ライフサイエンスコーパス: representation

1 nd neuronal activity consistent with a value representation.

2 um from strict modularity toward distributed representation.

3 of models to be transformed into a hardware representation.

4 with its forepaw-like somatosensory forepaw-representation.

5 the somatotopic organization of the forelimb representation.

6 sensory stimulus to low-dimensional decoded representation.

7 igenomic data into a dense, information-rich representation.

8 al substrate for episodic memory and spatial representation.

9 ances pattern completion, resulting in rigid representations.

10 re biased by design toward finding localized representations.

11 to establish and validate generalizable pain representations.

12 llum actively encodes and maintains mnemonic representations.

13 EC) is of key importance for forming spatial representations.

14 related) of dominant lineages to improve LSM representations.

15 iency and sparseness of the resulting neural representations.

16 l ganglia support exploration of latent task representations.

17 f past experiences to form configural memory representations.

18 ify what triggers familiarity for relational representations.

19 ording to increasing complexity of molecular representations.

20 spatially transformed versions of perceptual representations.

21 ng the most central and basic theory of mind representations.

22 gical data while generating 3D tractographic representations.

23 s could be discovered within the autoencoder representations.

24 s more informative and generalizable disease representations.

25 or studying the mechanisms underlying memory representations.

26 rrent environment and their long-term memory representations.

27 is critical for the alignment of these early representations.

28 efore, predictive brains need abstract value representations.

29 indexes the formation of individuated object representations.

30 owledge of the world in categorical semantic representations.

31 s in the control of internally maintained WM representations.

32 However, the purpose of this distributed representation across functional hierarchies remains unc

33 make significant advances to deliver greater representation across the metabolome.

34 d in their ability to generalize or transfer representations across different tasks.

35 items and to require fundamentally different representations-across different stimuli, tasks and type

36 Our data suggest that state representation and decision-making computations for cogn

37 ulus with a reward led to a similar enhanced representation and increased discriminability between th

38 nce and secondary structure on their genomic representation and mutability.

39 ves aimed at improving diversity, inclusion, representation and participation within SER.

40 ropose a method for temporal network pattern representation and pattern change detection following th

41 to collect massive features for quantitative representation and precision medicine, and thus, automat

42 formal elucidation of some of the ways that representation and representational abstraction are invo

43 ted into the four different levels of genome representation and twenty feature sets were generated by

44 semantic system code for a general semantic representation and/or possess representational spaces li

45 tion of memory in which interactions between representations and cognitive operations within large-sc

46 how do cortical circuits implement nonlinear representations and computations?

47 e transients in the establishment of spatial representations and lead to testable predictions about t

48 rlie the retrieval of pattern separated item representations and recollection of source information.S

49 e biological features captured in the latent representations and, consequently, limits what can be di

50 two hits, we used a compressed binary matrix representation, and optimized the algorithm for parallel

51 thy cause of improving diversity, inclusion, representation, and participation across the Society for

52 sequence of neural activity into an abstract representation, and then to decode this representation,

53 ch suggests that other visual working memory representations are "accessory items", which have little

54 l point of contention being whether internal representations are continuous or discrete.

55 uent sequences and aggregating their diverse representations are critical to the elucidation of the g

56 Theoretically, working memory (WM) representations are encoded by population activity of ne

57 to guide behavior, we must know how stimulus representations are transformed throughout the visual co

58 Here we review how memory representations are updated through dynamic recruitment

59 A closer examination suggested that women's representation as first authors of COVID-19 research was

60 e and determine the density of states for CG representations as a function of their ability to preser

61 ults provide direct evidence for conjunctive representations as critical precursors of action selecti

62 EC neurons also show striking spatial representations as primates explore visual space, simila

63 isodic retrieval, and is involved in content representation, as well as in the evaluation of memory t

64 Using vg leads to a balanced allelic representation at polymorphic sites, effectively removin

65 he right circumstances, individuals may form representations at multiple levels of specificity, poten

66 r stimuli, increasing the distance in neural representations between stimuli, responding more to the

67 p arrays (27 K and 450 K arrays) and reduced representation bisulfite sequencing (RRBS), only cover a

68 ocaine experience disrupted the evolution of representations both within trials and across recording

69 metrics are uncorrelated in high-resolution representations but become anticorrelated at lower resol

70 ng gaps in spatial, temporal, and organismal representation, but also with a more ambitious goal: to

71 he dichotomy between tangible and intangible representations, but the latter remains rather ill-defin

72 examined the consequences due to the lack of representation by genotyping in a large number of self-r

73 suggesting an enhancement of the rate-place representation by inhibition.

