標(biāo)題: Titlebook: An Introduction to Model-Based Cognitive Neuroscience; Birte U. Forstmann,Brandon M. Turner Book 2024Latest edition The Editor(s) (if appl [打印本頁] 作者: Flange 時(shí)間: 2025-3-21 18:59
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書目名稱An Introduction to Model-Based Cognitive Neuroscience年度引用學(xué)科排名
書目名稱An Introduction to Model-Based Cognitive Neuroscience讀者反饋
書目名稱An Introduction to Model-Based Cognitive Neuroscience讀者反饋學(xué)科排名
作者: PIZZA 時(shí)間: 2025-3-21 21:17
An Introduction to Model-Based Cognitive Neuroscience978-3-031-45271-0作者: 持久 時(shí)間: 2025-3-22 01:42 作者: 本能 時(shí)間: 2025-3-22 06:50
Reinforcement Learning,ovide an overview of the methodological approach underlying model-based fMRI. This extends to pragmatic considerations when working in this domain with an eye towards more recent developments in both fMRI and computational modelling, such as multivariate analyses and assessing model quality, respect作者: nerve-sparing 時(shí)間: 2025-3-22 10:09 作者: groggy 時(shí)間: 2025-3-22 15:20 作者: Morbid 時(shí)間: 2025-3-22 20:21
Ultrahigh Field Magnetic Resonance Imaging for Model-Based Neuroscience,ar imaging and the investigation of feedback loops as can be found in the cerebellum. These investigations are only achievable with the modern ultrahigh field (UHF) scanners; hence this chapter will focus on the use of 7?T MRI in cognitive neuroscience..After a brief general introduction on the conc作者: 遺忘 時(shí)間: 2025-3-22 21:12
Cognitive Models as a Tool to Link Decision Behavior with EEG Signals,rks that propose a common latent source that generates predictions for multiple outputs, such as behavior and neural data. The second section is a review of linking approaches in reinforcement learning models of decision making. This includes a brief history of formal linking approaches between EEG 作者: GLUT 時(shí)間: 2025-3-23 05:03 作者: 不能妥協(xié) 時(shí)間: 2025-3-23 08:07 作者: linguistics 時(shí)間: 2025-3-23 09:48 作者: MONY 時(shí)間: 2025-3-23 13:57 作者: inflate 時(shí)間: 2025-3-23 20:57 作者: 肌肉 時(shí)間: 2025-3-23 23:41
Besonderheiten bei Starkstromverletzungen,ics. Such neural data also provide valuable constraints on SCRI that illuminate the relative importance of different types of competitive and recurrent interactions. Simulated activity from SCRI, coupled with a Gated Accumulator Model (GAM) of FEF movement neurons, reproduces the details of response作者: 發(fā)展 時(shí)間: 2025-3-24 02:25
Besonderheiten bei Starkstromverletzungen,ar imaging and the investigation of feedback loops as can be found in the cerebellum. These investigations are only achievable with the modern ultrahigh field (UHF) scanners; hence this chapter will focus on the use of 7?T MRI in cognitive neuroscience..After a brief general introduction on the conc作者: Abbreviate 時(shí)間: 2025-3-24 08:51 作者: jocular 時(shí)間: 2025-3-24 12:31 作者: 缺乏 時(shí)間: 2025-3-24 17:41 作者: incarcerate 時(shí)間: 2025-3-24 19:41 作者: 條約 時(shí)間: 2025-3-25 02:13 作者: 奇怪 時(shí)間: 2025-3-25 07:09 作者: 有毛就脫毛 時(shí)間: 2025-3-25 10:46 作者: Expertise 時(shí)間: 2025-3-25 13:00
Geschichte der Behandlung der Verbrennungen,s a machine learning approach that can discover such cognitive processes in M/EEG data. The method uses a combination of multivariate pattern analysis (MVPA) and hidden semi-Markov models (HsMMs), to take both the spatial extent and the temporal duration of cognitive processes into account. In the f作者: Sinus-Rhythm 時(shí)間: 2025-3-25 17:07
Besonderheiten bei Starkstromverletzungen, works at the level of individual neurons and “why” cognition occurs at the level of goal-directed whole-organism behavior. This chapter presents an illustrative example of such a model, Salience by Competitive and Recurrent Interaction (SCRI; Cox et al. Psychol Rev, 2022), a theory of how neurons i作者: Negligible 時(shí)間: 2025-3-25 20:05
Besonderheiten bei Starkstromverletzungen,of fMRI with the discovery of the blood-oxygen-level-dependent (BOLD) effect in the early 1990s (Ogawa et al., Proc Natl Acad Sci U S A 87(24):9868–9872, 1990; Kwong et al., Proc Natl Acad Sci U S A 89(12):5675–5679, 1992). Numerous studies have mapped the functional architecture of the cerebral cor作者: thwart 時(shí)間: 2025-3-26 00:10
