ライフサイエンスコーパス: representational

1 's intelligence, language and number skills, representational ability, interpersonal understanding, a

2 r timed behavior, supporting the model-based representational account of temporal risk assessment.

3 imination learning, which is consistent with representational accounts in which subregions in these M

4 We tested a novel hypothesis, generated from representational accounts of medial temporal lobe (MTL)

5 Recent "representational" accounts suggest a key role for the hi

6 In particular, the representational accuracy attained by grid cells over th

7 that this is associated with a more unified representational and functional role in aversive process

8 cognition depends on synergism between both representational and motivational factors and is unlikel

9 the hypothesis that specific increases in A1 representational area for an auditory signal serve the m

10 The amount of representational area gain for the signal frequency band

11 Tuning shifts increase the representational area of the signal in A1, as an increas

12 Importantly, representational area showed a significant positive corr

13 ings indicate that specific gain in cortical representational area underlies the strength of the beha

14 sion that behaviorally important sounds gain representational area.

15 at extent do perception and reflection share representational areas?

16 hey do not typically question the linguists' representational assumptions.

17 overcoming cortical noise, there is "excess representational bandwidth" available and that this band

18 rom restriction-digested genomic DNA display representational bias and lack some sequences.

19 The reproducibility, sensitivity, and the representational bias introduced by these amplification

20 Reduced representational bisulfite sequencing was then used to c

21 Thus, at the representational border there are significant changes in

22 bition are smaller when evoked from across a representational border, as compared to when they are ev

23 nhibition may underlie the expression of the representational border.

24 paration and pattern completion, and (3) the representational capabilities of distinct MTL subregions

25 The brain's earliest self-representational capacities arose as evolution found neu

26 a nonphysical soul, but rather with a set of representational capacities of the physical brain.

27 These findings demonstrate that the representational capacity of A1 depends strongly on cort

28 Our results demonstrate the high representational capacity of multivariate statistical me

29 Here we analyze the increase in the representational capacity of spike timing over rate code

30 Thus, a homeobox gene increases the representational capacity of the nervous system by estab

31 ocesses imbue the system with its staggering representational capacity, underpinning everything from

32 isplacement task has focused on prerequisite representational capacity.

33 urrent stimulation (tDCS) to facilitate such representational change.

34 learned constraints, leading to a successful representational change.

35 and form an empirical framework to study the representational changes in learning, attention, and spe

36 Here we examine the relationship between representational changes in mPFC and behavioural strateg

37 These selective representational changes induced in the critical period

38 from decision rules, attention learning, or representational changes, and small differences in the t

39 of spikes requires the brain not only to use representational codes that rely on very few active neur

40 ent nodes in this network maintain different representational codes, motor and spatial.

41 the generalization accuracy as a function of representational complexity.

42 ngth of retrieval of one, but not the other, representational component correlated with generalizatio

43 or ensembles to increase stability in a core representational component.

44 ncy of retrieval processes also is linked to representational consistency.

45 coding processes has recently been linked to representational consistency: the reactivation of a repr

46 To explore differences in representational content across regions and modalities,

47 ultivariate decoding techniques to probe the representational content of neural signals in a time-res

48 lly, we used fMRI to investigate whether the representational content of prestimulus activity in earl

49 fMRI measures to assess the effector-related representational content of the PPC: a multivariate info

50 ive contribution of these two factors in the representational content of visual areas is unclear.

51 nterference, and emphasize the importance of representational content to mnemonic processing.

52 h top-down processes for the analysis of its representational content, and possibly regulate subseque

53 by increased activation in inferior temporal representational cortices relative to other information

54 ons, with spatial organization instantiating representational currency (i.e., more/less relations) sh

55 tive polymerase chain reaction (qPCR), and a representational deep-sequencing method (biome represent

56 y developed genotyping technique with direct representational detection of LMP-1 gene sequences to st

57 inted loci, we applied methylation-sensitive representational difference analysis (Me-RDA) to parthen

58 ubtraction (MS-AS) and methylation-sensitive representational difference analysis (MS-RDA) to detect

