ライフサイエンスコーパス: computation

1 inaccurate domain composition and abundance computation.

2 omising candidate for beyond-CMOS wave-based computation.

3 tures resolved by experiment or predicted by computation.

4 tween linguistic representation and cortical computation.

5 cell inhibition lead to general features of computation.

6 ure matching function for a broadly relevant computation.

7 ynaptic integration is crucial for dendritic computation.

8 ich provide limited information about neural computation.

9 ots provide a promising platform for quantum computation.

10 vel of noise and how it impacts a particular computation.

11 ng more efficient and error-tolerant quantum computation.

12 inent model system for exploring this neural computation.

13 and by randomized schemes for convex volume computation.

14 e over milliseconds, are the basis of neural computation.

15 tuations and it should be considered for SSR computation.

16 temporal ordering of different phases of the computation.

17 ned using spectroscopy, crystallography, and computation.

18 he interactions between genes, circuits, and computation.

19 xtensions (SGX) and hardware for trustworthy computation.

20 privacy through the use of secure multiparty computation.

21 f functions from mechanical motion to simple computation.

22 ompare favorably with the observed number of computations.

23 aptation, gain control and many other neural computations.

24 be the neural mechanisms underlying neuronal computations.

25 they should be also involved in more general computations.

26 -B-C-O obtained by density functional theory computations.

27 could contribute to many different cortical computations.

28 ent frequency bands index distinct canonical computations.

29 buted Graphic Processing Unit (GPU) parallel computations.

30 ing can potentially support long and complex computations.

31 ol of choice for understanding single neuron computations.

32 aptic signaling, enabling prolonged synaptic computations.

33 acid sequences, that can be used to perform computations.

34 t use heat instead of electricity to perform computations.

35 nd that likely reflects different underlying computations.

36 ion and dispersive density functional theory computations.

37 g feedback excitation and actively engage in computations.

38 ration of multimeric cluster speciation from computations.

39 neural characteristics and population-level computations.

40 ulatory resources or to implement biological computations.

41 ar modeling (MM) and molecular dynamics (MD) computations.

42 equency bursts play distinct roles in neural computations.

43 with a choice among robust engines for these computations.

44 types possess distinct functions in cortical computations [5-7] and likely distinct capacities to con

45 e operation of intrinsic self-motion-related computations [9-12].

46 pproach in addition to implementing parallel computation - a set up ideal for deployment on computing

47 use the BSMC within an Approximate Bayesian Computation (ABC) inference scheme, and suggest that par

48 son of the time-resolved IR spectra with DFT computations allowed to unambiguously identify the struc

49 ide an efficient Gibbs sampler for posterior computation along with simple procedures for inference,

50 mable gate array for strictly hardware-based computation and algorithm optimization.

51 mise for enabling next-generation high speed computation and communication systems.

52 ural activity play a critical role in neural computation and communication.

53 Economic choice behavior entails the computation and comparison of subjective values.

54 TELLS2 is taking some 'shortcuts' during the computation and computing the gene tree probability appr

55 nding goal of a tight feedback cycle between computation and experiment and has the potential to tran

56 iew aims to emphasize the connection between computation and experiment and to highlight the contribu

57 these methods rarely bridge the gap between computation and experiment in a quantitative manner, and

58 me opportunities where the interplay between computation and experiment may contribute further to the

59 dy establishes a modeling approach combining computation and experiments to evaluate the kinetics of

60 n TMLE and 2 common estimation approaches (G-computation and inverse probability weighting) and prese

61 le platform for solid-state physics, quantum computation and nanotechnology.

62 vitro, which can profoundly influence neural computation and plasticity.

63 sting, thus making it flexibly available for computation and report (C1, consciousness in the first s

64 Using power envelope computation and visual inspection of power distribution

65 Java-based web application that enables the computation and visualization of probability map generat

66 by employing density functional theory (DFT) computations and devise an alternative approach resultin

67 structural model for hDAT dimer suggested by computations and experiments differed from the dimeric s

68 as been used for studying intrinsic cortical computations and for understanding how the brain regulat

69 Large-scale density functional theory computations and long-time molecular dynamics simulation

70 ent grows in at >/=2 x 10(5) s(-1); however, computations and reactivity data suggest that beta-fragm

71 Individual computations and social interactions underlying collecti

72 eficits and/or environmental insults, neural computations and the behaviors that rely on them are alt

73 and minimizing effort could involve the same computations and therefore rely on the same brain circui

74 al to studies of neural development, circuit computation, and behavior.

