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• COGNITIVE NEUROSCIENCE; THE BIOLOGY OF THE MIND
  openalex Esperanza Báusela Herreras 2010-01-01 置信度 0.72 Cognitive neuroscienceCognitive scienceNeuroscienceCognitionPsychology
• Affective neuroscience of pleasure: reward in humans and animals
  openalex Kent Berridge, Morten L. Kringelbach 2008-03-03 置信度 0.72 PleasurePsychologyHappinessOrbitofrontal cortexReward system
• The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience
  The past few decades have seen a rapid increase in the use of functional near-infrared spectroscopy (fNIRS) in cognitive neuroscience. This fast growth is due to the several advances that fNIRS offers over the other neuroimaging modalities such as functional m…
  openalex Paola Pinti, Ilias Tachtsidis, Antonia F. de C. Hamilton, Joy Hirsch 等 2018-08-07 置信度 0.72 Functional near-infrared spectroscopyNeuroimagingModalitiesCognitive neuroscienceNeuroscience
• Erroneous analyses of interactions in neuroscience: a problem of significance
  openalex Sander Nieuwenhuis, Birte U. Forstmann, Eric‐Jan Wagenmakers 2011-08-26 置信度 0.72 Systems neuroscienceCognitive neuroscienceNeuroscienceComputational neurosciencePsychology
• Human Empathy Through the Lens of Social Neuroscience
  Empathy is the ability to experience and understand what others feel without confusion between oneself and others. Knowing what someone else is feeling plays a fundamental role in interpersonal interactions. In this paper, we articulate evidence from social ps…
  openalex Jean Decety, Claus Lamm 2006-01-01 置信度 0.72 EmpathySocial neurosciencePsychologyFeelingPerspective (graphical)
• Depression: Perspectives from Affective Neuroscience
  Depression is a disorder of the representation and regulation of mood and emotion. The circuitry underlying the representation and regulation of normal emotion and mood is reviewed, including studies at the animal level, human lesion studies, and human brain i…
  openalex Richard J. Davidson, Diego A. Pizzagalli, Jack B. Nitschke, Katherine M. Putnam 2002-02-01 置信度 0.72 PsychologyAmygdalaMoodNeuroscienceAffect (linguistics)
• Transcranial magnetic stimulation and cognitive neuroscience
  openalex Vincent Walsh, Alan Cowey 2000-10-01 置信度 0.72 Transcranial magnetic stimulationNeuroscienceCognitive neuroscienceNeuropsychologyCognition
• Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research
  openalex Susumu Mori, Jiangyang Zhang 2006-09-01 置信度 0.72 Diffusion MRINeurosciencePsychologyCognitive scienceMedicine
• Consciousness and neuroscience
  When all's said and done, more is said than done. (Anon.) The main purposes of this review are to set out for neuroscientists one possible approach to the problem of consciousness and to describe the relevant ongoing experimental work. We have not attempted an…
  openalex Francis Crick 1998-03-01 置信度 0.72 ConsciousnessCognitive scienceSet (abstract data type)QualiaPsychology
• RESTORATIVE NEUROLOGY AND NEUROSCIENCE
  This interdisciplinary journal publishes papers relating the plasticity and response of the nervous system to accidental or experimental injuries and their interventions, transplantation, neurodegenerative disorders and experimental strategies to improve regen…
  openalex Elisabetta Làdavas 2013-01-01 置信度 0.72 NeuroinformaticsNeurologyNeurosciencePsychologyMedicine
• Affective Style and Affective Disorders: Perspectives from Affective Neuroscience
  Individual differences in emotional reactivity or affective style can be decomposed into more elementary constituents. Several separable of affective style are identified such as the threshold for reactivity, peak amplitude of response, the rise time to peak a…
  openalex Richard J. Davidson 1998-05-01 置信度 0.72 PsychologyPrefrontal cortexCognitive psychologyReactivity (psychology)Style (visual arts)
• The neuroscience of grasping
  openalex Umberto Castiello 2005-08-15 置信度 0.72 GRASPCognitive neuroscienceCognitive scienceNeuroscienceFlexibility (engineering)
• Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience
  openalex Dina R. Dajani, Lucina Q. Uddin 2015-09-01 置信度 0.72 Cognitive flexibilityFlexibility (engineering)OperationalizationCognitionNeuroscience
• The seven sins of memory: Insights from psychology and cognitive neuroscience.
