ライフサイエンスコーパス: object

1 animate (we can caution a person, but not an object).

2 gorical comparisons (human, animal, tool, or object).

3 nces all spatial locations that comprise the object.

4 microsaccades, occur even while foveating an object.

5 f an object, and the actions related to that object.

6 ng sensory signals originating from a single object.

7 cially sensitive to the presence of multiple objects.

8 s of cells, containing over 70,000 segmented objects.

9 tal episodic encoding events of trial-unique objects.

10 courses of mental imagery and perception of objects.

11 ct as short-term attractors for all floating objects.

12 better identify moving peripheral hazardous objects.

13 not navigable but typically contain multiple objects.

14 , communication, and the awareness of moving objects.

15 Nuclear spins are highly coherent quantum objects.

16 ge can also shape our knowledge about visual objects.

17 ne debris and compare it to the nonweathered objects.

18 ethod for efficient characterization of nano-objects.

19 objects appeared sharper than those of novel objects.

20 ps and intentions afforded by the contextual objects.

21 abstract concept of "middle" in a series of objects.

22 as the basis for the single-pixel imaging of objects.

23 onceptual and perceptual properties of those objects.

24 coding capacity to approximately reconstruct objects.

25 nto temporal features of the attended visual objects.

26 ncoded the historical value memory of visual objects.

27 Nr neurons show inhibitory responses to good objects.

28 ithms that perform a comparison (ranking) of objects.

29 salience contributes to prioritization among objects.

30 resented relative to human faces and matched objects.

31 on and the other due to independently moving objects.

32 yet we sometimes perceive illusory faces in objects.

33 ce and three-dimensional direction of moving objects.

34 e monkeys learned choices between actions or objects.

35 M) reconstruction of multiple 3D DNA origami objects.

36 processes auditory, visual, and audiovisual objects.

37 hand actions, like reaching for and grasping objects.

38 sounds rapidly to avoid collisions with near objects.

39 ed their own NumPy-like interfaces and array objects.

40 wed marked head lag and did not reach out to objects.

41 inate during the visually guided grasping of objects.

42 y its strength against collisions with other objects(1,2) (impact strength).

43 to 1) the spatial arrangements of the target objects, 2) the perspective of the addressee or 3) the k

44 ncounter with the cold classical Kuiper Belt object (486958) Arrokoth (provisional designation 2014 M

45 buildings) and changes in attention to those objects affect the frequency content of local field pote

46 At test, infants saw each training object again, presented in silence along with a new obje

47 independently and dynamically manipulate 3D objects, airflow fields, and odor plumes in virtual real

48 ing, they viewed these and two other control objects, allowing us to measure the neural representatio

49 Furthermore, humans can accurately rate objects along these dimensions, highlighting their inter

50 the photon radiation pressure applied to the object and of the photon number in the photoelectric det

51 f convolutional layers of a DCNN trained for object and scene categorization with neural representati

52 erally, they support the distinction between object and scene processing as an organizing principle o

53 arch has shown that this distinction between object and scene processing is one of the main organizin

54 eraction between LOC and OPA stimulation and object and scene recognition performance (Dilks et al.,

55 ptibility and density difference between the object and the surrounding liquid.

56 disjunctive inference to identify the hidden object and use this logical conclusion to assess the con

57 in encoding near (compared with far) visual objects and (2) the fact that near objects are more freq

58 onments are characterized both by individual objects and by global scene properties.

59 locentric (map-based) vectors to boundaries, objects and goals.

60 clinical studies, the electrodes are foreign objects and might therefore be expected to induce a loca

61 sual processing when it comes to recognizing objects and orienting to the environment, especially at

62 ociation between LOC and OPA in representing objects and scenes is currently limited, however.

63 thin DCNNs layers trained to identify visual objects and scenes.

64 on all occasions when required, disinfecting objects and surfaces, physical distancing, and not touch

65 sh bones (FB) are the most commonly ingested objects and the most common cause of foreign body perfor

66 ows for the integration with functional nano-objects and their organization in larger-scale systems.

67 a spatially cued location to the underlying object, and enhances all spatial locations that comprise

68 e us to produce a recognizable drawing of an object, and how does this visual production experience i

69 e dorsal pathway computes the location of an object, and the actions related to that object.

