コーパス検索結果 (1語後でソート)
通し番号をクリックするとPubMedの該当ページを表示します
1 cle is part of a Special Issue entitled "The Cognitive Neuroscience".
2 scale (e.g. genetics, molecular biology and cognitive neuroscience).
3 ity control behavior is a major challenge of cognitive neuroscience.
4 d as targets has intensively been studied in cognitive neuroscience.
5 ritical features in light of developments in cognitive neuroscience.
6 e memorable than others is a key question in cognitive neuroscience.
7 alidity for experimental paradigms in social cognitive neuroscience.
8 ive recordings from patients to the field of cognitive neuroscience.
9 s while supplementing our knowledge of human cognitive neuroscience.
10 performance errors is a central question of cognitive neuroscience.
11 sented by words is a fundamental question in cognitive neuroscience.
12 e toward resolving a long-standing debate in cognitive neuroscience.
13 behavioral economics, social psychology, and cognitive neuroscience.
14 arding one of the more central mechanisms in cognitive neuroscience.
15 onance (fMRI), has become a dominant tool in cognitive neuroscience.
16 is currently the mainstay of neuroimaging in cognitive neuroscience.
17 d ways in which to relate these to data from cognitive neuroscience.
18 as quickly become the most prominent tool in cognitive neuroscience.
19 increasing complexity from computational and cognitive neuroscience.
20 ew insights into these fundamental topics of cognitive neuroscience.
21 inary perspective of behavioral genetics and cognitive neuroscience.
22 visual system is one of the big questions in cognitive neuroscience.
23 ory cortex constitutes a major challenge for cognitive neuroscience.
24 l this brings social behavioral grounding to cognitive neuroscience.
25 f all fields within cognitive psychology and cognitive neuroscience.
26 logical psychiatry and its relationship with cognitive neuroscience.
27 y perspective blending social psychology and cognitive neuroscience.
28 light of recent developments in clinical and cognitive neuroscience.
29 action are crucial questions in the field of cognitive neuroscience.
30 ent developments in cognitive psychology and cognitive neuroscience.
31 DM) is an important decision-making model in cognitive neuroscience.
32 daily tasks is rarely taken into account in cognitive neuroscience.
33 y organs, particularly in its application to cognitive neuroscience.
34 pus in animals, remains a major challenge in cognitive neuroscience.
35 conceptual and technological developments in cognitive neuroscience.
36 information is not is a central question in cognitive neuroscience.
37 in visual tasks are ubiquitous in visual and cognitive neuroscience.
38 dictive coding) is a predominant paradigm in cognitive neuroscience.
39 inferences and overlap theories pervasive in cognitive neuroscience.
40 eference-based decisions is still debated in cognitive neuroscience.
41 ious perception is a fundamental endeavor of cognitive neuroscience.
42 r the interpretation of research findings in cognitive neuroscience.
43 of causal models, with a particular focus on cognitive neuroscience.
44 groups, comparative neurology and normative cognitive neuroscience.
45 ture experimental data are a central task in cognitive neuroscience.
46 his ability emerged from vision research and cognitive neuroscience.
47 ing time, remains an enigmatic phenomenon in cognitive neuroscience.
48 greatest success stories in behavioural and cognitive neuroscience.
49 y has grown exponentially in recent years in cognitive neuroscience.
50 ulving and is still of central importance in cognitive neuroscience.
51 p between disciplines and the advancement of cognitive neuroscience.
52 s been an important impetus for the field of cognitive neuroscience.
53 ppeals to audiences in both subfields within cognitive neuroscience.
54 d bridge between generative audio models and cognitive neuroscience.
55 nd human single-neuron recordings to advance cognitive neuroscience.
56 Failing would reveal challenging limits for cognitive neuroscience.
57 dulthood represents a major challenge facing cognitive neuroscience.
58 c, and worse performance may be expected for cognitive neuroscience.
59 rvention after real-life trauma derived from cognitive neuroscience.
60 s has made major historical contributions to cognitive neuroscience.
61 ricks offer novel experimental approaches to cognitive neuroscience.
62 ity in this frequency range is important for cognitive neuroscience.
63 es for a series of reforms in psychology and cognitive neuroscience.
64 future informatics developments may hold for cognitive neuroscience.
65 on remains intensely debated in the field of cognitive neuroscience.
66 he importance of longitudinal phenotyping in cognitive neuroscience.
67 timulation is widespread in studies of human cognitive neuroscience.
68 cial psychology, personality psychology, and cognitive neuroscience.
69 nd behavioural genetics, and should be so in cognitive neuroscience.
70 on and therefore has been a central topic in cognitive neuroscience.
71 inter-temporal and risky decision-making in cognitive neuroscience.
72 also be confronted by the limits of current cognitive neuroscience.
73 am for psychology and a crucial question for cognitive neurosciences.
74 sions of the diffusion decision model in the cognitive neurosciences.