  Though often reliable, human memory is also fallible. This article examines how and why memory can get us into trouble. It is suggested that memory's misdeeds can be classified into 7 basic "sins": transience, absentmindedness, blocking, misattribution, sugges…
  openalex Daniel L. Schacter 1999-01-01 置信度 0.72 Misattribution of memoryForgettingPsychologyCognitionMotivated forgetting
• We Feel, Therefore We Learn: The Relevance of Affective and Social Neuroscience to Education
  ABSTRACT— Recent advances in neuroscience are highlighting connections between emotion, social functioning, and decision making that have the potential to revolutionize our understanding of the role of affect in education. In particular, the neurobiological ev…
  openalex Mary Helen Immordino‐Yang, António R. Damásio 2007-03-01 置信度 0.72 PsychologyRelevance (law)CognitionCreativityAffect (linguistics)
• Metals and neuroscience
  openalex Ashley I. Bush 2000-04-01 置信度 0.72 RedoxAmyotrophic lateral sclerosisReactive oxygen speciesOxidative stressChemistry
• Technological Competence is a Precondition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-analysis
  Immersive virtual reality (VR) emerges as a promising research and clinical tool. However, several studies suggest that VR induced adverse symptoms and effects (VRISE) may undermine the health and safety standards, and the reliability of the scientific results…
  arxiv Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson 2021-01-20T13:48:11Z 置信度 0.78 cs.HCcs.CYcs.MM
• Separating minimal from radical embodied cognitive neuroscience
  Mougenot and Matheson (2024) make a compelling case for the development of a mechanistic cognitive neuroscience that is embodied. However, their analysis of extant work under this header plays down important distinctions between "minimal" and "radical" embodim…
  arxiv Matthieu M. de Wit 2024-09-17T15:24:16Z 置信度 0.78 q-bio.NC
• Information thermodynamics: from physics to neuroscience
  This paper provides a perspective on applying the concepts of information thermodynamics, developed recently in non-equilibrium statistical physics, to problems in theoretical neuroscience. Historically, information and energy in neuroscience have been treated…
  arxiv Jan Karbowski 2024-09-26T07:28:13Z 置信度 0.78 q-bio.NCcond-mat.dis-nncond-mat.stat-mechphysics.bio-ph
• What can a mathematician do in neuroscience?
  Mammalian brain is one of the most complex objects in the known universe, as it governs every aspect of animal's and human behavior. It is fair to say that we have a very limited knowledge of how the brain operates and functions. Computational Neuroscience is …
  arxiv Jan Karbowski 2014-05-16T16:41:45Z 置信度 0.78 q-bio.NC
• Clarifying the conceptual dimensions of representation in neuroscience
  Despite the centrality of the notion of representation in neuroscience, the field lacks a unified framework for the concepts used to characterize representation, leading to disparate use of both terminology and measures associated with it. To offer clarificati…
  arxiv Stephan Pohl, Edgar Y. Walker, David L. Barack, Jennifer Lee 等 2024-03-21T00:07:02Z 置信度 0.78 q-bio.NC
• The extent and drivers of gender imbalance in neuroscience reference lists
  Like many scientific disciplines, neuroscience has increasingly attempted to confront pervasive gender imbalances within the field. While much of the conversation has centered around publishing and conference participation, recent research in other fields has …
  arxiv Jordan D. Dworkin, Kristin A. Linn, Erin G. Teich, Perry Zurn 等 2020-01-03T22:15:46Z 置信度 0.78 cs.SIcs.DL
• Launching Your VR Neuroscience Laboratory
  The proliferation and refinement of affordable virtual reality (VR) technologies and wearable sensors have opened new frontiers in cognitive and behavioral neuroscience. This chapter offers a broad overview of VR for anyone interested in leveraging it as a res…
  arxiv Ying Choon Wu, Christopher Maymon, Jonathon Paden, Weichen Liu 2024-05-21T19:37:09Z 置信度 0.78 cs.HCq-bio.NC
• Causality in cognitive neuroscience: concepts, challenges, and distributional robustness
  While probabilistic models describe the dependence structure between observed variables, causal models go one step further: they predict, for example, how cognitive functions are affected by external interventions that perturb neuronal activity. In this review…
