scholarly journals Higher order, multifeatural object encoding by the oculomotor system

2018 ◽  
Vol 120 (6) ◽  
pp. 3042-3062 ◽  
Author(s):  
Devin H. Kehoe ◽  
Selvi Aybulut ◽  
Mazyar Fallah
Keyword(s):  
Visual Processing ◽  
Time Course ◽  
Target Selection ◽  
Oculomotor System ◽  
Higher Order ◽  
Movement Planning ◽  
Cognitive Information ◽  
Saccadic Target ◽  
Cortical Visual Processing ◽  
Vector Modulation

Previous behavioral and physiological research has demonstrated that as the behavioral relevance of potential saccade goals increases, they elicit more competition during target selection processing as evidenced by increased saccade curvature and neural activity. However, these effects have only been demonstrated for lower order feature singletons, and it remains unclear whether more complicated featural differences between higher order objects also elicit vector modulation. Therefore, we measured human saccades curvature elicited by distractors bilaterally flanking a target during a visual search saccade task and systematically varied subsets of features shared between the two distractors and the target, referred to as objective similarity (OS). Our results demonstrate that saccades deviated away from the distractor highest in OS to the target and that there was a linear relationship between the magnitude of saccade deviation and the number of feature differences between the most similar distractor and the target. Furthermore, an analysis of curvature over the time course of the saccade demonstrated that curvature only occurred in the first 20–30 ms of the movement. Given the multifeatural complexity of the novel stimuli, these results suggest that saccadic target selection processing involves dynamically reweighting vector representations for movement planning to several possible targets based on their behavioral relevance. NEW & NOTEWORTHY We demonstrate that small featural differences between unfamiliar, higher order object representations modulate vector weights during saccadic target selection processing. Such effects have previously only been demonstrated for familiar, simple feature singletons (e.g., color) in which features characterize entire objects. The complexity and novelty of our stimuli suggest that the oculomotor system dynamically receives visual/cognitive information processed in the higher order representational networks of the cortical visual processing hierarchy and integrates this information for saccadic movement planning.

scholarly journals Oculomotor Target Selection is Mediated by Complex Objects

2021 ◽  
Author(s):  
Devin Heinze Kehoe ◽  
Jennifer Lewis ◽  
Mazyar Fallah
Keyword(s):  
Time Course ◽  
Target Selection ◽  
Dorsal Stream ◽  
Oculomotor System ◽  
Task Demands ◽  
Frequency Error ◽  
Complex Objects ◽  
Vector Modulation ◽  
Featural Processing ◽  
Vector Representations

Oculomotor target selection often requires discriminating visual features, but it remains unclear how oculomotor substrates encoding saccade vectors functionally contribute to this process. One possibility is that oculomotor vector representations (observed directly as physiological activation or inferred from behavioral interference) of potential targets are continuously re-weighted by task-relevance computed elsewhere in specialized visual modules, while an alternative possibility is that oculomotor modules utilize local featural analyses to actively discriminate potential targets. Strengthening the former account, oculomotor vector representations have longer onset latencies for ventral- (i.e., color) than dorsal-stream features (i.e., luminance), suggesting that oculomotor vector representations originate from featurally-relevant specialized visual modules. Here, we extended this reasoning by behaviorally examining whether the onset latency of saccadic interference elicited by visually complex stimuli is greater than is commonly observed for simple stimuli. We measured human saccade metrics (saccade curvature, endpoint deviations, saccade frequency, error proportion) as a function of time after abrupt distractor onset. Distractors were novel, visually complex, and had to be discriminated from targets to guide saccades. The earliest saccadic interference latency was ~110 ms, considerably longer than previous experiments, suggesting that sensory representations projected into the oculomotor system are gated to allow for sufficient featural processing to satisfy task demands. Surprisingly, initial oculomotor vector representations encoded features, as we manipulated the visual similarity between targets and distractors and observed increased vector modulation response magnitude and duration when the distractor was highly similar to the target. Oculomotor vector modulation was gradually extinguished over the time course of the experiment.

scholarly journals Analog VLSI-Based Modeling of the Primate Oculomotor System

1999 ◽  
Vol 11 (1) ◽  
pp. 243-265 ◽  
Author(s):  
Timothy K. Horiuchi ◽  
Christof Koch
Keyword(s):  
Visual Processing ◽  
Large Scale ◽  
Target Selection ◽  
Saccadic Eye Movements ◽  
Oculomotor System ◽  
Analog Vlsi ◽  
Enabling Technology ◽  
Retinal Position ◽  
Cortical Visual Processing