70 rticipants viewed a display including faces, objects, and a subthreshold motion hidden in the backgro

71 method, we artificially destruct irrelevant objects, and construct new objects with known topologica

72 uced the representation of place fields near objects, and prevented a shift in representation to the

73 cular categories (e.g. faces, bodies, hands, objects, and scenes).

74 self-assembly principles, i.e. wireframe DNA objects, and to study the properties of DNA objects unde

75 oss learning, the population distribution of object-angle tuning preferences remained stable.

76 the most task-relevant sensory component on object-angle tuning.

77 changes in viewing conditions that can alter object appearance but not identity.

78 ence for the influence of past experience to object appearance, consistent with dynamic interactive m

79 nt levels of blur, the borders of well-known objects appeared sharper than those of novel objects.

80 tential hazard induced by nearby fast-moving objects are demonstrated.

81 r) visual objects and (2) the fact that near objects are more frequently found in lower rather than u

82 These objects are unresolved (having a size of the order of 10

83 When using objects as the unit of analysis, we found that highly sa

84 They require keeping track of multiple objects as they move through space and time.

85 al maze during a foraging task and a context-object associative memory task.

86 rgy, color and intensity, emitted from a hot object at thermal equilibrium.

87 d feature attention, but also for high-level object attention in humans.SIGNIFICANCE STATEMENT Attent

88 hese novel spectacles may enhance peripheral objects awareness by enlarging the functional field of v

89 s, we compared effects of location-based and object-based visual salience in young and older (65 + ye

90 ically modulated polarised laser beams - an 'object beam' that passes through the sample under test a

91 ed, we would consistently mislocalize moving objects behind their physical positions.

92 ically driven representations, linked to the object being accessed, and the flexible recruitment of s

93 lly discriminated the solid shape of natural objects (bell peppers, Capsicum annuum).

94 proach the larger of two groups of identical objects, but in a 3 vs 4 comparison, their performance i

95 ved in two ways: One can individuate a scene object by object, or alternatively group objects into en

96 and undulating surfaces and while localizing objects by 20%, 10%, and 18%, respectively.

97 gh OPA already responded more to scenes than objects by age 5, responses to first-person perspective

98 ep track of visual, auditory and audiovisual objects by remapping their eye-centered representations

99 the precision with which the position of an object can be measured continuously, known as the standa

100 Actuation by light has important advantages: Objects can be actuated from a distance, distinct freque

101 changes in visual stimuli depicting specific objects (cars, faces, and buildings) and changes in atte

102 d with fear generalization to the reinforced object category in the striatum, anterior cingulate cort

103 ) viewed four distinct objects from the same object category, each introduced in conjunction with eit

104 y EEG alpha differed with the to-be-attended object category.

105 figuration and lift force during a dexterous object-centric action in a large sample of male and fema

106 Object constancies are central constructs in theories of

107 ly visual cortex is necessary for perceptual object constancy, it is unnecessary for grip constancy,

108 Objects constitute the fundamental currency of our consc

109 he equilibrium structure and dynamics of DNA objects constructed using off-lattice self-assembly prin

110 ly, we tested the ability of rats to perform object-context discrimination, which has been proposed t

111 nd the stored representation of the expected object-context pairing.

112 This shows that the memory for object-context semantic associations is activated regard

113 sion (in light, but barred from touching the objects) could subsequently discriminate those same obje

114 ained to discriminate two differently shaped objects (cubes and spheres) using only touch (in darknes

115 t context promotes the visual recognition of objects, decades of research have led to the pervasive n

116 widely varying orbits derived for the six G objects demonstrate that they were commonly but separate

117 State-of-the-art deep learning for object detection is poised to improve the accuracy and e

118 Object detection networks are high-performance algorithm

119 ) and Topological Image Processing (TIP) for object detection.

120 a way to generate similarity estimates from object dimensions alone.

121 oduced 49 highly reproducible and meaningful object dimensions that reflect various conceptual and pe

122 Understanding object-directed actions performed by others is central t

123 me, such that population activity represents object direction in either reference frame.

124 ched, from trial to trial, between reporting object direction in head- and world-centered reference f

125 uced an approach for calculation of the full object distance in the frame of Principal Component Anal

126 e condition), a distinct novel noun for each object (Distinct Names condition), or the same sine-wave

127 -sum (DAS) beamforming which can resolve two objects down to 2.1lambda within the acoustic Fresnel zo

128 neurons represent the direction of a moving object during self-motion, while monkeys switched, from

129 ow banana) relative to incongruently colored objects (e.g., a red banana).

