ライフサイエンスコーパス: computation

1 with direct collocation to enable efficient computation.

2 verse expertise in analysis, statistics, and computation.

3 ng an easily accessible platform for unitary computation.

4 computability theory is irrelevant to human computation.

5 y affects the prospects of practical quantum computation.

6 suggesting that the BLA contributes to value computation.

7 ase in the C-C bond activation is studied by computation.

8 me is key to powerful quantum simulation and computation.

9 nt circuit motifs as a key element in neural computation.

10 e loss mechanisms in superconducting quantum computation.

11 s, fulfilling the requirements for dendritic computation.

12 s differences in the biophysics of dendritic computation.

13 g and novel subsampling strategies which aid computation.

14 ry-circuit motifs as a key element in neural computation.

15 88.2%) had interpretable CTA enabling CT-FFR computation.

16 opened up new ways of thinking about neural computation.

17 by a factor of N, the benchmark for parallel computation.

18 ng Majorana platform for topological quantum computation.

19 the brain for reliable and efficient neural computation.

20 onstrating a subadditive multisensory neural computation.

21 s fundamental to our understanding of neural computation.

22 e potential for wider application in quantum computation.

23 ivity as a key design principle for neuronal computation.

24 s IX and X) to understand their role in this computation.

25 ables single-bit random-access and in-memory computations.

26 en areas, potentially underlying distributed computations.

27 es may involve distinct underlying cognitive computations.

28 nct causes that can corrupt path integration computations.

29 en into account in future models of cortical computations.

30 tilayered and is involved in many high-level computations.

31 y is thought to enable both local and global computations.

32 nd here may affect a wide array of cognitive computations.

33 e necessity of recurrent processing in these computations.

34 neurons with the ability to perform complex computations.

35 ds has been investigated by means of CBS-QB3 computations.

36 implementation of accumulation-to-bound-like computations.

37 ds the solvation numbers consistent with DFT computations.

38 and how early adaptation affects subsequent computations.

39 in a wide variety of phenotypes by canonical computations.

40 aptively modulate the dynamics between these computations.

41 thought to be fundamental to perform complex computations.

42 One idea is that rules could simplify these computations.

43 described as a cascade of local feedforward computations.

44 y, single-crystal X-ray diffraction, and DFT computations.

45 types and their functional role in cortical computations.

46 enial cortex (RSC) plays a key role in these computations.

47 is a staple of quantum chemistry and physics computations.

48 oits relationships between different agents' computations.

49 cortex that may enable both local and global computations.

50 internal noise and deterministic suboptimal computations.

51 cell data that enables efficient large-scale computations.

52 menting these results with corresponding DFT computations.

53 at are well suited to execute the underlying computations.

54 xperiment, remarkable hydration behavior and computations.

55 r cingulate gyrus and the mSTS support these computations.

56 hoice difficulty and value of control as key computations.

57 sulting from enhanced reliance on model-free computations.

58 plementing fast and accurate musculoskeletal computations.

59 uits implement nonlinear representations and computations?

60 ation, allowing pattern completion and other computations(1-4).

61 eir relative acidities were characterized by computations, 1:1 binding equilibrium constants (K(1:1))

62 Our results hold promise for holonomic computation(21) and mechanical spintronics by allowing o

63 constraints, placing limits on the possible computations a given neural circuit can perform.

64 Using G-computation, a causal inference-based method, we then es

65 Andaman day gecko using Approximate Bayesian Computation (ABC) supports two possible scenarios but fa

66 s action and perception may support specific computations, abstracted from low-level sensorimotor ele

67 order processing centers, and not in retinal computations, account for variations in visual sensitivi

68 The computations also explain the catalyst ring size effect,

69 As an example of such computations, an internal model resolves a sensory ambig

70 stions, we propose a rigorous model of human computation and associated measures of complexity.

71 r sensing and actuating, and silicon ICs for computation and communication purposes.

72 ut other brain regions may contribute to the computation and comparison of economic values.

73 m proposed that economic choices rely on the computation and comparison of subjective values(1).

74 stem, and additional tools and utilities for computation and data collection.