  arxiv Sebastian Weichwald, Jonas Peters 2020-02-14T14:49:34Z 置信度 0.78 q-bio.NCstat.APstat.ME
• Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinent Adverse Symptomatology
  Research suggests that the duration of a VR session modulates the presence and intensity of VRISE, but there are no suggestions regarding the appropriate maximum duration of VR sessions. The implementation of high-end VR HMDs in conjunction with ergonomic VR s…
  arxiv Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson 2021-01-20T14:10:44Z 置信度 0.78 cs.HCcs.CYcs.MM
• Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models
  Prediction in language has traditionally been studied using simple designs in which neural responses to expected and unexpected words are compared in a categorical fashion. However, these designs have been contested as being `prediction encouraging', potential…
  arxiv Micha Heilbron, Benedikt Ehinger, Peter Hagoort, Floris P. de Lange 2019-09-10T10:50:04Z 置信度 0.78 q-bio.NC
• Definition of Cybernetical Neuroscience
  A new scientific field is introduced and discussed, named cybernetical neuroscience, which studies mathematical models adopted in computational neuroscience by methods of cybernetics -- the science of control and communication in a living organism, machine and…
  arxiv Alexander Fradkov 2024-09-14T13:35:59Z 置信度 0.78 q-bio.NCmath.OC
• A Paradigm Shift in Human Neuroscience Research: Progress, Prospects, and a Proof of Concept for Population Neuroscience
  Recent advances and reflections on reproducible human neuroscience, especially brain-wide association studies (BWAS) leveraging large datasets, have led to divergent and sometimes opposing views on research practices and priorities. The debates span multiple d…
  arxiv Zi-Xuan Zhou, Xi-Nian Zuo 2022-12-08T11:23:07Z 置信度 0.78 q-bio.NCq-bio.QMstat.ME
• Teaching Computational Neuroscience
  The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
  arxiv Péter Érdi 2014-12-18T15:52:08Z 置信度 0.78 q-bio.NC
• A learning gap between neuroscience and reinforcement learning
  Historically, artificial intelligence has drawn much inspiration from neuroscience to fuel advances in the field. However, current progress in reinforcement learning is largely focused on benchmark problems that fail to capture many of the aspects that are of …
  arxiv Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom 等 2021-04-22T11:25:21Z 置信度 0.78 cs.LGcs.AI
• Ordinal Characterization of Similarity Judgments
  Characterizing judgments of similarity within a perceptual or semantic domain, and making inferences about the underlying structure of this domain from these judgments, has an increasingly important role in cognitive and systems neuroscience. We present a new …
  arxiv Jonathan D. Victor, Guillermo Aguilar, Suniyya A. Waraich 2023-10-11T14:47:51Z 置信度 0.78 q-bio.NCq-bio.QM
• Is neuroscience facing up to statistical power?
  It has been demonstrated that the statistical power of many neuroscience studies is very low, so that the results are unlikely to be robustly reproducible. How are neuroscientists and the journals in which they publish responding to this problem? Here I review…
  arxiv Geoffrey J Goodhill 2017-01-05T06:07:48Z 置信度 0.78 q-bio.NCstat.AP
• A Philosophical Understanding of Representation for Neuroscience
  Neuroscientists often describe neural activity as a representation of something, or claim to have found evidence for a neural representation. But what do these statements mean? The reasons to call some neural activity a representation and the assumptions that …
  arxiv Ben Baker, Benjamin Lansdell, Konrad Kording 2021-02-12T16:01:24Z 置信度 0.78 q-bio.NC
• An introduction to reinforcement learning for neuroscience
  Reinforcement learning (RL) has a rich history in neuroscience, from early work on dopamine as a reward prediction error signal (Schultz et al., 1997) to recent work proposing that the brain could implement a form of 'distributional reinforcement learning' pop…
  arxiv Kristopher T. Jensen 2023-11-13T13:10:52Z 置信度 0.78 q-bio.NCcs.LG
• Network models in neuroscience
  From interacting cellular components to networks of neurons and neural systems, interconnected units comprise a fundamental organizing principle of the nervous system. Understanding how their patterns of connections and interactions give rise to the many funct…
