Literature DB >> 16870735

Robust integration of motion information in the fly visual system revealed by single cell photoablation.

Julia Kalb1, Martin Egelhaaf, Rafael Kurtz.   

Abstract

In the brain, sensory information needs often to be read out from the ensemble activity of presynaptic neurons. In the most basic case, this may be accomplished by an individual postsynaptic neuron. In the visual system of the blowfly, an identified motion-sensitive spiking neuron is known to be postsynaptic to an ensemble of graded-potential presynaptic input elements. Both the presynaptic and postsynaptic neurons were shown previously to be capable of representing the velocity of preferred-direction motion reliably and linearly over a large frequency range of velocity fluctuations. Accordingly, the synaptic transfer properties of the connecting excitatory synapses between individual input elements and the postsynaptic neuron were shown to be linear over a similar range of presynaptic membrane potential fluctuations. It was not known, however, how the postsynaptic neuron integrates and reads out the presynaptic ensemble activity. We were able to compare the response properties of the integrating cell before and after eliminating individual presynaptic elements by a laser ablation technique. For most of the input elements, we found that their elimination strongly affected the activity of the postsynaptic neuron but did not degrade its performance to encode motion with constant and time-varying velocity. Our results suggest that the integration of individual synaptic inputs within the neural circuit operates with some redundancy. This feature might help the postsynaptic neuron to encode in a highly robust way the direction and the velocity of self-motion of the animal.

Mesh:

Year:  2006        PMID: 16870735      PMCID: PMC6674221          DOI: 10.1523/JNEUROSCI.1327-06.2006

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


  5 in total

1.  Optimal motor control may mask sensory dynamics.

Authors:  Sean G Carver; Tim Kiemel; Noah J Cowan; John J Jeka
Journal:  Biol Cybern       Date:  2009-05-01       Impact factor: 2.086

2.  Neural action fields for optic flow based navigation: a simulation study of the fly lobula plate network.

Authors:  Alexander Borst; Franz Weber
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

3.  Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action.

Authors:  Martin Egelhaaf; Norbert Boeddeker; Roland Kern; Rafael Kurtz; Jens P Lindemann
Journal:  Front Neural Circuits       Date:  2012-12-20       Impact factor: 3.492

4.  Reciprocal inhibitory connections within a neural network for rotational optic-flow processing.

Authors:  Juergen Haag; Alexander Borst
Journal:  Front Neurosci       Date:  2007-10-15       Impact factor: 4.677

5.  Neural basis of stimulus-angle-dependent motor control of wind-elicited walking behavior in the cricket Gryllus bimaculatus.

Authors:  Momoko Oe; Hiroto Ogawa
Journal:  PLoS One       Date:  2013-11-14       Impact factor: 3.240

  5 in total

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