ライフサイエンスコーパス: neuroscience

1 8 years; the Cambridge Centre for Ageing and Neuroscience).

2 ew routes to drug discovery, particularly in neuroscience.

3 t computations is a fundamental challenge in neuroscience.

4 rent steps of memory is of major interest in neuroscience.

5 transmitting information is a major goal in neuroscience.

6 the most fundamental and important goals of neuroscience.

7 epresents a major challenge facing cognitive neuroscience.

8 of the human cortex is fundamental in modern neuroscience.

9 statistical power is low across the field of neuroscience.

10 intersect with our current understanding of neuroscience.

11 standing of fundamental importance in modern neuroscience.

12 of this approach in basic and translational neuroscience.

13 volitional acts proves a major challenge for neuroscience.

14 retrieval of memories is a major interest in neuroscience.

15 pplicability of Granger causality methods in neuroscience.

16 ns have become key model organisms in modern neuroscience.

17 topic, but not widely accepted in mainstream neuroscience.

18 sensory processing is an important topic in neuroscience.

19 se performance may be expected for cognitive neuroscience.

20 integration and understanding of big data in neuroscience.

21 of the world is a central quest for sensory neuroscience.

22 great basic and translational relevance for neuroscience.

23 biology, anatomical science, biophysics and neuroscience.

24 fter real-life trauma derived from cognitive neuroscience.

25 cal power is common across most subfields in neuroscience.

26 imaging is a universal tool in oncology and neuroscience.

27 te-associated biomarkers for clinical social neuroscience.

28 n of long-standing interest in computational neuroscience.

29 y is a fundamental question in developmental neuroscience.

30 e (days-weeks) remains a major challenge for neuroscience.

31 cal for addressing many questions in systems neuroscience.

32 es of consciousness is a grand challenge for neuroscience.

33 ent model system in various areas of sensory neuroscience.

34 ivity in the live brain is a crucial goal in neuroscience.

35 anization of the cortex is a primary goal in neuroscience.

36 sensory uptake is a fundamental question in neuroscience.

37 ges has been a long-standing goal of systems neuroscience.

38 ilable and are now widely applied in network neuroscience.

39 elopmental biology, gene family studies, and neuroscience.

40 is an essential but under-explored topic in neuroscience.

41 nly recently garnered interest in mainstream neuroscience.

42 m and informs disease-relevant translational neuroscience.

43 idea is lacking despite its recent impact in neuroscience.

44 elected is a fundamental question in systems neuroscience.

45 real map has been a century-old objective in neuroscience.

46 togenetic tools have been transformative for neuroscience.

47 physiology has largely remained a bastion of neuroscience.

48 uroeconomics, embodied cognition, and social neuroscience.

49 ith cell type specificity is a major goal of neuroscience.

50 ke one's own limb is a major goal in applied neuroscience.

51 h to make important advances in the field of neuroscience.

52 ty has drawn major interest in computational neuroscience.

53 virology, circadian rhythms, and behavioural neuroscience.

54 function is a fundamental problem in network neuroscience.

55 tensive body of research in human and animal neuroscience.

56 t the history of neuropharmacology and basic neuroscience.

57 asingly reported, especially in the field of neuroscience.

58 e methods have become more widely applied in neuroscience.

59 lopmental biology, regenerative medicine and neuroscience.

60 gest and most exciting challenges of systems neuroscience.

61 ance of distinct functions is fundamental in neuroscience.

62 xternal sensory inputs is widely accepted in neuroscience.

63 anging applications in molecular studies and neuroscience.

64 rther understood for both basic and clinical neuroscience.

65 se genome editing in basic and translational neuroscience.

66 al of aptamers as valuable research tools in neurosciences.

67 s are made has become a central theme in the neurosciences.

68 he diffusion decision model in the cognitive neurosciences.

69 is at the interface of affective and social neurosciences.

70 the most fascinating topics in the cognitive neurosciences.

71 the connectome, has gained a central role in neurosciences.

72 s has been dubbed the "dark matter of social neuroscience" [2].

73 subject of this commentary in the Journal of Neuroscience: a highly detailed anatomical description o

74 Neuroscience advances have brought important ethical que

75 The fields of neuroscience and artificial intelligence (AI) have a lon

76 We review emerging trends in network neuroscience and attempt to chart a path toward a better

77 ay open new avenues of research in cognitive neuroscience and clinical neuropsychiatry.SIGNIFICANCE S

78 an important model organism for the study of neuroscience and development.

