Modeling inhibition of return as short-term depression of early sensory input to the superior colliculus

Satel, J; Wang, Zhiguo; Trappenberg, Thomas; Klein, Raymond M.

doi:10.1016/j.visres.2011.02.013

Cited by 42 publications

(95 citation statements)

References 54 publications

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“…For the lateral interactions, w ij describes the synaptic weight between neurons, and n is the number of nodes. The model also includes leakage (Ϫu), with decay time constant , effectively setting how fast activity can rise or fall, a constant u 0 describing the initial state (here set to 0), and noise, which varies at each time step (random walk), where is a normally distributed random variable ϭ N(0,1), whose amplitude is modulated by a (for details, see Trappenberg et al, 2001;Satel et al, 2011). The key difference between this model and models like ALIGATER is that target stimuli elicit, within the same population of interconnected neurons, a dual input signal causing a rapid and transient exogenous (automatic) rise in activity, followed by a sustained endogenous (selective) rise, which together make the accumulation to threshold highly nonlinear ( Fig.…”

Section: Neuronal Field Model: Architecturementioning

confidence: 99%

Saccadic Inhibition Reveals the Timing of Automatic and Voluntary Signals in the Human Brain

Bompas¹,

Sumner²

2011

J. Neurosci.

189

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Neurophysiological and phenomenological data on sensorimotor decision making are growing so rapidly that it is now necessary and achievable to capture it in biologically inspired models, for advancing our understanding in both research and clinical settings. However, the main impediment in moving from elegant models with few free parameters to more complex biological models in humans lies in constraining the more numerous parameters with behavioral data (without human single-cell recording). Here we show that a behavioral effect called "saccadic inhibition" (1) is predicted by existing complex (neuronal field) models, (2) constrains crucial temporal parameters of the model, precisely enough to address individual differences, and (3) is not accounted for by current simple decision models, even after significant additions. Visual onsets appearing while an observer plans a saccade knock out a subpopulation of saccadic latencies that would otherwise occur, producing a clear dip in the latency distribution. This overlooked phenomenon is remarkably well time locked across conditions and observers, revealing and characterizing a fast automatic component of visual input to oculomotor competition. The neural field model not only captures this but predicts additional features that are borne out: the dips show spatial specificity, are lawfully modulated in contrast, and occur with S-cone stimuli invisible to the retinotectal route. Overall, we provide a way forward for applying precise neurophysiological models of saccade planning in humans at the individual level.

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Section: Neuronal Field Model: Architecturementioning

confidence: 99%

Saccadic Inhibition Reveals the Timing of Automatic and Voluntary Signals in the Human Brain

Bompas¹,

Sumner²

2011

J. Neurosci.

189

View full text Add to dashboard Cite

show abstract

“…2 Cuing effects (in milliseconds, with standard deviations), as a function of cuing condition (exogenous 100, exogenous 800, or endogenous 500) and body position (seated, prone-pre, head down with neck flexed [HDNF], or prone-post). Negative values represent facilitation Ro, Farnè, & Chang, 2003) and posterior parietal cortex could lead to the augmentation or dissipation of typical IOR processes (Satel et al, 2011). In the present study, additional multisensory processing within the iSC that was associated with the atypical vestibular input may have led to the observed decrease in IOR during responses to the exogenous cues.…”

Section: General Discussion and Conclusionmentioning

confidence: 49%

“…The superior colliculus is a neural structure that has been implicated in the moderation of IOR during reflexive and volitional control (Anderson & Rees, 2011;Klein, 2000;Satel, Wang, Trappenberg, & Klein, 2011). Additionally, the superficial and intermediate layers of the superior colliculus (sSC and iSC) have been implicated as significant contributors to multisensory integration (Angelaki et al, 2009;Stein & Stanford, 2008).…”

Section: General Discussion and Conclusionmentioning

confidence: 99%

Body position differentially influences responses to exogenous and endogenous cues

McAuliffe

Johnson

Weaver

et al. 2013

Atten Percept Psychophys

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The influence of vestibular inputs on exogenous (Exp. 1) and endogenous (Exp. 2) orienting of visual attention was examined. The vestibular system was manipulated through a change in static body position. Participants engaged in an exogenous or endogenous response task while in a seated position, while lying in a prone position, and while in a prone position with their head down and neck flexed (HDNF). An attenuation of inhibition and facilitation effects during the exogenous task was observed in the HDNF position. However, responses to the cues remained similar in the endogenous task, irrespective of body position. The results reveal a potential dissociation between reflexive and volitional orienting of visual attention that is dependent on vestibular inputs.

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“…Since the discovery of IOR, various ICEs have been shown to be closely tied to the oculomotor system (e.g., Dorris et al, 2002;Posner et al, 1985;Sapir, Soroker, Berger, & Henik, 1999;Satel et al, 2011;. The term "oculomotor IOR" has been used in several recent studies to stress the importance of oculomotor activation in the generation of ICEs (or IOR; e.g., Hilchey et al, 2014;Klein & Hilchey, 2011;Wang et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Inhibitory cueing effects following manual and saccadic responses to arrow cues

Ding

Satel

et al. 2016

Atten Percept Psychophys

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With two cueing tasks, in the present study we examined output-based inhibitory cueing effects (ICEs) with manual responses to arrow targets following manual or saccadic responses to arrow cues. In all experiments, ICEs were observed when manual localization responses were required to both the cues and targets, but only when the cue-target onset asynchrony (CTOA) was 2,000 ms or longer. In contrast, when saccadic responses were made in response to the cues, ICEs were only observed with CTOAs of 2,000 ms or less-and only when an auditory cue-back signal was used. The present study also showed that the magnitude of ICEs following saccadic responses to arrow cues decreased with time, much like traditional inhibition-of-return effects. The magnitude of ICEs following manual responses to arrow cues, however, appeared later in time and had no sign of decreasing even 3 s after cue onset. These findings suggest that ICEs linked to skeletomotor activation do exist and that the ICEs evoked by oculomotor activation can carry over to the skeletomotor system.

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Modeling inhibition of return as short-term depression of early sensory input to the superior colliculus

Cited by 42 publications

References 54 publications

Saccadic Inhibition Reveals the Timing of Automatic and Voluntary Signals in the Human Brain

Saccadic Inhibition Reveals the Timing of Automatic and Voluntary Signals in the Human Brain

Body position differentially influences responses to exogenous and endogenous cues

Inhibitory cueing effects following manual and saccadic responses to arrow cues

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