ライフサイエンスコーパス: neuroscientific

1 es between the two, making a theoretical and neuroscientific account for their integration into model

2 cial for developing complete theoretical and neuroscientific accounts of altruistic behavior and more

3 cience fiction, but recent technological and neuroscientific advances have begun to make this possibl

4 is narrative, using specific examples of how neuroscientific advances have contributed to progress in

5 new approach integrating psychometrics with neuroscientific advances in identifying the computations

6 lue; and 3) clinical scales that incorporate neuroscientific advances in our understanding of anhedon

7 Recent neuroscientific advances offer the potential to develop

8 Neuroscientific analyses balance between capturing the b

9 searching archived FFPE specimens for future neuroscientific and 3D neuropathological analyses.

10 Whereas extensive neuroscientific and behavioral evidence has confirmed a

11 animal data across many seemingly disparate neuroscientific and behavioral phenomena.

12 ple preparations, offering new dimensions to neuroscientific and biomedical research.

13 This article overviews a set of interrelated neuroscientific and clinical hypotheses, models, experim

14 can be powerful due to the accessibility to neuroscientific and genetic approaches, but these are ha

15 Emerging neuroscientific and genetic findings emphasize the dimen

16 Neuroscientific and genetics research have yet to affect

17 utero life in shaping postnatal outcomes of neuroscientific and public health importance.

18 lation of region-specific brain circuits for neuroscientific and therapeutic applications.

19 Here, we integrate cognitive, neuroscientific, and computational approaches to underst

20 gh level of precision across a wide range of neuroscientific applications.

21 nding and essential questions using a modern neuroscientific approach that draws on diverse fields su

22 ure in the normative brain is critical for a neuroscientific approach to both typical and atypical ea

23 cross several model species, framing a broad neuroscientific approach to explore topics of neural ada

24 develop a truly social, or 'second-person', neuroscientific approach to these investigations in whic

25 d in SZ, we review evidence from an array of neuroscientific approaches addressing how these cognitiv

26 f personality, integrating psychological and neuroscientific approaches to personality in a testable

27 pite societal debates, few studies have used neuroscientific approaches to validate the claims empiri

28 The neuroscientific basis for this olfactory language 'defic

29 make full use of the evidence available from neuroscientific, behavioral and societal levels of resea

30 r multidisciplinary research that integrates neuroscientific, behavioral, clinical, and sociocultural

31 ion modulator, which will broadly enable new neuroscientific, biological, neurological and psychiatri

32 our technique opens the avenue of predicting neuroscientific biomarkers of annotators, expanding the

33 Neuroscientific buzzwords, such as 'brain hacks', have b

34 Our findings have important neuroscientific, clinical and developmental significance

35 ion, these data are of broad interest to the neuroscientific community because we have shown that pro

36 le has become an increasing focus within the neuroscientific community due to its variation across di

37 We encourage the neuroscientific community to take an integrative approac

38 These data are of broad interest to the neuroscientific community, and the results will inspire

39 speech development; and support an emerging neuroscientific consensus which assigns a central role f

40 h prior work, and relevant computational and neuroscientific considerations; some argued for related

41 al Reports, another journal with significant neuroscientific content, was published between 1871 and

42 t practices, including psychotherapy, into a neuroscientific context may ultimately prove more useful

43 With the rapid accumulation of neuroscientific data comes a pressing need to develop mo

44 ing neural responses to sensory stimulation, neuroscientific data could complement behavioral results

45 Corresponding neuroscientific data from both animals and humans implic

46 Detailed neuroscientific data from macaque monkeys have been esse

47 They enhance the interpretation of neuroscientific data obtained under anesthesia and the u

48 e accounts explain a range of behavioral and neuroscientific data on language processing and discuss

49 Behavioral and neuroscientific data on reward-based decision making poi

50 ion properties, and then review the relevant neuroscientific data on which mechanism brains actually

51 gs potentially broaden the possibilities for neuroscientific data to inform legal decision-making acr

52 , accessing, and visualizing a wide range of neuroscientific data.

53 p in the analysis and integration of diverse neuroscientific data.