59 hybridization against non-enriched DNA using representational difference analysis (RDA) and analyzed

60 Representational difference analysis (RDA) cloning has i

61 Representational difference analysis (RDA) combined with

62 Representational difference analysis (RDA) has been used

63 re first analysed by a modified protocol for representational difference analysis (RDA) of cDNAs betw

64 We have used microarrays derived from a representational difference analysis (RDA) subtraction i

65 As a second method of analysis, we used Representational Difference Analysis (RDA) to clone mRNA

66 icity, and we have utilized the technique of representational difference analysis (RDA) to directly i

67 We therefore performed representational difference analysis (RDA) to identify d

68 display (DD), subtractive hybridization, and representational difference analysis (RDA)), there is fr

69 The current methods, library screening or representational difference analysis (RDA), are very lab

70 to the A and D genome types of cotton using representational difference analysis (RDA).

71 Using both representational difference analysis and gene arrays, we

72 To identify such genes, we used both representational difference analysis and oligonucleotide

73 We used representational difference analysis of cDNA to amplify

74 clinical isolate of S. uberis, we have used representational difference analysis of cDNA to identify

75 of the sclerotic glomerular lesion in HIVAN, representational difference analysis of cDNA was used to

76 Representational difference analysis of cDNAs (cDNA-RDA)

77 lecules that contribute to this arrest, cDNA-representational difference analysis on BM stromal cells

78 A "second generation" representational difference analysis procedure now ident

79 a neuropeptide, identified using an enhanced representational difference analysis procedure, implemen

80 We used cDNA representational difference analysis subtractive hybridi

81 hese Raf-independent activities, we utilized representational difference analysis to identify genes a

82 ediated transformation, we recently utilized representational difference analysis to identify genes e

83 We used representational difference analysis to identify homozyg

84 e used to better characterize the ability of representational difference analysis to identify rare me

85 Here, we utilize representational difference analysis to identify the tra

86 For identifying such pathways, representational difference analysis was performed compa

87 apoptotic death of myeloid precursor cells, representational difference analysis was performed using

88 Representational difference analysis was used to compare

89 hylated CpG island amplification followed by representational difference analysis was used to identif

90 Representational difference analysis was used to isolate

91 Of 42 CpG islands identified by MCA/representational difference analysis, 7 CpG islands [met

92 lay reverse transcriptase-PCR (RT-PCR), cDNA-representational difference analysis, and hybridization

93 imer and identified putative target genes by representational difference analysis, DNA microarrays, a

94 a search for novel genes, and employing cDNA-representational difference analysis, the gene encoding

95 We used an expression profiling technique, representational difference analysis, to identify genes

96 Using representational difference analysis, we identified a ne

97 Using representational difference analysis, we identified Brn-

98 enioids to discover erythropoietic genes via representational difference analysis.

99 BM-40) were identified after three rounds of representational difference analysis.

100 CpG island amplification (MCA) coupled with representational difference analysis.

101 genes in the acute leukemias, we performed a representational difference analysis.

102 novel c-Myc-responsive gene, named JPO1, by representational difference analysis.

103 the consequences of such anatomically based representational differences, if any, for the processing

104 linear-discriminant t value as a measure of representational discriminability that bridges the gap b

105 used a complementary DNA subtraction method, representational display analysis, to show that the smal

106 sembled IT in terms of their within-category representational dissimilarities.

107 in encoding analysis and population-response representational dissimilarity in RSA) and have specific

108 We compared the representational dissimilarity matrices (RDMs) of the mo

109 mputational models, each of which predicts a representational distance matrix and a regional-mean act

110 The representational distance matrix encapsulates what disti

111 A model is tested by comparing the representational distance matrix it predicts to that of

112 In sum, these results strongly point to representational domain as a key factor determining the

113 , an alternative organizing principle is the representational domain critical for successful memory p

114 ing perceptual input constant across the two representational domains.

115 neuroanatomical, cognitive-mechanistic, and representational (e.g., conscious contents) processes as

116 We hypothesized that learning-induced representational expansion in the primary auditory corte

117 CS representational expansion was asymmetric into high-freq

118 itted from the learning sequence showed that representational fidelity is primarily determined by the

119 increased fine spatial discriminability and representational fidelity near the attended target.