One way to understand a neurobiological system is by building a simulacrum that replicates its behavior in real time using similar constraints. Analog very large-scale integrated (VLSI) electronic circuit technology provides such an enabling technology. We here describe a neuromorphic system that is part of a long-term effort to understand the primate oculomotor system. It requires both fast sensory processing and fast motor control to interact with the world. A one-dimensional hardware model of the primate eye has been built that simulates the physical dynamics of the biological system. It is driven by two different analog VLSI chips, one mimicking cortical visual processing for target selection and tracking and another modeling brain stem circuits that drive the eye muscles. Our oculomotor plant demonstrates both smooth pursuit movements, driven by a retinal velocity error signal, and saccadic eye movements, controlled by retinal position error, and can reproduce several behavioral, stimulation, lesion, and adaptation experiments performed on primates.

scholarly journals Goal-driven modulation as a function of time in saccadic target selection

2008 ◽  
Vol 61 (10) ◽  
pp. 1553-1572 ◽  
Author(s):  
Wieske Van Zoest ◽  
Mieke Donk
Keyword(s):  
Eye Movement ◽  
Response Latency ◽  
Time Course ◽  
Target Selection ◽  
Visual Selection ◽  
Full Time ◽  
Specific Target ◽  
Different Dimensions ◽  
Saccadic Target ◽  
Speed Accuracy

Four experiments were performed to investigate the contribution of goal-driven modulation in saccadic target selection as a function of time. Observers were required to make an eye movement to a prespecified target that was concurrently presented with multiple nontargets and possibly one distractor. Target and distractor were defined in different dimensions (orientation dimension and colour dimension in Experiment 1), or were both defined in the same dimension (i.e., both defined in the orientation dimension in Experiment 2, or both defined in the colour dimension in Experiments 3 and 4). The identities of target and distractor were switched over conditions. Speed–accuracy functions were computed to examine the full time course of selection in each condition. There were three major results. First, the ability to exert goal-driven control increased as a function of response latency. Second, this ability depended on the specific target–distractor combination, yet was not a function of whether target and distractor were defined within or across dimensions. Third, goal-driven control was available earlier when target and distractor were dissimilar than when they were similar. It was concluded that the influence of goal-driven control in visual selection is not all or none, but is of a continuous nature.

Short-term adaptation of electrically induced saccades in monkey superior colliculus

1996 ◽  
Vol 76 (3) ◽  
pp. 1744-1758 ◽  
Author(s):  
B. J. Melis ◽  
J. A. van Gisbergen
Keyword(s):  
Superior Colliculus ◽  
Time Course ◽  
Visual Target ◽  
Target Selection ◽  
Movement Planning ◽  
Error Signal ◽  
Short Term ◽  
End Point ◽  
Gradual Process ◽  
Short Term Adaptation

1. This study focuses on the neural mechanisms underlying short-term adaptation of saccadic eye movements in the rhesus monkey. Involuntary saccades of various amplitudes and directions (E-saccades) were elicited in complete darkness by electrical stimulation (< or = 50 microA) in the deeper layers of the superior colliculus (SC) at 30 different sites in two monkeys. E-saccades at a given site could be adapted by presenting a visual target at a small distance from the expected end point immediately after their occurrence. The monkeys were trained to null the ensuing error signal by making the appropriate correction saccade to the visual target in many successive trials (E-adap paradigm). By properly adjusting the location of the visual target relative to the end point of the E-saccade, the latter could be modified in amplitude as well as in direction. 2. E-saccade modifications were highly significant, always in the intended direction, and occurred only if a postsaccadic visual error signal was created. These changes were plastic and required a subsequent E-adap series with an opposite error signal to cancel them. Their time course, both during the adaptation and the readaptation period, indicated that the modification was a slow and gradual process, as has been observed earlier in classical visual adaptation experiments. 3. Postadaptation tests, assessing whether the adaptation of E-saccades was also noticeable in normal visually guided saccades (V-saccades), showed incomplete adaptation transfer that was significant in most cases. A similar result, significant in all cases, was obtained with an extended version of the E-adap paradigm in which movement planning on the basis of target selection was possible. In this case, a presaccadic visual target was presented at the expected end point of the E-saccade, which was evoked just before the monkey would make a voluntary saccade itself (VE-adap). 4. In another series of experiments, V-saccades, which were matched to the optimal saccade vector of the particular collicular site under investigation, were adapted with the classical intrasaccadic target shift paradigm (V-adap). In agreement with earlier findings, this V-adaptation showed no transfer to the E-saccades. This result was obtained even in trials in which movement planning on the basis of target selection was possible (VE-test). 5. Our experiments have shown that saccades of collicular origin can be adapted and that presaccadic target selection is not crucial for this process. Both results are nicely in line with an existing model featuring a downstream adaptive corrector with access to SC inputs. This scheme, however, does not explain why the degree of saccadic adaptation, achieved by applying any of the three adaptation paradigms (E-adap, EV-adap, or V-adap), was never equally expressed in V- and E-saccades. Arguments for extending the model by adding a cortical input from the frontal eye fields to the adaptive corrector are discussed.