54 y subjects, and thus also contributes to the neuroscientific debate on the neural correlates of consc

55 Our neuroscientific decision add-on intervention strongly in

56 Here, we consider how neuroscientific discoveries are thematically represented

57 These findings point toward a role for neuroscientific discoveries in shaping long-standing eco

58 The neuromodulation device may help advance neuroscientific discovery and preclinical investigations

59 ssemination and use of new data analyses for neuroscientific discovery.

60 grated, end-to-end solutions that accelerate neuroscientific discovery.

61 ne of the enduring questions that has driven neuroscientific enquiry in the last century has been the

62 patterns as they unfold in the brain, aiding neuroscientific enquiry into dynamic cognition.

63 Neuroscientific, epidemiological, and electronic health

64 tailed predictions) and by examining how the neuroscientific evidence coheres with our account.

65 IFG provides neuroscientific evidence consistent with the claims made

66 Language behaviour is complex, but neuroscientific evidence disentangles it into distinct c

67 Our results provide clear neuroscientific evidence for the systematic dissociation

68 strain second language acquisition; however, neuroscientific evidence for this is scant, and even les

69 Here we provide neuroscientific evidence for this proposal.

70 Converging neuroscientific evidence has suggested that the neuropat

71 Theoretical works in social psychology and neuroscientific evidence have proposed that social rewar

72 A wealth of neuroscientific evidence indicates that our brains respo

73 advanced substantially since 2000, with new neuroscientific evidence linking early adversity and nur

74 More broadly, we argue that neuroscientific evidence plays a critical role in unders

75 Here we review the available neuroscientific evidence regarding self-regulation and i

76 We review the neuroscientific evidence supporting this approach, and d

77 These results provide neuroscientific evidence that rhythmic arm movement cann

78 The neuroscientific examination of music processing in audio

79 A neuroscientific experiment typically generates a large a

80 tations in humans is not known, because most neuroscientific experiments on human navigation have foc

81 tegrating in-depth first-person methods into neuroscientific experiments.

82 Neuroscientific explanations of gambling disorder can he

83 consistent with views emerging from several neuroscientific fields, suggesting that phase synchroniz

84 humans and, consequently, bridge decades of neuroscientific findings across species.

85 gularly does alter, negate, and even reverse neuroscientific findings and conclusions down to the mol

86 beyond previous accounts by bridging between neuroscientific findings and detailed behavioral data, a

87 We summarize relevant neuroscientific findings and evidence-based principles o

88 Neuroscientific findings are rarely translated into publ

89 Here we review neuroscientific findings of processing of high-level inf

90 Contemporary neuroscientific findings support the position that a wom

91 re of the compassion pattern is reflected in neuroscientific findings, as well as in compassion pract

92 ing the representational implications of the neuroscientific findings.

93 The neuroscientific foundation of multilingualism, a unique

94 offer experimental findings that integrate a neuroscientific framework on the role of brain oscillati

95 By studying SES within a neuroscientific framework, we have the potential to expa

96 rratives-allowing researchers to easily test neuroscientific hypotheses across multiple ecologically-

97 be useable as a probe for testing cognitive neuroscientific hypotheses that predict neuroanatomical

98 ailable predictions act as an accelerant for neuroscientific hypothesis generation for the fly.

99 n-making have found empirical support, their neuroscientific implementations have received inconsiste

100 The clinical and neuroscientific implications of this overlap are discuss

101 m neuroscientists but that may have profound neuroscientific implications: deep reinforcement learnin

102 etwork constructed solely based on empirical neuroscientific information and plausible assumptions fo

103 ould be sensitive to the social consequences neuroscientific information may have once it enters the

104 task-evoked functional connectivity-areas of neuroscientific inquiry typically considered separately.

105 o- and macroscales has become a key focus of neuroscientific inquiry.

106 By translating emerging neuroscientific insights and experimental research into

107 ght sensitive and provide an overview of the neuroscientific insights gained from such approaches.

108 ussion on how their proposal can accommodate neuroscientific insights.

109 this end may obscure the effects of greatest neuroscientific interest.

