Literature DB >> 31992168

Mice tune out not in: violation of prediction drives auditory saliency.

Meike M Rogalla1,2, Inga Rauser1, Karsten Schulze1, Lasse Osterhagen1,2, K Jannis Hildebrandt1,2.   

Abstract

Successful navigation in complex acoustic scenes requires focusing on relevant sounds while ignoring irrelevant distractors. It has been argued that the ability to track stimulus statistics and generate predictions supports the choice of what to attend and what to ignore. However, the role of these predictions about future auditory events in drafting decisions remains elusive. While most psychophysical studies in humans indicate that expected stimuli are more easily detected, most work studying physiological auditory processing in animals highlights the detection of unexpected, surprising stimuli. Here, we tested whether in the mouse, high target probability results in enhanced detectability or whether detection is biased towards low-probability deviants using an auditory detection task. We implemented a probabilistic choice model to investigate whether a possible dependence on stimulus statistics arises from short-term serial correlations or from integration over longer periods. Our results demonstrate that target detectability in mice decreases with increasing probability, contrary to humans. We suggest that mice indeed track probability over a timescale of at least several minutes but do not use this information in the same way as humans do: instead of maximizing reward by focusing on high-probability targets, the saliency of a target is determined by surprise.

Entities:  

Keywords:  animal behaviour; auditory; expectation; statistical learning

Mesh:

Year:  2020        PMID: 31992168      PMCID: PMC7015331          DOI: 10.1098/rspb.2019.2001

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  32 in total

1.  Processing of low-probability sounds by cortical neurons.

Authors:  Nachum Ulanovsky; Liora Las; Israel Nelken
Journal:  Nat Neurosci       Date:  2003-04       Impact factor: 24.884

2.  Attention reverses the effect of prediction in silencing sensory signals.

Authors:  Peter Kok; Dobromir Rahnev; Janneke F M Jehee; Hakwan C Lau; Floris P de Lange
Journal:  Cereb Cortex       Date:  2011-11-02       Impact factor: 5.357

3.  The spectrotemporal filter mechanism of auditory selective attention.

Authors:  Peter Lakatos; Gabriella Musacchia; Monica N O'Connel; Arnaud Y Falchier; Daniel C Javitt; Charles E Schroeder
Journal:  Neuron       Date:  2013-02-20       Impact factor: 17.173

4.  Frequency tuning in the behaving mouse: different bandwidths for discrimination and generalization.

Authors:  Livia de Hoz; Israel Nelken
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

5.  Mice tune out not in: violation of prediction drives auditory saliency.

Authors:  Meike M Rogalla; Inga Rauser; Karsten Schulze; Lasse Osterhagen; K Jannis Hildebrandt
Journal:  Proc Biol Sci       Date:  2020-01-29       Impact factor: 5.349

6.  Multiple time scales of adaptation in auditory cortex neurons.

Authors:  Nachum Ulanovsky; Liora Las; Dina Farkas; Israel Nelken
Journal:  J Neurosci       Date:  2004-11-17       Impact factor: 6.167

7.  The detection of visual contrast in the behaving mouse.

Authors:  Laura Busse; Asli Ayaz; Neel T Dhruv; Steffen Katzner; Aman B Saleem; Marieke L Schölvinck; Andrew D Zaharia; Matteo Carandini
Journal:  J Neurosci       Date:  2011-08-03       Impact factor: 6.167

Review 8.  Cerebral hierarchies: predictive processing, precision and the pulvinar.

Authors:  Ryota Kanai; Yutaka Komura; Stewart Shipp; Karl Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

Review 9.  The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection.

Authors:  Guillermo V Carbajal; Manuel S Malmierca
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

10.  How prediction errors shape perception, attention, and motivation.

Authors:  Hanneke E M den Ouden; Peter Kok; Floris P de Lange
Journal:  Front Psychol       Date:  2012-12-11
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  1 in total

1.  Mice tune out not in: violation of prediction drives auditory saliency.

Authors:  Meike M Rogalla; Inga Rauser; Karsten Schulze; Lasse Osterhagen; K Jannis Hildebrandt
Journal:  Proc Biol Sci       Date:  2020-01-29       Impact factor: 5.349

  1 in total

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