ライフサイエンスコーパス: moving object

1 t object motion, simulating an independently moving object.

2 -movement to heading in the direction of the moving object.

3 predictive capacity in the interception of a moving object.

4 he future by extrapolating the position of a moving object.

5 riginates from the bound states covering the moving object.

6 ptive fields permit only a limited view of a moving object.

7 icted to the case of stationary observer and moving object.

8 an adequately estimate the 3D locations of a moving object.

9 for the accurate real-time localization of a moving object.

10 motor mapping or increasing the speed of the moving object.

11 llows us to rapidly identify and intercept a moving object.

12 they differ in their performance tracking a moving object.

13 cy of heading judgments in the presence of a moving object.

14 erceived heading induced by an independently moving object.

15 igation, communication, and the awareness of moving objects.

16 rected, and (3) abrupt onsets and offsets of moving objects.

17 of improving estimates of the 3D velocity of moving objects.

18 eurons can control complex interactions with moving objects.

19 area PM helps guide behaviors involving slow-moving objects.

20 of motion without any prior on the shape of moving objects.

21 (ON and OFF cells, respectively), colour or moving objects.

22 nerated by the perspective transformation of moving objects.

23 irection preference for both bright and dark moving objects.

24 tion identifies differences between adjacent moving objects.

25 g infant's environment routinely consists of moving objects.

26 ile participants viewed simple animations of moving objects.

27 is not known how the brain decides to act on moving objects.

28 moving objects, and even segregate multiple moving objects.

29 ty to both the slit-viewed and fully visible moving objects.

30 he various local motion signals generated by moving objects.

31 constructed natural scenes with recognizable moving objects.

32 on fields generated by several independently moving objects.

33 ide proximally as stationary and distally as moving objects.

34 g their use in imaging only static or slowly moving objects.

35 ve eye movements to identifying and catching moving objects.

36 ooth pursuit eye movements allow us to track moving objects.

37 ity of mapping the stationary scenery behind moving objects.

38 es in spatial position over time afforded by moving objects.

39 allows animals to estimate the trajectory of moving objects.

40 obots, perching robots, or robots that catch moving objects.

41 ,(1)(,)(2) number adaptation can be bound to moving objects.

42 ements to explore visual scenes and to track moving objects.

43 distance and three-dimensional direction of moving objects.

44 ignals is critical for rapid segmentation of moving objects.

45 This area outperforms V1 in discriminating moving objects.

46 lf-motion and the other due to independently moving objects.

47 colliculus (SC) respond selectively to small moving objects.

48 distance and three-dimensional direction of moving objects.

49 ined retinal circuit enhances sensitivity to moving objects.

50 s that are highly directionally selective to moving objects.

51 ing visual motion produced by self-motion or moving objects.

52 c prey capture behavior in response to small moving objects.

53 ge in spatial position over time afforded by moving objects.

54 dimensions, as well as the ability to track moving objects.

55 ny locomotor tasks involve interactions with moving objects.

56 which typically includes stationary or slow moving objects.

57 imation of the three-dimensional velocity of moving objects.

58 isually guided interception and avoidance of moving objects.

59 t speeds to plan hand movements to intercept moving objects.

60 ibit an enhanced sensitivity to regressively moving objects.

61 nse recovery impair patients' ability to see moving objects.

62 preglomerular complex as cells responsive to moving objects.

63 eter-sized structures in both stationary and moving objects.

64 ting stereopsis to measuring the distance of moving objects against a stationary background, insects

65 When the moving object alone is experienced, the cell is weakly d

66 ) were instructed to track two, four, or six moving objects among a pool of identical distractors.

67 The difficulty of tracking multiple moving objects among identical distractors increases wit

68 stal of individually addressable ions as the moving object and a periodic light-field potential as th

69 s from hydrodynamic interactions between the moving object and the static cell surface.

70 , which, in turn, enhances the visibility of moving objects and accounts for the observed link betwee

71 short time and multi-dimensional sensing of moving objects and dynamical processes with fine tempora

72 on, disturbance of perception of velocity of moving objects and dyscalculia.

73 tuning resolve the world-relative motion of moving objects and establish perceptual stability.

74 tput of these cells could assist in tracking moving objects and estimating their future position.

75 age properties such as symmetry from rapidly moving objects and scenes.

76 unctions, such as encoding the velocities of moving objects and surfaces relative to the observer.

77 eld, the local edge detector, in response to moving objects and textures.

78 players exhibit a more robust VSTM trace for moving objects and this trace is less prone to external

79 mall spots depends on the vertical size of a moving object, and not on looming, it can function at a

80 ial muscles are needed for generating force, moving objects, and accomplishing work.

81 t it contributes to navigation, awareness of moving objects, and communication.

