ライフサイエンスコーパス: decoding

1 nitial perceptual decision (across-condition decoding).

2 information-seeking choice (within-condition decoding).

3 in single-neuron selectivity and population decoding.

4 t does not enable behaviorally useful linear decoding.

5 pike intervals of 50-150 ms provided optimal decoding.

6 destly alter both translation speed and mRNA decoding.

7 s requiring U34-modified tRNAs for efficient decoding.

8 ion-induced temporal bias inherent in causal decoding.

9 PA), which showed better texture than layout decoding.

10 patterns, which can be further used for fMRI decoding.

11 on likelihoods significantly improves answer decoding.

12 basis for single-trial single-cell stimulus decoding.

13 al curves (FORC) to investigate quantitative decoding.

14 G34-containing tRNAs decoding 4-codon boxes are almost absent from eukaryotic

15 the side chain for binding to the ribosomal decoding A site.

16 Decoding a time-varying stimulus from the population res

17 In this work, we propose action decoding, a paradigm-shifting approach for independent,

18 Auditory attention decoding (AAD) through a brain-computer interface has ha

19 voxel shift led to a significant decrease in decoding accuracy (p < 0.05) across all cortical depths,

20 QRNN) outperformed other methods in terms of decoding accuracy and stability.

21 Furthermore, agent cross-decoding accuracy between self and other in the dmPFC wa

22 and EEG, and compared their information and decoding accuracy for a large variety of naturalistic st

23 ar stimulus-reconstruction method, improving decoding accuracy from 66% to 81% using wet EEG and from

24 and sighted individuals, with an increasing decoding accuracy gradient from foveal to peripheral reg

25 Furthermore, the spatial pattern of sound decoding accuracy in early visual cortex was remarkably

26 Control analyses showed that higher decoding accuracy of ECoG compared with local field pote

27 ding functional groups in the model enhances decoding accuracy of sensory information compared to a m

28 ous selection of out-of-system areas because decoding accuracy remains exceedingly high even when can

29 ational dynamics coincides with a plateau in decoding accuracy, revealing that rotational dynamics in

30 in representational strength-indexed through decoding accuracy-proceeded from superficial task cues,

31 med other signals in information content and decoding accuracy.

32 light can improve model-based similarity and decoding accuracy.

33 od to estimate an upper bound on model-based decoding accuracy.

34 rker of distractor inhibition, and decreased decoding accuracy.

35 ional decoding experiments that investigated decoding accuracy: (1) based on delta band time-domain f

36 Multivariate decoding algorithms and cortical source reconstruction p

37 ant representations can be extracted through decoding analyses from the scalp electrophysiological si

38 Decoding analyses in brain regions previously implicated

39 s of dorsal CA1-PFC ensembles and population decoding analyses in male rats performing a continuous s

40 Decoding analyses indicate that cortical odor representa

41 However, they can be detected through decoding analyses on recordings from a large number of n

42 Our decoding analyses reveal that both the content and the t

43 Model-based tuning and decoding analyses revealed that power variations along t

44 Encoding and decoding analyses suggested observational value coding i

45 Decoding analyses suggested that errors followed from a

46 Using decoding analysis in the poststimulus period between sen

47 Additionally, a population decoding analysis suggests the presence of information f

48 computational study, we investigated offline decoding analysis with different models and conditions t

49 ycobacterium tuberculosis that explains tRNA decoding and aminoacylation sensing by this riboregulato

50 Overall, the T-box consists of decoding and aminoacylation sensing modules bridged by a

51 We then use a both a decoding and an encoding approach to relate clarity and

52 at stabilize these assemblies is critical to decoding and controlling cellular functions.

53 e, generated by the tandem mass spectrometry decoding and encryption.

54 ent reaction is designed to protect MIC from decoding and falsification.

55 Neural decoding and neuromodulation technologies hold great pro

56 n the environment of the ribosome functional decoding and peptidyl transferase centers.

57 s are of particular importance for ribosomal decoding and proteome homeostasis.

58 esponse to amino acid starvation by binding, decoding and reading the aminoacylation status of specif

59 Multivariate decoding and source analyses showed that selecting the m

60 expected relationship between aminoacyl-tRNA decoding and translocation suggests that miscoding antib

61 modification in yeast tRNA(Lys) affects mRNA decoding and tRNA-mRNA translocation.

62 e environment, scalability, rapid and facile decoding, and biocontainment.