  arxiv Danielle S. Bassett, Perry Zurn, Joshua I. Gold 2018-07-31T17:51:16Z 置信度 0.78 q-bio.NC
• Network neuroscience and the connectomics revolution
  Connectomics and network neuroscience offer quantitative scientific frameworks for modeling and analyzing networks of structurally and functionally interacting neurons, neuronal populations, and macroscopic brain areas. This shift in perspective and emphasis o…
  arxiv Richard Betzel 2020-10-04T14:36:03Z 置信度 0.78 q-bio.NC
• BrainKnow -- Extracting, Linking, and Synthesizing Neuroscience Knowledge
  The exponential growth of neuroscience literature presents a significant challenge for researchers seeking to efficiently access and utilize relevant information. To address this issue, we introduce the Brain Knowledge Engine (BrainKnow), an automated system d…
  arxiv Cunqing Huangfu, Kang Sun, Yi Zeng, Yuwei Wang 等 2024-03-07T09:20:38Z 置信度 0.78 cs.DLq-bio.NC
• Epistemic integration and social segregation of AI in neuroscience
  In recent years, Artificial Intelligence (AI) shows a spectacular ability of insertion inside a variety of disciplines which use it for scientific advancements and which sometimes improve it for their conceptual and methodological needs. According to the trans…
  arxiv Sylvain Fontaine, Floriana Gargiulo, Michel Dubois, Paola Tubaro 2023-10-02T09:48:42Z 置信度 0.78 physics.soc-phcs.SI
• Biological detail and graph structure in network neuroscience
  Endowing brain anatomy, dynamics, and function with a network structure is becoming standard in neuroscience. In its simplest form, a network is a collection of units and relationships between them. The pattern of relations among the units encodes numerous pro…
  arxiv David Papo, Javier M. Buldú 2025-07-21T16:48:12Z 置信度 0.78 q-bio.NCphysics.bio-ph
• A perspective on neuroscience data standardization with Neurodata Without Borders
  Neuroscience research has evolved to generate increasingly large and complex experimental data sets, and advanced data science tools are taking on central roles in neuroscience research. Neurodata Without Borders (NWB), a standard language for neurophysiology …
  arxiv Andrea Pierré, Tuan Pham, Jonah Pearl, Sandeep Robert Datta 等 2023-10-06T15:28:51Z 置信度 0.78 q-bio.NC
• The Roles of Supervised Machine Learning in Systems Neuroscience
  Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing. Here, we review ML's contributions, both realized and potential, across several areas of systems neuroscience. We describe four primary roles of ML withi…
  arxiv Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Kording 2018-05-21T18:11:26Z 置信度 0.78 q-bio.NCcs.LGstat.ML
• Reconstruction of Partial Dissimilarity Matrices for Cognitive Neuroscience
  In cognitive neuroscience research, Representational Dissimilarity Matrices (RDMs) are often incomplete because pairwise similarity judgments cannot always be exhaustively collected as the number of pairs rapidly increases with the number of conditions. Existi…
  arxiv Denise Moerel, Tijl Grootswagers 2025-05-31T09:44:14Z 置信度 0.78 q-bio.NC
• An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience
  This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students. A four-day microseminar, titled Swarming Powered by Neuroscience (SPN), was conducted vir…
  arxiv Elise Buckley, Joseph D. Monaco, Kevin M. Schultz, Robert Chalmers 等 2021-09-12T16:00:00Z 置信度 0.78 q-bio.NC
• An overview of open source Deep Learning-based libraries for Neuroscience
  In recent years, deep learning revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publications present applications of deep neural ne…
  arxiv Louis Fabrice Tshimanga, Manfredo Atzori, Federico Del Pup, Maurizio Corbetta 2022-12-19T09:09:40Z 置信度 0.78 q-bio.QMcs.LGcs.NE
• Recommendations for repositories and scientific gateways from a neuroscience perspective
  Digital services such as repositories and science gateways have become key resources for the neuroscience community, but users often have a hard time orienting themselves in the service landscape to find the best fit for their particular needs. INCF (Internati…
  arxiv Malin Sandström, Mathew Abrams, Jan Bjaalie, Mona Hicks 等 2022-01-03T16:01:26Z 置信度 0.78 cs.CYcs.DLq-bio.NC
• A Dynamical Cartography of the Epistemic Diffusion of Artificial Intelligence in Neuroscience
