Naturalistic stimuli, including movie, music, and speech, have been increasingly applied in the research of neuroimaging. Relative to a resting-state or single-task state, naturalistic stimuli can evoke more intense brain activities and have been proved to possess higher test–retest reliability, suggesting greater potential to study adaptive human brain function. In the current research, naturalistic functional magnetic resonance imaging (N-fMRI) has been a powerful tool to record brain states under naturalistic stimuli, and many efforts have been devoted to study the high-level (...) semantic features from spatial or temporal representations via N-fMRI. However, integrating both spatial and temporal characteristics of brain activities for better interpreting the patterns under naturalistic stimuli is still underexplored. In this work, a novel hybrid learning framework that comprehensively investigates both the spatial (via Predictive Model) and the temporal [via convolutional neural network (CNN) model] characteristics of the brain is proposed. Specifically, to focus on certain relevant regions from the whole brain, regions of significance (ROS), which contain common spatial activation characteristics across individuals, are selected via the Predictive Model. Further, voxels of significance (VOS), whose signals contain significant temporal characteristics under naturalistic stimuli, are interpreted via one-dimensional CNN (1D-CNN) model. In this article, our proposed framework is applied onto the N-fMRI data during naturalistic classical/pop/speech audios stimuli. The promising performance is achieved via the Predictive Model to differentiate the different audio categories. Especially for distinguishing the classic and speech audios, the accuracy of classification is up to 92%. Moreover, spatial ROS and VOS are effectively obtained. Besides, temporal characteristics of the high-level semantic features are investigated on the frequency domain via convolution kernels of 1D-CNN model, and we effectively bridge the “semantic gap” between high-level semantic features of N-fMRI and low-level acoustic features of naturalistic audios in the frequency domain. Our results provide novel insights on characterizing spatiotemporal patterns of brain activities via N-fMRI and effectively explore the high-level semantic features under naturalistic stimuli, which will further benefit the understanding of the brain working mechanism and the advance of naturalistic stimuli clinical application. (shrink)

本书分为神话与诉讼,历史与诉讼,故事与诉讼,制度法理,学术争鸣,法学教育,治学人生等八辑,收录了剧与诉的随想,正义之舞,游戏与诉讼,圣殿骑士的死亡密码,走向刑事宪法,法官权力之源与品格之治,法国法学教 育三题,关问于山水之间等文章.

Simulation – imagining future events – plays a role in decision-making. In Conviction Narrative Theory, people's emotional responses to their simulations inform their choices. Yet imagining one possible future also increases its plausibility and accessibility relative to other futures. We propose that the act of simulation, in addition to affective evaluation, drives people to choose in accordance with their simulations.

It was initially believed that G‐protein‐coupled receptors, such as metabotropic glutamate receptors, could simply be described as individual proteins that are associated with intracellular signal cascades via G‐proteins. This view is no longer tenable. Today we know that metabotropic glutamate receptors (mGluRs) can dimerize and bind to a variety of proteins in addition to trimeric G‐proteins. These newly identified protein interactions led to the discovery of new regulatory mechanisms that are independent of and sometimes synergistic with the classical G‐protein‐coupled second (...) messenger pathways. Notably, several of these mechanisms connect mGluR‐mediated signaling to other receptor classes, thereby creating a network of different receptor types and associated signal cascades. The intracellular C‐termini of mGluRs play a key role in the regulation of these networks, and various new protein interactions of these domains were described recently. Because mGluRs are involved in a variety of physiological and pathophysiological processes, some of the proteins interacting with this receptor class have potential as valuable pharmaceutical targets. This review will give a comprehensive overview of proteins interacting with mGluR C‐termini, highlight new evolving regulatory mechanisms for glutamatergic signal transduction and discuss possibilities for future drug development. BioEssays 29: 60–73, 2007. © 2006 Wiley Periodicals, Inc. (shrink)

本书内容包括20世纪90年代以后的生态社会主义概述, 20世纪90年代以后的生态社会主义的新变化与动因, 20世纪90年代以后的生态社会主义的主要新观点——反思与批判, 生态社会主义的实践和启示等.

Dissipative systems are described by a Hamiltonian, combined with a “dynamical matrix” which generalizes the simplectic form of the equations of motion. Criteria for dissipation are given and the examples of a particle with friction and of the Lotka-Volterra model are presented. Quantization is first introduced by translating generalized Poisson brackets into commutators and anticommutators. Then a generalized Schrödinger equation expressed by a dynamical matrix is constructed and discussed.

人人都有一雙藝術家的眼睛。 「不論你曾崇仰何人何物，並以誰為師，最後你必須回到你自己本身。 藝術從未遠人，只是人遠離了他真正的自己。 在都市中，我們先失去了我們的眼睛，然後我們失去了一切。」－史作檉 本書為史作檉談論藝術美學文章集結，強調人人都有藝術家的眼睛，只在於人們失去了觀看的方式與純粹的初衷。 共分四大篇九章節，從藝術本質談起，援引賈克梅第、康丁斯基、蒙德里安、李德等藝術家創作，從繪畫、雕塑、音樂，旁述及顏氏篆書中的圖形特性，進臻至哲學美學、形上美學，淺明清晰，在一本書的閱讀時間裡就可在繁多 的藝術理論中找到自己的「眼睛」與觀看角度。.

本卷收入胡适哲学与文化方面的论文、函牍、讲演、札记80余篇。其中包括实验主义、我们对于西洋近代文明的态度等重要文章。所收文章全面反映了胡适哲学思想、学术主张和对于中西文化的态度,对于了解和研究胡适本人 以及现代中国学术史、现代中国启蒙运动等内容。.

本书是研究马克思主义哲学的成果汇集。这些成果从马克思主义哲学的视域,对当代重大现实问题和理论问题进行了认真的研究.

胡適（1891-1962），安徽績溪人。原名嗣穈，後改名胡適，字適之，曾用筆名希彊、臧暉等。新文化運動的奠基人與領袖之一，倡導約翰・杜威的實用主義。1917年回國任教北大，參與編輯《新青年》《努力周報 》《獨立評論》等雜誌，先後擔任中華民國駐美大使、國立北京大學校長、台北「中央研究院」院長等職，著有《中國哲學史大綱》《嘗試集》《胡適文存》等書，並獲諾貝爾文學獎提名。.

En esta obra se analizan las ideas estéticas más relevantes de tres filósofos contemporáneos, H. Marcuse, M. Merleau-Ponty y H-G. Gadamer, articuladas en torno a la productiva interrelación arte y filosofía y, todavía más concretamente, en torno a la preocupación por el tipo de razón y la búsqueda racional de la libertad que predomina en el ámbito artístico.

This ground-breaking book brings together researchers from a wide range of disciplines to discuss the control and coordination of processes involved in perceptually guided actions. The research area of motor control has become an increasingly multidisciplinary undertaking. Understanding the acquisition and performance of voluntary movements in biological and artificial systems requires the integration of knowledge from a variety of disciplines from neurophysiology to biomechanics.