63 When decoding animal position from spike counts in 1D and 2D-

64 illustrates a fundamental challenge of brain decoding applications-that the brain inherently adapts t

65 Our decoding approach exploits a representation-similarity-b

66 Using a time-generalized decoding approach, relatively decreased strength of memo

67 Using statistical tests and a decoding approach, we found that only in a minority of c

68 Using a decoding approach, we show that perceptual performance i

69 riven cognitive neuroscience and data-driven decoding approaches, there is a need for methods that al

70 Finally, leveraging multiple fMRI decoding approaches, we show that spontaneous reactivati

71 Improvements in neural decoding at the individual exemplar level for audiovisua

72 d that transcription is generally efficient, decoding at the ribosome is generally more challenging,

73 t uses binary encoding, spectral imaging and decoding based on machine learning to create micrometre-

74 ng rule can achieve these bounds, accurately decoding behavior over many days.

75 (encoders) followed by an expansive path of decoding blocks (decoders).

76 Furthermore, sequences maintain robust decoding, but display highly labile dynamics, when synap

77 EF-Tu plays a critical role in mRNA decoding by increasing the rate and fidelity of aa-tRNA

78 CaMKIIalpha plays an essential role in decoding Ca(2+) signaling in spines by acting as a leaky

79 n can better be decoded than distance, their decoding capabilities are comparable.

80 This increases the decoding capacity of HES5 oscillations and correlates wi

81 lysine in the exit tunnel and poly(A) in the decoding center allows ribosomes to detect aberrant mRNA

82 ral motifs that recognize stop codons in the decoding center and a GGQ motif for induction of hydroly

83 specific protein Y (Mpy), which binds to the decoding center and stabilizes the ribosome in an inacti

84 The reconfigured decoding center clashes with incoming aminoacyl-tRNA, th

85 38) to tune the binding of each tRNA to the decoding center in the ribosome.

86 cal tetracycline binding site located in the decoding center of the small ribosomal subunit.

87 re 30S subunit destabilized helix 44 and the decoding center preventing binding of YjeQ, another asse

88 small ribosome subunit rRNA in the ribosomal decoding center results in exceptionally high-level amin

89 n, permitting poly(A) mRNA in the ribosome's decoding center to adopt a ribosomal RNA-stabilized sing

90 s unclear how m(1)G37 affects binding at the decoding center to both cognate and +1 slippery codons.

91 ribosomal RNA (rRNA), a key part of ribosome decoding center.

92 xoG interacts with the tRNA anticodon in the decoding center.

93 e 30S subunit then locks cognate tRNA in the decoding centre and rotates, enabling the tRNA to bypass

94 tRNA upon initial recognition, the ribosomal decoding centre dynamically monitors codon-anticodon int

95 By contrast, the decoding centre fails to lock near-cognate tRNA, enablin

96 elix, initiating step-wise 'latching' of the decoding centre.

97 A transient conformation of decoding-centre nucleotide G530 stabilizes the cognate c

98 The theme of the meeting was "Decoding Complex Skin Diseases: Integrating Genetics, Ge

99 Support-vector-machine decoding demonstrated accurate neuronal risk discriminat

100 iate LSM analyses revealed that phonological decoding depends on perisylvian areas subserving sound-m

101 f PI3K context-dependent signal encoding and decoding described here are likely applicable to most, i

102 After successful decoding, EF-Tu hydrolyzes GTP, which triggers a conform

103 ide mechanistic insight into the coupling of decoding efficiency with mRNA stability.

104 s of emotion processing that include sensory decoding, emotion categorization and emotional contagion

105 The potential for editing human memory-decoding, enhancing, incepting, or deleting specific mem

106 ny cases, it makes orders of magnitude fewer decoding errors than pure selectivity even when both for

107 ecifically, we conducted three computational decoding experiments that investigated decoding accuracy

108 feasibility of a BCI to display emotions by decoding facial expressions.

109 nd pilot testing of an integrated system for decoding facial strains and for predicting facial kinema

110 However, neither the decoding feature of endogenous mRNAs nor the physiologic

111 tabilize tRNA-codon interactions, increasing decoding fidelity.

112 previously shown to support flexible linear decoding for complex behavioral tasks.

113 most sharply tuned and offered more accurate decoding for seen than for attended categories.

114 itioning of ribosomes on their messages into decoding frames that differ from those dictated during i

115 Functional groups, in encoding and decoding frameworks, provide an operational definition o

116 While this decoding function is clear, an emerging theme is that tR

117 By linking translation through their decoding functions to metabolism through their biosynthe

118 ome-based prediction provides a new tool for decoding gene regulatory circuitry in samples with limit

119 ssecting the subunit specificity of dynamics-decoding genes suggested that target genes were most oft

120 coding" genes, as well as cell type-specific decoding genes.