75 olean logic gates, the foundation of current computation and digital information processing, are reac

76 ndividual resource limitations by augmenting computation and enabling distributed cognition.

77 ics methodologies, access to the appropriate computation and information technology infrastructure, a

78 These findings illustrate the value of computation and machine learning in guiding the experime

79 nfidence should originate from a statistical computation and predict confidence-guided behavior.

80 nics are not as efficient as silicon ICs for computation and signal communication.

81 Consequently, data analyses require the computation and storage of multiple metrics for a wide r

82 Via theoretical computation and time-resolved EPR spectroscopy, we confi

83 In addition to the energetic costs of neural computation and transmission, experimental evidence indi

84 ge, and bias-variance tradeoff of quantile g-computation and WQS regression and how these quantities

85 se simulations to examine whether quantile g-computation and WQS regression can accurately and precis

86 cal analysis with the results of agent-based computation and, making use of approximate Bayesian stat

87 homologous can nonetheless mediate different computations and behaviour.

88 In the present work, quantum mechanical computations and kinetic isotope effect experiments demo

89 dure that requires several rounds of quantum computations and measurements.

90 les and that they are supported by different computations and neural circuits.

91 anks to software design that combines tensor computations and parallel computing, (2) the implementat

92 The computations and processing strategies in birds and mamm

93 sychological constructs in terms of Bayesian computations and provides a generative testing ground fo

94 Computations and spectroscopic experiments suggest that

95 How does this balance shape neural computations and stimulus representations?

96 esults are convenient for gate-model quantum computations and the near-term quantum devices of the qu

97 serving the shape and thus makes normal mode computations and visualization of extremely large comple

98 group (i.e., the network "edges" encode the computation); and 2) a local-adaptation mechanism where

99 apply to human beings: limited time, limited computation, and limited communication.

100 (ROH)/heterozygosity ratio, distant pedigree computation, and mitochondrial DNA (mtDNA) copy number i

101 ce of biochemistry, structure, spectroscopy, computation, and model chemistry.

102 ones of various biological sources through a computation approach to determine their standard reducti

103 An Approximate Bayesian Computation approach was used to model the infection dyn

104 Using an approximate Bayesian computation approach, we reconstruct the demographic exp

105 circuit-level mechanisms that underlie their computation are still largely unknown.

106 First-principles path-integral computations are carried out, providing essentially exac

107 and by external sensory cues, but how these computations are coordinated is not fully understood.

108 Cortical computations are critically reliant on their local circu

109 at are proactively identified by server-side computations are listed as notifications in a feed.

110 cts of such behavior, but how the underlying computations are mechanistically implemented in the brai

111 However, MF and MB computations are often intertwined, and under conditions

112 threat-related processes, in which specific computations are studied across the various stages of th

113 the broader context of understanding neural computations as dynamics over relatively low-dimensional

114 To understand the underlying brain computation associated with the invariance properties, w

115 Computations at the level of density functional theory s

116 the "Extended" Kinetic Method and ab initio computations at three different levels of theory are use

117 m for segregating or integrating hippocampal computations based on the flexible coordination of diffe

118 Experimental and computation-based investigations of the species formed d

119 icular are thought to be central to cortical computation because of their extensive arborisation and

120 f the target gene but also enables efficient computation by using summary statistics from standard eQ

121 from grid cells may contribute to downstream computations by decorrelating different points of view f

122 Our replicated findings illuminate the computations by which the brain decides to imitate or em

123 ning which layers are involved in a cortical computation can inform us on the sources and targets of

124 Computations can be viewed as language recognition probl

125 network inference coupled with quantitative computations can reveal key transcriptional regulators i

126 Experiment and computation converge on the driving forces behind two su

127 On the other hand, ADP has a high computation cost because it requires running PCA separat

128 tion algorithm, which can greatly reduce the computation cost of ADP.