79 nfigured in multiple contexts of interest to neuroscience and developmental biology.

80 Studies bridging neuroscience and immunology have identified neural pathw

81 l structures has long been a central goal in neuroscience and is a necessary first step toward a circ

82 ndamental outstanding question in cerebellar neuroscience and is consistent with a prominent role for

83 d relevant for physiology, psychophysiology, neuroscience and pathophysiology.

84 The presentation draws on computational neuroscience and pharmacologic and genetic studies in an

85 brain and likely of particular relevance for neuroscience and psychiatric disorders.

86 841 statistical records from 3,801 cognitive neuroscience and psychology papers published recently.

87 y open up new possibilities in motor systems neuroscience and rehabilitation.

88 intended to highlight the advances in modern neuroscience and to depict the chasms in our understandi

89 ll as drug discovery, developmental biology, neuroscience, and cancer research.

90 Considerable research in cognitive science, neuroscience, and developmental science has revealed tha

91 What can artificial intelligence learn from neuroscience, and vice versa?

92 ic that this new policy will be valuable for neuroscience, and we suggest some ways for neuroscientis

93 f the Mini-Symposium at the 2017 Society for Neuroscience Annual Meeting.

94 function of sleep is a general principle of neuroscience, applicable to every creature with a nervou

95 eins of microbial origin are of interest for neuroscience applications, where expression and localiza

96 cules to mammalian systems, particularly for neuroscience applications.

97 particularistic and mechanistic evolutionary neuroscience approach to cumulative culture, taking into

98 We use an evolutionary neuroscience approach to develop the adaptive capacity m

99 Two long-standing questions in neuroscience are how sleep promotes brain plasticity and

100 standing of physiology, most recently in the neuroscience arena.

101 es and for the role of causality analyses in neuroscience as a whole.

102 These findings value social neuroscience as an innovative procedure to gain new insi

103 tribute to the EEG is essential for clinical neuroscience as an objective basis for AR segmentation a

104 plications of synthetic organic chemistry to neuroscience, avoiding the more-traveled paths was richl

105 As such, the value of neuroscience-based cardiovascular therapeutics is increa

106 ld provide a powerful means of personalizing neuroscience-based interventions to modify attention bia

107 This is especially important in neuroscience because individual brain regions can includ

108 ory (WM) is a central construct in cognitive neuroscience because it comprises mechanisms of active i

109 tal problem in comparative and computational neuroscience, because small brains are expected to have

110 ask: Is the great diversity of questions in neuroscience best studied in only a handful of animal mo

111 ttention so that progress can be achieved in neuroscience beyond a description of the activity of neu

112 le electrical probes have led to advances in neuroscience, brain-machine interfaces, and treatment of

113 f fundamental interest in basic and clinical neuroscience, but how specific cell types shape these dy

114 vely in behavioral ecology and computational neuroscience, but is relatively new to the field of psyc

115 s) are an important source of information in neuroscience, but their physiological basis is in many c

116 orces with recent developments in the social neuroscience by drawing psychological conclusions from b

117 optical imaging methods have revolutionized neuroscience by enabling systematic recordings of neuron

118 ars) from the Cambridge Centre for Aging and Neuroscience (Cam-CAN) was scanned using functional MRI

119 The workshops revealed that neuroscience can be used to improve identification of th

120 to see if popular data analysis methods from neuroscience can elucidate the way it processes informat

121 short term, it acts to limit the impact that neuroscience can have on real-world problems.

122 Giza et al., discuss how neuroscience can provide balance between physical activi

123 er prepare trainees and advance diversity in neuroscience, career development must move beyond scient

124 and September 2015 at the Marcus Stroke and Neuroscience Center at Grady Memorial Hospital, Atlanta,

125 ed trial of patients with SPMS done at three neuroscience centres in the UK between Jan 28, 2008, and

126 euroNEXT (National Network for Excellence in Neuroscience Clinical Trials) Network.

127 rtnership between Western and Middle Eastern neuroscience communities.

128 nts a valuable source of information for the neuroscience community as a comparative instrument to as

129 become widely available for analysis by the neuroscience community at large, alternative and perhaps

130 at they will become more broadly used by the neuroscience community to eavesdrop on brain activity wi

131 n, the NVU has attracted the interest of the neuroscience community, resulting in considerable advanc

132 pens up a host of novel applications for the neuroscience community.

