Literature DB >> 19244538

The origin of adaptation in the auditory pathway of locusts is specific to cell type and function.

K Jannis Hildebrandt1, Jan Benda, R Matthias Hennig.   

Abstract

We investigated the origin of spike frequency adaptation within a layered sensory network: the auditory pathway of locusts. Spike frequency adaptation as observed in an individual neuron may arise because of intrinsic or presynaptic adaptation mechanisms. To separate the contribution of different mechanisms, we recorded from the same cell during acoustic and intracellular current stimulation. We studied three identified neuron types that are representative for each network layer and participate in processing auditory patterns and localizing sound sources. By comparing current and acoustic stimulation, three distinct patterns of the distribution of adaptation mechanisms within the sensory network emerged: (1) balanced influence of both intrinsic and presynaptic adaptation mechanisms in an interneuron that summates over several receptor afferents (TN1), (2) predominantly inhibiting input as the source for spike frequency adaptation in a cell that transmits both pattern representation and directional information (BSN1), (3) primarily intrinsic, spike-triggered adaptation currents within an interneuron coding exclusively for direction (AN2). The time courses of spike frequency adaptation differed significantly between the cells types. Using the adaptation time constants, we were able to predict signal transmission properties for the different cells. We conclude that the adaptation mechanisms differ greatly among interneurons within this sensory pathway and are a function of their role in information processing.

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Year:  2009        PMID: 19244538      PMCID: PMC6666264          DOI: 10.1523/JNEUROSCI.4800-08.2009

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


  9 in total

1.  A system identification analysis of neural adaptation dynamics and nonlinear responses in the local reflex control of locust hind limbs.

Authors:  Oliver P Dewhirst; Natalia Angarita-Jaimes; David M Simpson; Robert Allen; Philip L Newland
Journal:  J Comput Neurosci       Date:  2012-06-23       Impact factor: 1.621

2.  Response recovery in the locust auditory pathway.

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

3.  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

4.  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 5.  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

6.  Temporal processing properties of auditory DUM neurons in a bush-cricket.

Authors:  Andreas Stumpner; Paule Chloé Lefebvre; Marvin Seifert; Tim Daniel Ostrowski
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-07-20       Impact factor: 1.836

7.  Calcium-dependent control of temporal processing in an auditory interneuron: a computational analysis.

Authors:  Abhilash Ponnath; Hamilton E Farris
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-06-18       Impact factor: 1.836

8.  Noise-induced hearing loss alters the temporal dynamics of auditory-nerve responses.

Authors:  Ryan E Scheidt; Sushrut Kale; Michael G Heinz
Journal:  Hear Res       Date:  2010-08-07       Impact factor: 3.208

9.  A neural mechanism for time-window separation resolves ambiguity of adaptive coding.

Authors:  K Jannis Hildebrandt; Bernhard Ronacher; R Matthias Hennig; Jan Benda
Journal:  PLoS Biol       Date:  2015-03-11       Impact factor: 8.029

  9 in total

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