82 ive for differential motion can rapidly flag moving objects, and even segregate multiple moving objec

83 In motion standstill, a quickly moving object appears to stand still, and its details ar

84 at perceptions of the relative position of a moving object are determined by accumulated experience w

85 bout potential hazard induced by nearby fast-moving objects are demonstrated.

86 Moving objects are detected by virtue of their shifting

87 populations spontaneously start to represent moving objects as being further along their trajectory t

88 enes is important for detecting and tracking moving objects as well as for monitoring self-motion thr

89 n make saccadic eye movements to intercept a moving object at the right place and time.

90 ere observers monitor multiple independently moving objects at different locations in the visual fiel

91 e tracked neural position representations of moving objects at different stages of visual processing,

92 We demonstrated high-speed 3D videography of moving objects at up to 75 volumes per second.

93 ving animals often have difficulty detecting moving objects because self-generated optic flow pattern

94 mpensated, we would consistently mislocalize moving objects behind their physical positions.

95 Many everyday interactions with moving objects benefit from an accurate perception of th

96 n because moving edges, which are present in moving object boundaries, and saccades induce transients

97 hat PD patients are able to accurately track moving objects but make inaccurate eye movements toward

98 retina anticipate the location of a smoothly moving object, but that it can also signal violations in

99 epolarized VIP cells enhance V1 responses to moving objects by reducing self-induced surround suppres

100 he slow speed of phototransduction so that a moving object can be accurately located.

101 sition, trajectory, and contour profile of a moving object can be visualized in high resolution, demo

102 A moving object can cover a considerable distance in this

103 V1 neuron responses to some features of the moving objects can be selectively enhanced.

104 ple of causality imply that the speed of any moving object cannot exceed that of light in a vacuum (c

105 Because the retinal activity generated by a moving object cannot specify which of an infinite number

106 ys by bringing the represented position of a moving object closer to its instantaneous position in th

107 Cells close to a moving object code quasilinearly for its position, while

108 preference of these neurons for horizontally moving objects conforms the visual ecology of the crab's

109 el's heading estimate over time, even when a moving object crosses the future path.

110 When a moving object cuts in front of a moving observer at a 90

111 ll as the ability to measure the velocity of moving objects directly(11).

112 As a result, the W3 cell can detect small moving objects down to the receptive field size of bipol

113 ned how neurons represent the direction of a moving object during self-motion, while monkeys switched

114 namic environments, since interacting with a moving object (e.g., catching a ball) requires real-time

115 moderately subnormal, but the ability to see moving objects, especially with low-contrast, was severe

116 ales followed and extended their wing toward moving objects (even a moving piece of rubber band) inte

117 ividuals, although quick at perceiving small moving objects, exhibit disproportionately large impairm

118 d functional MRI to measure the responses to moving objects (faces, cars, simple spheres) and the fun

119 a perpendicular path just as if viewing the moving object from a stationary vantage point.

120 extrapolate the instantaneous position of a moving object from its past trajectory.

121 t participants were attempting to pursue the moving object in accord with the veridical motion proper

122 ability to predict the future location of a moving object in the brief time that it takes to perceiv

123 To track a moving object in the natural environment, its motion fir

124 In the flash-lag illusion, a flash and a moving object in the same location appear to be offset.

125 ur system in calculating the 3D locations of moving object in various directions.

126 On-Off DSGCs signal the spatial location of moving objects in complex, naturalistic visual environme

127 e multiple spatial frequencies that comprise moving objects in natural scenes.

128 In particular, the presence of independently moving objects in naturalistic environments limits the c

129 Fine motor control, moving objects in relation to the body, and stamina are

130 ignals produced both by self-movement and by moving objects in the environment.

131 lements while they were attentively tracking moving objects in the foreground.

132 L efferent neurons to encode the position of moving objects in the presence and absence of self-gener

133 tem is thought to represent the direction of moving objects in the relative activity of large populat

134 ng mechanisms in judging motion direction of moving objects in visual periphery (Experiment 1) and fo

135 and efference that facilitates tracking of a moving object, in a novel dual-task pursuit protocol.

136 te 3D imaging results of multiple static and moving objects, including a flexing human hand.

137 Tracking moving objects, including one's own body, is a fundament

138 s dramatically whereas the saturation of the moving object increases.

139 ern-motion cells' represent the direction of moving objects independent of their particular spatial p

140 The moving object induced significant biases in perceived he

141 c voltage to encode the actual position of a moving object instead of its delayed representation.

142 Determining the approach of a moving object is a vital survival skill that depends on

143 ation mechanisms required to predict where a moving object is at the present moment.

144 briefly presented flash in the vicinity of a moving object is misperceived to lag behind the moving o

145 ction selectivity of the On pathway when the moving object is on a homogenous background, but is requ

146 Keeping track of multiple moving objects is an essential ability of visual percept

147 The ability to detect moving objects is an ethologically salient function.

148 Maintaining stable gaze while tracking moving objects is commonplace across animal taxa, yet ho

149 ne illusion [3]), the perceived direction of moving objects is distorted (trajectory misperception [4

150 co-ordinate the eyes and head when tracking moving objects is important for survival.

