For an up-to-date list of publications, see Google Scholar.
Below, "*" denotes joint authorship.


  • Dimensionality reduction of calcium-imaged neuronal population activity
    TH Koh, WE Bishop, T Kawashima, BB Jeon, ..., SM Chase*, BM Yu*
    Nature Computational Science (2022)

  • Visual experience has opposing influences on the quality of stimulus representation in adult primary visual cortex
    BB Jeon, T Fuchs, SM Chase, SJ Kuhlman
    eLife (2022)

  • Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task
    BB Jeon, T Fuchs, SM Chase, SJ Kuhlman
    Nature Communications (2022)


  • How learning unfolds in the brain: toward an optimization view
    JA Hennig, ER Oby, DM Losey, AP Batista*, SM Chase*, BM Yu*
    Neuron (2021)

  • Monkeys exhibit a paradoxical decrease in performance in high-stakes scenarios
    AL Smoulder+, NP Pavlovsky+, PJ Marino+, ..., AP Batista*, SM Chase*
    Proceedings of the National Academy of Sciences (2021)

  • Learning is shaped by abrupt changes in neural engagement
    JA Hennig, ..., AP Batista*, SM Chase*, BM Yu*
    Nature Neuroscience (2021)
    paper code

  • Distinct kinematic adjustments over multiple timescales accompany locomotor skill development in mice
    KP Nguyen, A Sharma, M Gil-Silva, AH Gittis*, SM Chase*
    Neuroscience (2021)
    paper code

  • Development of natural scene representation in primary visual cortex requires early postnatal experience
    N Kowalewski*, J Kauttonen*, PL Stan, BJ Jeon, T Fuchs, SM Chase, TS Lee, SJ Kuhlman
    Current Biology (2021)


  • Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity
    AD Degenhart+, WE Bishop+, ER Oby, EC Tyler-Kabara, SM Chase*, AP Batista*, BM Yu*
    Nature BME (2020)
    paper code

  • Intracortical Brain-Machine Interfaces
    ER Oby, JA Hennig, AP Batista, BM Yu, SM Chase
    Neural Engineering, 3rd Edition (2020)


  • New neural activity patterns emerge with long-term learning
    ER Oby, MD Golub, JA Hennig, ..., BM Yu*, SM Chase*, AP Batista*
    Proceedings of the National Academy of Sciences (2019)

  • Distinct types of neural reorganization during long-term learning
    Zhou X, Tien R, Ravikumar S, Chase SM
    J Neurophysiol in press (2019)


  • Feature selectivity is stable in primary visual cortex across a range of spatial frequencies
    Jeon BB, Swain AD, Good JT, Chase SM, Kuhlman SJ
    Sci Rep 8:15288 (2018)

  • Constraints on neural redundancy
    Hennig JA, Golub MD, Lund PJ, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, *Batista AP, *Yu BM, *Chase SM
    eLife 7:e36774 (2018)
    paper code

  • Learning by neural reassociation
    Golub MD, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, *Chase SM, and *Yu BM
    Nature Neurosci. 21:607-616 (2018)

  • Optimizing the usability of brain computer interfaces
    Zhang Y and Chase SM
    Neural Comp 22:1-36 (2018)

  • Intracortical recording stability in human brain-computer interface users
    Downey J, Schwed N, Chase SM, Schwartz AB, and Collinger J
    J Neural Eng 10.1088/1741-2552/aab7a0 (2018)


  • Population activity structure of excitatory and inhibitory neurons
    Bittner SR, Williamson RC, Snyder AC, Litwin-Kumar A, Doiron B, *Chase SM, *Smith MA, and *Yu BM
    PLoS One 12(8): e0181773 (2017)

  • Temporally segmented directionality in the motor cortex
    Suway SB, Orellana J, McMorland AJC, Fraser GW, Liu Z, Velliste M, Chase SM, Kass RE, and Schwartz AB
    Cereb Cortex 2017 1-14. doi: 10.1093/cercor/bhx133 (2017)

  • Dynamic range adaptation in primary motor cortical populations
    Rasmussen RG, Schwartz AB, and Chase SM
    eLife 2017;6:e21409 (2017)

  • Workshops of the sixth international brain-computer interface meeting: brain-computer interfaces past, present, and future
    Huggins JE, Guger C, Ziat M, Zander TO, Taylor D, Tangermann M, Soria-Frisch A, Simeral J, Scherer R, Rupp R, Ruffini G, Robinson DKR, Ramsey NF, Nijholt A, Muller-Putz G, McFarland DJ, Mattia D, Lance BJ, Kindermans PJ, Iturrate I, Herff C, Gupta D, Do AH, Collinger JL, Chavarriaga R, Chase SM, Bleichner MG, Batista A, Anderson CW, Aarnoutse EJ
    Brain-computer interfaces (2017)


  • A control-theoretic approach to brain-computer interface design
    Zhang Y and Chase SM
    American Controls Conference (in press) (2016)

  • Extracellular voltage threshold settings can be tuned for optimal encoding of movement and stimulus parameters
    Oby ER, Perel S, Sadtler PT, Ruff DA, Mischel JL, Montez DF, Cohen MR, *Batista AP, and *Chase SM
    J Neural Eng. 13:036009 (2016)

  • Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control
    Golub M, Chase SM, Batista AP, Yu BM
    Curr Opin Neurobiol 37:53-58 (2016)


  • Internal models for interpreting neural population activity during sensorimotor control
    Golub M, *Yu BM, *Chase SM
    Elife. doi: 10.7554/eLife.1001539:107-118 (2015)

