ライフサイエンスコーパス: visual area

1 as compared to the parietal association and visual area.

2 ion reduces feed-forward activity in primary visual area.

3 re was no evidence for sensory fusion in any visual area.

4 quantifiable criteria for what constitutes a visual area.

5 responding change in the size of the primary visual area.

6 extend one full area further, into the third visual area.

7 es processing in V3 from that of lower-level visual areas.

8 oth retinotopically and functionally defined visual areas.

9 interconnecting primary (V1) and two higher visual areas.

10 rientation and color can be created in early visual areas.

11 s to cone signals vary systematically across visual areas.

12 information across functionally specialized visual areas.

13 lates relevant neuronal populations in early visual areas.

14 ly modulates responses in VTC, but not early visual areas.

15 e region of space is represented in multiple visual areas.

16 F scales with eccentricity and varies across visual areas.

17 rongly connected with early and extrastriate visual areas.

18 children (4 years and older) and high-level visual areas.

19 tating the sizes of surrounding higher order visual areas.

20 size and retinal eccentricity in retinotopic visual areas.

21 y, they decreased activations in the ventral visual areas.

22 of retinal inputs from the tectum to higher visual areas.

23 and topographic disorganization in all early visual areas.

24 dorsal (V3A/B, IPS0) and ventral (hV4, VO1) visual areas.

25 ools for accurate functional localization of visual areas.

26 vidually unique representation in high-level visual areas.

27 llocation period over frontal, parietal, and visual areas.

28 se from reweighting the connectivity between visual areas.

29 he retinotopic organization of V1 and higher visual areas.

30 al areas and, to a lesser degree, in earlier visual areas.

31 ous orientation signals inherited from early visual areas.

32 muli using activation patterns across entire visual areas.

33 r ones were those of temporal, parietal, and visual areas.

34 onnectivity from the primary (V1) and second visual areas.

35 iological maps, particularly in higher level visual areas.

36 ; whereas, this index was lower in posterior visual areas.

37 red coordinates in parietal and extrastriate visual areas.

38 he primary visual cortex and little in other visual areas.

39 tion effects extend from early to high-order visual areas.

40 emporal lobe, and a late reactivation of the visual areas.

41 h parallel ON and OFF pathways in downstream visual areas.

42 rated and precisely organized within central visual areas.

43 icantly contribute to reactivations in early visual areas.

44 ng a rapid cycling of neural excitability in visual areas.

45 es that are increasingly influenced by later visual areas.

46 engage neuronal representations in the same visual areas.

47 only modulated ongoing activity in secondary visual areas.

48 tional connectivity between higher and lower visual areas.

49 adually becomes view invariant in high-level visual areas.

50 ere found in high-level but not in low-level visual areas.

51 ing areas and retinotopic locations in early visual areas.

52 ult-network, medial-temporal, and high-level visual areas.

53 GABA-dominant inhibitory processing in early visual areas.

54 ematic differences in these phenomena across visual areas.

55 the increasing functional specialization of visual areas.

56 rain areas, including frontal, parietal, and visual areas.

57 led with the left frontoparietal network and visual areas.

58 osterior, laterointermediate, and postrhinal visual areas.

59 Visual cortex contains a hierarchy of visual areas.

60 and color was created, most likely in early visual areas.

61 late or bias sensory processing in posterior visual areas.

62 F decreased feedback interactions with early visual areas.

63 ion between retinotopic regions within early visual areas.

64 Cats with damage to either early visual areas 17,18, and 19, or to higher-level, motion-p

65 area 3b), primary motor (area 4), prestriate visual (area 18), and prefrontal (area 10) cortices of d

66 ng cortical cooling to reversibly inactivate visual areas 2 (V2) and 3 (V3) while characterizing rece

67 feature (perceptual learning) involves early visual areas [5-8].

68 phases of skill learning in the lowest-level visual areas, a behaviorally relevant form of consolidat

69 Our results reveal, in high-order visual areas, a remarkable level of neural invariance to

70 zing the spatiotemporal dynamics of cortical visual areas' activity following thalamic electrical mic

71 influence on the background coupling between visual areas: adopting different attentional goals resul

72 Two-photon calcium imaging revealed a small visual area, AF7, that was activated specifically by the

73 layer 5 (hereafter "L5 feedback") in higher visual areas, AL (anterolateral area) and PM (posteromed

74 learning of visual features occurs in early visual areas, although a number of studies have indicate

75 reduces feed-forward activity in the primary visual area and feedback activity in extrastriate areas

76 ncreases arose from the anterior ectosylvian visual area and the anterolateral lateral suprasylvian v

77 he region anterior to dorsal V2 from earlier visual areas and argue against a DM that lies along the

78 pared with hearing groups combined) in early visual areas and less WMV in a left early auditory regio

79 h Braille in bilateral lower and higher tier visual areas and primary somatosensory cortex.