74 There was equal representation by sex in the surveys (52% girls and 48%

75 nd evidence that three visual working memory representations can simultaneously control attention.

76 Dynamic network representations, data tables, and plots with comprehensi

77 ions) indicated that listeners use different representations depending on the time delay between soun

78 gle, binocularly aligned modular orientation representation develops independent of sensory experienc

79 ns transformed to distinct sentence-specific representations during mental rehearsal.

80 ost salient in lateral VTC, whereas category representations (e.g., corridors/houses within the domai

81 Domain representations (e.g., faces, bodies, places, characters

82 sociation, whereas the pPC lacks an explicit representation even after weeks of overtraining.

83 ttention a key mechanism for a flexible body representation for action.

84 -neuron activity in the amygdala and found a representation for observational rewards as well as obse

85 substantially more reliable and informative representation for perturbagens than existing methods.

86 C57BL/6 mice, we show here that an explicit representation for reward category emerges in the OT wit

87 earning promoted formation of differentiated representations for overlapping memories in the dentate

88 d embeddings can be treated as complementary representations for the biological features.

89 cell differentiation by building meaningful representations from the high dimensional and complex ge

90 icity increase the distance between the odor representations from the perspective of MBONs.

91 e-related activity, the robustness of the 3D representations further increased for those neurons.

92 ments that target specific types of mnemonic representations has provided deep insights into memory a

93 The choice of such representations impacts the performance and outcomes of

94 synthesize a coarse-grained auditory speech representation in early auditory cortices.

95 by reviewing what is known about its neural representation in the early visual cortex, with a brief

96 However, the details of place representation in the LS, and whether this place informa

97 The structure of self-other representation in the mPFC and across the social brain a

98 jects increases the dimensionality of neural representations in dlPFC.

99 ontributions of feedback modulations on size representations in EVC, we investigated the dynamics of

100 level sensory areas to increasingly abstract representations in higher-level areas.

101 object and scene categorization with neural representations in human brain visual regions.

102 tion of new memories into stable generalized representations in neocortex.

103 d specifically to find radically distributed representations in neural networks.

104 mensionality': synchronization of confidence representations in prefrontal cortex with reward predict

105 Our data indicate that landmark representations in RSC are the result of local integrati

106 te that learning alters orientation-specific representations in superficial rather than middle or dee

107 nown about how OR antagonism shapes neuronal representations in the detection layer of the olfactory

108 tions regarding maintenance of robust latent representations in the presence of confounding backgroun

109 nvoluntary guidance of attention to internal representations in visual working memory.

110 ory traces, potentially restructuring memory representations in vmPFC.SIGNIFICANCE STATEMENT How new

111 ure of fine-scale, submillimeter distributed representations in VTC is unknown.

112 For such representations, information is distributed across multi

113 First, molecular representation is learned from a large data set of struc

114 ce that highlights odour relationships; this representation is similar across individuals but remains

115 owever, systematic characterisation of speed representation is still lacking.

116 To study how spectral representation is transformed through modular subsystems

117 However, changing mental representations is not sufficient by itself; gist repres

118 ivity of this network and its impact on odor representations is not well understood.

119 Whitening of odor representations is therefore mediated by higher-order st

120 The transcriptomic representation learned by HE2RNA can also be transferred

121 an autoencoder network was implemented for a representation learning of the gene expression data, and

122 This interplay between categorically driven representations, linked to the object being accessed, an

123 sly imagined, and, in particular, that motor representations may underpin automatic false-belief trac

124 s true size, providing evidence for separate representations mediating perceptual appearance and moto

125 sembles, we further show that these specific representations modulate preference behavior toward male

126 sentations is not sufficient by itself; gist representations must be connected to values.