129 We also included Approximate Bayesian computation coupled with deep learning analyses and sing

130 The computations covered a wide range of Rayleigh number, 10

131 eral OFC with sensory cortex thus implements computations critical for value prediction that are hist

132 Cortical computation depends on interactions between excitatory a

133 ATP and NSAC1003 are competitive; computation docks NSAC1003 into RecB's ATP-binding site,

134 e leading candidates for topological quantum computation due to non-local qubit encoding and non-abel

135 DFT computations establish the origins of observed enantio-

136 Detailed computation evaluation of the reaction has uncovered a s

137 What computations explain this hierarchical temporal organiza

138 diversity empowers the spinal cord with the computation flexibility required to perform appropriate

139 ieves approximately 100-fold acceleration in computation for both simulated and patient data.

140 d-state electrolytes (SSEs) can be guided by computation for next-generation Li batteries toward high

141 hat state representation and decision-making computations for cognitive control are preferentially pe

142 he method has been widely used in biomedical computation, for instance in the genome-wide association

143 ta from these smaller cohorts to enable dose computation from a single posttreatment scan in a manner

144 The computations further explain how the hydrazide catalyst

145 Though the temporal precision of neural computation has been studied intensively, a data-driven

146 w is to uncover the nature of the associated computations, how they are implemented, and what role th

147 The results suggest that the deterministic computations humans perform are near optimal, and that b

148 A detailed mechanistic study supported by computation implicates the key role of MLC in facilitati

149 an R package RISCA to encourage the use of g-computation in causal inference.

150 eality check and considers the importance of computation in data collection/storage and algorithm des

151 on, leading to efficient algorithms and fast computation in many high-dimensional settings.

152 An elemental computation in the brain is to identify the best in a se

153 noise plays in information transmission and computation in the brain.

154 ate vision place the origins of this complex computation in the visual cortex.

155 ve shown great promise to implement parallel computations in artificial and spiking neural networks.

156 -models might facilitate isomorphic cortical computations in large-brained tactile specialists.

157 of the rTPJ increases the precision of value computations in social decision-making.

158 ngly used as a modeling framework for neural computations in the primate brain.

159 malization has long been used to account for computations in various neural processes and behaviours.

160 Here, we measure sensory computations in zebrafish vestibular neurons across mult

161 ality, while still performing "probabilistic computation" in the sense that they take into account se

162 e E(4)(2H)* ENDOR results as extended by DFT computations include (i) the Mo-site participates neglig

163 the area of interest, one must consider the computations including normalization occurring along the

164 Fitness computations incorporating genetic relatedness revealed

165 and provides an abstract interface to define computations independent of the location, format or stru

166 Computations indicate that the reduction potential of en

167 ceptual inference but how are these Bayesian computations instantiated neurally?

168 and all the covariates) and four methods: g-computation, inverse probability of treatment weighting,

169 rthermore, all-optically driven neuromorphic computation is demonstrated by machine learning to class

170 lity distribution of the occupancy spectrum; computation is much faster than realizing the whole assi

171 view concludes that continued scaling of EFM computation is necessary to apply EFM to genome-scale mo

172 ps limits experimental development, and thus computation is necessary to guide the structural design

173 96 individuals (the largest number for which computation is tractable).

174 n scheme for a quantum algorithm and quantum computation is very important especially in the arena of

175 n behaving animals perform independent local computations is not known.

176 inear stimulus representations and nonlinear computations, is unavoidable in networks driven by multi

177 Models of these neural computations lead to specific predictions for neural cir

178 an interoperability layer between such array computation libraries and, together with its application

179 implementation that dynamically balances the computation load between the cores in runtime which guar

180 first-principles simulation, high throughput computation, machine learning, and artificial intelligen

181 y share processing resources involved in the computation/maintenance of abstract hierarchical structu

182 This computation may arise within an unknown subcortical syst

183 Using an approximate Bayesian computation method, we estimate the age of the mutation

184 ased Digital-Staining, a deep learning-based computation model, to segment the nuclei of tumor, strom

185 ibe how neural population dynamics implement computations necessary for driving goal-directed behavio

186 Theoretical work has laid out the basic computations necessary for this signal transformation, b

187 r human amygdala neurons are involved in the computations necessary to implement learning through obs

188 crucial for understanding both the nature of computations needed to successfully traverse the space o

189 ent trials, but instead disrupted the update computation of a learning process, thereby affecting sub

190 is designed in such a manner that makes the computation of chemical shifts tractable for a large num

191 fication of 10 HCC-specific mRNA markers and computation of digital scoring.