https://doi.org/10.1007/978-3-642-68738-9ve neuroscience studies with human participants. They are sensitive to, respectively, changes in electric and magnetic fields that are generated by post-synaptic currents on spatially aligned pyramidal cells in cortex. The superior time resolution of EEG/MEG compared tofunctional magnetic resonance 作者: engender 時(shí)間: 2025-3-26 05:47
Kapitel 2: Ablauf der Verbriefung,gnitive neuroscience. These developments span several dimensions, such as making joint models more accessible for use in any generic problem, increasing the scalability of the linking structures to prepare them for high-dimensional data, imposing constraints on the temporal dynamics of the model, an作者: neutralize 時(shí)間: 2025-3-26 09:33 作者: 變化無常 時(shí)間: 2025-3-26 15:40 作者: 廣告 時(shí)間: 2025-3-26 17:47
Der Aufstieg fortgeschrittener Marginalit?tral dynamics of free recall are revealed by the recall sequences produced by participants. A variety of cognitive models have been designed to account for these behavioral dynamics. These models describe the cognitive operations that give rise to the observed recall sequences. This chapter provides 作者: obstinate 時(shí)間: 2025-3-26 21:09
Von der Verwechslung zum Vergleich decision-making. In particular, it formalizes the cognitive processes behind eye movements and choices on the basis of the well-established computational modeling framework of sequential sampling models. The second line of research also reverts to this framework and combines it with that of reinfor作者: CHYME 時(shí)間: 2025-3-27 01:13 作者: caldron 時(shí)間: 2025-3-27 08:41 作者: 摘要 時(shí)間: 2025-3-27 12:13
http://image.papertrans.cn/a/image/155365.jpg作者: 鞏固 時(shí)間: 2025-3-27 15:25
https://doi.org/10.1007/978-3-031-45271-0cognitive neuroscience; computational neuroscience; decision making; mathematical models; model-based ne作者: 激怒 時(shí)間: 2025-3-27 18:33 作者: 休閑 時(shí)間: 2025-3-27 22:08
of models for neuroscienceThe main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numer作者: 驚奇 時(shí)間: 2025-3-28 02:44 作者: 肉身 時(shí)間: 2025-3-28 08:10
General Introduction to Model-Based Cognitive Neuroscience,r linking cognitive models to neurophysiological data. We then discuss a few key applications of MbCN while highlighting specific contributions that will be discussed within the book. We close with an outlook on potential future directions in the field.作者: 疼死我了 時(shí)間: 2025-3-28 14:10
Geschichte der Behandlung der Verbrennungen, use the results of the analysis to inform a high-level cognitive model developed in the ACT-R (adaptive control of thought – rational) architecture. Finally, we will discuss how the HsMM-MVPA method can be extended and how it can inform other modeling paradigms.作者: Preamble 時(shí)間: 2025-3-28 18:03 作者: 魯莽 時(shí)間: 2025-3-28 22:28 作者: Obstacle 時(shí)間: 2025-3-29 01:12 作者: 獸群 時(shí)間: 2025-3-29 06:25 作者: 艦旗 時(shí)間: 2025-3-29 10:11 作者: MAG 時(shí)間: 2025-3-29 15:05
Book 2024Latest edition to Model-Based Cognitive Neuroscience explores important new advances in the field including joint modeling and applications in areas such as computational psychiatry, neurodegenerative diseases, and social decision-making.作者: Intractable 時(shí)間: 2025-3-29 16:22
Der Aufstieg fortgeschrittener Marginalit?ta tutorial overview of a likelihood-based free-recall model designed to connect these cognitive operations with neural signals recorded as participants search their memories during a free-recall task.作者: Obligatory 時(shí)間: 2025-3-29 20:45 作者: achlorhydria 時(shí)間: 2025-3-30 00:48 作者: 危機(jī) 時(shí)間: 2025-3-30 06:53
nd edition of Introduction to Model-Based Cognitive Neuroscience explores important new advances in the field including joint modeling and applications in areas such as computational psychiatry, neurodegenerative diseases, and social decision-making.978-3-031-45273-4978-3-031-45271-0作者: 圓錐體 時(shí)間: 2025-3-30 09:20
https://doi.org/10.1007/978-3-642-68738-9tant signal features for the field of cognitive neuroscience. Furthermore, it illustrates how the combination of cognitive modelling and EEG/MEG may aid a meaningful interpretation of experimental findings.作者: Favorable 時(shí)間: 2025-3-30 12:22
An Introduction to EEG/MEG for Model-Based Cognitive Neuroscience,tant signal features for the field of cognitive neuroscience. Furthermore, it illustrates how the combination of cognitive modelling and EEG/MEG may aid a meaningful interpretation of experimental findings.作者: 事與愿違 時(shí)間: 2025-3-30 19:50
