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1.
ANTHONY STEVENS 《The Journal of analytical psychology》1995,40(3):353-364
Impressive reaffirmation of Jung's archetypal hypothesis has come from developments in behavioural biology (Tinbergen 1951; Cosmides 1985), psycholinguistics (Chomsky 1965), structural anthropology (Lévi-Strauss 1967), developmental psychology (Bowlby 1969), dream research (Jouvet 1975). neuroscience (MacLean 1976), sociobiology (Wilson 1978), and evolutionary psychiatry (Gardner 1988; Gilbert 1989). A close correspondence exists between Jungian theories of dreaming in human beings and modern biological theories of dreaming in animals. A paradigm shift is under way in the direction of a growing cross-disciplinary awareness that all human sciences are about archetypal manifestations and that these apply as much to the body as to the mind. Jungian psychology must keep abreast of these developments if it is not to be sidelined and superseded by less humane therapeutic philosophies. 相似文献
2.
心算加工的认知神经科学研究 总被引:5,自引:0,他引:5
近几年(1999-2005)有关心算加工的脑活动机制研究发现,类似九九乘法表这样的算术知识提取(如3×5)主要与左脑顶内沟有关,但当心算变得更复杂时(如26×38),左脑额叶下部出现明显激活,这表明心算与语言和工作记忆关系密切。另一方面,也存在不依赖于语言的即表现为视觉表象活动的心算,右脑的一些脑区在其中起了作用。简言之,所有与心算有关的脑区涉及到大脑前额皮层和颞顶枕联合皮层的综合作用,并总体表现为左脑优势,但具有特殊心算能力的人其心算还与右脑前额叶和颞叶内侧脑区的活动有关。 相似文献
3.
Moral psychology has long focused on reasoning, but recent evidence suggests that moral judgment is more a matter of emotion and affective intuition than deliberate reasoning. Here we discuss recent findings in psychology and cognitive neuroscience, including several studies that specifically investigate moral judgment. These findings indicate the importance of affect, although they allow that reasoning can play a restricted but significant role in moral judgment. They also point towards a preliminary account of the functional neuroanatomy of moral judgment, according to which many brain areas make important contributions to moral judgment although none is devoted specifically to it. 相似文献
4.
《Philosophical Psychology》2012,25(6):749-772
Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be ‘biologically plausible’: models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting existing data, and (3) the derivation of new predictions. All three sources of support require modelers to be explicit about the ontology of the model, and require the existence of data constraining the modeling. For situations in which such data are only sparsely available, we suggest a new approach. If several models are constructed that together form a hierarchy of models, higher-level models can be constrained by lower-level models, and low-level models can be constrained by behavioral features of the higher-level models. Modeling the same substrate at different levels of representation, as proposed here, thus has benefits that exceed the merits of each model in the hierarchy on its own. 相似文献
5.
《Philosophical Psychology》2012,25(1):59-74
Some researchers claim that simulations of the emergence of communication in populations of autonomous agents provide empirical support for ‘use’ theories of meaning. I argue that this claim faces at least two major challenges. First, the empirical adequacy of such simulations must be justified, or the inference from simulation results to real-world linguistic behavior must be dropped; and second, the proffered simulations are in fact compatible with all of the competing theories of meaning surveyed, suggesting that theories of meaning are not the kinds of theories for which simulations provide evidence. To conclude, I consider what impact this has on the project of developing a naturalized theory of language. 相似文献
6.
Robert B. Glassman 《Zygon》1998,33(4):661-683
Ralph Burho's paradigmatic scientific innovation is the extension of the concept of symbiosis to coadapted human genotypes and "culturetypes," centered on religion. Civilization also requires a coexistent secular arena, where religion's nearness may help prevent our natural synergistic instrumentalizations of each other from degrading to losses of respect for one another as responsible free agents. The mixed messages in the Bible's diverse stories help to preserve a richness of choices in memory as we navigate history. We science-and-religion theorists should expand our cademic base to include economics, politics, literature, and other areas, while emulating Ralph's wise and good-humored ways of drawing us together and affecting our lives. 相似文献
7.
Regier, Kay, and Khetarpal report the results of computer simulations that cluster color stimuli on the basis of their coordinates in CIELAB space, one of two commonly used perceptual color spaces. Regier and coauthors find partitions of those stimuli that are strikingly similar to the way actual color lexicons partition color space. They do not argue for the custom-made clustering method used in their simulations, nor for the assumption of CIELAB space. The present paper aims to answer the question to what extent their computational results depend on these assumptions. It does this by applying a great variety of known clustering methods to Regier et al.’s stimuli, and by assuming not only CIELAB space but also CIELUV space, the other main color space. 相似文献
8.
James S. Magnuson Heejo You Sahil Luthra Monica Li Hosung Nam Monty Escabí Kevin Brown Paul D. Allopenna Rachel M. Theodore Nicholas Monto Jay G. Rueckl 《Cognitive Science》2020,44(4):e12823
Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR. 相似文献
9.
Visual word recognition is facilitated by the presence of orthographic neighbors that mismatch the target word by a single letter substitution. However, researchers typically do not consider where neighbors mismatch the target. In light of evidence that some letter positions are more informative than others, we investigate whether the influence of orthographic neighbors differs across letter positions. To do so, we quantify the number of enemies at each letter position (how many neighbors mismatch the target word at that position). Analyses of reaction time data from a visual word naming task indicate that the influence of enemies differs across letter positions, with the negative impacts of enemies being most pronounced at letter positions where readers have low prior uncertainty about which letters they will encounter (i.e., positions with low entropy). To understand the computational mechanisms that give rise to such positional entropy effects, we introduce a new computational model, VOISeR (Visual Orthographic Input Serial Reader), which receives orthographic inputs in parallel and produces an over-time sequence of phonemes as output. VOISeR produces a similar pattern of results as in the human data, suggesting that positional entropy effects may emerge even when letters are not sampled serially. Finally, we demonstrate that these effects also emerge in human subjects' data from a lexical decision task, illustrating the generalizability of positional entropy effects across visual word recognition paradigms. Taken together, such work suggests that research into orthographic neighbor effects in visual word recognition should also consider differences between letter positions. 相似文献
10.