75 is one of the most fascinating topics in the cognitive neurosciences.
76 s four broad areas of research within social cognitive neuroscience: (a) understanding others, (b) un
78 article attempts to lay the foundation for a cognitive neuroscience analysis of memory illusions and
79 al behavior has become an important goal for cognitive neuroscience and a key aim is to link neural p
80 problem as old as humanity, but advances in cognitive neuroscience and a long-term view of the dynam
82 e models of understanding drawing equally on cognitive neuroscience and artificial intelligence and e
90 e-matter may open new avenues of research in cognitive neuroscience and clinical neuropsychiatry.SIGN
92 wards bridging the gap between theory-driven cognitive neuroscience and data-driven decoding approach
93 spute reflects a larger disagreement between cognitive neuroscience and ethology over the role of sen
95 ed the OFC in nearly every function known to cognitive neuroscience and in most neuropsychiatric dise
96 ealth research is to translate findings from cognitive neuroscience and neuroimaging research into ef
99 unique perspective on the ongoing debate in cognitive neuroscience and philosophy on whether cogniti
100 ation (TMS) appears to be 'coming of age' in cognitive neuroscience and promises to reshape the way w
101 In this review, we connect insights from cognitive neuroscience and psychiatry to suggest that th
103 lyzing 26,841 statistical records from 3,801 cognitive neuroscience and psychology papers published r
105 stablished memories has been long debated in cognitive neuroscience and remains a crucial question to
107 anterior insula (AI) has been emphasized in cognitive neurosciences and been demonstrated to be freq
109 hich can provide a useful tool for clinical, cognitive neuroscience, and brain-machine-interfacing ap
110 integrates research from social psychology, cognitive neuroscience, and developmental science to des
111 gnizes both a paradigm shift in the study of cognitive neuroscience, and some of the amazing insights
112 evidence from social-personality, clinical, cognitive-neuroscience, and animal research to highlight
116 These new results indicate that a modern cognitive neuroscience approach to the classical concept
117 Animal models together with fMRI and other cognitive neuroscience approaches in humans are providin
118 ustrates, through behavioural, modelling and cognitive neuroscience approaches, that distinct selecti
120 gh-resolution experimental techniques in the cognitive neurosciences are profoundly changing how we i
121 , was used to investigate a central issue in cognitive neuroscience: Are the components of the neural
122 the 20th century has seen the development of cognitive neuroscience as an effort to understand how th
124 orking memory (WM) is a central construct in cognitive neuroscience because it comprises mechanisms o
125 resonance imaging (fMRI) has revolutionized cognitive neuroscience, but methodological barriers limi
126 Altogether, this review aims to advance cognitive neuroscience by highlighting subcortical cogni
128 hological theories demonstrating that social cognitive neuroscience can both draw on and contribute t
129 -a signal with thus far unique properties in cognitive neuroscience - can be leveraged to furnish key
137 In recent years, psychological theory and cognitive neuroscience data have converged on the idea t
139 we argue for a new perspective within social cognitive neuroscience, emphasizing the importance of me
143 l mechanisms from the cellular, systems, and cognitive neuroscience fields that have contributed to r
146 ave become a key brain region of interest in cognitive neuroscience founded upon neuropsychological i
149 e "predictive brain" as a unifying model for cognitive neuroscience, from the level of basic neural p
153 ocomputational mechanisms of hallucinations, cognitive neuroscience has focused on experiments that i
165 unctioning, a core concept in psychology and cognitive neuroscience, has led to divergent conceptual
166 cial psychology, in social cognition, and in cognitive neuroscience have led to an emerging conceptio
168 ories, combined with advances in fundamental cognitive neuroscience, have led to increased interest i
169 ging new field situated at the crossroads of cognitive neuroscience, health science, educational inte
170 lysis can address many of the challenges for cognitive neuroscience highlighted in After Phrenology b
172 ory (AAOM) with the most recent paradigms in cognitive neuroscience (i.e., the concepts of hodotopic
173 fMRI a feasible and accessible technique for cognitive neuroscience in awake and behaving human infan
174 ould have clear utility beyond the domain of cognitive neuroscience, in the realm of law, marketing,
175 al navigation can serve as a model system in cognitive neuroscience, in which specific neural represe
176 plications of these behavioral paradigms for cognitive neuroscience, including recent work on single-
177 re we assemble clues from disparate areas of cognitive neuroscience, integrating recent research on l
179 This latter distinction emerges from social cognitive neuroscience investigations rather than from e
185 oimaging studies is the individual; however, cognitive neuroscience is increasingly acknowledging a d
188 enduring and richly elaborated dichotomy in cognitive neuroscience is that of reflective versus refl
198 mically distinct, a fundamental challenge to cognitive neuroscience is to explain how the brain binds
205 ful technique for functional localization in cognitive neuroscience, lesion-deficit mapping is in pra
206 By contrast, the prevailing view in the cognitive neuroscience literature is that separate neura