130 rn of brain activity for congruently colored objects (e.g., a yellow banana) relative to incongruentl

131 se of apes would have indicated an undesired object, either due to 1) the spatial arrangements of the

132 stimulation and CA1 calcium imaging with an object-exploration task, and found that cerebellar stimu

133 Label-free optical imaging of nanoscale objects faces fundamental challenges.

134 n-language users (signers) recognized visual objects faster when oriented as in the sign, and this ma

135 ML) for detection of laterally subwavelength object features in tissue-like phantoms beyond the phono

136 results in a detailed representation of the object following Gestalt principles.

137 he fraction of light transmitted through the object for each multimode pattern.

138 One of the most important objects for a primate is a face.

139 again, presented in silence along with a new object from the same category.

140 nced materials due to its ability to produce objects from a variety of materials, ranging from soft p

141 g, all infants (n = 77) viewed four distinct objects from the same object category, each introduced i

142 ults indicate a multifocal representation of object geometry for grasping in the PMC and expand our u

143 , particularly about where to expect certain objects given scene context, might be learned implicitly

144 lementary motor area, plays a direct role in object grasping.

145 e assessed for visual/hand coordination with object-grasping tests.

146 Determining where an object has been is a fundamental challenge for human hea

147 ing the observer's attention to the relevant object, has remained elusive.

148 s) or relativistic shocks launched from such objects have been much debated.

149 ands of images to provide sufficient example objects (i.e. cells), but also contain an adequate degre

150 to measure the neural representation of each object in visual cortex.

151 mobilization of compartmentalized microscale objects in 3D hydrogels provides a step towards the modu

152 ration of multiple modalities to navigate to objects in a complex 3D landscape while in flight.

153 ditive manufacturing (VAM) forms complete 3D objects in a single photocuring operation without layeri

154 g training, participants repeatedly drew two objects in an alternating sequence on an MR-compatible t

155 ce in computer vision, to detect blob-shaped objects in contact maps.

156 ed to the task of identifying and localizing objects in photography images.

157 s that we are able to identify the important objects in relevant regions of the image.

158 o analyzing the stability of fixed geometric objects in state space (e.g points, lines, planes), but

159 e enabled us to estimate that the irradiated objects in the interstellar medium were up to 30 times l

160 Quantum control of complex objects in the regime of large size and mass provides op

161 ates-spheroids-have become widely used model objects in the study of this phenomenon.

162 to convey rich perceptual information about objects in the world.

163 g normal viewing, we direct our eyes between objects in three-dimensional (3D) space many times a min

164 y proportional to the applied force, just as objects in viscous media.

165 Therefore, learning the values of novel objects increases the dimensionality of neural represent

166 scillations may be a key signature for focal object individuation versus distributed ensemble groupin

167 Engineering the assembly of nanoscale objects into complex and prescribed structures requires

168 ene object by object, or alternatively group objects into ensembles.

169 Seeing an object is a natural source for learning about the object

170 ication (e.g., when the colour or size of an object is perceptually salient and its mention aids the

171 ual production experience influence how this object is represented in the brain?

172 monstrated approaches still require that the object is trapped at the high-light-intensity region.

173 Intentional control over external objects is informed by our sensory experience of them.

174 is unclear how the representation of visual objects is organized in this part of the brain.

175 ning are helping to identify how the mass of objects is processed in the brain.

176 he identification and tracking of foreground objects like speech during natural listening.

177 on of synaptic plasticity and in response to object location learning.

178 l ELE formed lasting long-term memory for an object location memory task, whereas sedentary and adol

179 additionally noted a selective deficit on an object location memory task, which requires objection-lo

180 Object location was decodable with submillimeter precisi

181 knowledge of the addressee about the target objects' location.

182 modal map which keeps track of multi-sensory object locations across our movements to create an impre

183 on of neural population responses called an 'object manifold'.

184 rain space where location and size of visual objects may be measured by counting neurons.

185 they represent formation channels of compact-object mergers(7).

186 LC12 is selective for the motion of discrete objects, mostly independent of size.

187 anisms capture findings on the perception of object motion during self-motion.SIGNIFICANCE STATEMENT

188 oth the retina and the visual cortex process object motion in largely unbiased fashion: all direction

189 dies were performed on DS neurons related to object motion processing.