80 loop (VCSL), receiving input from different visual areas and projecting back to the same cortical ar

81 onal basis for grouping subnetworks of mouse visual areas and revealed stream differences in the deve

82 nectivity of the hypothalamus increased with visual areas and the dorsal anterior cingulate (dorsal A

83 ical regions including: early and high-order visual areas and the posterior parietal lobe, a prominen

84 veral distinct regions, including high-level visual areas and the retinotopic cortex, contain more in

85 ltiple independent object locations in early visual areas and thereby allow for tracking of these obj

86 Here, we traced the outputs of 10 visual areas and used quantitative graph analytic tools

87 ived the majority of their inputs from early visual areas and visual areas within the MT complex.

88 esponses to attended stimuli in extrastriate visual areas and, to a lesser degree, in earlier visual

89 ual exploration of objects recruit the same "visual" areas (and in the case of visual cortex, the sam

90 ions of mean reward are seen in parietal and visual areas, and later in frontal regions with orbitofr

91 These effects are more pronounced in visual areas anterior to V1-V3.

92 Neurons in other visual areas are also labeled; the percentage of these i

93 to the brains of primates, large numbers of visual areas are arranged hierarchically and can be pars

94 ce projections from visuotopically organized visual areas are expected to match the visuotopy of the

95 little is known about whether and how early visual areas are involved in involuntary [3, 4] and even

96 Representations in early visual areas are organized on the basis of retinotopy, b

97 V2 and later visual areas are sensitive to these features, while prim

98 Visual areas are typically identified either through ret

99 ional organization and development of higher visual areas are unclear.

100 theory, local details encoded in lower-order visual areas are unconsciously processed before being au

101 ntly at multiple levels of analysis in early visual areas as well as in control regions.

102 a and the anterolateral lateral suprasylvian visual area, as well as somatosensory areas S2 and S4.

103 ween similarly tuned neurons within the same visual area, attention increases correlations between ne

104 erize the hierarchical organization of human visual areas based on their causal connectivity profiles

105 In blindness a subset of "visual" areas becomes specialized for language processin

106 space within each region, finding that four visual areas bordering V1 (LM, P, PM and RL) display com

107 nd directional causal influences not only on visual areas but also on the TPJ as a critical component

108 on both high- and low-level occipitotemporal visual areas, but could not resolve the time course of t

109 n these spatial maps, particularly in higher visual areas, but does not substantively change their si

110 onstrate that storage in VSTM extends beyond visual areas, but no frontal regions were found.

111 e to retinal ganglion cells and higher-order visual areas, but the mechanism responsible for creating

112 des, in part because of the ability to drive visual areas by their sensory inputs, allowing researche

113 Other studies have shown that these same visual areas can be sensitive to how coarse and fine fea

114 that electrical stimulation of higher order visual areas can induce complex hallucinations, and also

115 wn attentional modulation, falling on higher visual areas, can produce the observed effects of attent

116 with the differences between the neighboring visual areas clearly distinguish the region anterior to

117 While early cortical visual areas contain fine scale spatial organization of

118 uggest that feedback connections from higher visual areas convey distinctly tuned visual inputs to V1

119 revealed that activity patterns in posterior visual areas correlate with fluctuating percepts.

120 We move our eyes to explore the world, but visual areas determining where to look next (action) are

121 suggests that the connections between early visual areas develop and are maintained even in the abse

122 nts whose brain activity tend to reflect the visual-area-dominant state exhibiting more stable percep

123 three spatially distributed energy minimums: visual-area-dominant, frontal-area-dominant and intermed

124 The primate brain contains a hierarchy of visual areas, dubbed the ventral stream, which rapidly c

125 h-acuity central representation within early visual areas during both haptic exploration of objects a

126 t suppression of cortical activity in higher visual areas during CFS, but the role of primary visual

127 of fluid brain adaptation in visual and non-visual areas during monocular interferences.

128 ve connectivity) between fronto-parietal and visual areas during perception and imagery.

129 als additionally recruited a subset of early visual areas during symbolic math calculation.

130 show that haptic actions not only activate "visual" areas during object touch, but also that this in

131 addition, electrodes placed over high-order visual areas (e.g., fusiform gyrus) showed both effects

132 d by spatial pooling of responses from early visual areas (e.g., LGN or V1).

