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1  posterior parietal cortex, and higher-level visual areas).
2 ion reduces feed-forward activity in primary visual area.
3 extend one full area further, into the third visual area.
4  as compared to the parietal association and visual area.
5 isual inputs, such as the primary and second visual area.
6 duced by anaesthesia and by silencing higher visual areas.
7 ns with a matched physical path in any early visual areas.
8  while suppression was observed in all early visual areas.
9  in previous studies, but also affects early visual areas.
10 s in various combinations of seven different visual areas.
11 he retinotopic organization of V1 and higher visual areas.
12 GABA-dominant inhibitory processing in early visual areas.
13 led with the left frontoparietal network and visual areas.
14  children (4 years and older) and high-level visual areas.
15  engage neuronal representations in the same visual areas.
16 ing areas and retinotopic locations in early visual areas.
17 ult-network, medial-temporal, and high-level visual areas.
18 ematic differences in these phenomena across visual areas.
19  the increasing functional specialization of visual areas.
20 rain areas, including frontal, parietal, and visual areas.
21 osterior, laterointermediate, and postrhinal visual areas.
22        Visual cortex contains a hierarchy of visual areas.
23  and color was created, most likely in early visual areas.
24 late or bias sensory processing in posterior visual areas.
25 F decreased feedback interactions with early visual areas.
26 ion between retinotopic regions within early visual areas.
27 es processing in V3 from that of lower-level visual areas.
28 buted heterogeneously both across and within visual areas.
29 oth retinotopically and functionally defined visual areas.
30  interconnecting primary (V1) and two higher visual areas.
31 rientation and color can be created in early visual areas.
32 s to cone signals vary systematically across visual areas.
33  information across functionally specialized visual areas.
34 lates relevant neuronal populations in early visual areas.
35 ly modulates responses in VTC, but not early visual areas.
36 e region of space is represented in multiple visual areas.
37 F scales with eccentricity and varies across visual areas.
38 rongly connected with early and extrastriate visual areas.
39 tating the sizes of surrounding higher order visual areas.
40 size and retinal eccentricity in retinotopic visual areas.
41 o tasks are subserved by a common network of visual areas.
42 t prevents the functional differentiation of visual areas.
43  the subsequent development of dorsal stream visual areas.
44 ning, a property thought to emerge in higher visual areas.
45 i and becomes progressively larger in higher visual areas.
46 , stimulus-driven feedback from higher-level visual areas.
47  cortex CCPNs projecting to different higher visual areas.
48 3, MT, regions of temporal cortex, and other visual areas.
49  in the temporal, suprasylvian, and parietal visual areas.
50  and/or top-down input from other high-level visual areas.
51 ing curves in the neocortex, particularly in visual areas [1-15].
52 orticothalamic connectivity of the occipital visual areas 17, 18, 19, and 21 in the ferret using stan
53 corticothalamic connectivity of the temporal visual areas 20a and 20b in the ferret using standard an
54  primary visual cortex (V1) and extrastriate visual areas [22-26] play an essential role in mediating
55 ersistent tuning to the threat cue in higher visual areas, 24 h after successful extinction, outlasti
56 m laminar electrodes in five cortical areas (visual area 4 [V4], lateral intraparietal [LIP], posteri
57 feature (perceptual learning) involves early visual areas [5-8].
