ライフサイエンスコーパス: decode

1 tions may contribute importantly to accurate decoding.

2 rating a previously unknown aspect of Bicoid decoding.

3 tions can have distinguishable influences on decoding.

4 mingled and each set can support orientation decoding.

5 cate pleiotropic mechanisms of action beyond decoding.

6 ecoding constrains less reliable lower-level decoding.

7 ity does not substantially drive orientation decoding.

8 NAs that elucidate the mechanism of accurate decoding.

9 ghts into the dynamics of high-fidelity tRNA decoding.

10 sed to explain the observed features of UAGN decoding.

11 on genetic code expansion through quadruplet decoding.

12 ase modulates rapid and accurate information decoding.

13 to the stimulus edges underlies orientation decoding.

14 vity is likely not necessary for orientation decoding.

15 University (984 cases and 970 controls) and deCODE (1,319 cases and 26,380 controls), and the overal

16 University (984 cases and 970 controls) and deCODE (1,319 cases and 26,380 controls).

17 rotein kinase signaling changed how synapses decode a pattern of stimuli, a disease-related Ras allel

18 mbinant hybrid ribosomes carrying eukaryotic decoding A site cassettes.

19 Finally, the saccade target could be decoded above chance even when it had been removed durin

20 t computational work, in which responses are decoded according to the vestibular preferences of multi

21 Furthermore, we detected slightly different decoding accuracies, depending on the task's visual cond

22 d not find any image features that predicted decoding accuracy differences between both interventions

23 ha oscillations (8-10 Hz), while the highest decoding accuracy for the apparent motion task (ISI = 12

24 The highest decoding accuracy for the two-flash fusion task (ISI = 4

25 tes can be decoded from activity in OFC, and decoding accuracy is related to task performance and the

26 l cortex, but there was no difference in the decoding accuracy of task-related information between sw

27 of high-density fiber electrical activity to decode accurate alpha-motor neuron discharges across fiv

28 stimulus discriminability and ensures robust decoding across membrane states in a regime of highly co

29 le-shot error correction to develop a simple decoding algorithm for the gauge color code, and we nume

30 Decoding analyses indicate that cortical odor representa

31 Moreover, multivariate decoding analyses revealed that amisulpride changed the

32 Source and decoding analyses revealed that perceptual maintenance r

33 CaM/CMLs decode and relay information encrypted by the second mes

34 y, our studies clarify how CENP-N and CENP-C decode and stabilize the non-canonical CENP-A nucleosome

35 Here, we use multivariate decoding and analyses of spontaneous correlations to sho

36 ensure that the mRNA is held tightly during decoding and essential for the helicase activity at the

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

38 protein synthesis including aminoacylation, decoding and translocation.

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

40 an assumption-free, whole-brain searchlight decoding approach, we identified for the first time regi

41 While the networks underlying this signal decoding are diverse, many are built around a common mot

42 processes of sensory encoding and perceptual decoding are matched and optimized based on identical as

43 derately miscoding, respectively, and it was decoded as an adenosine in both systems.

44 genomic features and their dominant roles in decoding AS patterns, highlighting the necessity of incl

45 anged during the saccade, the new target was decoded at a later time-point, 151 ms after saccade offs

46 te unnatural anticodons, and their efficient decoding at the ribosome to direct the site-specific inc

47 participation of the unnatural base pair in decoding at the ribosome.

48 Animal and tool TPWs were successfully decoded based on fMRI activity in spatially distinct sub

49 -analysis was then analyzed using functional decoding based on ~7500 fMRI experiments in the BrainMap

50 Consistently, the accuracy of decoding behavior from SPN ensemble patterns was directl

51 sion of three genes taking part in the fully decoded betalain biosynthetic pathway.

52 sent by an organism (sender) is detected and decoded by a receiver, who then must respond in such a w

53 ults demonstrate that the Ras/Erk pathway is decoded by both dynamic filters and logic gates to shape

54 our approach to dissect how Erk activity is decoded by immediate early genes (IEGs).