121 shared a cluster of such "NF-kappaB dynamics-decoding" genes, as well as cell type-specific decoding

122 mRNA translation is a key step in decoding genetic information.

123 Collectively, these results enable decoding genome function from sequence through structure

124 Here we analyze the fidelity of encoding and decoding global motion in a natural scene across large p

125 ling method can be broadly used not only for decoding GPCR phosphoproteome but also for effective RPL

126 f traditional inference such as global state decoding, hidden state predictions, one-out conditional

127 Thus, decoding how OPCs and myelinating oligodendrocytes integ

128 Population decoding identified differential contributions of amygda

129 ound structure and allow for accurate neural decoding in a single trial recognition task with evidenc

130 ectroencephalography (EEG), and multivariate decoding in an audiovisual spatial localisation task, we

131 amic filtering, enabling frequency-dependent decoding in cell populations.

132 ocktail party scenario, as well as attention decoding in emerging applications such as smart hearing

133 lanation for the observed effects by showing decoding-incompatible conformations of mRNA in the A sit

134 By decoding individual episode elements, we found that tria

135 Genetic decoding is surprisingly heterogeneous because multiple

136 Decoding is thought to be governed by a conformational t

137 two tRNA features combine to ensure accurate decoding is unclear.

138 y (EEG) have demonstrated the feasibility of decoding kinematics for lower limb movements during walk

139 r, functional neuroimaging studies aiming at decoding language meaning from neural activity have most

140 For faces and possibly other domains, such decoding may reveal representations more widely distribu

141 Finally, we introduce a cross-participant decoding method to estimate an upper bound on model-base

142 Applying a Bayesian decoding method, we verified that information about high

143 ed population selectivity in the V1 by using decoding methods and found that natural scene discrimina

144 the vERPs was assessed through multivariate decoding methods.

145 We hypothesize that a decoding model assuming each experimental trial as a rea

146 for methods that allow to interpret trained decoding models.

147 ivity in cognition: network coding (encoding/decoding) models.

148 and the Stem-II S-turn assemble a claw-like decoding module, while the antiterminator, Stem-III, and

149 ertain which features were most relevant for decoding; moreover, the stability to perturbations was a

150 I, however, lacks the sensitivity needed for decoding multidimensional information such as spatially

151 location, which in turn improved positional decoding near this location.

152 Decoding network excitability from neural activity at mo

153 ta in a more efficient manner, followed by a decoding network through which intermediate-level sub-fu

154 stic "experiential" knowledge contributes to decoding neural representations of sentence meaning.

155 Here we unravel a mechanism decoding neural stem cell temporal gene expression and t

156 Thus, this atlas serves as a resource for decoding neurodevelopmental gene regulation in health an

157 ture, the 30S shoulder is rotated inward and decoding nucleotide G530 flips into the anti conformatio

158 Here, we demonstrate successful decoding of 1.67 megabytes of information stored in shor

159 he stimulus-encoding process to the eventual decoding of a sensory-perceptual estimate.

160 Stop codon readthrough-the decoding of a stop codon by a near-cognate tRNA-is emplo

161 Support vector machine decoding of alpha power patterns revealed that late (>50

162 We found that decoding of angle between reaches is dependent on reach

163 eaches is dependent on reach distance, while decoding of arc-length is independent.

164 The stability allowed reliable decoding of behavioral features for the entire timespan,

165 This understanding may facilitate decoding of brain activity when using brain-machine inte

166 In sum, a data-driven decoding of brain states reveals the distinct reshaping

167 y an unknown mechanism, while still allowing decoding of CGU and CGC.

168 rol through overground walking and cue-based decoding of cortical motor commands using a brain-machin

169 Using time-resolved decoding of electroencephalographic (EEG) data, we demon

170 We used multivariate decoding of electroencephalography (EEG) data to investi

171 -deformation signatures, enable the reliable decoding of facial movements.

172 Trial-by-trial decoding of input timings from brain activity suggested

173 on stem and loop domain (ASL) negates wobble decoding of its synonymous A-ending codon, suggesting th

174 A decoding of joint-action was obtained by combining the t

175 Decoding of manual articulatory features revealed a clea

176 vidence that the experiential model improves decoding of more concrete sentences.

177 We then examined the encoding and decoding of motion direction in both individual and popu

178 ork for interpreting encoding, recoding, and decoding of neural data in light of this rational model

179 ke text reading, mindreading does not entail decoding of observable stimuli.

