scholarly journals Pre-saccadic attention to motion initiates predictive ocular following

2019 ◽  
Vol 19 (10) ◽  
pp. 303c
Author(s):  
Sunwoo Kwon ◽  
Martin Rolfs ◽  
Jude F. Mitchell
Keyword(s):  
Ocular Following

scholarly journals Neuronal responses in the cortical area MSTd during smooth pursuit and ocular following eye movements

2009 ◽  
Vol 10 (S1) ◽  
Author(s):  
Lukas Brostek ◽  
Seiji Ono ◽  
Michael J Mustari ◽  
Ulrich Nuding ◽  
Ulrich Büttner ◽  
...  
Keyword(s):  
Eye Movements ◽  
Smooth Pursuit ◽  
Cortical Area ◽  
Neuronal Responses ◽  
Ocular Following

scholarly journals Initial Ocular Following in Humans Depends Critically on the Fourier Components of the Motion Stimulus

2005 ◽  
Vol 1039 (1) ◽  
pp. 260-271 ◽  
Author(s):  
K J CHEN ◽  
B M SHELIGA ◽  
E J FITZGIBBON ◽  
F.A. MILES
Keyword(s):  
Motion Stimulus ◽  
Ocular Following

scholarly journals Effect of Vergence on Human Ocular Following Response (OFR)

2009 ◽  
Vol 102 (1) ◽  
pp. 513-522 ◽  
Author(s):  
Anand C. Joshi ◽  
Matthew J. Thurtell ◽  
Mark F. Walker ◽  
Alessandro Serra ◽  
R. John Leigh
Keyword(s):  
Visual Field ◽  
Temporal Frequency ◽  
Open Loop ◽  
Motion Processing ◽  
Sinusoidal Grating ◽  
Video Monitor ◽  
Gaze Shifts ◽  
Ocular Following ◽  
Moving Stimulus ◽  
Ocular Following Response

The human ocular following response (OFR) is a preattentive, short-latency visual-field–holding mechanism, which is enhanced if the moving stimulus is applied in the wake of a saccade. Since most natural gaze shifts incorporate both saccadic and vergence components, we asked whether the OFR was also enhanced during vergence. Ten subjects viewed vertically moving sine-wave gratings on a video monitor at 45 cm that had a temporal frequency of 16.7 Hz, contrast of 32%, and spatial frequency of 0.17, 0.27, or 0.44 cycle/deg. In Fixation/OFR experiments, subjects fixed on a white central dot on the video monitor, which disappeared at the beginning of each trial, just as the sinusoidal grating started moving up or down. We measured the change in eye position in the 70- to 150-ms open-loop interval following stimulus onset. Group mean downward responses were larger (0.14°) and made at shorter latency (85 ms) than upward responses (0.10° and 96 ms). The direction of eye drifts during control trials, when gratings remained stationary, was unrelated to the prior response. During vergence/OFR experiments, subjects switched their fixation point between the white dot at 45 cm and a red spot at 15 cm, cued by the disappearance of one target and appearance of the other. When horizontal vergence velocity exceeded 15°/s, motion of sinusoidal gratings commenced and elicited the vertical OFR. Subjects showed significantly ( P < 0.001) larger OFR when the moving stimulus was presented during convergence (group mean increase of 46%) or divergence (group mean increase of 36%) compared with following fixation. Since gaze shifts between near and far are common during natural activities, we postulate that the increase of OFR during vergence movements reflects enhancement of early cortical motion processing, which serves to stabilize the visual field as the eyes approach their new fixation point.

