ライフサイエンスコーパス: neuroscience

1 of trees, to clinical conditions, to sensory neuroscience.

2 ombinant viruses are the workhorse of modern neuroscience.

3 nectivity maps is an emerging opportunity in neuroscience.

4 techniques in both fundamental and clinical neuroscience.

5 sounds in noise is a major goal in auditory neuroscience.

6 ral networks, commonly used in computational neuroscience.

7 he theoretical assumptions in psychology and neuroscience.

8 ology, personality psychology, and cognitive neuroscience.

9 ting the 50th anniversary of the Society for Neuroscience.

10 ights and benefit the broader field of human neuroscience.

11 ecision-making in psychology, economics, and neuroscience.

12 jective in both psychiatry and translational neuroscience.

13 del that became a cornerstone in theoretical neuroscience.

14 ight of recent data on social interaction in neuroscience.

15 poral and risky decision-making in cognitive neuroscience.

16 ning that have drawn increasing attention in neuroscience.

17 s been dominant for decades in primate motor neuroscience.

18 f a foundational synapse that revolutionized neuroscience.

19 thriving area of research in psychology and neuroscience.

20 dels for human cognition lack connections to neuroscience.

21 nities for the use of these methods in human neuroscience.

22 to professional researchers studying systems neuroscience.

23 will accelerate future method development in neuroscience.

24 at the intersection of machine learning and neuroscience.

25 e than others is a key question in cognitive neuroscience.

26 ach can solve the sample rarity issue in the neuroscience.

27 ndamental nature, with direct application to neuroscience.

28 olution that can improve the very quality of neuroscience.

29 ormation-theoretic analyses in computational neuroscience.

30 ery and vision is a long-standing problem in neuroscience.

31 sents a persistent experimental challenge in neuroscience.

32 accelerated the pace of discovery in visual neuroscience.

33 of neuron types is a fundamental question in neuroscience.

34 ouse, a species increasingly used in enteric neuroscience.

35 is an important model system in contemporary neuroscience.

36 imes or both is an ongoing debate in systems neuroscience.

37 erations constitute a key research target in neuroscience.

38 been a rapidly growing field of interest in neuroscience.

39 ing are enabling new frontiers of real-world neuroscience.

40 iological realism of computational models in neuroscience.

41 litate novel experiments and measurements in neuroscience.

42 complexity from computational and cognitive neuroscience.

43 (AI) is defining new research directions in neuroscience.

44 one of the most essential concerns in modern neuroscience.

45 currently one of the greatest challenges of neuroscience.

46 ambulatory behavior is a major challenge for neuroscience.

47 ut question, molecular biology drives modern neuroscience.

48 uter science, statistics, and, most notably, neuroscience.

49 trate the need for a comparative approach in neuroscience.

50 drug discovery, toxicity, embryogenesis, and neuroscience.

51 or distributed is a foundational question in neuroscience.

52 ith light has transformed modern biology and neuroscience.

53 ks is rarely taken into account in cognitive neuroscience.

54 ns in translational as well as computational neuroscience.

55 nts and each other is a key goal of decision neuroscience.

56 ive theoretical and experimental progress in neuroscience.

57 easingly influential in the field of systems neuroscience.

58 important decision-making model in cognitive neuroscience.

59 emporal resolution are becoming paramount in neuroscience.

60 avior, and its use is becoming widespread in neuroscience.

61 instruct behavioral output is a main goal in neuroscience.

62 ong-standing goal for cognitive and clinical neuroscience.

63 cal processes relevant to basic and clinical neuroscience.

64 isorders and developing new technologies for neuroscience.

65 intensely debated in the field of cognitive neuroscience.

66 ism-scale behavior is a central challenge in neuroscience.

67 become an accepted endeavor in contemporary neuroscience.

68 n in mice remains a barrier for discovery in neuroscience.

69 ng evidence through the lens of sensorimotor neuroscience.

70 dies can lead to advances in embodied social neuroscience.

71 ty represents a fundamental challenge to the neurosciences.

72 Mechanistic modeling in neuroscience aims to explain observed phenomena in terms

73 hnologies offer a new paradigm for affective neuroscience, allowing controlled intervention on consci

74 etics since this technology was adopted from neuroscience and applied to the heart.