180 and acoustic features were combined and the decoding of phoneme subgroups from phoneme-locked respon

181 ithin biological networks, and assist in the decoding of polygenic associations to complex disorders

182 Phonological decoding of print relies on a dorsal perisylvian network

183 uorescence crosstalk and allows quantitative decoding of quantized fluorescence states.

184 w these light level-dependent changes impact decoding of retinal output, testing the importance of ac

185 Time-resolved multivariate decoding of scalp EEG signals first revealed that both i

186 -based model contributes particularly to the decoding of sentences containing linguistically oriented

187 RNA isoacceptors, loss of m(5) C impacts the decoding of some triplets of these two amino acids, lead

188 Level-invariant decoding of sound lateralization also becomes possible i

189 These results demonstrate real-time decoding of speech in an interactive, conversational set

190 izing transmission and statistically optimal decoding of subjective values by a limited-capacity syst

191 We show that optimal decoding of temporally correlated stimuli not only relie

192 pital and parietal cortex supported enhanced decoding of the currently drawn object across the traini

193 an online task involving the one-dimensional decoding of the movement of finger groups and in an offl

194 tivariate pattern analysis, we showed robust decoding of the perceptual report during the poststimulu

195 eriment 2, to eliminate the possibility that decoding of the physical features of cues led to our res

196 fold perspective enables blind discovery and decoding of the represented variable using only neural p

197 ses to imagined stimuli and enabled accurate decoding of their position and content.

198 Meta-analytic decoding of these topographic dissociations highlighted

199 Decoding of this information begins with regulated trans

200 The decoding of transcription factor (TF) binding signals in

201 r model with efficient encoding and Bayesian decoding of visual information in a slowly changing envi

202 ly-circumscribed topics that enable flexible decoding of whole-brain images.

203 d a quantitative image-analysis pipeline for decoding organ-level calcium signaling.

204 that learned to reduce participants' pain by decoding pain-related brain activity.

205 the feasibility of using our proposed action decoding paradigm to predict movement action for all fiv

206 ropriate 'receiver' or 'channel', focuses on decoding 'parts', and often relies on a flawed 'veridica

207 We find evidence that color decoding peaks later for atypical object-color combinati

208 us, it might be more appropriate to quantify decoding performance for discrete BMIs by using arc-leng

209 se and broadly tuned, which severely limited decoding performance from small DSGC populations.

210 decodable across the stimulus; however, peak decoding performance occurred for voxels with receptive

211 The SBP may enhance the decoding performance of neural interfaces while enabling

212 Decoding performance showed that spatial frequency infor

213 elations between neural activities decreased decoding performance, mostly in CA1.

214 effect of various algorithmic parameters on decoding performance, such as feature selection and choi

215 spiking was minimal and had little impact on decoding performance, unlike results obtained using simp

216 suming independent noise severely diminishes decoding performance.

217 ing similar breadth of tuning, but different decoding performance.

218 ional biology methods have been essential in decoding plant genetic findings and revealing precise mo

219 We find that deep networks had higher decoding prediction accuracy compared to baseline models

220 The decoding process extracts each Sender's decision about w

221 A widely held view of this decoding process is that the brain relies on the output

222 ign to alleviate the ambiguity in the signal-decoding process, so that interfering sensor signals due

223 ement a more scalable and simplified optical decoding process.

224 Finally, we diverge the ncAA specificity and decoding properties of each pair, within a triply orthog

225 ation mechanism dysregulated in disease, yet decoding proteolytic regulation mechanisms of hundreds o

226 rithms are becoming increasingly popular for decoding psychological constructs based on neural data.

227 with severe SNHL: phonemic skills, phonetic decoding, reading comprehension, and speed of informatio

228 ese data to define different DSGC population decoding regimes that use or mitigate correlated spiking

229 that sensory adaptation can strongly impact decoding requirements on downstream brain areas.

230 f color naming could be accounted for by the decoding results: the greater precision in naming warm c

231 Bayesian phase decoding revealed error correction capable of resetting

232 Time-resolved cross-modal population decoding revealed that F6 neurons first integrate inform

233 Furthermore, cross-categorical decoding revealed that, within these regions, SVOI and e

234 ior piriform cortex (pPC) are candidates for decoding reward category from olfactory sensory input an

235 The precision of this decoding sets a lower bound for the amount of informatio

236 These results provide a blueprint for decoding signaling selectivity and advance our understan

237 s a V-shaped conformation to bridge the mRNA decoding site and the large subunit tRNA binding sites,

238 Further, the 16S rRNA decoding site nucleotides that monitor the mRNA in the a

239 Binding to the decoding site of the eukaryotic ribosomes appears to res

240 nce the essential freedom of movement of the decoding site of the ribosome, the region targeted by am

241 ncorporated into the bacterial ribosomal RNA decoding site, fluorescently reports antibiotic binding

242 Lso2/CCDC124 bridges the decoding sites of the small with the GTPase activating c

243 GNIFICANCE STATEMENT Lip-reading consists in decoding speech based on visual information derived from

244 Decoding speech from neural activity is challenging beca

245 r speech reception, (b) brain mechanisms for decoding speech presented in quiet and in acoustically a

246 In addition, in terms of encoding and decoding speeds, ENANO is 2.9x and 1.7x times faster tha

247 This work clarifies neuronal decoding strategies used by cerebral cortex to translate

248 closely approximate a mathematically optimal decoding strategy.

