Visual Pursuit Control with Target Motion Learning via Gaussian Process

Author(s):  
Junya Yamauchi ◽  
Thomas Beckers ◽  
Marco Omainska ◽  
Takeshi Hatanaka ◽  
Sandra Hirche ◽  
...  
2021 ◽  
Vol 14 (1) ◽  
pp. 116-127
Author(s):  
Marco Omainska ◽  
Junya Yamauchi ◽  
Thomas Beckers ◽  
Takeshi Hatanaka ◽  
Sandra Hirche ◽  
...  

2006 ◽  
Vol 54 (2) ◽  
pp. 112-123 ◽  
Author(s):  
Dai Kawawaki ◽  
Tomohiro Shibata ◽  
Naokazu Goda ◽  
Kenji Doya ◽  
Mitsuo Kawato

Author(s):  
Lorenzo Vannucci ◽  
Nino Cauli ◽  
Egidio Falotico ◽  
Alexandre Bernardino ◽  
Cecilia Laschi
Keyword(s):  

2006 ◽  
Vol 95 (6) ◽  
pp. 3770-3782 ◽  
Author(s):  
C. de Hemptinne ◽  
P. Lefèvre ◽  
M. Missal

A classic paradigm to study anticipatory pursuit consists in training monkeys to look at a target that appears in the center of a visual display, disappears during a short “gap” period, then reappears and immediately starts to move. To determine the role of prior directional information on anticipatory pursuit eye movements, we trained rhesus monkeys to associate the color of a centrally presented visual cue with the direction of an upcoming target motion. In a first experiment, a gap period occurred randomly in 50% of the trials. Consequently, two possible choices of timing of target motion onset were given to subjects to guide their anticipatory responses. In a second experiment, a gap period occurred during each trial and only a single choice of timing of target motion onset was given to subjects. We found that monkeys used the learned association between the color of the cue and the direction of future target motion to voluntarily initiate anticipatory pursuit movements in the appropriate direction. Anticipatory movements could be classified in two distinct populations: early and late movements. Early movements were most frequent when prior directional information was provided and when two choices of timing of target motion onset were given. The latency of visual pursuit was shortened and its velocity was larger when prior directional information was provided. We conclude that cognitive expectation of future target motion plays a dominant role in determining characteristics of anticipatory pursuit in the monkey.


2007 ◽  
Vol 44 (02) ◽  
pp. 393-408 ◽  
Author(s):  
Allan Sly

Multifractional Brownian motion is a Gaussian process which has changing scaling properties generated by varying the local Hölder exponent. We show that multifractional Brownian motion is very sensitive to changes in the selected Hölder exponent and has extreme changes in magnitude. We suggest an alternative stochastic process, called integrated fractional white noise, which retains the important local properties but avoids the undesirable oscillations in magnitude. We also show how the Hölder exponent can be estimated locally from discrete data in this model.


1987 ◽  
Vol 26 (03) ◽  
pp. 117-123
Author(s):  
P. Tautu ◽  
G. Wagner

SummaryA continuous parameter, stationary Gaussian process is introduced as a first approach to the probabilistic representation of the phenotype inheritance process. With some specific assumptions about the components of the covariance function, it may describe the temporal behaviour of the “cancer-proneness phenotype” (CPF) as a quantitative continuous trait. Upcrossing a fixed level (“threshold”) u and reaching level zero are the extremes of the Gaussian process considered; it is assumed that they might be interpreted as the transformation of CPF into a “neoplastic disease phenotype” or as the non-proneness to cancer, respectively.


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