55 ndocytic pioneers Eps15/R are differentially decoded by other endocytic pioneers Fcho1/2 and AP-2.

56 tream of a 20-bp barcode is constructed, and decoded by paired-end sequencing.

57 odel was that the slow translation of codons decoded by rare tRNAs reduces efficiency.

58 nd topogenic signals that are recognized and decoded by the protein insertion and translocation machi

59 rsible conformations of a DNA nanoswitch and decoding by gel electrophoresis.

60 n B-like interacting protein kinases (CIPKs) decode calcium signals upon interaction with the calcium

61 CaMKII plays a critical role in decoding calcium (Ca(2+)) signals to initiate long-lasti

62 However, the mechanism for decoding calcium signatures is unknown.

63 The mechanism for decoding calcium signatures to control expression of pla

64 ally that finite temperature maximum entropy decoding can give slightly better bit-error-rates than t

65 ork of metabolism can serve as a platform to decode cancer metabolic plasticity and design cancer the

66 w protein densities were discovered near the decoding center and the peptidyl transferase center, res

67 the 30S subunit and aids the assembly of the decoding center but also binds the mature 30S subunit wi

68 tor exploits the plasticity of the ribosomal decoding center to differentially remodel ribosomal prot

69 inding to the canonical eukaryotic ribosomal decoding center.

70 from the RNAP active center to the ribosome decoding center.

71 915 (Psi1915), which lies near the ribosomal decoding center.

72 like pseudoknot I (PKI) of the IRES from the decoding center.

73 states of tRNA engagement with the ribosomal decoding center.

74 Decoding-center rearrangements are coupled with the step

75 uces conformational changes in the ribosomal decoding centre that are similar to those seen in other

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

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

78 RACIPE to be a powerful tool to predict and decode circuit design principles in an unbiased manner,

79 edictive encoding model of word semantics to decode conceptual information from neural activity in he

80 memory, and that more reliable higher-level decoding constrains less reliable lower-level decoding.

81 nucleobases, and the mechanisms of ribosomal decoding contributed to the position-dependent effects.

82 an artificial neural bypass technology that decodes cortical activity and emulates spinal cord CPG f

83 Here, we have demonstrated that MCs decode different activation stimuli into spatially and t

84 lished the spacing effect and led neurons to decode distinct stimulation patterns as massed stimulati

85 iquitin attachment to a substrate protein is decoded during mitosis.

86 ficiency is largely thought of as the sum of decoding efficiencies for individual codons.

87 RNA mutants with significantly improved UAGN decoding efficiency, which will augment the current effo

88 Previous decoding efforts have focused on classifying brain activ

89 ination was semi-automatically quantified by decoding electroencephalography responses to frequently

90 of the myoelectric prosthesis is enabled via decoded electromyography activity from reinnervated musc

91 We find that IEG transcription decodes Erk dynamics through a shared band-pass filterin

92 n analysis of electroencephalography data to decode face versus house processing directly after the s

93 Using this code, we could precisely decode faces from neural population responses and predic

94 Comparative analyses reveal that each decoding factor exploits the plasticity of the ribosomal

95 re selectively recognized by the appropriate decoding factorGTPase complex to ensure translational fi

96 tures of the mammalian ribosome engaged with decoding factorGTPase complexes representing intermediat

97 ry cortex of ferrets and found that: (1) the decoding filters of auditory neurons resemble the filter

98 n is less clear, and most models assume that decoding follows the same low- to high-level hierarchy o

99 encoding techniques, synthesis methods, and decoding for applications including bio-detection, imagi

100 ologies have shown the feasibility of neural decoding for both users' gait intent and continuous kine

101 his objective by introducing a probabilistic decoding framework based on a novel topic model-Generali