scholarly journals Spatial attention during saccade decisions

2017 ◽  
Vol 118 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Donatas Jonikaitis ◽  
Anna Klapetek ◽  
Heiner Deubel
Keyword(s):  
Decision Making ◽  
Spatial Attention ◽  
Time Course ◽  
Target Selection ◽  
Strong Association ◽  
Oculomotor System ◽  
Visual Sensitivity ◽  
Saccade Target ◽  
Selection History ◽  
Target Locations

Behavioral measures of decision making are usually limited to observations of decision outcomes. In the present study, we made use of the fact that oculomotor and sensory selection are closely linked to track oculomotor decision making before oculomotor responses are made. We asked participants to make a saccadic eye movement to one of two memorized target locations and observed that visual sensitivity increased at both the chosen and the nonchosen saccade target locations, with a clear bias toward the chosen target. The time course of changes in visual sensitivity was related to saccadic latency, with the competition between the chosen and nonchosen targets resolved faster before short-latency saccades. On error trials, we observed an increased competition between the chosen and nonchosen targets. Moreover, oculomotor selection and visual sensitivity were influenced by top-down and bottom-up factors as well as by selection history and predicted the direction of saccades. Our findings demonstrate that saccade decisions have direct visual consequences and show that decision making can be traced in the human oculomotor system well before choices are made. Our results also indicate a strong association between decision making, saccade target selection, and visual sensitivity. NEW & NOTEWORTHY We show that saccadic decisions can be tracked by measuring spatial attention. Spatial attention is allocated in parallel to the two competing saccade targets, and the time course of spatial attention differs for fast-slow and for correct-erroneous decisions. Saccade decisions take the form of a competition between potential saccade goals, which is associated with spatial attention allocation to those locations.

scholarly journals Distinct recruitment of feed-forward and recurrent pathways across higher-order areas of mouse visual cortex

2020 ◽  
Author(s):  
Jennifer Y. Li ◽  
Charles A. Hass ◽  
Ian Matthews ◽  
Amy C. Kristl ◽  
Lindsey L. Glickfeld
Keyword(s):  
Visual Processing ◽  
Higher Order ◽  
Feed Forward ◽  
Cortical Areas ◽  
Physiological Properties ◽  
Cortical Visual Processing ◽  
Visual Cortical ◽  
Mouse Visual Cortex ◽  
Whole Cell Recordings

AbstractCortical visual processing transforms features of the external world into increasingly complex and specialized neuronal representations. These transformations arise in part through target-specific routing of information; however, within-area computations may also contribute to area-specific function. Here, we sought to determine whether higher-order visual cortical areas LM, AL, PM, and AM have specialized anatomical and physiological properties by using a combination of whole-cell recordings and optogenetic stimulation of V1 axons in vitro. We discovered area-specific differences in the strength of recruitment of interneurons through feed-forward and recurrent pathways, as well as differences in cell-intrinsic properties and interneuron densities. These differences were most striking when comparing across medial and lateral areas, suggesting that these areas have distinct profiles for net excitability and integration of V1 inputs. Thus, cortical areas are not defined simply by the information they receive, but also by area-specific circuit properties that enable specialized filtering of these inputs.

scholarly journals Alzheimer’s Disease Progressively Reduces Visual Functional Network Connectivity

2021 ◽  
pp. 1-14
Author(s):  
Jie Huang ◽  
Paul Beach ◽  
Andrea Bozoki ◽  
David C. Zhu
Keyword(s):  
Visual Cortex ◽  
Lower Order ◽  
Resting State ◽  
Visual Processing ◽  
Network Connectivity ◽  
Higher Order ◽  
Functional Network ◽  
Functional Networks ◽  
The Face ◽  
Processing Network

Background: Postmortem studies of brains with Alzheimer’s disease (AD) not only find amyloid-beta (Aβ) and neurofibrillary tangles (NFT) in the visual cortex, but also reveal temporally sequential changes in AD pathology from higher-order association areas to lower-order areas and then primary visual area (V1) with disease progression. Objective: This study investigated the effect of AD severity on visual functional network. Methods: Eight severe AD (SAD) patients, 11 mild/moderate AD (MAD), and 26 healthy senior (HS) controls undertook a resting-state fMRI (rs-fMRI) and a task fMRI of viewing face photos. A resting-state visual functional connectivity (FC) network and a face-evoked visual-processing network were identified for each group. Results: For the HS, the identified group-mean face-evoked visual-processing network in the ventral pathway started from V1 and ended within the fusiform gyrus. In contrast, the resting-state visual FC network was mainly confined within the visual cortex. AD disrupted these two functional networks in a similar severity dependent manner: the more severe the cognitive impairment, the greater reduction in network connectivity. For the face-evoked visual-processing network, MAD disrupted and reduced activation mainly in the higher-order visual association areas, with SAD further disrupting and reducing activation in the lower-order areas. Conclusion: These findings provide a functional corollary to the canonical view of the temporally sequential advancement of AD pathology through visual cortical areas. The association of the disruption of functional networks, especially the face-evoked visual-processing network, with AD severity suggests a potential predictor or biomarker of AD progression.

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