133 sults suggest that feedback from higher-tier visual areas, e.g., those in temporal cortices, may sign

134 t or categorical stimulus information, while visual areas encode parametric feature information.

135 resent a method for automatically segmenting visual areas, even in the small mouse cortex.

136 We find that all visual areas exhibit subadditive summation, whereby resp

137 We also show that voxels in multiple visual areas exhibit suppressive attentional effects tha

138 ons preserve their task specificity; ventral visual areas, for example, become engaged in auditory an

139 cortical regions [middle temporal area (MT), visual area four (V4), inferior temporal cortex (IT), la

140 and retinotopic organization of these early visual areas from cortical anatomy alone.

141 It seems likely that extrastriate visual areas further along the visual pathways may set i

142 In contrast, early visual areas generally manifest responses to individual

143 oding models of vision postulate that higher visual areas generate predictions of sensory inputs and

144 l faces are encoded by neurons in high-level visual areas has been a subject of active debate.

145 Early visual areas have neuronal receptive fields that form a

146 area V1, feedforward projections from early visual areas have only a small number of neurons with br

147 IVC), areas V6 and V6A, and cingulate sulcus visual area, have been identified in humans by passive v

148 tention modulates activity within individual visual areas; however, the role of attention in mediatin

149 The neural color spaces in two visual areas, human ventral V4 (V4v) and VO1, exhibited

150 on on the responses from earlier retinotopic visual areas, implying that a transition from retinotopi

151 ary visual cortex (V1) and lateromedial (LM) visual area in behaving mice revealed that the variabili

152 mple enough to guide subsequent targeting of visual areas in each subject.

153 e activity correlations between two cortical visual areas in mice during visual processing.

154 cordings across the dorsal aspect of several visual areas in one hemisphere in each of two awake monk

155 Information flows through visual areas in opposite directions during "bottom-up" i

156 ther bottom-up or top-down input to cortical visual areas in the alert primate reduces both the spike

157 Previous studies have shown that the early visual areas in the brain represent these components in

158 A parallel question, how visual areas in the human brain process information dist

159 Despite a growing understanding of visual areas in this behavior, it is unclear what role t

160 are able to make these measurements in many visual areas including smaller, higher order areas, thus

161 by transplanted rods are projected to higher visual areas, including V1.

162 Our results suggest that a cascade of visual areas integrate sensory experience, transforming

163 ified cortical projections from extrastriate visual areas involved in visual motion processing to DZ

164 ng, we found that phase sensitivity in early visual areas is biased toward higher SFs.

165 ce, the spatial organization of higher-level visual areas is less well understood.

166 implies that the topographic organization of visual areas is maintained throughout visual cortex [2].

167 Processing in higher visual areas is modulated by a combination of the visual

168 o factors in the representational content of visual areas is unclear.

169 hMT, as expected, and also in several higher visual areas known to encode optic flow.

170 the bottom of the hierarchy, in auditory and visual areas, location is represented on the basis that

171 Moreover, the lateral occipital tactile-visual area (LOtv) showed comparable activation for tact

172 ch a transition may lie in LO-1 or LO-2, two visual areas lying between retinotopically defined V3d a

173 feedback from motor planning areas to early visual areas may drive this enhanced perception.

174 In extrastriate visual area MT of the rhesus macaque, for example, some

175 Between visual areas, neuronal activity covaries primarily among

176 mbined single-unit recordings in four dorsal visual areas of behaving rhesus macaques (lateral intrap

177 only gray matter connections in the primary visual areas of both species show that an EDR holds at l

178 attention modulates the amplitude of LFPs in visual areas of primates.

179 coding neurons that primarily project to non-visual areas of the brain.

180 ivity also was observed in sensori-motor and visual areas of the cerebral cortex, as well the suprama

181 ex, we asked whether the projections from 10 visual areas of the dorsal and ventral streams terminate

182 cortical eye-position signals in four dorsal visual areas of the macaque brain: the lateral and ventr

183 Many visual areas of the primate brain contain signals relate

184 pulvinar is reciprocally connected with the visual areas of the ventral stream that are important fo

185 ttern of correlated BOLD signal across eight visual areas on data collected during rest conditions an

186 n of three functional groups of higher order visual areas organized retinotopically.

187 ity marker zif268 revealed reorganization in visual areas outside V1.

188 ns revealed differences between "senders" in visual areas, particularly the bilateral fusiform gyri.

