ライフサイエンスコーパス: neural activity

1 the strength of cognitive dissonance-related neural activity.

2 s successes and its limitations in measuring neural activity.

3 result in profound and sustained effects on neural activity.

4 asures cerebral perfusion related to ongoing neural activity.

5 re of the collective structure of population neural activity.

6 hift to excitatory-inhibitory balance in PFC neural activity.

7 conditions characterized by hypersynchronous neural activity.

8 nctional expression of orientation selective neural activity.

9 arise between adult speakers' and listeners' neural activity.

10 in arteriole diameter caused by theta burst neural activity.

11 increasingly supports coordinated control of neural activity.

12 ports calcium influx induced by synaptic and neural activity.

13 le learn to self-regulate their own recorded neural activity.

14 y can be made solely using early odor-evoked neural activity.

15 transmission can be dynamically regulated by neural activity.

16 4dpf larvae, provided additional measures of neural activity.

17 and powerful tools to control and manipulate neural activity.

18 perception and interacts with other ongoing neural activity.

19 their relationship to alternative sensors of neural activity.

20 ium video data into estimates of single-cell neural activity.

21 res and where E2 is known to acutely promote neural activity.

22 nche of data on both neural connectivity and neural activity.

23 periods of rest were weakly correlated with neural activity.

24 machine interfaces that also use ipsilateral neural activity.

25 tic scaling in response to global changes in neural activity.

26 y input, thus entirely reflecting endogenous neural activity.

27 res resulting from aberrant hypersynchronous neural activity.

28 task or overt stimulation are used to infer neural activity.

29 is usually not dependent on sensory-elicited neural activity.

30 (LTP), which relies on the precise timing of neural activity [2].

31 ry changes can rapidly alter coordination of neural activity across brain-wide neural systems or larg

32 may underpin similarities and differences in neural activity across people.

33 These correlated changes in behavior and neural activity after amygdala lesions strongly suggest

34 (time code) and the spatial distribution of neural activity along the length of the cochlear partiti

35 ials, suggesting that they reflect different neural activities and play different roles during memory

36 ignalling systems ensure stable but flexible neural activity and animal behaviour.

37 tform for continuous long-term recordings of neural activity and behavior in freely moving rodents.

38 rent circuitry that endogenously drives this neural activity and behavior, the downstream receptors a

39 mporal onsets and functional consequences on neural activity and behavior.

40 f its most vital roles: the coupling between neural activity and blood flow.

41 ed this coupling by simultaneously measuring neural activity and changes in cerebral blood volume (CB

42 e for capillary endothelial cells in sensing neural activity and communicating it to upstream arterio

43 imaging to investigate micrographia-related neural activity and connectivity modulations.

44 al adaptive cognitive training (Lumosity) on neural activity and decision-making in young adults (N =

45 for dual-task performance, and compared the neural activity and functional connectivity pattern in t

46 raparietal sulcus (IPS), shows both elevated neural activity and global brain connectivity during thr

47 Neurovascular coupling between resting-state neural activity and hemodynamics was robust and fast in

48 put-output curve, impaired spatial tuning of neural activity and impaired sparse coding of informatio

49 Rhythmic neural activity and increases in acetylcholine release i

50 tion, and deficits in the temporal tuning of neural activity and its implication for neural codes.

51 , sensory input in another region) balancing neural activity and leading to more stable behavior (tra

52 ct motor capabilities.SIGNIFICANCE STATEMENT Neural activity and movement kinematics are remarkably v

53 that enable measurement and manipulation of neural activity and neural circuits.

54 estimation, exploiting correlations between neural activity and observed experimental variables to t

55 mosensory reflex as indicated by elevated CB neural activity and plasma catecholamine levels, and ele

56 internal models of the relationship between neural activity and the body's movement.

57 accurately and differentially predicted from neural activity and to what extent their neural substrat

58 nse variability as results of decoding noisy neural activity, and can account for the behavioral resu

59 als reflect a combination of behavior, local neural activity, and putatively non-neural processes.

