Weighted integration of short-term memory and sensory signals in the oculomotor system

Deravet, Nicolas; Blohm, Gunnar; Xivry, Jean-Jacques Orban de; Lefèvre, Philippe

doi:10.1167/18.5.16

Cited by 37 publications

(39 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Orban de Xivry et al (2013) demonstrated that Kalman filtering can reproduce the major properties of visually guided smooth pursuit and anticipatory smooth pursuit. A later study demonstrated that the reliability-based integration of prior expectation with visual information occurred not only in smooth pursuits but also in catch-up saccades (Deravet et al, 2018). Similarly, Bogadhi et al (2013) demonstrated that the reliability-weighted dynamic integration of retinal and extra-retinal signals can explain pursuit behaviors during target blanking.…”

Section: Cognitive Control and Bayesian Inference In Smooth Pursuit Ementioning

confidence: 94%

“…The interplay between prior knowledge and sensory evidence was demonstrated in smooth pursuit eye movements by a neurally plausible network model (Yang et al, 2012). More recent studies demonstrated that the integration of a short-term prior for speed and sensory information in smooth pursuit can be explained by Bayesian integration in monkeys (Darlington et al, 2017(Darlington et al, , 2018 and humans (Deravet et al, 2018). These studies primarily investigated the interaction between prior knowledge for motion speed and the precision of the visual motion, and they demonstrated the attraction of pursuit speed toward the prior information (bias).…”

Section: Introductionmentioning

confidence: 99%

“…Bayesian inference has been successful in explaining not only perceptual and cognitive processes (Kording and Wolpert, 2006;Stocker and Simoncelli, 2006;Berniker and Kording, 2011;Ma, 2012) but also several interesting properties of simple sensory-motor behaviors (Montagnini et al, 2007;Freeman et al, 2010;Bogadhi et al, 2011Bogadhi et al, , 2013Verstynen and Sabes, 2011;Simoncini et al, 2012;Yang et al, 2012;Orban de Xivry et al, 2013;Darlington et al, 2017Darlington et al, , 2018Deravet et al, 2018). The interplay between prior knowledge and sensory evidence was demonstrated in smooth pursuit eye movements by a neurally plausible network model (Yang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of Prior Direction Expectation on the Accuracy and Precision of Smooth Pursuit Eye Movements

Kim

Park

Lee

2019

Front. Syst. Neurosci.

View full text Add to dashboard Cite

The integration of sensory with top-down cognitive signals for generating appropriate sensory-motor behaviors is an important issue in understanding the brain's information processes. Recent studies have demonstrated that the interplay between sensory and high-level signals in oculomotor behavior could be explained by Bayesian inference. Specifically, prior knowledge for motion speed introduces a bias in the speed of smooth pursuit eye movements. The other important prediction of Bayesian inference is variability reduction by prior expectation; however, there is insufficient evidence in oculomotor behaviors to support this prediction. In the present study, we trained monkeys to switch the prior expectation about motion direction and independently controlled the strength of the motion stimulus. Under identical sensory stimulus conditions, we tested if prior knowledge about the motion direction reduced the variability of open-loop smooth pursuit eye movements. We observed a significant reduction when the prior expectation was strong; this was consistent with the prediction of Bayesian inference. Taking advantage of the open-loop smooth pursuit, we investigated the temporal dynamics of the effect of the prior to the pursuit direction bias and variability. This analysis demonstrated that the strength of the sensory evidence depended not only on the strength of the sensory stimulus but also on the time required for the pursuit system to form a neural sensory representation. Finally, we demonstrated that the variability and directional bias change by prior knowledge were quantitatively explained by the Bayesian observer model.

show abstract

Section: Cognitive Control and Bayesian Inference In Smooth Pursuit Ementioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of Prior Direction Expectation on the Accuracy and Precision of Smooth Pursuit Eye Movements

Kim

Park

Lee

2019

Front. Syst. Neurosci.

View full text Add to dashboard Cite

show abstract

“…More recently an effort has been made to provide a more general theoretical framework, which is based on Bayesian inference and the reliability-based cue combination. Although the mapping of this theoretical framework onto neuronal functions remains to be elucidated, it has the clear advantage of generality, as for instance, it would encompass all forms of smooth pursuit behavior, including prediction-based and visually-guided tracking [42][43][44][45].…”

Section: Anticipatory Smooth Pursuit Eye Movements (Aspem)mentioning

confidence: 99%

“…As shown in this sample screenshot, this was performed by moving a mouse cursor (black triangle) on a continuous rating scale between "Left", to "Unsure" and finally "Right". specific regularities in the properties of visual motion, such as speed, timing or direction [10,44,46]. Second, it is a robust phenomenon, which has been observed on a large population of human participants and even in non-human primates (for a recent review see [47]).…”