110 We foresee SPRiNT responding to growing neuroscientific interests in the parameterization of tim

111 journals did overlap in terms of some shared neuroscientific interests, Brain evidently had a broader

112 cycling in rat and human brains facilitate a neuroscientific interpretation of functional imaging dat

113 a full clinical trial to link decision-based neuroscientific interventions directly with clinical out

114 n of treatments for depression, and inspired neuroscientific investigation based on a new perspective

115 However, neuroscientific investigation has focused closely on the

116 variety of non-human animals, no systematic neuroscientific investigation of animal consciousness ha

117 nd emotional awareness can be helpful in the neuroscientific investigation of emotion.

118 present a novel approach that starts from a neuroscientific investigation of insect sensory systems

119 generate novel and fruitful propositions for neuroscientific investigation.

120 us of intense behavioral and, more recently, neuroscientific investigation.

121 Unsurprisingly, the results of neuroscientific investigations into stress and motivatio

122 This foundation leverages neuroscientific investigations, also described in the ov

123 d support medical diagnosis and enable novel neuroscientific investigations.

124 generally considered to be the world's first neuroscientific journal.

125 is regarded as a promising tool to translate neuroscientific knowledge into brain-guided psychiatric

126 vioral decision-making literature and review neuroscientific knowledge on two contextual influences:

127 sociated with subjects smoking in the modern neuroscientific laboratory environment, however electron

128 Crucially, at the neuroscientific level and despite music being the sole m

129 arge body of earlier work from the cognitive neuroscientific literature implies a role for delta-band

130 Our findings confirm, in line with the neuroscientific literature, that somatosensory feedback

131 tention are widely used in the cognitive and neuroscientific literatures.

132 nical trials combining clinical outcomes and neuroscientific measures such as electroencephalogram, m

133 ibute valuable insights into the fundamental neuroscientific mechanisms of action regulation, and ope

134 en, determinants for precision in a range of neuroscientific methods (MRI, M/EEG, EDA, Eye-Tracking,

135 Here, we use neuroscientific methods and a novel computational model

136 have increasingly sought to employ cognitive neuroscientific methods and data as evidence to influenc

137 ght of the growing prominence of alternative neuroscientific methods and the growing emphasis on more

138 Though many neuroscientific methods have been brought to bear in the

139 rt) and integrating results across different neuroscientific methods remain ongoing challenges.

140 indings also challenge the prospect of using neuroscientific methods to measure utility in a context-

141 Recent evolutions in behavioral paradigms, neuroscientific methods, and computational modeling have

142 of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to t

143 ing, illuminating economic models of choice, neuroscientific models of affective learning, and the wo

144 Traditional neuroscientific models of creativity, such as the left b

145 ther messages from these workshops were that neuroscientific models of decision making could provide

146 Neuroscientific models of sensory perception suggest tha

147 imitives, and energy-efficient validation of neuroscientific models.

148 The models include well-known neuroscientific object-recognition models (e.g. HMAX, Vi

149 We contribute to the neuroscientific perspective of predictive processing as

150 n achieving proficient reading skills from a neuroscientific perspective.

151 ics of this process from a philosophical and neuroscientific perspective.

152 account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how

153 ng learning and highlight several avenues of neuroscientific, phylogenetic, and genomic research that

154 dging levels of abstraction, will facilitate neuroscientific practice.

155 neuroscience, the extent and means by which neuroscientific progress will translate into clinical ca

156 A central neuroscientific pursuit is understanding neuronal intera

157 hroughout childhood is not only an important neuroscientific question but could also shed light on th

158 erception and motor control is a fundamental neuroscientific question.

159 Consequently, neuroscientific questions involving the theoretical firi

160 chlear implant electrodes to study cognitive neuroscientific questions.

161 they have been fruitfully deployed to study neuroscientific questions.

162 interface (BMI), are gaining momentum in the neuroscientific realm, with potential applications rangi

163 Here, we highlight our current neuroscientific research aimed at establishing when cort

164 People who are involved in neurological and neuroscientific research and practice, as clinicians, re

165 r cross-fertilization between behavioral and neuroscientific research are highlighted.

