performancesaccade prediction at baseline and adaptation Similarities in error processing establish a link

[1]  Vincent S. Huang,et al.  Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models , 2011, Neuron.

[2]  Jan Beran,et al.  Statistics for long-memory processes , 1994 .

[3]  Yohsuke R. Miyamoto,et al.  Temporal structure of motor variability is dynamically regulated and predicts motor learning ability , 2014, Nature Neuroscience.

[4]  R. Shadmehr,et al.  Interacting Adaptive Processes with Different Timescales Underlie Short-Term Motor Learning , 2006, PLoS biology.

[5]  L. Buimaga-Iarinca,et al.  DETRENDED FLUCTUATION ANALYSIS OF AUTOREGRESSIVE PROCESSES , 2007 .

[6]  Peter Thier,et al.  Cerebellar-dependent motor learning is based on pruning a Purkinje cell population response , 2008, Proceedings of the National Academy of Sciences.

[7]  J. Krakauer,et al.  Explaining savings for visuomotor adaptation: linear time-invariant state-space models are not sufficient. , 2008, Journal of neurophysiology.

[8]  Daniel M. Wolpert,et al.  Forward Models for Physiological Motor Control , 1996, Neural Networks.

[9]  Eli Brenner,et al.  Random walk of motor planning in task-irrelevant dimensions. , 2013, Journal of neurophysiology.

[10]  M. Teich,et al.  Fractal-Based Point Processes , 2005 .

[11]  T. Lejeune,et al.  Towards a “gold-standard” approach to address the presence of long-range auto-correlation in physiological time series , 2010, Journal of Neuroscience Methods.

[12]  Patrick J Drew,et al.  Models and properties of power-law adaptation in neural systems. , 2006, Journal of neurophysiology.

[13]  Rangarajan,et al.  Integrated approach to the assessment of long range correlation in time series data , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[14]  Konrad Paul Kording,et al.  Relevance of error: what drives motor adaptation? , 2009, Journal of neurophysiology.

[15]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[16]  Bruno O. Shubert,et al.  Random variables and stochastic processes , 1979 .

[17]  T. Kailath Lectures on Wiener and Kalman Filtering , 2003 .

[18]  C. Peng,et al.  Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[19]  D. Robinson,et al.  A METHOD OF MEASURING EYE MOVEMENT USING A SCLERAL SEARCH COIL IN A MAGNETIC FIELD. , 1963, IEEE transactions on bio-medical engineering.

[20]  Peter Thier,et al.  The role of the cerebellum in saccadic adaptation as a window into neural mechanisms of motor learning , 2011, The European journal of neuroscience.

[21]  Mark Shelhamer,et al.  A model of time estimation and error feedback in predictive timing behavior , 2008, Journal of Computational Neuroscience.

[22]  W. B. Templeton,et al.  Saccadic plasticity: parametric adaptive control by retinal feedback. , 1981, Journal of experimental psychology. Human perception and performance.

[23]  S. C. Mclaughlin Parametric adjustment in saccadic eye movements , 1967 .

[24]  Responses to noisy periodic stimuli reveal properties of a neural predictor. , 2006, Journal of neurophysiology.

[25]  R. Ratcliff,et al.  Estimation and interpretation of 1/fα noise in human cognition , 2004 .

[26]  J. Krakauer,et al.  An Implicit Plan Overrides an Explicit Strategy during Visuomotor Adaptation , 2006, The Journal of Neuroscience.

[27]  P. Thier,et al.  Reduced saccadic resilience and impaired saccadic adaptation due to cerebellar disease , 2007, The European journal of neuroscience.

[28]  Richard A. Davis,et al.  Introduction to time series and forecasting , 1998 .

[29]  B. L. Zuber,et al.  Saccadic suppression: elevation of visual threshold associated with saccadic eye movements. , 1966, Experimental neurology.

[30]  Joshua B. Tenenbaum,et al.  Multiple timescales and uncertainty in motor adaptation , 2006, NIPS.

[31]  Lawrence Stark,et al.  Predictive Control of Eye Tracking Movements , 1962 .

[32]  Heiner Deubel,et al.  Rapid gain adaptation affects the dynamics of saccadic eye movements in humans , 1995, Vision Research.

[33]  Damian G. Stephen,et al.  Fractal fluctuations in gaze speed visual search , 2011, Attention, perception & psychophysics.

[34]  Kaoru Yoshida,et al.  Memory of Learning Facilitates Saccadic Adaptation in the Monkey , 2004, The Journal of Neuroscience.

[35]  Thérèse Collins,et al.  The relative importance of retinal error and prediction in saccadic adaptation. , 2012, Journal of neurophysiology.

[36]  Mark Shelhamer,et al.  Sensorimotor adaptation error signals are derived from realistic predictions of movement outcomes. , 2011, Journal of neurophysiology.

[37]  Mark Shelhamer,et al.  Exploring the Fundamental Dynamics of Error-Based Motor Learning Using a Stationary Predictive-Saccade Task , 2011, PloS one.

[38]  Wilsaan M. Joiner,et al.  An internal clock generates repetitive predictive saccades , 2006, Experimental Brain Research.

[39]  Bruce J. West,et al.  Fractal physiology for physicists: Lévy statistics , 1994 .

[40]  Philip N. Sabes,et al.  Modeling Sensorimotor Learning with Linear Dynamical Systems , 2006 .

[41]  A. Haith,et al.  Model-based and model-free mechanisms of human motor learning. , 2013, Advances in experimental medicine and biology.

[42]  E. Matin Saccadic suppression: a review and an analysis. , 1974, Psychological bulletin.

[43]  C. Granger Long memory relationships and the aggregation of dynamic models , 1980 .

[44]  Mark Shelhamer,et al.  Using prediction errors to drive saccade adaptation: the implicit double-step task , 2012, Experimental Brain Research.

[45]  J. Krakauer,et al.  Sensory prediction errors drive cerebellum-dependent adaptation of reaching. , 2007, Journal of neurophysiology.

[46]  R. Leigh,et al.  The neurology of eye movements , 2006 .