58            Our results reveal, in high-order visual areas, a remarkable level of neural invariance to
59 more readily initiate capture in response to visual area activity and have greater visually-evoked ac
60  layer 5 (hereafter "L5 feedback") in higher visual areas, AL (anterolateral area) and PM (posteromed
61  learning of visual features occurs in early visual areas, although a number of studies have indicate
62 reduces feed-forward activity in the primary visual area and feedback activity in extrastriate areas
63                   Knowing the extent of each visual area and how they can be distinguished from each
64 graphically organized circuits to each mouse visual area and raise new questions about the contributi
65 ncreases arose from the anterior ectosylvian visual area and the anterolateral lateral suprasylvian v
66 e activity simultaneously in connected mouse visual areas and demonstrate distinct developmental patt
67  loop (VCSL), receiving input from different visual areas and projecting back to the same cortical ar
68 onal basis for grouping subnetworks of mouse visual areas and revealed stream differences in the deve
69 esults establish a causal link between early visual areas and the modulatory effect of exogenous atte
70 ical regions including: early and high-order visual areas and the posterior parietal lobe, a prominen
71 ith the occipital, parietal and suprasylvian visual areas and the secondary auditory cortex.
72 ual exploration of objects recruit the same "visual" areas (and in the case of visual cortex, the sam
73 he suppression magnitude varied depending on visual area, and the relative contrast between the two e
74  (2) lower average pRF eccentricity in early visual areas, and (3) sparser pRF coverage in the periph
75 mary and secondary motor areas, parietal and visual areas, and a shared connectivity to the extrastri
76 y and secondary motor areas and parietal and visual areas, and a shared connectivity to the extrastri
77 e brain, and specifically in the cerebellum, visual areas, and default-mode network.
78 es on rhythmic temporal coordination between visual areas, and establish novel methods for pinpointin
79 ions of mean reward are seen in parietal and visual areas, and later in frontal regions with orbitofr
80 tially more surround suppression than higher visual areas, and one higher area has significantly less
81 affects the functional neuroanatomy of early visual areas, and suggest that investigating pRFs in TS
82         These effects are more pronounced in visual areas anterior to V1-V3.
83 -striate areas and that responses over early visual areas are due to feedback.
84 he responses of neurons in multiple cortical visual areas are enhanced when their receptive field con
85    A new study has revealed that some higher visual areas are important for seeing even simple visual
86  little is known about whether and how early visual areas are involved in involuntary [3, 4] and even
87                     Representations in early visual areas are organized on the basis of retinotopy, b
88                                 V2 and later visual areas are sensitive to these features, while prim
89                             The two temporal visual areas are strongly interconnected, but area 20a i
90                                              Visual areas are typically identified either through ret
91 ional organization and development of higher visual areas are unclear.
92 theory, local details encoded in lower-order visual areas are unconsciously processed before being au
93 arameters representing primary and secondary visual areas as they vary from monkey to mouse, we deriv
94 a and the anterolateral lateral suprasylvian visual area, as well as somatosensory areas S2 and S4.
95  of mouse neocortex, spanning four different visual areas at synaptic resolution, in less than 6 mont
96 ween similarly tuned neurons within the same visual area, attention increases correlations between ne
97 erize the hierarchical organization of human visual areas based on their causal connectivity profiles
98                    In blindness a subset of "visual" areas becomes specialized for language processin
99  space within each region, finding that four visual areas bordering V1 (LM, P, PM and RL) display com
100 utism: responses are attenuated in a primary visual area but amplified in a subsequent higher-order a
101 nd directional causal influences not only on visual areas but also on the TPJ as a critical component
102 e to retinal ganglion cells and higher-order visual areas, but the mechanism responsible for creating
103 des, in part because of the ability to drive visual areas by their sensory inputs, allowing researche
104     Other studies have shown that these same visual areas can be sensitive to how coarse and fine fea
105 wn attentional modulation, falling on higher visual areas, can produce the observed effects of attent
106 cranial random noise stimulation (tRNS) over visual areas causes dramatic improvements in visual moti
107                         While early cortical visual areas contain fine scale spatial organization of
108 uggest that feedback connections from higher visual areas convey distinctly tuned visual inputs to V1
109 both experiments, prestimulus alpha power in visual areas decreased linearly with increasing attentio
110 e examined whether the lower volume of early visual areas, defined using retinotopic mapping, in TS i
111 nd lower information density in extrastriate visual areas, despite lower spiking noise, largely expla
112  suggests that the connections between early visual areas develop and are maintained even in the abse
113        However, it is unclear whether higher visual areas directly contribute to the generation of il
114    The primate brain contains a hierarchy of visual areas, dubbed the ventral stream, which rapidly c
115 h-acuity central representation within early visual areas during both haptic exploration of objects a
116  of fluid brain adaptation in visual and non-visual areas during monocular interferences.