120 eriod rats results in the recovery of normal representational fidelity.

121 framework of human actions assumes a common representational format for action and perception that f

122 veridical beliefs about the past nor to its representational format.

123 al system we share with other species, their representational formats, functions, and developmental t

124 & Bargh (H&B) to consider a wider variety of representational forms with motivational force and to en

125 ing and inference has converged on a general representational framework: causal models integrated wit

126 nic function of the hippocampus is to bridge representational gaps in our experience.

127 Representational geometries were significantly correlate

128 We characterized the representational geometry by the dissimilarity matrix of

129 The representational geometry remained stable across scannin

130 n of activity profiles, which determines the representational geometry, and thus how well any feature

131 ance and their ability to account for the IT representational geometry.

132 f data can be explained in terms of a recent representational-hierarchical view of cognition.

133 work-generates the kind of (de)compositional representational hierarchy that is crucial for human lan

134 poral lobe (MTL) structures may constitute a representational hierarchy, rather than a dedicated syst

135 n anterior temporal lobe (ATL) is a semantic representational hub.

136 Our results suggest that hIT brain representational idiosyncrasies accessible to fMRI are e

137 ia to Southeast Asia, e.g., the emergence of representational imagery and the colonization of arctic

138 e of reinforcement learning, emphasizing the representational implications of the neuroscientific fin

139 a modification of digital karyotyping-biome representational in silico karyotyping (BRISK)-as a gene

140 presentational deep-sequencing method (biome representational in silico karyotyping [BRiSK]) were app

141 -evaluative situations may induce high-level representational incoherence between one's own intention

142 These findings indicate that very early representational information can be preserved in the mem

143 e over time, in contrast to prior reports of representational instability in the dlPFC.

144 , causal role for DLPFC in norm enforcement: representational integration of the distinct information

145 onstantly updated to guide behavior based on representational knowledge of spatial position.

146 memory, the ability to temporarily maintain representational knowledge, is a foundational cognitive

147 gulates thought, behavior, and emotion using representational knowledge, operations often referred to

148 s this feat will include three components: a representational language for characterizing modality-in

149 ut; (2) as the bottleneck recurs at each new representational level, the language system must build a

150 by obtaining critical empirical data at the representational level: the level where this computation

151 ason is that prime sentences affect multiple representational levels driving syntactic choice.

152 Long-term peripheral deafferentation induces representational map changes in the somatosensory cortex

153 l was to acquire a comprehensive M1 forelimb representational map of movement endpoints elicited with

154 Representational mapping of population activity evoked b

155 atial layout of interaction processes within representational maps contributes to selection and decis

156 ble for long-term, massive reorganization of representational maps in primate somatosensory cortex af

157 injured zones, and organization of cortical representational maps.

158 The computational and representational mechanisms underlying these observation

159 tion concerning internal states and goals in representational memory.

160 In an experimental context, representational models can be defined as hypotheses abo

161 Representational models specify how activity patterns in

162 is different from the standard computational-representational models.

163 the methods to adjudicate between competing representational models.

164 Representational momentum is modifiable; simply labellin

165 et items, only some of which implied motion (representational momentum stimuli).

166 ntion training on the processing priorities, representational noise, and inhibitory processes operati

167 chronic lymphocytic leukemia (CLL) by using representational oligonucleotide microarray analysis (RO

168 Representational Oligonucleotide Microarray Analysis (RO

169 gorithm by applying it to data obtained from representational oligonucleotide microarray analysis and

170 array comparative genomic hybridization and representational oligonucleotide microarray analysis hav

171 30 exhibited chromosomal changes revealed by representational oligonucleotide microarray analysis inc

172 Here we report the development of a representational oligonucleotide microarray analysis mic

173 us deletions that were initially detected by Representational Oligonucleotide Microarray Analysis of

174 Representational oligonucleotide microarray analysis of

175 array comparative genomic hybridization, and representational oligonucleotide microarray analysis pro

176 e have developed a methodology we call ROMA (representational oligonucleotide microarray analysis), f

177 We developed representational oligonucleotide microarray analysis, a

178 layed the emergence of adultlike topographic representational order and the refinement of response se

179 d "pretty-good measurements" with negligible representational overhead.