75 Single-crystal, molecular orbital computations, and optical/electrochemical data indicate

76 Mechanistic details were elucidated by DFT computations, and the N-centered radical derived from th

77 ematical models with an approximate Bayesian computation approach can be used to assign the mechanist

78 t global range using an Approximate Bayesian Computation approach.

79 Computations are consistent with an open-shell triplet d

80 In this work, first-principles computations are employed to design and characterize a n

81 l of neuroscience has been to understand how computations are implemented across large-scale brain ne

82 al and neural indices of mentalizing-related computations, as well as functional connectivity of the

83 t the same pattern separation and completion computations ascribed to the hippocampal dentate gyrus a

84 uted data, the often prohibitively expensive computations associated with high accuracy simulations o

85 ession may arise from efficient sensorimotor computations, assuming that perception and control are f

86 ith previous density-functional theory (DFT) computation at 0 K.

87 and spiders, despite the absence of cortical computation available to primates.

88 rse probability of treatment weighting and g-computation based on iterative conditional expectations.

89 n, open up a path to fast, parallel, on-chip computation based on networks of oscillators.

90 itiating an approach to reversible classical computation based on state-of-the-art implementations of

91 Computations based on an evolutionary algorithm for crys

92 To date, systematic and comprehensive computation-based approaches to identify and validate dr

93 Computation-based drug-repurposing/repositioning approac

94 es could play a significant role in cortical computations, but how synapses of functionally defined c

95 approaches that assumed a single continuous computation by individuals and simple metric or topologi

96 Neurons perform computations by integrating excitatory and inhibitory sy

97 al science of unconscious (C0) and conscious computations (C1 and C2) and outline how they may inspir

98 mpile into discrete gate sets, the necessary computations can be performed in reasonable time on smal

99 The combination of quantum mechanical computations, comparative experiments with a fluorocarbo

100 ted for characterizing differences in neural computations; computational theories of vision are well

101 is suborganized according to the underlying computation, consistent with what we know about the anat

102 solution becoming again well behaved and the computations continuing normally.

103 systems thinking, high-dimensional data and computation - defines systems biology, typically accompa

104 content areas) and input specific (shifting computations depending on the type of input and goal of

105 e insulating state.The development of future computation devices will be aided by a better understand

106 which allows an extremely efficient parallel computation due to the small size of each individual blo

107 es revealed that attention biased both value computation during choice and value update during learni

108 s, have been proposed as a model of cortical computation during cognitive tasks.

109 ntages of rapid reconstruction without heavy computation during post-processing.

110 This requires improvements in computation efficiency, both in terms of speed and use o

111 -level representations of object identity, a computation essential to human visual expertise.

112 Computation explains why Fe2+ can be a more potent cofac

113 We propose that these probabilistic computations function by a message-passing algorithm ope

114 Here, we describe a structure-based, computation-guided predictive method for reversibly cont

115 Advances in computation have been enabling many recent advances in b

116 sing (19)F NMR and density functional theory computations have elucidated a reaction profile and allo

117 ples of how local activity influences global computation, i.e., describing the propagation of informa

118 echanistic explanation of a behavior-related computation implemented by the thalamocortical circuit.

119 rovides highly parallel and selective neural computation in a functionally important time range.

120 tem, cells of the same type perform the same computation in different places of the visual field.

121 nded to study social dynamics and collective computation in general settings.

122 at have been inspired by the study of neural computation in humans and other animals.

123 enables execution of sophisticated cellular computation in mammalian cells, with applications in cel

124 Interneurons are important for computation in the brain, in particular, in the informat

125 tance to understand signal flow and cellular computation in this neuron.

126 sed to test hypotheses about abnormal neural computations in autism, with an emphasis on hypotheses r

127 can be applied with fMRI to decipher neural computations in millisecond resolution in any part of th

128 sks have revealed neural correlates of these computations in multiple brain areas during movement pre

129 Analysing computations in neural circuits often uses simplified mo

130 for SM can reveal fundamental principles of computations in sensory cortices, from mouse to human.

