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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
77                               Other areas of cognitive neuroscience also promise experimental insight
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
81 r time, providing valuable insights for both cognitive neuroscience and AI development.
82 e models of understanding drawing equally on cognitive neuroscience and artificial intelligence and e
83 breadth, NSD opens new avenues of inquiry in cognitive neuroscience and artificial intelligence.
84                          Those interested in cognitive neuroscience and basic neuroscience have more
85 ognition per se, given the available data in cognitive neuroscience and behavioral biology.
86  (cognition, perception, social behavior) to cognitive neuroscience and behavioral economics.
87                         Recent frameworks in cognitive neuroscience and behavioral neurology undersco
88 ng, laying the groundwork for new agendas in cognitive neuroscience and behavioral neurology.
89        Here, to bridge the scale gap between cognitive neuroscience and cell biology, we developed a
90 e-matter may open new avenues of research in cognitive neuroscience and clinical neuropsychiatry.SIGN
91                         Recent findings from cognitive neuroscience and cognitive psychology may help
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
94       We highlight its wide applicability in cognitive neuroscience and how its openness to further d
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
97                                  Advances in cognitive neuroscience and neurotechnology have increase
98 for prediction and has broad applications in cognitive neuroscience and personalised medicine.
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
102             Drawing on recent discoveries in cognitive neuroscience and psychiatry, this review discu
103 lyzing 26,841 statistical records from 3,801 cognitive neuroscience and psychology papers published r
104        Self-report scales are widely used in cognitive neuroscience and psychology.
105 stablished memories has been long debated in cognitive neuroscience and remains a crucial question to
106              LD is in the cross-spotlight of cognitive neuroscience and sleep research as a particula
107  anterior insula (AI) has been emphasized in cognitive neurosciences and been demonstrated to be freq
108 rdisciplinary approach combining comparative cognitive neurosciences and behavioral ecology.
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
113                              A developmental cognitive neuroscience approach provides insights into h
114                      This interdisciplinary, cognitive neuroscience approach reveals dynamic and opti
115                    The present study takes a cognitive neuroscience approach to investigating how inf
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
119                           Recent advances in cognitive neuroscience are opening new avenues for measu
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
123         In contrast, the recent emergence of cognitive neuroscience as an inspiration for understandi
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
127                                              Cognitive neuroscience can be substantially advanced if
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
130                                          The cognitive neuroscience community using M/EEG has not con
131                                           In cognitive neuroscience, computational modeling can forma
132                                       Within cognitive neuroscience, computational models are designe
133                      An outstanding issue in cognitive neuroscience concerns how the brain is organiz
134                        A central question in cognitive neuroscience concerns the extent to which lang
135                           A central issue in cognitive neuroscience concerns the functional architect
136                         Here we consider how cognitive neuroscience could contribute to addressing me
137    In recent years, psychological theory and cognitive neuroscience data have converged on the idea t
138                            However, emerging cognitive neuroscience data suggest a surprisingly large
139 we argue for a new perspective within social cognitive neuroscience, emphasizing the importance of me
140                                       Social cognitive neuroscience examines social phenomena and pro
141                 An extensive literature from cognitive neuroscience examines the neural representatio
142                                              Cognitive neuroscience faces four major challenges: comp
143 l mechanisms from the cellular, systems, and cognitive neuroscience fields that have contributed to r
144                  Consistent with these human cognitive neuroscience findings, animal neurophysiologic
145 been a controversial issue in psychology and cognitive neuroscience for decades.
146 ave become a key brain region of interest in cognitive neuroscience founded upon neuropsychological i
147                    We propose an integrative cognitive neuroscience framework for understanding the c
148                         Here, we introduce a cognitive neuroscience framework for understanding the i
149 e "predictive brain" as a unifying model for cognitive neuroscience, from the level of basic neural p
150                                              Cognitive neuroscience has converged on a definition of
151                                              Cognitive neuroscience has described two related but dis
152                                    Recently, cognitive neuroscience has experienced unprecedented gro
153 ocomputational mechanisms of hallucinations, cognitive neuroscience has focused on experiments that i
154                                              Cognitive neuroscience has gained insight into covert st
155                                              Cognitive neuroscience has highlighted the cerebral cort
156                       Over the last decades, cognitive neuroscience has identified a distributed set
157                         Recent work in human cognitive neuroscience has linked self-consciousness to
158                                              Cognitive neuroscience has made great strides in underst
159                                     Although cognitive neuroscience has made remarkable progress in u
160         Over the past 20 years, the field of cognitive neuroscience has relied heavily on hemodynamic
161                                              Cognitive neuroscience has revealed aging of the human b
162                                      Whereas cognitive neuroscience has scantily fostered hypnosis as
163                                              Cognitive neuroscience has the potential to shed light o
164                                              Cognitive neuroscience has witnessed a surge of interest
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
167                          Analysis methods in cognitive neuroscience have not always matched the richn
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
171                           Recent progress in cognitive neuroscience highlights the involvement of the
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
178                                       Social cognitive neuroscience investigates the psychological an
179  This latter distinction emerges from social cognitive neuroscience investigations rather than from e
180                                       Social cognitive neuroscience is an emerging discipline that se
181                                  Traditional cognitive neuroscience is based on studying single indiv
182                                              Cognitive neuroscience is beginning to bridge the gap, a