102 To attain maximal utility, a decoding framework must be open-ended, systematic, and c

103 We show that unobservable task states can be decoded from activity in OFC, and decoding accuracy is r

104 For example, orientation can be decoded from BOLD activation patterns in human V1, even

105 variability, odor identity can accurately be decoded from ensembles of co-active neurons that are dis

106 The orientation of a visual grating can be decoded from human primary visual cortex (V1) using func

107 Second, global information could be decoded from magneto-encephalographic data during early

108 sence of these categories within a scene was decoded from MEG sensor patterns by training linear clas

109 tion suppression," but expected stimuli were decoded from multivariate population signals with greate

110 esenting grip configurations can be reliably decoded from neural data acquired from area V6A of the m

111 ometry, and thus how well any feature can be decoded from population activity.

112 tegration vs. segregation) could be reliably decoded from the phase of prestimulus oscillations in ri

113 face morphs between two identities could be decoded from the prefrontal cortex and the ventral tempo

114 ion transmission across cortical states i.e. decoding from different states is less state dependent i

115 d controversy over the source of orientation decoding from fMRI responses in human V1.

116 that noise correlations enhance multivariate decoding from heterogeneous neural populations.

117 edge-related activity" underlies orientation decoding from patterns of BOLD response in human V1.

118 Decoding from unselected populations enables a read-out

119 However, decoding functional RNA-regulatory features remains a li

120 S) has become a widely accepted strategy for decoding genotype-phenotype associations in many species

121 asal ganglia control signal for force and to decode gripping force based on local field potential (LF

122 nly important in monitoring, estimating, and decoding H2O2 relevant physiological pathways but also v

123 We probed decoding hierarchy by comparing absolute judgments of si

124 der how working-memory properties may affect decoding hierarchy.

125 ity of every neuron in a behaving animal and decode how it relates to behavior.

126 central goal of cognitive neuroscience is to decode human brain activity-that is, to infer mental pro

127 rchlight multivariate pattern analysis could decode humans and nonhumans across pedalism in the left

128 arity information and face identity could be decoded in an overlapping set of areas in the core and e

129 found that global motion direction could be decoded in human V2 and, particularly, in V3.

130 The sounds also could be decoded in primary visual and primary auditory cortex, b

131 ations for understanding neural encoding and decoding in a broad class of fundamental sensory-percept

132 ned, we examined shape-based object category decoding in occipitotemporal and parietal regions.

133 We addressed the dynamics of auditory decoding in speech comprehension by challenging syllable

134 s, but produces a representation that can be decoded independently, without the need for a reference.

135 Decoding individual trials of adaptation-affected activi

136 rior parietal cortex are valid for correctly decoding information relevant for grasping.

137 and without the need for complex time-gated decoding instrumentation.Luminescent materials that are

138 in human resting-state brain activity can be decoded into categories of experience delineating unique

139 is encoded into spectral phase jumps may be decoded into measurable spectral intensity spikes.

140 tion efficiency and codon use is that slower decoding is coupled to reduced mRNA stability.

141 ndent in the adaptive threshold case, if the decoding is performed in reference to the timing of the

142 from a theory combining optimal encoding and decoding, is well supported by a wide range of reported

143 emporal patterning of the calcium signal and decoding it by multiple, tunable, and often strategicall

144 We could decode low- and high-level rules from local patterns of

145 a, we derived and validated a characteristic decoding map that relates morphogen input to the positio

146 nsor, and FHSS pattern analysis based sensor decoding may help establishing cost-effective, energy-ef

147 of the underlying dynamics, and instead the decoding mechanism acts as a simple low-pass filter.

148 s approach can be applied to identifying the decoding mechanisms of other plant calcium signalling pa

149 ngstanding puzzle about extracellular signal decoding mechanisms.