131 d delineate a pathway relaying social memory computations in the anterior hippocampus to the posterio

132 wo different types of information-processing computations in the brain: the selection of information

133 the life-span trajectory of this key visual computation, in a series of experiments, we compared the

134 ing a deeper understanding of stem cell fate computation, in order to influence experimental efforts,

135 ficient synaptic circuit model for direction computations, in which "silent" NMDA receptors play crit

136 tical direction selective cells perform this computation independently.

137 In addition, computations indicate that the amine groups shift their

138 ported by mass spectrometry experiments, DFT computations indicate that the lithium amide of a 3-amin

139 Computations indicate that, despite differences in plana

140 idimensional small-curvature tunneling (SCT) computations indicate that, under cryogenic conditions,

141 Perhaps reflecting the importance of this computation, infants have some sensitivity to 3D structu

142 s provide a causal demonstration that neural computations instantiated in the rTPJ are neurobiologica

143 It omits computation-intense feature-based classification and emp

144 es a unique avenue to combine experiment and computation into integrative models of biomolecular stru

145 The computations involve a dynamical loop between the olfact

146 acy and without any awareness of the complex computations involved.

147 Yet, it is rarely understood what computation is being performed, or how much excitation o

148 Within our approach the solution of the computation is encoded in the ground state of the vertex

149 et neuron and (2) the resultant multisensory computation is modified in shape and timing by a delayed

150 Moreover, only a small amount of additional computation is required by our method, when small change

151 ites are exploited for behaviorally relevant computations is a fundamental challenge in neuroscience.

152 urons in the larval zebrafish relates to the computations it performs.

153 rst sense), and the self-monitoring of those computations, leading to a subjective sense of certainty

154 establishing universal principles of retinal computation like parallel processing or motion anticipat

155 a family of approaches by which model-based computation may be built upon a core of TD learning.

156 We describe a semiautomatic computation method based on segmentation of bones in CT

157 rms other existing topology-based similarity computation methods, (ii) the performance is better for

158 ns of the SSN in MT, suggesting that the SSN computations might be a generic feature of sensory corte

159 erization techniques as well as multiphysics computation models.

160 by time-dependent density functional theory computations.N-heterocyclic carbenes (NHCs) have been ap

161 neuronal substrates contributing to the key computations necessary for the function of these differe

162 e sensory input provides information for the computation of a novel distance cue, which allows for a

163 er being consistent with predictive semantic computation of alternatives to the negated expected conc

164 rated in ventral striatum, consistent with a computation of an overall net benefit of a stimulus.

165 and its reduction to simple rate equations; computation of binding rate constants; quantitative dete

166 balance analysis method that allows for the computation of dynamic intracellular metabolic changes a

167 The resulting framework facilitates computation of exact figures for the statistical signifi

168 Push-pull is a canonical computation of excitatory cortical circuits.

169 accurate mesoscopic simulations, facilitate computation of expensive properties, and enable the deve

170 or interactive visualization, retrieval, and computation of functional similarity and associations of

171 stigated how landmarks influence the brain's computation of head direction and found that in a bidire

172 the null-hypothesis, which avoids the costly computation of inversions.

173 Rather than focusing on massive computation of many different examples of a single situa

174 This allows for computation of minimal absent words on far bigger data s

175 group is particularly interested in cellular computation of multisensory integration.

176 study was to evaluate parametric methods for computation of parametric Ki images by comparison to vol

177 s fuse crystal-structure prediction with the computation of physical properties to allow researchers

178 optical pulse, which are traced with simple computation of ray-pulse matrix.

179 minergic RL system, interfering with its key computation of reward prediction errors.

180 cient parallelization of Swellix enables the computation of sequences as long as 418 nucleotides with

181 patial-searching algorithm to accelerate the computation of short-range pairwise interactions in an e

182 hibitory circuits play a crucial role in the computation of SM.