180 Second, we show that lower representational overlap in the hippocampus benefits sub

181 there is limited empirical evidence linking representational overlap in the hippocampus to memory in

182 IT in that they showed greater clustering of representational patterns by category.

183 l) event, we derived time-frequency resolved representational patterns in the hippocampus and compare

184 tational patterns to distributed neocortical representational patterns in the suppression of aversive

185 show a shift away from hippocampal-dependent representational patterns to distributed neocortical rep

186 that models that perform well on measures of representational performance also perform well on measur

187 at possibility cannot be ruled out merely on representational performance grounds.

188 It remains unclear, however, whether the representational performance of DNNs rivals that of the

189 o-inspired models, the latest DNNs rival the representational performance of IT cortex on this visual

190 fic function of learning-induced associative representational plasticity.

191 We thus explored their representational power and dynamical properties after tr

192 tant open question is what characterizes the representational power of deep and shallow neural networ

193 account of perceptual learning in which the representational precision required to distinguish stimu

194 Can selective attention improve the representational precision with which objects are held i

195 be possible to view the nervous system as a representational process that solves the mathematically

196 sites of attentional control on the basis of representational properties by demonstrating that simple

197 ue that pain perception involves some of the representational properties of exteroceptive senses, suc

198 processing in primates, is able to generate representational properties similar to those observed in

199 Dance has representational properties that rely on the dancers' ab

200 sensory processing networks on the basis of representational properties.

201 sidered (e.g., adding stimulus intensity and representational quality).

202 To evaluate the idea that representational reliability was the key difference betw

203 ation to motor cortex, such sensory loss and representational reorganization could affect the develop

204 hippocampal place cells and providing a rich representational repertoire to support complex navigatio

205 completely new information sources into its representational repertoire, and use this information in

206 Planning has large computational and representational requirements but requires little experi

207 e computational tools that support the above representational requirements.

208 ons, consistent with allocation of a limited representational resource.

209 ention as a mechanism for allocating limited representational resources in V1.

210 We report evidence for "representational rigidity" in older adults' dentate/CA3

211 These findings support a representational role of spontaneous brain activity.

212 A novel representational schema, PGschema, was developed that en

213 neural mechanisms that underlie such dynamic representational shifts.

214 spersion, a powerful, multivariate metric of representational similarity (precision).

215 us studies have identified similar drifts in representational similarity across space or time over th

216 Functional MRI combined with representational similarity analyses (RSA) of spatial pa

217 Using representational similarity analyses of functional magne

218 Representational similarity analyses showed that amygdal

219 Representational similarity analyses, which investigated

220 bution as well as their interactions through representational similarity analyses.

221 Here, we applied representational similarity analysis (RSA) [17] to intra

222 Here we used representational similarity analysis (RSA) of fMRI data

223 In this study, we employed representational similarity analysis (RSA) to reveal the

224 One approach to this problem is representational similarity analysis (RSA), which charac

225 lysis, pattern component modeling (PCM), and representational similarity analysis (RSA).

226 tuents, we ran a time-resolved topographical representational similarity analysis (tRSA) comparing th

227 combination with spatiotemporal searchlight representational similarity analysis in source space, we

228 A representational similarity analysis in this parietal re

229 s, or coarse grip with five digits) and used representational similarity analysis of functional magne

230 We investigated this problem using representational similarity analysis of human fMRI data

231 According to a representational similarity analysis of left perirhinal

232 By contrast, representational similarity analysis of population activ

233 Representational similarity analysis revealed a clear di

234 Representational similarity analysis revealed a dissocia

235 Representational similarity analysis revealed that a com

236 Finally, whole-brain representational similarity analysis revealed that the s

237 tudy we used multivoxel pattern analysis and representational similarity analysis to characterize the