150 ordinal judgment was used to retrospectively decode memory representations of absolute orientations,

151 Notably, the receptive-field-free decoding method was found to be well-tuned for hippocamp

152 Multivariate decoding methods, such as multivoxel pattern analysis (M

153 ing model of similar complexity; and (3) the decoding model accounts for the accuracy with which the

154 poorly reflects selectivity of neurons, the decoding model can account for the strong nonlinearities

155 rom the statistics of speech sounds; (2) the decoding model captures the dynamics of responses better

156 l networks, we then assess how easy it is to decode more general information about stimulus shape fro

157 Neural interfaces are designed to decode motor intent and evoke sensory precepts in ampute

158 deep brain LFPs could potentially be used to decode movement parameters related to force and movement

159 ex have led to the development of methods of decoding movement information to restore coordinated arm

160 neuroprosthetics, allowing a single array to decode movements of a large extent of the body.

161 Ribosomes decode mRNA codons by selecting cognate aminoacyl-tRNAs

162 Transfer RNA (tRNA) decodes mRNA codons when aminoacylated (charged) with an

163 shes the life-sustaining tasks of faithfully decoding mRNA and catalyzing peptide bond formation at t

164 complex, 2.5 MDa nanomachine responsible for decoding mRNA and synthesizing proteins.

165 ge affects the efficiency/stringency of mRNA decoding, mRNA biogenesis/stability, and protein secreti

166 predicted remembering from forgetting, then decoded neural activity in later sessions in which we ap

167 r interfaces function via an algorithm which decodes neural activity of the user into movements of an

168 tion to people with neurological deficits by decoding neural activity into control signals for guidin

169 functional magnetic resonance imaging (fMRI) decoded neurofeedback (DecNef) method, we found that dif

170 rrors and response variability as results of decoding noisy neural activity, and can account for the

171 cleosome interaction module enables KDM2A to decode nucleosomal H3K9me3 modification in addition to C

172 ain and validate a Bayes classifier used for decoding objects and grip types.

173 We show that this problem can be resolved by decoding odor identity from a subpopulation of concentra

174 res that compromise ribosome fidelity during decoding of a heptanucleotide 'slippery' sequence.

175 can be estimated reasonably well by a linear decoding of a population of MT neurons with response gai

176 We discuss an example in which the decoding of a turbo code, which has been demonstrated to

177 Decoding of calcium signatures occurs via nonlinear inte

178 Our results suggest that optimal linear decoding of early sensory information is not a general d

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

180 r and nonlinear components contribute to the decoding of EMG of major muscles used in the task.

181 We propose that the brain prioritizes decoding of higher-level features because they are more

182 Our decoding of histone methylarginine at key genes supports

183 after stimulus onset, 100 ms later than peak decoding of intact objects.

184 ing, decisions about integrated percepts and decoding of integrated percepts are impaired in tandem,

185 In the present study, we used multivariate decoding of magneto-encephalography (MEG) data to track

186 terns in this visuomotor network enabled the decoding of manipulable versus non-manipulable object pi

187 dditional products occurs prominently in the decoding of mobile chromosomal element and viral genomes

188 Gene translation depends on accurate decoding of mRNA, the structural mechanism of which rema

189 t achieves interaction strength analysis and decoding of networks with nonlinear interactions by incl

190 ding may pave the way for further structural decoding of other 2D vdW superstructure systems with mor

191 ing with genetically encoded sensors enables decoding of regional activity and connectivity in anesth

192 This suggests that optimal linear decoding of sensory signals is not generally a good pred

193 bi and Viterbi A* are used for inference and decoding of sequences.