  Neuroscience and AI have an intertwined history, largely relayed in the literature of both fields. In recent years, due to the engineering orientations of AI research and the monopoly of industry for its large-scale applications, the mutual expansion of neuros…
  arxiv Sylvain Fontaine 2025-07-02T12:24:44Z 置信度 0.78 cs.DLphysics.soc-phq-bio.NC
• Data Processing of Functional Optical Microscopy for Neuroscience
  Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and …
  arxiv Hadas Benisty, Alexander Song, Gal Mishne, Adam S. Charles 2022-01-10T18:53:03Z 置信度 0.78 eess.IVq-bio.NCq-bio.QM
• Graph Neural Networks in Network Neuroscience
  Noninvasive medical neuroimaging has yielded many discoveries about the brain connectivity. Several substantial techniques mapping morphological, structural and functional brain connectivities were developed to create a comprehensive road map of neuronal activ…
  arxiv Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik 2021-06-07T11:49:57Z 置信度 0.78 cs.LGq-bio.NC
• Entity-Augmented Neuroscience Knowledge Retrieval Using Ontology and Semantic Understanding Capability of LLM
  Neuroscience research publications encompass a vast wealth of knowledge. Accurately retrieving existing information and discovering new insights from this extensive literature is essential for advancing the field. However, when knowledge is dispersed across mu…
  arxiv Pralaypati Ta, Sriram Venkatesaperumal, Keerthi Ram, Mohanasankar Sivaprakasam 2025-06-03T17:59:18Z 置信度 0.78 cs.CLcs.AI
• Large-scale Foundation Models and Generative AI for BigData Neuroscience
  Recent advances in machine learning have made revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery. Foundation models and large-scale language models (LLMs) have recently achieved human-like intellig…
  arxiv Ran Wang, Zhe Sage Chen 2023-10-27T00:44:40Z 置信度 0.78 q-bio.NCcs.AIcs.HCcs.LGcs.MM
• Cognitive computational neuroscience
  To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models of human cognition, decomp…
  arxiv Nikolaus Kriegeskorte, Pamela K. Douglas 2018-07-31T13:56:16Z 置信度 0.78 q-bio.NC
• Reinforcement Learning and its Connections with Neuroscience and Psychology
  Reinforcement learning methods have recently been very successful at performing complex sequential tasks like playing Atari games, Go and Poker. These algorithms have outperformed humans in several tasks by learning from scratch, using only scalar rewards obta…
  arxiv Ajay Subramanian, Sharad Chitlangia, Veeky Baths 2020-06-25T04:29:15Z 置信度 0.78 cs.LGq-bio.NC
• The Neuroscience of Transformers
  Neuroscience has long informed the development of artificial neural networks, but the success of modern architectures invites, in turn, the converse: can modern networks teach us lessons about brain function? Here, we examine the structure of the cortical colu…
  arxiv Peter Koenig, Mario Negrello 2026-03-16T14:27:39Z 置信度 0.78 q-bio.NCq-bio.SCq-bio.TO
• The Future of Data Analysis in the Neurosciences
  Neuroscience is undergoing faster changes than ever before. Over 100 years our field qualitatively described and invasively manipulated single or few organisms to gain anatomical, physiological, and pharmacological insights. In the last 10 years neuroscience s…
  arxiv Danilo Bzdok, B. T. Thomas Yeo 2016-08-05T20:43:21Z 置信度 0.78 q-bio.NCstat.ML
• Probing artificial neural networks: insights from neuroscience
  A major challenge in both neuroscience and machine learning is the development of useful tools for understanding complex information processing systems. One such tool is probes, i.e., supervised models that relate features of interest to activation patterns ar…
  arxiv Anna A. Ivanova, John Hewitt, Noga Zaslavsky 2021-04-16T16:13:23Z 置信度 0.78 cs.LGcs.CL
• Regions of Interest as nodes of dynamic functional brain networks
  The properties of functional brain networks strongly depend on how their nodes are chosen. Commonly, nodes are defined by Regions of Interest (ROIs), pre-determined groupings of fMRI measurement voxels. Earlier, we have demonstrated that the functional homogen…
  arxiv Elisa Ryyppö, Enrico Glerean, Elvira Brattico, Jari Saramäki 等 2017-10-11T13:26:23Z 置信度 0.78 q-bio.NC
• Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