60 Repeated sequences of neural activity are a pervasive feature of neural networ

61 Although dopamine function and reward system neural activity are impaired in most psychiatric disorde

62 hat the dynamics of internally generated HVC neural activity are predictive of the learned temporal-s

63 rk that links them, revealing how collective neural activity arises from the structure of neural conn

64 ch has identified late-latency, long-lasting neural activity as a robust correlate of conscious perce

65 That is, we are modeling neural activity as driven by multiple simultaneous stimu

66 We measured participants' neural activity as they attempted to predict the emotion

67 f marmoset frontal cortex observed modulated neural activities associated with self-initiated vocal p

68 Rewards are known to influence neural activity associated with both motor preparation a

69 the present study, we have found patterns of neural activity associated with specific architectural s

70 Here, we investigated the neural activity associated with these individual differe

71 We found that removal of sodium taste neural activity at adulthood resulted in significant reo

72 studies using calcium imaging have measured neural activity at high spatial and temporal resolution

73 These findings demonstrate that neural activity at the pulse frequency in the auditory c

74 (30-100 Hz) and slow theta (3-8 Hz) spectral neural activity, based on data from 294 neurosurgical pa

75 To investigate how changes in population neural activity, beta oscillations, and behavior are lin

76 t outcomes fits choices and decision-related neural activity better than a canonical incremental lear

77 tials) provide an accessible view of in vivo neural activity, but proper interpretation of field pote

78 k beta oscillations to changes in underlying neural activity, but the specific behavioral manifestati

79 mogeneity, consistent with a local spread of neural activity by astrocyte activation.

80 This indicates dominance of neural activity by local environmental cues even when th

81 growth programs can be reactivated in RGCs, neural activity can enhance RGC regeneration, and functi

82 Phase patterns of slow neural activity consistently followed the syllabic rate

83 To test whether neural activity could forecast market-level crowdfunding

84 ls provide a comprehensive framework for how neural activity could produce behavior.

85 How neural activity creates this motivation remains poorly u

86 al diseases require the in-depth analysis of neural activity data from ECoG.

87 n addition, we find that ON and OFF ensemble neural activities differ in their ability to recruit rec

88 te neural activity in real time, and measure neural activity during behavior.

89 opens a path towards recording of brain-wide neural activity during behaviour.

90 Neural activity during cognitive tasks exhibits complex

91 evidence that cognitive training influences neural activity during decision-making; nor did we find

92 participants, predict subsequent patterns of neural activity during fear learning.

93 meta-analytic tool Neurosynth, we find that neural activity during frame-biased decisions was more s

94 avioral data and accounts for the changes in neural activity during learning in wild type mice.

95 One possibility is that neural activity during memory retrieval, like replay of

96 Neural activity during repeated presentations of a senso

97 e relationship between dopamine function and neural activity during reward anticipation in 27 partici

98 Between-group differences in neural activity during task performance were assessed us

99 ions over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits o

100 thus enabling real-time online estimation of neural activity during the imaging session.

101 t with this hypothesis, changing patterns of neural activity dynamically in a number of brain areas-i

102 olinergic signaling during cue detection and neural activity dynamics in prefrontal networks remains

103 the influence of oxytocin and vasopressin on neural activity elicited during negative social evaluati

104 The brain exhibits organized fluctuations of neural activity, even in the absence of tasks or sensory

105 y to determine definitively whether specific neural activity features are involved in a task.

106 M), has been implicated in the modulation of neural activity following fear conditioning and extincti

107 We recorded neural activity from dPAG and vPAG in rats during the ex

108 methods and white noise stimuli, we recorded neural activity from ensembles of LGN neurons in cats ac

109 volution approach that extracts estimates of neural activity from fluorescence traces, to create a sp

110 behavior are linked, we recorded multi-scale neural activity from motor cortex while three macaques p

111 actions.SIGNIFICANCE STATEMENT Recordings of neural activity from nonhuman primate frontal and pariet

112 Furthermore, recordings of neural activity from the guinea pig inferior colliculus

113 (CNT) yarn electrodes to chronically record neural activity from two separate autonomic nerves: the

114 CBF responses to neural activity (functional hyperemia), topical applicat

115 Neural activity further predicted population-level outco

116 ontrol is mediated by internal models of how neural activity generates movement.

117 een no direct test of whether taste-elicited neural activity has a role in shaping central gustatory

118 Sparse, sequential patterns of neural activity have been observed in numerous brain are

119 control system, the dynamics of preparatory neural activity have been well described by stochastic a

120 Are the temporally patterned neural activities important for controlling the behavior

121 Interestingly, neural activities in the anterior cingulate cortex (ACC)

122 ch behavioral data, whereas the evolution of neural activities in the network closely mimics neural r

123 To address this question, we recorded neural activity in a prefrontal sensorimotor area while

124 s forms of appetite suppression and decrease neural activity in a separate population of appetite-sup

125 Neural activity in anticipation of the animate target si

126 We recorded neural activity in auditory cortex (AC) and hippocampus

127 es with modified TFS were then used to evoke neural activity in auditory neurons of the inferior coll

128 wn that, during selective listening, ongoing neural activity in auditory sensory areas is dominated b

129 ile food value is represented in patterns of neural activity in both medial and lateral parts of the

130 ed EEGs in human participants and found that neural activity in both theta and gamma ranges was sensi

131 alternative computational framework in which neural activity in each brain area depends on a combinat

132 atter integrity, and functional task-related neural activity in former U.S. football athletes.

