Publications

Vocal learning and motor control in songbirds


Transitioning between preparatory and precisely sequenced neuronal activity in production of a skilled behavior
Daliparthi VK, Tachibana RO, Cooper BG, Hahnloser RH, Kojima S,
Sober SJ, Roberts TF.
Elife Jun 11;8 ( 2019)


Dopamine Depletion Affects Vocal Acoustics and Disrupts Sensorimotor Adaptation in Songbird
Saravanan V, Hoffmann LA, Jacob AL, Berman GJ, Sober SJ.
eNeuro. Jun 12;6(3). (2019)


Millisecond Spike Timing Codes for Motor Control
Sober SJ, Sponberg S, Nemenman I, Ting LH.
Trends in Neuroscience Oct;41(10):644-648 (2018)

 

 

 

 


Chance, long tails, and inference in a non-Gaussian, Bayesian theory of vocal learning in songbirds
Zhou B, Hofmann D, Pinkoviezky I, Sober SJ, Nemenman I.
Proceedings of the National Academy of Sciences 115(36):E8538-E8546 (2018)


Thalamostriatal and cerebellothalamic pathways in a songbird, the Bengalese finch
Nicholson D., Roberts T., Sober S.J.
Journal of Comparative Neurology (2018)


Fabrication and Characterization of 3D Multi-Electrode Array on Flexible Substrate for In Vivo EMG Recording from Expiratory Muscle of Songbird
Zia M, Chung B, Sober SJ, and Bakir M.
Proc. IEEE International Electron Devices Meeting (IEDM) San Francisco, CA (2018)


Motor control by precisely timed spike patterns
Srivastava K, Holmes CM, Vellema M, Pack A, Elemans C, Nemenman I, and Sober SJ .
Proceedings of the National Academy of Sciences 114(5):1171-1176 (2017)


The Effects of Pitch Shifts on Delay-induced Changes in Vocal Sequencing in a Songbird
Wyatt M, Berthiaume E, and Sober SJ
eNeuro (2017) doi: 10.1523/ENEURO.0254-16. (2017)


Dopaminergic Contributions to Vocal Learning 
Hoffmann LA, Saravanan V, Wood AN, He L, and Sober SJ.
J. Neuroscience 36(7):2176-89 (2016)

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Universal mechanisms of sound production and control in birds and mammals
Elemans CP, Rasmussen JH, Herbst CT, Düring DN, Zollinger SA, Brumm H, Srivastava K, Svane N, Ding M, Larsen ON, Sober SJ, and Švec JG.
Nature Communications 6:8978 (2015)

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Multifunctional and Context-Dependent Control of Vocal Acoustics by Individual Muscles
Srivastava KH, Elemans CP, Sober SJ.
J. Neuroscience 35(42):14183-94 (2015)


Variations on a theme: Songbirds, variability, and sensorimotor error correction
Kuebrich BD and Sober SJ.
Neuroscience 296:48-54 (2015)

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Millisecond-Scale Motor Encoding in a Cortical Vocal Area
Tang C, Srivastava K, Chehayeb D, Nemenman I, and Sober SJ.
PLoS Biology DOI: 10.1371/journal.pbio.1002018 (2014)

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A simple computational principle predicts vocal adaptation dynamics across age and error size
Kelly CW and Sober SJ.
Frontiers in Integrative Neuroscience doi: 10.3389/fnint.2014.00075 (2014).


Vocal generalization depends on gesture identity and sequence
Hoffmann LA and Sober SJ.
J. Neuroscience 16;34(16):5564-74 (2014).


Falling on deaf neurons. (Commentary)
Sober SJ and Calabrese RC.
eLife 3:e02289 (2014).


A lightweight, headphones-based system for manipulating auditory feedback in songbirds
Hoffmann LA, Kelly CW, Nicholson DA, and Sober SJ.
J. Visualized Experiments, (69):e50027 (2012).


Vocal learning is constrained by the statistics of sensorimotor experience
Sober SJ and Brainard MS

Proceeding of the National Academy of Sciences USA
, 109(51):21099-103. (2012)


Linked Control of Syllable Sequence and Phonology in Birdsong
Wohlgemuth MJ*, Sober SJ*, and Brainard MS.
J. Neuroscience, 30(39):12936-49 (2010)


Adult Birdsong is Actively Maintained by Error Correction Sober SJ and Brainard MS
Nature Neuroscience 12(7):927-31 (2009)

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Central Contributions to Acoustic Variation in Birdsong
Sober SJ*, Wohlgemuth MJ*, and Brainard MS.,
J. Neuroscience, 28(41):10370-9 (2008)


Computational motor control in human arm movements

What silly postures tell us about the brain. (Commentary)
Sober SJ and Kording K.
Frontiers in Neuroscience 6:154 (2012).


Flexible Strategies for Sensory Integration during Motor Planning
Sober SJ and Sabes PN
Nature Neuroscience, 8(4):490-7 (2005)


Multisensory Integration During Motor Planning
Sober SJ and Sabes PN.
J. Neuroscience, 23(18):6982-92 (2003)


Recovery of function and cortical network modeling

Unmasking Unmasked: Neural Dynamics Following Stroke
Lytton WW; Williams ST; Sober SJ
Progress In Brain Research, 121:203-218, (1999)


Computer Models of Stroke Recovery: Implications for Neurorehabilitation
Lytton, WW; Stark, JM; Yamasaki, DS; Sober, SJ
The Neuroscientist, 5:100-111, (1999)


Receptive Field Changes Following Stroke-Like Cortical Ablation: a Role for Activation Dynamics
Sober SJ, Stark JM, Yamasaki DS, and Lytton WW,
J. Neurophysiology, 78:3438-3443, (1997)