  Videogames have been a catalyst for advances in many research fields, such as artificial intelligence, human-computer interaction or virtual reality. Over the years, research in fields such as artificial intelligence has enabled the design of new types of game…
  arxiv Paolo Burelli, Laurits Dixen 2024-03-06T12:38:18Z 置信度 0.78 q-bio.NCcs.AI
• Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review
  The development of large-scale artificial intelligence (AI) models is influencing neuroscience research by enabling end-to-end learning from raw brain signals and neural data. In this paper, we review applications of large-scale AI models across four major neu…
  arxiv Shihao Yang, Xiying Huang, Danilo Bernardo, Jun-En Ding 等 2025-10-18T22:45:59Z 置信度 0.78 cs.AIcs.CE
• Universal Differential Equations as a Common Modeling Language for Neuroscience
  The unprecedented availability of large-scale datasets in neuroscience has spurred the exploration of artificial deep neural networks (DNNs) both as empirical tools and as models of natural neural systems. Their appeal lies in their ability to approximate arbi…
  arxiv Ahmed ElGazzar, Marcel van Gerven 2024-03-21T16:07:30Z 置信度 0.78 cs.CE
• The population doctrine in cognitive neuroscience
  A major shift is happening within neurophysiology: a population doctrine is drawing level with the single-neuron doctrine that has long dominated the field. Population-level ideas have so far had their greatest impact in motor neuroscience, but they hold great…
  arxiv R. Becket Ebitz, Benjamin Y. Hayden 2021-03-31T22:25:16Z 置信度 0.78 q-bio.NC
• On the role of theory and modeling in neuroscience
  In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth has created a need for clearer analyses of the theory and modeling approaches u…
  arxiv Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham, Habiba Azab 等 2020-03-30T21:21:59Z 置信度 0.78 q-bio.NCq-bio.QM
• An Introductory Review of Information Theory in the Context of Computational Neuroscience
  This paper introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for two reasons. Simply applying formulae from information theory without un…
  arxiv Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton 2011-07-15T02:58:18Z 置信度 0.78 cs.IT
• NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
  Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened by the National Science Foundation in August 2025, we identify three fundamental capability gaps in…
  arxiv Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski, Gina Adam 等 2026-04-19T01:42:30Z 置信度 0.78 q-bio.NCcs.AIcs.CY
• Linguistics and Human Brain: A Perspective of Computational Neuroscience
  Elucidating the language-brain relationship requires bridging the methodological gap between the abstract theoretical frameworks of linguistics and the empirical neural data of neuroscience. Serving as an interdisciplinary cornerstone, computational neuroscien…
  arxiv Fudong Zhang, Bo Chai, Yujie Wu, Wai Ting Siok 等 2026-02-09T05:10:26Z 置信度 0.78 q-bio.NCcs.CL
• Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience
  Modern scientific fields face the challenge of integrating a wealth of data, analyses, and results. We recently showed that a neglect of this integration can lead to circular analyses and redundant explanations. Here, we help advance scientific integration by …
  arxiv Mika Rubinov 2025-08-12T06:28:49Z 置信度 0.78 q-bio.NC
• Mathematical frameworks for oscillatory network dynamics in neuroscience
  The tools of weakly coupled phase oscillator theory have had a profound impact on the neuroscience community, providing insight into a variety of network behaviours ranging from central pattern generation to synchronisation, as well as predicting novel network…
  arxiv Peter Ashwin, Stephen Coombes, Rachel Nicks 2015-06-18T21:32:30Z 置信度 0.78 nlin.AOq-bio.NC
• covSTATIS: a multi-table technique for network neuroscience
  Similarity analyses between multiple correlation or covariance tables constitute the cornerstone of network neuroscience. Here, we introduce covSTATIS, a versatile, linear, unsupervised multi-table method designed to identify structured patterns in multi-table…
  arxiv Giulia Baracchini, Ju-Chi Yu, Jenny Rieck, Derek Beaton 等 2024-03-21T15:29:01Z 置信度 0.78 q-bio.QM
• Development of theoretical frameworks in neuroscience: a pressing need in a sea of data
