ライフサイエンスコーパス: neural

1 ether, our work provides a computational and neural account of why people learn less from observing o

2 Indeed, disrupting the correlations between neural activities decreased decoding performance, mostly

3 cience studies involving chronic tracking of neural activities.

4 captured a unique spatiotemporal pattern of neural activity across the cortex.

5 rstood since experimental tools that measure neural activity across this brainstem-wide circuit are l

6 Neural activity after serum incubation was assessed in m

7 ed unique, possibly compensatory patterns of neural activity among adolescents whose ADHD has improve

8 How neural activity and attention to choice alternatives con

9 The transform between neural activity and calcium-related fluorescence involve

10 We identify the dimensions of neural activity associated with these phases and show th

11 d, this work investigates how motor cortical neural activity changes when three human participants wi

12 At the time of choice, neural activity consistent with model-free moral learnin

13 methods, which offer a direct measurement of neural activity in functionally well-characterized brain

14 duced effects were associated with increased neural activity in HVC and occurred independently of bas

15 ltisensory integration can alter patterns of neural activity in time, and even coordinate activity am

16 ons not directly relevant to the task (e.g., neural activity in visual cortex predicting conscious pe

17 ated with restored expression of key MSN and neural activity marker genes in the NAc.

18 Local M2 neural activity precedes local M1 activity, supporting t

19 (3), the effects of dopamine on larger-scale neural activity profiles are less well-understood.

20 between such a spiking-band power (SBP) and neural activity remains unclear, as does the capability

21 During expert performance, we measured neural activity throughout cortex using widefield imagin

22 e found that the contribution of preparatory neural activity to movement duration (MD) variability is

23 ction of visual moving dots, while recording neural activity with millisecond resolution using magnet

24 ha disruption and changes in value-modulated neural activity, we reveal potential neural substrates f

25 d affective behavior, stress regulation, and neural activity.

26 without corresponding changes in population neural activity.

27 to experimental recordings of visual-driven neural activity.

28 ndividuals are a consequence of drug-induced neural adaptations.

29 uding how IL-10 regulates basic processes of neural and adipose cells and how it promotes CD8 T cell

30 at reducing pain and looked for co-adaptive neural and behavioral changes.

31 we offer new evidence that may reconcile the neural and behavioral findings.

32 se to intercept mobile prey, and coordinated neural and biomechanical mechanisms that animals use to

33 To address this question, we investigated neural and inflammatory markers from mice deficient for

34 We studied the driver's neural and motor patterns while he drove a sports car on

35 profiling to reveal strong and broad loss of neural APA in elav/fne double mutant CNS, the first gene

36 We suggest that the effort to determine the neural basis of adaptive behavior could benefit from ren

37 is a critical need to better understand the neural basis of antidepressant medication (ADM) response

38 ng a new avenue for the investigation of the neural basis of navigation behaviors and the evolution o

39 and environmental factors to investigate the neural basis of reinforcement-related behavior in normal

40 potential implications for understanding the neural basis of trauma-related disorders.

41 Plume pharmacology and plume-like neural Ca(2+) events were consistent with action-potenti

42 We identified Neural Cell Adhesion Molecule (NCAM1) as a potential ZIK

43 tions represent a delicate balance affecting neural cell functions in health and disease.

44 y precise, noninvasive control over specific neural cell types in the deep brain would advance the st

45 ion of almost all transcriptomically defined neural cell types.

46 stand the mechanisms of direct virus-induced neural-cell damage leading to demyelination and axonal l

47 ease biology is to attempt to understand the neural-cell-immune interaction to investigate the underl

48 notably, improper structural organization of neural cells and a lack of functional glia and vasculatu

49 stingly, these protrusions contact different neural cells in the brain parenchyma including blood ves

50 nabis use disorder, which often share common neural characteristics with other substance use disorder

51 anterograde trans-synaptic viral vectors for neural circuit analysis in multiple species.

52 n 129 (H129) are important tools for mapping neural circuit anatomic and functional connections.

53 m may participate in decision-making but the neural circuit and molecular bases for these functions a

54 ance, the molecular mechanisms regulating DG neural circuit assembly and function remain unclear.

55 cam and dscaml1) are essential regulators of neural circuit assembly, but their roles in vertebrate n

56 ssociated with autism spectrum disorders and neural circuit changes in several brain areas, but the c

57 rts showing a role of autophagy during early neural circuit development and suggests that autophagy i

58 colonization of the brain to later regulate neural circuit development.

59 cuit assembly, but their roles in vertebrate neural circuit function are still mostly unexplored.