Section: Fig 1 Smooth Pursuit Eye Movements and Explicit Direction Pmentioning

confidence: 99%

Humans adapt their anticipatory eye movements to the volatility of visual motion properties

Pasturel

Montagnini

Perrinet

2019

Preprint

View full text Add to dashboard Cite

AbstractAnimal behavior constantly adapts to changes, for example when the statistical properties of the environment change unexpectedly. For an agent that interacts with this volatile setting, it is important to react accurately and as quickly as possible. It has already been shown that when a random sequence of motion ramps of a visual target is biased to one direction (e.g. right or left), human observers adapt their eye movements to accurately anticipate the target’s expected direction. Here, we prove that this ability extends to a volatile environment where the probability bias could change at random switching times. In addition, we also recorded the explicit prediction of the next outcome as reported by observers using a rating scale. Both results were compared to the estimates of a probabilistic agent that is optimal in relation to the assumed generative model. Compared to the classical leaky integrator model, we found a better match between our probabilistic agent and the behavioral responses, both for the anticipatory eye movements and the explicit task. Furthermore, by controlling the level of preference between exploitation and exploration in the model, we were able to fit for each individual’s experimental dataset the most likely level of volatility and analyze inter-individual variability across participants. These results prove that in such an unstable environment, human observers can still represent an internal belief about the environmental contingencies, and use this representation both for sensory-motor control and for explicit judgments. This work offers an innovative approach to more generically test the diversity of human cognitive abilities in uncertain and dynamic environments.Author summaryUnderstanding how humans adapt to changing environments to make judgments or plan motor responses based on time-varying sensory information is crucial for psychology, neuroscience and artificial intelligence. Current theories for how we deal with the environment’s uncertainty, that is, in response to the introduction of some randomness change, mostly rely on the behavior at equilibrium, long after after a change. Here, we show that in the more ecological case where the context switches at random times all along the experiment, an adaptation to this volatility can be performed online. In particular, we show in two behavioral experiments that humans can adapt to such volatility at the early sensorimotor level, through their anticipatory eye movements, but also at a higher cognitive level, through explicit ratings. Our results suggest that humans (and future artificial systems) can use much richer adaptive strategies than previously assumed.

show abstract

Pupillometric parameters of alertness during unpredictable but not predictable smooth pursuit neck torsion test are altered in patients with neck pain disorders: a cross-sectional study

et al. 2023

View full text Add to dashboard Cite

Despite commonly investigated predictable smooth-pursuit neck-torsion tasks (SPNT) in neck pain patients, unpredictable conditions have been seldom investigated but are indicative of preserved oculomotor functions during neck torsion. Although not previously studied, some speculations about compensatory cognitive mechanisms such as increased phasic alertness during unpredictable tasks were suggested. The aim of this study was to investigate eye movement accuracy and pupillometric responses during predictable and unpredictable SPNT test in neck pain patients and asymptomatic controls. Eye movements (gain and SPNT-difference) and pupillometry indicative of tonic (average and relative pupil diameter) and phasic (index of cognitive activity-ICA) alertness were measured in 28 idiopathic neck pain patients and 30 asymptomatic individuals using infrared video-oculography during predictable and unpredictable SPNT test. Gain in unpredictable SPNT test was lower as compared to predictable tasks and presented with similar levels in neutral and neck torsion positions, but not in the predictable SPNT test. ICA was lower during neutral position in all tasks in patients as compared to control group but increased during neck torsion positions in unpredictable tasks. Relative pupil diameters presented with no differences between the groups or neck positions, but the opposite was observed for average pupil diameter. Higher ICA indicates an increase in phasic alertness in neck pain patients despite no alterations in oculomotor control during SPNT test. This is the first study to indicate cognitive deficits in oculomotor task in neck pain patients. The latter could negatively affect other tasks where additional cognitive resources must be involved.

show abstract

Weighted integration of short-term memory and sensory signals in the oculomotor system

Cited by 37 publications

References 66 publications

Effect of Prior Direction Expectation on the Accuracy and Precision of Smooth Pursuit Eye Movements

Effect of Prior Direction Expectation on the Accuracy and Precision of Smooth Pursuit Eye Movements

Humans adapt their anticipatory eye movements to the volatility of visual motion properties

Pupillometric parameters of alertness during unpredictable but not predictable smooth pursuit neck torsion test are altered in patients with neck pain disorders: a cross-sectional study

Contact Info

Product

Resources

About