Literature DB >> 21857717

Automated auditory recognition training and testing.

Austen Gess1, David M Schneider, Akshat Vyas, Sarah M N Woolley.   

Abstract

Laboratory training and testing of auditory recognition skills in animals is important for understanding animal communication systems that depend on auditory cues. Songbirds are commonly studied because of their exceptional ability to learn complex vocalizations. In recent years, mounting interest in the perceptual abilities of songbirds has increased the demand for laboratory behavioural training and testing paradigms. Here, we describe and demonstrate the success of a method for auditory discrimination experiments, including all the necessary hardware, training procedures and freely-available, versatile software. The system can run several behavioural training and testing paradigms, including operant (go-nogo, stimulus preference, and two-alternative forced choice) and classical conditioning tasks. The software and some hardware components can be used with any laboratory animal that learns and responds to sensory cues. The peripheral hardware and training procedures are designed for use with songbirds and auditory stimuli. Using the go-nogo paradigm of the training system, we show that adult zebra finches learn to recognize and correctly classify individual female calls and male songs. We also show that learning the task generalizes to new stimulus classes; birds that learned the task with calls subsequently learned to recognize songs faster than did birds that learned the task and songs at the same time.

Entities:  

Year:  2011        PMID: 21857717      PMCID: PMC3156469          DOI: 10.1016/j.anbehav.2011.05.003

Source DB:  PubMed          Journal:  Anim Behav        ISSN: 0003-3472            Impact factor:   2.844


  26 in total

1.  Song learning from playback in zebra finches: is there an effect of operant contingency?

Authors: 
Journal:  Anim Behav       Date:  1999-04       Impact factor: 2.844

2.  Differential influence of frequency, timing, and intensity cues in a complex acoustic categorization task.

Authors:  Katherine I Nagel; Helen M McLendon; Allison J Doupe
Journal:  J Neurophysiol       Date:  2010-07-07       Impact factor: 2.714

3.  Mate recognition by female zebra finch: analysis of individuality in male call and first investigations on female decoding process.

Authors:  Clémentine Vignal; Nicolas Mathevon; Stéphane Mottin
Journal:  Behav Processes       Date:  2007-09-29       Impact factor: 1.777

4.  Conspecific and heterospecific song discrimination in male zebra finches with lesions in the anterior forebrain pathway.

Authors:  C Scharff; F Nottebohm; J Cynx
Journal:  J Neurobiol       Date:  1998-07

5.  Testing female chaffinch song preferences by operant conditioning.

Authors: 
Journal:  Anim Behav       Date:  1998-12       Impact factor: 2.844

6.  The genome of a songbird.

Authors:  Wesley C Warren; David F Clayton; Hans Ellegren; Arthur P Arnold; Ladeana W Hillier; Axel Künstner; Steve Searle; Simon White; Albert J Vilella; Susan Fairley; Andreas Heger; Lesheng Kong; Chris P Ponting; Erich D Jarvis; Claudio V Mello; Pat Minx; Peter Lovell; Tarciso A F Velho; Margaret Ferris; Christopher N Balakrishnan; Saurabh Sinha; Charles Blatti; Sarah E London; Yun Li; Ya-Chi Lin; Julia George; Jonathan Sweedler; Bruce Southey; Preethi Gunaratne; Michael Watson; Kiwoong Nam; Niclas Backström; Linnea Smeds; Benoit Nabholz; Yuichiro Itoh; Osceola Whitney; Andreas R Pfenning; Jason Howard; Martin Völker; Bejamin M Skinner; Darren K Griffin; Liang Ye; William M McLaren; Paul Flicek; Victor Quesada; Gloria Velasco; Carlos Lopez-Otin; Xose S Puente; Tsviya Olender; Doron Lancet; Arian F A Smit; Robert Hubley; Miriam K Konkel; Jerilyn A Walker; Mark A Batzer; Wanjun Gu; David D Pollock; Lin Chen; Ze Cheng; Evan E Eichler; Jessica Stapley; Jon Slate; Robert Ekblom; Tim Birkhead; Terry Burke; David Burt; Constance Scharff; Iris Adam; Hugues Richard; Marc Sultan; Alexey Soldatov; Hans Lehrach; Scott V Edwards; Shiaw-Pyng Yang; Xiaoching Li; Tina Graves; Lucinda Fulton; Joanne Nelson; Asif Chinwalla; Shunfeng Hou; Elaine R Mardis; Richard K Wilson
Journal:  Nature       Date:  2010-04-01       Impact factor: 49.962

7.  Auditory scene analysis in estrildid finches (Taeniopygia guttata and Lonchura striata domestica): a species advantage for detection of conspecific song.

Authors:  K S Benney; R F Braaten
Journal:  J Comp Psychol       Date:  2000-06       Impact factor: 2.231

Review 8.  Using learned calls to study sensory-motor integration in songbirds.

Authors:  David S Vicario
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

9.  Audience drives male songbird response to partner's voice.

Authors:  Clémentine Vignal; Nicolas Mathevon; Stéphane Mottin
Journal:  Nature       Date:  2004-07-22       Impact factor: 49.962

10.  Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species.

Authors:  Caroline A A van Heijningen; Jos de Visser; Willem Zuidema; Carel ten Cate
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-16       Impact factor: 11.205

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  12 in total

1.  Neural responses in songbird forebrain reflect learning rates, acquired salience, and stimulus novelty after auditory discrimination training.

Authors:  Brittany A Bell; Mimi L Phan; David S Vicario
Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

2.  Auditory learning in an operant task with social reinforcement is dependent on neuroestrogen synthesis in the male songbird auditory cortex.

Authors:  Matheus Macedo-Lima; Luke Remage-Healey
Journal:  Horm Behav       Date:  2020-02-19       Impact factor: 3.587

Review 3.  A behavioral framework to guide research on central auditory development and plasticity.

Authors:  Dan H Sanes; Sarah M N Woolley
Journal:  Neuron       Date:  2011-12-22       Impact factor: 17.173

4.  Serotonin, estrus, and social context influence c-Fos immunoreactivity in the inferior colliculus.

Authors:  Jessica L Hanson; Laura M Hurley
Journal:  Behav Neurosci       Date:  2016-09-22       Impact factor: 1.912

5.  Sparse and background-invariant coding of vocalizations in auditory scenes.

Authors:  David M Schneider; Sarah M N Woolley
Journal:  Neuron       Date:  2013-07-10       Impact factor: 17.173

6.  Transformation of temporal sequences in the zebra finch auditory system.

Authors:  Yoonseob Lim; Ryan Lagoy; Barbara G Shinn-Cunningham; Timothy J Gardner
Journal:  Elife       Date:  2016-11-29       Impact factor: 8.140

7.  Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms.

Authors:  Nikolas A Francis; Kayla Bohlke; Patrick O Kanold
Journal:  eNeuro       Date:  2019-10-02

8.  A fully automated high-throughput training system for rodents.

Authors:  Rajesh Poddar; Risa Kawai; Bence P Ölveczky
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

9.  Automated Operant Conditioning in the Mouse Home Cage.

Authors:  Nikolas A Francis; Patrick O Kanold
Journal:  Front Neural Circuits       Date:  2017-03-01       Impact factor: 3.342

10.  Vocal learning and flexible rhythm pattern perception are linked: Evidence from songbirds.

Authors:  Andrew A Rouse; Aniruddh D Patel; Mimi H Kao
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-16       Impact factor: 11.205

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