ライフサイエンスコーパス: decode

1 nitial perceptual decision (across-condition decoding).

2 of the task, and thus they can be accurately decoded.

3 in single-neuron selectivity and population decoding.

4 t does not enable behaviorally useful linear decoding.

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

6 al curves (FORC) to investigate quantitative decoding.

7 mean when we assert that neurons encode and decode?

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

9 ut that still allowed a linear classifier to decode a large number of other variables (high shatterin

10 Here, we decode a previously unknown E. coli metabolic pathway th

11 in a wide variety of organisms, and our work decodes a hitherto undescribed function of these classic

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

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

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

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

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

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

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

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

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

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

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

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

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

25 med other signals in information content and decoding accuracy.

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

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

28 Multivariate decoding algorithms and cortical source reconstruction p

29 ng calcium imaging in freely moving mice, we decoded an animal's position, direction of motion, and s

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

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

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

33 Encoding and decoding analyses suggested observational value coding i

34 Decoding analyses suggested that errors followed from a

35 Using decoding analysis in the poststimulus period between sen

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

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

38 ent field of bioelectronic medicine seeks to decode and modulate peripheral nervous system signals to

39 e DNA sequence of cis-regulatory elements is decoded and orchestrated on the genome scale to determin

40 this perceptual bias, a correlation between decoded and perceived direction already emerged before v

41 oral state, and that behavioral state can be decoded and predicted based on asymmetry, (2) even in th

42 erse pathogens - the chloroplast integrates, decodes and responds to environmental signals.

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

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

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

46 Neural decoding and neuromodulation technologies hold great pro

47 Multivariate decoding and source analyses showed that selecting the m

48 ts that is inexpensive, fast and reliable to decode, and usable in minimal resource environments to c

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

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

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

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

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

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

55 unological perspective and could possibly be decoded as damage-associated molecular patterns.

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

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

58 used Epi-Decoder in yeast to systematically decode, at one transcribed locus, the chromatin binding

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

60 brary optimization, degenerate codon design (DeCoDe), based on integer linear programming.

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

62 s could leverage mechanical relationships to decode both airspeed and direction.

63 Furthermore, on single trials we could decode both the conscious percept and the suppressed sti

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

65 ed CNS region in Drosophila larvae, and then decoded by a group of peptidergic neurons for executing

66 spatiotemporal redox commands which are then decoded by gelatin-encapsulated E. coli.

67 Here, we describe the HEDGES (Hash Encoded, Decoded by Greedy Exhaustive Search) error-correcting co

68 uses the timings of motor neuron discharges decoded by high-density surface electromyogram (HD-EMG)

69 hanges of soy drink during fermentation were decoded by means of direct immersion-stir bar sorptive e

70 to store binary information which is further decoded by MS/MS sequencing.

71 These transmissions are decoded by redox-responsive promoters which enable user-

72 nt between these two types of peptidomes are decoded by the topology and rates of kinetic proofreadin

73 six arginine codons (CGU, CGC, and CGA) are decoded by two Escherichia coli tRNA(Arg) isoacceptors.

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

75 design principle by which it is possible to decode calcium signals into specific changes in gene tra

76 an be used to explain how any CaM-binding TF decodes calcium signals to generate specific gene expres

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

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

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

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

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

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

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

84 rs trained on responses to color words could decode color from data obtained using colored stimuli, b

85 hear stress but the mechanisms by which they decode complex shear stress environments to regulate phy

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

87 , as does the capability of using the SBP to decode complicated behaviour.

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

89 ne learning classifiers were then trained to decode different tones from their underlying neural acti

90 ility of cells to "encode" and subsequently "decode" different environmental signals.

91 Recurrent neural networks first decoded directly recorded cortical activity into represe

92 cuit efficiently harvested ultrasonic power, decoded downlink data for the stimulation parameters and

93 yzed by these biological engines are hard to decode due to the absence of a scalable, metabolically r

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

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

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

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

98 ns-that the brain inherently adapts to being decoded, especially as a result of cognitive processes r

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

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

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

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

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

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

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

106 A decade after speech was first decoded from human brain signals, accuracy and speed rem

107 Afferent grip-intensity levels are also decoded from M1, enabling grip reanimation regulated by

108 t identity (is the odorant rewarded?) can be decoded from peak PRP in animals proficient in odorant d

109 mounting, and the type of mounting could be decoded from population activity in either region.

110 Walk-and-reach targets could be decoded from premotor and parietal but not motor cortica

111 clarity and comprehension can be accurately decoded from relatively short segments of EEG recordings

112 Spoken words and syllables could be decoded from single trials, demonstrating the potential

113 tivity related to individual memories can be decoded from sleep EEG, providing an effective indicator

114 ctile and artificial sensory information are decoded from the brain of an "encoder" rat, transformed

115 ate that subperceptual neural signals can be decoded from the cortex and transformed into conscious p

116 es, and the identity of the odorant could be decoded from the differential response.

117 Nucleotide modification status can be decoded from the Oxford Nanopore Technologies nanopore-s

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

119 Here, we used real-time decoded functional MRI responses from the insula cortex

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

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

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

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

124 gration of these emerging technologies could decode genetic risk into medically actionable informatio

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

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

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

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

129 Crucially, a classifier trained to decode high versus low confidence predicted information-

130 Thus, decoding how OPCs and myelinating oligodendrocytes integ

131 Population decoding identified differential contributions of amygda

132 egar fly Drosophila melanogaster, geosmin is decoded in a remarkably precise fashion and induces aver

133 s and sound source locations can be reliably decoded in the human planum temporale (hPT) and that the

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

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

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

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

138 By decoding individual episode elements, we found that tria

139 band delta-theta (1-8 Hz) component robustly decoded information about both seen and attended categor

140 cal images has rendered a large amount of un-decoded information into usage in clinical research.