75 f understanding drawing equally on cognitive neuroscience and artificial intelligence and exploiting

76 In this paper, we review MTT studies in neuroscience and biologically inspired MTT methods in co

77 ctly from videos, which has quickly impacted neuroscience and biology more broadly.

78 guidelines to inform future research for the neuroscience and broader molecular genetics communities.

79 Outcomes of neuroscience and clinical research into 5-Hydroxytryptam

80 to bridge the gap between research on basic neuroscience and clinical treatment.

81 ging the gap between theory-driven cognitive neuroscience and data-driven decoding approaches, there

82 D) thus providing a new and exciting tool in neuroscience and drug discovery.

83 els of vision dominate in both computational neuroscience and engineering.

84 elerates the discovery of capsids for use in neuroscience and gene-therapy applications.

85 We illustrate PCS inference through neuroscience and genomics projects of our own and others

86 ighlight its wide applicability in cognitive neuroscience and how its openness to further development

87 of the best understood systems in affective neuroscience and is an ideal target for addressing the p

88 onics and materials science, has transformed neuroscience and is informing therapies for neurological

89 ise as an important novel tool for affective neuroscience and its clinical translation.

90 pting to translate advances in computational neuroscience and machine learning into improved outcomes

91 work of particular importance to psychology, neuroscience and machine learning.

92 ferent fields including exercise physiology, neuroscience and metabolism.

93 retinal loss is an important topic in visual neuroscience and neuro-ophthalmology.(1-5) Humans with j

94 neural activity are essential approaches in neuroscience and neurology, but monitoring such procedur

95 BDNF including new data from the behavioral neuroscience and neuropsychiatry literature on fear memo

96 s review, we connect insights from cognitive neuroscience and psychiatry to suggest that the traditio

97 has attracted tremendous interest in social neuroscience and psychiatry.

98 nt learning (CRL) has been widely applied in neuroscience and psychology; however, quantum reinforcem

99 This is especially so in human neuroscience and the brain-based clinical sciences, wher

100 ansformation due to the emergence of network neuroscience and the development of multivariate methods

101 Nonetheless, recent developments in neuroscience and the successes of artificial neural netw

102 This finding, with deep implications for neuroscience and theory of neural networks, has no solid

103 insula (AI) has been emphasized in cognitive neurosciences and been demonstrated to be frequency-depe

104 to describe the burgeoning field of "cancer neuroscience" and encourage multidisciplinary collaborat

105 ial cognition, health psychology, and social neuroscience) and the challenges of boundary crossing (f

106 uding developmental biology, cancer biology, neuroscience, and clinical pathology.

107 well-being research, cognitive and affective neuroscience, and clinical psychology to highlight four

108 s on notable and interesting developments in neuroscience, and particularly in their areas of the fie

109 uss its significance for biology, especially neuroscience, and potential for nanotechnology applicati

110 discuss some of its initial applications to neuroscience, and survey its wider implications for rese

111 nd EYFP) were not specifically optimized for neuroscience, and their underwhelming brightness and slo

112 could provide new insights in other network neuroscience applications.

113 The social neuroscience approach to prejudice investigates the psyc

114 tions that will continue to guide the social neuroscience approach toward addressing major societal i

115 on of global mental health and translational neuroscience approaches could further advance knowledge

116 e unique value of clinical and translational neuroscience approaches for understanding the nature and

117 Two crucial questions in neuroscience are how neurons establish individual identi

118 Experimental studies in neuroscience are producing data at a rapidly increasing

119 Reference lists of neuroscience articles show marked gender imbalances.

120 new research questions that have emerged for neuroscience as a direct consequence of recent advances

121 science, it is subject to ongoing debates in neuroscience as empirical evidence linking network contr

122 f support for team research in investigative neuroscience at different stages and on various scales.

123 s conducted at the Faculty of Psychology and Neuroscience at Maastricht University in the Netherlands

124 We also see neuroscience at the nexus of many societal topics beyond

125 t narratives deserve wider adoption in human neuroscience because they tap into the brain's native ma

126 s suggest expanding the focus of psychiatric neuroscience beyond higher-order brain networks.

