Gilmer et al 2024
A novel biomechanical model of the mouse forelimb predicts muscle activity in optimal control simulations of reaching movements
Gilmer JI, Coltman S, Velasco GC, Hutchinson JR, Huber D, Person AL, Al Borno, M. BioRxiv preprint (2024) [PDF] [DOI]
Kirk et al 2023 image
An output-null signature of inertial load in motor cortex
Kirk EA, Hope KT, Sober SJ, Sauerbrei BA. Nat Commun 15, 7309 (2024) [PDF] [DOI]
Anschutz et al 2024 Figure 2
Flexible EMG arrays with integrated electronics for scalable electrode density
Anschutz PM, Zia M, Lu J, Williams MJ, Jacob AL, Sober SJ, Bakir MS. BioRxiv preprint 2024.07. 02.601782 (2024) [PDF] [DOI]
Lu et al figure 1 BioRxiv
Opto-Myomatrix: μLED integrated microelectrode arrays for optogenetic activation and electrical recording in muscle tissue
Lu J, Zia M, Baig DA, Yan G, Kim JJ, Nagapudi K, Anschutz P, Oh S, O'Connor DH, Sober SJ, Bakir MS. BioRxiv preprint 2024.07. 01.601601 (2024) [PDF] [DOI]
Kim et al 2024 Figure 2
Myo-optogenetics: optogenetic stimulation and electrical recording in skeletal muscles
Kim JJ, Wyche IS, Olson W, Lu J, Bakir MS, Sober SJ, O'Connor DH. BioRxiv preprint 2024.06. 21.600113 (2024) [PDF] [DOI]
Chung et al 2023 figure 1
Myomatrix arrays for high-definition muscle recording
Chung B, Zia M, Thomas KA, Michaels JA, Jacob A, Pack A, Williams MJ, Nagapudi K, Teng LH, Arrambide E, Ouellette L, Oey N, Gibbs R, Anschutz P, Lu J, Wu Y, Kashefi M, Oya T, Kersten R, Mosberger AC, O'Connell S, Wang R, Marques H, Mendes AR, Lenschow C, Kondakath G, Kim JJ, Olson W, Quinn KN, Perkins P, Gatto G, Thanawalla A, Coltman S, Kim T, Smith T, Binder-Markey B, Zaback M, Thompson CK, Giszter S, Person A, Goulding M, Azim E, Thakor N, O'Connor D, Trimmer B, Lima SQ, Carey MR, Pandarinath. ELife 12:RP88551 (2023) [PDF] [DOI]


Commentary

Accessing populations of motor units
Kirk EA, Sauerbrei BA. eLife 2024;13:e94764. (2024) [PDF] [DOI]
Pack et al 2023 fig 1
A flexible carbon nanotube electrode array for acute in vivo EMG recordings
Pack AR, Yan JS, Pasquali M, Sober SJ, Elemans CPH. J.Neurophysiology Mar 1;129(3):651-661 (2023) [PDF] [DOI]
McGregor et al 2022 Fig 1
Shared mechanisms of auditory and non-auditory vocal learning in the songbird brain
McGregor JN, Grassler AL, Jaffe PI, Jacob AL, Brainard MS, Sober SJ. eLife 11:e75691 (2022) [PDF] [DOI]
Lu et al 2022 Fig 2
High-performance Flexible Microelectrode Array with PEDOT:PSS Coated 3D Micro-cones for Electromyographic Recording
Lu J, Zia M, Williams MJ, Jacob AL, Chung B, Sober SJ, Bakir MS. Annu Int Conf IEEE Eng Med Biol Soc 2022:5111-5114 (2022) [PDF] [DOI]
Hernandez et al 2022 image
Unsupervised Bayesian Ising Approximation for decoding neural activity and other biological dictionaries
Hernández DG, Sober SJ, Nemenman I. eLife 11:e68192 (2022) [PDF] [DOI]
Saravanan et al 2020 image
Application of the hierarchical bootstrap to multi-level data in neuroscience
Saravanan V, Berman GJ, Sober SJ. Neurons, Behavior, Data Analysis and Theory (NBDT) arXiv:2007.07797 [q-bio.NC] (2020) [PDF] [DOI] [PubMed]
Saravanan et al 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) [PDF]
Dalipathi et al 2019
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) [PDF] [DOI]
Millisecond Spike Timing Codes for Motor Control
Millisecond Spike Timing Codes for Motor Control (review article)
Sober SJ, Sponberg S, Nemenman I, Ting LH. Trends in Neuroscience Oct;41(10):644-648 (2018) [PDF]
Zhou et al Figure 1
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) [PDF]
Nicholson et al 2018
Thalamostriatal and cerebellothalamic pathways in a songbird, the Bengalese finch
Nicholson D, Roberts T, Sober SJ. Journal of Comparative Neurology 526(9):1550-1570 (2018) [PDF] [DOI]