Short-latency ocular following of motion by monkeys during a fixation task

Neuroreport ◽  
1998 ◽  
Vol 9 (17) ◽  
pp. 3981-3987 ◽  
Author(s):  
Philip J. Benson ◽  
Kun Guo
Keyword(s):  
Short Latency ◽  
Ocular Following ◽  
Fixation Task

scholarly journals Ocular-following responses to white noise stimuli in humans reveal a novel nonlinearity that results from temporal sampling

2016 ◽  
Vol 16 (1) ◽  
pp. 8 ◽  
Author(s):  
Boris M. Sheliga ◽  
Christian Quaia ◽  
Edmond J. FitzGibbon ◽  
Bruce G. Cumming
Keyword(s):  
White Noise ◽  
Temporal Sampling ◽  
Ocular Following

scholarly journals Behavioral Receptive Field for Ocular Following in Humans: Dynamics of Spatial Summation and Center-Surround Interactions

2006 ◽  
Vol 95 (6) ◽  
pp. 3712-3726 ◽  
Author(s):  
Frédéric V. Barthélemy ◽  
Ivo Vanzetta ◽  
Guillaume S. Masson
Keyword(s):  
Visual Field ◽  
Receptive Field ◽  
Visual Motion ◽  
Neuronal Response ◽  
Spatial Summation ◽  
Visuomotor Transformations ◽  
Ocular Following ◽  
Linear Integration ◽  
Response Onset ◽  
Linear Contrast

Visual neurons integrate information over a finite part of the visual field with high selectivity. This classical receptive field is modulated by peripheral inputs that play a role in both neuronal response normalization and contextual modulations. However, the consequences of these properties for visuomotor transformations are yet incompletely understood. To explore those, we recorded short-latency ocular following responses in humans to large center-only and center-surround stimuli. We found that eye movements are triggered by a mechanism that integrates motion over a restricted portion of the visual field, the size of which depends on stimulus contrast and increases as a function of time after response onset. We also found evidence for a strong nonisodirectional center-surround organization, responsible for normalizing the central, driving input so that motor responses are set to their most linear contrast dynamics. Such response normalization is delayed about 20 ms relative to tracking onset, gradually builds up over time, and is partly tuned for surround orientation/direction. These results outline the spatiotemporal organization of a behavioral receptive field, which might reflect a linear integration among subpopulations of cortical visual motion detectors.

scholarly journals Temporal Firing Patterns of Purkinje Cells in the Cerebellar Ventral Paraflocculus During Ocular Following Responses in Monkeys II. Complex Spikes

1998 ◽  
Vol 80 (2) ◽  
pp. 832-848 ◽  
Author(s):  
Yasushi Kobayashi ◽  
Kenji Kawano ◽  
Aya Takemura ◽  
Yuka Inoue ◽  
Toshihiro Kitama ◽  
...  
Keyword(s):  
Firing Rate ◽  
Eye Movement ◽  
Purkinje Cells ◽  
Generalized Linear Model ◽  
Stimulus Motion ◽  
Ocular Following ◽  
Temporal Firing ◽  
Ventral Paraflocculus ◽  
Complex Spikes

Kobayashi, Yasushi, Kenji Kawano, Aya Takemura, Yuka Inoue, Toshihiro Kitama, Hiroaki Gomi, and Mitsuo Kawato. Temporal firing patterns of Purkinje cells in cerebellar ventral paraflocculus during ocular following responses in monkeys. II. Complex spikes. J. Neurophysiol. 80: 832–848, 1998. Many theories of cerebellar motor learning propose that complex spikes (CS) provide essential error signals for learning and modulate parallel fiber inputs that generate simple spikes (SS). These theories, however, do not satisfactorily specify what modality is represented by CS or how information is conveyed by the ultra-low CS firing rate (1 Hz). To further examine the function of CS and the relationship between CS and SS in the cerebellum, CS and SS were recorded in the ventral paraflocculus (VPFL) of awake monkeys during ocular following responses (OFR). In addition, a new statistical method using a generalized linear model of firing probability based on a binomial distribution of the spike count was developed for analysis of the ultra-low CS firing rate. The results of the present study showed that the spatial coordinates of CS were aligned with those of SS and the speed-tuning properties of CS and SS were more linear for eye movement than retinal slip velocity, indicating that CS contain a motor component in addition to the sensory component identified in previous studies. The generalized linear model to reproduce firing probability confirmed these results, demonstrating that CS conveyed high-frequency information with its ultra-low firing frequency and conveyed both sensory and motor information. Although the temporal patterns of the CS were similar to those of the SS when the sign was reversed and magnitude was amplified ∼50 times, the velocity/acceleration coefficient ratio of the eye movement model, an aspect of the CS temporal firing profile, was less than that of the SS, suggesting that CS were more sensory in nature than SS. A cross-correlation analysis of SS that are triggered by CS revealed that short-term modulation, that is, the brief pause in SS caused by CS, does not account for the reciprocal modulation of SS and CS. The results also showed that three major aspects of the CS and SS individual cell firing characteristics were negatively correlated on a cell-to-cell basis: the preferred direction of stimulus motion, the mean percent change in firing rate induced by upward stimulus motion, and patterns of temporal firing probability. These results suggest that CS may contribute to long-term interactions between parallel and climbing fiber inputs, such as long-term depression and/or potentiation.