133 sue of Neuron, Murakami et al. (2017) relate neural activity in frontal cortex to stochastic and dete

134 This is striking because neural activity in frontoparietal cortex is believed to

135 guish between the roles played by NMDARs and neural activity in general.

136 antics to decode conceptual information from neural activity in heteromodal cortical areas.

137 Here we addressed this issue by recording neural activity in hippocampal region CA1 while rats per

138 Here we read out the contents of vWM from neural activity in human subjects as they manipulated st

139 stimuli that either correlate or decorrelate neural activity in human visual cortex.

140 arch applications, yet its effect on ongoing neural activity in humans is not well established.

141 ed remembering from forgetting, then decoded neural activity in later sessions in which we applied st

142 tal task induced a significant modulation of neural activity in left postcentral gyrus (PostCG), righ

143 Manipulation of neural activity in Leucokinin neurons revealed these neu

144 er, these results demonstrate that pretarget neural activity in motor cortex reflects the monkey's in

145 We explicitly tested whether preparatory neural activity in premotor neurons of the primate super

146 map connectivity between neurons, manipulate neural activity in real time, and measure neural activit

147 Neural activity in response to 80 New York Times article

148 scents at age 14 and 16 to determine whether neural activity in response to anticipated rewards predi

149 This technique relies on local storage of neural activity in strands of DNA, followed by offline a

150 in the class of latent state space models of neural activity in that it assumes that firing rates of

151 Rhythmic neural activity in the alpha band (8-13 Hz) is thought t

152 Further, we discovered that neural activity in the bat SC changes with dynamic adapt

153 in visual cortex, indexed by a modulation of neural activity in the beta-frequency range.

154 ovide new insights into the function of GCG+ neural activity in the brain and raise questions that wi

155 Whether, when and how neural activity in the brain encodes these components re

156 Previous work has demonstrated that neural activity in the caudate nucleus is modulated by t

157 ngs, we expected this polymorphism to affect neural activity in the cingulo-opercular (CO) network in

158 fore provide a link between reinstatement of neural activity in the cortex and spontaneous replay of

159 protocol optimized to enable measurement of neural activity in the dopaminergic midbrain as well as

160 T We provide evidence for a novel pattern of neural activity in the frontal cortex of freely moving,

161 The present study examined neural activity in the higher-order auditory cortex Te2

162 During spatial navigation, neural activity in the hippocampus and the medial entorh

163 contextual fear memory requires coordinated neural activity in the hippocampus, medial prefrontal co

164 nt study aimed to examine whether modulating neural activity in the IFC using high frequency transcra

165 ) signaling and its corresponding effects on neural activity in the lateral septum (LS) are both nece

166 d technologies for large-scale recordings of neural activity in the live brain is a crucial goal in n

167 uggest that these incremental differences in neural activity in the maternal brain reflect the buildi

168 or feedback control by analyzing patterns of neural activity in the midbrain superior colliculus (SC)

169 he strong link between motion perception and neural activity in the middle temporal (MT) area of the

170 cting vCA1 neurons could induce synchronized neural activity in the mPFC and amygdala and convey cont

171 c resonance imaging (efMRI) revealed altered neural activity in the mTBI patients in the cerebellum-t

172 Here, we recorded neural activity in the NAc core and shell during trainin

173 sured in visual cortex are tightly linked to neural activity in the narrow band gamma (NBG) range, ot

174 ing chemogenetics to simultaneously decrease neural activity in the orbitofrontal cortex (OFC) and in

175 Given the aim of reading neural activity in the peripheral nervous system, this w

176 Neural activity in the PFC must thus be specialized to s

177 To investigate these mechanisms, we recorded neural activity in the rat hippocampus and prefrontal co

178 voxel pattern analysis (MVPA), we found that neural activity in the reward system of the observer's b

179 We recorded neural activity in the SC of freely echolocating bats (t

180 Neural activity in the ventral pallidum (VP) has been sh

181 Neural activity in vivo is primarily measured using extr

182 imaging method for large-scale recording of neural activity in vivo.

