maler
Journal:  Elife       Date:  2019-04-03       Impact factor: 8.140

9.  Local dynamics in decision making: The evolution of preference within and across decisions.

Authors:  Denis O'Hora; Rick Dale; Petri T Piiroinen; Fionnuala Connolly
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

10.  The neural dynamics of sensory focus.

Authors:  Stephen E Clarke; André Longtin; Leonard Maler
Journal:  Nat Commun       Date:  2015-11-09       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.