183 a reliable fully first-principles method for computation of spectra and can distinguish the influence

184 ionally, we show that our new method for the computation of the Bayesian prior on node ages reduces t

185 The procedure is based on the computation of the Brouwer degree, and it creates a mult

186 The SDP algorithm allows computation of the complex transmission matrix of the sy

187 Alas, an exact computation of the entanglement dynamics was available s

188 ethod based explanations, avoiding expensive computation of the inverse kinematics and the point-to-p

189 -D) is emerging as a powerful method for the computation of the multidimensional free-energy surface

190 We have performed a very accurate computation of the nonequilibrium fluctuation-dissipatio

191 agnetic resonance imaging, respectively, for computation of time-resolved ejection-phase myocardial w

192 Computation of visual features depends on photoreceptor

193 pes hippocampal representations and enhances computations of pattern separation to subsequent present

194 Ab initio linear response computations of the dielectric function allow one to cal

195 We capture the encoding and readout computations of the network in simple analytical form an

196 Quantum chemical computations of the solid state at the HSE-3c level of t

197 d on deep learning has been proposed for TKV computation on computed tomography (CT) dataset of ADPKD

198 node ages reduces the running time for this computation on the 349 taxa dataset by 99%.

199 of kinetic experiments and quantum chemical computations on a series of platinum-promoted polycycliz

200 perimental tests of predictions derived from computations on gas-phase reactivity of carbocations.

201 Mappings of classical computation onto statistical mechanics models have led t

202 Here we map universal reversible classical computations onto a planar vertex model that exhibits no

203 ies, such as auxetics, using high-throughput computations, open databases, and efficient search algor

204 These computations operate on the relative levels of different

205 , PRINCESS performs a secure and distributed computation over encrypted data, fulfilling institutiona

206 able to explain local and non-local network computations over space and time.

207 esentation could arise due to differences in computations performed by dorsal and ventral CA1 neurons

208 l community structure, and their betweenness computation possesses rather high complexity.

209 However, computations predict that the charge distribution of NO3

210 hanisms by which neural circuits perform the computations prescribed by model-based RL remain largely

211 conformational transitions predicted by the computations provide an experimental route to test the g

212 Furthermore, approximate Bayesian computation provides a robust method for visualizing unc

213 Computations quantitatively reproduce the KIEs in a Diel

214 SpartaABC implements an approximate-Bayesian-computation rejection algorithm to infer indel parameter

215 e mechanisms that link reward history to OFC computations remain obscure.

216 d, or how much excitation or inhibition this computation requires.

217 an directly process analog signals and store computation results without power, representing a promis

218 Computations reveal donor-acceptor orbital interactions

219 Computations reveal the origins of the outstanding stere

220 Time-dependent density functional theory computations revealed different light-induced ionization

221 DFT(B3LYP-D3) computations revealed that increased product selectivity

222 in the space-time volume that abstracts the computation's required resources.

223 heir classical counterparts in the fields of computation, security and sensing.

224 QM/MM computations show that it involves coordination of the s

225 anscript to co-localize all circuit sensing, computation, signal transduction, and output elements in

226 As a result, the computation speed of a multi-layer AMR case was very clo

227 Warping, allowing several-fold increases in computation speed.

228 xciting new landscape of questions about the computations, structural connections, time course, devel

229 ifferences in sample size during effect size computation, studies were weighted according to their in

230 The computations suggest BiOI to be tolerant to antisite and

231 Furthermore, density functional theory based computations suggest that each of these supramolecular c

232 Computations suggest that this remarkable balance in H-a

233 Approximate Bayesian computation suggested that the most likely speciation sc

234 By contrast, DFT computations support a direct pirouette mechanism for au

235 atients is a powerful means to determine the computations supported by specific brain regions and net

236 how cognitive aging affects the navigational computations supported by these systems.

237 Comparison with ab initio computations supports the assignment of the cluster netw

238 estimation use propensity score methods or G-computation, targeted maximum likelihood estimation (TML

239 ht the dorsoventral differences in dendritic computation that could account for the dorsoventral diff

240 tex's activity is consistent with a Bayesian computation that integrates social information that diff

241 resent a theoretical model of stem cell fate computation that is based on Halley and Winkler's Branch

242 Here we present evidence for a neuronal computation that maximizes the signal-to-noise power rat

243 symmetrical complexes, based on evolutionary computation that treats every available experimental inp

244 d provides a simple and interpretable set of computations that can be used to characterize neural res

245 g information (i.e., pattern completion) and computations that enable encoding of highly similar even

246 ippocampus (HC) keeps a fine balance between computations that extract commonalities of incoming info

247 an be incorporated in flexible cost-benefits computations that improve foraging efficiency.