  • Recasting brain-machine interface design from a physical control system perspective
    Zhang Y, Chase SM
    J Comput Neurosci. 39:107-118 (2015)

  • Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics
    Perel S, Sadtler PT, Oby ER, Ryu SI, Tyler-Kabara EC, *Batista AP, *Chase SM
    J Neurophysiol. 114:1500-1512 (2015)

  • Comprehensive chronic laminar single-unit, multi-unit, and local field potential recording performance with planar single shank electrode arrays
    Kozai T, Du Z, Gugel Z, Smith MA, Chase SM, Bodily LM, Caparosa EM, Friedlander RM, and Cui XT
    J Neurosci Meth. 242C:15-40 (2015)


  • Neural constraints on learning
    Sadtler PT, Quick KM, Golub MD, Chase SM, Ryu SI, Tyler-Kabara EC, *Yu BM, and *Batista AP
    Nature 512:423-426 (2014)

  • To sort or not to sort: the impact of spike-sorting on neural decoding performance
    Todorova S, Sadtler P, Batista A, Chase S, and Ventura V
    J Neural Eng 11:056005 (2014)

  • Motor-cortical control of movement speed with implications for brain-machine interface control
    Golub MD, Yu BM, Schwartz AB, and Chase SM
    J Neurophysiol 112:411-429 (2014)

  • Shedding light on learning
    Yu BM and Chase SM
    Nat. Neurosci. 17:746-747 (2014)


  • A stabilized dual Kalman filter for adaptive tracking of brain-computer interface decoding parameters
    Zhang Y and Chase SM
    Proc 35th Annual Conf IEEE EMBS (2013)

  • Direction and speed tuning of motor-cortex multi-unit activity and local field potentials during reaching movements
    Perel S, Sadtler PT, Godlove JM, Ryu SI, Wang W, Batista AP, and Chase SM
    Proc 35th Annual Conf IEEE EMBS (2013)

  • Learning an internal dynamics model from control demonstration
    Golub M, *Chase SM , and *Yu BM
    In: Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28:606-614 (2013)


  • Internal models engaged by brain-computer interface control
    Golub M, *Yu BM , and *Chase SM
    Proc 34th Annual Conf IEEE EMBS (2012)

  • Bayesian learning in assisted brain-computer interface tasks [Finalist - student paper award]
    Zhang Y, Schwartz AB, Chase SM, and Kass RE
    Proc 34th Annual Conf IEEE EMBS (2012)

  • Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex
    Chase SM, Kass RE, Schwartz AB
    J Neurophysiol. 2012 Jul;108(2):624-44 (2012)

  • Single spikes may suffice
    Chase SM
    J. Neurophysiol. 108:1808-1809 (2012)


  • Inference from populations: going beyond models
    Chase SM and Schwartz AB
    Enhancing performance for Action and Perception, Progress in Brain Research Volume 192:103-112 (Green AC, Chapman, E, Kalaska JF, & Lepore F, eds) (2011)

  • State of the art in BCI research: BCI award 2010
    Guger C, Bin G, Gao X, Guo J, Hong B, Liu T, Gao S, Guan C, Ang KK, Phua KS, Wang C, Chin ZY, Zhang H, Lin R, Chua KSG, Kuah C, Ang BT, George H, Kubler A, Halder S, Hosle A, Munbinger J, Palatucci M, Pomerleau D, Hinton G, Mitchell T, Ryan DB, Sellers EW, Townsend G, Chase SM, Whitford AS, Schwartz AB, Kawashima K, Shindo K, Ushiba J, Liu M and Schalk G
    Recent Advances in Brain-Computer Interfaces (Fazel R, ed) (2011)


  • Latent inputs improve estimates of neural encoding in motor cortex
    Chase SM, Schwartz AB, Kass RE
    J Neurosci. 2010 Oct 13;30(41):13873-82 (2010)

  • A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task
    Legenstein R, Chase SM, Schwartz AB, and Maass W
    J Neurosci 30:8400-8410 (2010)

  • Comparison between decoding algorithms in open-loop and closed-loop performance
    Koyama S, Chase SM, Whitford A, Velliste M, Schwartz AB, and Kass RE
    J Comp Neurosci 29:73-87 (2010)


  • Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
    Legenstein R, Chase SM, Schwartz AB, and Maass W
    Advances in Neural Information Processing Systems 22 (2009)

  • Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of brain-computer interface algorithms
    Chase SM, Schwartz AB, and Kass RE
    Neural Networks22:1203-1213 (2009)

  • Control of a brain-computer interface without spike sorting
    Fraser GW, Chase SM, Whitford A, and Schwartz AB
    J Neural Eng 6:055004 (2009)


  • Functional network reorganization during learning in a brain-computer interface paradigm
    *Jarosiewicz B, *Chase SM, Fraser GW, Velliste M, Kass RE, and Schwartz A
    PNAS 105:19486-19491 (2008)

  • Cues for sound localization are encoded in different aspects of spike trains in the inferior colliculus
    Chase SM and Young ED
    J Neurophysiol 99:1672-1682 (2008)


  • First-spike latency information in single neurons increases when referenced to population onset
    Chase SM and Young ED
    PNAS 104:5175-5180 (2007)


  • Spike-timing codes enhance the representation of multiple simultaneous sound-localization cues in the inferior colliculus
    Chase SM and Young ED
    J Neurosci 26:3889-3898 (2006)


  • Limited segregation of different types of sound localization information among classes of units in the inferior colliculus
    Chase SM and Young ED
    J Neurosci 25:7575-7585 (2005)