183                    A fundamental question in cognitive neuroscience is how the human brain self-organ
184                            A key question in cognitive neuroscience is how unified identity represent
185 oimaging studies is the individual; however, cognitive neuroscience is increasingly acknowledging a d
186                                              Cognitive neuroscience is motivated by the precept that
187                           A central tenet of cognitive neuroscience is that humans build an internal
188  enduring and richly elaborated dichotomy in cognitive neuroscience is that of reflective versus refl
189               One of the seminal findings of cognitive neuroscience is that the power of occipital al
190                A commonly held assumption in cognitive neuroscience is that, because measures of huma
191            A critical issue in developmental cognitive neuroscience is the extent to which the functi
192            A prominent and robust finding in cognitive neuroscience is the strengthening of memories
193                            A central goal of cognitive neuroscience is to decode human brain activity
194                              A major goal of cognitive neuroscience is to delineate how brain systems
195                            A central goal of cognitive neuroscience is to elucidate the neural mechan
196                    A key goal of model-based cognitive neuroscience is to estimate the trial-by-trial
197                        A fundamental goal of cognitive neuroscience is to explain how mental decision
198 mically distinct, a fundamental challenge to cognitive neuroscience is to explain how the brain binds
199                                  The goal of cognitive neuroscience is to integrate cognitive models
200                            One major goal of cognitive neuroscience is to understand the neural mecha
201                               A key goal for cognitive neuroscience is to understand the neurocogniti
202                       One central mission of cognitive neuroscience is to understand the ontology of
203                        A central question in cognitive neuroscience is whether mechanisms exist that
204                                           In cognitive neuroscience, it is unknown how information th
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
207 l, well above the level of neurons, with the cognitive neuroscience literature.
208                                           As cognitive neuroscience matures and models proliferate, f
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
211                                       In the cognitive neurosciences, mind wandering has been associa
212 bly the most studied topic in psychology and cognitive neuroscience, most research has focused on lea
213                                  Advances in cognitive neuroscience now allow us to use physiological
214                                              Cognitive neuroscience of aging studies traditionally ta
215 fore the age range traditionally targeted by cognitive neuroscience of aging studies.
216 consider three key questions for advancing a cognitive neuroscience of attention and memory: to what
217 es have become increasingly important in the cognitive neuroscience of executive control.
218 attention has been a major challenge for the cognitive neuroscience of executive functions.
219                                          The cognitive neuroscience of human aging seeks to identify
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
223                                  In sum, the cognitive neuroscience of insight is an exciting new are
224                                 Although the cognitive neuroscience of music is still in its infancy,
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
227 nal alignment, have become powerful tools in cognitive neuroscience over the past decade.
228                            Research on avian cognitive neuroscience over the past two decades has rev
229 MS) has emerged as an important technique in cognitive neuroscience, permitting causal inferences abo
230 sights into development from a computational cognitive neuroscience perspective.
231                      An intriguing notion in cognitive neuroscience posits that alpha oscillations mo
232                 A well-established notion in cognitive neuroscience proposes that multiple brain syst
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
236                        A central question in cognitive neuroscience regards the means by which option
237                                  Progress in cognitive neuroscience relies on methodological developm
238 arious fields, however, their application in cognitive neuroscience remains limited, largely due to t
239                                              Cognitive neuroscience research has made tremendous prog
240                                   Decades of cognitive neuroscience research have revealed two basic
241                          At the forefront of cognitive neuroscience research in normal humans are the
242                                              Cognitive neuroscience research relies, in part, on homo
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
247 timulated by the interest in these tools for cognitive neuroscience research.
248                                              Cognitive neuroscience researchers have identified relat
249                       Meanwhile, advances in cognitive neuroscience reveal multiple, interacting form
250  research using approaches from experimental cognitive neuroscience revealed disproportionate episodi
251         Canonical tasks, often preceding the cognitive neuroscience revolution by decennia, were not
252                                              Cognitive neuroscience seeks generalizable theories expl
253 g, coupled with parallel developments in the cognitive neurosciences, seemed to signal a new era of n
254                         And how do data from cognitive neuroscience speak to this question?
255                            A large number of cognitive neuroscience studies point to the similarities
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
258                                 Contemporary cognitive neuroscience suggests that pattern separation
259                                              Cognitive neuroscience techniques are particularly well
260 een November 1, 2010, and May 30, 2012, at 5 Cognitive Neuroscience Test Reliability and Clinical App
261 izes in both disciplines, power was lower in cognitive neuroscience than in psychology.
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
271                                       In the cognitive neurosciences, the diffusion decision model ha
272 gredient of conceptual structure, and inform cognitive neuroscience theories of conceptual combinatio
273 ngs are framed in the sensory perception and cognitive neuroscience theories.
274  contemporary social cognitive research with cognitive neuroscience theory and methodology.
275            Within the field of developmental cognitive neuroscience, there is an increasing interest
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
278                                   Leveraging cognitive neuroscience to identify mechanisms that contr
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
285        Neuroimaging has greatly enhanced the cognitive neuroscience understanding of the human brain
286 uroimaging research unit at the Institute of Cognitive Neuroscience, University College London, and t
287                                 The field of cognitive neuroscience was transformed by the discovery
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
291           Drawing on insights from normative cognitive neuroscience, we propose that these regions un
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

 
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