194 A major such program involves enhanced decoding of specific mRNAs that are depleted in terminal

195 represent a proof of concept study for basic decoding of speech imagery, and delineate a number of ke

196 In contrast, maximum likelihood decoding of stimulus location based on the statistics of

197 onset, multivariate pattern analysis (MVPA) decoding of task in occipital-parietal sources remained

198 synchronization and supported more accurate decoding of temporal sound features in the inferior coll

199 Further, AIS allowed decoding of the cued category on a trial-by-trial basis.

200 To determine this, decoding of the salicylic acid (SA)-mediated plant immun

201 Here, we describe results of IgG-epitome decoding of three proteins from high-risk (HR-) oncogeni

202 Similarly, superior IPS exhibited consistent decoding of VSTM content across all distractor manipulat

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

204 Encoding/decoding off-axis points with discrete orbital angular m

205 ction, transfer RNA (tRNA) charging and mRNA decoding on the ribosome.

206 of the categorization behavior were reliably decoded only in right LPFC.

207 that this information is needed to properly decode optimized information sent in parallel through te

208 In particular, a stimulus feature that is decoded (or explained away) by one neuron is not explain

209 e to incorporate these encoding changes, the decoding, or perception, of subsequent stimuli is biased

210 tion channel operating with coded inputs and decoded outputs.

211 ed above chance for almost 1 s, and the task-decoding pattern interacted with task outcome.

212 ) are main effectors of messenger RNA (mRNA) decoding, peptide-bond formation, and ribosome dynamics

213 put) allowed for comparable levels of object-decoding performance and that removing a large fraction

214 eptive fields in V1 and evaluate orientation decoding performance as a function of stimulus location

215 did not observe the expected second peak in decoding performance at the outer stimulus edge as predi

216 ion procedure demonstrated that near-maximum decoding performance could be achieved using a relativel

217 utcome prediction was based on the change of decoding performance from hypothermia to normothermia.

218 Specifically, decoding performance is enhanced when voxels with high v

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

220 ew proteins, and expand our knowledge of the decoding potential of the ribosome.

221 a programmable annealer for the information decoding problem which we simulate as a random Ising mod

222 Whether the decoding process is bounded by the capacity of theta rhy

223 The numerical nonlinear decoding process of CS shares strong connections with po

224 adapt to syllabic rate, but by an endogenous decoding process.

225 ilar to those seen in other protein-involved decoding processes.

226 Notably, the neural decoding properties, including its autocorrelation struc

227 input range for which the network is able to decode pulsatile dynamics.

228 Low-abundance tRNAs decode rare codons slowly, but it is unclear which genes

229 Together with previous studies on decoding reach trajectories from the medial posterior pa

230 e global-areal-map account, fMRI orientation decoding relies exclusively on fMRI voxels in V1 exhibit

231 erall perception, suggesting that perceptual decoding requires working memory, yet few models conside

232 nfection in the 21st century: new hints from decoding resolution mediators and mechanisms.

233 MEG decoding results revealed that scene-based facilitation

234 eveloped simple predictions to differentiate decoding schemes without needing measures of noise corre

235 eveloped simple predictions to differentiate decoding schemes, and found support for optimal linear r

236 of multisensory neurons may be exploited to decode self-motion and object motion from the population

237 To decode semantic representations of these TPWs, we used m

238 n particular, whether they are necessary for decoding sensory stimuli is unknown.

239 this "topography" of wiring is essential for decoding sensory stimuli.

240 fMRI decoding showed that the multivariate representation of

241 canning model of translation initiation, the decoding site and latch of the 40S subunit must open to

242 factors regulate mRNA accommodation into the decoding site have not yet been elucidated.

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

244 state of full accommodation of mRNA into the decoding site.

245 isition of letter-sound relationships (i.e., decoding skills) and the ability to visually recognize w

246 e better used to estimate the uncertainty of decoded stimulus properties.SIGNIFICANCE STATEMENT It is

247 e bacterial class I release factors (RFs) in decoding stop codons has evolved beyond a simple tripept

248 f early sensory information is not a general decoding strategy used by the brain.

249 Although topography is a useful initial decoding strategy, we suggest it may be replaced by bett

250 ne target position from EEG, we were able to decode target positions on the vertical midline, which c

251 The decoding techniques for each encoding technique are diff

252 coding techniques, synthesis strategies, and decoding techniques need to be considered.