209 ion of evidence-based teaching practices and cognitive neuroscience measures could prevent dyslexia f
210 development have involved the application of cognitive neuroscience methods such as neuroimaging and
212 bly the most studied topic in psychology and cognitive neuroscience, most research has focused on lea
216 consider three key questions for advancing a cognitive neuroscience of attention and memory: to what
220 are further considered in the context of the cognitive neuroscience of human memory and, in particula
221 iew, we integrate recent developments in the cognitive neuroscience of human memory retrieval, pinpoi
222 ed on recent theoretical developments in the cognitive neuroscience of imagination to provide a broad
225 ponses - supported by emerging evidence from cognitive neuroscience on implicit and explicit emotion,
226 area arises from the overlap between systems/cognitive neuroscience on the one side and the disciplin
229 MS) has emerged as an important technique in cognitive neuroscience, permitting causal inferences abo
233 paleoneurobiology to invivo measurements in cognitive neuroscience, provide insights into the evolut
234 agnetic resonance imaging (fMRI) transformed cognitive neuroscience, providing insights into large-sc
235 ramework for future progress in clinical and cognitive neuroscience, pushing the boundaries of brain
238 arious fields, however, their application in cognitive neuroscience remains limited, largely due to t
243 Previous epidemiological, animal, and human cognitive neuroscience research suggests that maternal s
244 xamines social phenomena and processes using cognitive neuroscience research tools such as neuroimagi
245 fy the utility of combining laboratory-based cognitive neuroscience research with real-world educatio
246 Nevertheless, unlike most 'traditional' cognitive neuroscience research, which uses controlled e
250 research using approaches from experimental cognitive neuroscience revealed disproportionate episodi
253 g, coupled with parallel developments in the cognitive neurosciences, seemed to signal a new era of n
256 ion, and those that are routinely studied in cognitive neuroscience, such as attention and, as argued
257 stroke can result in aphasia and advances in cognitive neuroscience suggest that impairment may be as
260 een November 1, 2010, and May 30, 2012, at 5 Cognitive Neuroscience Test Reliability and Clinical App
262 In this review, we present findings from cognitive neuroscience that bear on the question of how
263 oing so, we advocate for a paradigm shift in cognitive neuroscience that explicitly incorporates upst
264 We also discuss recent findings from social cognitive neuroscience that explore the brain basis of t
265 e an even less brain-centric and mechanistic cognitive neuroscience that focuses on relations and int
266 s coupling has led to a common assumption in cognitive neuroscience that stimulus-evoked activity in
267 Despite this headway, progress in human cognitive neuroscience that uses fMRI has been relativel
268 odel-however, for many models of interest in cognitive neuroscience, the associated likelihoods canno
269 In this review, based on recent advances in cognitive neuroscience, the author presents a formulatio
270 ciplinary research, the commercialization of cognitive neuroscience, the impetus for training in ethi
272 gredient of conceptual structure, and inform cognitive neuroscience theories of conceptual combinatio
276 e present an alternative approach to advance cognitive neuroscience through principled, theory-driven
277 ch QTL associations will open new windows in cognitive neuroscience through which to observe pathways
279 ne interactions, leveraging advances made in cognitive neuroscience to link different levels of descr
280 The application of fMRI paradigms used in cognitive neuroscience to patients with epilepsy is comp
281 dilemmas as probes, we apply the methods of cognitive neuroscience to the study of moral judgment.
282 and methods from psychology, economics, and cognitive neuroscience to understand how the brain makes
283 onstrained by existing taxonomies, and moves cognitive neuroscience toward an action-oriented, dynami
284 ort in psychology, behavioral economics, and cognitive neuroscience typically suggest that exerting c
286 uroimaging research unit at the Institute of Cognitive Neuroscience, University College London, and t
288 Inspired by the global workspace theory in cognitive neuroscience, we introduce CellMemory, a bottl
289 n theories, emotion regulation research, and cognitive neuroscience, we propose a model of successful
290 hiatry, emotion research, and behavioral and cognitive neuroscience, we propose a unified theoretical
292 lines and techniques galvanized the field of cognitive neuroscience, which has rapidly expanded to in
293 al psychology, basal cognition, and embodied cognitive neuroscience-which help contextualize the arti
294 o be the case, several fascinating issues in cognitive neuroscience will be brought under rigorous ph
295 Although it is far too early to say that cognitive neuroscience will have any direct impact on ho
296 bining findings from behavioral genetics and cognitive neuroscience with the accumulated research on
297 ne processing features prominently in visual cognitive neuroscience, with fMRI studies showing that t
298 with development is a critical question for cognitive neuroscience, with implications for neurodevel
299 c knowledge is a core question in visual and cognitive neuroscience, with significant clinical ramifi
300 memory dysfunction informed by contemporary cognitive neuroscience, with the goal of developing here