192 The computation of elapsed time is therefore largely invisib

193 l subset of the SCN circuit, contributing to computation of ensemble period and maintenance of circad

194 The model enables fast computation of how different inhalation strategies, call

195 ve and appetitive systems, which enables the computation of integrated predictions that may improve f

196 mplement Ritz's upper bound and may turn the computation of lower bounds into a staple of eigenvalue

197 This allows for the computation of marker sequences or finding candidates fo

198 Thus, extensive receptor-mediated computation of mixture information appears to occur in t

199 light on the circuitry underlying the neural computation of prediction errors.

200 allenges and opportunities in the theory and computation of rechargeable alkali-ion battery materials

201 here fitting approach was introduced for the computation of subtalar joint centre of rotation, which

202 Computation of the isotopic distribution of compounds is

203 tic influences, and (ii) the input to or the computation of the metacognitive system.

204 ith such limited data and low diversity, the computation of the transmission probability between host

205 , while achieving average speedups in kernel computation of ~100x and speedups of ~800x for large fea

206 We tackle the intensive computations of dense signed networks by providing upper

207 d cyclic voltammetry data along with the DFT computations of the 2-Pr(Ph) complex unambiguously confi

208 to grasp objects would give insight into the computations of the grasping circuit.

209 devices now exist that can carry out quantum computation on a limited scale.

210 arious techniques to speed up the likelihood computation on the MSC model and the optimal network sea

211 he computational costs of running exhaustive computations on large and high-dimensional electrophysio

212 Despite advances in EFM computation, our review concludes that continued scaling

213 : dopamine neurons perform a derivative-like computation over values on a moment-by-moment basis.

214 nging applications in quantum simulation and computation, particle physics, and quantum chemistry.

215 to understanding neural systems, because the computations performed by deep networks are learned from

216 he deficits Abeta accumulation causes to the computations performed by neural circuits.

217 Making inferences about the computations performed by neuronal circuits from synapse

218 otion detection is one of the most important computations performed by visual circuits.

219 cellular and network properties of, and the computations performed by, the DG.

220 Computations performed with the Gaussian16 package showe

221 Computations provide insight into the selectivity and th

222 Here, we explored the dlPFC computations related to updating current beliefs during

223 Neural computation relies on the integration of synaptic inputs

224 -off, yet the neural basis of the underlying computations remains unclear.

225 Quantum computation requires many qubits that can be coherently

226 IGNIFICANCE STATEMENT Understanding cortical computation requires the understanding of its fundamenta

227 A mechanistic understanding of such computations requires wiring diagrams of neuronal networ

228 thods require long computation time and huge computation resources when the system becomes complex.

229 ct cognitive inferences and subjective value computations, respectively, scaled with the divergence-b

230 th directed exploration and subjective value computations, respectively, were selectively modulated b

231 DFT computations reveal that the active catalyst formed by a

232 Additionally, these computations revealed that molecular aggregates are weak

233 lowed by CCSD(T)/cc-pVTZ single-point energy computations reveals that the cis isomer is 0.7 kcal mol

234 ecision-making, establishes that distributed computation saturating the parallelism benchmark is poss

235 cally addressable qubits in emerging quantum computation, sensing, simulation, and communication tech

236 a task (imposing a greater demand on neural computations) should thus result in increased metabolism

237 Furthermore, our thermal computations show that butterfly wings in their respecti

238 Computation shows that electrons in the first two layers

239 stibular and proprioceptive cues drive these computations.SIGNIFICANCE STATEMENT Navigating in a thre

240 nd two more detailed ones make it clear that computation/simulation is anyway deeply intertwined with

241 and clock rate, leading to an enhancement in computation speed and power efficiency as compared to th

242 alternative approaches are unbiased and the computation speed can be 16-16 000 times faster than ADP

243 primary benefit of DOCTORS lies in its rapid computation speed.

244 t is stable numerically, and does not reduce computation speed.