60 Despite their importance for neural circuit function, only a little is known about th

61 he accessory olfactory bulb (AOB), the first neural circuit in the mouse accessory olfactory system,

62 We suggest that this darcin-activated neural circuit integrates pheromonal information with in

63 ize the viruses that have been developed for neural circuit mapping, and we provide a primer on curre

64 However, the neural circuit mechanisms underlying this ability are un

65 to treat major depressive disorder, yet the neural circuit mechanisms underlying this therapeutic ef

66 might be achievable via small adjustments of neural circuitry in key brain areas.

67 However, the neural circuitry through which the brain integrates exte

68 The way in which aberrant neural circuits contribute to epilepsy remains unclear.

69 n excitation and inhibition (E-I balance) in neural circuits is believed to be tightly regulated.

70 Revealing the organization and function of neural circuits is greatly facilitated by viral tools th

71 this flexibility is achieved at the level of neural circuits is not understood.

72 Imaging neurons and neural circuits over large volumes at high speed and sub

73 mosquitoes possess the central or peripheral neural circuits required to host-seek and that removing

74 during which high levels of plasticity allow neural circuits to be tuned for optimal performance.

75 with the physiological output of intestinal neural circuits to maintain gut homeostasis and health.

76 Although the neural circuits underlying more direct forms of learning

77 el for understanding GPCR signaling in other neural circuits.SIGNIFICANCE STATEMENT Neurotransmitters

78 Thus, a compositional neural code potentially contributes to efficient reading

79 We asked whether the same brain regions and neural codes supporting spatial navigation are recruited

80 events by representing them with overlapping neural codes.

81 Implications for a neural common currency of information theoretic and moti

82 within the broader context of understanding neural computations as dynamics over relatively low-dime

83 found that auditory cortex could support the neural computations that underlie the behavioral process

84 Thus, delineating neural control of behavior requires a dissociation betwe

85 The neural correlates associated with the other language dom

86 Neural correlates of altered pain perception in C9orf72

87 Our findings reveal the real-time neural correlates underlying the dynamic processing of m

88 Differential AQP-1 levels affect neural crest cell speed and direction, as well as the le

89 ator complex subunit protein, Med23 in mouse neural crest cells (Med23(fx/fx);Wnt1-Cre), results in m

90 cification and maintained in migrating chick neural crest cells.

91 istent truncus arteriosus (PTA), which trunk neural crest fails to rescue.

92 The neural crest gives rise to numerous cell types, dysfunct

93 Since its discovery 150 years ago, the neural crest has intrigued investigators owing to its re

94 Melanoblasts deriving from the neural crest migrate along the developing embryo and tra

95 We found that neural crest progenitors display elevated expression of

96 scription factors that define one subtype of neural crest, the cardiac crest, and demonstrate their a

97 ults from re-specification of cells from the neural crest-derived sox9a(+)/sox10(+) skeletal lineage.

98 igenomic landscape to define the presumptive neural crest.

99 We examine behavioral and neural data from a task-set learning experiment using a

100 ms to induce pathways that are implicated in neural degeneration(3-9).

101 rom glycogen to distinguish iPSCs from their neural derivatives, and the result was verified by the c

102 Cs play roles in cellular volume regulation, neural development and function, audition, regulation of

103 Astrocytes orchestrate neural development by powerfully coordinating synapse fo

104 An important question in early neural development is the origin of stochastic nuclear m

105 on these nonconventional ubiquitin chains in neural development, function, plasticity, and related pa

106 tain long-term viability for later stages of neural development, including axon outgrowth and neurona

107 Thus, CUL3 is critical to neural development, neurotransmission, and excitation-in

108 sis further revealed that ASD genes activate neural differentiation and inhibit cell cycle during the

109 ural stem cells (hNSCs) show high viability, neural differentiation, and the formation of functional,

110 dings suggest that noise adaptation reflects neural dynamic range adaptation to the most frequent noi

111 ent, the representational structure, and the neural dynamics of face processing.

112 This study provides insight into the neural dynamics producing vestibulocollic reflexes, whic

113 in the 2 hemispheres, shedding light on the neural dynamics that potentially shape auditory and spee

114 xistence of altered and perhaps compensatory neural dynamics, sub-serving auditory working memory, re

115 An understanding of alcohol's acute neural effects could augment our knowledge of mechanisms

116 The similarities in behavioral and neural effects have been puzzling because the compounds

117 However, the neural elements mediating symptom relief are unclear.

118 wn about how spectral cues contribute to the neural encoding of auditory space.