141 IGNIFICANCE STATEMENT Our brain continuously decodes information detected by multiple sensory systems

142 e egg chemoattractant concentration field is decoded into intracellular Ca(2+) concentration ([Ca(2+)

143 Moreover, DeCoDe is, to our knowledge, the first DC design algorit

144 Genetic decoding is surprisingly heterogeneous because multiple

145 Decoding is thought to be governed by a conformational t

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

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

148 into the yeast genome, making it possible to decode ligand specificity by profiling mixtures of GPCR-

149 to how cellular PI3K signaling is encoded or decoded may open new avenues for rational pharmacologica

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

151 assimilation of all biomedical knowledge to decode mechanisms of pathogenesis.

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

153 the vERPs was assessed through multivariate decoding methods.

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

155 for methods that allow to interpret trained decoding models.

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

157 cells do not properly interact or improperly decode molecular messages, disease ensues.

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

159 At each moment in time, our algorithm decodes movement intent for each available DOF into one

160 Ribosomes accurately decode mRNA by proofreading each aminoacyl-tRNA that is

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

162 e perform a novel causal network analysis to decode multiregional communication in the primate mood p

163 beta amplitude profiles can more accurately decode muscle activity when they conform to the natural

164 networks had a higher capacity to encode and decode natural images, and this was accompanied by the e

165 Here, we show that we can decode natural sounds from activity patterns in early "v

166 Decoding network excitability from neural activity at mo

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

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

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

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

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

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

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

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

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

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

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

178 Decoding of manual articulatory features revealed a clea

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

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

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

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

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

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

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

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

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

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

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

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

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

192 allowed for the time since image onset to be decoded on the scale of seconds.

193 First, decoded outcome representations have a temporal structur

194 obtained using simpler local motion stimuli decoded over longer timescales.

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

196 A Determination of Cause of Death (DeCoDe) panel composed of experts from a local CHAMPS si

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

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

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

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

201 Decoding performance showed that spatial frequency infor

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

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

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

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

206 suming independent noise severely diminishes decoding performance.

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

208 t with predictions of a model that optimally decodes population responses to produce behavior.SIGNIFI

209 t spatial position; a linear classifier also decoded position.

210 pected distractor features could not only be decoded pre-stimulus, but their representation differed

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

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

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

214 ement a more scalable and simplified optical decoding process.

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

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

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

218 ensional sensory stimulus to low-dimensional decoded representation.

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

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

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

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

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

224 DeCoDe significantly outperforms state-of-the-art DC opt

225 always observed or imagined forces) could be decoded significantly above chance, thereby potentially

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

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

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

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

230 ted with a positive ORP and could be used to decode social decisions.

231 However, previous attempts to decode speech directly from the human brain typically co

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

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

234 res of natural signals, used by the brain to decode stimuli and perceive them as sensory objects.

235 lustrate how downstream circuits can jointly decode stimulus features and their uncertainty from sens

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

237 omes (reward, loss), and then apply these to decode such patterns during deliberation.

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

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

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

241 However, multivariate analyses reliably decoded taste quality within the bilateral mid-insula as

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

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

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

245 CIPKs) of Arabidopsis (Arabidopsis thaliana) decode the calcium signals elicited by environmental inp

246 These studies have begun to decode the chemical logic that enables opioids to specif

247 Here, we decode the compact 73.8-megabase genome of Dimorphilus g

248 tations, we used inverted encoding models to decode the direction represented in early sensory signal

249 Here we show how to decode the electrocorticogram with high accuracy and at

250 gneto-encephalography to localize, track and decode the feedforward and recurrent processes of readin

251 massively parallel sequencing technology to decode the genomes and transcriptomes of BTICs and xenog

252 ss-to-charge ratios of measured particles to decode the identities and quantities of molecules in a s

253 e searchlight analyses were able to reliably decode the identity of distinct tastes within those mid-

254 DNA-binding proteins decode the modification status of specific genomic regio

255 nscription factors are minimally required to decode the taxonomical hierarchy of hypothalamic neurons

256 significantly improve data analysis and help decode the underlying APA dynamics.

257 IIb/VIIIa delay-period activation accurately decoded the direction of the remembered stimulus, as did

258 he direction of visual motion, significantly decoded the gaze direction in static images depicting a

259 We decoded the likelihood function from the trial-to-trial

260 A single skin sensor decodes the complex motion of five finger motions in rea

261 des digital information to DNA sequences and decodes the information back from DNA to a digital file.

262 lead identification strategy, Inforna, which decodes the three-dimensional (3D) conformation of RNA m

263 ith the Forward-Backward algorithm and (iii) decodes the trained model with the Viterbi algorithm to

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

265 Decoding the composition of the human immune system is n

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

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

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

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

270 Decoding the mutational processes by examining their uni

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

272 Decoding the physiological meaning of these dynamic chan

273 Decoding the precise protein stoichiometry allows us to

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

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

276 Decoding the world from cortical activity is strongly af

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

278 (TEs) classification is an essential step to decode their roles in genome evolution.

279 t has been difficult to rapidly and reliably decode them in an assembly.

280 into an abstract representation, and then to decode this representation, word by word, into an Englis

281 t the bone morphogenetic protein gradient is decoded through frequency modulation encoded by enhancer

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

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

284 We anticipate DeCoDe to be broadly useful for a variety of library gen

285 ocal subthalamic activity may potentially be decoded to enable effector selection, in addition to for

286 Specific calcium signatures are decoded to generate correct gene expression responses an

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

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

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

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

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

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 gates weak nociceptive encodings from being decoded, whereas escalated amplification through the rec

297 Time can be decoded with high precision in tasks where timing inform

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

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

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