127 hanisms of human memory is a central goal of neuroscience, both from the point of view of the fundame

128 It has enabled major breakthroughs in neuroscience but its ultimate function remains surprisin

129 y Cajal have proven foundational for modern neuroscience, but his statement that "In adult centers t

130 This problem is not unique to addiction neuroscience, but it is an increasing source of disappoi

131 refore constitute an advance to the field of neuroscience by extending our knowledge about the models

132 iew follows the pathways that were opened in neuroscience by major discoveries and set the stage for

133 ges from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) cohort - an open-access, populati

134 what constitutes the 'signal of interest' in neuroscience can be controversial, due in part to contin

135 Cognitive neuroscience can be substantially advanced if structured

136 A comparative approach to neuroscience can greatly increase our understanding of h

137 l brains and discuss several ideas about how neuroscience can guide the quest for better inductive bi

138 Useful animal models of disease in neuroscience can make accurate predictions about a thera

139 offer an exemplary case of how experimental neuroscience can progress in tandem with technology and

140 ised placebo-controlled trial at 13 clinical neuroscience centres in the UK.

141 ate whether gendered patterns are present in neuroscience citations.

142 e as a unifying principle across theories in neuroscience, cognitive science, and economics.

143 e of the most commonly used types of data in neuroscience comes from electroencephalography (EEG), wh

144 part of this special issue of the Journal of Neuroscience commemorating the 50th anniversary of SfN,

145 gest a potential for broad deployment to the neuroscience community in the relatively near future.

146 resolution and call upon the broader systems neuroscience community to further develop and leverage m

147 I), and hence it will be useful to the wider neuroscience community.

148 In neuroscience, computational modeling is an effective way

149 The variety of human neuroscience concepts and terminology poses a fundamenta

150 t on our experiences of organizing an online neuroscience conference, neuromatch, that attracted some

151 Traversing visual neuroscience, consciousness science, genetics, chronobio

152 ring and influential models in computational neuroscience, despite apparent falsification of some of

153 reat opportunities for successfully bridging neuroscience discovery to clinical practice.

154 changes, while small, are significant in the neuroscience domain.

155 appreciation for the common aims of systems neuroscience, ecology, and ethology.

156 ing into adaptive curricula can fast-forward neuroscience education at every level.

157 areas of synergy with the potential to link neuroscience education, research, and advocacy.

158 In this NeuroView, we consider emerging neuroscience evidence on how the brain motivates itself

159 intelligence and provide new hypotheses for neuroscience experiments using model systems.

160 d in the design and interpretation of visual neuroscience experiments.

161 mals that are widely studied in the extended neuroscience field.

162 In each section, we discuss key social neuroscience findings, consider interpretational challen

163 ng environments has been at the forefront of neuroscience for decades.

164 a key brain region of interest in cognitive neuroscience founded upon neuropsychological investigati

165 y gender, race, ethnicity, and location from neuroscience funding agencies.

166 Neuroscience has an extraordinary opportunity to investi

167 A long-lasting challenge in neuroscience has been to find a set of principles that c

168 eurons in the mammalian brain, while systems neuroscience has historically analyzed the encoding prop

169 Similarly to many scientific disciplines, neuroscience has increasingly attempted to confront perv

170 tudy for ecology and ethology, while systems neuroscience has largely focused on short timescale beha

171 Network neuroscience has relied on a node-centric network model

172 h at the intersection of computer vision and neuroscience has revealed hierarchical correspondence be

173 Recent studies in neuroscience have begun to independently address the two

174 lectrical signaling dynamics in the field of neuroscience have facilitated functional experiments tha

175 The frontline studies in neuroscience have revealed that synaptic components (e.g

176 hine learning and graph theory techniques to neuroscience have witnessed an increased interest in the

177 Within sensory neuroscience, he was fascinated by the evolution of sens

178 Sciences, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Techno

179 Sciences, State Key Laboratory of Molecular Neuroscience, Hong Kong, University of Science and Techn

180 Recent evidence from social neuroscience, however, does not support this notion of c

181 on is an important aspect of many studies in neuroscience; however, it often lacks information about

182 sible and accessible technique for cognitive neuroscience in awake and behaving human infants.

183 ble not only to optoretinography but also to neuroscience in general.

184 We utilised the Neuroscience in Psychiatry Network (NSPN), a cohort of y

185 Optogenetics has revolutionized neuroscience in small laboratory animals, but its effect

186 he origins of ethology, ecology, and systems neuroscience in the context of our own work and highligh

187 n research as a major strength in Australian neuroscience in the second half of the 20th century.