119 plications in neural prosthetics, chip scale neural engineering, and extensions to different tissue a

120 entire dendritic spans of neurons as well as neural ensembles within multiple cortical regions over t

121 beta-catenin promotes mesodermal rather than neural fate(7), this ultimately leads to activation of m

122 Thus, MR-derived neural flexibility has the potential to reveal the under

123 a crucial role in maintaining and regulating neural function, and importantly its dysfunction is impl

124 volume must be regulated to maintain optimal neural function.

125 nteract to mediate an ethologically relevant neural function.

126 ral states tended to fall at either end of a neural hierarchy that is thought to reflect the brain's

127 sympathetic hyperinnervation and sympathetic neural hyperactivity that persists despite normalization

128 king and put experimental constraints on the neural implementation of accumulation-to-bound-like comp

129 Existing neural interface technologies have been shown to provide

130 plasticity, which was blocked by inhibiting neural lactate uptake.

131 On the neural level, both OXT and LZP inhibited responses to fe

132 On the neural level, this outgroup deficit was reflected in the

133 Neural lineages have been implicated as cells of origin,

134 Recent research suggests that this same neural machinery is also recruited for reasoning about m

135 ing activity-dependent tagging combined with neural manipulation techniques, we reveal that contextua

136 the well established notion of the P3b as a neural marker of awareness and highlight the need for ne

137 There is no definitive neural marker of suicidal thoughts and behaviors (STBs)

138 dynamics, we phenomenologically extended the neural mass model of partial seizures, the Epileptor, by

139 Increasing evidence indicates that early neural measures implicated in anxiety and anxious temper

140 ential foundations for further revealing the neural mechanism of sensory selection and distractor sup

141 describe a neural mechanism that increases endothelial fenestration

142 Yet, the neural mechanism that links information on gaze directio

143 We simulated the proposed neural mechanisms and tested model estimates using data

144 s a knowledge gap regarding the compensatory neural mechanisms involved in this condition.

145 d developed two new scientific models-one on neural mechanisms of binocular rivalry, the other on the

146 n the hypothesis that anesthetics co-opt the neural mechanisms regulating sleep.

147 l models of eating disorders and to identify neural mechanisms that contribute to the risk and mainte

148 However, the neural mechanisms that enable us to respond to target st

149 We further discuss the neural mechanisms that support changes in aggression bas

150 semantic content analyses to investigate the neural mechanisms that underlie the biased processing of

151 critical to making progress in revealing the neural mechanisms underlying cognition and behavior.

152 These outcomes provide insights into the neural mechanisms underlying memory enhancement, which h

153 regated, even without binaural cues, but the neural mechanisms underlying this ability are not well u

154 rain acquired from past experiences, but the neural mechanisms underlying this process are poorly und

155 s, as regions of interest, in clarifying the neural mechanisms underlying visual perception.

156 ing that imagery and perception share common neural mechanisms.

157 iological mechanism for the restructuring of neural memory traces.

158 ch species developed specific innovations in neural, muscular, and receptor systems.

159 We propose an end-to-end neural nested event extraction model named DeepEventMine

160 and optimized using a multi-layer artificial neural network (ANN) coupled with genetic algorithm (GA)

161 th every voxel classified by a convolutional neural network (CNN).

162 ithiated phase of Li(7) Ti(5) O(12) for Deep Neural Network applications is reported, given the large

163 ed phase of Li(4) Ti(5) O(12) toward Spiking Neural Network applications, due to the shorter retentio

164 eformulating the exact function of a trained neural network as a collection of stimulus-dependent lin

165 s contrasts strongly with intense brain-wide neural network dynamics.

166 aits based on the interpretation of what the neural network has learned.

167 cancer and lymphoma by using a convolutional neural network is feasible and achieves high diagnostic

168 a group feature selection-based deep sparse neural network model (DNN-GFS) that is optimized for neo

169 hods: A Lung Cancer Prediction Convolutional Neural Network model was trained using computed tomograp

170 Here we show: (1) Recurrent convolutional neural network models outperform feedforward convolution

171 Using simulations with neural network models, we show that contemporary statist

172 Our neural network predicts more accurate sub-compartment pr

173 rking experiments indicate that the ensemble neural network reaches the average best area under the c

174 el specifications for biologically realistic neural network simulations, until further direct experim

175 We propose a deep neural network tensor factorization method, Avocado, tha

176 sleep longer by delaying the maturation of a neural network that controls sleep.