166 Influential concepts in neuroscientific research cast the brain a predictive mac

167 Bias in early psychological and neuroscientific research distorted conclusions about wom

168 Neuroscientific research has benefited from studying hum

169 Meanwhile, basic neuroscientific research has elucidated molecular, cellu

170 Decades of neuroscientific research has sought to understand medial

171 The translation of neuroscientific research into care has led to new approa

172 The potential benefits of neuroscientific research into sexuality are great, but n

173 of pleasure has been the subject of intense neuroscientific research lately.

174 rrently with the wider use of advanced human neuroscientific research methods; principally neuroimagi

175 While neuroscientific research on this domain has accrued in r

176 Psychological and neuroscientific research over the past two decades has s

177 Recent neuroscientific research showed that the human brain sig

178 sections for electrophysiological and other neuroscientific research studies.

179 I review results from a number of strands of neuroscientific research that bear upon our intuitive no

180 direct implications affect a current area of neuroscientific research, and indicates how Hughlings Ja

181 he past two decades between neurological and neuroscientific research, which have seen notable innova

182 miliaris) is a growing novel model for human neuroscientific research.

183 ve mapping is a well-established practice in neuroscientific research.

184 e editing and improve the translatability of neuroscientific research.

185 s of human brain activity is a major goal of neuroscientific research.

186 pharmaceutical development, drug testing and neuroscientific research.

187 urprisingly neglected in economic theory and neuroscientific research.

188 These neuroscientific results provide some insight into the ne

189 ables visualization and analysis of dMRI for neuroscientific studies and patient-specific anatomic as

190 Datasets collected in neuroscientific studies are of ever-growing complexity,

191 Neuroscientific studies exploring real-world dynamic per

192 Recent neuroscientific studies have exploited multistable perce

193 However, neuroscientific studies have shown that attentional bias

194 Extant neuroscientific studies have typically investigated spat

195 processing, and have implications for future neuroscientific studies of decision making involving ext

196 ting, presenting a fundamental challenge for neuroscientific studies of dreaming.

197 p; second, he reviews experimental cognitive neuroscientific studies of perception, emotion, and memo

198 puter vision has long drawn inspiration from neuroscientific studies of the human and non-human prima

199 Cognitive neuroscientific studies present mixed evidence for socia

200 (VSTM) have been well documented, and recent neuroscientific studies suggest that VSTM performance is

201 ve virtual reality (VR) enables naturalistic neuroscientific studies while maintaining experimental c

202 nal philosophical inquiry, and more recently neuroscientific studies, have investigated the sources o

203 cularly important for the advancement of the neuroscientific study of different psychiatric condition

204 pose a unified theoretical framework for the neuroscientific study of general resilience mechanisms.

205 ate a unifying theoretical framework for the neuroscientific study of general resilience mechanisms.

206 Since then, the neuroscientific study of multisensory integration has in

207 ior change arise, arguing for an intensified neuroscientific study of recovery.

208 ies from across the neurosciences permit the neuroscientific study of the role of sleep in off-line m

209 Modern-day neuroscientific techniques, enabling a more nuanced exam

210 Various neuroscientific theories maintain that brain oscillation

211 ngs in light of at least one of four leading neuroscientific theories of consciousness (N = 412 exper

212 ploring what follows from existing or future neuroscientific theories of consciousness.

213 Leading neuroscientific theories posit a central role for the fu

214 Neuroscientific theories propose that the MTL supports m

215 luding the ready falsifiability of our view, neuroscientific theories that allow everything but deman

216 t CNNs offer a fruitful platform for testing neuroscientific theories.

217 s to existing experimental evidence based on neuroscientific theories.

218 anged with the advent of new, transformative neuroscientific tools.

219 bases of a given phenotype, advancing basic neuroscientific understanding and identifying circuits t

220 However, neuroscientific understanding of cross-modal plasticity

221 rpret, making it difficult to evaluate their neuroscientific validity and contribution to understandi

222 Abundant neuroscientific work has examined where in the brain wor

223 domain-general process, the vast majority of neuroscientific work has hitherto focused on individual

224 We review behavioral and neuroscientific work that speaks to how causal structure