117 ve connectivity) between fronto-parietal and visual areas during perception and imagery.
118 tatory and inhibitory (E/I) balance in early visual areas during subsequent sleep as an index of plas
119 als additionally recruited a subset of early visual areas during symbolic math calculation.
120  show that haptic actions not only activate "visual" areas during object touch, but also that this in
121 t or categorical stimulus information, while visual areas encode parametric feature information.
122 resent a method for automatically segmenting visual areas, even in the small mouse cortex.
123                             We find that all visual areas exhibit subadditive summation, whereby resp
124         We also show that voxels in multiple visual areas exhibit suppressive attentional effects tha
125 ppressive processing in decision-related and visual areas facilitates perceptual judgments during tra
126 ons preserve their task specificity; ventral visual areas, for example, become engaged in auditory an
127 l activity of nearly 60,000 neurons from six visual areas, four layers, and 12 transgenic mouse lines
128            It seems likely that extrastriate visual areas further along the visual pathways may set i
129                           In contrast, early visual areas generally manifest responses to individual
130 oding models of vision postulate that higher visual areas generate predictions of sensory inputs and
131 l faces are encoded by neurons in high-level visual areas has been a subject of active debate.
132                 Recurrent processing between visual areas has been proposed to be involved in this pr
133                                        Early visual areas have neuronal receptive fields that form a
134                  Feedback inputs from higher visual areas have scattered receptive fields relative to
135 IVC), areas V6 and V6A, and cingulate sulcus visual area, have been identified in humans by passive v
136 ing of primary visual cortex (V1) and higher visual areas (HVAs) during presentation of natural movie
137 sual cortex (V1) and three downstream higher visual areas (HVAs: LM (lateromedial), AL (anterolateral
138  defined axonal projection to a second-order visual area: id2b:gal4-positive torus longitudinalis pro
139 d our prediction, showing that, in low-level visual areas, imagined spatial frequencies in individual
140 on on the responses from earlier retinotopic visual areas, implying that a transition from retinotopi
141 c representation of the middle temporal (MT) visual area in marmoset monkeys and studied the distribu
142 iculate nucleus, LGN) and cortical (area MT) visual areas in anaesthetised marmosets.
143 onal architecture seen in eight well defined visual areas in both task and resting-state fMRI.
144 stinct network hub external to the occipital visual areas in carnivores, implicating PMLS as a potent
145 t the smaller cortical surface area of early visual areas in girls with TS may be associated with a l
146 e activity correlations between two cortical visual areas in mice during visual processing.
147  activation in the untrained region in early visual areas in non-rapid eye movement (NREM) and REM sl
148 cordings across the dorsal aspect of several visual areas in one hemisphere in each of two awake monk
149                    Information flows through visual areas in opposite directions during "bottom-up" i
150  results indicate the critical role of early visual areas in perceptual learning and reveal its capac
151 ther bottom-up or top-down input to cortical visual areas in the alert primate reduces both the spike
152   Previous studies have shown that the early visual areas in the brain represent these components in
153                     A parallel question, how visual areas in the human brain process information dist
154           Despite a growing understanding of visual areas in this behavior, it is unclear what role t
155  are able to make these measurements in many visual areas including smaller, higher order areas, thus
156              Symmetry activates a network of visual areas, including the lateral occipital complex (L
157        Our results suggest that a cascade of visual areas integrate sensory experience, transforming
158 sment of feature selectivity in a high-level visual area involved in object recognition.