189 agos resemble other primates in having early visual areas project to the superficial layers of the SC

190 rimates in particular have a large number of visual areas projecting to the superior colliculus.

191 inar distribution of neurons interconnecting visual areas provides an index of hierarchical distance

192 To examine whether higher visual areas receive functionally specific input from pr

193 nsory inputs, allowing researchers to define visual areas reliably across individuals and across spec

194 Functionally, adaptation was found in visual areas representing the retinal location of an ada

195 However, neurons across visual areas respond to any visual stimulus or contribut

196 Crucially, we find that the same "visual" areas respond to a highly specialized and unique

197 Early visual areas responded selectively to the written versio

198 hile the agouti's primary (V1) and secondary visual areas seemed to lack any obvious modular arrangem

199 In addition, early visual areas show sensitivity to the phase information t

200 Task-relevant visual areas showed a higher topological proximity to th

201 The topographic mapping of visual areas showed that ordered retinotopic maps were e

202 trong attentional modulation in the earliest visual areas, single-unit and local field potential stud

203 on for genetic mechanisms regulating primary visual area size and also proportionally dictating the s

204 eas of high neuron packing include secondary visual areas, somatosensory cortex, and prefrontal granu

205 ating stimulus-evoked neural activity within visual areas specialized for processing goal-relevant in

206 That ipsilateral visual areas strongly entrained to the attended stimulus

207 ted at the vertical meridian borders between visual areas such as V1/V2.

208 with the peri-infarct, such as contralateral visual areas, tended to escape damage, whereas some conn

209 eural responses in the V4 cortex, a midlevel visual area that provides the dominant cortical input to

210 find differential development of high-level visual areas that are involved in face and place recogni

211 uronal dynamics in high-order ventral stream visual areas that could play an important role in achiev

212 stent with the retinotopy found in the early visual areas that lie directly antecedent to category-se

213 al activity ("baseline shift") in high-order visual areas that persists throughout the free recall pe

214 other brain activities in both extrastriate visual areas (the P1 component) and in the anterior insu

215 projections from the dorsal raphe to a major visual area, the optic tectum.

216 and medial intraparietal area, caudo-dorsal visual areas, the most posterior portion of the superior

217 clear evidence for sensory fusion in V3B, a visual area thought to integrate depth cues in the adult

218 initial retinotopic representation in early visual areas to an abstract, position-invariant represen

219 rs employ widefield calcium imaging in mouse visual areas to demonstrate that these seizures start as

220 lid cueing enhanced forward connections from visual areas to right TPJ, and directed influences from

221 lly explored the ability of multiple ventral visual areas to support a variety of 'category-orthogona

222 ization in long-range connections from early visual areas to the face-selective temporal area in indi

223 stent with anatomical projections from early visual areas to these surfaces in monkey.

224 nged from rapid sensory integration in early visual areas, to long-term, stable representations in hi

225 processing in both time and space from early visual areas towards the dorsal and ventral streams.

226 Mechanisms that determine higher-order visual areas (V(HO)) and distinguish them from V1 are un

227 e pattern analysis of visuotopic activity in visual (areas V1-V4) and parietal cortex revealed that d

228 top-down influences from parietal area 7a to visual area V1 are correlated with bottom-up gamma frequ

229 those seen in cortical sensory areas such as visual area V1, but they can also be stacked to learn in

230 ausal influences among awake macaque primary visual area V1, higher visual area V4, and parietal cont

231 In monkey visual area V1, nearby local populations driven by diffe

232 ous studies have shown that neurons in early visual areas V1 and V2 can signal complex grouping-relat

233 We present a dynamical model of primate visual areas V1, MT, and MSTd based on that of Layton, M

234 n functional MRI retinotopic mapping data of visual areas V1, V2, and V3 and an algebraic model of re

235 Within cortical visual areas V1, V2, and V3, algebraic transformations c

236 tions from extrastriate areas to the primary visual area (V1) determine whether visual awareness will

237 The primary visual area (V1) forms a systematic map of the visual fi

238 easures within the optic radiations, primary visual area (V1), and cuneus; neural phase synchrony to

239 In early visual areas (V1 and V2), the disappearance of the stimu

240 n IPS, RSC, the human motion area, and early visual areas (V1, V3v).

