Characterization of prediction in the primate visual smooth pursuit system
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Model of the oculomotor system based on adaptive internal models
2020, IFAC-PapersOnLineSynchronizing the tracking eye movements with the motion of a visual target: Basic neural processes
2017, Progress in Brain ResearchCitation Excerpt :Because of the visuomotor delays, the ability to generate eye movements which are locked onto the current target location is obviously not possible unless the upcoming trajectory is already known. Several studies have shown that the velocity of slow eye movements hardly match the target speed when an unpredictable target is being tracked (e.g., Bahill et al., 1980; Barnes and Collins, 2015; Deno et al., 1995; Miall et al., 1986; Michael and Melvill-Jones, 1966; Mrotek et al., 2006; St-Cyr and Fender, 1969). The presence of numerous catch-up saccades makes the tracking look intermittent.
Active inference and oculomotor pursuit: The dynamic causal modelling of eye movements
2015, Journal of Neuroscience MethodsCitation Excerpt :In terms of modelling, we have also shown that it is possible to use empirical data to inform (invert) relatively sophisticated Bayesian or normative models of behaviour. There are many carefully constructed and validated descriptive SPEM models in the literature (e.g. Barnes, 2008; Deno et al., 1995; Krauzlis and Lisberger, 1989; Krauzlis, 2004; Lisberger, 2010; Robinson et al., 1986; Shibata et al., 2005): however, the generative model that we used is distinguished in the sense that it is a special case of generic (predictive coding) models that conform to normative (Bayesian) principles. We have previously shown that formally similar generative models can reproduce both control and schizophrenic subjects’ pursuit of targets whose occlusion is either expected or unexpected, and of targets that unpredictably change direction (Adams et al., 2012).
Cognitive processes involved in smooth pursuit eye movements
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