Fabrication and Characterization of 3D Multi Electrode
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, Bakir M. Proceedings IEEE International Electron Devices Meeting San Francisco, CA (2018) [PDF]
Wyatt et al 2017
The Effects of Pitch Shifts on Delay-induced Changes in Vocal Sequencing in a Songbird
Wyatt M, Berthiaume E, Sober SJ. eNeuro doi: 10.1523/ENEURO.0254-16 (2017) [PDF] [DOI]
Srivastava et al 2016
Motor control by precisely timed spike patterns
Srivastava K, Holmes CM, Vellema M, Pack A, Elemans C, Nemenman I, Sober SJ. Proceedings of the National Academy of Sciences 114(5):1171-1176 (2017) [PDF]
Dopaminergic Contributions to Vocal Learning
Dopaminergic Contributions to Vocal Learning
Hoffmann LA, Saravanan V, Wood AN, He L, Sober SJ. J. Neuroscience 36(7):2176-89 (2016) [PDF]
Universal mechanisms of sound production
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, Švec JG. Nature Communications 155:38:00 (2015) [PDF]
Srivastava et al 2015
Multifunctional and Context-Dependent Control of Vocal Acoustics by Individual Muscles
Srivastava KH, Elemans CP, Sober SJ. J. Neuroscience 35(42):14183-94 (2015) [PDF]
Variations on a theme
Variations on a theme: Songbirds, variability, and sensorimotor error correction (review article)
Kuebrich BD, Sober SJ. Neuroscience 296:48-54 (2015) [PDF]
Tang et al image
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) [PDF] [DOI]
Kelly and Sober 2014
A simple computational principle predicts vocal adaptation dynamics across age and error size
Kelly CW, Sober SJ. Frontiers in Integrative Neuroscience doi: 10.3389/fnint.2014.00075 (2014) [PDF] [DOI]
Hoffman et al image
Vocal generalization depends on gesture identity and sequence
Hoffmann LA, Sober SJ. J. Neuroscience 16;34(16):5564-74 (2014) [PDF]
Sober and Calabrese 2014
Falling on deaf neurons. (Commentary)
Sober SJ, Calabrese RC. eLife 3:e02289 (2014) [PDF]
Sober and Brainard 2012
Vocal learning is constrained by the statistics of sensorimotor experience
Sober SJ, Brainard MS. Proceeding of the National Academy of Sciences USA 109(51):21099-103 (2012) [PDF]
Hoffman et al 2012 JOVE
A lightweight, headphones-based system for manipulating auditory feedback in songbirds
Hoffmann LA, Kelly CW, Nicholson DA, Sober SJ. J. Visualized Experiments (69):e50027 (2012) [PDF]
Sober and Kording image
What silly postures tell us about the brain. (Commentary)
Sober SJ, Kording K. Frontiers in Neuroscience 8:34 (2012) [PDF]
wohlgemuth et al 2010
Linked Control of Syllable Sequence and Phonology in Birdsong
Wohlgemuth MJ*, Sober SJ*, Brainard MS. J. Neuroscience 30(39):12936-49 (2010) [PDF]
Adult Birdsong is Actively Maintained
Adult Birdsong is Actively Maintained by Error Correction
Sober SJ, Brainard MS. Nature Neuroscience 12(7):927-31 (2009) [PDF]
Sober et al 2008
Central Contributions to Acoustic Variation in Birdsong
Sober SJ*, Wohlgemuth MJ*, Brainard MS. J. Neuroscience 28(41):10370-9 (2008) [PDF]
Sober and Sabes 2005
Flexible Strategies for Sensory Integration during Motor Planning
Sober SJ, Sabes PN. Nature Neuroscience 8(4):490-7 (2005) [PDF]
Sober and Sabes 2003
Multisensory Integration During Motor Planning
Sober SJ, Sabes PN. J. Neuroscience 23(18):6982-92 (2003) [PDF]
Lytton et al 1999 a
Unmasking Unmasked: Neural Dynamics Following Stroke
Lytton WW, Williams ST, Sober SJ. Progress In Brain Research 121:203-218 (1999) [PDF]
Lytton et al 1999 b
Computer Models of Stroke Recovery: Implications for Neurorehabilitation
Lytton WW, Stark JM, Yamasaki DS, Sober, SJ. The Neuroscientist 5:100-111 (1999) [PDF]
Sober et al 1997
Receptive Field Changes Following Stroke-Like Cortical Ablation: a Role for Activation Dynamics
Sober SJ, Stark JM, Yamasaki DS, Lytton WW. J. Neurophysiology 78:3438-3443 (1997) [PDF]