183 We found that ex vivo or in vivo neural activity induced a long-lasting reduction in rest

184 ing motor learning, movements and underlying neural activity initially exhibit large trial-to-trial v

185 ith tetraplegia and anarthria by translating neural activity into control signals for assistive commu

186 eople with neurological deficits by decoding neural activity into control signals for guiding prosthe

187 tal cortex as a target site for transforming neural activity into control signals to command prosthes

188 Persistent neural activity is a putative mechanism for the maintena

189 awake animals show that a large fraction of neural activity is not predictable from the stimulus.

190 New research reveals that neural activity is required for post-natal maturation of

191 ity of physiological processes that underlie neural activity is the greatest hurdle to faster advance

192 Ensemble-specific neural activity is thought to function as a memory engra

193 When the functions through which neural activity is tuned fail to develop or break down,

194 ons (the neurons that transduce chemicals to neural activity), it must figure out which odors are pre

195 ion were associated with greater evidence of neural activity linked to contextual memory encoding.

196 imodal, data-driven, whole-brain measures of neural activity (magnetoencephalography) and connectivit

197 Persistent neural activity maintains information that connects past

198 Recordings in deafened mice, together with neural activity manipulations, indicate that self-genera

199 Our results suggest that understanding the neural activity may require not only knowledge of the ex

200 e, primary components of choice reflected in neural activity may support even more generalizable fore

201 In order to maintain brain function, neural activity needs to be tightly coordinated within t

202 pulations, and recording and manipulation of neural activity noninvasively and at single-neuron resol

203 direction was significantly reduced by PNE, neural activity observed on general STOP trials was larg

204 When tested against the real pattern of neural activity obtained from a different group of subje

205 Changes in neural activity occur in the motor cortex before movemen

206 n LTM consolidation model in which transient neural activities of early labile memory in the MB are c

207 denoised fluorescence traces and deconvolved neural activity of each individual neuron from coarse sc

208 e show that cued memory retrieval reinstates neural activity on a faster timescale than was present d

209 suggest that electrically evoked patterns of neural activity or natural experience can adjust steady-

210 are supported by the dynamic coordination of neural activity over large-scale networks.

211 e show, using two-photon microscopy to track neural activity over multiple days of cerebellum-depende

212 nd how activity-dependent plasticity affects neural activity over time.

213 ranslate DNA-based signals to an estimate of neural activity over time.

214 may underlie general features of sequential neural activity pattern generation in the brain.

215 l findings on sleep-associated memory (i.e., neural activity patterns in sleep that reflect memory pr

216 ive state in the neural population, in which neural activity patterns naturally form clusters, provid

217 tion of discrete episodes from the stream of neural activity patterns representing ongoing experience

218 l is thought to involve the reinstatement of neural activity patterns that occurred previously during

219 The fly circuit assigns similar neural activity patterns to similar odors, so that behav

220 educed inhibitory control results in altered neural activity patterns, enhanced phasic dopamine relea

221 orm a fundamental computational operation on neural activity patterns.

222 Oscillations in neural activity play a critical role in neural computati

223 Neural activity plays a critical role in the development

224 Neural activity plays a key role in pruning aberrant syn

225 SIGNIFICANCE STATEMENT: Neural activity plays a major role in the development of

226 ered taste experience.SIGNIFICANCE STATEMENT Neural activity plays a major role in the development of

227 so to gain insights into how disturbances in neural activity produce movement disorders.

228 sensory neocortex, we found that theta burst neural activity produced an unexpected long-lasting redu

229 using calcium-associated optical signals for neural activity read-out in peripheral nerve axons.

230 ework leads to a new statistical analysis of neural activity recorded during behavior that can identi

231 t, derived from correlative measures such as neural activity recordings.

232 Moreover, how neural activity regulates the spatiotemporal properties

233 Neural activity relies on molecular diffusion within nan

234 icle motion during recycling is regulated by neural activity remains largely unknown.

235 levels were correlated, first, with stronger neural activity representing information to be learnt ab

236 s in wild-type animals, whereas reduction in neural activity rescued the behavioural abnormalities in

237 eving associations should also reinstate the neural activity responsible for semantic processing.