scholarly journals Computational Studies on Acquisition and Adaptation of Ocular Following Responses Based on Cerebellar Synaptic Plasticity

2002 ◽  
Vol 87 (3) ◽  
pp. 1554-1571 ◽  
Author(s):  
Kenji Yamamoto ◽  
Yasushi Kobayashi ◽  
Aya Takemura ◽  
Kenji Kawano ◽  
Mitsuo Kawato
Keyword(s):  
Synaptic Plasticity ◽  
Brain Stem ◽  
Visual Motion ◽  
Climbing Fiber ◽  
Inhibitory Synapses ◽  
Ocular Following ◽  
Mst Neurons ◽  
P Cells ◽  
The Brain

To investigate how cerebellar synaptic plasticity guides the acquisition and adaptation of ocular following response (OFR), a large-scale network model was developed. The model includes the cerebral medial superior temporal area (MST), Purkinje cells (P cells) of the ventral paraflocculus, the accessory optic and climbing fiber systems, the brain stem oculomotor network, and the oculomotor plant. The model reconstructed temporal profiles of both firing patterns of MST neurons and P cells and eye movements. Model MST neurons ( n = 1,080) were set to be driven by retinal error and exhibited 12 preferred directions, 30 preferred velocities, and 3 firing waveforms. Correspondingly, each model P cell contained 1,080 excitatory synapses from granule cell axons (GCA) and 1,080 inhibitory synapses. P cells ( n = 40) were classified into four groups by their laterality (hemisphere) and by preferred directions of their climbing fiber inputs (CF) (contralateral or upward). The brain stem neural circuit and the oculomotor plant were modeled on the work of Yamamoto et al. The initial synaptic weights on the P cells were set randomly. At the beginning, P cell simple spikes were not well modulated by visual motion, and the eye was moved only slightly by the accessory optic system. The synaptic weights were updated according to integral-differential equation models of physiologically demonstrated synaptic plasticity: long-term depression and long-term potentiation for GCA synapses and rebound potentiation for inhibitory synapses. We assumed that maximum plasticity was induced when GCA inputs preceded CF inputs by 200 ms. After more than 10,000 presentations of ramp-step visual motion, the strengths of both the excitatory and inhibitory synapses were modified. Subsequently, the simple spike responses became well developed, and ordinary OFRs were acquired. The preferred directions of simple spikes became the opposite of those of CFs. Although the model MST neurons were set to possess a wide variety of firing characteristics, the model P cells acquired only downward or ipsilateral preferred directions, high preferred velocities and stereotypical firing waveforms. Therefore the drastic transition of the neural representation from the population codes in the MST to the firing-rate codes of simple spikes were learned at the GCA-P cell synapses and inhibitory cells-P cell synapses. Furthermore, the model successfully reproduced the gain- and directional-adaptation of OFR, which was demonstrated by manipulating the velocity and direction of visual motion, respectively. When we assumed that synaptic plasticity could only occur if CF inputs preceded GCA inputs, the ordinary OFR were acquired but neither the gain-adaptation nor the directional adaptation could be reproduced.

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