  Neuroscience is undergoing dramatic progress because of the vast data streams derived from the new technologies product of the BRAIN initiative and other enterprises. As any other scientific field, neuroscience benefits from having clear definitions of its the…
  arxiv Horacio G. Rotstein, Fidel Santamaria 2022-09-20T19:07:55Z 置信度 0.78 q-bio.NCq-bio.PE
• Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience
  In this study, following the idea of our previous paper (Wang, et al., 2013a), we improve the method to detect and track hot topics in a specific field by using the real-time article usage data. With the "usage count" data provided by Web of Science, we take t…
  arxiv Xianwen Wang, Zhichao Fang 2016-08-19T07:29:34Z 置信度 0.78 cs.DLcs.IR
• Neuroscience 2009 Committee
  crossref 2009-11-14T04:58:50Z 置信度 0.70
• Neuroscience Reviewer Recognition 2020
  crossref 2020-12-24T19:28:25Z 置信度 0.70
• History of Neuroscience: Early Neuroscience
  crossref C.G. Gross 2009-04-17T04:58:48Z 置信度 0.70
• Neuroscience Reviewer Recognition 2019
  crossref 2019-12-31T07:00:22Z 置信度 0.70
• A global optimisation method for robust affine registration of brain images
  openalex Mark Jenkinson, Stephen M. Smith 2001-06-01 置信度 0.72 Computer scienceImage registrationAffine transformationArtificial intelligenceSimilarity (geometry)
• A reproducible evaluation of ANTs similarity metric performance in brain image registration
  openalex Brian Avants, Nicholas J. Tustison, Gang Song, Philip A. Cook 等 2010-09-18 置信度 0.72 Jaccard indexComputer scienceArtificial intelligenceAffine transformationSpatial normalization
• Statistical Parametric Mapping: The Analysis of Functional Brain Images
  In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book descri…
  openalex W.D. Penny, Karl Friston, John Ashburner, Stefan J. Kiebel 等 2007-01-01 置信度 0.72 MagnetoencephalographyModalitiesStatistical parametric mappingComputer scienceData science
• Accurate and robust brain image alignment using boundary-based registration
  openalex Douglas N. Greve, Bruce Fischl 2009-07-01 置信度 0.72 Artificial intelligenceComputer scienceComputer visionRobustness (evolution)Image registration
• DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
  openalex Chao‐Gan Yan, Xindi Wang, Xi‐Nian Zuo, Yu‐Feng Zang 2016-04-13 置信度 0.72 NeuroimagingComputer scienceToolboxResting state fMRIPreprocessor
• BRAIN WORK AND BRAIN IMAGING
  Functional brain imaging with positron emission tomography and magnetic resonance imaging has been used extensively to map regional changes in brain activity. The signal used by both techniques is based on changes in local circulation and metabolism (brain wor…
  openalex Marcus E. Raichle, Mark A. Mintun 2006-04-07 置信度 0.72 NeuroscienceNeuroimagingFunctional magnetic resonance imagingBrain activity and meditationPositron emission tomography
• The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
  openalex Adriana Di Martino, Chao‐Gan Yan, Qinghong Li, E Denio 等 2013-06-18 置信度 0.72 AutismNeuroscienceFunctional magnetic resonance imagingNeuroimagingPsychology
• Multimodal population brain imaging in the UK Biobank prospective epidemiological study
  openalex Karla L. Miller, Fidel Alfaro‐Almagro, Neal K. Bangerter, David L. Thomas 等 2016-09-19 置信度 0.72 BiobankNeuroimagingCohortMedicineModalities
• Sources of Mathematical Thinking: Behavioral and Brain-Imaging Evidence
  Does the human capacity for mathematical intuition depend on linguistic competence or on visuo-spatial representations? A series of behavioral and brain-imaging experiments provides evidence for both sources. Exact arithmetic is acquired in a language-specific…
  openalex Stanislas Dehaene, Elizabeth S. Spelke, Philippe Pinel, R Stănescu 等 1999-05-07 置信度 0.72 IntuitionCognitive psychologyCognitive scienceComputer sciencePsychology
• The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
  The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of …
  openalex Krzysztof J. Gorgolewski, Tibor Auer, Vince D. Calhoun, R. Cameron Craddock 等 2016-06-21 置信度 0.72 Computer scienceNeuroimagingMetadataData sharingSoftware
• Brain Imaging Methods in Neuropsychiatry
  Until the first half of the twentieth century, most data on the neural\ncorrelates of disturbances in human behavior were based on postmortem\nexaminations, with obvious limitations. Some of the very first attempts to\nmap in vivo brain activity were performed…
  crossref 2020-12-22T18:44:46Z 置信度 0.70