253 gnetoencephalography (MEG) with multivariate decoding techniques to probe the representational conten

254 Using multivariate decoding techniques, we delineated three distinct proces

255 table giving task together with multivariate decoding techniques, we identified three distinct psycho

256 n mechanism in a neural circuit functions to decode temporally organized spiking.

257 troduced an integrative method, LogicTRN, to decode TF-TF interactions that form TF logics in regulat

258 However, the rules by which promoters decode the amount of active TF into target gene expressi

259 iginal DNA sample and were able to perfectly decode the data.

260 P-N uses charge and space complementarity to decode the L1 loop that is unique to CENP-A.

261 Our findings decode the major genetic mechanisms by which T. pallidum

262 urons, a machine-learning algorithm reliably decode the motion direction and determine whether it is

263 We applied machine-learning algorithms to decode the neuronal activity and control activation of t

264 scious access being impaired, the ability to decode the presence of integrated percepts remains intac

265 that sustained EEG activity could be used to decode the remembered orientation of a stimulus, even wh

266 e production of dozens of records per probe, decode the spatial arrangements of 7 unique probes in a

267 e same across the saccade, we could reliably decode the target 123 ms after saccade offset.

268 se STN LFP features as inputs can be used to decode the temporal profile of gripping force.

269 e perceptual mechanisms used to transmit and decode the visual information from emotional signals dif

270 r the fate of mATG8s and will be valuable in decoding the biological functions of the individual LC3/

271 de in identifying CD1-restricted T cells and decoding the diverse immunological functions of distinct

272 t study provides key insights for eventually decoding the earliest fossil record.

273 Decoding the effect of the electrical signals on the cel

274 However, decoding the functions of the millions of putative regul

275 periods in brain development is essential to decoding the long-term impact of widespread, poorly defi

276 roscience initiatives are making progress in decoding the neural nature of such feelings in animal br

277 support of an alternative approach, based on decoding the stimulus from the neural response.

278 y, how synapses integrate spaced stimuli and decode them into specific plastic changes remains elusiv

279 but rather by the time given to the brain to decode them.

280 the thousands of known protein structures, "decoding" them is challenging because of the complexity

281 New strategies are emerging to decode these combinatorial genetic interactions across a

282 Comprehensively decoding these regulatory mechanisms holds promise in ge

283 A complementary acidic surface on B55 decodes this signal, supporting a cooperative electrosta

284 ese genetic fluctuations, however, cannot be decoded through conventional label-free methods (e.g., p

285 ignal is picked up by a sniffer receiver and decoded through pattern analysis of the high dimensional

286 significant trial-by-trial relation between decoded times and the timing behavior of the monkeys.

287 that intracortically recorded signals can be decoded to extract information related to motion, allowi

288 How these features are decoded to produce perception is less clear, and most mo

289 Cross-linked reads originating from AAA-decoding tRNA(Lys)(UUU) were 10-fold enriched over its c

290 Body-machine interfaces (BMIs) decode upper-body motion for operating devices, such as

291 absence of noise, the spectrum can be fully decoded using a single acquisition of the output interfe

292 by challenging syllable tracking and speech decoding using comprehensible and incomprehensible time-

293 olution) and are further confirmed by direct decoding using phase model analysis.

294 All individual tumor growth curves were decoded via separate measurements of cell death and othe

295 Using single-trial decoding, we quantified the relation between prestimulus

296 oximate marginalization by linear population decoding, we tested the hypothesis that vestibular signa

297 ttention and working memory, we attempted to decode which of 16 orientations was being held in workin

298 discriminated better by humans and could be decoded with higher accuracy from brain activity pattern

299 but also off-axis points, can be encoded and decoded with OAM of light.

300 s olfactory-specific information that can be decoded within 110-518 ms of a sniff, and maximally with