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Institution

University of Colorado Boulder

EducationBoulder, Colorado, United States
About: University of Colorado Boulder is a education organization based out in Boulder, Colorado, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 48794 authors who have published 115151 publications receiving 5387328 citations. The organization is also known as: CU Boulder & UCB.


Papers
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TL;DR: The authors proposed that people adopt others' perspectives by serially adjusting from their own, and found that people were more inclined to accept plausible values encountered early in the adjustment process than when inclined to reject them.
Abstract: The authors propose that people adopt others’ perspectives by serially adjusting from their own. As predicted, estimates of others’ perceptions were consistent with one’s own but differed in a manner consistent with serial adjustment (Study 1). Participants were slower to indicate that another’s perception would be different from - rather than similar to - their own (Study 2). Egocentric biases increased under time pressure (Study 2) and decreased with accuracy incentives (Study 3). Egocentric biases also increased when participants were more inclined to accept plausible values encountered early in the adjustment process than when inclined to reject them (Study 4). Finally, adjustments tend to be insufficient, in part, because people stop adjusting once a plausible estimate is reached (Study 5).

910 citations

Journal ArticleDOI
TL;DR: The current study demonstrates the separability of spatial and verbal working memory resources among college students and demonstrates that both the processing and storage components of working memory tasks are important for predicting performance on spatial thinking and language processing tasks.
Abstract: The current study demonstrates the separability of spatial and verbal working memory resources among college students. In Experiment 1, we developed a spatial span task that taxes both the processing and storage components of spatial working memory. This measure correlates with spatial ability (spatial visualization) measures, but not with verbal ability measures. In contrast, the reading span test, a common test of verbal working memory, correlates with verbal ability measures, but not with spatial ability measures. Experiment 2, which uses an interference paradigm to cross the processing and storage demands of span tasks, replicates this dissociation and further demonstrates that both the processing and storage components of working memory tasks are important for predicting performance on spatial thinking and language processing tasks.

908 citations

Posted Content
TL;DR: Results suggest that although affective experience may typically be bipolar, the underlying processes, and occasionally the resulting experience of emotion, are better characterized as bivariate.
Abstract: The authors investigated whether people can feel happy and sad at the same time. J. A. Russell and J. M. Carroll's (1999) circumplex model holds that happiness and sadness are polar opposites and, thus, mutually exclusive. In contrast, the evaluative space model (J. T. Cacioppo & G. G. Berntson, 1994) proposes that positive and negative affect are separable and that mixed feelings of happiness and sadness can co-occur. The authors both replicated and extended past research by showing that whereas most participants surveyed in typical situations felt either happy or sad, many participants surveyed immediately after watching the film Life Is Beautiful, moving out of their dormitories, or graduating from college felt both happy and sad. Results suggest that although affective experience may typically be bipolar, the underlying processes, and occasionally the resulting experience of emotion, are better characterized as bivariate.

907 citations

Journal ArticleDOI
09 Apr 2011-Brain
TL;DR: Integration of information across disciplines should enhance opportunities for the translation of neuroplasticity and circuit retraining research into effective clinical therapies.
Abstract: Neuroplasticity can be defined as the ability of the nervous system to respond to intrinsic or extrinsic stimuli by reorganizing its structure, function and connections. Major advances in the understanding of neuroplasticity have to date yielded few established interventions. To advance the translation of neuroplasticity research towards clinical applications, the National Institutes of Health Blueprint for Neuroscience Research sponsored a workshop in 2009. Basic and clinical researchers in disciplines from central nervous system injury/stroke, mental/addictive disorders, paediatric/developmental disorders and neurodegeneration/ageing identified cardinal examples of neuroplasticity, underlying mechanisms, therapeutic implications and common denominators. Promising therapies that may enhance training-induced cognitive and motor learning, such as brain stimulation and neuropharmacological interventions, were identified, along with questions of how best to use this body of information to reduce human disability. Improved understanding of adaptive mechanisms at every level, from molecules to synapses, to networks, to behaviour, can be gained from iterative collaborations between basic and clinical researchers. Lessons can be gleaned from studying fields related to plasticity, such as development, critical periods, learning and response to disease. Improved means of assessing neuroplasticity in humans, including biomarkers for predicting and monitoring treatment response, are needed. Neuroplasticity occurs with many variations, in many forms, and in many contexts. However, common themes in plasticity that emerge across diverse central nervous system conditions include experience dependence, time sensitivity and the importance of motivation and attention. Integration of information across disciplines should enhance opportunities for the translation of neuroplasticity and circuit retraining research into effective clinical therapies.

907 citations

Journal ArticleDOI
TL;DR: How the theory can be applied to explain a wide range of impairments that have been observed when learning and memory tasks have been employed to assess the effect of hippocampal formation damage is illustrated.
Abstract: It is proposed that the hippocampal formation makes a unique contribution to memory by providing the neural basis for the initial acquisition and storage of configural associations among events. A distinction is made between two kinds of memory processes: a simple associative process, which does not depend on the hippocampal formation, and a configural associative process, which does. The simple associative system records the organism’s experiences as changes in the strength of associations between elementary stimulus events. The configural associative system combines the representations of elementary stimulus events to construct unique representations and allows for the formation of associations between these configural representations and other elementary representations. In the present paper, the results of two experiments designed to test predictions of our theory are described. We then illustrate how the theory can be applied to explain a wide range of impairments that have been observed when learning and memory tasks have been employed to assess the effect of hippocampal formation damage. These include tasks that measure place learning, recognition memory, latent inhibition, serial-compound conditioning, discrimination-reversal learning, and stimulus-selection processes. The relationship of our position to some other views of hippocampal function is discussed, and we conclude with suggestions for future research.

907 citations


Authors

Showing all 49233 results

NameH-indexPapersCitations
Yi Chen2174342293080
Robert J. Lefkowitz214860147995
Rob Knight2011061253207
Charles A. Dinarello1901058139668
Jie Zhang1784857221720
David Haussler172488224960
Bradley Cox1692150156200
Gang Chen1673372149819
Rodney S. Ruoff164666194902
Menachem Elimelech15754795285
Jay Hauser1552145132683
Robert E. W. Hancock15277588481
Robert Plomin151110488588
Thomas E. Starzl150162591704
Rajesh Kumar1494439140830
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023164
2022780
20216,287
20206,493
20196,063
20185,522