• Brain Imaging
  The blood–brain barrier vigorously limits what can get into and out of the brain, making our ability to understand brain function much more difficult than with any other organ in the body. The modern era of brain imaging began about a half-century ago with the…
  crossref Jack M. Gorman 2018-10-06T11:30:13Z 置信度 0.70
• Brain Tumor Imaging
  crossref 2017-06-07T09:11:05Z 置信度 0.70
• Introduction to Brain Imaging
  crossref William W. Orrison 2013-10-23T07:05:03Z 置信度 0.70
• Differential Brain Mechanisms in Bipolar and Unipolar Disorders: Considerations from Brain Imaging
  During the past 15 years, the neurophysiology of affective disorders has received increasing attention, largely related to the development of effective neuroimaging technologies. As these technologies have been applied to patients with unipolar depression or b…
  crossref 2020-12-22T18:44:46Z 置信度 0.70
• Brain Imaging and Behavior: Progress and Opportunities
  crossref Andrew J. Saykin 2007-05-25T15:26:51Z 置信度 0.70
• Brain Imaging and Behavior: A Message from the Editor
  crossref Andrew J. Saykin 2010-03-23T03:14:28Z 置信度 0.70
• Central Sensitization: A Generator of Pain Hypersensitivity by Central Neural Plasticity
  openalex Alban Latrémolière, Clifford J. Woolf 2009-08-26 置信度 0.72 NeuroscienceMedicineSensitizationNociceptionNociceptor
• Principles of Experience-Dependent Neural Plasticity: Implications for Rehabilitation After Brain Damage
  PURPOSE: This paper reviews 10 principles of experience-dependent neural plasticity and considerations in applying them to the damaged brain. METHOD: Neuroscience research using a variety of models of learning, neurological disease, and trauma are reviewed fro…
  openalex Jeffrey A. Kleim, Theresa A. Jones 2008-01-29 置信度 0.72 NeuroplasticityNeuroscienceRehabilitationPsychologyNeurorehabilitation
• Neural plasticity in the ageing brain
  openalex Sara N. Burke, Carol A. Barnes 2005-12-21 置信度 0.72 NeurosciencePrefrontal cortexNeuroplasticityAgeingCognition
• Immune modulation of learning, memory, neural plasticity and neurogenesis
  openalex Raz Yirmiya, Inbal Goshen 2010-10-22 置信度 0.72 NeurogenesisNeuroscienceImmune systemNeuroplasticityNeuroinflammation
• Psychedelics Promote Structural and Functional Neural Plasticity
  Atrophy of neurons in the prefrontal cortex (PFC) plays a key role in the pathophysiology of depression and related disorders. The ability to promote both structural and functional plasticity in the PFC has been hypothesized to underlie the fast-acting antidep…
  openalex Calvin Ly, Alexandra C. Greb, Lindsay P. Cameron, Jonathan M. Wong 等 2018-06-01 置信度 0.72 NeuroscienceNeuroplasticityStructural plasticityPI3K/AKT/mTOR pathwayPrefrontal cortex
• Neural plasticity after peripheral nerve injury and regeneration
  openalex Xavier Navarro, Meritxell Vivó, Antoni Valero‐Cabré 2007-06-23 置信度 0.72 NeuroscienceAxotomyReinnervationBiologyPeripheral nerve injury
• The Role of Neural Plasticity in Depression: From Hippocampus to Prefrontal Cortex
  Neural plasticity, a fundamental mechanism of neuronal adaptation, is disrupted in depression. The changes in neural plasticity induced by stress and other negative stimuli play a significant role in the onset and development of depression. Antidepressant trea…
  openalex Wei Liu, Tongtong Ge, Yashu Leng, Zhenxiang Pan 等 2017-01-01 置信度 0.72 NeuroplasticityNeurosciencePlasticityDepression (economics)Antidepressant
• Folate and homocysteine metabolism in neural plasticity and neurodegenerative disorders
  openalex Mark P. Mattson, Thomas B. Shea 2003-03-01 置信度 0.72 HomocysteineNeurogenesisOxidative stressDiseasePathogenesis
• The Role of BDNF on Neural Plasticity in Depression
  Using behavioral, pharmacological, and molecular methods, lots of studies reveal that depression is closely related to the abnormal neural plasticity processes occurring in the prefrontal cortex and limbic system such as the hippocampus and amygdala. Meanwhile…
  openalex Tao Yang, Zheng Nie, Haifeng Shu, Yong-qin Kuang 等 2020-04-15 置信度 0.72 NeurotrophinNeuroplasticityNeurotrophic factorsNeuroscienceBrain-derived neurotrophic factor
• Drug addiction: A model for the molecular basis of neural plasticity
  openalex Eric J. Nestler, Bruce T. Hope, Katherine L. Widnell 1993-12-01 置信度 0.72 AddictionNeuroscienceNeuroplasticityPsychologyDrug