177 This work proposes DeepH3, a deep residual neural network that learns to predict inter-residue dist

178 Purpose To develop a convolutional neural network to detect LVOs at multiphase CT angiograp

179 ark matter' sequences, we used an artificial neural network to identify candidate viral capsid protei

180 We also employ a novel method of using a neural network to reduce the computational complexity of

181 We trained the convolutional neural network to segment six major renal structures: gl

182 CLPred, which uses a bidirectional recurrent neural network with long short-term memory (BLSTM) to ca

183 tree, 0.96 by random forest, 0.91 by simple neural network, and 0.95 by XGBoost.

184 macokinetic parameters through convolutional neural network-based image processing, including relativ

185 linear receptive field interpretation of the neural network.

186 are learned using a bidirectional recurrent neural network.

187 om PPG, whereas for DL several convolutional neural networks (CNNs) have been applied to the whole PP

188 valuate configurations of deep convolutional neural networks (CNNs) to localize and classify uptake p

189 The approach is based on convolutional neural networks (CNNs), which may be embedded in dedicat

190 ose To explore the use of deep convolutional neural networks (DCNNs) to generate synthetic MRI ventil

191 Here, we investigate Deep Neural Networks (DNN) to predict toehold switch function

192 Deep neural networks (DNNs) have achieved state-of-the-art pe

193 Artificial neural networks are notoriously power- and time-consumin

194 Neural networks display the ability to transform forward

195 similarities with encoder-decoder artificial neural networks in which the input is first compressed a

196 st studies integrate bidirectional recurrent neural networks into their models.

197 n of machine learning, namely, convolutional neural networks to solve problems in the initial steps o

198 Three-dimensional convolutional neural networks were trained to estimate global visual f

199 Neural networks were trained to segment organs in PET/CT

200 We start with an example illustrating how neural networks work and a discussion of potential appli

201 formation about the functional properties of neural networks, and thus information transfer.

202 ne learning methods, including convolutional neural networks, have enabled the development of AF scre

203 rmatics), Image Postprocessing, Informatics, Neural Networks, Neuro-Oncology, Oncology, Treatment Eff

204 e machines-in the context of memristor-based neural networks.

205 of ordinary differential equations into the neural networks.

206 formation of functional, stimulus-responsive neural networks.

207 ind radically distributed representations in neural networks.

208 uding a gradient boosting model and two deep neural networks.

209 The AD-AE model consists of two neural networks: (i) an autoencoder to generate an embed

210 cular disruption in T1D of several essential neural nodes engaged in both cognitive and motor process

211 classify participants based on psychosocial, neural, or both (neuropsychosocial) data.

212 n and measure projection analyses to compare neural oscillations between individuals with cLBP who ex

213 all types of information are associated with neural patterns after a face is seen.

214 cial expression was uniquely associated with neural patterns at several points throughout the time co

215 Still, the specific loci of these neural patterns differed between both subjects, suggesti

216 afferent inputs on cortical excitability and neural plasticity often used transcranial magnetic stimu

217 eraging the stability of ECoG interfaces and neural plasticity.

218 We found that the dimensionality of neural population activity was higher across blocks in w

219 ing conditions gives rise to a collection of neural population responses called an 'object manifold'.

220 effects of the transformation on analyses of neural populations are not well understood.

221 We found that distinct neural populations respond preferentially to VOTs from o

222 nteractions between cortical and subcortical neural populations.

223 er pharmacological stimulation of endogenous neural precursor cells (NPCs) may promote cognitive reco

224 ly focusing on reaching and grasping and the neural principles that guide them.

225 However, the existence of supramodal neural processes related to conscious perception has not

226 Despite this evidence, the neural processes that govern cocaine potency in vivo rem

227 After the presentation of a visual stimulus, neural processing cascades from low-level sensory areas

228 sumption that the SE-SSM reflects aspects of neural processing in this task, we go on to examine the

229 l module, confirming that these genes reduce neural progenitor cell proliferation and neurite growth.

230 DNA damage repair essential to proliferating neural progenitor cells (NPCs).

231 of the developing cerebral cortex, including neural progenitor cells and developing neurons.

232 entricular system and CSF sources (including neural progenitors and choroid plexus).

233 hannels are key regulators of the biology of neural progenitors during development and in adult neuro

234 In the zebrafish spinal cord, neural progenitors form stereotypic patterns despite noi

235 to in utero developmental processes such as neural proliferation, migration, and differentiation.

236 ral stimulation, with future applications in neural prosthetics, chip scale neural engineering, and e

237 epsy, there is rather little research on the neural (re)organization that potentially subserves behav

238 We obtained direct neural recordings from electrodes implanted in human sub

239 Lower activation in neural regions associated with visual attention and sali

240 Neural remodeling in PVC-CM is characterized by extracar

241 le causal relationship between hearing loss, neural reorganisation, and cognitive impairment.