190 el invoking either magnetospheres of compact objects (neutron stars or black holes) or relativistic s

191 e or light radiation), adding to the printed object new interesting properties exploited after the fa

192 the successive activation of all parts of an object, occurs in early visual cortex and results in a d

193 Since its discovery, it became an object of intense research, which led to the observation

194 ing electrohydrodynamic techniques have been object of interest in the scientific community as well a

195 lth, property and ultimately also on various objects of cultural heritage (CH).

196 language facilitates discrimination between objects of the same kind (e.g., different cars), an effe

197 vealed that single IT cells project incoming objects onto specific axes of this space.

198 ways: One can individuate a scene object by object, or alternatively group objects into ensembles.

199 boundary extension has typically focused on object-oriented images that are not representative of ou

200 We developed CoMut, a stand-alone, object-oriented Python package that creates comutation p

201 idly growing field seeking to form images of objects outside the field of view, with potential applic

202 y encoded overlapping associations (BC shape-object pairs).

203 The brain mechanisms underpinning object perception are yet to be understood.

204 ccipital cortex, which is involved in visual-object perception, is organized such that the inferior p

205 aused by the physiological stimulus of novel object placement.

206 ulation responses of sensory neurons, and an object presented under varying conditions gives rise to

207 In fact, our analyses of early object processing in AlexNet, a standard visual deep net

208 ch have led to the pervasive notion that the object processing pathway in primate cortex consists of

209 lable microbial spore system that identifies object provenance in under 1 hour at meter-scale resolut

210 e flexibility, social interaction, and novel object recognition (NOR).

211 .SIGNIFICANCE STATEMENT Neural correlates of object recognition have traditionally been studied by fl

212 Stress did impair novel object recognition in both sexes and social preference i

213 The deficit in long-term object recognition memory was restored by the administra

214 tion observation network (AON) and a ventral object recognition pathway.

215 It is crucial for many tasks, from object recognition to tool use, and yet how the brain re

216 nferotemporal (IT) cortex is responsible for object recognition, but it is unclear how the representa

217 eral occipital complex) selectively impaired object recognition, while TMS over scene-selective corte

218 e importance of low-level image features for object recognition.

219 We find that hippocampal responses to the objects reflect their relative distances in a space defi

220 ories in isolation but are also sensitive to object relationships that reflect statistical regulariti

221 onstancy," in which the perceived size of an object remains stable despite changes in viewing distanc

222 ctively create temporal stability of several objects remains unsolved.

223 ritical to producing behaviorally sufficient object representations in IT.

224 l that indexes the formation of individuated object representations.

225 y encoding and the formation of individuated object representations.SIGNIFICANCE STATEMENT Covert spa

226 Vortices are topological objects representing the circular motion of a fluid.

227 Our results suggest that object responses can be strikingly malleable, rather tha

228 etical frameworks of human vision argue that object responses remain stable, or 'invariant', despite

229 Responses of IT cells to a large set of objects revealed that single IT cells project incoming o

230 lity by compensating for small changes of an object's appearance across memory episodes.

231 t is a natural source for learning about the object's configuration.

232 rection must often be combined to predict an object's future position or to derive a 3D structure.

233 Passive radiative cooling, dissipating an object's heat through an atmospheric transparency window

234 interocular comparisons serve to compute an object's movement at close range.

235 to reconstruct fine details of a reflecting object's shape.

236 ng.SIGNIFICANCE STATEMENT How we perceive an object's size is not entirely determined by its physical

237 dual with such a lesion remains tuned to the object's true size, providing evidence for separate repr

238 ity, collimator penetration, hardware versus object scatter, spectral crosstalk, spatial resolution,

239 nderlying the dynamic processing of multiple-object scenarios, which are modulated by grouping strate

240 Furthermore, our results suggest that object selection occurs automatically, without involving

241 eregistered protocol, we found that TMS over object-selective cortex (lateral occipital complex) sele

242 e propose a new quantitative model for small object selectivity based on the physiology and anatomy o

243 We show that her perceptual estimates of object size co-vary with retinal-image size rather than

244 ormal scaling of in-flight grasp aperture to object size despite changes in viewing distance.

245 fore the capture strike, are tuned to larger object sizes and are frequently not direction-selective,

246 apacities pertaining to the understanding of objects, space, and causality.