159 he transfer of auditory information to early visual areas is an epiphenomenon of visual imagery or, a
160        This framework of connections between visual areas is based on the laminar patterns of direct
161 ng, we found that phase sensitivity in early visual areas is biased toward higher SFs.
162 cterization of disparity tuning across mouse visual areas is lacking, however, and acquiring such dat
163 ce, the spatial organization of higher-level visual areas is less well understood.
164 implies that the topographic organization of visual areas is maintained throughout visual cortex [2].
165                         Processing in higher visual areas is modulated by a combination of the visual
166 o factors in the representational content of visual areas is unclear.
167 hMT, as expected, and also in several higher visual areas known to encode optic flow.
168 rly visual cortex (EVC) and the higher-level visual area, lateral occipital cortex (LOC), known to be
169 mary visual cortex (V1) and three key higher visual areas (lateromedial [LM], anterolateral [AL], and
170 -modal interactions between somatosensory-to-visual areas leading to the same (but tactile-induced) D
171  evoked activity from cells in V1 and higher visual areas LM (lateromedial) and PM (posteromedial) of
172 he responses of neurons in V1 and two higher visual areas, LM (lateromedial) and PM (posteromedial).
173                        The boundaries of the visual areas located anterior to V2 in the dorsomedial r
174 the bottom of the hierarchy, in auditory and visual areas, location is represented on the basis that
175      Moreover, the lateral occipital tactile-visual area (LOtv) showed comparable activation for tact
176 ch a transition may lie in LO-1 or LO-2, two visual areas lying between retinotopically defined V3d a
177                   Neuronal circuits in early visual areas make these predictions based on internal mo
178 t a soft handoff over time between different visual areas, making this information continuously avail
179  feedback from motor planning areas to early visual areas may drive this enhanced perception.
180        Our results suggest that higher-order visual areas may fill in the missing information in the
181 cal excitability and determine whether early visual areas mediate the effect of exogenous attention o
182 ow frequency local field potentials (LFP) in visual area MT of macaque monkeys.
183 rates local motion signals, and higher-level visual area MT, which integrates these signals over more
184 gesting rapid relay of motion information to visual area MT.
185 xception is the higher order middle temporal visual area (MT), which appears to be histologically dis
186                                      Between visual areas, neuronal activity covaries primarily among
187 in visual area V2, the earliest extrastriate visual area of both male and female macaque monkeys (Mac
188  only gray matter connections in the primary visual areas of both species show that an EDR holds at l
189 eading direction during pursuit are found in visual areas of monkey cortex, including the dorsal medi
190                                   The higher visual areas of mouse visual cortex may provide a useful
191  pulvinar is reciprocally connected with the visual areas of the ventral stream that are important fo
192 ural sounds from activity patterns in early "visual" areas of congenitally blind individuals who lack
193 ttern of correlated BOLD signal across eight visual areas on data collected during rest conditions an
194 ity marker zif268 revealed reorganization in visual areas outside V1.
195 ns revealed differences between "senders" in visual areas, particularly the bilateral fusiform gyri.
196  in a widespread network that included early visual areas, parts of the dorsal and ventral streams, a
197 iated by the oscillatory properties of early visual areas per se, then the two versions of the illusi
198   Together, these results suggest that early visual areas play a key role in supporting high-resoluti
199 ified the posteromedial lateral suprasylvian visual area (PMLS) as a distinct network hub external to
200 ortico-thalamic connectivity of the parietal visual areas, posterior parietal caudal cortical area (P
201 lternatively, if the oscillatory activity in visual areas predicting this phenomenon is dependent on
202 ses to letters occurred on lateral occipital visual areas, predominantly over the left hemisphere.
