Literature DB >> 15716366

Increase of neuronal response variability at higher processing levels as revealed by simultaneous recordings.

A Vogel1, R M Hennig, B Ronacher.   

Abstract

A key problem for neuronal information processing is the variability of spike trains, something that is likely to constrain the encoding of sensory signals. We measured interspike-interval variability (coefficient of variation) as well as spike-count variability (Fano factor) in the metathoracic auditory system of locusts. We performed simultaneous intracellular recordings at the first three processing levels to establish identical physiological conditions. This allows us to assess whether variability is generated anew or is reduced during synaptic transmission and processing. Both the interspike-interval variability as well as the spike-count variability revealed similar trends and showed an increase from the periphery to higher processing levels. This result was confirmed by single-cell recordings. A comparison of ascending interneurons coding for sound direction and those encoding sound patterns showed that the latter respond more reliably to repeated stimulus presentations. In general, the variability of spiking responses was much lower than expected from a Poisson process. Furthermore, we observed a strong dependence of variability on the spike rate, which differed at the three levels investigated. The differences in spike rates account for most of the differences in variability observed between processing levels. For auditory receptors, we found a good agreement between the Fano factor and the squared coefficient of variation, suggesting similarities to a renewal process of spike generation at the periphery. At the level of interneurons, the Fano factor was lower than the squared coefficient of variation; this indicates a higher reliability than expected from the interspike-interval distribution.

Mesh:

Year:  2005        PMID: 15716366     DOI: 10.1152/jn.01288.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  23 in total

1.  Response recovery in the locust auditory pathway.

Authors:  Sarah Wirtssohn; Bernhard Ronacher
Journal:  J Neurophysiol       Date:  2015-11-25       Impact factor: 2.714

2.  Influence of sound pressure level on the processing of amplitude modulations by auditory neurons of the locust.

Authors:  Gerroth Weschke; Bernhard Ronacher
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-12-12       Impact factor: 1.836

3.  Feature extraction and integration underlying perceptual decision making during courtship behavior.

Authors:  Jan Clemens; Bernhard Ronacher
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

4.  Sensory processing in the Drosophila antennal lobe increases reliability and separability of ensemble odor representations.

Authors:  Vikas Bhandawat; Shawn R Olsen; Nathan W Gouwens; Michelle L Schlief; Rachel I Wilson
Journal:  Nat Neurosci       Date:  2007-10-07       Impact factor: 24.884

5.  Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers.

Authors:  Jan Clemens; Gerroth Weschke; Astrid Vogel; Bernhard Ronacher
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-03-07       Impact factor: 1.836

6.  Efficient transformation of an auditory population code in a small sensory system.

Authors:  Jan Clemens; Olaf Kutzki; Bernhard Ronacher; Susanne Schreiber; Sandra Wohlgemuth
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-08       Impact factor: 11.205

Review 7.  Computational themes of peripheral processing in the auditory pathway of insects.

Authors:  K Jannis Hildebrandt; Jan Benda; R Matthias Hennig
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-10-31       Impact factor: 1.836

8.  Temporal integration at consecutive processing stages in the auditory pathway of the grasshopper.

Authors:  Sarah Wirtssohn; Bernhard Ronacher
Journal:  J Neurophysiol       Date:  2015-01-21       Impact factor: 2.714

9.  Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron.

Authors:  Karin Fisch; Tilo Schwalger; Benjamin Lindner; Andreas V M Herz; Jan Benda
Journal:  J Neurosci       Date:  2012-11-28       Impact factor: 6.167

Review 10.  Computational principles underlying recognition of acoustic signals in grasshoppers and crickets.

Authors:  Bernhard Ronacher; R Matthias Hennig; Jan Clemens
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-09-26       Impact factor: 1.836

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