127 from four different 'levels' of viral genome representation: nucleotide, amino acid, amino acid prope

128 The erroneous representation of (2S,5S,8S)-configuration in greensporo

129 paradigm that results in the functional over-representation of 7 kHz within the adult tonotopic map.

130 The Bitome is a formal representation of a genome and may be used to study its

131 ariate pattern analysis revealed an accurate representation of body dyads with sharpening of the repr

132 e detail of individual steps, and DMN adding representation of broad task context.SIGNIFICANCE STATEM

133 counted for by representation of value or by representation of broader associative structure.

134 e and the proper use of logarithmic plots in representation of calibration data sets.

135 These simpler analyses provide a limited representation of cartilage properties thus greatly redu

136 Thus, cortex actively builds a structured representation of chemical odour space that highlights o

137 brain flatmaps provide layered diagrammatic representation of CNS divisions, according to their arra

138 tive areas may enable a dynamic and flexible representation of complex visual scenes that can be modu

139 resonance imaging in humans, we examined the representation of different tastes delivered during scan

140 l objects, allowing us to measure the neural representation of each object in visual cortex.

141 uggested that the SOSIP trimer is not a good representation of Env on the surface of a virion or an i

142 tional signature in younger females and over-representation of environmental carcinogen-like mutation

143 The representation of faces in early stages of visual proces

144 Experimentally, we showed representation of four DNA targets' information in a sin

145 for cortical territory due to the demand for representation of function.

146 F5 maintained a similar representation of grasping actions during both execution

147 their diversity. The top layers had a higher representation of halophilic archaea Halobacteriaceae, p

148 The analysis of a wide representation of heterologous plant species corroborate

149 We develop a new tool based on a representation of HiChIP data centred on the re-ligation

150 We find that the representation of illusory faces is confined to occipita

151 ing mouse organ cells, we show Hopper's even representation of important cell types in small sketches

152 NAcC neuronal recordings revealed a stronger representation of incentive than instructive stimuli.

153 ould expose fundamental principles governing representation of information throughout the nervous sys

154 A valid representation of intra-annual wood formation processes

155 gth subtree and manual selection to maximize representation of Louisiana clones and minimize import o

156 scale hydrological model for a process-based representation of mosquito breeding habitat availability

157 ondence between category selectivity and the representation of multi-category stimuli along a large,

158 to stabilise place cells while facilitating representation of multiple unique environments within th

159 Previous studies have shown that the neural representation of multiple visual stimuli can be account

160 lting functional connectome revealed an over-representation of multisynaptic connectivity motifs that

161 rimates, these results indicate a multifocal representation of object geometry for grasping in the PM

162 We performed 2-photon imaging to examine the representation of odors in piriform and in two downstrea

163 The representation of position in the mammalian brain is dis

164 ntation of body dyads with sharpening of the representation of single-body postures in facing dyads,

165 istic models provide a low-error, compressed representation of single-cell data that enables efficien

166 for the multifaceted role of the rTPJ in the representation of social inputs into value-based decisio

167 are necessary to maintain a precise cortical representation of space.

168 nsformed into a global, multimodal, abstract representation of space.

169 ight be the case, we investigated the neural representation of speech in the auditory midbrain of ger

170 ovides important insight into how the neural representation of subjective thirst is generated and how

171 n the present study, we examined the spatial representation of taste within the human brain using ult

172 dings establish a cellular mechanism for the representation of temporal information in the human brai

173 rn discovery with a corresponding structural representation of the cell state landscape.

174 MOFA+ reconstructs a low-dimensional representation of the data using computationally efficie

175 world events on a canvas according to their representation of the event's temporal position relative

176 InterventionProcedure: A digital representation of the exenteration socket and contralate

177 te between sensory experience and the stored representation of the expected object-context pairing.

178 to emerge from fitting a hierarchical latent representation of the mind to multivariate, multimodal d

179 the predicted direction modulated the neural representation of the moving dots just 150 ms after they

180 y for 38 markers provide a higher resolution representation of the multiple mammary epithelial cell t

181 e-graph structure to present a more accurate representation of the mutated cancer genomes.

182 ntegration, and in a specific direction: the representation of the novel face becomes similar to that

183 s and transformed by the brain into a mental representation of the object under investigation.