247 imination, reversal learning, rule-based, or object-spatial paired associates learning, suggesting pr

248 own that even routinely experienced everyday objects such as brands can trigger cognitively engaging,

249 ally improved performance for boundary-based objects (t(980) = 1.972, p = 0.049), it was outweighed b

250 animals learned the values of novel pairs of objects, than across blocks in which they learned the va

251 gu is thought to be a primitive carbonaceous object that contains hydrated minerals and organic molec

252 s an immediate illusion of touching a harder object that does not depend on the gradual development o

253 Logos are rendered as native matplotlib objects that are easy to stylize and incorporate into mu

254 ut also leads to size-dependent transport of objects that depends on the local density of the cytoske

255 unately, segmenting low-contrast overlapping objects that may be tightly packed is a major bottleneck

256 aradigm, observers saw images of animals and objects that were visible or invisible, depending on the

257 reshaping and positioning of small delicate objects (the "thick fingers" problem), and can be applie

258 w Horizons spacecraft flew past one of these objects, the 36-kilometer-long contact binary (486958) A

259 These judgments differ in their typical objects, the information they process, their speed, and

260 ventral pathway computes the identity of an object; the dorsal pathway computes the location of an o

261 a representational similarity to elliptical objects, then a circular coin should, when rotated, impa

262 isingly object to experiments only when they object to a policy or treatment the experiment contains,

263 ent contains, or 2) people can paradoxically object to experiments even when they approve of implemen

264 omized experiments: 1) People unsurprisingly object to experiments only when they object to a policy

265 er two competing hypotheses about why people object to randomized experiments: 1) People unsurprising

266 ast to minimize tilting a visually symmetric object towards its concealed asymmetric center of mass (

267 ctured motion stimuli benefit human multiple object tracking performance.

268 35) participants were tested in the Multiple Object Tracking task (MOT).

269 ge-segmentation and heuristic algorithms for object tracking, the software also allows tracking of bo

270 ties have been explored for stable nanoscale object trapping(4-13).

271 he brain into a mental representation of the object under investigation.

272 Why can we not see nanoscale objects under a light microscope?

273 objects, and to study the properties of DNA objects under a variety of environmental conditions, suc

274 th measured trajectories of fish tracking an object using electrosense, a mammal and an insect locali

275 we call SARA-COIL is used to reconstruct the object using only the pre-measured multimode patterns th

276 ) could subsequently discriminate those same objects using only the other sensory information.

277 tex, V1, can result in the perceived size of objects varying with the size of their retinal image.

278 Reconciling the salience view with the object view, we suggest that visual salience contributes

279 presentational signature from both scene and object views in visual cortex.

280 sing fixation guidance without recurrence to objects, visual salience predicted whether image patches

281 The same object was analysed by Raman and Fourier-transform infra

282 representation to the novel location when an object was moved.

283 Absence of single-file round/ovoid objects was associated with a BCVA of 6/36 to 6/9 (odds

284 pressed by the observer's expectations about object weight and that this suppression is mediated by t

285 visual information, do not match the actual object weight as revealed by the observed movement kinem

286 at motor resonance is not robustly driven by object weight but easily masked by a suppressive mechani

287 When objects were all identical, chicks performed randomly, a

288 We found that 2-D images of objects were arranged according to conceptual (typical l

289 it of analysis, we found that highly salient objects were more frequently selected for fixation than

290 ften-found processing advantages for animate objects were not evident under multisensory conditions.

291 an AC-association, so B (a scene) and C (an object) were indirectly linked through A (a pseudoword).

292 ns of auditory stimuli, or exposure to novel objects, were impaired, reminiscent of findings in schiz

293 h contrasts allow scholars to identify those objects which are less likely to have been made by mixin

294 to a greater neural enhancement of inanimate objects-which are more weakly encoded under unisensory c

295 LOC selectively impaired the recognition of objects, while TMS over OPA selectively impaired the rec

296 struct irrelevant objects, and construct new objects with known topological properties in irrelevant

297 e more frequently selected for fixation than objects with low visual salience.

298 cores in identifying and counting peripheral objects with the remapped images were the main outcome m

299 on were resolved down to 0.50lambda for hard objects, with tissue approximating masses slightly highe

300 Rather than magnetizing the objects within the hydrogel, the magnetic susceptibility