I am an Assistant Professor in the Department of Neurology.
My research seeks to develop and test theories about how the brain makes decisions and controls movement of the body, and how it learns to improve these capabilities through experience.
Preparation of Movement. Adrian M. Haith and Sven Bestmann. To appear in The Cognitive Neurosciences, 6th edition. Eds. David Poeppel, George R. Mangun, Michael S. Gazzaniga.
Motor Learning. John W. Krakauer, Alkis M. Hadjiosif, Jing Xu, Aaron L. Wong, Adrian M. Haith. Comprehensive Physiology (Accepted). *Our comprehensive review of motor learning – Available soon*
Practice induces a qualitative change in the memory representation for visuomotor learning. David M. Huberdeau, John W. Krakauer, Adrian M. Haith. bioRxiv 226415; doi: https://doi.org/10.1101/226415
Movement repetition facilitates response preparation. Firas Mawase, Daniel Lopez, Pablo Celnik and Adrian M. Haith. Cell Reports 24(4):801-808.
The multiple effects of practice: skill, habit and reduced cognitive load. Adrian M. Haith and John W. Krakauer. Current Opinion in Behavioral Sciences.
Reaction times can reflect habits rather than computations (2017). Aaron L. Wong, Jeff Goldsmith, Alexander D. Forrence, Adrian M. Haith, John W. Krakauer. eLife. doi:10.7554/eLife.28075
Preparation time determines response selection when acting under conflict (2017). Adrian M. Haith Montrell Vass, Robert M. Hardwick. Proc. Motor Learning and Motor Control 2017.
Motor planning flexibly optimizes performance under uncertainty about task goals (2017). Aaron L. Wong and Adrian M. Haith. Nature Communications. DOI: 10.1038/ncomms14624.
Repetition enhances movement preparation (2016). Firas Mawase, Adrian M. Haith, Pablo Celnik. In Proc. Motor Learning and Motor Control 2016.
Independence of movement preparation and movement initiation (2016). Adrian M Haith, Jina Pakpoor, and John W Krakauer. Journal of Neuroscience 36(10):3007-3015.
Formation of a long-term memory for visuomotor adaptation following only a few trials of practice (2015). Huberdeau DM, Haith AM, Krakauer JW. Journal of Neurophysiology 114(2):969-77. doi: 10.1152/jn.00369.2015..
Explicit knowledge enhances motor vigor and performance: motivation versus practice in sequence tasks (2015). Wong A, Lindquist M, Haith A, Krakauer JW. Journal of Neurophysiology 114(1):219-32. doi: 10.1152/jn.00218.2015..
Persistent residual errors in motor adaptation tasks: Reversion to baseline and exploratory escape (2015). Vaswani, Pavan A., Lior Shmuelof, Adrian M. Haith, Raymond J. Delnicki, Vincent S. Huang, Pietro Mazzoni, Reza Shadmehr, and John W. Krakauer. Journal of Neuroscience 35, no. 17 (April 29, 2015): 6969–77.
The influence of movement preparation time on the expression of visuomotor learning and savings (2015) Haith AM, Huberdeau DM, Krakauer JW. Journal of Neuroscience, 35(13):5109-5117. doi: 10.1523/JNEUROSCI.3869-14.2015.
Hedging your bets: intermediate movements as optimal behavior in the context of an incomplete decision (2015) Haith AM, Huberdeau DM, Krakauer JW. PLOS Computational Biology. DOI: 10.1371/journal.pcbi.1004171.
Dual-process decomposition in human sensorimotor adaptation (2015). Huberdeau DM, Krakauer JW and Haith AM. Current Opinion in Neurobiology.
Motor control of the hand before and after stroke (2015). Xu J, Haith AM, Krakauer JW. In: Systems Neuroscience: From Laboratory to Clinical Practice. Kansaku, K Cohen LG, Birbaumer N. (Eds). First Ed. Springer
Motor learning by sequential sampling of actions (2014). Adrian M. Haith, John W. Krakauer. In Proc. Translational and Computational Motor Control.
Motor Planning (2014). Wong AL, Haith AM and Krakauer JW. The Neuroscientist (2014) In Press
Motor learning: The great rate debate. Haith AM and Krakauer JW. Curr Biol. (2014) 24(10)386-8. (Commentary on Gonzalez-Castro et al., Curr Biol (2014) 24(10)1050-61).
Contributions of the cerebellum and the motor cortex to acquisition and retention of motor memories. Herzfeld DJ, Pastor D, Haith AM, Rossetti Y, Shadmehr R, O’Shea J. Neuroimage (2014). In Press.
Unlearning versus savings in visuomotor adaptation: comparing effects of washout, passage of time, and removal of errors on motor memory. Kitago T, Ryan SL, Mazzoni P, Krakauer JW, Haith AM. Front Hum Neurosci. (2013) 7:307.
Theoretical models of motor control and motor learning. Haith AM and Krakauer JW. In: Gollhofer A, Taube W, Bo Nielsen J, (Eds). The Routledge Handbook of Motor Control and Motor Learning. (2013) 7-28. Routledge, London.
Model-based and model-free mechanisms of human motor learning (2013). Haith AM and Krakauer JW. In: Progress in Motor Control VII: Neural Computational and Dynamic Approaches. Richardson MJ, Riley MA, Shockley K (Eds.). (2013) 1-21.
Overcoming motor forgetting through reinforcement of learned actions. L Shmuelof, V Huang, AM Haith, RJ Delnicki, P Mazzoni, JW Krakauer. J Neurosci. (2012), 32(42)14617-21.
Evidence for hyperbolic discounting in control of movements. AM Haith, TR Reppert and R Shadmehr (2012) J Neurosci. (2012) 32(34):11727-36.
Sensitivity to prediction error in reach adaptation. M Marko, AM Haith, MD Harran and R Shadmehr (2012) J Neurophysiol (2012) 108(6):1752-63.
Changes in saccade kinematics associated with the value and novelty of a stimulus. TR Reppert, JES Choi, AM Haith, and R Shadmehr (2012) Conference on Information Sciences and Systems 46:1-5.
2007 – 2011
Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models. Huang VS, Haith AM, Mazzoni P and Krakauer JW. Neuron (2011), 70(4):787-801.
Unifying the sensory and motor components of sensorimotor adaptation. AM Haith, CPT Jackson, RC Miall, S Vijayakumar. (2008) Proc. Advances in Neural Information Processing Systems.
Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models. AM Haith and S Vijayakumar. (2009) Biological Cybernetics.
Robustness of VOR and OKR adaptation under kinematics and dynamics transformations. AM Haith and S Vijayakumar. Proc. Sixth IEEE international Conference on Development and Learning.
Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model. L Paninski, AM Haith and G Szirtes. (2007) Journal of Computational Neuroscience.
I received my undergraduate degree from Cambridge University (Sidney Sussex College) in Mathematics and Computer Science. I received an MSc in Machine Learning/Informatics from the University of Edinburgh and subsequent PhD under Dr. Sethu Vijayakumar. I then worked as a postdoctoral fellow with Dr. Reza Shademhr and then in the BLAM Lab under Dr. John Krakauer. I became an Assistant Professor in the Department of Neurology and Co-Director of the BLAM Lab in 2014.
550 N Wolfe Street
adrian.haith [@] jhu.edu