249 of the function of these complexes is key to decoding synaptic modulation and their global roles in c

250 into the molecular mechanisms underlying the decoding system and could help to elucidate the molecula

251 In tandem with this dorsal decoding system, anterior inferior frontal gyrus may coo

252 cy, thus demonstrating a universal frequency decoding system.

253 In decoding tasks, on the contrary, brain responses are use

254 Applying neural decoding techniques to the cortical activity of human su

255 a few ECoG electrodes allowed more accurate decoding than combining a much larger number of microele

256 ng a local population of RGCs produces worse decoding than using a single RGC, demonstrating a failur

257 Decoding the animals' choice from neuronal activity reve

258 discoveries have the potential to assist in decoding the complex genetic architecture of COPD.

259 Decoding the composition of the human immune system is n

260 Decoding the functional connectivity of the nervous syst

261 Single-cell RNA-seq is a powerful tool in decoding the heterogeneity in complex tissues by generat

262 SIMMS(2) thus overcomes the bottleneck for decoding the informational content of functional HS moti

263 their insect hosts is an excellent model for decoding the intricate coevolutionary processes of host-

264 Decoding the L. vannamei genome not only provides an ins

265 Yet even with the recent surge in studies decoding the mechanisms underlying these diseases, a sig

266 lly resolving lysosomes by 2-IM could enable decoding the mechanistic underpinnings of lysosomal dise

267 proteins and small molecules is paramount in decoding the molecular basis of gene function and design

268 Decoding the mutational processes by examining their uni

269 ll-specific neuropharmacology strategies for decoding the nervous system with molecular and circuit p

270 mechanisms, we propose two analyses, namely, decoding the passage of time from neural data and comput

271 Decoding the physiological meaning of these dynamic chan

272 Decoding the precise protein stoichiometry allows us to

273 ur findings provide a critical framework for decoding the role of p53 as a mediator of diverse develo

274 al information processing across saccades by decoding the spatial frequency of a stationary stimulus

275 amily and offers an important foundation for decoding the synthetic pathways of bioactive compounds i

276 Decoding the world from cortical activity is strongly af

277 s demonstrated by successful cross-condition decoding, the responses elicited by static and moving so

278 ull sequence coverage requested for reliable decoding, the structure of these polymers can be optimiz

279 Recent progress in decoding their biosynthetic pathway has facilitated stab

280 signals from various regulatory pathways and decoding them via phosphorylation of downstream protein

281 RNA availability, and therefore the relative decoding time of codons.

282 s to the slow timescale variations that make decoding time possible.

283 incorporating theta-phase information during decoding to account for theta-phase associated spiking r

284 ation of brain therapies that combine neural decoding to predict multiregional communication with neu

285 Finally, we use model-based decoding to show that the transition from linear to rota

286 , we used reaction times and EEG time-series decoding to test the hypothesis that the information flo

287 We also used offline decoding to understand the implications of this neural p

288 However, analyzing and decoding translation information from Ribo-seq data is n

289 erceptions, pain perception dynamics and its decoding using effective bio-markers, are still not full

290 n cortex, with single-lead and time-resolved decoding, using a wide range of temporal frequencies, to

291 Equally good decoding was achieved by distinguishing synchronous from

292 Alpha decoding was now only significant in the early (<200 ms)

293 e was an overlap of over 100 ms during which decoding was significant from both presaccadic and posts

294 No above-chance decoding was visible in the preresponse time window.

295 Using DNA barcoding and split-pool decoding, we created a large library of isogenic reporte

296 compensated for response sparsity, enabling decoding with high temporal precision (<100 ms).

297 iate pattern classification, and whole-brain decoding with L1 or L2 regularization-each have critical

298 Finally, we show how decoding with limited data can be improved with transfer

299 WFA) function argue for its specific role in decoding written language, other accounts propose a more

300 sistent with a role for ribosome dynamics in decoding, yet precisely how these mutations act has been