Literature DB >> 15313776

Methods for the analysis of auditory processing in the brain.

Frédéric E Theunissen1, Sarah M N Woolley, Anne Hsu, Thane Fremouw.   

Abstract

Understanding song perception and singing behavior in birds requires the study of auditory processing of complex sounds throughout the avian brain. We can divide the basics of auditory perception into two general processes: (1) encoding, the process whereby sound is transformed into neural activity and (2) decoding, the process whereby patterns of neural activity take on perceptual meaning and therefore guide behavioral responses to sounds. In birdsong research, most studies have focused on the decoding process: What are the responses of the specialized auditory neurons in the song control system? and What do they mean for the bird? Recently, new techniques addressing both encoding and decoding have been developed for use in songbirds. Here, we first describe some powerful methods for analyzing what acoustical aspects of complex sounds like songs are encoded by auditory processing neurons in songbird brain. These methods include the estimation and analysis of spectro-temporal receptive fields (STRFs) for auditory neurons. Then we discuss the decoding methods that have been used to understand how songbird neurons may discriminate among different songs and other sounds based on mean spike-count rates.

Mesh:

Year:  2004        PMID: 15313776     DOI: 10.1196/annals.1298.020

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  18 in total

1.  Song tutoring in presinging zebra finch juveniles biases a small population of higher-order song-selective neurons toward the tutor song.

Authors:  Patrice Adret; C Daniel Meliza; Daniel Margoliash
Journal:  J Neurophysiol       Date:  2012-07-11       Impact factor: 2.714

2.  Role of the zebra finch auditory thalamus in generating complex representations for natural sounds.

Authors:  Noopur Amin; Patrick Gill; Frédéric E Theunissen
Journal:  J Neurophysiol       Date:  2010-06-16       Impact factor: 2.714

3.  Automating the design of informative sequences of sensory stimuli.

Authors:  Jeremy Lewi; David M Schneider; Sarah M N Woolley; Liam Paninski
Journal:  J Comput Neurosci       Date:  2010-06-16       Impact factor: 1.621

4.  Modulation power and phase spectrum of natural sounds enhance neural encoding performed by single auditory neurons.

Authors:  Anne Hsu; Sarah M N Woolley; Thane E Fremouw; Frédéric E Theunissen
Journal:  J Neurosci       Date:  2004-10-13       Impact factor: 6.167

5.  Electroreceptor neuron dynamics shape information transmission.

Authors:  Maurice J Chacron; Leonard Maler; Joseph Bastian
Journal:  Nat Neurosci       Date:  2005-04-03       Impact factor: 24.884

6.  Effects of stimulus transformations on estimates of sensory neuron selectivity.

Authors:  Alexander G Dimitrov; Tomás Gedeon
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

7.  Stimulus-dependent auditory tuning results in synchronous population coding of vocalizations in the songbird midbrain.

Authors:  Sarah M N Woolley; Patrick R Gill; Frédéric E Theunissen
Journal:  J Neurosci       Date:  2006-03-01       Impact factor: 6.167

8.  Spatial and temporal jitter distort estimated functional properties of visual sensory neurons.

Authors:  Alexander G Dimitrov; Melissa A Sheiko; Jonathan Baker; Shih-Cheng Yen
Journal:  J Comput Neurosci       Date:  2009-04-08       Impact factor: 1.621

9.  Linear and nonlinear auditory response properties of interneurons in a high-order avian vocal motor nucleus during wakefulness.

Authors:  Jonathan N Raksin; Christopher M Glaze; Sarah Smith; Marc F Schmidt
Journal:  J Neurophysiol       Date:  2011-12-28       Impact factor: 2.714

10.  Patterned tone sequences reveal non-linear interactions in auditory spectrotemporal receptive fields in the inferior colliculus.

Authors:  W Owen Brimijoin; William E O'Neill
Journal:  Hear Res       Date:  2010-04-27       Impact factor: 3.208

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