242 this might be the case, we investigated the neural representation of speech in the auditory midbrain

243 They indicate that the neural representation of the outside world is altered by

244 These findings suggest that abstract neural representations of regularly occurring events may

245 a uncover shared and unique features between neural resident macrophages and emphasize the role of ne

246 controls, PTSD subjects exhibited a stronger neural response associated with fear generalization to t

247 In visual regions, neural responses tuned away from internal predictions ar

248 ight-dependent processes in both the RPE and neural retina to ensure adequate 11-cis-retinal producti

249 f excessive scar tissue found throughout the neural retina.

250 earning is accompanied by the evolution of a neural schema in the orbitofrontal cortex.

251 hese results provide the first evidence that neural signals in RN integrate cognitive control signals

252 route decision-making model that mimics the neural signals of these regions.

253 These results reveal neural signals that combine reward value with sensory co

254 ted directed exploration under L-dopa, while neural signatures of exploration, exploitation and predi

255 However, a neural source of salience remains elusive.

256 Therefore, neural-specific exon 5 splicing and depletion of BAK1 pr

257 ow here that attractor dynamics that control neural spiking during mnemonic periods interact with act

258 Finally, we found that these two neural states tended to fall at either end of a neural h

259 ters, termed RDCs, in cultured primary mouse neural stem and progenitor cells (NSPCs).

260 nd surface topography, enable the control of neural stem cell (NSC) differentiation and neurite outgr

261 lso show that ET-1 is required for increased neural stem cell and OPC proliferation in the adult mous

262 Printed human neural stem cells (hNSCs) show high viability, neural di

263 Neural stem cells (NSCs) are multipotent progenitors tha

264 BVs) are considered an integral component of neural stem cells (NSCs) niches.

265 which was due to inhibited proliferation of neural stem cells (NSCs).

266 ophila optic lobe neuroepithelium to produce neural stem cells (NSCs).

267 a new human neuronal cell model of HD, using neural stem cells (ReNcell VM NSCs) stably transduced to

268 clude that parenchymal astrocytes are latent neural stem cells and that targeted interventions can gu

269 Administration of human neural stem cells by intracerebral implantation is feasi

270 dly detectable in non-neoplastic astrocytes, neural stem cells or normal brain.

271 -activating protein, in the radial glia-like neural stem cells within the ventricular zone of the med

272 Neural stem/progenitor cell (NSPC) grafts can integrate

273 lamin B1, one of the nuclear lamins in adult neural stem/progenitor cells (ANSPCs), underlies age-rel

274 explore chip-scale axon and neuron specific neural stimulation, with future applications in neural p

275 The miniaturized neural stimulator may facilitate closed-loop neurostimul

276 r artificial) might have modified underlying neural structure to support species-specific behaviors.

277 introduced the term "engram" to describe the neural substrate for storing memories.

278 yndromes and compare these with the proposed neural substrate of the integrative memory model support

279 y has the potential to reveal the underlying neural substrates for developing a cognitively flexible

280 dulated neural activity, we reveal potential neural substrates for the pathophysiology of neuropsychi

281 y to further expand our understanding of the neural substrates of memory.

282 We propose that these changes in neural synchronization reflect differential anticipatory

283 eal a division of labor in which dissociable neural systems support the learning and transfer of abst

284 d stress to disruption of the development of neural systems supporting reflection and EF skills to an

285 measurements in terms of activation of these neural systems.

286 s of habituation in other more sophisticated neural systems.

287 processes consisting of precisely patterned neural time-keeping activity in the supplementary motor

288 entially grow as compared to neighboring non-neural tissues, resulting in dendrite overgrowth.

289 Disruptions in neural tube (NT) closure result in neural tube defects (

290 Using the zebrafish neural tube as a model, we uncover the in vivo mechanism

291 genital malformations caused by a failure of neural tube closure during early embryonic development.

292 Neural tube defects (NTDs) are a group of severe congeni

293 ptions in neural tube (NT) closure result in neural tube defects (NTDs).

294 d tactile detection and were encoded in L2/3 neural tuning.

295 indings link animal and human studies on the neural underpinning of attention in aging and underscore

296 These idiosyncratic biases and their neural underpinnings are often overlooked in studies on

297 results shed light on the psychological and neural underpinnings of how identical information is int

298 This result provides a window onto the neural underpinnings of subjective perception, and offer

299 ep insights into memory architecture and its neural underpinnings.

300 Neural Wiskott-Aldrich syndrome protein(N-Wasp) is an ac