133 suggest that future molecular approaches in neuroscience consider the intervening level of cellular

134 more nuanced picture of statistical power in neuroscience could affect not only scientific understand

135 Progress in modern neuroscience critically depends on our ability to observ

136 utionary theory, a recent model in affective neuroscience delineated six emotional brain systems at t

137 sed on advanced functional nanomaterials for neuroscience diagnostics, clinical, point-of-care diagno

138 hich fluorinated small molecules relevant to neuroscience drug development can be prepared in a stere

139 oughput format could be highly impactful for neuroscience drug discovery.

140 This approach has proven difficult in neuroscience due to the marked diversity across differen

141 tivariate methods, have particular appeal in neuroscience due to the prevalence of oscillatory phenom

142 often remain elusive, as in climate science, neuroscience, ecology, finance, and epidemiology, to nam

143 MRI (fMRI) has revolutionized all fields of neuroscience, enabling identifications of functional mod

144 odeling complex systems in physics, biology, neuroscience, engineering, and social science.

145 An extensive literature from cognitive neuroscience examines the neural representation of value

146 our technique to an in silico motor control neuroscience experiment, using the algorithm to estimate

147 es a major potential confound for behavioral neuroscience experiments, at least in adult rats where S

148 The neuroscience field is steaming ahead, fueled by a revolu

149 y historical interactions between the AI and neuroscience fields and emphasize current advances in AI

150 r endemically low statistical power has cast neuroscience findings into doubt.

151 portant audiences that are positioned to use neuroscience findings to affect policy and improve socie

152 ders has been a major goal of psychology and neuroscience for decades.

153 contrast has gained a prominent position in neuroscience for imaging neuronal activity and studying

154 Observations: Any contemporary neuroscience formulation of PTSD should include an under

155 chiatry is being transformed by contemporary neuroscience, genomics, and digital approaches.

156 The advent of modern tools in neuroscience has allowed further dissection of these reg

157 A long-standing goal of neuroscience has been to understand how computations are

158 Although most basic and applied research in neuroscience has focused on the brain, the proximity of

159 research at the frontiers of immunology and neuroscience has identified multiple points of interacti

160 This "crowdsourcing" approach to team neuroscience has unprecedented power for advancing our u

161 Recent advances in movement neuroscience have consistently highlighted that the nerv

162 Advances in genomics, epidemiology, and neuroscience have led to great progress in understanding

163 Analysis methods in cognitive neuroscience have not always matched the richness of fMR

164 nities, recent developments in computational neuroscience have used goal-driven hierarchical convolut

165 nceptual advances in both basic and clinical neurosciences have expanded the traditional view of home

166 The visual neurosciences have made enormous progress in recent deca

167 clinical studies and insights from the basic neurosciences have shed important new light on how sleep

168 omises to unravel a long-standing mystery in neuroscience: how does microcircuit activity relate caus

169 "kernel of truth." Recent research in social neuroscience, however, contradicts Lee Jussims' (2012) c

170 hs of inactivity, thereby supporting a major neuroscience hypothesis in a normal context for an adult

171 ealth of both patients and caregivers in the neuroscience ICU is a priority and that patients and the

172 ant professor or independent investigator in neuroscience in an academic institution or research inst

173 d with the diagnostic and prognostic uses of neuroscience in problem gambling and the provision of no

174 These findings point to a role for neuroscience in shaping long-standing psychological theo

175 Modern neuroscience increasingly relies on custom-developed sof

176 e perspectives contribute to an integrative, neuroscience-informed approach to case formulation and t

177 in neuroimaging studies of WM and provide a neuroscience-informed framework for personalized and pub

178 Members of the Integrative Neuroscience Initiative on Alcoholism (INIA-Neuroimmune)

179 Members of the Integrative Neuroscience Initiative on Alcoholism (INIA-Neuroimmune)

180 review summarizes how preclinical affective neuroscience initiatives are making progress in decoding

181 In this era of technology-driven global neuroscience initiatives, the role of the neurotechnolog

182 is incompatible with the objectives of many neuroscience investigations, leading to highly counterin