188 s-sections of psychology, economics, and the neurosciences include an increased focus on group hetero

189 Optogenetics has revolutionized the neurosciences, increased our understanding of cellular s

190 mble clues from disparate areas of cognitive neuroscience, integrating recent research on language, m

191 pology, biology, musicology, psychology, and neuroscience into a unified framework that accounts for

192 ns will be critical for future translational neuroscience investigations of cognitive and behavioral

193 An enduring problem in neuroscience is determining whether cases of amnesia res

194 IFICANCE STATEMENT A fundamental question in neuroscience is how neuronal feature selectivity is esta

195 A fundamental question in sensory neuroscience is how perceptual experience arises from th

196 IFICANCE STATEMENT A fundamental question in neuroscience is how prior knowledge shapes perceptual pr

197 in fields such as computational biology and neuroscience is often intractable to compute analyticall

198 Neuroscience is one of the fastest growing fields and hi

199 A fundamental question in psychology and neuroscience is the extent to which cognitive and neural

200 Of particular interest to neuroscience is the loss of consciousness that accompani

201 A core goal of visual neuroscience is to predict human perceptual performance

202 An important problem in computational neuroscience is to understand how networks of spiking ne

203 A chief goal in neuroscience is to understand how neuronal activity rela

204 A key, long-standing question in neuroscience is to understand the neural correlates of s

205 A long-standing challenge in motor neuroscience is to understand the relationship between m

206 A longstanding question in sensory neuroscience is what types of stimuli drive neurons to f

207 encodes maps of space and a key question in neuroscience is whether its spatial coding principles al

208 A fundamental challenge in neuroscience is, How can we use behavior and neural acti

209 Using data from five top neuroscience journals, we find that reference lists tend

210 ld standardize cranial microsurgeries across neuroscience laboratories and democratize the more chall

211 que for functional localization in cognitive neuroscience, lesion-deficit mapping is in practice dist

212 rk communication in the brain with classical neuroscience methods and demonstrate possible ways of ho

213 rovides insights into a parsimonious systems neuroscience model of cognitive control deficits in ADHD

214 in various physical applications, including neuroscience, network design, biological systems, socio-

215 f sensory science, food science, psychology, neuroscience, nutrition, and health sciences to explore

216 ome and neurophysiological technologies, the neuroscience of brain-wide neural circuits is poised to

217 highlight the need for new approaches to the neuroscience of consciousness.

218 System neuroscience of motor cognition regarding the space beyo

219 Advances in sports sciences and neurosciences offer new opportunities to design efficien

220 having monkey, for ethological, behavioural, neuroscience or welfare purposes.

221 Professional neuroscience organizations have recently pledged their c

222 cent advances in cognitive science and motor neuroscience, our framework provides testable prediction

223 ent, have become powerful tools in cognitive neuroscience over the past decade.

224 ral bases of social cognition from a systems neuroscience perspective.

225 We explore an intensely debated problem in neuroscience, psychology and philosophy: the degree to w

226 es in several branches of science, including neuroscience, psychology, ethology, and medicine.

227 provide a useful tool to address fundamental neuroscience questions, but could also be applied to neu

228 tial (or even prerequisite) step to pursuing neuroscience questions.

229 st research paper appeared in the Journal of Neuroscience (Quirk et al., 2000) and has been cited >90

230 To compare findings across species, neuroscience relies on cross-species homologies, particu

231 The traditional approach in neuroscience relies on encoding models where brain respo

232 Neuroscience relies on techniques for imaging the struct

233 the use of subunit-selective antagonists in neuroscience research and envisioned therapeutic interve

234 In reviewing existing systems and neuroscience research and theorizing on these questions,

235 tress and depressive-like behaviors in basic neuroscience research have been associated with impairme

236 our goal is to offer a road map for systems neuroscience research in the age of deep learning.

237 s made by basic, translational, and clinical neuroscience research in the next 50 years have great po

238 The African Ancestry Neuroscience Research Initiative will seek to generate m

239 Neuroscience research is undergoing a minor revolution.

240 However, network neuroscience research suggests that there is an imperfec

241 h, including populations underrepresented in neuroscience research to date, will enlarge and diversif

242 There exists little human neuroscience research to explain why some individuals lo

243 he Society was founded 50 years ago to bring neuroscience research under a common banner, sensory res

244 undeniably exciting, and insights from human neuroscience research will bring us closer to interactin

245 ila melanogaster is an established model for neuroscience research with relevance in biology and medi

246 vironments and has implications for decision neuroscience research.