248 ecutive rewarded episodes are needed for OFC computations that integrate reward history into expected

249 are investigated by NMR spectroscopy and DFT computations that involve nuclear quantum effects.

250 d LIP and motivate inquiry into sensorimotor computations that may intervene between MT and LIP.

251 rrent machines are still mostly implementing computations that reflect unconscious processing (C0) in

252 Understanding the computations that take place in brain circuits requires

253 derstanding their operational regime and the computations that they perform.

254 ons, such as asymmetric connectivity, to the computations the populations perform.

255 The more we study this simple arithmetic computation, the knottier it appears to be, suggesting a

256 oordination of spatially segregated cortical computations, thereby constructing task-relevant functio

257 computer science to minimize basic models of computation through iterative partition refinements.

258 fitting the PSF with only a 2-3x increase in computation time as compared to Gaussian fitting.

259 o-localization of circuit elements decreases computation time from hours to minutes compared to circu

260 reate more complex models and require longer computation time, but they tend to perform better than g

261 prediction accuracy and dramatically reduced computation time, especially for longer binding sites.

262 bsampling provided a substantial decrease in computation time, reducing the time to fit the model by

263 he RT may be modulated by factors other than computation time.

264 rge GWAS data sets in a reasonable amount of computation time.

265 tion of the positions of hydrogen atoms, and computation to characterize the catalytic mechanism of t

266 erimental chemists, emphasizing the need for computation to predict experimental results in advance o

267 on network analysis and Approximate Bayesian Computation to quantify host shift and cospeciation rate

268 We used approximate Bayesian computation to test five different demographic scenarios

269 espect to a fixed structure and connect this computation to the mutual information of a sequence-stru

270 rely outsource a substantial fraction of the computation to the public cloud, while being highly comp

271 Furthermore, cells can select different computations to perform on the same ligand combination t

272 of clonal assays, combined with statistical computation, to quantify the yield of granulocytes, mono

273 server maximum difference of 3.5%, and their computation took only a few minutes.

274 ic heat pain paradigm, we investigated which computations underlie pain perception.

275 could occur without changing the underlying computations used to perform the action.

276 Previous work has implemented such computations using neural networks with hand-crafted and

277 unctional theory calculations, combined with computations using potential energy functions to identif

278 se organisms may perform particular neuronal computations using similar general principles.

279 le pathway for CO2 reduction revealed by DFT computation was CO2 -->*COOH-->*CO-->*COCO-->*COCH2 OH--

280 ark was always faster and in some situations computation was reduced to a hundredth of the time.

281 By analyzing optical spectra and by DFT computations we show that the HT properties are independ

282 ptual differences with classical and quantum computation, we demonstrate how the inherent non-localit

283 nto brain areas responsible for sensorimotor computation, we used complex categorization-response tas

284 Here, using structure-based computations, we examined the possible mechanisms of hDA

285 l the most important aspects of these neural computations, we must study large-scale activity pattern

286 To understand these computations, we need to analyze how information is repr

287 Using computations, we show that discrepant inferences are nei

288 the use of corollary discharge in cerebellar computations, we studied it in mice of both sexes.

289 kage disequilibrium and approximate Bayesian computation were approximately 50 and 30, respectively,

290 Computations were replicated independently by 2 coauthor

291 The experimental observations add weight to computations which have suggested that strong, but short

292 ing femtojoule and sub-femtojoule electronic computation, which can be attractive for applications in

293 d BugMat use a variation model to accelerate computation, while FindNeighbour2 uses reference-based c

294 a temporary transformation which accelerates computations with no loss of information.

295 ng its encrypted hologram (through numerical computation) with the encrypted hologram of a pinhole im

296 r performance in reading, spelling, and math computation, with increased mean (95% CI) scores of 8.0

297 in SACs, but does not affect local dendritic computation within individual sectors.

298 ation of perceived directional heading, this computation would need to be dynamically updated when th

299 n participants while still ensuring that the computations would be tractable and capable of deliverin

300 neralized magnitude system based on Bayesian computations would minimally necessitate multiple priors