184 They indicate that the neural representation of the outside world is altered by our pr

185 rch are displayed using the same graph-based representation of the pattern.

186 anscranial magnetic stimulation over the arm representation of the primary motor cortex, maximal volu

187 gy terms with a score obtained using a graph representation of the protein-protein interfaces and a m

188 pically a low-dimensional and easily modeled representation of the relationship between the observed

189 relate with the net influx rate (K(i)), as a representation of the somatostatin receptor expression.

190 rovide a new, interactive, three-dimensional representation of the traditional Manhattan plot for dis

191 maps in the cerebral cortex, the topographic representation of the whiskers in the primary somatosens

192 processing in building a coherent and stable representation of the world around us.

193 To form a coherent representation of the world, the brain needs to integrat

194 sensory statistics, resulting in an impaired representation of the world.

195 ous memory predictions to promote an updated representation of the world.

196 of using data-driven approaches to study the representation of these cues by the perceptual system.

197 rogliomas, but could be tuned to improve the representation of these tumour types.

198 in human infants have reported an increased representation of Tregs in these individuals.

199 pdated land model (LM3PPA-TV) to improve the representation of tropical forest structure and dynamics

200 This involvement could be accounted for by representation of value or by representation of broader

201 vious results are consistent with a neuronal representation of value, but the role of the BLA in econ

202 bject recognition, but it is unclear how the representation of visual objects is organized in this pa

203 ace applications and for study of population representation of visual stimuli.SIGNIFICANCE STATEMENT

204 externally forced and largely linked to the representation of volcanic aerosols.

205 egetation models requires better mechanistic representation of water and nutrient limitation, plant c

206 The representation of women and scientists from underreprese

207 Barriers to authorship and representation of women in HF guidelines and HF trial le

208 r diagnosis to address the effects of varied representations of AI-based support across different lev

209 Using a custom code to find the magnetic co-representations of all bands in all magnetic space group

210 Importantly, inference was accompanied by representations of associated cues and inferred outcomes

211 selections was accompanied by changes in the representations of belief uncertainty in ventromedial pr

212 often been understood as depending on prior representations of belief.

213 erstand others' minds has tended to focus on representations of beliefs, which are widely taken to be

214 As systematic representations of chemical odour space have not yet bee

215 e present a compiler which converts standard representations of chemical reaction networks and circui

216 eddings-which involve the learning of vector representations of concepts using machine learning model

217 inction efficacy via persistent multivariate representations of conditioned learning in the cerebellu

218 g a context, differences between hippocampal representations of contexts (i.e., neural pattern separa

219 ously-imaged MCs reformatted over time, with representations of different odorants becoming more dist

220 on, physicochemical-2grams and two different representations of evolutionary information performs bes

221 information to be bound together to generate representations of experiences.

222 The potential for neuronal representations of external stimuli to be modified by pr

223 milarity analysis on the EEG data, we reveal representations of facial attractiveness after 150-200 m

224 Here, we investigated how rapidly representations of facial attractiveness emerge in the h

225 lular metadata, in concert with more nuanced representations of functions and properties, hold great

226 g, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

227 Our model constructs representations of high-dimensional inputs through a com

228 Representations of knowledge, by contrast, have received

229 associations between actions and egocentric representations of landmarks; and action values from eit

230 able of providing whole-organ tensor imaging representations of local regional descriptors based on f

231 We argue that neural representations of memories are best thought of as spati

232 Instead, L-dopa attenuated neural representations of overall uncertainty in insula and dor

233 It is unknown how these multiple representations of position are coordinated.

234 These findings suggest that abstract neural representations of regularly occurring events may be fou

235 ously leading to the formation of integrated representations of related events in subfield CA(1) Furt

236 ivation of individualized multilevel dynamic representations of rhythms of multiple homeostatic regul

237 vast majority of what is known about neural representations of space for self and others stems from

238 Neuronal representations of spatial location and movement speed i

239 We propose that working representations of speech categories are driven both by

240 egration of sensory information and internal representations of stimulus history, functions carried o

241 asurement of distributed neuronal population representations of targeted motor actions on single tria

242 We begin by learning vector representations of tasks.

243 bsence and between the binary and continuous representations of the data.

