Literature DB >> 19846624

Enhancement of ITD coding within the initial stages of the auditory pathway.

Michael Pecka1, Ida Siveke, Benedikt Grothe, Nicholas A Lesica.   

Abstract

Sensory systems use a variety of strategies to increase the signal-to-noise ratio in their inputs at the receptor level. However, important cues for sound localization are not present at the individual ears but are computed after inputs from the two ears converge within the brain, and we hypothesized that additional strategies to enhance the representation of these cues might be employed in the initial stages after binaural convergence. Specifically, we investigated the transformation that takes place between the first two stages of the gerbil auditory pathway that are sensitive to differences in the arrival time of a sound at the two ears (interaural time differences; ITDs): the medial superior olive (MSO), where ITD tuning originates, and the dorsal nucleus of the lateral lemniscus (DNLL), to which the MSO sends direct projections. We use a combined experimental and computational approach to demonstrate that the coding of ITDs is dramatically enhanced between these two stages, with the mutual information in the responses of single neurons increasing by a factor of 2. We also show that this enhancement is related to an increase in dynamic range for neurons with high preferred frequencies and a decrease in variability for neurons with low preferred frequencies. These results suggest that a major role of the initial stages of the ITD pathway may be to enhance the representation created at the site of coincidence detection and illustrate the potential of this pathway as a model system for the study of strategies for enhancing sensory representations in the mammalian brain.

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Mesh:

Year:  2009        PMID: 19846624     DOI: 10.1152/jn.00628.2009

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


  12 in total

1.  Modulation of synaptic input by GABAB receptors improves coincidence detection for computation of sound location.

Authors:  Matthew J Fischl; T Dalton Combs; Achim Klug; Benedikt Grothe; R Michael Burger
Journal:  J Physiol       Date:  2012-04-02       Impact factor: 5.182

2.  Adaptation in sound localization: from GABA(B) receptor-mediated synaptic modulation to perception.

Authors:  Annette Stange; Michael H Myoga; Andrea Lingner; Marc C Ford; Olga Alexandrova; Felix Felmy; Michael Pecka; Ida Siveke; Benedikt Grothe
Journal:  Nat Neurosci       Date:  2013-10-20       Impact factor: 24.884

3.  NMDA currents modulate the synaptic input-output functions of neurons in the dorsal nucleus of the lateral lemniscus in Mongolian gerbils.

Authors:  Christian P Porres; Elisabeth M M Meyer; Benedikt Grothe; Felix Felmy
Journal:  J Neurosci       Date:  2011-03-23       Impact factor: 6.167

4.  Dynamic Heterogeneity Shapes Patterns of Spiral Ganglion Activity.

Authors:  Jeffrey Parra-Munevar; Charles E Morse; Mark R Plummer; Robin L Davis
Journal:  J Neurosci       Date:  2021-09-22       Impact factor: 6.167

5.  Neural population encoding and decoding of sound source location across sound level in the rabbit inferior colliculus.

Authors:  Mitchell L Day; Bertrand Delgutte
Journal:  J Neurophysiol       Date:  2015-10-21       Impact factor: 2.714

6.  Neuronal sensitivity to the interaural time difference of the sound envelope in the mouse inferior colliculus.

Authors:  Munenori Ono; Deborah C Bishop; Douglas L Oliver
Journal:  Hear Res       Date:  2019-11-15       Impact factor: 3.208

7.  Optimal nonlinear cue integration for sound localization.

Authors:  Brian J Fischer; Jose Luis Peña
Journal:  J Comput Neurosci       Date:  2016-10-06       Impact factor: 1.621

8.  Strongly directional responses to tones and conspecific calls in the auditory nerve of the Tokay gecko, Gekko gecko.

Authors:  Jakob Christensen-Dalsgaard; Paula Kuokkanen; Jamie Emoto Matthews; Catherine E Carr
Journal:  J Neurophysiol       Date:  2021-02-03       Impact factor: 2.714

9.  Frequency-invariant representation of interaural time differences in mammals.

Authors:  Hannes Lüling; Ida Siveke; Benedikt Grothe; Christian Leibold
Journal:  PLoS Comput Biol       Date:  2011-03-17       Impact factor: 4.475

10.  Owl's behavior and neural representation predicted by Bayesian inference.

Authors:  Brian J Fischer; José Luis Peña
Journal:  Nat Neurosci       Date:  2011-07-03       Impact factor: 24.884

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