203 ior experience of live prey show activity in visual areas (pretectum and optic tectum) and motor area
204 sion is not equally represented across mouse visual areas: primary visual cortex has substantially mo
205 n signals between ferret V1 and higher-level visual area PSS, located in the posterior bank of the su
206             In addition, V1 and extrastriate visual areas received input from the ventrolateral part
207 nsory inputs, allowing researchers to define visual areas reliably across individuals and across spec
208        Functionally, adaptation was found in visual areas representing the retinal location of an ada
209                      However, neurons across visual areas respond to any visual stimulus or contribut
210            Crucially, we find that the same "visual" areas respond to a highly specialized and unique
211 eas (cerebellum and hindbrain), with similar visual area retinotopic maps of prey position.
212 d feedforward connectivity from V1 to higher visual areas, short-range feedback connectivity between
213 as in the human brain, activity in low-level visual areas should encode variation in mental images wi
214                           In addition, early visual areas show sensitivity to the phase information t
215              During recollection, high-order visual areas showed pronounced SWR-coupled reemergence o
216 ic, contextually driven feedback from higher visual areas.SIGNIFICANCE STATEMENT A core function of t
217 on for genetic mechanisms regulating primary visual area size and also proportionally dictating the s
218 eas of high neuron packing include secondary visual areas, somatosensory cortex, and prefrontal granu
219                             That ipsilateral visual areas strongly entrained to the attended stimulus
220 ver, there is considerable anisotropy within visual areas, such that neurons representing the lower v
221 spanning prefrontal, parietal, temporal, and visual areas supports the generation of mental images.
222 vealed an intact network of bilateral dorsal visual areas temporally correlated with V5/MT activation
223  find differential development of high-level visual areas that are involved in face and place recogni
224 uronal dynamics in high-order ventral stream visual areas that could play an important role in achiev
225 stent with the retinotopy found in the early visual areas that lie directly antecedent to category-se
226 al activity ("baseline shift") in high-order visual areas that persists throughout the free recall pe
227 irls with Turner syndrome have smaller early visual areas that provide lesser coverage of the periphe
228  other brain activities in both extrastriate visual areas (the P1 component) and in the anterior insu
229  clear evidence for sensory fusion in V3B, a visual area thought to integrate depth cues in the adult
230 thought to regulate neural excitability over visual areas through inhibitory control mechanisms.
231 ateralized and widely spread, from occipital visual areas through parietal multisensory areas to fron
232  initial retinotopic representation in early visual areas to an abstract, position-invariant represen
233 rs employ widefield calcium imaging in mouse visual areas to demonstrate that these seizures start as
234 lly explored the ability of multiple ventral visual areas to support a variety of 'category-orthogona
235 ization in long-range connections from early visual areas to the face-selective temporal area in indi
236 nged from rapid sensory integration in early visual areas, to long-term, stable representations in hi
237 processing in both time and space from early visual areas towards the dorsal and ventral streams.
238 tal design included measurements in multiple visual areas using four distinct sensory and cognitive p
239 e pattern analysis of visuotopic activity in visual (areas V1-V4) and parietal cortex revealed that d
240 top-down influences from parietal area 7a to visual area V1 are correlated with bottom-up gamma frequ
241 those seen in cortical sensory areas such as visual area V1, but they can also be stacked to learn in
242 ausal influences among awake macaque primary visual area V1, higher visual area V4, and parietal cont
243                                    In monkey visual area V1, nearby local populations driven by diffe
244                                           In visual areas V1 and MT, some directionally selective cel
245 ing non-parametric Granger causality between visual areas V1 and V4.