238 We found that changes in neural activity scaled with the length of the conversati

239 ipation to the moment of shock confrontation neural activity shifted from a region anatomically consi

240 Despite recording different aspects of neural activity, similar RSNs were detected by both imag

241 ry midbrain in mouse suppresses sound evoked neural activity, similar to a well-characterized pore bl

242 To identify neural activity specifically associated with contextual

243 reveal specific and important facets of this neural activity that constrain its possible roles in act

244 se effects could be explained by patterns of neural activity that do not represent neural tuning to n

245 ects of memory encoding, leading to aberrant neural activity that is behaviorally detrimental.

246 pproximately 1 Hz), but reliable, changes in neural activity that occurred before marmosets even hear

247 Visual stimuli can evoke waves of neural activity that propagate across the surface of vis

248 mmon change in the excitatory and inhibitory neural activity that regulates alpha oscillations and vi

249 mory retrieval involves the reinstatement of neural activity that was present when we first experienc

250 e spanned by specific patterns of correlated neural activity, the "neural modes." We discuss a model

251 gests that Abeta is associated with aberrant neural activity, the relationships among these two aggre

252 in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution

253 rther demonstrate the ability to process the neural activity to detect hypoxic and gastric extension

254 is of neural recordings with intervention on neural activity to determine definitively whether specif

255 on correlation-based tuning curves relating neural activity to task or movement parameters, but the

256 surement platform, termed DANA (Dopamine And Neural Activity), to measure action potentials (high fre

257 othesis that emotion states function to push neural activity toward rapid and efficient action.

258 mechanisms for the generation of persistent neural activity under pathophysiological conditions, ope

259 ings connecting changes in pupil diameter to neural activity under varying cognitive demand and have

260 ge scale networks and an abnormal pattern of neural activity underlie cognitive dysfunction in PP-MS,

261 The idea that synchronous neural activity underlies cognition has driven an extens

262 ging evidence suggests that reinstatement of neural activity underlies our ability to successfully re

263 It is widely believed that persistent neural activity underlies short-term memory.

264 n and vasopressin in the modulation of human neural activity underlying social cognition, including n

265 This transition in neural activity upon familiarization requires odor-evoke

266 executive function by directly manipulating neural activity using a stimulation technology called hi

267 fect in participants and then recorded their neural activity using magnetoencephalography while they

268 ts of concurrent Meth and sexual behavior on neural activity, using ERK phosphorylation (pERK).

269 ing either "I" or their name while measuring neural activity via ERPs (Study 1) and fMRI (Study 2).

270 non-invasive technique purported to modulate neural activity via weak, externally applied electric fi

271 Differential neural activity was examined between choices classified

272 Population neural activity was extracted at various time intervals

273 Further, population neural activity was found to shift farther from a moveme

274 This pathological neural activity was in turn associated with worse memory

275 Both ML and AL neural activity was modulated by the frequency content o

276 ests, we could assess whether stimulus-bound neural activity was predictive of state or trait variabi

277 cause translational interference can disrupt neural activity, we assessed network activity after a un

278 Importantly, evoked neural activities were modeled by Bayesian inference, wh

279 tion, but it did not delineate whether these neural activities were specifically attributed to vocal

280 Behaviorally, changes in neural activity were accompanied by slower stimulus-rewa

281 Drug concentration-response curves of neural activity were identified in a number of anatomica

282 inistered oxytocin and vasopressin modulated neural activity when receiving negative feedback on task

283 cy with which the stimulus is represented in neural activity, whereas linear encoding model performs

284 o functional circuits to generate persistent neural activity, which interacts with both the graded ex

285 icant (Granger) causal influence on infants' neural activity, which was stronger during direct and di

286 tiated by extracellular K(+) -a byproduct of neural activity-which activates capillary endothelial ce

287 We used magnetoencephalography to measure neural activity while human participants discriminated t

288 he interplay between sensory and vocal-motor neural activity while humans perform this task.

289 We analyzed the spectrum of the neural activity while listening and compared it to the m

290 Here, we measured neural activity while subjects formed simple economic sa

291 Optical methods capable of manipulating neural activity with cellular resolution and millisecond

292 for developing quantitative models that link neural activity with decision making.

293 Here, we recorded neural activity with EEG as subjects performed a two-int

294 Existing extracellular probes record neural activity with excellent spatial and temporal (sub

295 graphy to measure spatiotemporal patterns of neural activity with high temporal resolution during vis

296 Here we measured population neural activity with microelectrode arrays in turtle vis

297 connectivity between two regions affects the neural activity within a participating region.

298 Early methods focused on estimating neural activity within individual voxels or regions, ave

299 Neural activity within the cortical premotor nucleus HVC

300 Neural activity within the frontal eye fields (FEFs) and