244 Three-dimensional (3D) representations of the environment are often critical fo

245 d because of, their departure from veridical representations of the environment.

246 solidate streams of information into unified representations of the external world.

247 Humans and animals use mental representations of the spatial structure of the world to

248 a maximum entropy model of people's internal representations of the transitions between stimuli.

249 Here, we investigated representations of these different information types, us

250 these summary statistics to create internal representations of these stationary sounds, however, is

251 at animals use disembodied internal neuronal representations of time to decide when to initiate a giv

252 information processing and activate sensory representations of trauma, sensory disinhibition can con

253 s embodied approaches that include realistic representations of voice physiology.

254 ace and MB learning by learning a "successor representation" of relational structure between states;

255 enable characterisation of social cognition representations on a finer scale using sensitive and app

256 ward, there was either no change in stimulus representation or a decreased representation when the st

257 perceptual processing, in matching of memory representations or in later stages of response selection

258 at machine learning models that exploit this representation outperform those trained directly on epig

259 rvations, they tend to prioritize conceptual representations over empirical data.

260 According to the dominant view of category representation, people preferentially infer that kinds (

261 ral features mask each other, the individual representations persist, but they occur with an approxim

262 rthermore, memory reactivation and subiculum representation predicted success when inferring indirect

263 ound that neurons with more robust 3D visual representations preferentially carried choice-related ac

264 However, current evidence for cortical taste representations remains contradictory.

265 tical networks and integration across memory representations, remains unclear, as does the specificit

266 We use reduced-representation sequencing and marker-based genotyping to

267 may be mirrored by a "lonelier" neural self-representation.SIGNIFICANCE STATEMENT Social connection

268 stability, followed by a new, stable spatial representation that appears after fear extinction.

269 , they are based on a transformed similarity representation that is nonlinearly related to stimulus s

270 r memory acquired through learning comprises representations that are effector-independent.

271 l and frontoparietal regions formed abstract representations that coded cross-triad relationships wit

272 tes auditory and visual spatial signals into representations that guide motor responses.

273 tes auditory and visual spatial signals into representations that guide motor responses.SIGNIFICANCE

274 e representation to another, forming dynamic representations that unfold on the underlying network.

275 with tufted cells (TCs), leading to odorant representations that were more distinct after repeated s

276 The increase in mid- and extra-spectral hue representations through V2 and V4 reflects the nature of

277 of how patterns of activity evolve from one representation to another, forming dynamic representatio

278 We use this learned representation to impute epigenomic data more accurately

279 Specifically, we employ sparse representation to integrate multimodal brain network inf

280 which uses atomium to give a consistent JSON representation to the entire Protein Data Bank.

281 rating that HD cells align their directional representations to both local (current plane of locomoti

282 tine that leverages deep learning and sparse representations to reduce the need of training data and

283 ermit analogical reuse of previously learned representations to superficially distinct tasks.

284 -diagram is one of the widely used graphical representations to visualize and explore translational e

285 actor basins that promote abnormal, bistable representations under certain conditions.SIGNIFICANCE ST

286 of this research for elucidating the visual representations underlying face recognition.

287 s were separated in time, implicating memory representations unique to harmonic sounds.

288 he reference frames that code the high-level representations used to make judgements about faces.

289 two distinct murine models of iNKT cell over-representation: Vbeta8 TCR congenic and Valpha14 TCR tra

290 raph convolutions to this explicit molecular representation, we achieve, to our knowledge, unpreceden

291 es that contribute to enhanced natural scene representation, we performed calcium imaging of excitato

292 vestigate when expectations affected sensory representations, we used inverted encoding models to dec

293 ge in stimulus representation or a decreased representation when the stimulus was viewed at a fixed t

294 Our motor system can generate representations which carry information about the goals

295 ability is the use of abstract, hierarchical representations, which employ structure in the environme

296 owledge gap, we first mapped the M1 forelimb representation with intracortical microstimulation (ICMS

297 The result is a complex representation with logical structure.

298 We propose that representations with common geometric structure provide

299 This scale-free architecture supports representations with diverse functions and levels of abs

300 ract representation, and then to decode this representation, word by word, into an English sentence.