246 he disparity tuning properties of neurons in visual areas V1, LM, and RL in response to dichoptically
247      We present a dynamical model of primate visual areas V1, MT, and MSTd based on that of Layton, M
248 tions from extrastriate areas to the primary visual area (V1) determine whether visual awareness will
249 el-dependent (BOLD) responses in the primary visual area (V1) lesion projection zone (LPZ),(6) despit
250 easures within the optic radiations, primary visual area (V1), and cuneus; neural phase synchrony to
251                                     In early visual areas (V1 and V2), the disappearance of the stimu
252 ltered brain structure and function in early visual areas (V1-V3) versus downstream parietal cortical
253                                              Visual areas (V1-V3) were defined for each participant u
254 y and strength of neuronal firing in primate visual area V2 by analyzing contrast sensitivity, spikin
255 trial fluctuations in spiking) in neurons of visual area V2 could limit the visual performance of amb
256                                 In macaques, visual area V2 is the earliest site in the visual proces
257 ved decision-related activity for neurons in visual area V2 of macaques performing fine disparity dis
258 iking, or mean matched Fano factor (m-FF) in visual area V2 of monkeys reared with chronic monocular
259               This result implicated ventral visual area V2, approximated 'Bouma's Law' of crowding,
260             Already at the second stage, the visual area V2, the complexity of the transformation pre
261  focused on the firing pattern of neurons in visual area V2, the earliest extrastriate visual area of
262  of border-ownership cells in dorsal macaque visual areas V2 and V3 in the segmentation of natural ob
263 ion processing is a key function of cortical visual areas V2 and V3.
264                                   The second visual area (V2) in non-human primates contains a stripe
265 ripheral representation of five higher-order visual areas, V2/18, V3/19, V4/21a,V5/PMLS, area 7, and
266 ain regions involved were located in ventral visual areas V3, V4, and VO.
267 sual cortex, especially those located within visual area V3A.SIGNIFICANCE STATEMENT Here we test and
268 erally thought to contain an elongated third visual area, V3d, extending along most of the rostral bo
269                      In contrast, neurons in visual area V4 respond more strongly to unoccluded stimu
270 s of population recordings in rhesus primate visual area V4 showing that a single biophysical mechani
271                      Neuronal modulations in visual area V4 were also graded as a function of cue val
272 uron responses to stimuli of varying size in visual area V4, a cornerstone of the object-processing p
273 awake macaque primary visual area V1, higher visual area V4, and parietal control area 7a during atte
274              Neural population activity from visual area V4, as well as from prefrontal cortex, slowl
275 , and its instantiation in single neurons of visual area V4.
276 the control of feature attention in cortical visual area V4.
277 population responses to those same images in visual areas V4 and inferior temporal (IT) cortex of mon
278          They receive concurrent inputs from visual areas V4, V3, and V2.
279  We recorded stimulus-selective neurons from visual area V5/MT while two monkeys (Macaca mulatta) mad
280 f functionally specific groups of neurons in visual area V5/MT with performance-contingent reward man
281 lation of the coupling from frontal to early visual areas was common to both perception and imagery.
282 e receptor antagonist biperiden, activity in visual areas was no longer under control of error-relate
283 , a relative increase in the activity of the visual areas was observed the more time passed between t
284                                   Across all visual areas, we found a tendency for end-stopped sites
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  20a is primarily connected to the occipital visual areas, whereas area 20b maintains more widespread
288 rward interactions with FEF and extrastriate visual areas, whereas identical stimulation of the FEF d
289 ted neural circuits 'grew into' the deprived visual areas, which therefore adopted a linguistic-seman
290  specific target color (red) mostly in early visual areas while a vertical achromatic grating was phy
291 ons preferentially receive input from higher visual areas, while CS neurons receive more input from s
292 ivity was the strongest within the occipital visual areas, while weaker connectivity strength was obs
293                               V1 is the only visual area with spatial resolution and topographical ex
294 ecific directed influences among 28 pairs of visual areas with anatomical metrics of the feedforward
295       This primarily occurred in the ventral visual areas, with a positive association to angry and h
296 laque accumulation; for example, the lateral visual area within the isocortex of APP/PS1 mice had rel
297 ferior pulvinar nuclei and temporal cortical visual areas within the MT complex.
298                                      Several visual areas within the STS of the macaque brain respond
299 posterior parietal cortex, cingulate cortex, visual areas within the superior temporal sulcus, and in
300 en activity was well correlated among higher visual areas within two distinct subnetworks resembling

 
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