Literature DB >> 35540945

Quantitative Characterization of Output from the Directionally Selective Visual Interneuron H1 in the Grey Flesh Fly Sarcophaga bullata.

Alan Gelperin1, Anthony E Ambrosini1.   

Abstract

H1, a very well-studied insect visual interneuron, has a panoramic receptive field and is directionally selective in responding to optic flow. The synaptic basis for the directional selectivity of the H1 neuron has been studied using both theoretical and cellular approaches. Extracellular single-unit recordings are readily obtained by beginning students using commercially available adults of the grey flesh fly Sarcophaga bullata. We describe an apparatus which allows students to present a series of moving visual stimuli to the eye of the restrained, minimally dissected adult Sarcophaga, while recording both the single unit responses of the H1 neuron and the position and velocity of the moving stimulus. Students obtain quantitative and reproducible responses of H1, probing the response properties of the neuron by modulating stimulus parameters such as: direction and speed of movement, visual contrast, spatial wavelength, or the extent of the visual field occupied. Students learn to perform quantitative analysis of their data and to generate graphical representations of their results characterizing the tuning and receptive field of this neuron. This exercise demonstrates the utility of single unit recording of an identified interneuron in an awake restrained insect and promotes interpretation of these results in terms of the visual stimuli normally encountered by freely flying flies in their natural environment.
Copyright © 2021 Faculty for Undergraduate Neuroscience.

Entities:  

Keywords:  Sarcophaga bullata; fly visual system; sensory processing; undergraduate laboratory exercises; visual optic flow

Year:  2021        PMID: 35540945      PMCID: PMC9053427     

Source DB:  PubMed          Journal:  J Undergrad Neurosci Educ        ISSN: 1544-2896


  55 in total

1.  Outdoor performance of a motion-sensitive neuron in the blowfly.

Authors:  M Egelhaaf; J Grewe; R Kern; A K Warzecha
Journal:  Vision Res       Date:  2001-12       Impact factor: 1.886

2.  Function and coding in the blowfly H1 neuron during naturalistic optic flow.

Authors:  J H van Hateren; R Kern; G Schwerdtfeger; M Egelhaaf
Journal:  J Neurosci       Date:  2005-04-27       Impact factor: 6.167

Review 3.  Electrophysiological Recordings from Lobula Plate Tangential Cells in Drosophila.

Authors:  Alex S Mauss; Alexander Borst
Journal:  Methods Mol Biol       Date:  2016

4.  Impact and sources of neuronal variability in the fly's motion vision pathway.

Authors:  Anne-Kathrin Warzecha; Ronny Rosner; Jan Grewe
Journal:  J Physiol Paris       Date:  2012-11-22

5.  Object tracking in motion-blind flies.

Authors:  Armin Bahl; Georg Ammer; Tabea Schilling; Alexander Borst
Journal:  Nat Neurosci       Date:  2013-04-28       Impact factor: 24.884

Review 6.  Motion-detecting circuits in flies: coming into view.

Authors:  Marion Silies; Daryl M Gohl; Thomas R Clandinin
Journal:  Annu Rev Neurosci       Date:  2014       Impact factor: 12.449

7.  Visual determinants of prey chasing behavior in a mudflat crab.

Authors:  Brian Gancedo; Carla Salido; Daniel Tomsic
Journal:  J Exp Biol       Date:  2020-03-25       Impact factor: 3.312

8.  A preparation of the blowfly (Calliphora erythrocephala) brain for in vitro electrophysiological and pharmacological studies.

Authors:  T M Brotz; M Egelhaaf; A Borst
Journal:  J Neurosci Methods       Date:  1995-03       Impact factor: 2.390

9.  Building Your Own Neuroscience Equipment: A Precision Micromanipulator and an Epi-fluorescence Microscope for Calcium Imaging.

Authors:  James Ryan; Bruce R Johnson; David Deitcher
Journal:  J Undergrad Neurosci Educ       Date:  2020-12-31

10.  Retinal optic flow during natural locomotion.

Authors:  Jonathan Samir Matthis; Karl S Muller; Kathryn L Bonnen; Mary M Hayhoe
Journal:  PLoS Comput Biol       Date:  2022-02-22       Impact factor: 4.475

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  1 in total

1.  Continued Challenges for Neuroscience Education During the COVID-19 Pandemic.

Authors:  Raddy L Ramos
Journal:  J Undergrad Neurosci Educ       Date:  2021-12-24
  1 in total

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