151 Keeping track of the location of multiple moving objects is one of the well documented functions o

152 e suppressed, the direction of independently moving objects is represented in a world-relative rather

153 ropriate responses depend on experience with moving objects is still an open question.

154 ing object is misperceived to lag behind the moving object, is a useful tool for studying the dynamic

155 To track a moving object, its motion must first be distinguished fr

156 fluence on position is not restricted to the moving object itself, and that even the positions of sta

157 m (OAM) of a tilted light beam eclipsed by a moving object, lateral motion of the object can be detec

158 Moving objects may also occupy large portions of the vis

159 l challenge by extrapolating the position of moving objects (Nijhawan, 1994).

160 We have also imaged a moving object obscured by a scattering medium.

161 al findings that show that our perception of moving objects often depends on the motion of terminator

162 ntain motion signals originating either from moving objects or from retinal slip caused by self-motio

163 of quantum fluids are usually created using moving objects or laser potentials, directly perturbing

164 wing; we frequently rotate our eyes to track moving objects or to maintain fixation on an object duri

165 In this respect, moving objects play a specific role.

166 Interacting with a moving object poses a computational problem for an anima

167 n (heading) in the presence of independently moving objects poses a challenging inference problem bec

168 n human observers are required to localize a moving object relative to a flashed static object (the f

169 Intercepting a moving object requires prediction of its future location

170 Neural representations of a moving object's distance and approach speed are essentia

171 How are moving objects seamlessly tracked when they traverse vis

172 We image moving objects several meters beyond the end of an ~40-c

173 resents the anticipated future position of a moving object, showing that predictive mechanisms activa

174 havior in a visuomotor integration task with moving objects.SIGNIFICANCE STATEMENT Human perception a

175 m the eye to extrapolate the trajectory of a moving object, so that it is perceived at its actual loc

176 mechanical energy harvesting from arbitrary moving objects such as humans, a new mode of triboelectr

177 eans for accurately determining the depth of moving objects such as prey.

178 gregarious locusts respond earlier to small moving objects, such as conspecifics, than solitarious l

179 SLAM is best suited for fast imaging of moving objects, such as the heart, confined to 1/n of th

180 We show that when a moving object suddenly reverses direction, there is a br

181 und motion, rendering both LCs able to track moving objects superimposed against background motion.

182 o showed greater activity to a fully visible moving object than to the undistorted slit-viewed object

183 etter to terminators that are intrinsic to a moving object than to those that are accidents of occlus

184 For a continuously moving object, the brain compensates for delays in trans

185 ht is presented in physical alignment with a moving object, the flash is perceived to lag behind the

186 esponses (spike counts) to the position of a moving object, the network learns to represent the veloc

187 To detect moving objects, the brain must distinguish local motion

188 For moving objects, the mismatch in processing speed causes

189 The visual moving object then disappeared and was followed by a vib

190 e flies freeze in response to a regressively moving object, they ignore a progressively moving one.

191 is influenced by physical properties of the moving object, though the neural mechanisms underlying t

192 viewing conditions, observers can perceive a moving object through a narrow slit even when only porti

193 sent the reconstruction of depth profiles of moving objects through high levels of obscurant equivale

194 to extrapolate the trajectory of an occluded moving object to make perceptual judgments based on the

195 capable of extrapolating the trajectory of a moving object to predict its current position, despite t

196 ws that monovision can cause the distance of moving objects to be misestimated, with potentially seri

197 m software for automatic tracking of diverse moving objects usable on various microscope setups.

198 hrough predictively encoding the position of moving objects using information from their past traject

199 well as a reduction in eye velocity when the moving object was occluded.

200 ion thresholds measured in the presence of a moving object were largely consistent with the predictio

201 evoked activity, position representations of moving objects were activated substantially earlier than

202 vates an explicit neural representation of a moving object, which can then disrupt the representation

203 s move through environments containing other moving objects, which introduce optic flow that is incon

204 ften equipped with neurons that detect small moving objects, which may represent prey, predators, or

205 ce were presented with a potential threat (a moving object) while pursuing rewards.

206 lect an a priori expectation that a downward moving object will accelerate.

207 etinal circuitry effectively predicts that a moving object will continue moving in a straight line, a

208 t different times, it is possible to track a moving object with minimal computational effort and over

209 nits in head-fixed rats trained to contact a moving object with one whisker.

210 Tracking a moving object with the eyes seems like a simple task but

211 This visual component is recruited by large, moving objects with vertically extended edges-visual sti

212 mpromised because the observer must detect a moving object within the pattern of optic flow created b