245 and readout, we implement benchmark quantum computations such as Grover's search and the Deutsch-Joz

246 Computations suggest the cis-selectivity is a result of

247 Computations support the catalytic activity of naked In(

248 Ab-initio computations support the findings of two distinct solvat

249 n and completion are fundamental hippocampal computations supporting memory encoding and retrieval.

250 or cognitive science, which is, what are the computations taking place in someone's mind when they us

251 g a confidence threshold, at which recurrent computations terminate and a decision is made, enables f

252 exposures constant, methods like quantile g-computation that can estimate the effect of a mixture ar

253 ulb (OB) performs 'whitening', a fundamental computation that decorrelates activity patterns and supp

254 tory inputs with submillisecond precision, a computation that is in stark contrast to passive dendrit

255 t there are less data on how rules shape the computations that lead to choices.

256 Computations that require speed and temporal precision a

257 Yet, the fine-scale computations that support this adaptive processing in th

258 hat auditory cortex could support the neural computations that underlie the behavioral processes in t

259 We term this computation through neural population dynamics.

260 onstrate the application of the theory-aided computations through calculation of phase diagrams for a

261 Peripheral computations thus reflect natural input statistics, wher

262 However, these methods require long computation time and huge computation resources when the

263 sequently, FSS and Template help reduce TPOT computation time and may provide more interpretable resu

264 CPU hours, respectively, while the projected computation time of ADP was 1628 CPU hours.

265 e cluster while requiring substantially less computation time than the extended nearest insertion app

266 g gkm-SVM algorithms suffer from slow kernel computation time, as they depend exponentially on the su

267 mption allows for a substantial reduction in computation time, which is useful in simulations of larg

268 Nonetheless, it requires the most computation time.

269 Computation times vary depending on the ML algorithm fro

270 s in exposed populations.Objectives: Apply G-computation to estimate hypothetical effects of several

271 this observation, we combine experiment and computation to investigate the mechanism of the chain-wa

272 erebellar nuclei that communicate cerebellar computation to other brain areas.

273 ng regime relevant for high-fidelity quantum computation to strongly coupled donor arrays of interest

274 internal noise, and humans use near-optimal computations to estimate speed from naturalistic image m

275 rojects that use phenotype data and big data computations to generate novel outcomes and glimpse what

276 tations of the world; rather, they use local computations to interpolate over task-relevant manifolds

277 ucible state (or sequence of states) for its computations to make sense.

278 The unprecedented ability of computations to probe atomic-level details of catalytic

279 o report the functional anatomy and neuronal computation underlying inferential decisions.

280 rks of spiking neurons can carry out various computations underlying behavior.

281 surprisingly little is understood about the computations underlying hierarchical motion perception.

282 The computations underlying risky decision-making are fundam

283 Quantile g-computation, unlike WQS regression, allows inference on

284 evidence of a common mechanism for cortical computations used for global integration of stimulus fea

285 The partition function computation uses atlases of interface subassembly landsc

286 Our optical computations using a unit cell approach reproduce the sp

287 Parametric g-computation was used to estimate adjusted mortality rate

288 Using experimentation and computation we here show that the histidine kinase is ac

289 cient data structures combined with parallel computation, we offer a rapid, reliable, and exhaustive

290 By correlating our experimental results with computation, we show that each isomer exerts intrinsic c

291 ent diffusion coefficient (ADC) regional map computation were assessed.

292 rements, deuterium labeling studies, and DFT computations were conducted and, together, strongly sugg

293 Density functional theory (DFT) computations were exploited to decipher the key mechanis

294 rohibitively slow optimal serial max-finding computation (which takes [Formula: see text] time for N

295 rocarbons are presented based on theoretical computations, which are in excellent agreement with the

296 important especially in the arena of quantum computation with limited number of qubit resources.

297 range of computational models for in-memory computation, with recent ReRAM-CAM designs proposed but

298 iocircuits become more complex, distributing computations within multi-strain microbial consortia bec

299 client deployment of SciBet for rapid local computation without uploading local data to the server.

300 n be evaluated based on simulations or exact computations, without the need for asymptotic approximat