241 Visual areas (V1-V3) were defined for each participant u

242 tive responses in individual voxels in early visual areas (V1-V4) using signal detection measures, bo

243 n primary areas, concluding that the primary visual area, V1, is specified by transcription factors (

244 Within early primate visual areas, V1 and V2, and to a lesser extent V3, the

245 trial fluctuations in spiking) in neurons of visual area V2 could limit the visual performance of amb

246 In macaques, visual area V2 is the earliest site in the visual proces

247 ved decision-related activity for neurons in visual area V2 of macaques performing fine disparity dis

248 iking, or mean matched Fano factor (m-FF) in visual area V2 of monkeys reared with chronic monocular

249 Visual area V2 of the primate cortex receives the larges

250 e find that these computations take place in visual area V2, primarily in its supragranular layers.

251 Already at the second stage, the visual area V2, the complexity of the transformation pre

252 to the cytochrome oxidase (CytOx) modules in visual area V2, we injected anterograde and retrograde c

253 of border-ownership cells in dorsal macaque visual areas V2 and V3 in the segmentation of natural ob

254 ion processing is a key function of cortical visual areas V2 and V3.

255 The second visual area (V2) in non-human primates contains a stripe

256 ripheral representation of five higher-order visual areas, V2/18, V3/19, V4/21a,V5/PMLS, area 7, and

257 ain regions involved were located in ventral visual areas V3, V4, and VO.

258 ital cortex that is normally associated with visual areas V3/V3A (and possibly other areas).

259 aging (fMRI) to provide evidence that dorsal visual area V3B/KO meets this challenge.

260 in the parietal reach region but not nearby visual area V3d.

261 To investigate the role of midlevel visual area V4 in visual surface completion, we used mul

262 Neural activity in visual area V4 is enhanced when attention is directed in

263 to beta oscillation dynamics in extrastriate visual area V4 of behaving monkeys.

264 Within a given area, such as visual area V4 or the inferotemporal cortex, tolerance h

265 In contrast, neurons in visual area V4 respond more strongly to unoccluded stimu

266 s of population recordings in rhesus primate visual area V4 showing that a single biophysical mechani

267 Neuronal modulations in visual area V4 were also graded as a function of cue val

268 the responses of shape-selective neurons in visual area V4 while monkeys discriminated pairs of shap

269 ded simultaneously from groups of neurons in visual area V4 while rhesus monkeys performed a contrast

270 uron responses to stimuli of varying size in visual area V4, a cornerstone of the object-processing p

271 awake macaque primary visual area V1, higher visual area V4, and parietal control area 7a during atte

272 , and its instantiation in single neurons of visual area V4.

273 population responses to those same images in visual areas V4 and inferior temporal (IT) cortex of mon

274 They receive concurrent inputs from visual areas V4, V3, and V2.

275 tion that LPP is connected with extrastriate visual areas V4V and DP and a scene-selective medial pla

276 Within cortical visual area V5/MT of two macaque monkeys, we applied ele

277 f functionally specific groups of neurons in visual area V5/MT with performance-contingent reward man

278 Human visual area V6, in the parieto-occipital sulcus, is thou

279 lation of the coupling from frontal to early visual areas was common to both perception and imagery.

280 e receptor antagonist biperiden, activity in visual areas was no longer under control of error-relate

281 t from the previously established storage in visual areas, we also discovered an area in the posterio

282 Across all visual areas, we found a tendency for end-stopped sites

283 lusively on transient bottom-up processes in visual areas, we found that efficient search is mediated

284 s-area coupling, multivoxel patterns in each visual area were decomposed to estimate the trial-by-tri

285 above-chance accuracy in multiple motor and visual areas when training and testing the classifier on

286 ined into global information in higher-order visual areas, where conscious percepts emerge.

287 rward interactions with FEF and extrastriate visual areas, whereas identical stimulation of the FEF d

288 specific target color (red) mostly in early visual areas while a vertical achromatic grating was phy

289 ons preferentially receive input from higher visual areas, while CS neurons receive more input from s

290 V1 is the only visual area with spatial resolution and topographical ex

291 ecific directed influences among 28 pairs of visual areas with anatomical metrics of the feedforward

292 targets in scenes are represented in various visual areas with LOC playing a key role in contextual g

293 This primarily occurred in the ventral visual areas, with a positive association to angry and h

294 rocess, involving even the earliest cortical visual areas, with perceptual consequences that are incr

295 ferior pulvinar nuclei and temporal cortical visual areas within the MT complex.

296 of their inputs from early visual areas and visual areas within the MT complex.

297 Several visual areas within the STS of the macaque brain respond

298 posterior parietal cortex, cingulate cortex, visual areas within the superior temporal sulcus, and in

299 elays were particularly pronounced in higher visual areas within the ventral stream.

300 en activity was well correlated among higher visual areas within two distinct subnetworks resembling