Literature DB >> 2593005

Multiple electrosensory maps in the medulla of weakly electric gymnotiform fish. I. Physiological differences.

C A Shumway1.   

Abstract

The electrosensory lateral line lobe in the weakly electric gymnotiform fish Eigenmannia contains 3 topographic maps of high-frequency (tuberous) electroreceptive information from the body surface. The maps receive identical primary afferent input since axonal collaterals of both amplitude- and phase-coding afferents project to all 3 maps (Heiligenberg and Dye, 1982). Response properties of the amplitude-coding pyramidal neurons in the multiple maps were investigated in order to determine whether the maps differ physiologically. Units in the lateral map have larger receptive fields and are more sensitive than units in the centromedial map. The former units respond more phasically and with shorter latencies to step changes in stimulus amplitude (measured from the stimulus onset to the maximum response). Although 75% of pyramidal cells in all maps show a center-surround receptive-field organization, the strength of the inhibitory surround varies among maps, tending to be weakest for units in the lateral map and strongest for units in the centromedial map. Pyramidal neurons also differ in their responses with respect to the temporal frequency of amplitude modulations; the majority of units in the lateral map prefer high temporal frequencies, while those in the centromedial map prefer low frequencies. These results suggest that the multiple electrosensory maps could provide the initial separation of spatial and temporal processing of sensory information, much as has been suggested for X and Y ganglion cells in the cat retina (Shapley and Perry, 1986). The centromedial map could provide high spatial contrast with correspondingly poor temporal resolution, while the more sensitive units in the lateral map could best provide information about temporal changes in stimulus amplitude.

Entities:  

Mesh:

Year:  1989        PMID: 2593005      PMCID: PMC6569630     

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


  43 in total

1.  Neuronal population codes and the perception of object distance in weakly electric fish.

Authors:  J E Lewis; L Maler
Journal:  J Neurosci       Date:  2001-04-15       Impact factor: 6.167

2.  Stimulus encoding and feature extraction by multiple sensory neurons.

Authors:  Rüdiger Krahe; Gabriel Kreiman; Fabrizio Gabbiani; Christof Koch; Walter Metzner
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

3.  Receptive field organization determines pyramidal cell stimulus-encoding capability and spatial stimulus selectivity.

Authors:  Joseph Bastian; Maurice J Chacron; Leonard Maler
Journal:  J Neurosci       Date:  2002-06-01       Impact factor: 6.167

4.  Nonrenewal statistics of electrosensory afferent spike trains: implications for the detection of weak sensory signals.

Authors:  R Ratnam; M E Nelson
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

5.  Short-term synaptic plasticity contributes to the temporal filtering of electrosensory information.

Authors:  E S Fortune; G J Rose
Journal:  J Neurosci       Date:  2000-09-15       Impact factor: 6.167

6.  Continuous detection of weak sensory signals in afferent spike trains: the role of anti-correlated interspike intervals in detection performance.

Authors:  J B M Goense; R Ratnam
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-08-14       Impact factor: 1.836

7.  Inhibition of SK and M channel-mediated currents by 5-HT enables parallel processing by bursts and isolated spikes.

Authors:  Tara Deemyad; Leonard Maler; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2011-01-05       Impact factor: 2.714

8.  Neural heterogeneities and stimulus properties affect burst coding in vivo.

Authors:  O Avila-Akerberg; R Krahe; M J Chacron
Journal:  Neuroscience       Date:  2010-03-15       Impact factor: 3.590

9.  Electroreceptor neuron dynamics shape information transmission.

Authors:  Maurice J Chacron; Leonard Maler; Joseph Bastian
Journal:  Nat Neurosci       Date:  2005-04-03       Impact factor: 24.884

10.  Modeling signal and background components of electrosensory scenes.

Authors:  Ling Chen; Jonathan L House; Rüdiger Krahe; Mark E Nelson
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-12-17       Impact factor: 1.836

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.