183 Traditional cognitive neuroscience is based on studying single individuals in

184 The field of neuroscience is enjoying a rapid expansion in scope, cou

185 Neuroscience is entering a collaborative era in which po

186 A longstanding question in cellular neuroscience is how microtubules in the axon become orga

187 An important question in neuroscience is how stem cells generate neuronal diversi

188 Neuroscience is inherently interdisciplinary in its ques

189 A central tenet of systems neuroscience is that the mammalian hippocampus provides

190 ver, a significant theoretical limitation in neuroscience is the ambiguity in interpreting the source

191 mitation of multivariate pattern analysis in neuroscience is the ambiguity in interpreting the source

192 A central goal of cognitive neuroscience is to decode human brain activity-that is,

193 of the more tractable goals of quantitative neuroscience is to develop predictive models that relate

194 n important outstanding question in auditory neuroscience is to identify the mechanisms by which spec

195 A central goal in theoretical neuroscience is to predict the response properties of se

196 t the interface of developmental and systems neuroscience is to relate this spatiotemporal trajectory

197 A central effort of today's neuroscience is to study the brain's 'wiring diagram'.

198 A central question in neuroscience is to understand how noisy firing patterns

199 A fundamental goal of clinical neuroscience is to understand the mechanisms allowing pe

200 A great challenge in neuroscience is understanding how activity in the brain

201 A fundamental problem in neuroscience is understanding how sequences of action po

202 Broader application of this approach in neuroscience is, however, hindered by a limited variety

203 The rate of progress in human neurosciences is limited by the inability to easily appl

204 The accepted view in the basic and clinical neurosciences is that the clearance of axonal and myelin

205 amount of knowledge and data accruing in the neurosciences, is it time to formulate a general princip

206 to be accessible by a substantial number of neuroscience laboratories, and it enables labs that are

207 neural information processing has dominated neuroscience like no other theoretical concept within th

208 We highlight emerging work from the clinical neuroscience literature examining neural correlates of E

209 ost investigations in the field of affective neuroscience mainly focused on the processing of facial

210 I review literature from social psychology, neuroscience, management, and animal research and propos

211 tribution and suggest ways in which auditory neuroscience may be advanced by connecting early sound r

212 Advances in network neuroscience may benefit from developing new frameworks

213 This suggests current analytic approaches in neuroscience may fall short of producing meaningful unde

214 ized tools for neuroimaging studies or other neuroscience methods, such as image registration, image

215 olution in genetics and device technologies, neuroscience might be ready to diversify again, if provi

216 dy points to the need for paradigm shifts in neuroscience modeling: greater emphasis on population dy

217 iscussed, and the relevance of this topic to neuroscience more generally is considered.

218 a daunting (but stimulating) path ahead for neuroscience more generally.

219 In neuroscience, non-invasive imaging tools are extensively

220 has been a major challenge for the cognitive neuroscience of executive functions.

221 es a promising new method to investigate the neuroscience of group interactions in ecologically natur

222 tant as they firmly link sleepwalking to the neuroscience of motor control and motor awareness and ma

223 te a question relevant to the psychology and neuroscience of perceptual decision-making: whether deci

224 We review the psychology and neuroscience of reinforcement learning (RL), which has e

225 opportunity to integrate the biophysics and neuroscience of sensory systems with ecological and evol

226 Particular challenges of research on the neuroscience of SES are discussed, and the relevance of

227 cumspect approach to causal inference in the neuroscience of stress.

228 m 176 patients admitted to the Department of Neurosciences of the University of Padua, Padova, Italy,

229 Recent advances in zebrafish neuroscience offer new opportunities to dissect such cir

230 omprehensive picture of statistical power in neuroscience: on average, studies are indeed underpowere

231 huge amount of data generated in fields like neuroscience or finance calls for effective strategies t

232 In neuroscience, our premier example, networks made up of b

233 tion to predictions generated by theoretical neuroscience, particularly computational models predicti

234 The Affective Neuroscience Personality Scales (ANPS) assess their func

235 ary approach for how to incorporate a modern neuroscience perspective into an integrative case formul

236 esearchers in the fields of Medical Imaging, Neuroscience, Physiology, and Psychology.

237 anding dichotomy in cognitive psychology and neuroscience pits controlled, top-down driven behavior a

238 ular potential for STED imaging experiments: neuroscience, plasma membrane biophysics, and subcellula

239 ence with stereotaxic surgery and behavioral neuroscience practices.