247 nt influence of SCI on cerebral function and neuroscience research.

248 re systems are being developed to facilitate neuroscience research.

249 s, suggest a potential for broad adoption in neuroscience research.

250 les makes it a unique tool for translational neuroscience research.

251 memories remains a fundamental question for neuroscience research.

252 represents a central driving force in modern neuroscience research.

253 Neuroscience, social sciences, and the humanities can be

254 One emerging concept in neuroscience states that synaptic vesicles and the molec

255 The increasing use of dogs for non-invasive neuroscience studies has generating a need for a standar

256 s of the use of these technologies in recent neuroscience studies illustrate their practical value.

257 he brain-computer interface technologies and neuroscience studies involving chronic tracking of neura

258 al variation in physiology and function, but neuroscience studies rarely report or consider the effec

259 Reach Cage allows systems-level sensorimotor neuroscience studies with full-body movements in a confi

260 in the footsteps of other large "population neuroscience" studies, the Adolescent Brain Cognitive De

261 for aligning clinical and preclinical (basic neuroscience) studies of neuropsychiatric illness.

262 udiometry and cognitive testing as part of a neuroscience substudy the MRC National Survey of Health

263 ude a brief summary of existing and emerging neuroscience techniques, as background for a primary foc

264 model animals and humans is a major goal of neuroscience technology development.

265 relationships and neural correlates of 7547 neuroscience terms across 13 459 neuroimaging publicatio

266 or challenges for the field of translational neuroscience that necessitate continued focus on fundame

267 ntrollability is a recent concept in network neuroscience that purports to predict the influence of i

268 Despite recent advances in systems neuroscience, the biological basis underlying visuomotor

269 In neuroscience, the rarity of brain tissue is the bottlene

270 cium imaging has become a mainstay of modern neuroscience, the spectral properties of current fluores

271 f conceptual structure, and inform cognitive neuroscience theories of conceptual combination by highl

272 Within the field of developmental cognitive neuroscience, there is an increasing interest in studyin

273 re is tremendous potential for translational neuroscience to advance our understanding of these disor

274 ntegrating developmental psychopathology and neuroscience to facilitate future research and clinical

275 tions, leveraging advances made in cognitive neuroscience to link different levels of description wit

276 e functional connectivity is used throughout neuroscience to study brain organization and to generate

277 roanatomy, machine learning, and theoretical neuroscience to suggest random sparse connectivity as a

278 access; they constitute a broadly applicable neuroscience toolbox resource for researchers seeking to

279 Recently, an array of powerful new neuroscience tools have provided unprecedented access to

280 hieve this, the field must incorporate human neuroscience tools including mobile neuroimaging to expl

281 en studied with the myriad of modern systems neuroscience tools that have been made available by the

282 hese efforts have resulted in already-useful neuroscience tools, including high-resolution hemodynami

283 Contributions to a network neuroscience understanding of status perception and impl

284 take a step towards a more real-world motor neuroscience using wearables for naturalistic full-body

285 these signals hold great promise to advance neuroscience via real-world data.

286 ne publication date for the Annual Review of Neuroscience, Volume 43 is July 8, 2020.

287 Around the same time as the Society for Neuroscience was being established in the 1960s, the fir

288 The first issue of Nature Reviews Neuroscience was published 20 years ago, in 2000.

289 ng back at highlights in the field of visual neuroscience we can better define remaining gaps in our

290 Focusing on neuroscience, we discuss approaches to address some of t

291 ation of the 50th anniversary of Society for Neuroscience, we provide a historical perspective, follo

292 On the 50th anniversary of the Society for Neuroscience, we reflect on the remarkable progress that

293 Using tools typically employed in systems neuroscience, we show that this minimal change in initia

294 important advance for both ophthalmology and neuroscience, which may lead to novel disease biomarkers

295 ool to study defensive behavior in affective neuroscience with relevance to a broad range of neuropsy

296 up bias by integrating models and methods of neuroscience with the social psychology of prejudice, st

297 ing features prominently in visual cognitive neuroscience, with fMRI studies showing that this distin

298 Here, we review epidemiological and basic neuroscience work from the past several decades linking

299 nterventions could be implemented to enhance neuroscience workforce diversity.

300 n regions is fundamental for the progress of neuroscience, yet is a major technical challenge.