Memory and prediction in natural gaze control

Díaz, Gabriel; Cooper, Joseph L.; Hayhoe, Mary

doi:10.1098/rstb.2013.0064

Cited by 55 publications

(89 citation statements)

References 56 publications

(73 reference statements)

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“…Recently, Hayhoe and her colleagues (Diaz, Cooper, & Hayhoe, 2013; Diaz, Cooper, Rothkopf, & Hayhoe, 2013; Hayhoe, McKinney, Chajka, & Pelz, 2012; Hayhoe, Mennie, Sullivan, & Gorgos, 2005; also Land & McLeod, 2000) have reported anticipatory eye movements in ball interception tasks. They proposed that an internal model of the world's dynamics is constructed and used to predict upcoming events and plan movements.…”

Section: Anticipatory Control Of Interceptive Action: Is An Internmentioning

confidence: 99%

On-line and model-based approaches to the visual control of action

2015

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Two general approaches to the visual control of action have emerged in last few decades, known as the on-line and model-based approaches. The key difference between them is whether action is controlled by current visual information or on the basis of an internal world model. In this paper, we evaluate three hypotheses: strong on-line control, strong model-based control, and a hybrid solution that combines on-line control with weak off-line strategies. We review experimental research on the control of locomotion and manual actions, which indicates that (a) an internal world model is neither sufficient nor necessary to control action at normal levels of performance; (b) current visual information is necessary and sufficient to control action at normal levels; and (c) under certain conditions (e.g. occlusion) action is controlled by less accurate, simple strategies such as heuristics, visual-motor mappings, or spatial memory. We conclude that the strong model-based hypothesis is not sustainable. Action is normally controlled on-line when current information is available, consistent with the strong on-line control hypothesis. In exceptional circumstances, action is controlled by weak, context-specific, off-line strategies. This hybrid solution is comprehensive, parsimonious, and able to account for a variety of tasks under a range of visual conditions.

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Section: Anticipatory Control Of Interceptive Action: Is An Internmentioning

confidence: 99%

On-line and model-based approaches to the visual control of action

2015

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“…Thereby, the model extends models of template search to the more naturalistic search mode, when no exact template, but only the category of the natural target object is given. Diaz et al [22] show that intercepting a ball after a bounce and the smooth pursuit eye movement associated with this task is not measurably affected by the occlusion of the ball's trajectory after the bounce event, providing evidence for a dominant role of memory in this task. Tatler et al [26] address the link between memory and action through attention for a realistic task.…”

Section: This Theme Issue At a Glancementioning

confidence: 99%

“…Nowadays, the efficient and highly precise measurement of temporal and spatial eye-movement parameters [21] has become an increasingly popular way to study attention. In this Theme Issue, eye movements as an overt index of visual selection are prominently featured in various papers [22][23][24][25][26][27][28] and their relation to covert shifts of attention explicitly addressed [29,30].…”

Section: Attention As Biased Competition: An Approach To Cross-domainmentioning

confidence: 99%

“…Only when understanding-as proposed throughout this Theme Issueattention as a combination of priority control and competition within and across domains as well as based on a solid theoretical and modelling framework [45,[62][63][64][65][66][67], quantitative hypotheses can be formulated that eventually allow both-a fully realistic scenario (task and environment) and sufficient experimental control. In this Theme Issue, we therefore use real-world tasks and natural stimuli as paradigmatic cases for integration of attentional selection across domains [22,26,28].…”

Section: Attention As Biased Competition: An Approach To Cross-domainmentioning

confidence: 99%

See 1 more Smart Citation

Attentional selection in visual perception, memory and action: a quest for cross-domain integration

Schneider

Einhäuser

Horstmann

2013

Phil. Trans. R. Soc. B

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For decades, the cognitive and neural sciences have benefitted greatly from a separation of mind and brain into distinct functional domains. The tremendous success of this approach notwithstanding, it is self-evident that such a view is incomplete. Goal-directed behaviour of an organism requires the joint functioning of perception, memory and sensorimotor control. A prime candidate for achieving integration across these functional domains are attentional processes. Consequently, this Theme Issue brings together studies of attentional selection from many fields, both experimental and theoretical, that are united in their quest to find overreaching integrative principles of attention between perception, memory and action. In all domains, attention is understood as combination of competition and priority control (‘bias’), with the task as a decisive driving factor to ensure coherent goal-directed behaviour and cognition. Using vision as the predominant model system for attentional selection, many studies of this Theme Issue focus special emphasis on eye movements as a selection process that is both a fundamental action and serves a key function in perception. The Theme Issue spans a wide range of methods, from measuring human behaviour in the real word to recordings of single neurons in the non-human primate brain. We firmly believe that combining such a breadth in approaches is necessary not only for attentional selection, but also to take the next decisive step in all of the cognitive and neural sciences: to understand cognition and behaviour beyond isolated domains.

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“…Such daily situations demand the proper prediction of these changes to achieve a fine visuomotor coordination (Hayhoe, McKinney, Chajka, & Pelz, ; Lalazar & Vaadia, ; Vaziri, Diedrichsen, & Shadmehr, ), which is characterized by a proactive gaze strategy that detects, in advance of the effector, the location of relevant sources of information. This predictive behavior has been demonstrated in natural scenarios during sports activities (Diaz, Cooper, & Hayhoe, ; Hayhoe & Ballard, ; Land & Furneaux, ; Land & McLeod, ; Mann, Spratford, & Abernethy, ), the navigation confronting obstacles during walking (Jovancevic‐Misic & Hayhoe, ; Patla & Vickers, ) and driving (Land, ; Land & Tatler, ) as well as under controlled paradigms during simple catching (Zago, McIntyre, Senot, & Lacquaniti, ; Zago et al., ) and stacking tasks, and even in the dark (Foerster, Carbone, Koesling, & Schneider, ). Recently, prediction has been proposed as a cognitive process that drives gaze control (Henderson, ; Sokolov, Miall, & Ivry, ).…”

Section: Introductionmentioning

confidence: 72%

Parallel learning processes of a visuomotor adaptation task in a changing environment

Mariman

Burgos

Maldonado

2018

Eur J of Neuroscience

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During the control of reaching movements, a key contribution of the visual system is the localization of relevant environmental targets. In motor adaptation processes, the visual evaluation of effector motor behavior enables learning from errors, which demands continuous visual attentional focus. However, most current adaptation paradigms include static targets; therefore, when a learning situation develops in a highly variable environment and there is a double demand for visual resources (environment and motor performance), the evolution of learning processes is unknown. In order to understand how learning processes evolve in a variable environment, a video game task was designed in which subjects were asked to manage a 60° counterclockwise‐rotated cursor to capture descending targets with initially unpredictable trajectories. During the task, the cursor and eye movements were recorded to dissect visuomotor coordination. We observed that the pursuit of the targets conditioned a predominant and continuous visual inspection of the environment instead of the rotated cursor. As learning progressed, subjects exhibited a linear reduction in directional error and selected a motor strategy based on the degree of reward, which improved the performance. These results suggest that when the environment demands high visual attention, error‐based and reinforced motor learning processes are implemented simultaneously, thus enabling efficient predictive behavior.

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Memory and prediction in natural gaze control

Cited by 55 publications

References 56 publications

On-line and model-based approaches to the visual control of action

On-line and model-based approaches to the visual control of action

Attentional selection in visual perception, memory and action: a quest for cross-domain integration

Parallel learning processes of a visuomotor adaptation task in a changing environment

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