240 A currently popular theory in neuroscience, predictive coding theory, suggests that th

241 Network neuroscience proposes to tackle these enduring challenge

242 explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze an

243 knowledge critical to addressing fundamental neuroscience questions including the structure-function

244 t to spacetime in physics, space and time in neuroscience remain separate coordinates to which we att

245 Therefore, whereas power in neuroscience remains a critical issue, the notion that s

246 obes into the brain has been central to both neuroscience research and biomedical applications, altho

247 ectrical stimulation is an important tool in neuroscience research and clinically.

248 us (AAV), a vector that has shown promise in neuroscience research and the clinic.

249 Decades of cognitive neuroscience research have revealed two basic facts rega

250 roscopy (EM) imaging has greatly facilitated neuroscience research in high-throughput data acquisitio

251 derway-the diversity of species utilized for neuroscience research is sharply declining, as the field

252 e the clinical and policy-related effects of neuroscience research on gambling.

253 NIFICANCE STATEMENT To date, most behavioral neuroscience research on neural mechanisms of decision m

254 We propose that neuroscience research suggests that a similar approach n

255 To contribute to MR translational neuroscience research, a brain template and an atlas are

256 ince been studied in many different areas of neuroscience research, including sleep/wake regulation,

257 Optogenetics, a widely used technique in neuroscience research, is often limited by its invasive

258 paper has had a surprisingly broad impact on neuroscience research, particularly since it was origina

259 are ever more compelling tools available for neuroscience research, ranging from selective genetic ta

260 This has been particularly noticeable in neuroscience research, where microfluidic platforms made

261 y that integrates clinical and translational neuroscience research.

262 three dimensions will accelerate the pace of neuroscience research.

263 ent of eye movements is an important tool in neuroscience research.

264 potentially policy and funding decisions for neuroscience research.

265 ential for wider applications in Nav-related neuroscience research.

266 In our Society for Neuroscience (SFN) session entitled "Circuit and Synapti

267 A new cognitive computational neuroscience should build cognitive-level and neural-lev

268 hose that are routinely studied in cognitive neuroscience, such as attention and, as argued in this e

269 thesis, a guiding principle in computational neuroscience, suggests that a neuron or population of ne

270 We evaluate evidence from neuroscience supporting the existence of at least partly

271 ications ranging from infectious diseases to neuroscience targets.

272 -cell patch clamping in vivo is an important neuroscience technique that uniquely provides access to

273 lts define a previously unknown principle in neuroscience; thalamic control of functional cortical co

274 th disciplines, power was lower in cognitive neuroscience than in psychology.

275 e advances in neuroimaging and computational neuroscience that contribute enormously to this area, an

276 The application of new methods in neuroscience that enable the analysis of genetically def

277 less brain-centric and mechanistic cognitive neuroscience that focuses on relations and interactions

278 represents a tractable challenge in sensory neuroscience that has so far evaded full explanation.

279 There is a popular belief in neuroscience that we are primarily data limited, and tha

280 his review focuses on recent advances in the neurosciences that converge with the broader field of im

281 However, outside of neuroscience, the impact of optogenetics has been limite

282 The article is organized around key neuroscience "themes" most relevant for PTSD.

283 If low statistical power plagues neuroscience, then this reduces confidence in the report

284 amed in the sensory perception and cognitive neuroscience theories.

285 from these models, as done in computational neuroscience to analyze statistical properties of neuron

286 some of the obstacles on the road from basic neuroscience to better health and will ultimately serve

287 ntly been used within the field of affective neuroscience to classify distributed patterns of brain a

288 al relevance to diverse fields, ranging from neuroscience to engineering.

289 It is a great challenge for neuroscience to reveal the cellular basis of cognitive f

290 can be attributed to the development of new neuroscience tools that have enabled high-precision inte

291 Drawing on computational models from basic neuroscience, Vaghi and colleagues (2017) suggest a quan

292 The field of cognitive neuroscience was transformed by the discovery that exerc

293 Regarding neuroscience, we found that ExM enabled the tracing of f

294 By drawing inspiration from systems neuroscience, we introduce a probabilistic generative mo

295 us, we advocate a more pluralistic notion of neuroscience when it comes to the brain-behavior relatio

296 ognitive science, but also for computational neuroscience, whose ultimate goal is to understand how c

297 Studies in neuroscience with other forms of attention, however, sug

298 a fundamental organizing principle in visual neuroscience, with each successive processing stage bein

299 l types in the brain is an essential goal of neuroscience, with many emerging technologies helping to

300 it varies substantially across subfields of neuroscience, with particularly low power in candidate g