238 Here, we used representational similarity analysis to determine what d

239 Here we use fMRI with representational similarity analysis to search for a neu

240 Representational similarity analysis was used to identif

241 Representational similarity analysis within these region

242 We used representational similarity analysis, a type of multivar

243 such as multivariate pattern classification, representational similarity analysis, hyperalignment, an

244 Using representational similarity analysis, we combined human

245 Applying representational similarity analysis, we found that succ

246 This apparent representational similarity between the posterior-dorsal

247 In most of these regions, the representational similarity of action categories was con

248 3/DG) encoded regularities by increasing the representational similarity of their constituent objects

249 As the resulting change in representational similarity predicts interindividual dif

250 Furthermore, the representational similarity structure within this brain

251 performance also perform well on measures of representational similarity to IT, and on measures of pr

252 ing of acquired stimulus importance based on representational size in AI.

253 We present a high-dimensional model of the representational space in human ventral temporal (VT) co

254 Specifically, the abstract representational space-measured as dissimilarity matrice

255 des evidence for a continuum in the abstract representational space-with primates at one end and inse

256 , both current and out of sight, in a common representational space.

257 d neural representational spaces with target representational spaces based on behavioral judgments an

258 We compared neural representational spaces with target representational spa

259 nized around the concept of high-dimensional representational spaces.

260 iently these mechanisms can support memory's representational specificity in a way that cannot simply

261 These data provide evidence in humans that representational stability in hippocampus across time ma

262 ut through an interactive website as well as Representational State Transfer (REST) and Simple Object

263 epository for Interaction Datasets (BioGRID) representational state transfer (REST) service allows fu

264 Global Proteome Machine and Database (GPMDB) representational state transfer (REST) service was desig

265 ess protocol (SOAP) and PUG-REST, which is a Representational State Transfer (REST)-style interface.

266 t a Web service to access Ensembl data using Representational State Transfer (REST).

267 ping additional Web Services based either on Representational State Transfer or Simple Object Access

268 This API, which uses a RESTful (Representational State Transfer) implementation, is comp

269 New REST (REpresentational State Transfer) web services have been

270 pecies in European Nucleotide Archive, using Representational State Transfer.

271 ing memory (WM) might not all be in the same representational state.

272 ediate shifts of information among different representational states in STM.

273 ral correlates of shifting information among representational states of STM.

274 at can nevertheless consist of contradictory representational states, which are reflected by mismatch

275 t behavioral costs associated with different representational states.

276 mals has a reduced "vocabulary" of available representational states.

277 information may indeed be afforded a unique representational status in the brain.

278 erties of language, including its multilevel representational structure and duality of patterning.

279 of formal and mechanistic alignment between representational structure building and "cortical" oscil

280 r is it uniquely adaptive such that no fixed representational structure can develop?

281 Instead, the representational structure of body maps in OTC appears s

282 al divisions reflect the major joints in the representational structure of objects and thus place inf

283 ptual knowledge can systematically alter the representational structure of social categories at multi

284 rently from space in the orthogonal axis - a representational structure we have termed "bicoded." We

285 layed a relatively minor role in driving the representational structures of early visual and ventral

286 vance both contributing significantly to the representational structures of the dorsal regions.

287 nectivity profiles associated with different representational subspaces of FFA: the first principal c

288 ggest that development of individual spatial-representational systems precedes development of the cap

289 ract and concrete word meanings are based in representational systems that have qualitatively differe

290 man mathematical competence emerges from two representational systems.

291 nsive characterization of episodic memory in representational terms, and propose a novel functional a

292 Mental simulation may also be a representational tool to understand the self and others.

293 change in reward criterion, strategy-related representational transitions in mPFC occurred after anim

294 animals made their own strategic decisions, representational transitions in mPFC preceded changes in

295 in the stability and plasticity of different representational types, and

296 in auditory cortex and emerge as fundamental representational units for top-down attentional modulati

297 ionally distinct classes of processing unit: representational units that encode the conditional proba

298 y be dependent on a dimension other than the representational value of stimuli.

299 cial recurrent retrieval was associated with representational variability, such that the pattern simi

300 ernatively, recurrent retrieval might foster representational variability--the altering or adding of